@article {1442, title = {Age-related trends in cardiovascular morbidity and physical functioning in the elderly: the Cardiovascular Health Study.}, journal = {J Am Geriatr Soc}, volume = {41}, year = {1993}, month = {1993 Oct}, pages = {1047-56}, abstract = {

OBJECTIVE: To describe relationships between age and sub-clinical cardiovascular disease, manifest chronic disease, and physical functioning and limitations among persons aged 65 years and older, with emphasis on the "oldest old," those 85 years and older.

DESIGN: Observational population-based study.

SETTING: Four U.S. communities: Forsyth County, North Carolina; Sacramento County, California; Washington County, Maryland; and Pittsburgh, Pennsylvania.

PARTICIPANTS: 5,201 men and women aged 65 years and older.

MEASUREMENTS: Demographic data; histories of cardiovascular disease (CVD), chronic lung disease, arthritis, diabetes, and hypertension; measures of subclinical disease including arm and ankle blood pressures, internal carotid wall thickness and stenosis, ejection fraction, left ventricular mass, fractional shortening, and diastolic function, electrocardiographic left ventricular hypertrophy and cardiac injury score, forced expiratory flow and volume; functional status including self-reported physical functioning, hearing and sight limitations and health status, and performance-based measures of function. These variables were examined among men and women in three age groups: 65-74 years, 75-84 years, and 85 + years. Subgroups of participants with and without manifest CVD were also examined.

MAIN RESULTS: In women, the prevalence of CVD and other chronic conditions increased with age, and the highest rates occurred among those 85 years and older. In men, prevalence rates increased between the two younger groups, but the oldest group had lower than expected rates for coronary heart disease, cerebrovascular disease, hypertension, and chronic lung disease. In contrast, there were strong age-related linear trends in most of the subclinical measures of blood pressure, atherosclerosis and pulmonary function and in virtually all measures of functional status in both gender groups across the age range. There was a particularly marked decline in functional status between the two older age groups. While subclinical disease was greater and functional status was poorer among those with manifest CVD, with few exceptions, age-related trends were not significantly different between the two groups.

CONCLUSIONS: Lower than expected prevalence rates of CVD among those aged 85 years and older, particularly among men, in this study of community-dwelling elderly may represent selection bias or a real plateauing in disease prevalence with age. However, subclinical disease appears to increase and functional status to decline across the age range in both men and women regardless of the presence of CVD. The apparent increase in subclinical disease with age indicates potential for CVD prevention after age 65.

}, keywords = {Activities of Daily Living, Age Distribution, Aged, Aged, 80 and over, Cardiovascular Diseases, Female, Humans, Male, Prevalence, Sex Distribution, Socioeconomic Factors}, issn = {0002-8614}, author = {Bild, D E and Fitzpatrick, A and Fried, L P and Wong, N D and Haan, M N and Lyles, M and Bovill, E and Polak, J F and Schulz, R} } @article {618, title = {Association between depression and mortality in older adults: the Cardiovascular Health Study.}, journal = {Arch Intern Med}, volume = {160}, year = {2000}, month = {2000 Jun 26}, pages = {1761-8}, abstract = {

BACKGROUND: Studies of the association between depressive symptoms and mortality in elderly populations have yielded contradictory findings. To address these discrepancies, we test this association using the most extensive array of sociodemographic and physical health control variables ever studied, to our knowledge, in a large population-based sample of elderly individuals.

OBJECTIVE: To examine the relation between baseline depressive symptoms and 6-year all-cause mortality in older persons, systematically controlling for sociodemographic factors, clinical disease, subclinical disease, and health risk factors.

METHODS: A total of 5201 men and women aged 65 years and older from 4 US communities participated in the study. Depressive symptoms and 4 categories of covariates were assessed at baseline. The primary outcome measure was 6-year mortality.

RESULTS: Of the 5201 participants, 984 (18.9\%) died within 6 years. High baseline depressive symptoms were associated with a higher mortality rate (23.9\%) than low baseline depression scores (17.7\%) (unadjusted relative risk [RR], 1.41; 95\% confidence interval [CI], 1.22-1.63). Depression was also an independent predictor of mortality when controlling for sociodemographic factors (RR, 1.43; 95\% CI, 1.23-1.66), prevalent clinical disease (RR, 1.25; 95\% CI, 1.07-1.45), subclinical disease indicators (RR, 1.35; 95\% CI, 1.15-1.58), or biological or behavioral risk factors (RR, 1.42; 95\% CI, 1.22-1.65). When the best predictors from all 4 classes of variables were included as covariates, high depressive symptoms remained an independent predictor of mortality (RR, 1.24; 95\% CI, 1.06-1.46).

CONCLUSIONS: High levels of depressive symptoms are an independent risk factor for mortality in community-residing older adults. Motivational depletion may be a key underlying mechanism for the depression-mortality effect.

}, keywords = {Aged, Alcohol Drinking, Depression, Depressive Disorder, Female, Health Status Indicators, Humans, Male, Motivation, Prevalence, Risk Factors, Smoking, Socioeconomic Factors, United States}, issn = {0003-9926}, doi = {10.1001/archinte.160.12.1761}, author = {Schulz, R and Beach, S R and Ives, D G and Martire, L M and Ariyo, A A and Kop, W J} } @article {657, title = {Area characteristics and individual-level socioeconomic position indicators in three population-based epidemiologic studies.}, journal = {Ann Epidemiol}, volume = {11}, year = {2001}, month = {2001 Aug}, pages = {395-405}, abstract = {

PURPOSE: There is growing interest in incorporating area indicators into epidemiologic analyses. Using data from the 1990 U.S. Census linked to individual-level data from three epidemiologic studies, we investigated how different area indicators are interrelated, how measures for different sized areas compare, and the relation between area and individual-level social position indicators.

METHODS: The interrelations between 13 area indicators of wealth/income, education, occupation, and other socioenvironmental characteristics were investigated using correlation coefficients and factor analyses. The extent to which block-group measures provide information distinct from census tract measures was investigated using intraclass correlation coefficients. Loglinear models were used to investigate associations between area and individual-level indicators.

RESULTS: Correlations between area measures were generally in the 0.5--0.8 range. In factor analyses, six indicators of income/wealth, education, and occupation loaded on one factor in most geographic sites. Correlations between block-group and census tract measures were high (correlation coefficients 0.85--0.96). Most of the variability in block-group indicators was between census tracts (intraclass correlation coefficients 0.72--0.92). Although individual-level and area indicators were associated, there was evidence of important heterogeneity in area of residence within individual-level income or education categories. The strength of the association between individual and area measures was similar in the three studies and in whites and blacks, but blacks were much more likely to live in more disadvantaged areas than whites.

CONCLUSIONS: Area measures of wealth/income, education, and occupation are moderately to highly correlated. Differences between using census tract or block-group measures in contextual investigations are likely to be relatively small. Area and individual-level indicators are far from perfectly correlated and provide complementary information on living circumstances. Differences in the residential environments of blacks and whites may need to be taken into account in interpreting race differences in epidemiologic studies.

}, keywords = {Adult, Black or African American, Cardiovascular Diseases, Demography, Educational Status, Factor Analysis, Statistical, Humans, Income, Linear Models, Occupations, Risk Factors, Social Class, Social Environment, Socioeconomic Factors, Statistics, Nonparametric, United States, White People}, issn = {1047-2797}, doi = {10.1016/s1047-2797(01)00221-6}, author = {Diez-Roux, A V and Kiefe, C I and Jacobs, D R and Haan, M and Jackson, S A and Nieto, F J and Paton, C C and Schulz, R} }