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邻里结构和个体特征如何影响衰弱的进展:来自中国健康与养老追踪调查的证据。

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

机构信息

Soonman Kwon, Seoul National University Graduate School of Public Health, Seoul, Republic of Korea,

出版信息

J Nutr Health Aging. 2023;27(5):362-370. doi: 10.1007/s12603-023-1916-1.

DOI:10.1007/s12603-023-1916-1
PMID:37248760
Abstract

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.

摘要

目的

(1) 描述中国社区居住的老年人虚弱的平均轨迹随时间的变化;(2) 评估邻里结构和个体特征对虚弱进展的影响。

设计

一项全国代表性的前瞻性队列研究。

地点

中国 28 个省的社区。

参与者

来自中国健康与退休纵向研究的四个波次中,447 个社区的 6238 名年龄在 60 岁及以上的应答者。

测量

使用 61 项虚弱指数(FI)来测量虚弱。

结果

FI 的轨迹是非线性的,平均增长率为 0.025,每年以 0.002 的速度显著放缓。与年轻、女性和有保险的对应者相比,年龄较大、男性和没有保险的应答者的 FI 随时间增长的速度更快。居住在老年人比例较高和农村社区的应答者的 FI 随时间增长的速度较慢。

结论

扩大医疗保险覆盖范围并保持社区中老年人的高度聚集可能是针对人群水平虚弱的预防和干预的潜在策略。

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Can long-term care insurance prevent worsening of frailty among older Chinese adults? A difference-in-differences study based on CHARLS data.长期护理保险能否预防中国老年人身体衰弱状况的恶化?一项基于中国健康与养老追踪调查(CHARLS)数据的双重差分研究。
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