Evidence map›Paper›PMID 40769886›Full record

ArticleIndustrial health2026

Depression, anxiety, and satisfaction with life among working versus non-working retirees: a cross-sectional comparative study.

Hend Serya, Heba Noshy Abd ElAziz Mohamed, Abdel-Hady El-Gilany

Abstract readComparative Study
In one paragraph

Article in Industrial health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hend SeryaIndustrial Medicine and Occupational Health, Public Health and Community Medicine Department, Faculty of Medicine, Mansoura University, Egypt.
Heba Noshy Abd ElAziz MohamedGerontological Nursing Department, Faculty of Nursing, Mansoura University, Egypt.
Abdel-Hady El-GilanyPublic Health and Community Medicine Department, Faculty of Medicine, Public Health and Preventive Medicine, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been a growing emphasis on the post-retirement work of the elderly, which can either be beneficial or pose risks to their mental health. This study aimed to compare the prevalence of depression and anxiety, as well as the level of life satisfaction, among working vs. non-working retirees. In a cross-sectional study, 270 retirees aged 60 yr or older were enrolled; of them, 122 were working and 148 were not. An interview-based questionnaire was utilized, incorporating sociodemographic, occupational, and clinical data, along with the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7 scale, and the Satisfaction with Life Scale. Compared to non-working retirees, working retirees exhibited lower rates of moderate to severe depression (39.3% vs. 67.0%) and anxiety (30.3% vs. 59.5%), as well as a higher rate of life satisfaction (59.8% vs. 41.2%). In the multivariate regression analysis, non-working retirees were more likely to experience moderate to severe depression and anxiety, with AORs of 3.4 and 3.9, respectively, while continuing to work after retirement was an independent predictor of satisfaction with life, with an AOR of 1.8. Therefore, recruiting and retaining older workers, while considering their physical and mental capabilities, is recommended, along with mental health screening.

Indexed as

AnxietyDepressionEmploymentPersonal SatisfactionRetirementAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceSurveys and QuestionnairesAnxietyDepressionElderLife satisfactionPost-retirement work

Identifiers

PMID40769886
PMCPMC12989272

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.