Evidence map›Paper›PMID 28159391›Full record

SynthesisLancet (London, England)2017

Socioeconomic status and the 25 × 25 risk factors as determinants of premature mortality: a multicohort study and meta-analysis of 1·7 million men and women.

Silvia Stringhini, Cristian Carmeli, Markus Jokela, Mauricio Avendaño, Peter Muennig, Florence Guida, Fulvio Ricceri, Angelo d'Errico, Henrique Barros, Murielle Bochud and 22 more

Erratum issued Registry-linked trialAbstract readMeta-Analysis
In one paragraph

Synthesis in Lancet (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT04386135 (DESVELA Cohort. Analysis of the Role of Personal Skills as Determinants of Incidence of Morbidity, Lifestyles, Quality of Life, Use of Services and Mortality.), which is not on this map. Cited by 674 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
674citing papers in PubMed, 1 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.

NCT04386135 unknown statusnot on this mapstarted 2021, after this paper: background citation

DESVELA Cohort. Analysis of the Role of Personal Skills as Determinants of Incidence of Morbidity, Lifestyles, Quality of Life, Use of Services and Mortality.

TypeobservationalSponsorFundacio d'Investigacio en Atencio Primaria Jordi Gol i GurinaRan2021 to 2025Enrolled3,260ConditionsGeneral Population, Health Knowledge, Attitudes, Practice, Empowerment, Health Care Utilization
3 · Its place in the literature

Who cites it

674 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  6. Temporal Trends in Mortality in Portugal, 1913-2022.Portuguese journal of public health · 2026
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614 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

32 authors.

Silvia StringhiniInstitute of Social and Preventive Medicine and Departments of Psychiatry and Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland. Electronic address: silvia.stringhini@chuv.ch.
Cristian CarmeliInstitute of Social and Preventive Medicine and Departments of Psychiatry and Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland.
Markus JokelaInstitute of Behavioural Sciences, University of Helsinki, Helsinki, Finland.
Mauricio AvendañoDepartment of Global Health and Social Medicine, King's College London, London, UK; Harvard T H Chan School of Public Health, Boston MA, USA.
Peter MuennigGlobal Research Analytics for Population Health, Health Policy and Management, Columbia University, New York, NY, USA.
Florence GuidaMRC-PHE Centre for Environment and Health, School of Public Health, Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
Fulvio RicceriEpidemiology Unit, ASL TO3 Piedmont Region, Grugliasco, Italy.
Angelo d'ErricoEpidemiology Unit, ASL TO3 Piedmont Region, Grugliasco, Italy.
Henrique BarrosEPIUnit-Institute of Public Health, University of Porto, Porto, Portugal; Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, Porto, Portugal.
Murielle BochudInstitute of Social and Preventive Medicine and Departments of Psychiatry and Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland.
Marc Chadeau-HyamMRC-PHE Centre for Environment and Health, School of Public Health, Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
Françoise Clavel-ChapelonCenter for Research in Epidemiology and Population Health, INSERM U1018, Villejuif, France.
Giuseppe CostaDepartment of Biological and Clinical Sciences, Universtiy of Turin, Turin, Italy.
Cyrille DelpierreINSERM, UMR1027, Toulouse, France; Université Toulouse III Paul-Sabatier, UMR1027, Toulouse, France.
Silvia FragaEPIUnit-Institute of Public Health, University of Porto, Porto, Portugal.
Marcel GoldbergPopulation-based Epidemiological Cohorts Unit, INSERM UMS 11, Villejuif, France; Paris Descartes University, Paris, France.
Graham G GilesCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.
Vittorio KroghEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Michelle Kelly-IrvingINSERM, UMR1027, Toulouse, France; Université Toulouse III Paul-Sabatier, UMR1027, Toulouse, France.
Richard LayteDepartment of Sociology, Trinity College Dublin, Dublin, Ireland.
Aurélie M LasserreInstitute of Social and Preventive Medicine and Departments of Psychiatry and Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland.
Michael G MarmotUniversity College London, Department of Epidemiology and Public Health, London, UK.
Martin PreisigInstitute of Social and Preventive Medicine and Departments of Psychiatry and Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland.
Martin J ShipleyUniversity College London, Department of Epidemiology and Public Health, London, UK.
Peter VollenweiderInstitute of Social and Preventive Medicine and Departments of Psychiatry and Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland.
Marie ZinsPopulation-based Epidemiological Cohorts Unit, INSERM UMS 11, Villejuif, France; Paris Descartes University, Paris, France.
Ichiro KawachiHarvard T H Chan School of Public Health, Boston MA, USA.
Andrew SteptoeUniversity College London, Department of Epidemiology and Public Health, London, UK.
Johan P MackenbachDepartment of Public Health, Erasmus University Medical Center, Rotterdam, Netherlands.
Paolo VineisMRC-PHE Centre for Environment and Health, School of Public Health, Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
Mika KivimäkiUniversity College London, Department of Epidemiology and Public Health, London, UK; Clinicum, Faculty of Medicine, University of Helsinki, Finland.
LIFEPATH consortium

Funding

STATISTICS COREP01AG020166 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2002 to 2015
$50.6M
Medical Research Council K013351Medical Research Council MR/K013351/1Medical Research Council MR/L01341X/1NIA NIH HHS P01 AG020166
6 · The paper itself

Abstract

backgroundIn 2011, WHO member states signed up to the 25 × 25 initiative, a plan to cut mortality due to non-communicable diseases by 25% by 2025. However, socioeconomic factors influencing non-communicable diseases have not been included in the plan. In this study, we aimed to compare the contribution of socioeconomic status to mortality and years-of-life-lost with that of the 25 × 25 conventional risk factors.

methodsWe did a multicohort study and meta-analysis with individual-level data from 48 independent prospective cohort studies with information about socioeconomic status, indexed by occupational position, 25 × 25 risk factors (high alcohol intake, physical inactivity, current smoking, hypertension, diabetes, and obesity), and mortality, for a total population of 1 751 479 (54% women) from seven high-income WHO member countries. We estimated the association of socioeconomic status and the 25 × 25 risk factors with all-cause mortality and cause-specific mortality by calculating minimally adjusted and mutually adjusted hazard ratios [HR] and 95% CIs. We also estimated the population attributable fraction and the years of life lost due to suboptimal risk factors.

findingsDuring 26·6 million person-years at risk (mean follow-up 13·3 years [SD 6·4 years]), 310 277 participants died. HR for the 25 × 25 risk factors and mortality varied between 1·04 (95% CI 0·98-1·11) for obesity in men and 2 ·17 (2·06-2·29) for current smoking in men. Participants with low socioeconomic status had greater mortality compared with those with high socioeconomic status (HR 1·42, 95% CI 1·38-1·45 for men; 1·34, 1·28-1·39 for women); this association remained significant in mutually adjusted models that included the 25 × 25 factors (HR 1·26, 1·21-1·32, men and women combined). The population attributable fraction was highest for smoking, followed by physical inactivity then socioeconomic status. Low socioeconomic status was associated with a 2·1-year reduction in life expectancy between ages 40 and 85 years, the corresponding years-of-life-lost were 0·5 years for high alcohol intake, 0·7 years for obesity, 3·9 years for diabetes, 1·6 years for hypertension, 2·4 years for physical inactivity, and 4·8 years for current smoking.

interpretationSocioeconomic circumstances, in addition to the 25 × 25 factors, should be targeted by local and global health strategies and health risk surveillance to reduce mortality.

fundingEuropean Commission, Swiss State Secretariat for Education, Swiss National Science Foundation, the Medical Research Council, NordForsk, Portuguese Foundation for Science and Technology.

Indexed as

Mortality, PrematureSocial ClassAdultAlcohol DrinkingCohort StudiesExerciseFemaleHumansMaleMiddle AgedObesityRisk FactorsSmoking

Identifiers

PMID28159391
PMCPMC5368415

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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.