Evidence map›Paper›PMID 29439189›Full record

ArticleJournal of epidemiology and community health2018

Socioeconomic inequality in recovery from poor physical and mental health in mid-life and early old age: prospective Whitehall II cohort study.

Akihiro Tanaka, Martin J Shipley, Catherine A Welch, Nora E Groce, Michael G Marmot, Mika Kivimaki, Archana Singh-Manoux, Eric J Brunner

Abstract read
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In one paragraph

Article in Journal of epidemiology and community health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

8 authors.

Akihiro TanakaDepartment of Epidemiology and Public Health, University College London, London, UK.
Martin J ShipleyDepartment of Epidemiology and Public Health, University College London, London, UK.
Catherine A WelchDepartment of Epidemiology and Public Health, University College London, London, UK.
Nora E GroceDepartment of Epidemiology and Public Health, University College London, London, UK.
Michael G MarmotDepartment of Epidemiology and Public Health, University College London, London, UK.
Mika KivimakiDepartment of Epidemiology and Public Health, University College London, London, UK.
Archana Singh-ManouxDepartment of Epidemiology and Public Health, University College London, London, UK.
Eric J BrunnerDepartment of Epidemiology and Public Health, University College London, London, UK.ORCID 0000-0002-0595-4474

Funding

Socio-economic status and heterogeneity in agingR01AG013196 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI MARMOT, MICHAEL G, SINGH-MANOUX, ARCHANA · 1996 to 2013
$3.5M
Health behaviors over the adult lifecourse and cognitive agingR01AG034454 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2009 to 2013
$1.5M
British Heart Foundation RG/13/2/30098British Heart Foundation RG/16/11/32334Medical Research Council MR/K013351/1NIA NIH HHS R01 AG013196NIA NIH HHS R01 AG034454
6 · The paper itself

Abstract

backgroundFew studies have examined the influence of socioeconomic status on recovery from poor physical and mental health.

methodsProspective study with four consecutive periods of follow-up (1991-2011) of 7564 civil servants (2228 women) recruited while working in London. Health was measured by the Short-Form 36 questionnaire physical and mental component scores assessed at beginning and end of each of four rounds. Poor health was defined by a score in the lowest 20% of the age-sex-specific distribution. Recovery was defined as changing from a low score at the beginning to a normal score at the end of the round. The analysis took account of retirement status, health behaviours, body mass index and prevalent chronic disease.

resultsOf 24 001 person-observations in the age range 39-83, a total of 8105 identified poor physical or mental health. Lower grade of employment was strongly associated with slower recovery from poor physical health (OR 0.73 (95% CI 0.59 to 0.91); trend P=0.002) in age, sex and ethnicity-adjusted analyses. The association was halved after further adjustment for health behaviours, adiposity, systolic blood pressure (SBP) and serum cholesterol (OR 0.85 (0.68 to 1.07)). In contrast, slower recovery from poor mental health was associated robustly with low employment grade even after multiple adjustment (OR 0.74 (0.59 to 0.93); trend P=0.02).

conclusionsSocioeconomic inequalities in recovery from poor physical health were explained to a considerable extent by health behaviours, adiposity, SBP and serum cholesterol. These risk factors explained only part of the gradient in recovery for poor mental health.

Indexed as

EmploymentHealth StatusMental HealthSocial ClassSocioeconomic FactorsAgedAged, 80 and overAge DistributionCohort StudiesFemaleHealth BehaviorHumansLondonMaleMiddle AgedProspective Studiesageingcohort studiesfunctioning and disabilityinequalitiesmental health

Identifiers

PMID29439189
PMCPMC5868522

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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.