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Frailty transitions in the San Antonio Longitudinal Study of Aging

Title
Frailty transitions in the San Antonio Longitudinal Study of Aging
Authors
Sara E. Espinoza;Inkyung Jung;Helen Hazuda
Issue Date
2012
Journal Title
Journal of the American Geriatics Society
ISSN
0002-8614
Citation
Journal of the American Geriatics Society, Vol.60(4) : 652~660, 2012
Abstract
OBJECTIVES: To examine frailty transitions in Mexican American (MA) and European American (EA) older adults. DESIGN: Longitudinal, observational cohort study. SETTING: Socioeconomically diverse neighborhoods in San Antonio, Texas. PARTICIPANTS: Three hundred twelve MA and 285 EA community-dwelling older adults (≥ 65) with frailty information at baseline (1992-1996) and transition information at follow-up (2000/01) in the San Antonio Longitudinal Study of Aging. MEASUREMENTS: Five frailty characteristics (weight loss, exhaustion, weakness, slowness, and low physical activity), frailty score (0-5), and overall frailty state (nonfrail = 0 characteristics, prefrail = 1 or 2, frail = ≥ 3) were assessed at baseline. Transitions (progressed, regressed, or no change) were assessed for frailty score and state. Odds ratios (ORs) of progression and regression in individual characteristics were estimated using generalized estimating equations adjusted for age, sex, ethnic group, socioeconomic status, comorbidity, diabetes, and follow-up interval. RESULTS: Diabetes mellitus with macrovascular complications (OR = 1.84, 95% confidence interval (CI) = 1.02-3.33), fewer years of education (OR = 0.96, 95% CI = 0.93-1.0) and follow-up interval (OR = 1.3, 95% CI = 1.17-1.46) were significant predictors of progression in any frailty characteristic. Mortality increased with greater frailty state, and prefrail individuals were more likely than frail individuals to regress. CONCLUSION: Diabetes mellitus with macrovascular complications and fewer years of education are important predictors of progression in any frailty characteristic. Because of greater risk of death than for the nonfrail state and greater likelihood of regression than for the frail state, the prefrail state may be an optimal target for intervention.
URI

http://ir.ymlib.yonsei.ac.kr/handle/22282913/91127
DOI
10.1111/j.1532-5415.2011.03882.x
Appears in Collections:
1. 연구논문 > 1. College of Medicine > Dept. of Biostatistics
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