Evidence map›Paper›PMID 20332401›Full record

ArticleJAMA2010

Association of socioeconomic position with health behaviors and mortality.

Silvia Stringhini, Séverine Sabia, Martin Shipley, Eric Brunner, Hermann Nabi, Mika Kivimaki, Archana Singh-Manoux

Registry-linked trialAbstract read
In one paragraph

Article in JAMA, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07299201 (Evaluation of the Efficiency of Proactive Telemedicine vs Face-to-Face Visits for Universal Access and Health Prevention in a Rural Primary Care Team), which is not on this map. Cited by 486 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
486citing papers in PubMed, 8 pooled it
–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.

NCT07299201 naactive not recruitingnot on this mapstarted 2024, after this paper: background citation

Evaluation of the Efficiency of Proactive Telemedicine vs Face-to-Face Visits for Universal Access and Health Prevention in a Rural Primary Care Team: Randomized Non-Inferiority Clinical Trial

TypeinterventionalSponsorFundacio d'Investigacio en Atencio Primaria Jordi Gol i GurinaRan2024 to 2026Enrolled120ConditionsPrimary Health Care, Telemedicine, Face to Face Consultation, Health Care AccessArmsTelemedicine Brief Behavioural Lifestyle Intervention, Face to face Brief Behavioural Lifestyle Intervention
3 · Its place in the literature

Who cites it

486 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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426 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Silvia StringhiniINSERM U1018, Centre for Research in Epidemiology and Population Health, Hôpital Paul Brousse, Bât 15/16, 16 Avenue Paul Vaillant Couturier, 94807 Villejuif Cedex, France. silvia.stringhini@inserm.fr
Séverine Sabia
Martin Shipley
Eric Brunner
Hermann Nabi
Mika Kivimaki
Archana Singh-Manoux

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 FoundationDepartment of HealthMedical Research CouncilNHLBI 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

contextPrevious studies may have underestimated the contribution of health behaviors to social inequalities in mortality because health behaviors were assessed only at the baseline of the study.

objectiveTo examine the role of health behaviors in the association between socioeconomic position and mortality and compare whether their contribution differs when assessed at only 1 point in time with that assessed longitudinally through the follow-up period. DESIGN, SETTING, AND

participantsEstablished in 1985, the British Whitehall II longitudinal cohort study includes 10 308 civil servants, aged 35 to 55 years, living in London, England. Analyses are based on 9590 men and women followed up for mortality until April 30, 2009. Socioeconomic position was derived from civil service employment grade (high, intermediate, and low) at baseline. Smoking, alcohol consumption, diet, and physical activity were assessed 4 times during the follow-up period.

main outcome measuresAll-cause and cause-specific mortality.

resultsA total of 654 participants died during the follow-up period. In the analyses adjusted for sex and year of birth, those with the lowest socioeconomic position had 1.60 times higher risk of death from all causes than those with the highest socioeconomic position (a rate difference of 1.94/1000 person-years). This association was attenuated by 42% (95% confidence interval [CI], 21%-94%) when health behaviors assessed at baseline were entered into the model and by 72% (95% CI, 42%-154%) when they were entered as time-dependent covariates. The corresponding attenuations were 29% (95% CI, 11%-54%) and 45% (95% CI, 24%-79%) for cardiovascular mortality and 61% (95% CI, 16%-425%) and 94% (95% CI, 35%-595%) for noncancer and noncardiovascular mortality. The difference between the baseline only and repeated assessments of health behaviors was mostly due to an increased explanatory power of diet (from 7% to 17% for all-cause mortality, respectively), physical activity (from 5% to 21% for all-cause mortality), and alcohol consumption (from 3% to 12% for all-cause mortality). The role of smoking, the strongest mediator in these analyses, did not change when using baseline or repeat assessments (from 32% to 35% for all-cause mortality).

conclusionIn a civil service population in London, England, there was an association between socioeconomic position and mortality that was substantially accounted for by adjustment for health behaviors, particularly when the behaviors were assessed repeatedly.

Indexed as

Health BehaviorSocial ClassAdultAgedFemaleFollow-Up StudiesHealth StatusHealth Status DisparitiesHumansLondonMaleMiddle AgedMortalityOutcome Assessment, Health Care

Identifiers

PMID20332401
PMCPMC2918905

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Registered trials

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.