Evidence map›Paper›PMID 35048820›Full record

SynthesisEpidemiology and psychiatric sciences2021

Does retirement trigger depressive symptoms? A systematic review and meta-analysis.

A Odone, V Gianfredi, G P Vigezzi, A Amerio, C Ardito, A d'Errico, D Stuckler, G Costa, Italian Working Group on Retirement and Health

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Epidemiology and psychiatric sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
14.8field-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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Gait analysis methods in people with spinal cord injury: a systematic review.Journal of neuroengineering and rehabilitation · 2026
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  19. Aging, longevity, and healthy aging: the public health approach.Aging clinical and experimental research · 2025
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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

9 authors at 6 institutions in 1 country.

A OdoneDepartment of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy.
V GianfrediSchool of Medicine, University Vita-Salute San Raffaele, Milan, Italy.
G P VigezziSchool of Medicine, University Vita-Salute San Raffaele, Milan, Italy.ORCID https://orcid.org/0000-0001-6425-2926
A AmerioDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
C ArditoDepartment of Economics and Statistics "Cognetti De Martiis", University of Turin, Turin, Italy.
A d'ErricoDepartment of Epidemiology, ASL TO3, Piedmont Region, Grugliasco, Turin, Italy.
D StucklerDepartment of Social and Political Sciences, Bocconi University, Milan, Italy.
G CostaDepartment of Clinical and Biological Sciences, University of Turin, Turin, Italy.
Italian Working Group on Retirement and Health
University of Turin · ITVita-Salute San Raffaele University · ITBocconi University · ITRegione PiemonteUniversity of Genoa · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsRetirement is a major life transition that may improve or worsen mental health, including depression. Existing studies provide contradictory results. We conducted a systematic review with meta-analysis to quantitatively pool available evidence on the association of retirement and depressive symptoms.

methodsWe applied PRISMA guidelines to conduct a systematic review and meta-analysis to retrieve, quantitatively pool and critically evaluate the association between retirement and both incident and prevalent depression and to understand better the potential role of individual and contextual-level determinants. Relevant original studies were identified by searching PubMed, Embase, PsycINFO and the Cochrane Library, through 4 March 2021. Subgroup and sensitivity meta-analyses were conducted by gender, study design (longitudinal v. cross-sectional studies), study quality score (QS) and considering studies using validated scales to diagnose depression. Heterogeneity between studies was evaluated with I2 statistics.

resultsForty-one original studies met our a priori defined inclusion criteria. Meta-analysis on more than half a million subjects (n = 557 111) from 60 datasets suggested a protective effect of retirement on the risk of depression [effect size (ES) = 0.83, 95% confidence interval (CI) = 0.74-0.93], although with high statistical heterogeneity between risk estimates (χ2 = 895.19, df = 59, I2 = 93.41%, p-value < 0.0001). Funnel plot asymmetry and trim and fill method suggested a minor potential publication bias. Results were consistent, confirm their robustness and suggest stronger protective effects when progressively restricting the included studies based on quality criteria: (i) studies with the highest QS [55 datasets, 407 086 subjects, ES = 0.81, 95% CI = 0.71-0.91], (ii) studies with a high QS and using validated assessment tools to diagnose depression (44 datasets, 239 453 subjects, ES = 0.76, 95% CI = 0.65-0.88) and (iii) studies of high quality, using a validated tool and with a longitudinal design (24 datasets, 162 004 subjects, ES = 0.76, 95% CI = 0.64-0.90). We observed a progressive reduction in funnel plot asymmetry. About gender, no statistically significant difference was found (females ES = 0.79, 95% CI = 0.61-1.02 v. men ES = 0.87, 95% CI = 0.68-1.11).

conclusionsPooled data suggested that retirement reduces by nearly 20% the risk of depression; such estimates got stronger when limiting the analysis to longitudinal and high-quality studies, even if results are affected by high heterogeneity.As retirement seems to have an independent and protective effect on mental health and depressive symptoms, greater flexibility in retirement timing should be granted to older workers to reduce their mental burden and avoid the development of severe depression. Retirement may also be identified as a target moment for preventive interventions, particularly primary and secondary prevention, to promote health and wellbeing in older ages, boosting the observed impact.

Indexed as

DepressionRetirementAgedCross-Sectional StudiesFemaleHealth PromotionHumansMaleMental HealthMiddle Ageddepressionepidemiologypreventionretirementsocial factorssystematic review and meta-analysis

Identifiers

PMID35048820
PMCPMC8679838
OpenAlexW3216115233

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.