7 documents found, page 1 of 1
Worldwide trends in underweight and obesity from 1990 to 2022: A pooled analysi...
Robinson, L; Roccaldo, R; Rodrigues, D; Rodriguez Perez, MdC; Rodríguez Villamizar, LA; Rodríguez, AY; Roggenbuck, U; Rohloff, P; Rohner, FBackground: Underweight and obesity are associated with adverse health outcomes throughout the life course. We estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from 1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories. Methods: We used data from 3663 population-based studies with 222 million participants that...
Life-course socioeconomic disadvantage and lung function: a multicohort study o...
Rocha, V; Fraga, S; Moreira, C; Carmeli, C; Lenoir, A; Steptoe, A; Giles, G; Goldberg, M; Zins, M; Kivimäki, M; Vineis, P; Vollenweider, P; Barros, HBackground Lung function is an important predictor of health and a marker of physical functioning at older ages. This study aimed to quantify the years of lung function lost according to disadvantaged socioeconomic conditions across the life-course. Methods This multicohort study used harmonised individual-level data from six European cohorts with information on life-course socioeconomic disadvantage and lung f...
Special Report: The Biology of Inequalities in Health: The Lifepath Consortium
Vineis, P; Avendano-Pabon, M; Barros, H; Bartley, M; Carmeli, C; Carra, L; Chadeau-Hyam, M; Costa, G; Delpierre, C; D'Errico, A; Fraga, S; Giles, GFunded by the European Commission Horizon 2020 programme, the Lifepath research consortium aimed to investigate the effects of socioeconomic inequalities on the biology of healthy aging. The main research questions included the impact of inequalities on health, the role of behavioral and other risk factors, the underlying biological mechanisms, the efficacy of selected policies, and the general implications of ...
The contribution of sleep to social inequalities in cardiovascular disorders: a...
Petrovic, D; Haba-Rubio, J; de Mestral, Vargas, C; Kelly-Irving, M; Vineis, P; Kivimäki, M; Nyberg, S; Gandini, M; Bochud, M; Vollenweider, PAims: Sleep disturbances exhibit a strong social patterning, and inadequate sleep has been associated with adverse health outcomes, including cardiovascular disorders (CVD). However, the contribution of sleep to socioeconomic inequalities in CVD is unclear. This study pools data from eight European cohorts to investigate the role of sleep duration in the association between life-course socioeconomic status (SES...
Socioeconomic status, non-communicable disease risk factors, and walking speed ...
Stringhini, S; Carmeli, C; Jokela, M; Avendaño, M; McCrory, C; d'Errico, A; Bochud, M; Barros, H; Costa, G; Chadeau-Hyam, M; Delpierre, C; Gandini, MObjective To assess the association of low socioeconomic status and risk factors for non-communicable diseases (diabetes, high alcohol intake, high blood pressure, obesity, physical inactivity, smoking) with loss of physical functioning at older ages. Design Multi-cohort population based study. Setting 37 cohort studies from 24 countries in Europe, the United States, Latin America, Africa, and Asia, 1990-2017 P...
Socioeconomic indicators in epidemiologic research: A practical example from th...
d'Erico, A; Ricceri, F; Stringhini, S; Carmeli, C; Kivimaki, M; Bartley, M; McCrory, C; Bochud, M; Vollenweider, P; Tumino, R; Goldberg, M; Zins, MBackground: Several social indicators have been used in epidemiological research to describe socioeconomic position (SEP) of people in societies. Among SEP indicators, those more frequently used are education, occupational class and income. Differences in the incidence of several health outcomes have been reported consistently, independently from the indicator employed. Main objectives of the study were to pres...
Socioeconomic status and the 25 × 25 risk factors as determinants of premature ...
Stringhini, S; Carmeli, C; Jokela, M; Avendaño, M; Muennig, P; Guida, F; Ricceri, F; d'Errico, A; Barros, H; Bochud, M; Chadeau-Hyam, MBackground: 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 facto...