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(Institute of Social and Preventive Medicine), Cristian Carmeli(Institute of Social and Preventive Medicine), Markus Jokela(University of Helsinki), Mauricio Avendaño(Harvard University), Peter Muennig(Global Policy Institute), Florence Guida(Imperial College London), Fulvio Ricceri(Regione Piemonte), Angelo d’Errico(Regione Piemonte), Henrique Barros(Universidade do Porto), Murielle Bochud(Institute of Social and Preventive Medicine), Marc Chadeau‐Hyam(Imperial College London), Françoise Clavel‐Chapelon(Inserm), Giuseppe Costa(University of Turin), Cyrille Delpierre(Université Toulouse III - Paul Sabatier), Sílvia Fraga(Universidade do Porto), Marcel Goldberg(Délégation Paris 5), Graham G. Giles(Cancer Council Victoria), Vittorio Krogh(Fondazione IRCCS Istituto Nazionale dei Tumori), Michelle Kelly‐Irving(Université Toulouse III - Paul Sabatier), Richard Layte(Trinity College Dublin), Aurélie M. Lasserre(Institute of Social and Preventive Medicine), Michael Marmot(University College London), Martin Preisig(Institute of Social and Preventive Medicine), Martin J. Shipley(University College London), Péter Vollenweider(Institute of Social and Preventive Medicine), Marie Zins(Délégation Paris 5), Ichiro Kawachi(Harvard University), Andrew Steptoe(University College London), Johan P. Mackenbach(Erasmus MC), Paolo Vineis(Imperial College London), Mika Kivimäki(University of Helsinki), Harri Alenius, Mauricio Avendaño(Harvard University), Henrique Barros(Universidade do Porto), Murielle Bochud(Institute of Social and Preventive Medicine), Cristian Carmeli(Institute of Social and Preventive Medicine), Luca Carra, Raphaële Castagné, Marc Chadeau‐Hyam(Imperial College London), Françoise Clavel‐Chapelon(Inserm), Giuseppe Costa(University of Turin), Émilie Courtin, Cyrille Delpierre(Université Toulouse III - Paul Sabatier), Angelo d’Errico(Regione Piemonte), Pierre‐Antoine Dugué, Paul Elliott, Sílvia Fraga(Universidade do Porto), Valérie Garès, Graham G. Giles(Cancer Council Victoria), Marcel Goldberg(Délégation Paris 5), Dario Greco, Allison Hodge, M Kelly Irving(Université Toulouse III - Paul Sabatier), Piia Karisola, Mika Kivimäki(University of Helsinki), Vittorio Krogh(Fondazione IRCCS Istituto Nazionale dei Tumori), Thierry Lang, Richard Layte(Trinity College Dublin), Benoît Lepage, Johan P. Mackenbach(Erasmus MC), Michael Marmot(University College London), Cathal McCrory, Roger L. Milne, Peter Muennig(Global Policy Institute), Wilma J. Nusselder, Salvatore Panico, Dušan Petrović, Silvia Polidoro(Universidade do Porto), Martin Preisig(Institute of Social and Preventive Medicine), Olli Raitakari, Ana Isabel Ribeiro, Ana Isabel Ribeiro, Fulvio Ricceri(Regione Piemonte), Oliver Robinson, José Rubio Valverde, Carlotta Sacerdote, Roberto Satolli, Gianluca Severi, M. J. Shipley(University College London), Silvia Stringhini(Institute of Social and Preventive Medicine), ­Rosario ­Tumino, Paolo Vineis(Imperial College London), Péter Vollenweider(Institute of Social and Preventive Medicine), Marie Zins(Délégation Paris 5)
The Lancet
February 1, 2017
Cited by 1,300Open Access
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Abstract

BACKGROUND: In 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. METHODS: We 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. FINDINGS: During 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. INTERPRETATION: Socioeconomic circumstances, in addition to the 25 × 25 factors, should be targeted by local and global health strategies and health risk surveillance to reduce mortality. FUNDING: European Commission, Swiss State Secretariat for Education, Swiss National Science Foundation, the Medical Research Council, NordForsk, Portuguese Foundation for Science and Technology.


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