@article {1506, title = {Health effects of caregiving: the caregiver health effects study: an ancillary study of the Cardiovascular Health Study.}, journal = {Ann Behav Med}, volume = {19}, year = {1997}, month = {1997 Spring}, pages = {110-6}, abstract = {

We propose that two related sources of variability in studies of caregiving health effects contribute to an inconsistent pattern of findings: the sampling strategy used and the definition of what constitutes caregiving. Samples are often recruited through self-referral and are typically comprised of caregivers experiencing considerable distress. In this study, we examine the health effects of caregiving in large population-based samples of spousal caregivers and controls using a wide array of objective and self-report physical and mental health outcome measures. By applying different definitions of caregiving, we show that the magnitude of health effects attributable to caregiving can vary substantially, with the largest negative health effects observed among caregivers who characterize themselves as being strained. From an epidemiological perspective, our data show that approximately 80\% of persons living with a spouse with a disability provide care to their spouse, but only half of care providers report mental or physical strain associated with caregiving.

}, keywords = {Activities of Daily Living, Aged, Arousal, Cardiovascular Diseases, Caregivers, Cerebrovascular Disorders, Coronary Disease, Cost of Illness, Female, Geriatric Assessment, Health Behavior, Health Status, Humans, Male, Psychophysiologic Disorders, Risk Factors, Spouses, Stress, Psychological}, issn = {0883-6612}, doi = {10.1007/BF02883327}, author = {Schulz, R and Newsom, J and Mittelmark, M and Burton, L and Hirsch, C and Jackson, S} } @article {656, title = {The association of bone mineral density and depression in an older population.}, journal = {J Am Geriatr Soc}, volume = {49}, year = {2001}, month = {2001 Jun}, pages = {732-6}, abstract = {

OBJECTIVE: To evaluate the association between bone mineral density (BMD) and measurements of depression in an older population.

DESIGN: Population-based, cross-sectional study.

SETTING: Study subjects were participants in the Cardiovascular Health Study (CHS), a longitudinal, long-term, follow-up study, at the University of California Davis (Sacramento, California) and the University of Pittsburgh (Pittsburgh, Pennsylvania) clinical centers.

PARTICIPANTS: A random sample of 1,566 Medicare enrollees age 65 and older enrolled in the CHS.

MEASUREMENTS: Total hip BMD, measured using dual energy x-ray absorptiometry (DEXA), after adjustment for multiple covariates, was compared with depression evaluated with the Center for Epidemiological Studies 10-item Depression Scale (CES-Dm). Risk factors for osteoporosis were compared in depressed and nondepressed participants. Potential correlates were entered into a regression model. Depression scores were compared in normal, osteopenic, and osteoporotic individuals.

RESULTS: Sixteen percent of participants were clinically depressed; 9\% had BMDs in the osteoporotic range. Mean BMD was 40 mg/cm2 lower in those with clinical depression. High CES-Dm scores were associated with lower BMD (P < .001) when adjusted for body mass index (BMI), age, kilocalories of activity, estrogen use, gender, race, smoking and drinking. When stratified by race, this remained true for all Caucasians (P < .01), all African Americans (P < .05), and when stratified by race and gender the association remained only for all Caucasian women (P < .001). In women and Caucasian men there was an increase in depression scores among individuals with osteoporotic-range BMDs.

CONCLUSIONS: A significant association was found between BMD and depressive symptoms after adjustment for osteoporosis risk factors. In Caucasians, depressive symptoms were associated with both osteoporotic and osteopenic levels of BMD. Causality cannot be ascribed, with only one measurement of BMD. We postulate that there may be an unmeasured third factor, such as an endogenous steroid, that is responsible for both low BMD and depression.

}, keywords = {Absorptiometry, Photon, Aged, Analysis of Variance, Black People, Body Mass Index, Bone Density, Bone Diseases, Metabolic, California, Cross-Sectional Studies, Depression, Energy Metabolism, Exercise, Female, Follow-Up Studies, Fractures, Bone, Humans, Linear Models, Male, Osteoporosis, Pennsylvania, Population Surveillance, Psychiatric Status Rating Scales, Radionuclide Imaging, Risk Factors, Sex Distribution, Single-Blind Method, White People}, issn = {0002-8614}, doi = {10.1046/j.1532-5415.2001.49149.x}, author = {Robbins, J and Hirsch, C and Whitmer, R and Cauley, J and Harris, T} } @article {639, title = {Frailty in older adults: evidence for a phenotype.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {56}, year = {2001}, month = {2001 Mar}, pages = {M146-56}, abstract = {

BACKGROUND: Frailty is considered highly prevalent in old age and to confer high risk for falls, disability, hospitalization, and mortality. Frailty has been considered synonymous with disability, comorbidity, and other characteristics, but it is recognized that it may have a biologic basis and be a distinct clinical syndrome. A standardized definition has not yet been established.

METHODS: To develop and operationalize a phenotype of frailty in older adults and assess concurrent and predictive validity, the study used data from the Cardiovascular Health Study. Participants were 5,317 men and women 65 years and older (4,735 from an original cohort recruited in 1989-90 and 582 from an African American cohort recruited in 1992-93). Both cohorts received almost identical baseline evaluations and 7 and 4 years of follow-up, respectively, with annual examinations and surveillance for outcomes including incident disease, hospitalization, falls, disability, and mortality.

RESULTS: Frailty was defined as a clinical syndrome in which three or more of the following criteria were present: unintentional weight loss (10 lbs in past year), self-reported exhaustion, weakness (grip strength), slow walking speed, and low physical activity. The overall prevalence of frailty in this community-dwelling population was 6.9\%; it increased with age and was greater in women than men. Four-year incidence was 7.2\%. Frailty was associated with being African American, having lower education and income, poorer health, and having higher rates of comorbid chronic diseases and disability. There was overlap, but not concordance, in the cooccurrence of frailty, comorbidity, and disability. This frailty phenotype was independently predictive (over 3 years) of incident falls, worsening mobility or ADL disability, hospitalization, and death, with hazard ratios ranging from 1.82 to 4.46, unadjusted, and 1.29-2.24, adjusted for a number of health, disease, and social characteristics predictive of 5-year mortality. Intermediate frailty status, as indicated by the presence of one or two criteria, showed intermediate risk of these outcomes as well as increased risk of becoming frail over 3-4 years of follow-up (odds ratios for incident frailty = 4.51 unadjusted and 2.63 adjusted for covariates, compared to those with no frailty criteria at baseline).

CONCLUSIONS: This study provides a potential standardized definition for frailty in community-dwelling older adults and offers concurrent and predictive validity for the definition. It also finds that there is an intermediate stage identifying those at high risk of frailty. Finally, it provides evidence that frailty is not synonymous with either comorbidity or disability, but comorbidity is an etiologic risk factor for, and disability is an outcome of, frailty. This provides a potential basis for clinical assessment for those who are frail or at risk, and for future research to develop interventions for frailty based on a standardized ascertainment of frailty.

}, keywords = {Aged, Aged, 80 and over, Cohort Studies, Disabled Persons, Fatigue, Female, Frail Elderly, Humans, Incidence, Male, Muscle Weakness, Phenotype, Prevalence, Sex Distribution, United States, Weight Loss}, issn = {1079-5006}, doi = {10.1093/gerona/56.3.m146}, author = {Fried, L P and Tangen, C M and Walston, J and Newman, A B and Hirsch, C and Gottdiener, J and Seeman, T and Tracy, R and Kop, W J and Burke, G and McBurnie, M A} } @article {653, title = {Involvement in caregiving and adjustment to death of a spouse: findings from the caregiver health effects study.}, journal = {JAMA}, volume = {285}, year = {2001}, month = {2001 Jun 27}, pages = {3123-9}, abstract = {

CONTEXT: Most deaths in the United States occur among older persons who have 1 or more disabling conditions. As a result, many deaths are preceded by an extended period during which family members provide care to their disabled relative.

OBJECTIVE: To better understand the effect of bereavement on family caregivers by examining predeath vs postdeath changes in self-reported and objective health outcomes among elderly persons providing varying levels of care prior to their spouse{\textquoteright}s death.

DESIGN AND SETTING: Prospective, population-based cohort study conducted in 4 US communities between 1993 and 1998.

PARTICIPANTS: One hundred twenty-nine individuals aged 66 to 96 years whose spouse died during an average 4-year follow-up. Individuals were classified as noncaregivers (n = 40), caregivers who reported no strain (n = 37), or strained caregivers (n = 52).

MAIN OUTCOME MEASURES: Changes in depression symptoms (assessed by the 10-item Center for Epidemiological Studies-Depression [CES-D] scale), antidepressant medication use, 6 health risk behaviors, and weight among the 3 groups of participants.

RESULTS: Controlling for age, sex, race, education, prevalent cardiovascular disease at baseline, and interval between predeath and postdeath assessments, CES-D scores remained high but did not change among strained caregivers (9.44 vs 9.19; P =.76), while these scores increased for both noncaregivers (4.74 vs 8.25; F(1,116) = 14.33; P<.001) and nonstrained caregivers (4.94 vs 7.13; F(1,116) = 4.35; P =.04). Noncaregivers were significantly more likely to be using nontricyclic antidepressant medications following the death than the nonstrained caregiver group (odds ratio [OR], 12.85; 95\% confidence interval [CI], 1.02-162.13; P =.05). The strained caregiver group experienced significant improvement in health risk behaviors following the death of their spouse (1.47 vs 0.66 behaviors; F(1,118) = 20.23; P<.001), while the noncaregiver and nonstrained caregiver groups showed little change (0.27 vs 0.27 [P =.99] and 0.46 vs 0.27 [P =.39] behaviors, respectively). Noncaregivers experienced significant weight loss following the death (149.1 vs 145.3 lb [67.1 vs 65.4 kg]; F(1,101) = 8.12; P =.005), while the strained and nonstrained caregiving groups did not show significant weight change (156.2 vs 155.2 lb [70.3 vs 69.8 kg] [P =.41] and 156.2 vs 154.0 lb [70.3 vs 69.3 kg] [P =.12], respectively).

CONCLUSIONS: These data indicate that the impact of losing one{\textquoteright}s spouse among older persons varies as a function of the caregiving experiences that precede the death. Among individuals who are already strained prior to the death of their spouse, the death itself does not increase their level of distress. Instead, they show reductions in health risk behaviors. Among noncaregivers, losing one{\textquoteright}s spouse results in increased depression and weight loss.

}, keywords = {Aged, Aged, 80 and over, Antidepressive Agents, Bereavement, Caregivers, Death, Depression, Female, Follow-Up Studies, Health Behavior, Humans, Male, Socioeconomic Factors, Spouses, Weight Loss}, issn = {0098-7484}, doi = {10.1001/jama.285.24.3123}, author = {Schulz, R and Beach, S R and Lind, B and Martire, L M and Zdaniuk, B and Hirsch, C and Jackson, S and Burton, L} }