The causal effect of retirement on stress in older adults in China: A regression discontinuity study.

China Regression discontinuity design Retirement Stress

Journal

SSM - population health
ISSN: 2352-8273
Titre abrégé: SSM Popul Health
Pays: England
ID NLM: 101678841

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 15 05 2019
revised: 28 07 2019
accepted: 29 07 2019
entrez: 22 2 2020
pubmed: 23 2 2020
medline: 23 2 2020
Statut: epublish

Résumé

Population aging in middle-income countries, including China, has resulted in strong economic incentives to increase the retirement age. These economic incentives should be weighed up against the effects of later retirement on physical and mental health and wellbeing. We aimed to determine the causal effect of retirement on perceived stress, an important measure of mental well-being. We used data from the China Health and Nutrition Survey in 2015 and adopted a non-parametric regression discontinuity design (RDD) to measure the causal effect of retirement on stress. Stress was assessed using the Perceived Stress Scale (PSS)-14. On average, the effect of retirement on stress was close to the null value and insignificant. In subgroup analyses, we found that retirement reduces stress in men but raises stress in women. Though these gender-specific effects were not statistically significant, their magnitudes were large. Thus, the average null result in the entire population appears to hide opposite gender-specific effects. More research is needed to confirm this finding in studies with larger sample sizes and understand the gender-specific pathways leading from retirement to stress.

Identifiants

pubmed: 32083164
doi: 10.1016/j.ssmph.2019.100462
pii: S2352-8273(19)30155-7
pii: 100462
pmc: PMC7016446
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100462

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2019 The Authors.

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Auteurs

Simiao Chen (S)

Heidelberg Institute of Global Health (HIGH), Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany.

Pascal Geldsetzer (P)

Heidelberg Institute of Global Health (HIGH), Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany.
Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, CA, USA.

Till Bärnighausen (T)

Heidelberg Institute of Global Health (HIGH), Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany.
Africa Health Research Institute, Somkhele, KwaZulu-Natal, South Africa.
Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Classifications MeSH