Evidence map›Paper›PMID 37162581›Full record

ArticleEuropean journal of ageing2023

Retirement's impact on health: what role does social network play?

Asal Pilehvari, Wen You, Xu Lin

Open access · hybridAbstract read
In one paragraph

Article in European journal of ageing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
25.2field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 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

3 authors at 2 institutions in 1 country.

Asal PilehvariDepartment of Public Health Sciences, University of Virginia, Charlottesville, USA. asal@virginia.edu.ORCID http://orcid.org/0000-0002-7793-7948
Wen YouDepartment of Public Health Sciences, University of Virginia, Charlottesville, USA.
Xu LinDepartment of Economics, Virginia Tech, Blacksburg, USA.
University of Virginia · USVirginia Tech · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While a large body of literature investigates the bidirectional relationship between retirement and health, few have analyzed the mechanism through which retirement affects health which will provide important policy instrument insights. Using three waves of National Social Life, Health, and Aging Project, we examine the mediating role of the social network in the relationship between retirement and health in USA. We address the endogeneity and reverse causality through panel instrumental fixed-effect methods. We apply both single and parallel mediation analyses to identify the potential mechanism by which social network characteristics mediate the impact of retirement on health. Findings reveal that retirement adversely affects physical and mental health outcomes, and a considerable portion of these effects are explained by social network changes post-retirement. Specifically, 58% of reduction in the probability of reporting good physical health and 4.5% of increment in chances of having depression symptoms post-retirement can be explained by shrinkage in the size of social network in retirees. Using parallel mediation identification to account for dependencies among social network features, we find that social network size induces 79.5% reduction in probability of reporting good physical health and 18.6% increase in probability of having depression in retirees as compared to non-retirees. Findings in this paper suggest that investing in social network of the elderly can buffer the adverse health effect of retirement and can be an effective policy target for promoting healthy aging.

Indexed as

MediationPhysical and mental healthRetirementSocial network

Identifiers

PMID37162581
PMCPMC10172431
OpenAlexW4376121853

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.