作者
Silvia Stringhini, Cristian Carmeli, Markus Jokela, Mauricio Avendaño, Peter Muennig, Florence Guida, Fulvio Ricceri, Angelo d'Errico, Henrique Barros, Murielle Bochud, Marc Chadeau-Hyam, Françoise Clavel-Chapelon, Giuseppe Costa, Cyrille Delpierre, Silvia Fraga, Marcel Goldberg, Graham G Giles, Vittorio Krogh, Michelle Kelly-Irving, Richard Layte, Aurélie M Lasserre, Michael G Marmot, Martin Preisig, Martin J Shipley, Peter Vollenweider, Marie Zins, Ichiro Kawachi, Andrew Steptoe, Johan P Mackenbach, Paolo Vineis, Mika Kivimäki, Harri Alenius, Mauricio Avendano, Luca Carra, Raphaele Castagné, Emilie Courtin, Angelo D'Errico, Pierre-Antoine Dugué, Paul Elliott, Valérie Gares, Graham Giles, Dario Greco, Allison Hodge, Michelle Kelly Irving, Piia Karisola, Thierry Lang, Benoit Lepage, Johan Mackenbach, Michael Marmot, Cathal McCrory, Roger Milne, Wilma Nusselder, Salvatore Panico, Dusan Petrovic, Silvia Polidoro, Olli Raitakari, Ana Isabel Ribeiro, Oliver Robinson, Jose Rubio Valverde, Carlotta Sacerdote, Roberto Satolli, Gianluca Severi, Rosario Tumino
发表日期
2017/3/25
期刊
The Lancet
卷号
389
期号
10075
页码范围
1229-1237
出版商
Elsevier
简介
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 …
引用总数
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