@article {1427, title = {Prevalence of atrial fibrillation in elderly subjects (the Cardiovascular Health Study).}, journal = {Am J Cardiol}, volume = {74}, year = {1994}, month = {1994 Aug 01}, pages = {236-41}, abstract = {

Atrial fibrillation (AF) is a common arrhythmia in elderly persons and a common cause of embolic stroke. Most studies of the prevalence and correlates of AF have used selected, hospital-based populations. The Cardiovascular Health Study is a population-based, longitudinal study of risk factors for coronary artery disease and stroke in 5,201 men and women aged > or = 65 years. AF was diagnosed in 4.8\% of women and in 6.2\% of men at the baseline examination, and prevalence was strongly associated with advanced age in women. Prevalence of AF was 9.1\% in men and women with clinical cardiovascular disease, 4.6\% in patients with evidence of subclinical but no clinical cardiovascular disease, and only 1.6\% in subjects with neither clinical nor subclinical cardiovascular disease. A history of congestive heart failure, valvular heart disease and stroke, echocardiographic evidence of enlarged left atrial dimension, abnormal mitral or aortic valve function, treated systemic hypertension, and advanced age were independently associated with the prevalence of AF. The low prevalence of AF in the absence of clinical and subclinical cardiovascular disease calls into question the existence and clinical usefulness of the concept of so-called "lone atrial fibrillation" in the elderly.

}, keywords = {Aged, Aged, 80 and over, Anti-Arrhythmia Agents, Anticoagulants, Atrial Fibrillation, Blood Glucose, Cardiovascular Diseases, Chi-Square Distribution, Coronary Disease, Electrocardiography, Female, Humans, Male, Prevalence, Regression Analysis, Sampling Studies}, issn = {0002-9149}, author = {Furberg, C D and Psaty, B M and Manolio, T A and Gardin, J M and Smith, V E and Rautaharju, P M} } @article {1421, title = {Laboratory methods and quality assurance in the Cardiovascular Health Study.}, journal = {Clin Chem}, volume = {41}, year = {1995}, month = {1995 Feb}, pages = {264-70}, abstract = {

The Cardiovascular Health Study is an observational cohort study of risk factors for cardiovascular disease in 5201 participants, ages > or = 65 years. We report the methods and quality-assurance results for blood procurement, processing, shipping, storage, and sample analysis used during the first examination period (May 1989-June 1990). The most frequent difficulty in phlebotomy and processing was the requirement of more than one venipuncture (in 2.6\% of the participants). The CVs for control materials ranged from 0.93\% for glucose to 10.7\% for insulin; most were < 4\%. In addition to standard quality-assurance methods, we applied two other methods: technical error calculation for replicates, and weighted linear regression to assess time trend in results of control materials. After outliers were excluded, technical error values ranged from 1.7 for uric acid to 18.8 for insulin. Factor VII and factor VIII had slight trends over the 12-month analysis period. Results of quality-assurance analyses used to resolve problems were successful, thereby improving the second laboratory examination.

}, keywords = {Aged, Blood Glucose, Blood Specimen Collection, Cardiovascular Diseases, Chemistry, Clinical, Factor VII, Factor VIII, Fibrinogen, Humans, Insulin, Quality Control, Regression Analysis, Triglycerides}, issn = {0009-9147}, author = {Cushman, M and Cornell, E S and Howard, P R and Bovill, E G and Tracy, R P} } @article {1488, title = {Incidence of and risk factors for atrial fibrillation in older adults.}, journal = {Circulation}, volume = {96}, year = {1997}, month = {1997 Oct 07}, pages = {2455-61}, abstract = {

BACKGROUND: This study aimed to describe the incidence of atrial fibrillation (AF) among older adults during 3 years of follow-up.

METHODS AND RESULTS: In this cohort study, 5201 adults > or = 65 years old were examined annually on four occasions between June 1989 and May 1993. At baseline, participants answered questionnaires and underwent a detailed examination that included carotid ultrasound, pulmonary function tests, ECG, and echocardiography. Subjects with a pacemaker or AF at baseline (n=357) were excluded. New cases of AF were identified from three sources: (1) annual self-reports, (2) annual ECGs, and (3) hospital discharge diagnoses. Cox proportional-hazards models were used to assess baseline risk factors as predictors of incident AF. Among 4844 participants, 304 developed a first episode of AF during an average follow-up of 3.28 years, for an incidence of 19.2 per 1000 person-years. The onset was strongly associated with age, male sex, and the presence of clinical cardiovascular disease. For men 65 to 74 and 75 to 84 years old, the incidences were 17.6 and 42.7, respectively, and for women, 10.1 and 21.6 events per 1000 person-years. In stepwise models, the use of diuretics, a history of valvular heart disease, coronary disease, advancing age, higher levels of systolic blood pressure, height, glucose, and left atrial size were all associated with an increased risk of AF. The use of beta-blockers and high levels of alcohol use, cholesterol, and forced expiratory volume in 1 second were associated with a reduced risk of AF.

CONCLUSIONS: The incidence of AF in older adults may be higher than estimated by previous population studies. Left atrial size appears to be an important risk factor, and the control of blood pressure and glucose may be important in preventing the development of AF.

}, keywords = {Adult, Aged, Atrial Fibrillation, Blood Glucose, Blood Pressure, Cerebrovascular Disorders, Cohort Studies, Coronary Disease, Electrocardiography, Female, Follow-Up Studies, Hospital Records, Humans, Incidence, Male, Prospective Studies, Risk Factors, United States}, issn = {0009-7322}, author = {Psaty, B M and Manolio, T A and Kuller, L H and Kronmal, R A and Cushman, M and Fried, L P and White, R and Furberg, C D and Rautaharju, P M} } @article {591, title = {Antidiabetic treatment trends in a cohort of elderly people with diabetes. The cardiovascular health study, 1989-1997.}, journal = {Diabetes Care}, volume = {22}, year = {1999}, month = {1999 May}, pages = {736-42}, abstract = {

OBJECTIVE: This study characterizes the pharmaceutical treatment of type 2 diabetes from 1989-1990 to 1996-1997 in an elderly cohort.

RESEARCH DESIGN AND METHODS: A total of 5,888 adults aged > or = 65 years were recruited and attended a baseline clinic visit in 1989-1990 (n = 5,201, original cohort) or 1992-1993 (n = 687. African-American [new] cohort) as participants of the Cardiovascular Health Study. Fasting serum glucose (FSG) was measured at baseline. Medication use was ascertained by drug inventory at all annual clinic visits. Diabetes was defined at baseline as insulin or oral hypoglycemic agent (OHA) use or as having an FSG > or = 7.0 mmol/l (126 mg/dl), the current consensus definition of diabetes.

RESULTS: A total of 387 (7\%) original (FSG = 9.8 mmol/l [177 mg/dl]) and 115 (17\%) new (FSG = 10.6 mmol/l [191 mg/dl]) cohort members had pharmacologically treated diabetes at baseline. Among those in the original and in the new cohorts who survived follow-up, respectively, OHA use decreased from 80 to 48\% (P < 0.001) and from 67 to 50\% (P < 0.003) and insulin use increased from 20 to 33\% (P = 0.001) and from 33 to 37\% (P = 0.603). There were 396 (8\%) original (FSG = 8.8 mmol/l [159 mg/dl]) and 45 (7\%) new (FSG = 10.0 mmol/l [181 mg/dl]) cohort members with diabetes untreated at baseline. Among them, respectively, OHA use reached 38 and 30\% and insulin use reached 6 and 16\% in 1996-1997.

CONCLUSIONS: Diabetes was common in this elderly cohort, and > 80\% of treated patients with diabetes at baseline were not achieving fasting glucose goals of < or = 6.7 mmol/l (120 mg/dl). Many untreated at baseline remained untreated after 7 years of follow-up.

}, keywords = {Aged, Blood Glucose, Cardiovascular Diseases, Cohort Studies, Diabetes Mellitus, Drug Therapy, Female, Follow-Up Studies, Humans, Hypoglycemic Agents, Insulin, Male, Prospective Studies, Risk Factors, Time Factors, United States}, issn = {0149-5992}, doi = {10.2337/diacare.22.5.736}, author = {Smith, N L and Heckbert, S R and Bittner, V A and Savage, P J and Barzilay, J I and Dobs, A S and Psaty, B M} } @article {600, title = {Cardiovascular disease in older adults with glucose disorders: comparison of American Diabetes Association criteria for diabetes mellitus with WHO criteria.}, journal = {Lancet}, volume = {354}, year = {1999}, month = {1999 Aug 21}, pages = {622-5}, abstract = {

BACKGROUND: The new fasting American Diabetes Association (ADA) criteria for the diagnosis of diabetes mellitus rely mainly on fasting blood glucose concentrations and use a lower cut-off value for diagnosis than the WHO criteria. We aimed to assess the sensitivity of these criteria for the detection of cardiovascular disease, the main complication of diabetes mellitus in the elderly.

METHODS: We did a cross-sectional and prospective analysis of 4515 participants of the Cardiovascular Health Study, an 8 year longitudinal study designed to identify factors related to the onset and course of cardiovascular disease in adults aged at least 65 years. We calculated the prevalence and incidence of cardiovascular disease for the ADA and WHO criteria.

FINDINGS: There was a higher prevalence of cardiovascular disease among individuals with impaired glucose or newly diagnosed diabetes by both criteria than among those with normal glucose concentrations. However, because fewer individuals had abnormal glucose states by the fasting ADA criteria (22.3\%) than by the WHO criteria (46.8\%), the number of cases of cardiovascular disease attributable to abnormal glucose states was a third of that attributable by the WHO criteria (53 vs 159 cases per 10,000). For the two sets of criteria, the relative risk for incident cardiovascular disease (mean follow-up 5.9 years) was higher in individuals with impaired glucose and newly diagnosed diabetes than in those with normal glucose. Individuals classified as normal by the fasting ADA criteria had a higher absolute number of incident events (455 of 581 events) than those classified as normal by the WHO criteria (269 of 581 events). Fasting ADA criteria were therefore less sensitive than the WHO criteria for predicting cardiovascular disease among individuals with abnormal glucose (sensitivity, 28\% vs 54\%).

INTERPRETATION: The new fasting ADA criteria seem to be less predictive than the WHO criteria for the burden of cardiovascular disease associated with abnormal glucose in the elderly.

}, keywords = {Age Factors, Aged, Blood Glucose, Cardiovascular Diseases, Cross-Sectional Studies, Diabetes Complications, Diabetes Mellitus, Fasting, Female, Glucose Intolerance, Humans, Longitudinal Studies, Male, Prospective Studies, Risk Factors, Sensitivity and Specificity, Societies, Medical, United States, World Health Organization}, issn = {0140-6736}, doi = {10.1016/s0140-6736(98)12030-5}, author = {Barzilay, J I and Spiekerman, C F and Wahl, P W and Kuller, L H and Cushman, M and Furberg, C D and Dobs, A and Polak, J F and Savage, P J} } @article {594, title = {Increased blood glucose and insulin, body size, and incident colorectal cancer.}, journal = {J Natl Cancer Inst}, volume = {91}, year = {1999}, month = {1999 Jul 07}, pages = {1147-54}, abstract = {

BACKGROUND: Abdominal obesity--an elevated level of visceral adipose tissue--has been linked to colorectal cancer. Furthermore, elevated levels of visceral adipose tissue have been associated with hyperinsulinemia, and insulin is a growth factor in the colon. We assessed whether waist circumference, a surrogate measure of visceral adipose tissue, and metabolic parameters associated with visceral adipose tissue were related to colorectal cancer.

METHODS: In the Cardiovascular Health Study cohort, we examined the relationship of baseline measurements of body size, glucose, insulin, and lipoproteins to incident colorectal cancer. All P values are two-sided.

RESULTS: Among 5849 participants, 102 incident cases of colorectal cancer were identified. Individuals in the highest quartile of fasting glucose had a nearly twofold increased risk of colorectal cancer (relative risk [RR] = 1.8; 95\% confidence interval [CI] = 1.0-3.1), and the linear trend RR (LT RR = 1.2; 95\% CI = 1.0-1.5) for fasting glucose level was statistically significant (P =. 02). Glucose and insulin levels 2 hours after oral glucose challenge also exhibited statistically significant associations with colorectal cancer (2-hour glucose levels: RR = 2.4 [95\% CI = 1.2-4. 7]/LT RR = 1.3 [95\% CI = 1.0-1.6; P =.02]; 2-hour insulin levels: RR = 2.0 [95\% CI = 1.0-3.8]/LT RR = 1.2 [95\% CI = 1.0-1.5; P =.04]). Analysis of fasting insulin levels suggested a threshold effect, with values above the median associated with colorectal cancer (RR = 1.6; 95\% CI = 1.1-2.4; P =.02). Higher levels of waist circumference were also statistically significantly associated with colorectal cancer (RR = 1.9; 95\% CI = 1.1-3.3; P =.02).

CONCLUSIONS: These data provide, to our knowledge, the first direct evidence of an association between elevated visceral adipose tissue level, its associated metabolic effects, and colorectal cancer.

}, keywords = {Adipose Tissue, Aged, Blood Glucose, Body Constitution, Cholesterol, HDL, Colorectal Neoplasms, Female, Humans, Incidence, Insulin, Male, Prospective Studies, Risk, Triglycerides, Viscera}, issn = {0027-8874}, doi = {10.1093/jnci/91.13.1147}, author = {Schoen, R E and Tangen, C M and Kuller, L H and Burke, G L and Cushman, M and Tracy, R P and Dobs, A and Savage, P J} } @article {606, title = {Evidence of islet cell autoimmunity in elderly patients with type 2 diabetes.}, journal = {Diabetes}, volume = {49}, year = {2000}, month = {2000 Jan}, pages = {32-8}, abstract = {

In light of an occurring growth of elderly people affected by type 2 diabetes and recent observations indicating that type 2 diabetes may be a disease of the innate immune system, we evaluated whether signs of islet cell autoimmunity are associated with an abnormal glucose control, the presence of insulin requirement, or an activation of the acute-phase response in older individuals with type 2 diabetes. GAD65 and IA-2 autoantibodies along with the acute-phase response markers fibrinogen and C-reactive protein were tested in 196 serum samples from patients with type 2 diabetes and in 94 nondiabetic control subjects over the age of 65 years from the Pittsburgh cohort of the Cardiovascular Health Study. Of the diabetic patients, 12\% (24 of 196) had autoantibodies against GAD65 and/or IA-2, a prevalence significantly higher than that found in nondiabetic individuals (1 of 94, 1.1\%; P = 0.001). Type 2 diabetic patients who were positive for GAD65 and/or IA-2 autoantibodies (Ab+), as compared with those negative for these autoantibodies (Ab-), had an abnormal oral glucose tolerance test (OGTT) (P = 0.03) before and a higher frequency of oral hypoglycemic treatment (P = 0.003) at the time of autoantibody testing. No differences were seen in the percentage of insulin requirement in the two groups. Moreover, a statistically significant increase in fibrinogen (P = 0.005) and C-reactive protein levels (P = 0.025) was found in type 2 diabetic patients with high levels of GAD65 and/or IA-2 autoantibodies as compared with Ab-patients and control subjects. In conclusion, in type 2 diabetic subjects > or =65 years old, the presence of islet cell autoimmunity is associated with an impairment of the acute-phase insulin secretion, as revealed by an OGTT. A pronounced activation of the acute-phase response, found to be associated with islet cell autoimmunity, may in part explain this defect in insulin secretion. These findings not only have direct implications for adequate classification and treatment of diabetes in the elderly, but also for understanding the autoimmune/inflammatory mechanisms involved in the pathogenesis of hyperglycemia.

}, keywords = {Aged, Aged, 80 and over, Aging, Autoantibodies, Autoantigens, Autoimmunity, Blood Glucose, C-Reactive Protein, Diabetes Mellitus, Type 2, Female, Fibrinogen, Glucose Tolerance Test, Glutamate Decarboxylase, Humans, Islets of Langerhans, Male, Membrane Proteins, Protein Tyrosine Phosphatases, Receptor-Like Protein Tyrosine Phosphatases, Class 8}, issn = {0012-1797}, doi = {10.2337/diabetes.49.1.32}, author = {Pietropaolo, M and Barinas-Mitchell, E and Pietropaolo, S L and Kuller, L H and Trucco, M} } @article {661, title = {The relation of markers of inflammation to the development of glucose disorders in the elderly: the Cardiovascular Health Study.}, journal = {Diabetes}, volume = {50}, year = {2001}, month = {2001 Oct}, pages = {2384-9}, abstract = {

Several studies suggest that inflammation plays a role in the pathogenesis of some glucose disorders in adults. We tested this hypothesis in a longitudinal cohort study of older individuals who had normal fasting glucose (FG) values at baseline. We compared the baseline levels of six inflammatory markers in participants who had developed glucose disorders at follow-up with those of participants whose FG remained normal at follow-up. Participants were members of the Cardiovascular Health Study, a prospective study of risk factors for cardiovascular disease in adults > or =65 years. All 5,888 participants had baseline testing, including FG and markers of inflammation: white blood cell and platelet counts and albumin, fibrinogen, C-reactive protein (CRP), and factor VIIIc levels. At 3-4 years of follow-up, 4,481 (84.5\%) of those who were alive had FG levels retested. Participants who developed diabetes (n = 45) had higher median levels of CRP at baseline than those who remained normoglycemic. On multivariate analysis, those with elevated CRP levels (75th percentile [2.86 mg/l] vs. 25th percentile [0.82 mg/l]) were 2.03 times (95\% confidence intervals, 1.44-2.86) more likely to have diabetes on follow-up. Adjustment for confounders and other inflammatory markers did not appreciably change this finding. There was no relationship between the development of diabetes and other markers of inflammation. Inflammation, as measured by CRP levels, is associated with the development of diabetes in the elderly. Understanding the role of inflammation in the pathogenesis of glucose disorders in this age-group may lead to better classification and treatment of glucose disorders among them.

}, keywords = {Aged, Biomarkers, Blood Glucose, C-Reactive Protein, Cardiovascular Diseases, Cohort Studies, Diabetes Mellitus, Female, Humans, Hypoglycemia, Inflammation, Longitudinal Studies, Male, Reference Values, Risk Factors}, issn = {0012-1797}, doi = {10.2337/diabetes.50.10.2384}, author = {Barzilay, J I and Abraham, L and Heckbert, S R and Cushman, M and Kuller, L H and Resnick, H E and Tracy, R P} } @article {675, title = {Fasting and 2-hour postchallenge serum glucose measures and risk of incident cardiovascular events in the elderly: the Cardiovascular Health Study.}, journal = {Arch Intern Med}, volume = {162}, year = {2002}, month = {2002 Jan 28}, pages = {209-16}, abstract = {

BACKGROUND: The contributions of fasting and 2-hour postchallenge glucose level to cardiovascular events remain ill-defined, especially for nondiabetic adults. This study examined the relative predictive power of fasting and 2-hour glucose level on cardiovascular event risk.

METHODS: A total of 4014 community-dwelling adults 65 years or older who participated in the baseline visit of the Cardiovascular Health Study and who were without treated diabetes or previous myocardial infarction or stroke were eligible for analyses. Participants with treated diabetes at baseline were excluded. Incident myocardial infarction or stroke, or coronary death, was the outcome of interest. Age-, sex-, and race-adjusted proportional hazards regression models described individual and joint associations between baseline measures of fasting and 2-hour postchallenge glucose level and event risk.

RESULTS: There were 764 incident cardiovascular events during 8.5 years of follow-up. Fasting glucose level of 115 mg/dL (6.4 mmol/L) or more was associated with an increased cardiovascular risk (hazard ratio [HR], 1.66 [95\% confidence interval (CI), 1.39-1.98]) in adjusted analyses compared with fasting glucose level less than 115 mg/dL. Two-hour glucose level was associated with a linear risk (HR, 1.02 [95\% CI, 1.00-1.04] per 10 mg/dL [0.6 mmol/L]) that included an additional increase in risk for 2-hour glucose level of 154 mg/dL (8.5 mmol/L) or more (HR, 1.29 [95\% CI, 1.04-1.59]) in adjusted analyses. In joint fasting and 2-hour glucose models, only 2-hour glucose level remained predictive of event risk.

CONCLUSIONS: Two-hour glucose level was better than fasting glucose level alone at identifying older adults at increased risk of major incident cardiovascular events.

}, keywords = {Aged, Blood Glucose, Cardiovascular Diseases, Fasting, Female, Glucose Tolerance Test, Humans, Male, Myocardial Infarction, Predictive Value of Tests, Proportional Hazards Models, Risk Assessment, Stroke}, issn = {0003-9926}, doi = {10.1001/archinte.162.2.209}, author = {Smith, Nicholas L and Barzilay, Joshua I and Shaffer, Douglas and Savage, Peter J and Heckbert, Susan R and Kuller, Lewis H and Kronmal, Richard A and Resnick, Helaine E and Psaty, Bruce M} } @article {685, title = {Glucose, blood pressure, and lipid control in older people with and without diabetes mellitus: the Cardiovascular Health Study.}, journal = {J Am Geriatr Soc}, volume = {50}, year = {2002}, month = {2002 Mar}, pages = {416-23}, abstract = {

OBJECTIVES: To determine the prevalence of cardiovascular risk-factor treatment and control in older adults with normal fasting glucose, impaired fasting glucose, and diabetes mellitus and whether those with diabetes mellitus had better risk factor control than older adults with normal fasting glucose.

DESIGN: Secondary analysis of data from population-based, prospective cohort study of risk factors for cardio-vascular and cerebrovascular disease in older people (Cardiovascular Health Study).

SETTING: Community-based.

PARTICIPANTS: Community-dwelling adults aged 65 and older.

MEASUREMENTS: Fasting plasma glucose, serum cholesterol and its subfractions, systolic and diastolic blood pressures, and body mass index.

RESULTS: There were 579 (18\%) cohort members with diabetes mellitus (77\% receiving antidiabetic medication, 23\% with fasting glucose > or =126 mg/dL and no treatment), 213 (6\%) with impaired fasting glucose, and 2,582 (77\%)with normal fasting glucose. Of diabetic participants, 12\% had recommended fasting glucose levels of less than 110 mg/dL. Of participants with hypertension, a larger proportion of diabetic participants than nondiabetic participants (89\% versus 75\%, P < .01) was treated with antihypertensive agents, but a smaller proportion of diabetic participants had recommended blood pressure levels of 129/85 mmHg or lower than nondiabetic participants had recommended blood pressure levels of 139/89 mmHg or lower (27\% vs 48\%, P < .01). Diabetic dyslipidemic participants were treated less often with lipid-lowering therapy (26\% versus 55\%, P < .01) and achieved recommended low-density lipoprotein goals less often (8\%versus 54\%, P < .01) than nondiabetic dyslipidemic participants.

CONCLUSIONS: Overall, treatment and control of cardiovascular risk factors were suboptimal in this older population, especially among those with diabetes mellitus. Optimizing risk-factor control can improve health outcomes in older adults with and without diabetes mellitus.

}, keywords = {Age Factors, Aged, Blood Glucose, Blood Pressure, Cardiovascular Diseases, Cholesterol, LDL, Cross-Sectional Studies, Diabetes Complications, Diabetes Mellitus, Female, Humans, Male, Prevalence, Prospective Studies, Risk Factors}, issn = {0002-8614}, doi = {10.1046/j.1532-5415.2002.50103.x}, author = {Smith, Nicholas L and Savage, Peter J and Heckbert, Susan R and Barzilay, Joshua I and Bittner, Vera A and Kuller, Lewis H and Psaty, Bruce M} } @article {791, title = {The association of fasting glucose levels with congestive heart failure in diabetic adults > or =65 years: the Cardiovascular Health Study.}, journal = {J Am Coll Cardiol}, volume = {43}, year = {2004}, month = {2004 Jun 16}, pages = {2236-41}, abstract = {

OBJECTIVES: The purpose of this study was to determine if fasting glucose levels are an independent risk factor for congestive heart failure (CHF) in elderly individuals with diabetes mellitus (DM) with or without coronary heart disease (CHD).

BACKGROUND: Diabetes mellitus and CHF frequently coexist in the elderly. It is not clear whether fasting glucose levels in the setting of DM are a risk factor for incident CHF in the elderly.

METHODS: A cohort of 829 diabetic participants, age > or =65 years, without prevalent CHF, was followed for five to eight years. The Cox proportional hazards modeling was used to determine the risk of CHF by fasting glucose levels. The cohort was categorized by the presence or absence of prevalent CHD.

RESULTS: For a 1 standard deviation (60.6 mg/dl) increase in fasting glucose, the adjusted hazard ratios for incident CHF among participants without CHD at baseline, with or without an incident myocardial infarction (MI) or CHD event on follow-up, was 1.41 (95\% confidence interval 1.24 to 1.61; p < 0.0001). Among those with prevalent CHD at baseline, with or without another incident MI or CHD event on follow-up, the corresponding adjusted hazard ratio was 1.27 (95\% confidence interval 1.02 to 1.58; p < 0.05).

CONCLUSIONS: Among older adults with DM, elevated fasting glucose levels are a risk factor for incident CHF. The relationship of fasting glucose to CHF differs somewhat by the presence or absence of prevalent CHD.

}, keywords = {Aged, Biomarkers, Blood Glucose, Blood Pressure, Coronary Disease, Diabetes Mellitus, Diabetic Angiopathies, Fasting, Female, Follow-Up Studies, Heart Failure, Humans, Incidence, Male, Proportional Hazards Models, Risk Factors, Statistics as Topic, Stroke Volume, Ventricular Function, Left}, issn = {0735-1097}, doi = {10.1016/j.jacc.2003.10.074}, author = {Barzilay, Joshua I and Kronmal, Richard A and Gottdiener, John S and Smith, Nicholas L and Burke, Gregory L and Tracy, Russell and Savage, Peter J and Carlson, Michelle} } @article {834, title = {Association of sleep time with diabetes mellitus and impaired glucose tolerance.}, journal = {Arch Intern Med}, volume = {165}, year = {2005}, month = {2005 Apr 25}, pages = {863-7}, abstract = {

BACKGROUND: Experimental sleep restriction causes impaired glucose tolerance (IGT); however, little is known about the metabolic effects of habitual sleep restriction. We assessed the cross-sectional relation of usual sleep time to diabetes mellitus (DM) and IGT among participants in the Sleep Heart Health Study, a community-based prospective study of the cardiovascular consequences of sleep-disordered breathing.

METHODS: Participants were 722 men and 764 women, aged 53 to 93 years. Usual sleep time was obtained by standardized questionnaire. Diabetes mellitus was defined as a serum glucose level of 126 mg/dL or more (> or =7.0 mmol/L) fasting or 200 mg/dL or more (> or =11.1 mmol/L) 2 hours following standard oral glucose challenge or medication use for DM. Impaired glucose tolerance was defined as a 2-hour postchallenge glucose level of 140 mg/dL or more (> or =7.8 mmol/L) and less than 200 mg/dL. The relation of sleep time to DM and IGT was examined using categorical logistic regression with adjustment for age, sex, race, body habitus, and apnea-hypopnea index.

RESULTS: The median sleep time was 7 hours per night, with 27.1\% of subjects sleeping 6 hours or less per night. Compared with those sleeping 7 to 8 hours per night, subjects sleeping 5 hours or less and 6 hours per night had adjusted odds ratios for DM of 2.51 (95\% confidence interval, 1.57-4.02) and 1.66 (95\% confidence interval, 1.15-2.39), respectively. Adjusted odds ratios for IGT were 1.33 (95\% confidence interval, 0.83-2.15) and 1.58 (95\% confidence interval, 1.15-2.18), respectively. Subjects sleeping 9 hours or more per night also had increased odds ratios for DM and IGT. These associations persisted when subjects with insomnia symptoms were excluded.

CONCLUSIONS: A sleep duration of 6 hours or less or 9 hours or more is associated with increased prevalence of DM and IGT. Because this effect was present in subjects without insomnia, voluntary sleep restriction may contribute to the large public health burden of DM.

}, keywords = {Age Factors, Aged, Aged, 80 and over, Blood Glucose, Diabetes Mellitus, Disease Progression, Female, Glucose Intolerance, Humans, Male, Middle Aged, Odds Ratio, Prevalence, Prospective Studies, Sleep, Surveys and Questionnaires, Time Factors, United States}, issn = {0003-9926}, doi = {10.1001/archinte.165.8.863}, author = {Gottlieb, Daniel J and Punjabi, Naresh M and Newman, Ann B and Resnick, Helaine E and Redline, Susan and Baldwin, Carol M and Nieto, F Javier} } @article {918, title = {Metabolic syndrome and cardiovascular disease in older people: The cardiovascular health study.}, journal = {J Am Geriatr Soc}, volume = {54}, year = {2006}, month = {2006 Sep}, pages = {1317-24}, abstract = {

OBJECTIVES: To assess the prospective association between metabolic syndrome (MetS) and cardiovascular disease (CVD) in older people and to evaluate the effect of lowering the threshold for impaired fasting glucose (IFG) on the prevalence of IFG and MetS and the risk of CVD.

DESIGN: Prospective cohort study.

SETTING: Four field centers in U.S. communities.

PARTICIPANTS: Three thousand five hundred eighty-five subjects in the Cardiovascular Health Study free of diabetes mellitus and CVD at baseline (mean age 72, 62\% female, 14\% black).

MEASUREMENTS: Baseline measures of MetS components and adjudicated incident CVD events. MetS (2001) was defined first using the original criteria from the Third Adult Treatment Panel Report of the National Cholesterol Education Program (> or =3 of the following: large waist circumference (women >88 cm, men >102 cm), elevated triglycerides (> or =1.70 mmol/L), low high-density lipoprotein cholesterol (men <1.04 mmol/L, women <1.30 mmol/L), elevated fasting glucose (6.1-6.9 mmol/L), and high blood pressure (> or =130/85 mmHg or self-reported use of medications for hypertension). Subjects were also classified according to the revised definition of the MetS (2005) that applies the lower threshold for fasting glucose (5.6-6.9 mmol/L).

RESULTS: During follow-up (median 11 years), 818 coronary heart disease (CHD), 401 stroke, and 554 congestive heart failure (CHF) events occurred. Age- and race-adjusted hazard ratios (HRs) for CHD, stroke, and CHF were 1.30 (95\% confidence interval (CI) = 1.07-1.57), 0.94 (95\% CI = 0.73-1.21), and 1.40 (95\% CI = 1.12-1.76) for women and 1.35 (95\% CI = 1.10-1.66), 1.51 (95\% CI = 1.08-2.12), and 1.47 (95\% CI = 1.14-1.90) for men, respectively. Overall, women and men with MetS (2005) were 20\% to 30\% more likely to experience any CVD event than subjects without MetS (2005). Using the lower cut-point for IFG resulted in a near tripling in IFG prevalence (16\% to 46\%) and an additional 9\% classified with MetS (2005) but HRs similar to those estimated from the original MetS (2001) criteria. High blood pressure was the component most strongly associated with incident CHD.

CONCLUSION: Results from this study of an elderly, population-based cohort provide support for earlier investigations in primarily middle-aged populations that link the presence of MetS with the development of CVD and further underscore the importance of recognizing and treating its individual components, particularly high blood pressure.

}, keywords = {African Americans, Age Factors, Aged, Aged, 80 and over, Blood Glucose, Cardiovascular Diseases, Cohort Studies, European Continental Ancestry Group, Fasting, Female, Humans, Incidence, Male, Metabolic Syndrome, Risk Factors, Sex Factors}, issn = {0002-8614}, doi = {10.1111/j.1532-5415.2006.00862.x}, author = {McNeill, Ann Marie and Katz, Ronit and Girman, Cynthia J and Rosamond, Wayne D and Wagenknecht, Lynne E and Barzilay, Joshua I and Tracy, Russell P and Savage, Peter J and Jackson, Sharon A} } @article {914, title = {New-onset diabetes and risk of all-cause and cardiovascular mortality: the Cardiovascular Health Study.}, journal = {Diabetes Care}, volume = {29}, year = {2006}, month = {2006 Sep}, pages = {2012-7}, abstract = {

OBJECTIVE: Cardiovascular risk associated with new-onset diabetes is not well characterized. We hypothesized that risk of all-cause and cardiovascular mortality would be similar among participants with and without new-onset diabetes in the first years of follow-up and rise over time for new-onset diabetes.

RESEARCH DESIGN AND METHODS: The Cardiovascular Health Study (CHS) is a longitudinal study of cardiovascular risk factors in adults aged > or =65 years. We used CHS participants to define a cohort (n = 282) with new-onset diabetes during 11 years of follow-up. New-onset diabetes was defined by initiation of antidiabetes medication or by fasting plasma glucose >125 mg/dl among CHS participants without diabetes at study entry. Three CHS participants without diabetes were matched for age, sex, and race to each participant with new-onset diabetes at the time of diabetes identification (n = 837). Survival analysis provided adjusted hazard ratios (HRs) for all-cause and cardiovascular mortality.

RESULTS: During a median of 5.9 years of follow-up, there were 352 deaths, of which 41\% were cardiovascular. In adjusted analyses, new-onset diabetes was associated with an HR of 1.9 (95\% CI 1.4-2.5) for all-cause and 2.2 (1.4-3.4) for cardiovascular mortality compared with no diabetes. Mortality risks were elevated within 2 years of onset, especially cardiovascular risk (4.3 [95\% CI 1.7-10.8]), and did not increase over time.

CONCLUSIONS: Our findings indicate that there may be a mortality differential soon after diabetes onset in older adults and suggest that long-term macrovascular damage from atherosclerosis may not be primarily responsible for increased risk.

}, keywords = {Aged, Aged, 80 and over, Atherosclerosis, Blood Glucose, Cardiovascular Diseases, Diabetes Complications, Diabetes Mellitus, Follow-Up Studies, Humans, Kaplan-Meier Estimate, Risk Factors, Survival Rate, Time Factors}, issn = {0149-5992}, doi = {10.2337/dc06-0574}, author = {Smith, Nicholas L and Barzilay, Joshua I and Kronmal, Richard and Lumley, Thomas and Enquobahrie, Daniel and Psaty, Bruce M} } @article {898, title = {The prevalence of the 65-kilodalton isoform of glutamic acid decarboxylase autoantibodies by glucose tolerance status in elderly patients from the cardiovascular health study.}, journal = {J Clin Endocrinol Metab}, volume = {91}, year = {2006}, month = {2006 Aug}, pages = {2871-7}, abstract = {

CONTEXT: Autoantibodies (AA) to glutamic acid decarboxylase (GAD65), a determinant of risk for autoimmune diabetes, have been found in up to 10\% of patients with type 2 diabetes. In older adults, this marker may also serve as a determinant of risk for autoimmune diabetes and enhance diabetes classification.

OBJECTIVE: The objective of this study was to evaluate the relationship between GAD65AA and glucose tolerance status, current diabetes treatment, and clinical measures in older adults.

DESIGN: GAD65AA were measured at baseline in 3318 participants from the Cardiovascular Health Study, a cohort study of 5888 individuals 65 or older.

SETTING: The population-based cohort was recruited from four U.S. sites.

PATIENTS: Patients included all Cardiovascular Health Study participants with known diabetes, newly diagnosed diabetes, impaired fasting glucose, impaired glucose tolerance, and a sample of normal glucose-tolerant participants.

MAIN OUTCOME MEASURES: GAD65AA, body mass index, fasting glucose and insulin levels, blood pressure, lipid levels, and diabetes treatment at baseline were measured.

RESULTS: The prevalence of GAD65AA increased with decreasing glucose tolerance in both Blacks (n = 560) and Whites (n = 2730), being more pronounced in known diabetic individuals. GAD65AA were found in 2.3, 5.8, 7.8, and 8.3\% of diabetic participants, reporting use of no diabetes medication, oral hypoglycemic agents, insulin only, and both oral hypoglycemic agents and insulin, respectively (P = 0.02, linear trend). Among diabetic participants, GAD65AA positivity was associated with diabetes treatment, higher fasting glucose, and lower body mass index.

CONCLUSIONS: Even among older individuals with diabetes, GAD65AA may be a useful marker in identifying a subgroup of autoimmune diabetes, serve as a marker of insulin requirement, and remain stable over years.

}, keywords = {Aged, Aging, Autoantibodies, Blood Glucose, Blood Pressure, Cardiovascular Diseases, Cohort Studies, Diabetes Mellitus, Type 2, Fasting, Female, Glucose Intolerance, Glutamate Decarboxylase, Humans, Insulin, Isoenzymes, Lipids, Logistic Models, Male, Nutrition Surveys}, issn = {0021-972X}, doi = {10.1210/jc.2005-2667}, author = {Barinas-Mitchell, Emma and Kuller, Lewis H and Pietropaolo, Susan and Zhang, Ying-Jian and Henderson, Tyona and Pietropaolo, Massimo} } @article {974, title = {Alcohol consumption, interleukin-6 and apolipoprotein E genotypes, and concentrations of interleukin-6 and serum amyloid P in older adults.}, journal = {Am J Clin Nutr}, volume = {86}, year = {2007}, month = {2007 Aug}, pages = {444-50}, abstract = {

BACKGROUND: Whether alcohol intake is associated with concentrations of interleukin-6 (IL-6) and serum amyloid P (SAP) is uncertain.

OBJECTIVE: We determined how alcohol intake and apolipoprotein E (apo E) and IL-6 promoter (IL-6 -174G-->C) polymorphisms interact for concentrations of IL-6 and SAP.

DESIGN: In the Cardiovascular Health Study, 2454 older adults reported their intake of beer, wine, and liquor and underwent measurements of circulating IL-6 and SAP.

RESULTS: Alcohol intake was not associated with IL-6 concentrations among apo E4-negative or IL-6C-positive participants but was positively associated among both apo E4-positive and IL-6C-negative participants (P for trend = 0.02 for both). The corresponding interactions on SAP were not significant for alcohol overall but were similar for liquor intake.

CONCLUSIONS: Among older adults free of clinical cardiovascular disease, specific IL-6 promoter and apo E alleles appeared to confer positive associations of alcohol consumption with IL-6 concentrations. Genetic heterogeneity should be considered in understanding the cardiovascular effects of alcohol intake.

}, keywords = {Aged, Alcohol Drinking, Apolipoprotein E4, Apolipoproteins E, Blood Glucose, C-Reactive Protein, Cohort Studies, Female, Genotype, Humans, Interleukin-6, Male, Promoter Regions, Genetic, Serum Amyloid P-Component}, issn = {0002-9165}, doi = {10.1093/ajcn/86.2.444}, author = {Mukamal, Kenneth J and Jenny, Nancy S and Tracy, Russell P and Siscovick, David S} } @article {952, title = {The relationship of heart rate and heart rate variability to non-diabetic fasting glucose levels and the metabolic syndrome: the Cardiovascular Health Study.}, journal = {Diabet Med}, volume = {24}, year = {2007}, month = {2007 Aug}, pages = {855-63}, abstract = {

BACKGROUND: Increased heart rate (HR) and diminished heart rate variability (HRV) are signs of early cardiovascular autonomic neuropathy. We tested the hypotheses that increased HR and diminished HRV are present in people: (i) with increased fasting glucose (FG) levels not in the range of diabetes mellitus (DM), and (ii) in people with the metabolic syndrome (MetS) independent of elevated FG levels.

METHODS: HR and HRV were determined in 1267 adults (mean age 72 years) who had Holter monitoring and FG measures: 536 had normal FG levels (NORM, FG 4.5-5.5 mmol/l), 363 had mildly impaired FG (IFG-1, FG 5.6-6.0 mmol/l), 182 had significantly impaired FG (IFG-2, FG 6.1-6.9 mmol/l) and 178 had DM (FG > 6.9 mmol/l or use of glucose-lowering agents/insulin). HR and HRV in NORM/IFG-1 was further compared by the number of components of the MetS and compared by the presence or absence of MetS in IFG-2/DM.

RESULTS: HRV indices were more impaired in IFG-2 and DM than in NORM or IFG-1. There were few differences in HRV indices between NORM and IFG-1 or between IFG-2 and DM. In NORM/IFG-1 participants, having > or = 2 components of the MetS was associated with a greater decrease in HRV compared with having no or one components. In IFG-2/DM participants, MetS was associated with decreased HRV compared with no MetS.

CONCLUSIONS: Increased HR and diminished HRV occur in the non-diabetic FG range. Diminished HRV is associated with the MetS, independent of FG levels. Both these results suggest that factors associated with increasing non-diabetic FG levels and the MetS play a role in the onset of cardiac autonomic impairment.

}, keywords = {Aged, Aged, 80 and over, Arrhythmias, Cardiac, Blood Glucose, Fasting, Female, Glucose Intolerance, Heart Rate, Humans, Male, Metabolic Syndrome, Risk Factors}, issn = {0742-3071}, doi = {10.1111/j.1464-5491.2007.02163.x}, author = {Stein, P K and Barzilay, J I and Domitrovich, P P and Chaves, P M and Gottdiener, J S and Heckbert, S R and Kronmal, R A} } @article {985, title = {USF1 gene variants, cardiovascular risk, and mortality in European Americans: analysis of two US cohort studies.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {27}, year = {2007}, month = {2007 Dec}, pages = {2736-42}, abstract = {

OBJECTIVE: A common haplotype of the upstream transcription factor 1 gene (USF1) has been associated with decreased susceptibility to familial combined hyperlipidemia (FCHL) and, paradoxically, with increased risk of cardiovascular disease (CVD) and all-cause mortality.

METHODS AND RESULTS: We assessed associations between USF1 tagSNPs, CVD risk factors, and aging-related phenotypes using data from 2 large population-based cohorts, Coronary Artery Risk Development in Young Adults (CARDIA) and the Cardiovascular Health Study (CHS), comprising younger and older adults, respectively. In CARDIA, each additional copy of the FCHL low-risk allele was associated with 2.4 mg/dL lower levels of LDL cholesterol (P=0.01) and decreased risk of subclinical atherosclerosis as assessed by coronary artery calcium (odds ratio 0.79; 95\%CI 0.63 to 0.98). Whereas there was little association between USF1 genotype and metabolic or CVD traits in older adults from CHS, the USF1 low-risk dyslipidemia allele was associated with higher plasma C-reactive protein and interleukin (IL)-6 levels and with increased risk of mortality, particularly attributable to noncardiovascular causes.

CONCLUSIONS: There appears to be a complex and possibly age-dependent relationship between USF1 genotype, atherosclerosis phenotypes, and CVD risk. USF1 may influence mortality through pathways distinct from atherosclerosis. Alternatively, linkage disequilibrium with neighboring polymorphisms in other genes such as F11R may be responsible for the observed USF1 genotype-phenotype associations in older adults.

}, keywords = {Adult, Age Factors, Aged, Aged, 80 and over, Aging, Blood Glucose, C-Reactive Protein, Calcium, Cardiovascular Diseases, Carotid Artery, Common, Cohort Studies, Coronary Artery Disease, Coronary Vessels, European Continental Ancestry Group, Female, Follow-Up Studies, Genetic Predisposition to Disease, Humans, Hyperlipidemia, Familial Combined, Insulin, Interleukin-6, Linkage Disequilibrium, Lipids, Male, Odds Ratio, Phenotype, Polymorphism, Single Nucleotide, Prospective Studies, Risk Assessment, Risk Factors, Time Factors, United States, Upstream Stimulatory Factors}, issn = {1524-4636}, doi = {10.1161/ATVBAHA.107.154559}, author = {Reiner, Alexander P and Carlson, Christopher S and Jenny, Nancy S and Durda, J Peter and Siscovick, David S and Nickerson, Deborah A and Tracy, Russell P} } @article {1043, title = {Fasting glycemia in sleep disordered breathing: lowering the threshold on oxyhemoglobin desaturation.}, journal = {Sleep}, volume = {31}, year = {2008}, month = {2008 Jul}, pages = {1018-24}, abstract = {

STUDY OBJECTIVES: Commonly used definitions of sleep-disordered breathing (SDB) are based on identifying discrete events of breathing abnormalities during sleep that are accompanied by an oxyhemoglobin desaturation (delta SaO2) of at least 4\%. However, it is not known whether disordered breathing events with oxyhemoglobin desaturation less than 4\% are associated with clinical sequelae such as abnormalities in fasting glycemia.

DESIGN: Cross-sectional study.

SUBJECTS AND SETTING: Participants from the Sleep Heart Health Study (SHHS) with a fasting glucose measurement made within a year of the baseline polysomnogram.

MEASUREMENTS AND RESULTS: SDB severity was defined using the apnea-hypopnea index (AHI) and the hypopnea index (HI) by counting events with different levels of oxyhemoglobin desaturation (0.0\%-1.9\%, 2.0\%-2.9\%, 3.0\%-3.9\%, > or = 4.0\%). Fasting glucose levels were used to classify individuals into normal (<100 mg/dL), impaired (100-125 mg/dL), and diabetic (> or = 126 mg/dL) groups. Ordinal logistic regression was used to determine the adjusted relative odds of an abnormal glucose value across quartiles of the hypopnea index, independent of factors such as age, body mass index, waist circumference, and usual sleep duration. The prevalence of impaired and diabetic fasting glucose in the analytical sample was 32.9\% and 5.8\%, respectively. The covariate-adjusted relative odds of impaired or diabetic fasting glucose in the highest versus the lowest AHI quartile was 1.35 (95\% CI: 1.04-1.76) for events with a delta SaO2 > or = 4.0\%, 1.72 (95\% CI: 1.20-2.48) for events with a delta SaO2 between 3.0\%-3.9\%, 1.41 (95\% CI: 1.07-1.86) for events with a delta SaO2 between 2.0\%-2.9\%, and 1.07 (95\% CI: 0.84-1.37) for events with a delta SaO2 between 0.0\%-1.9\%. The corresponding odds ratios for the HI were 1.47 (95\% CI: 1.13-1.92), 2.25 (95\% CI: 1.59-3.19), 1.44 (95\% CI: 1.09-1.90), and 1.15 (95\% CI: 0.90-1.47), respectively.

CONCLUSIONS: The results of this study indicate that SDB events accompanied by oxyhemoglobin desaturation of between 2\% to 4\% are associated with fasting hyperglycemia. These findings suggest that milder degrees of SDB may predispose to adverse metabolic outcomes.

}, keywords = {Aged, Blood Glucose, Body Mass Index, Cohort Studies, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Fasting, Female, Humans, Male, Middle Aged, Odds Ratio, Oxygen, Oxyhemoglobins, Polysomnography, Reference Values, Sleep Apnea, Obstructive}, issn = {0161-8105}, author = {Stamatakis, Katherine and Sanders, Mark H and Caffo, Brian and Resnick, Helaine E and Gottlieb, Dan J and Mehra, Reena and Punjabi, Naresh M} } @article {1033, title = {Metabolic syndrome and mortality in older adults: the Cardiovascular Health Study.}, journal = {Arch Intern Med}, volume = {168}, year = {2008}, month = {2008 May 12}, pages = {969-78}, abstract = {

BACKGROUND: The utility of metabolic syndrome (MetS) for predicting mortality among older adults, the highest-risk population, is not well established. In addition, few studies have compared the predictive utility of MetS to that of its individual risk factors.

METHODS: We evaluated relationships of MetS (as defined by the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults [Adult Treatment Panel III (ATPIII)], International Diabetes Foundation [IDF], and World Health Organization [WHO]) and individual MetS criteria with mortality between 1989 and 2004 among 4258 US adults 65 years or older and free of prevalent cardiovascular disease (CVD) in the Cardiovascular Health Study, a multicenter, population-based, prospective cohort. Total, CVD, and non-CVD mortality were evaluated. Cox proportional hazards models were used to estimate the mortality hazard ratio (relative risk [RR]) predicted by MetS.

RESULTS: At baseline (mean age, 73 years), 31\% of men and 38\% of women had MetS (ATPIII). During 15 years of follow-up, 2116 deaths occurred. After multivariable adjustment, compared with persons without MetS, those with MetS had a 22\% higher mortality (RR, 1.22; 95\% confidence interval [CI], 1.11-1.34). Higher risk with MetS was confined to persons having elevated fasting glucose level (EFG) (defined as > or = 110 mg/dL [> or = 6.1 mmol/L] or treated diabetes mellitus) (RR, 1.41; 95\% CI, 1.27-1.57) or hypertension (RR, 1.26; 95\% CI, 1.15-1.39) as one of the criteria; persons having MetS without EFG (RR, 0.97; 95\% CI, 0.85-1.11) or MetS without hypertension (RR, 0.92; 95\% CI, 0.71-1.19) did not have higher risk. Evaluating MetS criteria individually, we found that only hypertension and EFG predicted higher mortality; persons having both hypertension and EFG had 82\% higher mortality (RR, 1.82; 95\% CI, 1.58-109). Substantially higher proportions of deaths were attributable to EFG and hypertension (population attributable risk fraction [PAR\%], 22.2\%) than to MetS (PAR\%, 6.3\%). Results were similar when we used WHO or IDF criteria, when we evaluated different cut points of each individual criterion, and when we evaluated CVD mortality.

CONCLUSION: These findings suggest limited utility of MetS for predicting total or CVD mortality in older adults compared with assessment of fasting glucose and blood pressure alone.

}, keywords = {Aged, Aged, 80 and over, Blood Glucose, Fasting, Female, Follow-Up Studies, Humans, Hypertension, Male, Metabolic Syndrome, Multivariate Analysis, Proportional Hazards Models, Prospective Studies, Risk Assessment, United States}, issn = {1538-3679}, doi = {10.1001/archinte.168.9.969}, author = {Mozaffarian, Dariush and Kamineni, Aruna and Prineas, Ronald J and Siscovick, David S} } @article {1139, title = {Higher serum testosterone concentration in older women is associated with insulin resistance, metabolic syndrome, and cardiovascular disease.}, journal = {J Clin Endocrinol Metab}, volume = {94}, year = {2009}, month = {2009 Dec}, pages = {4776-84}, abstract = {

CONTEXT: Early postmenopausal women with higher testosterone (T) levels have increased insulin resistance (IR) and cardiovascular risk factors, but whether this translates into increased cardiovascular disease later in life is unknown.

OBJECTIVE: The objective of the study was to determine whether higher T levels are associated with IR, the metabolic syndrome (MetSyn), and coronary heart disease (CHD) in elderly women.

DESIGN: Total T and free T by equilibrium dialysis were measured using ultrasensitive assays in 344 women aged 65-98 yr enrolled in the Cardiovascular Health Study. Cross-sectional analyses were performed to examine the associations between total and free T and IR, MetSyn, and CHD.

RESULTS: There was a stepwise increase in the homeostasis model assessment of insulin resistance with increasing total (P = 0.0.003) and free T (P = 0.02) level and a corresponding decrease in Quantitative Insulin Sensitivity Check Index (P < 0.001 and P = 0.002, respectively). In adjusted models, higher levels of both total and free T were strongly associated with abdominal obesity and high fasting glucose, the two MetSyn components most strongly linked to IR. After adjustment, women in the top quartile of total T levels had a 3-fold greater odds of MetSyn (odds ratio 3.15, 95\% confidence interval 1.57-6.35) than those in the bottom quartile and a 3-fold greater odds of CHD (odds ratio 2.95, 95\% confidence interval 1.2-7.3) than those in second quartile, whereas free T was not significantly associated with MetSyn or CHD.

CONCLUSIONS: Higher levels of T are associated with IR, MetSyn, and CHD in elderly women. Whether T is a marker or mediator of cardiovascular disease in this population merits further investigation.

}, keywords = {Aged, Aged, 80 and over, Blood Glucose, Cardiovascular Diseases, Coronary Disease, Female, Humans, Insulin, Insulin Resistance, Metabolic Syndrome, Odds Ratio, Radioimmunoassay, Socioeconomic Factors, Testosterone, Treatment Outcome}, issn = {1945-7197}, doi = {10.1210/jc.2009-0740}, author = {Patel, Shrita M and Ratcliffe, Sarah J and Reilly, Muredach P and Weinstein, Rachel and Bhasin, Shalender and Blackman, Marc R and Cauley, Jane A and Sutton-Tyrrell, Kim and Robbins, John and Fried, Linda P and Cappola, Anne R} } @article {1073, title = {Metabolic syndrome and risk of venous thromboembolism: Longitudinal Investigation of Thromboembolism Etiology.}, journal = {J Thromb Haemost}, volume = {7}, year = {2009}, month = {2009 May}, pages = {746-51}, abstract = {

SUMMARY BACKGROUND: In a recent case-control study, the odds of metabolic syndrome (MetSyn) among deep vein thrombosis cases were almost twice those among controls. We tested the hypothesis that the incidence of non-cancer-related venous thromboembolism (VTE) is higher among adults with MetSyn and further, that associations are stronger for idiopathic than secondary VTE.

METHODS: A total of 20 374 middle-aged and elderly adults were followed for over 12 years for incident VTE in the Longitudinal Investigation of Thromboembolism Etiology (LITE). All hospitalizations were identified and VTEs validated by chart review. Baseline MetSyn was defined using ATP III guidelines, including >or=3 of the following components: abdominal obesity, elevated blood pressure, low HDL-cholesterol, high triglycerides and high glucose. Because sex modified the relation between MetSyn and VTE (p(interaction) = 0.001), proportional hazards regression analyses were stratified by sex to assess the associations of MetSyn and its components with risk of incident non-cancer-related VTE, adjusting for potential confounders.

RESULTS: Incident VTE (n = 358) included 196 idiopathic events. Baseline MetSyn was associated with risk of total VTE (hazard ratio (HR) = 1.84, 95\% CI = 1.30, 2.59) and idiopathic VTE (HR = 1.59, 95\% CI = 1.02, 2.47) among men, but not women. The association was largely attributable to abdominal obesity (HR of VTE = 2.10, 95\% CI = 1.51, 2.93, in men; HR of VTE = 1.70, 95\% CI = 1.24, 2.34, in women), with no additional contribution by the other MetSyn components.

CONCLUSION: Although abdominal obesity was associated with increased risk of VTE in both men and women, MetSyn and its other components do not seem important in VTE etiology.

}, keywords = {Blood Coagulation Factors, Blood Glucose, Blood Pressure, Body Mass Index, Cohort Studies, Female, Fibrinogen, Humans, Lipids, Longitudinal Studies, Male, Metabolic Syndrome, Proportional Hazards Models, Risk Factors, Venous Thromboembolism}, issn = {1538-7836}, doi = {10.1111/j.1538-7836.2009.03295.x}, author = {Steffen, L M and Cushman, M and Peacock, J M and Heckbert, S R and Jacobs, D R and Rosamond, W D and Folsom, A R} } @article {1213, title = {Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies.}, journal = {Lancet}, volume = {375}, year = {2010}, month = {2010 Jun 26}, pages = {2215-22}, abstract = {

BACKGROUND: Uncertainties persist about the magnitude of associations of diabetes mellitus and fasting glucose concentration with risk of coronary heart disease and major stroke subtypes. We aimed to quantify these associations for a wide range of circumstances.

METHODS: We undertook a meta-analysis of individual records of diabetes, fasting blood glucose concentration, and other risk factors in people without initial vascular disease from studies in the Emerging Risk Factors Collaboration. We combined within-study regressions that were adjusted for age, sex, smoking, systolic blood pressure, and body-mass index to calculate hazard ratios (HRs) for vascular disease.

FINDINGS: Analyses included data for 698 782 people (52 765 non-fatal or fatal vascular outcomes; 8.49 million person-years at risk) from 102 prospective studies. Adjusted HRs with diabetes were: 2.00 (95\% CI 1.83-2.19) for coronary heart disease; 2.27 (1.95-2.65) for ischaemic stroke; 1.56 (1.19-2.05) for haemorrhagic stroke; 1.84 (1.59-2.13) for unclassified stroke; and 1.73 (1.51-1.98) for the aggregate of other vascular deaths. HRs did not change appreciably after further adjustment for lipid, inflammatory, or renal markers. HRs for coronary heart disease were higher in women than in men, at 40-59 years than at 70 years and older, and with fatal than with non-fatal disease. At an adult population-wide prevalence of 10\%, diabetes was estimated to account for 11\% (10-12\%) of vascular deaths. Fasting blood glucose concentration was non-linearly related to vascular risk, with no significant associations between 3.90 mmol/L and 5.59 mmol/L. Compared with fasting blood glucose concentrations of 3.90-5.59 mmol/L, HRs for coronary heart disease were: 1.07 (0.97-1.18) for lower than 3.90 mmol/L; 1.11 (1.04-1.18) for 5.60-6.09 mmol/L; and 1.17 (1.08-1.26) for 6.10-6.99 mmol/L. In people without a history of diabetes, information about fasting blood glucose concentration or impaired fasting glucose status did not significantly improve metrics of vascular disease prediction when added to information about several conventional risk factors.

INTERPRETATION: Diabetes confers about a two-fold excess risk for a wide range of vascular diseases, independently from other conventional risk factors. In people without diabetes, fasting blood glucose concentration is modestly and non-linearly associated with risk of vascular disease.

FUNDING: British Heart Foundation, UK Medical Research Council, and Pfizer.

}, keywords = {Adult, Aged, Blood Glucose, Coronary Disease, Diabetes Complications, Diabetes Mellitus, Fasting, Female, Humans, Male, Middle Aged, Risk Factors, Stroke}, issn = {1474-547X}, doi = {10.1016/S0140-6736(10)60484-9}, author = {Sarwar, N and Gao, P and Seshasai, S R Kondapally and Gobin, R and Kaptoge, S and Di Angelantonio, E and Ingelsson, E and Lawlor, D A and Selvin, E and Stampfer, M and Stehouwer, C D A and Lewington, S and Pennells, L and Thompson, A and Sattar, N and White, I R and Ray, K K and Danesh, J} } @article {1203, title = {Egg consumption and risk of type 2 diabetes in older adults.}, journal = {Am J Clin Nutr}, volume = {92}, year = {2010}, month = {2010 Aug}, pages = {422-7}, abstract = {

BACKGROUND: Type 2 diabetes (T2D) remains an important public health issue in the United States. There are limited and inconsistent data on the association between egg consumption and fasting glucose or incident diabetes.

OBJECTIVES: We assessed the association between egg intake and incident diabetes in older adults.

DESIGN: In this prospective study of 3898 men and women from the Cardiovascular Health Study (1989-2007), we assessed egg consumption by using a picture-sorted food questionnaire and ascertained incident T2D annually by using information on hypoglycemic agents and plasma glucose. We used Cox proportional hazards models to estimate adjusted relative risks.

RESULTS: During a mean follow-up of 11.3 y, 313 new cases of T2D occurred. Crude incidence rates of T2D were 7.39, 6.83, 7.00, 6.72, and 12.20 per 1000 person-years in people who reported egg consumption of never, <1 egg/mo, 1-3 eggs/mo, 1-4 eggs/wk, and almost daily, respectively. In multivariable-adjusted models, there was no association between egg consumption and increased risk of T2D in either sex and overall. In a secondary analysis, dietary cholesterol was not associated with incident diabetes (P for trend = 0.47). In addition, egg consumption was not associated with clinically meaningful differences in fasting glucose, fasting insulin, or measures of insulin resistance despite small absolute analytic differences that were significant.

CONCLUSION: In this cohort of older adults with limited egg intake, there was no association between egg consumption or dietary cholesterol and increased risk of incident T2D.

}, keywords = {Aged, Blood Glucose, Cholesterol, Dietary, Diabetes Mellitus, Type 2, Diet, Diet Surveys, Eggs, Feeding Behavior, Female, Humans, Insulin, Insulin Resistance, Male, Proportional Hazards Models, Prospective Studies, Risk Factors, Surveys and Questionnaires}, issn = {1938-3207}, doi = {10.3945/ajcn.2010.29406}, author = {Djouss{\'e}, Luc and Kamineni, Aruna and Nelson, Tracy L and Carnethon, Mercedes and Mozaffarian, Dariush and Siscovick, David and Mukamal, Kenneth J} } @article {1222, title = {Interactions of dietary whole-grain intake with fasting glucose- and insulin-related genetic loci in individuals of European descent: a meta-analysis of 14 cohort studies.}, journal = {Diabetes Care}, volume = {33}, year = {2010}, month = {2010 Dec}, pages = {2684-91}, abstract = {

OBJECTIVE: Whole-grain foods are touted for multiple health benefits, including enhancing insulin sensitivity and reducing type 2 diabetes risk. Recent genome-wide association studies (GWAS) have identified several single nucleotide polymorphisms (SNPs) associated with fasting glucose and insulin concentrations in individuals free of diabetes. We tested the hypothesis that whole-grain food intake and genetic variation interact to influence concentrations of fasting glucose and insulin.

RESEARCH DESIGN AND METHODS: Via meta-analysis of data from 14 cohorts comprising \~{} 48,000 participants of European descent, we studied interactions of whole-grain intake with loci previously associated in GWAS with fasting glucose (16 loci) and/or insulin (2 loci) concentrations. For tests of interaction, we considered a P value <0.0028 (0.05 of 18 tests) as statistically significant.

RESULTS: Greater whole-grain food intake was associated with lower fasting glucose and insulin concentrations independent of demographics, other dietary and lifestyle factors, and BMI (β [95\% CI] per 1-serving-greater whole-grain intake: -0.009 mmol/l glucose [-0.013 to -0.005], P < 0.0001 and -0.011 pmol/l [ln] insulin [-0.015 to -0.007], P = 0.0003). No interactions met our multiple testing-adjusted statistical significance threshold. The strongest SNP interaction with whole-grain intake was rs780094 (GCKR) for fasting insulin (P = 0.006), where greater whole-grain intake was associated with a smaller reduction in fasting insulin concentrations in those with the insulin-raising allele.

CONCLUSIONS: Our results support the favorable association of whole-grain intake with fasting glucose and insulin and suggest a potential interaction between variation in GCKR and whole-grain intake in influencing fasting insulin concentrations.

}, keywords = {Adult, Aged, Blood Glucose, Edible Grain, European Continental Ancestry Group, Fasting, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Humans, Insulin, Male, Middle Aged, Polymorphism, Single Nucleotide}, issn = {1935-5548}, doi = {10.2337/dc10-1150}, author = {Nettleton, Jennifer A and McKeown, Nicola M and Kanoni, Stavroula and Lemaitre, Rozenn N and Hivert, Marie-France and Ngwa, Julius and van Rooij, Frank J A and Sonestedt, Emily and Wojczynski, Mary K and Ye, Zheng and Tanaka, Tosh and Garcia, Melissa and Anderson, Jennifer S and Follis, Jack L and Djouss{\'e}, Luc and Mukamal, Kenneth and Papoutsakis, Constantina and Mozaffarian, Dariush and Zillikens, M Carola and Bandinelli, Stefania and Bennett, Amanda J and Borecki, Ingrid B and Feitosa, Mary F and Ferrucci, Luigi and Forouhi, Nita G and Groves, Christopher J and Hallmans, G{\"o}ran and Harris, Tamara and Hofman, Albert and Houston, Denise K and Hu, Frank B and Johansson, Ingegerd and Kritchevsky, Stephen B and Langenberg, Claudia and Launer, Lenore and Liu, Yongmei and Loos, Ruth J and Nalls, Michael and Orho-Melander, Marju and Renstrom, Frida and Rice, Kenneth and Riserus, Ulf and Rolandsson, Olov and Rotter, Jerome I and Saylor, Georgia and Sijbrands, Eric J G and Sjogren, Per and Smith, Albert and Steingr{\'\i}msd{\'o}ttir, Laufey and Uitterlinden, Andr{\'e} G and Wareham, Nicholas J and Prokopenko, Inga and Pankow, James S and van Duijn, Cornelia M and Florez, Jose C and Witteman, Jacqueline C M and Dupuis, Jos{\'e}e and Dedoussis, George V and Ordovas, Jose M and Ingelsson, Erik and Cupples, L Adrienne and Siscovick, David S and Franks, Paul W and Meigs, James B} } @article {1160, title = {New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Feb}, pages = {105-16}, abstract = {

Levels of circulating glucose are tightly regulated. To identify new loci influencing glycemic traits, we performed meta-analyses of 21 genome-wide association studies informative for fasting glucose, fasting insulin and indices of beta-cell function (HOMA-B) and insulin resistance (HOMA-IR) in up to 46,186 nondiabetic participants. Follow-up of 25 loci in up to 76,558 additional subjects identified 16 loci associated with fasting glucose and HOMA-B and two loci associated with fasting insulin and HOMA-IR. These include nine loci newly associated with fasting glucose (in or near ADCY5, MADD, ADRA2A, CRY2, FADS1, GLIS3, SLC2A2, PROX1 and C2CD4B) and one influencing fasting insulin and HOMA-IR (near IGF1). We also demonstrated association of ADCY5, PROX1, GCK, GCKR and DGKB-TMEM195 with type 2 diabetes. Within these loci, likely biological candidate genes influence signal transduction, cell proliferation, development, glucose-sensing and circadian regulation. Our results demonstrate that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes.

}, keywords = {Adolescent, Adult, Alleles, Blood Glucose, Child, Databases, Genetic, Diabetes Mellitus, Type 2, DNA Copy Number Variations, Fasting, Gene Expression Regulation, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Homeostasis, Humans, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Quantitative Trait, Heritable, Reproducibility of Results}, issn = {1546-1718}, doi = {10.1038/ng.520}, author = {Dupuis, Jos{\'e}e and Langenberg, Claudia and Prokopenko, Inga and Saxena, Richa and Soranzo, Nicole and Jackson, Anne U and Wheeler, Eleanor and Glazer, Nicole L and Bouatia-Naji, Nabila and Gloyn, Anna L and Lindgren, Cecilia M and M{\"a}gi, Reedik and Morris, Andrew P and Randall, Joshua and Johnson, Toby and Elliott, Paul and Rybin, Denis and Thorleifsson, Gudmar and Steinthorsdottir, Valgerdur and Henneman, Peter and Grallert, Harald and Dehghan, Abbas and Hottenga, Jouke Jan and Franklin, Christopher S and Navarro, Pau and Song, Kijoung and Goel, Anuj and Perry, John R B and Egan, Josephine M and Lajunen, Taina and Grarup, Niels and Spars{\o}, Thomas and Doney, Alex and Voight, Benjamin F and Stringham, Heather M and Li, Man and Kanoni, Stavroula and Shrader, Peter and Cavalcanti-Proen{\c c}a, Christine and Kumari, Meena and Qi, Lu and Timpson, Nicholas J and Gieger, Christian and Zabena, Carina and Rocheleau, Ghislain and Ingelsson, Erik and An, Ping and O{\textquoteright}Connell, Jeffrey and Luan, Jian{\textquoteright}an and Elliott, Amanda and McCarroll, Steven A and Payne, Felicity and Roccasecca, Rosa Maria and Pattou, Fran{\c c}ois and Sethupathy, Praveen and Ardlie, Kristin and Ariyurek, Yavuz and Balkau, Beverley and Barter, Philip and Beilby, John P and Ben-Shlomo, Yoav and Benediktsson, Rafn and Bennett, Amanda J and Bergmann, Sven and Bochud, Murielle and Boerwinkle, Eric and Bonnefond, Am{\'e}lie and Bonnycastle, Lori L and Borch-Johnsen, Knut and B{\"o}ttcher, Yvonne and Brunner, Eric and Bumpstead, Suzannah J and Charpentier, Guillaume and Chen, Yii-Der Ida and Chines, Peter and Clarke, Robert and Coin, Lachlan J M and Cooper, Matthew N and Cornelis, Marilyn and Crawford, Gabe and Crisponi, Laura and Day, Ian N M and de Geus, Eco J C and Delplanque, Jerome and Dina, Christian and Erdos, Michael R and Fedson, Annette C and Fischer-Rosinsky, Antje and Forouhi, Nita G and Fox, Caroline S and Frants, Rune and Franzosi, Maria Grazia and Galan, Pilar and Goodarzi, Mark O and Graessler, J{\"u}rgen and Groves, Christopher J and Grundy, Scott and Gwilliam, Rhian and Gyllensten, Ulf and Hadjadj, Samy and Hallmans, G{\"o}ran and Hammond, Naomi and Han, Xijing and Hartikainen, Anna-Liisa and Hassanali, Neelam and Hayward, Caroline and Heath, Simon C and Hercberg, Serge and Herder, Christian and Hicks, Andrew A and Hillman, David R and Hingorani, Aroon D and Hofman, Albert and Hui, Jennie and Hung, Joe and Isomaa, Bo and Johnson, Paul R V and J{\o}rgensen, Torben and Jula, Antti and Kaakinen, Marika and Kaprio, Jaakko and Kesaniemi, Y Antero and Kivimaki, Mika and Knight, Beatrice and Koskinen, Seppo and Kovacs, Peter and Kyvik, Kirsten Ohm and Lathrop, G Mark and Lawlor, Debbie A and Le Bacquer, Olivier and Lecoeur, C{\'e}cile and Li, Yun and Lyssenko, Valeriya and Mahley, Robert and Mangino, Massimo and Manning, Alisa K and Mart{\'\i}nez-Larrad, Mar{\'\i}a Teresa and McAteer, Jarred B and McCulloch, Laura J and McPherson, Ruth and Meisinger, Christa and Melzer, David and Meyre, David and Mitchell, Braxton D and Morken, Mario A and Mukherjee, Sutapa and Naitza, Silvia and Narisu, Narisu and Neville, Matthew J and Oostra, Ben A and Orr{\`u}, Marco and Pakyz, Ruth and Palmer, Colin N A and Paolisso, Giuseppe and Pattaro, Cristian and Pearson, Daniel and Peden, John F and Pedersen, Nancy L and Perola, Markus and Pfeiffer, Andreas F H and Pichler, Irene and Polasek, Ozren and Posthuma, Danielle and Potter, Simon C and Pouta, Anneli and Province, Michael A and Psaty, Bruce M and Rathmann, Wolfgang and Rayner, Nigel W and Rice, Kenneth and Ripatti, Samuli and Rivadeneira, Fernando and Roden, Michael and Rolandsson, Olov and Sandbaek, Annelli and Sandhu, Manjinder and Sanna, Serena and Sayer, Avan Aihie and Scheet, Paul and Scott, Laura J and Seedorf, Udo and Sharp, Stephen J and Shields, Beverley and Sigurethsson, Gunnar and Sijbrands, Eric J G and Silveira, Angela and Simpson, Laila and Singleton, Andrew and Smith, Nicholas L and Sovio, Ulla and Swift, Amy and Syddall, Holly and Syv{\"a}nen, Ann-Christine and Tanaka, Toshiko and Thorand, Barbara and Tichet, Jean and T{\"o}njes, Anke and Tuomi, Tiinamaija and Uitterlinden, Andr{\'e} G and van Dijk, Ko Willems and van Hoek, Mandy and Varma, Dhiraj and Visvikis-Siest, Sophie and Vitart, Veronique and Vogelzangs, Nicole and Waeber, G{\'e}rard and Wagner, Peter J and Walley, Andrew and Walters, G Bragi and Ward, Kim L and Watkins, Hugh and Weedon, Michael N and Wild, Sarah H and Willemsen, Gonneke and Witteman, Jaqueline C M and Yarnell, John W G and Zeggini, Eleftheria and Zelenika, Diana and Zethelius, Bj{\"o}rn and Zhai, Guangju and Zhao, Jing Hua and Zillikens, M Carola and Borecki, Ingrid B and Loos, Ruth J F and Meneton, Pierre and Magnusson, Patrik K E and Nathan, David M and Williams, Gordon H and Hattersley, Andrew T and Silander, Kaisa and Salomaa, Veikko and Smith, George Davey and Bornstein, Stefan R and Schwarz, Peter and Spranger, Joachim and Karpe, Fredrik and Shuldiner, Alan R and Cooper, Cyrus and Dedoussis, George V and Serrano-R{\'\i}os, Manuel and Morris, Andrew D and Lind, Lars and Palmer, Lyle J and Hu, Frank B and Franks, Paul W and Ebrahim, Shah and Marmot, Michael and Kao, W H Linda and Pankow, James S and Sampson, Michael J and Kuusisto, Johanna and Laakso, Markku and Hansen, Torben and Pedersen, Oluf and Pramstaller, Peter Paul and Wichmann, H Erich and Illig, Thomas and Rudan, Igor and Wright, Alan F and Stumvoll, Michael and Campbell, Harry and Wilson, James F and Bergman, Richard N and Buchanan, Thomas A and Collins, Francis S and Mohlke, Karen L and Tuomilehto, Jaakko and Valle, Timo T and Altshuler, David and Rotter, Jerome I and Siscovick, David S and Penninx, Brenda W J H and Boomsma, Dorret I and Deloukas, Panos and Spector, Timothy D and Frayling, Timothy M and Ferrucci, Luigi and Kong, Augustine and Thorsteinsdottir, Unnur and Stefansson, Kari and van Duijn, Cornelia M and Aulchenko, Yurii S and Cao, Antonio and Scuteri, Angelo and Schlessinger, David and Uda, Manuela and Ruokonen, Aimo and Jarvelin, Marjo-Riitta and Waterworth, Dawn M and Vollenweider, Peter and Peltonen, Leena and Mooser, Vincent and Abecasis, Goncalo R and Wareham, Nicholas J and Sladek, Robert and Froguel, Philippe and Watanabe, Richard M and Meigs, James B and Groop, Leif and Boehnke, Michael and McCarthy, Mark I and Florez, Jose C and Barroso, In{\^e}s} } @article {1272, title = {Diabetes mellitus, fasting glucose, and risk of cause-specific death.}, journal = {N Engl J Med}, volume = {364}, year = {2011}, month = {2011 Mar 03}, pages = {829-841}, abstract = {

BACKGROUND: The extent to which diabetes mellitus or hyperglycemia is related to risk of death from cancer or other nonvascular conditions is uncertain.

METHODS: We calculated hazard ratios for cause-specific death, according to baseline diabetes status or fasting glucose level, from individual-participant data on 123,205 deaths among 820,900 people in 97 prospective studies.

RESULTS: After adjustment for age, sex, smoking status, and body-mass index, hazard ratios among persons with diabetes as compared with persons without diabetes were as follows: 1.80 (95\% confidence interval [CI], 1.71 to 1.90) for death from any cause, 1.25 (95\% CI, 1.19 to 1.31) for death from cancer, 2.32 (95\% CI, 2.11 to 2.56) for death from vascular causes, and 1.73 (95\% CI, 1.62 to 1.85) for death from other causes. Diabetes (vs. no diabetes) was moderately associated with death from cancers of the liver, pancreas, ovary, colorectum, lung, bladder, and breast. Aside from cancer and vascular disease, diabetes (vs. no diabetes) was also associated with death from renal disease, liver disease, pneumonia and other infectious diseases, mental disorders, nonhepatic digestive diseases, external causes, intentional self-harm, nervous-system disorders, and chronic obstructive pulmonary disease. Hazard ratios were appreciably reduced after further adjustment for glycemia measures, but not after adjustment for systolic blood pressure, lipid levels, inflammation or renal markers. Fasting glucose levels exceeding 100 mg per deciliter (5.6 mmol per liter), but not levels of 70 to 100 mg per deciliter (3.9 to 5.6 mmol per liter), were associated with death. A 50-year-old with diabetes died, on average, 6 years earlier than a counterpart without diabetes, with about 40\% of the difference in survival attributable to excess nonvascular deaths.

CONCLUSIONS: In addition to vascular disease, diabetes is associated with substantial premature death from several cancers, infectious diseases, external causes, intentional self-harm, and degenerative disorders, independent of several major risk factors. (Funded by the British Heart Foundation and others.).

}, keywords = {Blood Glucose, Cause of Death, Diabetes Mellitus, Female, Humans, Hyperglycemia, Life Expectancy, Male, Middle Aged, Risk, Survival Analysis}, issn = {1533-4406}, doi = {10.1056/NEJMoa1008862}, author = {Rao Kondapally Seshasai, Sreenivasa and Kaptoge, Stephen and Thompson, Alexander and Di Angelantonio, Emanuele and Gao, Pei and Sarwar, Nadeem and Whincup, Peter H and Mukamal, Kenneth J and Gillum, Richard F and Holme, Ingar and Nj{\o}lstad, Inger and Fletcher, Astrid and Nilsson, Peter and Lewington, Sarah and Collins, Rory and Gudnason, Vilmundur and Thompson, Simon G and Sattar, Naveed and Selvin, Elizabeth and Hu, Frank B and Danesh, John} } @article {1339, title = {Fasting and post-glucose load measures of insulin resistance and risk of ischemic stroke in older adults.}, journal = {Stroke}, volume = {42}, year = {2011}, month = {2011 Dec}, pages = {3347-51}, abstract = {

BACKGROUND AND PURPOSE: Few studies have assessed post-glucose load measures of insulin resistance and ischemic stroke risk, and data are sparse for older adults. We investigated whether fasting and post-glucose load measures of insulin resistance were related to incident ischemic stroke in nondiabetic, older adults.

METHODS: Participants were men and women in the Cardiovascular Health Study, age 65+ years and without prevalent diabetes or stroke at baseline, followed for 17 years for incident ischemic stroke. The Gutt insulin sensitivity index was calculated from baseline body weight and from fasting and 2-hour postload insulin and glucose; a lower Gutt index indicates higher insulin resistance.

RESULTS: Analyses included 3442 participants (42\% men) with a mean age of 73 years. Incidence of ischemic stroke was 9.8 strokes per 1000 person-years. The relative risk (RR) for lowest quartile versus highest quartile of Gutt index was 1.64 (95\% CI, 1.24-2.16), adjusted for demographics and prevalent cardiovascular and kidney disease. Similarly, the adjusted RR for highest quartile versus lowest quartile of 2-hour glucose was 1.84 (95\% CI, 1.39-2.42). In contrast, the adjusted RR for highest quartile versus lowest quartile of fasting insulin was 1.10 (95\% CI, 0.84-1.46).

CONCLUSIONS: In nondiabetic, older adults, insulin resistance measured by Gutt index or 2-hour glucose, but not by fasting insulin, was associated with risk of incident ischemic stroke.

}, keywords = {Aged, Aged, 80 and over, Blood Glucose, Body Mass Index, Brain Ischemia, Fasting, Female, Humans, Incidence, Insulin Resistance, Male, Risk, Stroke}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.111.620773}, author = {Thacker, Evan L and Psaty, Bruce M and McKnight, Barbara and Heckbert, Susan R and Longstreth, W T and Mukamal, Kenneth J and Meigs, James B and de Boer, Ian H and Boyko, Edward J and Carnethon, Mercedes R and Kizer, Jorge R and Tracy, Russell P and Smith, Nicholas L and Siscovick, David S} } @article {1345, title = {A phenomics-based strategy identifies loci on APOC1, BRAP, and PLCG1 associated with metabolic syndrome phenotype domains.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Oct}, pages = {e1002322}, abstract = {

Despite evidence of the clustering of metabolic syndrome components, current approaches for identifying unifying genetic mechanisms typically evaluate clinical categories that do not provide adequate etiological information. Here, we used data from 19,486 European American and 6,287 African American Candidate Gene Association Resource Consortium participants to identify loci associated with the clustering of metabolic phenotypes. Six phenotype domains (atherogenic dyslipidemia, vascular dysfunction, vascular inflammation, pro-thrombotic state, central obesity, and elevated plasma glucose) encompassing 19 quantitative traits were examined. Principal components analysis was used to reduce the dimension of each domain such that >55\% of the trait variance was represented within each domain. We then applied a statistically efficient and computational feasible multivariate approach that related eight principal components from the six domains to 250,000 imputed SNPs using an additive genetic model and including demographic covariates. In European Americans, we identified 606 genome-wide significant SNPs representing 19 loci. Many of these loci were associated with only one trait domain, were consistent with results in African Americans, and overlapped with published findings, for instance central obesity and FTO. However, our approach, which is applicable to any set of interval scale traits that is heritable and exhibits evidence of phenotypic clustering, identified three new loci in or near APOC1, BRAP, and PLCG1, which were associated with multiple phenotype domains. These pleiotropic loci may help characterize metabolic dysregulation and identify targets for intervention.

}, keywords = {African Americans, Apolipoprotein C-I, Blood Glucose, Dyslipidemias, European Continental Ancestry Group, Genetic Association Studies, Genetic Predisposition to Disease, Genome, Human, Humans, Metabolic Syndrome, Obesity, Abdominal, Phenotype, Phospholipase C gamma, Polymorphism, Single Nucleotide, Quantitative Trait, Heritable, Ubiquitin-Protein Ligases, Vascular Diseases}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002322}, author = {Avery, Christy L and He, Qianchuan and North, Kari E and Ambite, Jos{\'e} L and Boerwinkle, Eric and Fornage, Myriam and Hindorff, Lucia A and Kooperberg, Charles and Meigs, James B and Pankow, James S and Pendergrass, Sarah A and Psaty, Bruce M and Ritchie, Marylyn D and Rotter, Jerome I and Taylor, Kent D and Wilkens, Lynne R and Heiss, Gerardo and Lin, Dan Yu} } @article {1308, title = {Total zinc intake may modify the glucose-raising effect of a zinc transporter (SLC30A8) variant: a 14-cohort meta-analysis.}, journal = {Diabetes}, volume = {60}, year = {2011}, month = {2011 Sep}, pages = {2407-16}, abstract = {

OBJECTIVE: Many genetic variants have been associated with glucose homeostasis and type 2 diabetes in genome-wide association studies. Zinc is an essential micronutrient that is important for β-cell function and glucose homeostasis. We tested the hypothesis that zinc intake could influence the glucose-raising effect of specific variants.

RESEARCH DESIGN AND METHODS: We conducted a 14-cohort meta-analysis to assess the interaction of 20 genetic variants known to be related to glycemic traits and zinc metabolism with dietary zinc intake (food sources) and a 5-cohort meta-analysis to assess the interaction with total zinc intake (food sources and supplements) on fasting glucose levels among individuals of European ancestry without diabetes.

RESULTS: We observed a significant association of total zinc intake with lower fasting glucose levels (β-coefficient {\textpm} SE per 1 mg/day of zinc intake: -0.0012 {\textpm} 0.0003 mmol/L, summary P value = 0.0003), while the association of dietary zinc intake was not significant. We identified a nominally significant interaction between total zinc intake and the SLC30A8 rs11558471 variant on fasting glucose levels (β-coefficient {\textpm} SE per A allele for 1 mg/day of greater total zinc intake: -0.0017 {\textpm} 0.0006 mmol/L, summary interaction P value = 0.005); this result suggests a stronger inverse association between total zinc intake and fasting glucose in individuals carrying the glucose-raising A allele compared with individuals who do not carry it. None of the other interaction tests were statistically significant.

CONCLUSIONS: Our results suggest that higher total zinc intake may attenuate the glucose-raising effect of the rs11558471 SLC30A8 (zinc transporter) variant. Our findings also support evidence for the association of higher total zinc intake with lower fasting glucose levels.

}, keywords = {Blood Glucose, Cation Transport Proteins, Cohort Studies, Humans, Polymorphism, Single Nucleotide, Zinc, Zinc Transporter 8}, issn = {1939-327X}, doi = {10.2337/db11-0176}, author = {Kanoni, Stavroula and Nettleton, Jennifer A and Hivert, Marie-France and Ye, Zheng and van Rooij, Frank J A and Shungin, Dmitry and Sonestedt, Emily and Ngwa, Julius S and Wojczynski, Mary K and Lemaitre, Rozenn N and Gustafsson, Stefan and Anderson, Jennifer S and Tanaka, Toshiko and Hindy, George and Saylor, Georgia and Renstrom, Frida and Bennett, Amanda J and van Duijn, Cornelia M and Florez, Jose C and Fox, Caroline S and Hofman, Albert and Hoogeveen, Ron C and Houston, Denise K and Hu, Frank B and Jacques, Paul F and Johansson, Ingegerd and Lind, Lars and Liu, Yongmei and McKeown, Nicola and Ordovas, Jose and Pankow, James S and Sijbrands, Eric J G and Syv{\"a}nen, Ann-Christine and Uitterlinden, Andr{\'e} G and Yannakoulia, Mary and Zillikens, M Carola and Wareham, Nick J and Prokopenko, Inga and Bandinelli, Stefania and Forouhi, Nita G and Cupples, L Adrienne and Loos, Ruth J and Hallmans, G{\"o}ran and Dupuis, Jos{\'e}e and Langenberg, Claudia and Ferrucci, Luigi and Kritchevsky, Stephen B and McCarthy, Mark I and Ingelsson, Erik and Borecki, Ingrid B and Witteman, Jacqueline C M and Orho-Melander, Marju and Siscovick, David S and Meigs, James B and Franks, Paul W and Dedoussis, George V} } @article {1561, title = {Common genetic variants differentially influence the transition from clinically defined states of fasting glucose metabolism.}, journal = {Diabetologia}, volume = {55}, year = {2012}, month = {2012 Feb}, pages = {331-9}, abstract = {

AIMS/HYPOTHESIS: Common genetic variants have been associated with type 2 diabetes. We hypothesised that a subset of these variants may have different effects on the transition from normal fasting glucose (NFG) to impaired fasting glucose (IFG) than on that from IFG to diabetes.

METHODS: We identified 16 type 2 diabetes risk variants from the Illumina Broad Candidate-gene Association Resource (CARe) array genotyped in 26,576 CARe participants. Participants were categorised at baseline as NFG, IFG or type 2 diabetic (n = 16,465, 8,017 or 2,291, respectively). Using Cox proportional hazards and likelihood ratio tests (LRTs), we compared rates of progression by genotype for 4,909 (NFG to IFG) and 1,518 (IFG to type 2 diabetes) individuals, respectively. We then performed multinomial regression analyses at baseline, comparing the risk of assignment to the NFG, IFG or diabetes groups by genotype.

RESULTS: The rate of progression from NFG to IFG was significantly greater in participants carrying the risk allele at MTNR1B (p = 1 {\texttimes} 10(-4)), nominally greater at GCK and SLC30A8 (p < 0.05) and nominally smaller at IGF2BP2 (p = 0.01) than the rate of progression from IFG to diabetes by the LRT. Results of the baseline, multinomial regression model were consistent with these findings.

CONCLUSIONS/INTERPRETATION: Common genetic risk variants at GCK, SLC30A8, IGF2BP2 and MTNR1B influence to different extents the development of IFG and the transition from IFG to type 2 diabetes. Our findings may have implications for understanding the genetic contribution of these variants to the development of IFG and type 2 diabetes.

}, keywords = {Adult, Aged, Blood Glucose, Cohort Studies, Diabetes Mellitus, Type 2, Disease Progression, Fasting, Female, Genetic Variation, Genotype, Humans, Male, Middle Aged, Models, Genetic, Polymorphism, Single Nucleotide, Proportional Hazards Models, Regression Analysis, Risk}, issn = {1432-0428}, doi = {10.1007/s00125-011-2353-8}, author = {Walford, G A and Green, T and Neale, B and Isakova, T and Rotter, J I and Grant, S F A and Fox, C S and Pankow, J S and Wilson, J G and Meigs, J B and Siscovick, D S and Bowden, D W and Daly, M J and Florez, J C} } @article {5860, title = {Hemoglobin A1c and arterial and ventricular stiffness in older adults.}, journal = {PLoS One}, volume = {7}, year = {2012}, month = {2012}, pages = {e47941}, abstract = {

OBJECTIVE: Arterial and ventricular stiffening are characteristics of diabetes and aging which confer significant morbidity and mortality; advanced glycation endproducts (AGE) are implicated in this stiffening pathophysiology. We examined the association between HbA(1c), an AGE, with arterial and ventricular stiffness measures in older individuals without diabetes.

RESEARCH DESIGN \& METHODS: Baseline HbA(1c) was measured in 830 participants free of diabetes defined by fasting glucose or medication use in the Cardiovascular Health Study, a population-based cohort study of adults aged >= 65 years. We performed cross-sectional analyses using baseline exam data including echocardiography, ankle and brachial blood pressure measurement, and carotid ultrasonography. We examined the adjusted associations between HbA(1c) and multiple arterial and ventricular stiffness measures by linear regression models and compared these results to the association of fasting glucose (FG) with like measures.

RESULTS: HbA(1c) was correlated with fasting and 2-hour postload glucose levels (r = 0.21; p<0.001 for both) and positively associated with greater body-mass index and black race. In adjusted models, HbA(1c) was not associated with any measure of arterial or ventricular stiffness, including pulse pressure (PP), carotid intima-media thickness, ankle-brachial index, end-arterial elastance, or left ventricular mass (LVM). FG levels were positively associated with systolic, diastolic and PP and LVM.

CONCLUSIONS: In this sample of older adults without diabetes, HbA(1c) was not associated with arterial or ventricular stiffness measures, whereas FG levels were. The role of AGE in arterial and ventricular stiffness in older adults may be better assessed using alternate AGE markers.

}, keywords = {Adult, African Continental Ancestry Group, Aged, Ankle Brachial Index, Arteries, Blood Glucose, Blood Pressure, Body Mass Index, Cross-Sectional Studies, Fasting, Female, Genetic Association Studies, Glycated Hemoglobin A, Glycation End Products, Advanced, Heart Ventricles, Humans, Male, Middle Aged, Ultrasonography, Vascular Stiffness}, issn = {1932-6203}, doi = {10.1371/journal.pone.0047941}, author = {Zieman, Susan J and Kamineni, Aruna and Ix, Joachim H and Barzilay, Joshua and Djouss{\'e}, Luc and Kizer, Jorge R and Biggs, Mary L and de Boer, Ian H and Chonchol, Michel and Gottdiener, John S and Selvin, Elizabeth and Newman, Anne B and Kuller, Lewis H and Siscovick, David S and Mukamal, Kenneth J} } @article {1370, title = {Insulin resistance and incident peripheral artery disease in the Cardiovascular Health Study.}, journal = {Vasc Med}, volume = {17}, year = {2012}, month = {2012 Apr}, pages = {85-93}, abstract = {

Type 2 diabetes is a risk factor for peripheral artery disease (PAD), and insulin resistance is a key feature of diabetes and pre-diabetes. No longitudinal epidemiological study has examined the relation between insulin resistance and PAD. Our study analyzed the association of quartiles of the homeostatic model of insulin resistance (HOMA-IR) and the development of PAD defined by two methods. PAD was first defined as the development of an abnormal ankle-brachial index (ABI) (dichotomous outcome) after 6 years of follow-up. PAD was alternatively defined as the development of clinical PAD (time-to-event analysis). The study samples included adults over the age of 65 years who were enrolled in the Cardiovascular Health Study, had fasting measurements of insulin and glucose, had ABI measurements, and were not receiving treatment for diabetes. Multivariable models were adjusted for potential confounders, including age, sex, field center and cohort, body mass index (BMI), smoking status, alcohol use, and exercise intensity. Additional models adjusted for potential mediators, including blood pressure, lipids, kidney function, and prevalent vascular disease. In the ABI analysis (n = 2108), multivariable adjusted models demonstrated a positive relation between HOMA-IR and incident PAD (odds ratio = 1.80 comparing the 4th versus 1st quartile of HOMA-IR, 95\% confidence interval [CI] 1.20-2.71). In the clinical PAD analysis (n = 4208), we found a similar relation (hazard ratio = 2.30 comparing the 4th versus 1st quartile of HOMA-IR, 95\% CI 1.15-4.58). As expected, further adjustment for potential mediators led to some attenuation of effect estimates. In conclusion, insulin resistance is associated with a higher risk of PAD in older adults.

}, keywords = {Aged, Ankle Brachial Index, Biomarkers, Blood Glucose, Diabetes Mellitus, Type 2, Diabetic Angiopathies, Fasting, Female, Health Surveys, Humans, Incidence, Insulin, Insulin Resistance, Logistic Models, Longitudinal Studies, Male, Odds Ratio, Peripheral Arterial Disease, Predictive Value of Tests, Proportional Hazards Models, Prospective Studies, Risk Assessment, Risk Factors, Time Factors, United States}, issn = {1477-0377}, doi = {10.1177/1358863X11436195}, author = {Britton, Kathryn A and Mukamal, Kenneth J and Ix, Joachim H and Siscovick, David S and Newman, Anne B and de Boer, Ian H and Thacker, Evan L and Biggs, Mary L and Gaziano, J Michael and Djouss{\'e}, Luc} } @article {1372, title = {Insulin resistance, cystatin C, and mortality among older adults.}, journal = {Diabetes Care}, volume = {35}, year = {2012}, month = {2012 Jun}, pages = {1355-60}, abstract = {

OBJECTIVE: Insulin resistance is a risk factor for cardiovascular and noncardiovascular diseases. Impaired kidney function is linked with insulin resistance and may affect relationships of insulin resistance with health outcomes.

RESEARCH DESIGN AND METHODS: We performed a cohort study of 3,138 Cardiovascular Health Study participants (age >= 65 years) without diabetes. Insulin sensitivity index (ISI) was calculated from fasting and 2-h postload insulin and glucose concentrations. Associations of ISI and fasting insulin concentration with all-cause mortality were tested using Cox proportional hazards models, adjusting for demographic variables, prevalent cardiovascular disease, lifestyle variables, waist circumference, and LDL cholesterol. Subsequent models were additionally adjusted for or stratified by glomerular filtration rate estimated using serum cystatin C (eGFR).

RESULTS: A total of 1,810 participants died during the 14.7-year median follow-up. Compared with the highest quartile of ISI, the lowest quartile (most insulin resistant) was associated with 21\% (95\% CI 6-41) and 11\% (-3 to 29) higher risks of death without and with adjustment for eGFR, respectively. Compared with the lowest quartile of fasting insulin concentration, the highest quartile was associated with 22\% (4-43) and 4\% (-12 to 22) higher risks of death without and with adjustment for eGFR, respectively. Similar attenuation by eGFR was observed when blood pressure, triglycerides, HDL cholesterol, and C-reactive protein were included in models.

CONCLUSIONS: Insulin resistance measured as ISI or fasting insulin concentration is associated with increased risk of death among older adults, adjusting for conventional confounding characteristics. Impaired kidney function may mediate or confound this relationship.

}, keywords = {Aged, Aged, 80 and over, Blood Glucose, Blood Pressure, C-Reactive Protein, Cardiovascular Diseases, Cholesterol, HDL, Cholesterol, LDL, Cohort Studies, Cystatin C, Fasting, Female, Glomerular Filtration Rate, Humans, Insulin Resistance, Life Style, Male, Mortality, Predictive Value of Tests, Proportional Hazards Models, Renal Insufficiency, Risk Factors, Triglycerides, Waist Circumference}, issn = {1935-5548}, doi = {10.2337/dc11-1657}, author = {de Boer, Ian H and Katz, Ronit and Chonchol, Michel B and Fried, Linda F and Ix, Joachim H and Kestenbaum, Bryan and Mukamal, Kenneth J and Peralta, Carmen A and Siscovick, David S} } @article {6091, title = {Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways.}, journal = {Nat Genet}, volume = {44}, year = {2012}, month = {2012 Sep}, pages = {991-1005}, abstract = {

Through genome-wide association meta-analyses of up to 133,010 individuals of European ancestry without diabetes, including individuals newly genotyped using the Metabochip, we have increased the number of confirmed loci influencing glycemic traits to 53, of which 33 also increase type 2 diabetes risk (q < 0.05). Loci influencing fasting insulin concentration showed association with lipid levels and fat distribution, suggesting impact on insulin resistance. Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations. This conclusion is supported by an excess of directionally consistent and nominally significant signals between discovery and follow-up studies. Functional analysis of these newly discovered loci will further improve our understanding of glycemic control.

}, keywords = {Adult, Animals, Blood Glucose, Fasting, Female, Gene Frequency, Genome-Wide Association Study, Humans, Insulin, Male, Metabolic Networks and Pathways, Mice, Osmolar Concentration, Quantitative Trait Loci}, issn = {1546-1718}, doi = {10.1038/ng.2385}, author = {Scott, Robert A and Lagou, Vasiliki and Welch, Ryan P and Wheeler, Eleanor and Montasser, May E and Luan, Jian{\textquoteright}an and M{\"a}gi, Reedik and Strawbridge, Rona J and Rehnberg, Emil and Gustafsson, Stefan and Kanoni, Stavroula and Rasmussen-Torvik, Laura J and Yengo, Loic and Lecoeur, C{\'e}cile and Shungin, Dmitry and Sanna, Serena and Sidore, Carlo and Johnson, Paul C D and Jukema, J Wouter and Johnson, Toby and Mahajan, Anubha and Verweij, Niek and Thorleifsson, Gudmar and Hottenga, Jouke-Jan and Shah, Sonia and Smith, Albert V and Sennblad, Bengt and Gieger, Christian and Salo, Perttu and Perola, Markus and Timpson, Nicholas J and Evans, David M and Pourcain, Beate St and Wu, Ying and Andrews, Jeanette S and Hui, Jennie and Bielak, Lawrence F and Zhao, Wei and Horikoshi, Momoko and Navarro, Pau and Isaacs, Aaron and O{\textquoteright}Connell, Jeffrey R and Stirrups, Kathleen and Vitart, Veronique and Hayward, Caroline and Esko, T{\~o}nu and Mihailov, Evelin and Fraser, Ross M and Fall, Tove and Voight, Benjamin F and Raychaudhuri, Soumya and Chen, Han and Lindgren, Cecilia M and Morris, Andrew P and Rayner, Nigel W and Robertson, Neil and Rybin, Denis and Liu, Ching-Ti and Beckmann, Jacques S and Willems, Sara M and Chines, Peter S and Jackson, Anne U and Kang, Hyun Min and Stringham, Heather M and Song, Kijoung and Tanaka, Toshiko and Peden, John F and Goel, Anuj and Hicks, Andrew A and An, Ping and M{\"u}ller-Nurasyid, Martina and Franco-Cereceda, Anders and Folkersen, Lasse and Marullo, Letizia and Jansen, Hanneke and Oldehinkel, Albertine J and Bruinenberg, Marcel and Pankow, James S and North, Kari E and Forouhi, Nita G and Loos, Ruth J F and Edkins, Sarah and Varga, Tibor V and Hallmans, G{\"o}ran and Oksa, Heikki and Antonella, Mulas and Nagaraja, Ramaiah and Trompet, Stella and Ford, Ian and Bakker, Stephan J L and Kong, Augustine and Kumari, Meena and Gigante, Bruna and Herder, Christian and Munroe, Patricia B and Caulfield, Mark and Antti, Jula and Mangino, Massimo and Small, Kerrin and Miljkovic, Iva and Liu, Yongmei and Atalay, Mustafa and Kiess, Wieland and James, Alan L and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Palmer, Colin N A and Doney, Alex S F and Willemsen, Gonneke and Smit, Johannes H and Campbell, Susan and Polasek, Ozren and Bonnycastle, Lori L and Hercberg, Serge and Dimitriou, Maria and Bolton, Jennifer L and Fowkes, Gerard R and Kovacs, Peter and Lindstr{\"o}m, Jaana and Zemunik, Tatijana and Bandinelli, Stefania and Wild, Sarah H and Basart, Hanneke V and Rathmann, Wolfgang and Grallert, Harald and Maerz, Winfried and Kleber, Marcus E and Boehm, Bernhard O and Peters, Annette and Pramstaller, Peter P and Province, Michael A and Borecki, Ingrid B and Hastie, Nicholas D and Rudan, Igor and Campbell, Harry and Watkins, Hugh and Farrall, Martin and Stumvoll, Michael and Ferrucci, Luigi and Waterworth, Dawn M and Bergman, Richard N and Collins, Francis S and Tuomilehto, Jaakko and Watanabe, Richard M and de Geus, Eco J C and Penninx, Brenda W and Hofman, Albert and Oostra, Ben A and Psaty, Bruce M and Vollenweider, Peter and Wilson, James F and Wright, Alan F and Hovingh, G Kees and Metspalu, Andres and Uusitupa, Matti and Magnusson, Patrik K E and Kyvik, Kirsten O and Kaprio, Jaakko and Price, Jackie F and Dedoussis, George V and Deloukas, Panos and Meneton, Pierre and Lind, Lars and Boehnke, Michael and Shuldiner, Alan R and van Duijn, Cornelia M and Morris, Andrew D and Toenjes, Anke and Peyser, Patricia A and Beilby, John P and K{\"o}rner, Antje and Kuusisto, Johanna and Laakso, Markku and Bornstein, Stefan R and Schwarz, Peter E H and Lakka, Timo A and Rauramaa, Rainer and Adair, Linda S and Smith, George Davey and Spector, Tim D and Illig, Thomas and de Faire, Ulf and Hamsten, Anders and Gudnason, Vilmundur and Kivimaki, Mika and Hingorani, Aroon and Keinanen-Kiukaanniemi, Sirkka M and Saaristo, Timo E and Boomsma, Dorret I and Stefansson, Kari and van der Harst, Pim and Dupuis, Jos{\'e}e and Pedersen, Nancy L and Sattar, Naveed and Harris, Tamara B and Cucca, Francesco and Ripatti, Samuli and Salomaa, Veikko and Mohlke, Karen L and Balkau, Beverley and Froguel, Philippe and Pouta, Anneli and Jarvelin, Marjo-Riitta and Wareham, Nicholas J and Bouatia-Naji, Nabila and McCarthy, Mark I and Franks, Paul W and Meigs, James B and Teslovich, Tanya M and Florez, Jose C and Langenberg, Claudia and Ingelsson, Erik and Prokopenko, Inga and Barroso, In{\^e}s} } @article {1386, title = {Plasma fatty acid-binding protein 4, nonesterified fatty acids, and incident diabetes in older adults.}, journal = {Diabetes Care}, volume = {35}, year = {2012}, month = {2012 Aug}, pages = {1701-7}, abstract = {

OBJECTIVE: To examine the relation of fatty acid-binding protein (FABP)4 and nonesterified fatty acids (NEFAs) to diabetes in older adults.

RESEARCH DESIGN AND METHODS: We ascertained incident diabetes among 3,740 Cardiovascular Health Study participants (1992-2007) based on the use of hypoglycemic medications, fasting glucose >= 126 mg/dL, or nonfasting glucose >= 200 mg/dL. FABP4 and NEFA were measured on specimens collected between 1992 and 1993.

RESULTS: Mean age of the 3,740 subjects studied was 74.8 years. For each SD increase in log FABP4, hazard ratios (HRs) for diabetes were 1.35 (95\% CI 1.10-1.65) for women and 1.45 (1.13-1.85) for men controlling for age, race, education, physical activity, cystatin C, alcohol intake, smoking, self-reported health status, and estrogen use for women (P for sex-FABP4 interaction 0.10). BMI modified the FABP4-diabetes relation (P = 0.009 overall; 0.02 for women and 0.135 for men), in that statistically significant higher risk of diabetes was mainly seen in men with BMI <25 kg/m(2) (HR per SD: 1.78 [95\% CI 1.13-2.81]). There was a modest and nonsignificant association of NEFA with diabetes (P(trend) = 0.21). However, when restricted to the first 5 years of follow-up, multivariable-adjusted HRs for diabetes were 1.0 (ref.), 1.68 (95\% CI 1.12-2.53), and 1.63 (1.07-2.50) across consecutive tertiles of NEFA (P(trend) = 0.03).

CONCLUSIONS: Plasma FABP4 was positively associated with incident diabetes in older adults, and such association was statistically significant in lean men only. A significant positive association between plasma NEFA and incident diabetes was observed during the first 5 years of follow-up.

}, keywords = {Aged, Aged, 80 and over, Blood Glucose, Body Mass Index, Diabetes Mellitus, Fatty Acid-Binding Proteins, Fatty Acids, Nonesterified, Female, Humans, Male, Prospective Studies}, issn = {1935-5548}, doi = {10.2337/dc11-1690}, author = {Djouss{\'e}, Luc and Khawaja, Owais and Bartz, Traci M and Biggs, Mary L and Ix, Joachim H and Zieman, Susan J and Kizer, Jorge R and Tracy, Russell P and Siscovick, David S and Mukamal, Kenneth J} } @article {6080, title = {Common FABP4 genetic variants and plasma levels of fatty acid binding protein 4 in older adults.}, journal = {Lipids}, volume = {48}, year = {2013}, month = {2013 Nov}, pages = {1169-75}, abstract = {

We examined common variants in the fatty acid binding protein 4 gene (FABP4) and plasma levels of FABP4 in adults aged 65 and older from the Cardiovascular Health Study. We genotyped rs16909187, rs1054135, rs16909192, rs10808846, rs7018409, rs2290201, and rs6992708 and measured circulating FABP4 levels among 3190 European Americans and 660 African Americans. Among European Americans, the minor alleles of six single nucleotide polymorphisms (SNP) were associated with lower FABP4 levels (all p~<=~0.01). Among African Americans, the SNP with the lowest minor allele frequency was associated with lower FABP4 levels (p~=~0.015). The C-A haplotype of rs16909192 and rs2290201 was associated with lower FABP4 levels in both European Americans (frequency~=~16~\%; p~=~0.001) and African Americans (frequency~=~8~\%; p~=~0.04). The haplotype combined a SNP in the first intron with one in the 3{\textquoteright}untranslated region. However, the alleles associated with lower FABP4 levels were associated with higher fasting glucose in meta-analyses from the MAGIC consortium. These results demonstrate associations of common SNP and haplotypes in the FABP4 gene with lower plasma FABP4 but higher fasting glucose levels.

}, keywords = {African Americans, Aged, Aged, 80 and over, Blood Glucose, Body Mass Index, Cohort Studies, European Continental Ancestry Group, Fatty Acid-Binding Proteins, Female, Gene Frequency, Genetic Association Studies, Haplotypes, Humans, Insulin, Linkage Disequilibrium, Male, Polymorphism, Single Nucleotide}, issn = {1558-9307}, doi = {10.1007/s11745-013-3838-7}, author = {Mukamal, Kenneth J and Wilk, Jemma B and Biggs, Mary L and Jensen, Majken K and Ix, Joachim H and Kizer, Jorge R and Tracy, Russell P and Zieman, Susan J and Mozaffarian, Dariush and Psaty, Bruce M and Siscovick, David S and Djouss{\'e}, Luc} } @article {6290, title = {Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study.}, journal = {BMC Med Genet}, volume = {14}, year = {2013}, month = {2013 Sep 25}, pages = {98}, abstract = {

BACKGROUND: Multiple genome-wide association studies (GWAS) within European populations have implicated common genetic variants associated with insulin and glucose concentrations. In contrast, few studies have been conducted within minority groups, which carry the highest burden of impaired glucose homeostasis and type 2 diabetes in the U.S.

METHODS: As part of the {\textquoteright}Population Architecture using Genomics and Epidemiology (PAGE) Consortium, we investigated the association of up to 10 GWAS-identified single nucleotide polymorphisms (SNPs) in 8 genetic regions with glucose or insulin concentrations in up to 36,579 non-diabetic subjects including 23,323 European Americans (EA) and 7,526 African Americans (AA), 3,140 Hispanics, 1,779 American Indians (AI), and 811 Asians. We estimated the association between each SNP and fasting glucose or log-transformed fasting insulin, followed by meta-analysis to combine results across PAGE sites.

RESULTS: Overall, our results show that 9/9 GWAS SNPs are associated with glucose in EA (p = 0.04 to 9 {\texttimes} 10-15), versus 3/9 in AA (p= 0.03 to 6 {\texttimes} 10-5), 3/4 SNPs in Hispanics, 2/4 SNPs in AI, and 1/2 SNPs in Asians. For insulin we observed a significant association with rs780094/GCKR in EA, Hispanics and AI only.

CONCLUSIONS: Generalization of results across multiple racial/ethnic groups helps confirm the relevance of some of these loci for glucose and insulin metabolism. Lack of association in non-EA groups may be due to insufficient power, or to unique patterns of linkage disequilibrium.

}, keywords = {Adaptor Proteins, Signal Transducing, Adult, African Americans, Aged, Alleles, Asian Continental Ancestry Group, Blood Glucose, Diabetes Mellitus, Type 2, European Continental Ancestry Group, Female, Gene Frequency, Genetic Loci, Genome-Wide Association Study, Genomics, Hispanic Americans, Humans, Indians, North American, Insulin, Male, Middle Aged, Polymorphism, Single Nucleotide, Transcription Factor 7-Like 2 Protein}, issn = {1471-2350}, doi = {10.1186/1471-2350-14-98}, author = {Fesinmeyer, Megan D and Meigs, James B and North, Kari E and Schumacher, Fredrick R and B{\r u}zkov{\'a}, Petra and Franceschini, Nora and Haessler, Jeffrey and Goodloe, Robert and Spencer, Kylee L and Voruganti, Venkata Saroja and Howard, Barbara V and Jackson, Rebecca and Kolonel, Laurence N and Liu, Simin and Manson, JoAnn E and Monroe, Kristine R and Mukamal, Kenneth and Dilks, Holli H and Pendergrass, Sarah A and Nato, Andrew and Wan, Peggy and Wilkens, Lynne R and Le Marchand, Lo{\"\i}c and Ambite, Jose Luis and Buyske, Steven and Florez, Jose C and Crawford, Dana C and Hindorff, Lucia A and Haiman, Christopher A and Peters, Ulrike and Pankow, James S} } @article {5995, title = {Genetically elevated fetuin-A levels, fasting glucose levels, and risk of type 2 diabetes: the cardiovascular health study.}, journal = {Diabetes Care}, volume = {36}, year = {2013}, month = {2013 Oct}, pages = {3121-7}, abstract = {

OBJECTIVE: Fetuin-A levels are associated with higher risk of type 2 diabetes, but it is unknown if the association is causal. We investigated common (>5\%) genetic variants in the fetuin-A gene (AHSG) fetuin-A levels, fasting glucose, and risk of type 2 diabetes.

RESEARCH DESIGN AND METHODS: Genetic variation, fetuin-A levels, and fasting glucose were assessed in 2,893 Caucasian and 542 African American community-living individuals 65 years of age or older in 1992-1993.

RESULTS: Common AHSG variants (rs4917 and rs2248690) were strongly associated with fetuin-A concentrations (P<0.0001). In analyses of 259 incident cases of type 2 diabetes, the single nucleotide polymorphisms (SNPs) were not associated with diabetes risk during follow-up and similar null associations were observed when 579 prevalent cases were included. As expected, higher fetuin-A levels were associated with higher fasting glucose concentrations (1.9 mg/dL [95\% CI, 1.2-2.7] higher per SD in Caucasians), but Mendelian randomization analyses using both SNPs as unbiased proxies for measured fetuin-A did not support an association between genetically predicted fetuin-A levels and fasting glucose (-0.3 mg/dL [95\% CI, -1.9 to 1.3] lower per SD in Caucasians). The difference between the associations of fasting glucose with actual and genetically predicted fetuin-A level was statistically significant (P=0.001). Results among the smaller sample of African Americans trended in similar directions but were statistically insignificant.

CONCLUSIONS: Common variants in the AHSG gene are strongly associated with plasma fetuin-A concentrations, but not with risk of type 2 diabetes or glucose concentrations, raising the possibility that the association between fetuin-A and type 2 diabetes may not be causal.

}, keywords = {alpha-2-HS-Glycoprotein, Blood Glucose, Diabetes Mellitus, Type 2, Fasting, Female, Genotype, Humans, Male, Polymorphism, Single Nucleotide}, issn = {1935-5548}, doi = {10.2337/dc12-2323}, author = {Jensen, Majken K and Bartz, Traci M and Djouss{\'e}, Luc and Kizer, Jorge R and Zieman, Susan J and Rimm, Eric B and Siscovick, David S and Psaty, Bruce M and Ix, Joachim H and Mukamal, Kenneth J} } @article {5879, title = {Higher magnesium intake is associated with lower fasting glucose and insulin, with no evidence of interaction with select genetic loci, in a meta-analysis of 15 CHARGE Consortium Studies.}, journal = {J Nutr}, volume = {143}, year = {2013}, month = {2013 Mar}, pages = {345-53}, abstract = {

Favorable associations between magnesium intake and glycemic traits, such as fasting glucose and insulin, are observed in observational and clinical studies, but whether genetic variation affects these associations is largely unknown. We hypothesized that single nucleotide polymorphisms (SNPs) associated with either glycemic traits or magnesium metabolism affect the association between magnesium intake and fasting glucose and insulin. Fifteen studies from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium provided data from up to 52,684 participants of European descent without known diabetes. In fixed-effects meta-analyses, we quantified 1) cross-sectional associations of dietary magnesium intake with fasting glucose (mmol/L) and insulin (ln-pmol/L) and 2) interactions between magnesium intake and SNPs related to fasting glucose (16 SNPs), insulin (2 SNPs), or magnesium (8 SNPs) on fasting glucose and insulin. After adjustment for age, sex, energy intake, BMI, and behavioral risk factors, magnesium (per 50-mg/d increment) was inversely associated with fasting glucose [β = -0.009 mmol/L (95\% CI: -0.013, -0.005), P < 0.0001] and insulin [-0.020 ln-pmol/L (95\% CI: -0.024, -0.017), P < 0.0001]. No magnesium-related SNP or interaction between any SNP and magnesium reached significance after correction for multiple testing. However, rs2274924 in magnesium transporter-encoding TRPM6 showed a nominal association (uncorrected P = 0.03) with glucose, and rs11558471 in SLC30A8 and rs3740393 near CNNM2 showed a nominal interaction (uncorrected, both P = 0.02) with magnesium on glucose. Consistent with other studies, a higher magnesium intake was associated with lower fasting glucose and insulin. Nominal evidence of TRPM6 influence and magnesium interaction with select loci suggests that further investigation is warranted.

}, keywords = {Blood Glucose, Female, Genetic Loci, Humans, Insulin, Magnesium, Male, Polymorphism, Single Nucleotide, Trace Elements, TRPM Cation Channels}, issn = {1541-6100}, doi = {10.3945/jn.112.172049}, author = {Hruby, Adela and Ngwa, Julius S and Renstrom, Frida and Wojczynski, Mary K and Ganna, Andrea and Hallmans, G{\"o}ran and Houston, Denise K and Jacques, Paul F and Kanoni, Stavroula and Lehtim{\"a}ki, Terho and Lemaitre, Rozenn N and Manichaikul, Ani and North, Kari E and Ntalla, Ioanna and Sonestedt, Emily and Tanaka, Toshiko and van Rooij, Frank J A and Bandinelli, Stefania and Djouss{\'e}, Luc and Grigoriou, Efi and Johansson, Ingegerd and Lohman, Kurt K and Pankow, James S and Raitakari, Olli T and Riserus, Ulf and Yannakoulia, Mary and Zillikens, M Carola and Hassanali, Neelam and Liu, Yongmei and Mozaffarian, Dariush and Papoutsakis, Constantina and Syv{\"a}nen, Ann-Christine and Uitterlinden, Andr{\'e} G and Viikari, Jorma and Groves, Christopher J and Hofman, Albert and Lind, Lars and McCarthy, Mark I and Mikkil{\"a}, Vera and Mukamal, Kenneth and Franco, Oscar H and Borecki, Ingrid B and Cupples, L Adrienne and Dedoussis, George V and Ferrucci, Luigi and Hu, Frank B and Ingelsson, Erik and K{\"a}h{\"o}nen, Mika and Kao, W H Linda and Kritchevsky, Stephen B and Orho-Melander, Marju and Prokopenko, Inga and Rotter, Jerome I and Siscovick, David S and Witteman, Jacqueline C M and Franks, Paul W and Meigs, James B and McKeown, Nicola M and Nettleton, Jennifer A} } @article {6555, title = {Association of levels of fasting glucose and insulin with rare variants at the chromosome 11p11.2-MADD locus: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study.}, journal = {Circ Cardiovasc Genet}, volume = {7}, year = {2014}, month = {2014 Jun}, pages = {374-382}, abstract = {

BACKGROUND: Common variation at the 11p11.2 locus, encompassing MADD, ACP2, NR1H3, MYBPC3, and SPI1, has been associated in genome-wide association studies with fasting glucose and insulin (FI). In the Cohorts for Heart and Aging Research in Genomic Epidemiology Targeted Sequencing Study, we sequenced 5 gene regions at 11p11.2 to identify rare, potentially functional variants influencing fasting glucose or FI levels.

METHODS AND RESULTS: Sequencing (mean depth, 38{\texttimes}) across 16.1 kb in 3566 individuals without diabetes mellitus identified 653 variants, 79.9\% of which were rare (minor allele frequency <1\%) and novel. We analyzed rare variants in 5 gene regions with FI or fasting glucose using the sequence kernel association test. At NR1H3, 53 rare variants were jointly associated with FI (P=2.73{\texttimes}10(-3)); of these, 7 were predicted to have regulatory function and showed association with FI (P=1.28{\texttimes}10(-3)). Conditioning on 2 previously associated variants at MADD (rs7944584, rs10838687) did not attenuate this association, suggesting that there are >2 independent signals at 11p11.2. One predicted regulatory variant, chr11:47227430 (hg18; minor allele frequency=0.00068), contributed 20.6\% to the overall sequence kernel association test score at NR1H3, lies in intron 2 of NR1H3, and is a predicted binding site for forkhead box A1 (FOXA1), a transcription factor associated with insulin regulation. In human HepG2 hepatoma cells, the rare chr11:47227430 A allele disrupted FOXA1 binding and reduced FOXA1-dependent transcriptional activity.

CONCLUSIONS: Sequencing at 11p11.2-NR1H3 identified rare variation associated with FI. One variant, chr11:47227430, seems to be functional, with the rare A allele reducing transcription factor FOXA1 binding and FOXA1-dependent transcriptional activity.

}, keywords = {Aged, Aged, 80 and over, Aging, Blood Glucose, Chromosomes, Human, Pair 11, Cohort Studies, Death Domain Receptor Signaling Adaptor Proteins, Diabetes Mellitus, Type 2, Fasting, Female, Gene Frequency, Genetic Variation, Genome-Wide Association Study, Genomics, Guanine Nucleotide Exchange Factors, Heart Diseases, Humans, Insulin, Male, Middle Aged, Polymorphism, Single Nucleotide, Sequence Analysis, DNA}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.113.000169}, author = {Cornes, Belinda K and Brody, Jennifer A and Nikpoor, Naghmeh and Morrison, Alanna C and Chu, Huan and Ahn, Byung Soo and Wang, Shuai and Dauriz, Marco and Barzilay, Joshua I and Dupuis, Jos{\'e}e and Florez, Jose C and Coresh, Josef and Gibbs, Richard A and Kao, W H Linda and Liu, Ching-Ti and McKnight, Barbara and Muzny, Donna and Pankow, James S and Reid, Jeffrey G and White, Charles C and Johnson, Andrew D and Wong, Tien Y and Psaty, Bruce M and Boerwinkle, Eric and Rotter, Jerome I and Siscovick, David S and Sladek, Robert and Meigs, James B} } @article {6270, title = {Sleep duration does not mediate or modify association of common genetic variants with type 2 diabetes.}, journal = {Diabetologia}, volume = {57}, year = {2014}, month = {2014 Feb}, pages = {339-46}, abstract = {

AIMS/HYPOTHESIS: Short and long sleep duration are associated with increased risk of type 2 diabetes. We aimed to investigate whether genetic variants for fasting glucose or type 2 diabetes associate with short or long sleep duration and whether sleep duration modifies the association of genetic variants with these traits.

METHODS: We examined the cross-sectional relationship between self-reported habitual sleep duration and prevalence of type 2 diabetes in individuals of European descent participating in five studies included in the Candidate Gene Association Resource (CARe), totalling 1,474 cases and 8,323 controls. We tested for association of 16 fasting glucose-associated variants, 27 type 2 diabetes-associated variants and aggregate genetic risk scores with continuous and dichotomised (<=5~h or >=9~h) sleep duration using regression models adjusted for age, sex and BMI. Finally, we tested whether a gene {\texttimes} behaviour interaction of variants with sleep duration had an impact on fasting glucose or type 2 diabetes risk.

RESULTS: Short sleep duration was significantly associated with type 2 diabetes in CARe (OR 1.32; 95\% CI 1.08, 1.61; p = 0.008). Variants previously associated with fasting glucose or type 2 diabetes and genetic risk scores were not associated with sleep duration. Furthermore, no study-wide significant interaction was observed between sleep duration and these variants on glycaemic traits. Nominal interactions were observed for sleep duration and PPARG rs1801282, CRY2 rs7943320 and HNF1B rs4430796 in influencing risk of type 2 diabetes (p < 0.05).

CONCLUSIONS/INTERPRETATION: Our findings suggest that differences in habitual sleep duration do not mediate or modify the relationship between common variants underlying glycaemic traits (including in circadian rhythm genes) and diabetes.

}, keywords = {Blood Glucose, Body Composition, Body Mass Index, Cross-Sectional Studies, Diabetes Mellitus, Type 2, European Continental Ancestry Group, Fasting, Female, Genetic Predisposition to Disease, Genetic Variation, Genotype, Glucose Intolerance, Glycated Hemoglobin A, Humans, Insulin Resistance, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors, Sleep, Surveys and Questionnaires, Time Factors, United States}, issn = {1432-0428}, doi = {10.1007/s00125-013-3110-y}, author = {Tare, Archana and Lane, Jacqueline M and Cade, Brian E and Grant, Struan F A and Chen, Ting-Hsu and Punjabi, Naresh M and Lauderdale, Diane S and Zee, Phyllis C and Gharib, Sina A and Gottlieb, Daniel J and Scheer, Frank A J L and Redline, Susan and Saxena, Richa} } @article {6805, title = {Associations between metabolic dysregulation and circulating biomarkers of fibrosis: the Cardiovascular Health Study.}, journal = {Metabolism}, volume = {64}, year = {2015}, month = {2015 Oct}, pages = {1316-23}, abstract = {

AIM: Fibrosis is one postulated pathway by which diabetes produces cardiac and other systemic complications. Our aim was to determine which metabolic parameters are associated with circulating fibrosis-related biomarkers transforming growth factor-β (TGF-β) and procollagen type III N-terminal propeptide (PIIINP).

METHODS: We used linear regression to determine the cross-sectional associations of diverse metabolic parameters, including fasting glucose, fasting insulin, body mass index, fatty acid binding protein 4, and non-esterified fatty acids, with circulating levels of TGF-β (n = 1559) and PIIINP (n = 3024) among community-living older adults in the Cardiovascular Health Study.

RESULTS: Among the main metabolic parameters we examined, only fasting glucose was associated with TGF-β (P = 0.03). In contrast, multiple metabolic parameters were associated with PIIINP, including fasting insulin, body mass index, and non-esterified fatty acids (P<0.001, P<0.001, P=0.001, respectively). These associations remained statistically significant after mutual adjustment, except the association between BMI and PIIINP.

CONCLUSIONS: Isolated hyperglycemia is associated with higher serum concentrations of TGF-β, while a broader phenotype of insulin resistance is associated with higher serum PIIINP. Whether simultaneous pharmacologic targeting of these two metabolic phenotypes can synergistically reduce the risk of cardiac and other manifestations of fibrosis remains to be determined.

}, keywords = {Aged, Aged, 80 and over, Biomarkers, Blood Glucose, Cardiovascular System, Cross-Sectional Studies, Diabetes Complications, Diabetes Mellitus, Fatty Acids, Nonesterified, Female, Fibrosis, Health, Humans, Insulin, Insulin Resistance, Male, Metabolic Diseases, Peptide Fragments, Procollagen, Transforming Growth Factor beta}, issn = {1532-8600}, doi = {10.1016/j.metabol.2015.07.013}, author = {Agarwal, Isha and Glazer, Nicole L and Barasch, Eddy and Djouss{\'e}, Luc and Gottdiener, John S and Ix, Joachim H and Kizer, Jorge R and Rimm, Eric B and Siscovick, David S and King, George L and Mukamal, Ken J} } @article {6737, title = {Changes in insulin-like growth factor-I and its binding proteins are associated with diabetes mellitus in older adults.}, journal = {J Am Geriatr Soc}, volume = {63}, year = {2015}, month = {2015 May}, pages = {902-9}, abstract = {

OBJECTIVES: To determine whether changes in insulin-like growth factor (IGF) protein levels are greater in participants with type 2 diabetes mellitus or worsening glycemia than in normoglycemic individuals over a 9-year follow-up period.

DESIGN: Retrospective analysis of a cohort study.

SETTING: Participants were recruited from North Carolina, California, Maryland, and Pennsylvania.

PARTICIPANTS: Cardiovascular Health Study All Stars participants, a cohort study of community-dwelling adults aged 65 and older (N=897).

MEASUREMENTS: Plasma IGF-I, IGF binding protein (IGFBP)-1, and IGFBP-3 levels were assessed and American Diabetes Association cut-points for impaired glucose tolerance (IGT), impaired fasting glucose (IFG), and diabetes mellitus were used to classify participants at baseline (1996-97) and follow-up (2005-06).

RESULTS: At baseline, mean age was 76.3{\textpm}3.6, and 18.5\% had diabetes mellitus. Participants with IFG alone and IGT plus IFG had higher IGF-I levels and lower IGFBP-1 levels than those with normoglycemia or diabetes mellitus. The greatest percentage change in IGF levels occurred in those who had diabetes mellitus at baseline (9-year changes: -9.3\% for IGF-I, 59.7\% for IGFBP-1, -13.4\% for IGFBP-3), the smallest in individuals who remained normoglycemic at follow-up (9-year changes: -3.7\% for IGF-I, 25.6\% for IGFBP-1, -6.4\% for IGFBP-3), and intermediate in those who were normoglycemic but developed IFG at follow-up.

CONCLUSION: Degrees of glycemic impairment are associated with varying degrees of change in IGF protein levels. The changes observed in the diabetes mellitus group have been previously shown to be associated with heart failure, cancer, and noncancer mortality.

}, keywords = {Aged, Blood Glucose, Cohort Studies, Diabetes Mellitus, Type 2, Female, Humans, Insulin-Like Growth Factor Binding Protein 1, Insulin-Like Growth Factor Binding Protein 3, Insulin-Like Growth Factor I, Male, Retrospective Studies}, issn = {1532-5415}, doi = {10.1111/jgs.13390}, author = {Aneke-Nash, Chino S and Parrinello, Christina M and Rajpathak, Swapnil N and Rohan, Thomas E and Strotmeyer, Elsa S and Kritchevsky, Stephen B and Psaty, Bruce M and B{\r u}zkov{\'a}, Petra and Kizer, Jorge R and Newman, Anne B and Strickler, Howard D and Kaplan, Robert C} } @article {6844, title = {Consumption of meat is associated with higher fasting glucose and insulin concentrations regardless of glucose and insulin genetic risk scores: a meta-analysis of 50,345 Caucasians.}, journal = {Am J Clin Nutr}, volume = {102}, year = {2015}, month = {2015 Nov}, pages = {1266-78}, abstract = {

BACKGROUND: Recent studies suggest that meat intake is associated with diabetes-related phenotypes. However, whether the associations of meat intake and glucose and insulin homeostasis are modified by genes related to glucose and insulin is unknown.

OBJECTIVE: We investigated the associations of meat intake and the interaction of meat with genotype on fasting glucose and insulin concentrations in Caucasians free of diabetes mellitus.

DESIGN: Fourteen studies that are part of the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium participated in the analysis. Data were provided for up to 50,345 participants. Using linear regression within studies and a fixed-effects meta-analysis across studies, we examined 1) the associations of processed meat and unprocessed red meat intake with fasting glucose and insulin concentrations; and 2) the interactions of processed meat and unprocessed red meat with genetic risk score related to fasting glucose or insulin resistance on fasting glucose and insulin concentrations.

RESULTS: Processed meat was associated with higher fasting glucose, and unprocessed red meat was associated with both higher fasting glucose and fasting insulin concentrations after adjustment for potential confounders [not including body mass index (BMI)]. For every additional 50-g serving of processed meat per day, fasting glucose was 0.021 mmol/L (95\% CI: 0.011, 0.030 mmol/L) higher. Every additional 100-g serving of unprocessed red meat per day was associated with a 0.037-mmol/L (95\% CI: 0.023, 0.051-mmol/L) higher fasting glucose concentration and a 0.049-ln-pmol/L (95\% CI: 0.035, 0.063-ln-pmol/L) higher fasting insulin concentration. After additional adjustment for BMI, observed associations were attenuated and no longer statistically significant. The association of processed meat and fasting insulin did not reach statistical significance after correction for multiple comparisons. Observed associations were not modified by genetic loci known to influence fasting glucose or insulin resistance.

CONCLUSION: The association of higher fasting glucose and insulin concentrations with meat consumption was not modified by an index of glucose- and insulin-related single-nucleotide polymorphisms. Six of the participating studies are registered at clinicaltrials.gov as NCT0000513 (Atherosclerosis Risk in Communities), NCT00149435 (Cardiovascular Health Study), NCT00005136 (Family Heart Study), NCT00005121 (Framingham Heart Study), NCT00083369 (Genetics of Lipid Lowering Drugs and Diet Network), and NCT00005487 (Multi-Ethnic Study of Atherosclerosis).

}, keywords = {Blood Glucose, Cohort Studies, Genetic Association Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Hyperglycemia, Hyperinsulinism, Insulin, Insulin Resistance, Insulin-Secreting Cells, Meat, Meat Products, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1938-3207}, doi = {10.3945/ajcn.114.101238}, author = {Fretts, Amanda M and Follis, Jack L and Nettleton, Jennifer A and Lemaitre, Rozenn N and Ngwa, Julius S and Wojczynski, Mary K and Kalafati, Ioanna Panagiota and Varga, Tibor V and Frazier-Wood, Alexis C and Houston, Denise K and Lahti, Jari and Ericson, Ulrika and van den Hooven, Edith H and Mikkil{\"a}, Vera and Kiefte-de Jong, Jessica C and Mozaffarian, Dariush and Rice, Kenneth and Renstrom, Frida and North, Kari E and McKeown, Nicola M and Feitosa, Mary F and Kanoni, Stavroula and Smith, Caren E and Garcia, Melissa E and Tiainen, Anna-Maija and Sonestedt, Emily and Manichaikul, Ani and van Rooij, Frank J A and Dimitriou, Maria and Raitakari, Olli and Pankow, James S and Djouss{\'e}, Luc and Province, Michael A and Hu, Frank B and Lai, Chao-Qiang and Keller, Margaux F and Per{\"a}l{\"a}, Mia-Maria and Rotter, Jerome I and Hofman, Albert and Graff, Misa and K{\"a}h{\"o}nen, Mika and Mukamal, Kenneth and Johansson, Ingegerd and Ordovas, Jose M and Liu, Yongmei and M{\"a}nnist{\"o}, Satu and Uitterlinden, Andr{\'e} G and Deloukas, Panos and Sepp{\"a}l{\"a}, Ilkka and Psaty, Bruce M and Cupples, L Adrienne and Borecki, Ingrid B and Franks, Paul W and Arnett, Donna K and Nalls, Mike A and Eriksson, Johan G and Orho-Melander, Marju and Franco, Oscar H and Lehtim{\"a}ki, Terho and Dedoussis, George V and Meigs, James B and Siscovick, David S} } @article {6927, title = {Gene-Environment Interactions of Circadian-Related Genes for Cardiometabolic Traits.}, journal = {Diabetes Care}, volume = {38}, year = {2015}, month = {2015 Aug}, pages = {1456-66}, abstract = {

OBJECTIVE: Common circadian-related gene variants associate with increased risk for metabolic alterations including type 2 diabetes. However, little is known about whether diet and sleep could modify associations between circadian-related variants (CLOCK-rs1801260, CRY2-rs11605924, MTNR1B-rs1387153, MTNR1B-rs10830963, NR1D1-rs2314339) and cardiometabolic traits (fasting glucose [FG], HOMA-insulin resistance, BMI, waist circumference, and HDL-cholesterol) to facilitate personalized recommendations.

RESEARCH DESIGN AND METHODS: We conducted inverse-variance weighted, fixed-effect meta-analyses of results of adjusted associations and interactions between dietary intake/sleep duration and selected variants on cardiometabolic traits from 15 cohort studies including up to 28,190 participants of European descent from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium.

RESULTS: We observed significant associations between relative macronutrient intakes and glycemic traits and short sleep duration (<7 h) and higher FG and replicated known MTNR1B associations with glycemic traits. No interactions were evident after accounting for multiple comparisons. However, we observed nominally significant interactions (all P < 0.01) between carbohydrate intake and MTNR1B-rs1387153 for FG with a 0.003 mmol/L higher FG with each additional 1\% carbohydrate intake in the presence of the T allele, between sleep duration and CRY2-rs11605924 for HDL-cholesterol with a 0.010 mmol/L higher HDL-cholesterol with each additional hour of sleep in the presence of the A allele, and between long sleep duration (>=9 h) and MTNR1B-rs1387153 for BMI with a 0.60 kg/m(2) higher BMI with long sleep duration in the presence of the T allele relative to normal sleep duration (>=7 to <9 h).

CONCLUSIONS: Our results suggest that lower carbohydrate intake and normal sleep duration may ameliorate cardiometabolic abnormalities conferred by common circadian-related genetic variants. Until further mechanistic examination of the nominally significant interactions is conducted, recommendations applicable to the general population regarding diet{\textemdash}specifically higher carbohydrate and lower fat composition{\textemdash}and normal sleep duration should continue to be emphasized among individuals with the investigated circadian-related gene variants.

}, keywords = {Adult, Alleles, Blood Glucose, Circadian Rhythm Signaling Peptides and Proteins, Cohort Studies, Diabetes Mellitus, Type 2, Diet, Fat-Restricted, European Continental Ancestry Group, Fasting, Female, Gene-Environment Interaction, Humans, Insulin Resistance, Male, Middle Aged, Multicenter Studies as Topic, Observational Studies as Topic, Phenotype, Polymorphism, Single Nucleotide, Sleep, Waist Circumference}, issn = {1935-5548}, doi = {10.2337/dc14-2709}, author = {Dashti, Hassan S and Follis, Jack L and Smith, Caren E and Tanaka, Toshiko and Garaulet, Marta and Gottlieb, Daniel J and Hruby, Adela and Jacques, Paul F and Kiefte-de Jong, Jessica C and Lamon-Fava, Stefania and Scheer, Frank A J L and Bartz, Traci M and Kovanen, Leena and Wojczynski, Mary K and Frazier-Wood, Alexis C and Ahluwalia, Tarunveer S and Per{\"a}l{\"a}, Mia-Maria and Jonsson, Anna and Muka, Taulant and Kalafati, Ioanna P and Mikkil{\"a}, Vera and Ordovas, Jose M} } @article {6686, title = {Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility.}, journal = {Nat Commun}, volume = {6}, year = {2015}, month = {2015}, pages = {5897}, abstract = {

Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4\%) with lower FG (β=-0.09{\textpm}0.01 mmol l(-1), P=3.4 {\texttimes} 10(-12)), T2D risk (OR[95\%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07{\textpm}0.035 pmolinsulin mmolglucose(-1), P=0.048), but higher 2-h glucose (β=0.16{\textpm}0.05 mmol l(-1), P=4.3 {\texttimes} 10(-4)). We identify a gene-based association with FG at G6PC2 (pSKAT=6.8 {\texttimes} 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20\%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02{\textpm}0.004 mmol l(-1), P=1.3 {\texttimes} 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.

}, keywords = {African Continental Ancestry Group, Blood Glucose, Diabetes Mellitus, Type 2, European Continental Ancestry Group, Exome, Fasting, Genetic Association Studies, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Glucagon-Like Peptide-1 Receptor, Glucose-6-Phosphatase, Humans, Insulin, Mutation Rate, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide}, issn = {2041-1723}, doi = {10.1038/ncomms6897}, author = {Wessel, Jennifer and Chu, Audrey Y and Willems, Sara M and Wang, Shuai and Yaghootkar, Hanieh and Brody, Jennifer A and Dauriz, Marco and Hivert, Marie-France and Raghavan, Sridharan and Lipovich, Leonard and Hidalgo, Bertha and Fox, Keolu and Huffman, Jennifer E and An, Ping and Lu, Yingchang and Rasmussen-Torvik, Laura J and Grarup, Niels and Ehm, Margaret G and Li, Li and Baldridge, Abigail S and Stan{\v c}{\'a}kov{\'a}, Alena and Abrol, Ravinder and Besse, C{\'e}line and Boland, Anne and Bork-Jensen, Jette and Fornage, Myriam and Freitag, Daniel F and Garcia, Melissa E and Guo, Xiuqing and Hara, Kazuo and Isaacs, Aaron and Jakobsdottir, Johanna and Lange, Leslie A and Layton, Jill C and Li, Man and Hua Zhao, Jing and Meidtner, Karina and Morrison, Alanna C and Nalls, Mike A and Peters, Marjolein J and Sabater-Lleal, Maria and Schurmann, Claudia and Silveira, Angela and Smith, Albert V and Southam, Lorraine and Stoiber, Marcus H and Strawbridge, Rona J and Taylor, Kent D and Varga, Tibor V and Allin, Kristine H and Amin, Najaf and Aponte, Jennifer L and Aung, Tin and Barbieri, Caterina and Bihlmeyer, Nathan A and Boehnke, Michael and Bombieri, Cristina and Bowden, Donald W and Burns, Sean M and Chen, Yuning and Chen, Yii-DerI and Cheng, Ching-Yu and Correa, Adolfo and Czajkowski, Jacek and Dehghan, Abbas and Ehret, Georg B and Eiriksdottir, Gudny and Escher, Stefan A and Farmaki, Aliki-Eleni and Fr{\r a}nberg, Mattias and Gambaro, Giovanni and Giulianini, Franco and Goddard, William A and Goel, Anuj and Gottesman, Omri and Grove, Megan L and Gustafsson, Stefan and Hai, Yang and Hallmans, G{\"o}ran and Heo, Jiyoung and Hoffmann, Per and Ikram, Mohammad K and Jensen, Richard A and J{\o}rgensen, Marit E and J{\o}rgensen, Torben and Karaleftheri, Maria and Khor, Chiea C and Kirkpatrick, Andrea and Kraja, Aldi T and Kuusisto, Johanna and Lange, Ethan M and Lee, I T and Lee, Wen-Jane and Leong, Aaron and Liao, Jiemin and Liu, Chunyu and Liu, Yongmei and Lindgren, Cecilia M and Linneberg, Allan and Malerba, Giovanni and Mamakou, Vasiliki and Marouli, Eirini and Maruthur, Nisa M and Matchan, Angela and McKean-Cowdin, Roberta and McLeod, Olga and Metcalf, Ginger A and Mohlke, Karen L and Muzny, Donna M and Ntalla, Ioanna and Palmer, Nicholette D and Pasko, Dorota and Peter, Andreas and Rayner, Nigel W and Renstrom, Frida and Rice, Ken and Sala, Cinzia F and Sennblad, Bengt and Serafetinidis, Ioannis and Smith, Jennifer A and Soranzo, Nicole and Speliotes, Elizabeth K and Stahl, Eli A and Stirrups, Kathleen and Tentolouris, Nikos and Thanopoulou, Anastasia and Torres, Mina and Traglia, Michela and Tsafantakis, Emmanouil and Javad, Sundas and Yanek, Lisa R and Zengini, Eleni and Becker, Diane M and Bis, Joshua C and Brown, James B and Cupples, L Adrienne and Hansen, Torben and Ingelsson, Erik and Karter, Andrew J and Lorenzo, Carlos and Mathias, Rasika A and Norris, Jill M and Peloso, Gina M and Sheu, Wayne H-H and Toniolo, Daniela and Vaidya, Dhananjay and Varma, Rohit and Wagenknecht, Lynne E and Boeing, Heiner and Bottinger, Erwin P and Dedoussis, George and Deloukas, Panos and Ferrannini, Ele and Franco, Oscar H and Franks, Paul W and Gibbs, Richard A and Gudnason, Vilmundur and Hamsten, Anders and Harris, Tamara B and Hattersley, Andrew T and Hayward, Caroline and Hofman, Albert and Jansson, Jan-H{\r a}kan and Langenberg, Claudia and Launer, Lenore J and Levy, Daniel and Oostra, Ben A and O{\textquoteright}Donnell, Christopher J and O{\textquoteright}Rahilly, Stephen and Padmanabhan, Sandosh and Pankow, James S and Polasek, Ozren and Province, Michael A and Rich, Stephen S and Ridker, Paul M and Rudan, Igor and Schulze, Matthias B and Smith, Blair H and Uitterlinden, Andr{\'e} G and Walker, Mark and Watkins, Hugh and Wong, Tien Y and Zeggini, Eleftheria and Laakso, Markku and Borecki, Ingrid B and Chasman, Daniel I and Pedersen, Oluf and Psaty, Bruce M and Tai, E Shyong and van Duijn, Cornelia M and Wareham, Nicholas J and Waterworth, Dawn M and Boerwinkle, Eric and Kao, W H Linda and Florez, Jose C and Loos, Ruth J F and Wilson, James G and Frayling, Timothy M and Siscovick, David S and Dupuis, Jos{\'e}e and Rotter, Jerome I and Meigs, James B and Scott, Robert A and Goodarzi, Mark O} } @article {6400, title = {Potassium and glucose measures in older adults: the Cardiovascular Health Study.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {70}, year = {2015}, month = {2015 Feb}, pages = {255-61}, abstract = {

BACKGROUND: We sought to determine the impacts of serum and dietary potassium measures on glucose metabolism and diabetes risk in older adults.

METHODS: Among participants of the Cardiovascular Health Study, a community-based cohort of older American adults, we examined a) cross-sectional associations between potassium and measures of insulin sensitivity and secretion estimated from oral glucose tolerance tests and b) longitudinal associations of serum and dietary potassium with diabetes risk.

RESULTS: Among 4,754 participants aged >=65 years at baseline, there were 445 cases of incident diabetes during a median follow-up of 12 years. In multivariate models, baseline serum and dietary potassium were both associated with lower insulin sensitivity and greater insulin secretion. Compared with those with a serum potassium >=4.5 mEq/L, participants with a serum potassium <4.0mEq/L had an adjusted mean difference in Matsuda insulin sensitivity index of -0.18 (-0.39, 0.02). Compared with those in the highest quartile, participants in the lowest quartile of dietary potassium intake had a corresponding adjusted mean difference in Matsuda insulin sensitivity index of -0.61 (-0.94, -0.29). In multivariate models, neither serum nor dietary potassium intake was associated with long-term diabetes risk.

CONCLUSIONS: Although we did not identify serum and dietary potassium as risk factors for incident diabetes in older adults, results from cross-sectional analyses suggest that both may be associated with increased insulin resistance. This relationship with insulin resistance needs to be confirmed, and its importance on diabetes risk, cardiovascular risk, and conditions specific to older adults should be determined as well.

}, keywords = {Aged, Blood Glucose, Cohort Studies, Cross-Sectional Studies, Diabetes Mellitus, Female, Humans, Insulin, Insulin Resistance, Longitudinal Studies, Male, Multivariate Analysis, Potassium, Potassium, Dietary, Risk Factors, United States}, issn = {1758-535X}, doi = {10.1093/gerona/glu071}, author = {Chatterjee, Ranee and Biggs, Mary L and de Boer, Ian H and Brancati, Frederick L and Svetkey, Laura P and Barzilay, Joshua and Djouss{\'e}, Luc and Ix, Joachim H and Kizer, Jorge R and Siscovick, David S and Mozaffarian, Dariush and Edelman, David and Mukamal, Kenneth J} } @article {6854, title = {Sleep Disturbances and Glucose Metabolism in Older Adults: The Cardiovascular Health Study.}, journal = {Diabetes Care}, volume = {38}, year = {2015}, month = {2015 Nov}, pages = {2050-8}, abstract = {

OBJECTIVE: We examined the associations of symptoms of sleep-disordered breathing (SDB), which was defined as loud snoring, stopping breathing for a while during sleep, and daytime sleepiness, and insomnia with glucose metabolism and incident type 2 diabetes in older adults.

RESEARCH DESIGN AND METHODS: Between 1989 and 1993, the Cardiovascular Health Study recruited 5,888 participants >=65 years of age from four U.S. communities. Participants reported SDB and insomnia symptoms yearly through 1989-1994. In 1989-1990, participants underwent an oral glucose tolerance test, from which insulin secretion and insulin sensitivity were estimated. Fasting glucose levels were measured in 1989-1990 and again in 1992-1993, 1994-1995, 1996-1997, and 1998-1999, and medication use was ascertained yearly. We determined the cross-sectional associations of sleep symptoms with fasting glucose levels, 2-h glucose levels, insulin sensitivity, and insulin secretion using generalized estimated equations and linear regression models. We determined the associations of updated and averaged sleep symptoms with incident diabetes in Cox proportional hazards models. We adjusted for sociodemographics, lifestyle factors, and medical history.

RESULTS: Observed apnea, snoring, and daytime sleepiness were associated with higher fasting glucose levels, higher 2-h glucose levels, lower insulin sensitivity, and higher insulin secretion. The risk of the development of type 2 diabetes was positively associated with observed apnea (hazard ratio [HR] 1.84 [95\% CI 1.19-2.86]), snoring (HR 1.27 [95\% CI 0.95-1.71]), and daytime sleepiness (HR 1.54 [95\% CI 1.13-2.12]). In contrast, we did not find consistent associations between insomnia symptoms and glucose metabolism or incident type 2 diabetes.

CONCLUSIONS: Easily collected symptoms of SDB are strongly associated with insulin resistance and the incidence of type 2 diabetes in older adults. Monitoring glucose metabolism in such patients may prove useful in identifying candidates for lifestyle or pharmacological therapy. Further studies are needed to determine whether insomnia symptoms affect the risk of diabetes in younger adults.

}, keywords = {Adult, Aged, Blood Glucose, Cardiovascular System, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Fasting, Female, Glucose Tolerance Test, Humans, Incidence, Insulin, Insulin Resistance, Male, Middle Aged, Sleep Apnea Syndromes, Sleep Initiation and Maintenance Disorders, Snoring, United States}, issn = {1935-5548}, doi = {10.2337/dc15-0137}, author = {Strand, Linn Beate and Carnethon, Mercedes and Biggs, Mary Lou and Djouss{\'e}, Luc and Kaplan, Robert C and Siscovick, David S and Robbins, John A and Redline, Susan and Patel, Sanjay R and Janszky, Imre and Mukamal, Kenneth J} } @article {6850, title = {Relations of Postload and Fasting Glucose With Incident Cardiovascular Disease and Mortality Late in Life: The Cardiovascular Health Study.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {71}, year = {2016}, month = {2016 Mar}, pages = {370-7}, abstract = {

BACKGROUND: Older adults have a high prevalence of postload hyperglycemia. Postload glucose has shown more robust associations with cardiovascular disease (CVD) and death than fasting glucose, but data in the oldest old are sparse.

METHODS: Fasting and 2-hour postload glucose were measured in community-dwelling older adults, mean age 78, at the 1996-1997 follow-up visit of the Cardiovascular Health Study. We evaluated their associations with atherosclerotic CVD (ASCVD) and mortality using standard Cox regression and competing-risks analyses and assessed improvement in prediction-model discrimination with the c-statistic.

RESULTS: Among 2,394 participants without treated diabetes and available data on glycemic measures, there were 579 ASCVD events and 1,698 deaths during median follow-up of 11.2 years. In fully adjusted models, both fasting and 2-hour glucose were associated with ASCVD (HR per SD, 1.13 [1.03-1.25] and 1.17 [1.07-1.28], respectively) and all-cause mortality (HR 1.12 [1.07-1.18] and 1.14 [1.08-1.20]). After mutual adjustment, however, the associations for fasting glucose with both outcomes were abolished, but those for postload glucose were largely unchanged. Consistent findings were observed for ASCVD in competing-risks models.

CONCLUSION: In adults surviving to advanced old age, postload glucose was associated with ASCVD and mortality independently of fasting glucose, but fasting glucose was not associated with these outcomes independently of postload glucose. These findings affirm the robust association of postload glucose with ASCVD and death late in life.

}, keywords = {Aged, Aging, Blood Glucose, Cardiovascular Diseases, Fasting, Female, Follow-Up Studies, Glucose, Glucose Tolerance Test, Health Surveys, Humans, Incidence, Male, Proportional Hazards Models, Prospective Studies, Risk Assessment, Risk Factors, Survival Rate, United States}, issn = {1758-535X}, doi = {10.1093/gerona/glv106}, author = {Brutsaert, Erika F and Shitole, Sanyog and Biggs, Mary Lou and Mukamal, Kenneth J and deBoer, Ian H and Thacker, Evan L and Barzilay, Joshua I and Djouss{\'e}, Luc and Ix, Joachim H and Smith, Nicholas L and Kaplan, Robert C and Siscovick, David S and Psaty, Bruce M and Kizer, Jorge R} } @article {6932, title = {Study of Cardiovascular Health Outcomes in the Era of Claims Data: The Cardiovascular Health Study.}, journal = {Circulation}, volume = {133}, year = {2016}, month = {2016 Jan 12}, pages = {156-64}, abstract = {

BACKGROUND: Increasingly, the diagnostic codes from administrative claims data are being used as clinical outcomes.

METHODS AND RESULTS: Data from the Cardiovascular Health Study (CHS) were used to compare event rates and risk factor associations between adjudicated hospitalized cardiovascular events and claims-based methods of defining events. The outcomes of myocardial infarction (MI), stroke, and heart failure were defined in 3 ways: the CHS adjudicated event (CHS[adj]), selected International Classification of Diseases, Ninth Edition diagnostic codes only in the primary position for Medicare claims data from the Center for Medicare \& Medicaid Services (CMS[1st]), and the same selected diagnostic codes in any position (CMS[any]). Conventional claims-based methods of defining events had high positive predictive values but low sensitivities. For instance, the positive predictive value of International Classification of Diseases, Ninth Edition code 410.x1 for a new acute MI in the first position was 90.6\%, but this code identified only 53.8\% of incident MIs. The observed event rates for CMS[1st] were low. For MI, the incidence was 14.9 events per 1000 person-years for CHS[adj] MI, 8.6 for CMS[1st] MI, and 12.2 for CMS[any] MI. In general, cardiovascular disease risk factor associations were similar across the 3 methods of defining events. Indeed, traditional cardiovascular disease risk factors were also associated with all first hospitalizations not resulting from an MI.

CONCLUSIONS: The use of diagnostic codes from claims data as clinical events, especially when restricted to primary diagnoses, leads to an underestimation of event rates. Additionally, claims-based events data represent a composite end point that includes the outcome of interest and selected (misclassified) nonevent hospitalizations.

}, keywords = {Blood Glucose, Cardiovascular Diseases, Female, Follow-Up Studies, Health Surveys, Hospitalization, Hospitals, Veterans, Humans, Insurance Claim Review, International Classification of Diseases, Lipids, Male, Managed Care Programs, Medicare, Risk Factors, Sampling Studies, Treatment Outcome, United States}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.115.018610}, author = {Psaty, Bruce M and Delaney, Joseph A and Arnold, Alice M and Curtis, Lesley H and Fitzpatrick, Annette L and Heckbert, Susan R and McKnight, Barbara and Ives, Diane and Gottdiener, John S and Kuller, Lewis H and Longstreth, W T} } @article {7547, title = {The Association Between IGF-I and IGFBP-3 and Incident Diabetes in an Older Population of Men and Women in the Cardiovascular Health Study.}, journal = {J Clin Endocrinol Metab}, volume = {102}, year = {2017}, month = {2017 Dec 01}, pages = {4541-4547}, abstract = {

Context: Insulin-like growth factor-I (IGF-I) has structural and functional similarities to insulin and may play a role in glucose homeostasis, along with insulin-like growth factor binding protein-3 (IGFBP-3), which binds the majority of circulating IGF-I.

Objective: To assess whether IGF-I and IGFBP-3 are associated with a higher risk of incident diabetes in older adults.

Design: Participants in the Cardiovascular Health Study (n = 3133), a cohort of adults aged >=65 years, were observed for 16 years (n = 3133) for the development of incident diabetes. Statistical models were fit separately for men and women because of interactions with sex (P interaction: IGF-I, 0.02; IGFBP-3, 0.009) and were adjusted for relevant covariates.

Setting: General community.

Participants: Older adults who were nondiabetic at baseline and who did not develop diabetes within the first year of follow-up.

Interventions: Not applicable.

Main Outcome Measure: Incident diabetes as measured by fasting plasma glucose (FPG) >=126 mg/dL, non-FPG >=200 mg/dL, use of pharmacological treatment of diabetes, or existence of two or more inpatient or three or more outpatient or (at least one inpatient and at least one outpatient) Centers for Medicare \& Medicaid Services claims with the diagnostic International Classification of Diseases, Ninth Revision, Clinical Modification code of 250.xx.

Results: In women, higher IGFBP-3 (hazard ratio tertile 3 vs tertile 1 = 2.30; 95\% confidence interval, 1.55 to 3.40; P trend < 0.0001) was significantly associated with incident diabetes. Total IGF-I was not significantly associated with incident diabetes. In men, neither IGF-I nor IGFBP-3 was significantly associated with incident diabetes.

Conclusions: We confirmed a previously reported association between circulating IGFBP-3 and diabetes risk in the older adult population, establishing that this association is present among women but could not be shown to be associated in men.

}, keywords = {Aged, Aged, 80 and over, Biomarkers, Blood Glucose, Cardiovascular Diseases, Cohort Studies, Diabetes Mellitus, Female, Humans, Incidence, Insulin-Like Growth Factor Binding Protein 3, Insulin-Like Growth Factor I, Longitudinal Studies, Male, New England, Prospective Studies, Risk}, issn = {1945-7197}, doi = {10.1210/jc.2017-01273}, author = {Aneke-Nash, Chino S and Xue, XiaoNan and Qi, Qibin and Biggs, Mary L and Cappola, Anne and Kuller, Lewis and Pollak, Michael and Psaty, Bruce M and Siscovick, David and Mukamal, Kenneth and Strickler, Howard D and Kaplan, Robert C} } @article {8539, title = {Metabolic Clusters and Outcomes in Older Adults: The Cardiovascular Health Study.}, journal = {J Am Geriatr Soc}, volume = {66}, year = {2018}, month = {2018 02}, pages = {289-296}, abstract = {

BACKGROUND/OBJECTIVES: Few studies have the requisite phenotypic information to define metabolic patterns that may inform our understanding of the pathophysiology and consequences of diabetes in older adults. We sought to characterize clusters of older adults on the basis of shared metabolic features.

DESIGN: Population-based prospective cohort study.

SETTING: Four U.S. Cardiovascular Health Study field centers.

PARTICIPANTS: Individuals aged 65 and older taking no glucose-lowering agents (N~=~2,231).

MEASUREMENTS: K-means cluster analysis of 11 metabolic parameters (fasting and postload serum glucose and plasma insulin, fasting C-peptide, body mass index, C-reactive protein (CRP), estimated glomerular filtration rate (eGFR), albuminuria, carboxymethyl lysine (an advanced glycation end-product), procollagen III N-terminal propeptide (a fibrotic marker)) and their associations with incident cardiovascular disease, diabetes, disability, and mortality over 8 to 14.5~years of follow-up and with measures of subclinical cardiovascular disease.

RESULTS: A 6-cluster solution provided robust differentiation into distinct, identifiable clusters. Cluster A (n~=~739) had the lowest glucose and insulin and highest eGFR and the lowest rates of all outcomes. Cluster B (n~=~419) had high glucose and insulin and intermediate rates of most outcomes. Cluster C (n~=~118) had the highest insulin. Cluster D (n~=~129) had the highest glucose with much lower insulin. Cluster E (n~=~314) had the lowest eGFR and highest albuminuria. Cluster F (n~=~512) had the highest CRP. Rates of CVD, mortality, and subclinical atherosclerosis were highest in clusters C, D, and E and were similar to rates in participants with treated diabetes. Incidence of disability was highest in Cluster C.

CONCLUSION: Clustering according to metabolic parameters identifies distinct phenotypes that are strongly associated with clinical and functional outcomes, even at advanced age.

}, keywords = {Aged, Aged, 80 and over, Blood Glucose, C-Reactive Protein, Cardiovascular Diseases, Diabetes Mellitus, Female, Glomerular Filtration Rate, Humans, Incidence, Insulin, Longitudinal Studies, Male, Prospective Studies, Risk Factors, United States}, issn = {1532-5415}, doi = {10.1111/jgs.15205}, author = {Mukamal, Kenneth J and Siscovick, David S and de Boer, Ian H and Ix, Joachim H and Kizer, Jorge R and Djouss{\'e}, Luc and Fitzpatrick, Annette L and Tracy, Russell P and Boyko, Edward J and Kahn, Steven E and Arnold, Alice M} } @article {9155, title = {The Association of Measures of Cardiovascular Autonomic Function, Heart Rate, and Orthostatic Hypotension With Incident Glucose Disorders: The Cardiovascular Health Study.}, journal = {Diabetes Care}, volume = {45}, year = {2022}, month = {2022 10 01}, pages = {2376-2382}, abstract = {

OBJECTIVE: The autonomic nervous system (ANS) innervates pancreatic endocrine cells, muscle, and liver, all of which participate in glucose metabolism. We tested whether measures of cardiovascular ANS function are independently associated with incident diabetes and annual change in fasting glucose (FG) levels as well as with insulin secretion and insulin sensitivity in older adults without diabetes.

RESEARCH DESIGN AND METHODS: Heart rate (HR) and measures of HR variability (HRV) were derived from 24-h electrocardiographic monitoring. Blood pressure, seated and standing, was measured. Cox proportional hazards models and linear mixed models were used to analyze the associations between HRV, HR, and orthostatic hypotension (SBP >20 mmHg decline) and incident diabetes or longitudinal FG change.

RESULTS: The mean annual unadjusted FG change was 1 mg/dL. Higher detrended fluctuation analyses (DFA) values, averaged over 4-11 (DFA1) or 12-20 beats (DFA2)-reflecting greater versus less organization of beat-to-beat intervals-were associated with less FG increase over time (per 1-SD increment: DFA1: -0.49 mg/dL/year [-0.96, -0.03]; DFA2: -0.55 mg/dL/year [-1.02, -0.09]). In mutually adjusted analyses, higher SD of the N-N interval (SDNN) was associated with less FG increase over time (per 1-SD increment: SDNN: -0.62 mg/dL/year [-1.22, -0.03]). Higher values of DFA1, DFA2, and SDNN were each associated with greater insulin secretion and insulin sensitivity but not with incident diabetes. We observed no association of HR or orthostatic hypotension with diabetes or FG change.

CONCLUSIONS: Specific measures of cardiac autonomic function are prospectively related to FG level changes and insulin secretion and action.

}, keywords = {Aged, Autonomic Nervous System, Blood Glucose, Diabetes Mellitus, Glucose, Heart Rate, Humans, Hypotension, Orthostatic, Insulin Resistance}, issn = {1935-5548}, doi = {10.2337/dc22-0553}, author = {Barzilay, Joshua I and Tressel, William and Biggs, Mary L and Stein, Phyllis K and Kizer, Jorge R and Shitole, Sanyog G and Bene-Alhasan, Yakubu and Mukamal, Kenneth J} } @article {9295, title = {Fasting and Postload Nonesterified Fatty Acids and Glucose Dysregulation in Older Adults.}, journal = {Am J Epidemiol}, volume = {191}, year = {2022}, month = {2022 Jun 27}, pages = {1235-1247}, abstract = {

To evaluate the association of nonesterified fatty acids (NEFA) with dysglycemia in older adults, NEFA levels were measured among participants in the Cardiovascular Health Study (United States; enrolled 1989-1993). Associations with insulin sensitivity and pancreatic β-cell function, and with incident type 2 diabetes mellitus (DM), were examined. The sample comprised 2,144 participants (aged 77.9 (standard deviation, 4.5) years). Participant data from the Cardiovascular Health Study visit in 1996-1997 was used with prospective follow-up through 2010. Fasting and postload NEFA showed significant associations with lower insulin sensitivity and pancreatic β-cell function, individually and on concurrent adjustment. Over median follow-up of 9.7 years, 236 cases of DM occurred. Postload NEFA were associated with risk of DM (per standard deviation, hazard ratio~= 1.18, 95\% confidence interval: 1.08, 1.29), but fasting NEFA were not (hazard ratio~= 1.12, 95\% confidence interval: 0.97, 1.29). The association for postload NEFA persisted after adjustment for putative intermediates, and after adjustment for fasting NEFA. Sex and body mass index modified these associations, which were stronger for fasting NEFA with DM in men but were accentuated for postload NEFA in women and among leaner individuals. Fasting and postload NEFA were related to lower insulin sensitivity and pancreatic β-cell function, but only postload NEFA were associated with increased DM. Additional study into NEFA metabolism could uncover novel potential targets for diabetes prevention in elders.

}, keywords = {Aged, Blood Glucose, Diabetes Mellitus, Type 2, Fasting, Fatty Acids, Nonesterified, Female, Glucose, Humans, Insulin, Insulin Resistance, Male, Prospective Studies}, issn = {1476-6256}, doi = {10.1093/aje/kwac044}, author = {Shitole, Sanyog G and Biggs, Mary L and Ix, Joachim H and Fretts, Amanda M and Tracy, Russell P and Siscovick, David S and Djouss{\'e}, Luc and Mukamal, Kenneth J and Kizer, Jorge R} } @article {8975, title = {Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes.}, journal = {Am J Hum Genet}, volume = {109}, year = {2022}, month = {2022 01 06}, pages = {81-96}, abstract = {

Large-scale gene sequencing studies for complex traits have the potential to identify causal genes with therapeutic implications. We performed gene-based association testing of blood lipid levels with rare (minor allele frequency < 1\%) predicted damaging coding variation by using sequence data from >170,000 individuals from multiple ancestries: 97,493 European, 30,025 South Asian, 16,507 African, 16,440 Hispanic/Latino, 10,420 East Asian, and 1,182 Samoan. We identified 35 genes associated with circulating lipid levels; some of these genes have not been previously associated with lipid levels when using rare coding variation from population-based samples. We prioritize 32 genes in array-based genome-wide association study (GWAS) loci based on aggregations of rare coding variants; three (EVI5, SH2B3, and PLIN1) had no prior association of rare coding variants with lipid levels. Most of our associated genes showed evidence of association among multiple ancestries. Finally, we observed an enrichment of gene-based associations for low-density lipoprotein cholesterol drug target genes and for genes closest to GWAS index single-nucleotide polymorphisms (SNPs). Our results demonstrate that gene-based associations can be beneficial for drug target development and provide evidence that the gene closest to the array-based GWAS index SNP is often the functional gene for blood lipid levels.

}, keywords = {Alleles, Blood Glucose, Case-Control Studies, Computational Biology, Databases, Genetic, Diabetes Mellitus, Type 2, Exome, Genetic Predisposition to Disease, Genetic Variation, Genetics, Population, Genome-Wide Association Study, Humans, Lipid Metabolism, Lipids, Liver, Molecular Sequence Annotation, Multifactorial Inheritance, Open Reading Frames, Phenotype, Polymorphism, Single Nucleotide}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2021.11.021}, author = {Hindy, George and Dornbos, Peter and Chaffin, Mark D and Liu, Dajiang J and Wang, Minxian and Selvaraj, Margaret Sunitha and Zhang, David and Park, Joseph and Aguilar-Salinas, Carlos A and Antonacci-Fulton, Lucinda and Ardissino, Diego and Arnett, Donna K and Aslibekyan, Stella and Atzmon, Gil and Ballantyne, Christie M and Barajas-Olmos, Francisco and Barzilai, Nir and Becker, Lewis C and Bielak, Lawrence F and Bis, Joshua C and Blangero, John and Boerwinkle, Eric and Bonnycastle, Lori L and Bottinger, Erwin and Bowden, Donald W and Bown, Matthew J and Brody, Jennifer A and Broome, Jai G and Burtt, Noel P and Cade, Brian E and Centeno-Cruz, Federico and Chan, Edmund and Chang, Yi-Cheng and Chen, Yii-der I and Cheng, Ching-Yu and Choi, Won Jung and Chowdhury, Rajiv and Contreras-Cubas, Cecilia and C{\'o}rdova, Emilio J and Correa, Adolfo and Cupples, L Adrienne and Curran, Joanne E and Danesh, John and de Vries, Paul S and DeFronzo, Ralph A and Doddapaneni, Harsha and Duggirala, Ravindranath and Dutcher, Susan K and Ellinor, Patrick T and Emery, Leslie S and Florez, Jose C and Fornage, Myriam and Freedman, Barry I and Fuster, Valentin and Garay-Sevilla, Ma Eugenia and Garc{\'\i}a-Ortiz, Humberto and Germer, Soren and Gibbs, Richard A and Gieger, Christian and Glaser, Benjamin and Gonzalez, Clicerio and Gonzalez-Villalpando, Maria Elena and Graff, Mariaelisa and Graham, Sarah E and Grarup, Niels and Groop, Leif C and Guo, Xiuqing and Gupta, Namrata and Han, Sohee and Hanis, Craig L and Hansen, Torben and He, Jiang and Heard-Costa, Nancy L and Hung, Yi-Jen and Hwang, Mi Yeong and Irvin, Marguerite R and Islas-Andrade, Sergio and Jarvik, Gail P and Kang, Hyun Min and Kardia, Sharon L R and Kelly, Tanika and Kenny, Eimear E and Khan, Alyna T and Kim, Bong-Jo and Kim, Ryan W and Kim, Young Jin and Koistinen, Heikki A and Kooperberg, Charles and Kuusisto, Johanna and Kwak, Soo Heon and Laakso, Markku and Lange, Leslie A and Lee, Jiwon and Lee, Juyoung and Lee, Seonwook and Lehman, Donna M and Lemaitre, Rozenn N and Linneberg, Allan and Liu, Jianjun and Loos, Ruth J F and Lubitz, Steven A and Lyssenko, Valeriya and Ma, Ronald C W and Martin, Lisa Warsinger and Mart{\'\i}nez-Hern{\'a}ndez, Ang{\'e}lica and Mathias, Rasika A and McGarvey, Stephen T and McPherson, Ruth and Meigs, James B and Meitinger, Thomas and Melander, Olle and Mendoza-Caamal, Elvia and Metcalf, Ginger A and Mi, Xuenan and Mohlke, Karen L and Montasser, May E and Moon, Jee-Young and Moreno-Macias, Hortensia and Morrison, Alanna C and Muzny, Donna M and Nelson, Sarah C and Nilsson, Peter M and O{\textquoteright}Connell, Jeffrey R and Orho-Melander, Marju and Orozco, Lorena and Palmer, Colin N A and Palmer, Nicholette D and Park, Cheol Joo and Park, Kyong Soo and Pedersen, Oluf and Peralta, Juan M and Peyser, Patricia A and Post, Wendy S and Preuss, Michael and Psaty, Bruce M and Qi, Qibin and Rao, D C and Redline, Susan and Reiner, Alexander P and Revilla-Monsalve, Cristina and Rich, Stephen S and Samani, Nilesh and Schunkert, Heribert and Schurmann, Claudia and Seo, Daekwan and Seo, Jeong-Sun and Sim, Xueling and Sladek, Rob and Small, Kerrin S and So, Wing Yee and Stilp, Adrienne M and Tai, E Shyong and Tam, Claudia H T and Taylor, Kent D and Teo, Yik Ying and Thameem, Farook and Tomlinson, Brian and Tsai, Michael Y and Tuomi, Tiinamaija and Tuomilehto, Jaakko and Tusi{\'e}-Luna, Teresa and Udler, Miriam S and van Dam, Rob M and Vasan, Ramachandran S and Viaud Martinez, Karine A and Wang, Fei Fei and Wang, Xuzhi and Watkins, Hugh and Weeks, Daniel E and Wilson, James G and Witte, Daniel R and Wong, Tien-Yin and Yanek, Lisa R and Kathiresan, Sekar and Rader, Daniel J and Rotter, Jerome I and Boehnke, Michael and McCarthy, Mark I and Willer, Cristen J and Natarajan, Pradeep and Flannick, Jason A and Khera, Amit V and Peloso, Gina M} }