Comparative Analysis of the Effects of Retirement on Health Status of Older Adulthood.


Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
12 08 2022
Historique:
received: 11 07 2022
revised: 08 08 2022
accepted: 10 08 2022
entrez: 26 8 2022
pubmed: 27 8 2022
medline: 30 8 2022
Statut: epublish

Résumé

This study examines the causal effect of retirement on the health of middle-aged and older adults in China. We used the mandatory retirement age in China as an instrument variable with a fuzzy discontinuity design. This served to examine the exogenous impact on retirement behavior. Two regression analyses were used, each with the dependent variable as self-assessed health status (SAH) and depression levels, respectively. Changes in an individual's internal and external environment after retirement were associated with an increase in SAH and a decrease in depression. Highly educated men are 93.5% more likely to improve their health. Women are 0.26% less likely to be depressed. People with higher education tend to reduce their vigorous activities and increase walking for over 10 minutes after retirement. This study may promote research on aging and the health status of the Chinese population. It may provide a scientific basis for formulating, revising, and improving social security policies in China.

Identifiants

pubmed: 36011591
pii: ijerph19169957
doi: 10.3390/ijerph19169957
pmc: PMC9407978
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Références

J Health Econ. 2011 Jan;30(1):77-86
pubmed: 21183235
J Health Econ. 2012 May;31(3):490-501
pubmed: 22538324
World Dev. 2020 Feb;126:
pubmed: 32863539
J Gerontol. 1983 Mar;38(2):231-6
pubmed: 6827042

Auteurs

Liang Fang (L)

School of Economics and Management, Beijing Forestry University, Beijing 100083, China.

Ruiyao Shi (R)

School of Economics and Management, Beijing Forestry University, Beijing 100083, China.

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Classifications MeSH