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@article{Stringhini:2017:10.1016/S0140-6736(16)32380-7,
author = {Stringhini, S and Carmeli, C and Jokela, M and Avendano, M and Muennig, P and Guida, F and Ricceri, F and d'Errico, A and Barros, H and Bochud, M and Chadeau-Hyam, M and Clavel-Chapelon, F and Costa, G and Delpierre, C and Fraga, S and Goldberg, M and Giles, GG and Krogh, V and Kelly-Irving, M and Layte, R and Lasserre, AM and Marmot, MG and Preisig, M and Shipley, MJ and Vollenweider, P and Zins, M and Kawachi, I and Steptoe, A and Mackenbach, JP and Vineis, P and Kivimaki, M},
doi = {10.1016/S0140-6736(16)32380-7},
journal = {The Lancet},
pages = {1229--1237},
title = {Socioeconomic status and the 25 x 25 risk factors as determinants of premature mortality: a multicohort study and meta-analysis of 1.7 million men and women},
url = {http://dx.doi.org/10.1016/S0140-6736(16)32380-7},
volume = {389},
year = {2017}
}

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TY  - JOUR
AB  - 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 1751479 (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]), 310277 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 attrib
AU  - Stringhini,S
AU  - Carmeli,C
AU  - Jokela,M
AU  - Avendano,M
AU  - Muennig,P
AU  - Guida,F
AU  - Ricceri,F
AU  - d'Errico,A
AU  - Barros,H
AU  - Bochud,M
AU  - Chadeau-Hyam,M
AU  - Clavel-Chapelon,F
AU  - Costa,G
AU  - Delpierre,C
AU  - Fraga,S
AU  - Goldberg,M
AU  - Giles,GG
AU  - Krogh,V
AU  - Kelly-Irving,M
AU  - Layte,R
AU  - Lasserre,AM
AU  - Marmot,MG
AU  - Preisig,M
AU  - Shipley,MJ
AU  - Vollenweider,P
AU  - Zins,M
AU  - Kawachi,I
AU  - Steptoe,A
AU  - Mackenbach,JP
AU  - Vineis,P
AU  - Kivimaki,M
DO  - 10.1016/S0140-6736(16)32380-7
EP  - 1237
PY  - 2017///
SN  - 0140-6736
SP  - 1229
TI  - Socioeconomic status and the 25 x 25 risk factors as determinants of premature mortality: a multicohort study and meta-analysis of 1.7 million men and women
T2  - The Lancet
UR  - http://dx.doi.org/10.1016/S0140-6736(16)32380-7
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000397143700035&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(16)32380-7/fulltext
UR  - http://hdl.handle.net/10044/1/45756
VL  - 389
ER  -

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