Evidence map›Paper›PMID 36045724›Full record

ArticleFrontiers in public health2022

Understanding the effect of retirement on health behaviors in China: Causality, heterogeneity and time-varying effect.

Ziju Yan, Nan Xiang, Jia Meng, Hang Liang, Zhang Yue

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Ziju YanSchool of Public Administration, Zhongnan University of Economics and Laws, Wuhan, China.
Nan XiangSchool of Public Administration, Zhongnan University of Economics and Laws, Wuhan, China.
Jia MengSchool of Public Administration, Zhongnan University of Economics and Laws, Wuhan, China.
Hang LiangSchool of Public Administration, Zhongnan University of Economics and Laws, Wuhan, China.
Zhang YueSchool of Public Administration, Zhongnan University of Economics and Laws, Wuhan, China.
Zhongnan University of Economics and Law · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retirement is an important turning point during the course of life, but few studies have examined the effects of retirement on a broad range of health behaviors in China. We use the longitudinal data of the China Health and Nutrition Survey (CHNS) from 2004 to 2015 to conduct empirical analysis. Fuzzy discontinuity regression was used to assess the association between retirement and health behaviors in the entire sample and subgroups based on gender and education. A time-varying effect model was used to measure the anticipatory effect, immediate effect and lag effect of retirement. We observed that the transition to retirement was associated with healthier lifestyle habits, such as reduced smoking and alcohol consumption and increased exercise motivation. However, the transition was associated with worse sedentary behavior. No significant statistical association was found between retirement and sleep duration. Men and those with higher education levels are more likely to experience the impact of retirement. The anticipatory effect suggests that as the statutory pension age is predictable, workers adjust their behaviors 4 and 5 years before retirement. The lagged effect indicates that it takes time to develop new habits; thus, retirees change their behaviors 2-3 years after retirement. The paper discusses possible reasons for our findings and proposes several policy implications from the perspectives of the government and society to facilitate the realization of healthy aging.

Indexed as

Health BehaviorRetirementChinaHumansMalePensionsSedentary Behavioranticipatory effectfuzzy regression discontinuityhealth behaviorlagged effectretirement

Identifiers

PMID36045724
PMCPMC9421064
OpenAlexW4291884806

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.