Evidence map›Paper›PMID 23560563›Full record

ArticleAging & mental health2013

Physical occupational exposures during working life and quality of life after labour market exit: results from the GAZEL study.

Loretta G Platts, Gopalakrishnan Netuveli, Elizabeth Webb, Marie Zins, Marcel Goldberg, David Blane, Morten Wahrendorf

Abstract read
In one paragraph

Article in Aging & mental health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

7 authors.

Loretta G PlattsDepartment of Primary Care and Public Health, Imperial College London, London, UK. l.platts10@imperial.ac.uk
Gopalakrishnan Netuveli
Elizabeth Webb
Marie Zins
Marcel Goldberg
David Blane
Morten Wahrendorf

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate variations in quality of life at older ages, we take a life course perspective to analyse long-term effects of physical working conditions upon quality of life after retirement. In doing so, we study to what extent these associations are explained by individuals' health at older ages.

methodWe use administrative data and self-administered questionnaire responses from the French GAZEL cohort. Quality of life was assessed with CASP-19 in 2009 and related to three types of physical working conditions during previous working life: (1) ergonomic strain, (2) physical danger and (3) exposures to chemicals. Health was assessed in 2007 with the SF-36 Health Survey. Multiple regressions were calculated in retired men only, controlling for important confounders including social position.

resultsIn contrast to men, few women were exposed to strenuous and dangerous working conditions in this cohort and were not included in subsequent analyses. Negative effects on retired men's quality of life were found for the physical occupational exposures of ergonomic strain and physical danger, but not for chemical exposures. Effects were attenuated after the introduction of physical and mental health to the models, indicating an indirect effect of physical working conditions upon quality of life via health.

conclusionAdverse physical working conditions have long-term consequences for health and quality of life at older ages. Improvements to physical working conditions may improve individuals' quality of life over the long term.

Indexed as

Health StatusMental HealthOccupational ExposureQuality of LifeRetirementAgedAge FactorsAgingCohort StudiesFemaleFranceHumansMaleMiddle AgedSex FactorsSurveys and Questionnaires

Identifiers

PMID23560563
PMCPMC5325874

What OpenQuestion holds

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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.