Related Experiment Video
Updated: May 25, 2026

Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty
Published on: July 24, 2013
Frailty transitions in the San Antonio Longitudinal Study of Aging
Sara E Espinoza1, Inkyung Jung, Helen Hazuda
1Department of Medicine, Division of Geriatrics, Gerontology and Palliative Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA. espinozas2@uthscsa.edu
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.
Related Concept Videos
Longitudinal Research
The Effect of Aging on Tissues
Aging
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
Pharmacodynamics in Geriatric Patients: Effects of Age
Cognitive Development During Adulthood
Longitudinal Studies

