Evidence map›Paper›PMID 21364974›Full record

ArticlePLoS medicine2011

Health behaviours, socioeconomic status, and mortality: further analyses of the British Whitehall II and the French GAZEL prospective cohorts.

Silvia Stringhini, Aline Dugravot, Martin Shipley, Marcel Goldberg, Marie Zins, Mika Kivimäki, Michael Marmot, Séverine Sabia, Archana Singh-Manoux

Open access · goldAbstract readComparative Study
In one paragraph

Article in PLoS medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
156citing papers in PubMed, 3 pooled it
26.2field-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

156 citing papers in PubMed, 3 syntheses or guidelines pooled it, 354 citations in OpenAlex.

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  9. Disruption of multisystem responses to stress in type 2 diabetes: investigating the dynamics of allostatic load.Proceedings of the National Academy of Sciences of the United States of America · 2014
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96 more citing papers are in PubMed but not listed here.

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 4 institutions in 2 countries.

Silvia StringhiniINSERM U1018, Centre for Research in Epidemiology and Population Health, Hôpital Paul Brousse, Villejuif, France. silvia.stringhini@inserm.fr
Aline Dugravot
Martin Shipley
Marcel Goldberg
Marie Zins
Mika Kivimäki
Michael Marmot
Séverine Sabia
Archana Singh-Manoux
Centre de recherche en Epidémiologie et Santé des Populations · FRUniversity College London · GBHôpital Paul-Brousse · FRInserm · FR

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
Socioeconomic gradient in CHD in early old ageR01HL036310 · NHLBI · UNIVERSITY OF LONDON · PI KIVIMAKI, MIKA J, MARMOT, MICHAEL G · 1986 to 2012
$3.1M
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/07/008/23674Department of HealthMedical Research Council G0100222Medical Research Council G0902037Medical Research Council G19/35Medical Research Council G8802774NHLBI NIH HHS R01 HL036310NHLBI NIH HHS R01HL036310NIA NIH HHS R01 AG013196NIA NIH HHS R01AG013196NIA NIH HHS R01 AG034454NIA NIH HHS R01AG034454
6 · The paper itself

Abstract

backgroundDifferences in morbidity and mortality between socioeconomic groups constitute one of the most consistent findings of epidemiologic research. However, research on social inequalities in health has yet to provide a comprehensive understanding of the mechanisms underlying this association. In recent analysis, we showed health behaviours, assessed longitudinally over the follow-up, to explain a major proportion of the association of socioeconomic status (SES) with mortality in the British Whitehall II study. However, whether health behaviours are equally important mediators of the SES-mortality association in different cultural settings remains unknown. In the present paper, we examine this issue in Whitehall II and another prospective European cohort, the French GAZEL study. METHODS AND

findingsWe included 9,771 participants from the Whitehall II study and 17,760 from the GAZEL study. Over the follow-up (mean 19.5 y in Whitehall II and 16.5 y in GAZEL), health behaviours (smoking, alcohol consumption, diet, and physical activity), were assessed longitudinally. Occupation (in the main analysis), education, and income (supplementary analysis) were the markers of SES. The socioeconomic gradient in smoking was greater (p<0.001) in Whitehall II (odds ratio [OR] = 3.68, 95% confidence interval [CI] 3.11-4.36) than in GAZEL (OR = 1.33, 95% CI 1.18-1.49); this was also true for unhealthy diet (OR = 7.42, 95% CI 5.19-10.60 in Whitehall II and OR = 1.31, 95% CI 1.15-1.49 in GAZEL, p<0.001). Socioeconomic differences in mortality were similar in the two cohorts, a hazard ratio of 1.62 (95% CI 1.28-2.05) in Whitehall II and 1.94 in GAZEL (95% CI 1.58-2.39) for lowest versus highest occupational position. Health behaviours attenuated the association of SES with mortality by 75% (95% CI 44%-149%) in Whitehall II but only by 19% (95% CI 13%-29%) in GAZEL. Analysis using education and income yielded similar results.

conclusionsHealth behaviours were strong predictors of mortality in both cohorts but their association with SES was remarkably different. Thus, health behaviours are likely to be major contributors of socioeconomic differences in health only in contexts with a marked social characterisation of health behaviours. Please see later in the article for the Editors' Summary.

Indexed as

Cross-Cultural ComparisonHealth Status DisparitiesSocial ClassAdultAlcohol DrinkingDietExerciseFemaleFranceHealth BehaviorHumansLife StyleLongitudinal StudiesMaleMiddle AgedMortality

Identifiers

PMID21364974
PMCPMC3043001
OpenAlexW2073394175

What OpenQuestion holds

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LicenceCC BY
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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.