How Neighborhood Structural and Individual Characteristics Affect Frailty Progression: Evidence from the China Health and Retirement Longitudinal Study

Objectives (1) To characterize the average trajectories of frailty over time in Chinese community-dwelling older adults; (2) To assess the effects of neighborhood structural and individual characteristics on frailty progression. Design A nationally representative prospective cohort study. Setting Co...

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Bibliographic Details
Published in:The Journal of nutrition, health & aging health & aging, 2023-05, Vol.27 (5), p.362-370
Main Authors: Ge, F., Kwon, Soonman
Format: Article
Language:English
Subjects:
Aged
Aging
China - epidemiology
Environmental health
Female
Frail Elderly
Frailty
Frailty - epidemiology
Geriatrics/Gerontology
Health risks
Humans
Longitudinal Studies
Male
Medicine
Medicine & Public Health
Neighborhoods
Neurosciences
Nutrition
Older people
Original Research
Primary Care Medicine
Prospective Studies
Quality of Life Research
Retirement
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Summary:Objectives (1) To characterize the average trajectories of frailty over time in Chinese community-dwelling older adults; (2) To assess the effects of neighborhood structural and individual characteristics on frailty progression. Design A nationally representative prospective cohort study. Setting Communities in 28 provinces, China. Participants 6238 respondents aged 60 and above in 447 communities from four waves of the China Health and Retirement Longitudinal Study. Measurements Frailty was measured using the 61-item Frailty Index (FI). Results The trajectory of FI was nonlinear, with an average growth rate of 0.025 that significantly slows down at the rate of 0.002 per year. Older, male, and uninsured respondents showed faster rates of growth in FI over time than younger, female, and insured counterparts. Respondents living in neighborhoods with a higher percentage of the older population and rural villages showed slower rates of growth in FI over time. Conclusion Expanding health insurance coverage and keeping a high clustering of the elderly in neighborhoods may be the potential strategies for population-level frailty prevention and interventions.
ISSN:1279-7707
1760-4788
DOI:10.1007/s12603-023-1916-1