6 documents found, page 1 of 1
Towards a consensus definition of allostatic load: a multi-cohort, multi-system...
McCrory, C; McLoughlin, S; Layte, R; NiCheallaigh, C; O'Halloran, AM; Barros, H; Berkman, LF; Bochud, M; Crimmins, EM; Farrell, MT; Fraga, S; Grundy, EBackground: Allostatic load (AL) is a multi-system composite index for quantifying physiological dysregulation caused by life course stressors. For over 30 years, an extensive body of research has drawn on the AL framework but has been hampered by the lack of a consistent definition.Methods: This study analyses data for 67,126 individuals aged 40-111 years participating in 13 different cohort studies and 40 bio...
Patterning of educational attainment across inflammatory markers: Findings from...
Maurel, M; Castagné, R; Berger, E; Bochud, M; Chadeau-Hyam, M; Fraga, S; Gandini, M; Hutri-Kähönen, N; Jalkanen, S; Kivimäki, M; Marmot, M; McCrory, CBackground. Evidence suggests that the inflammatory reaction, an adaptive response triggered by a variety of harmful stimuli and conditions involved in the risk and development of many chronic diseases, is a potential pathway through which the socioeconomic environment is biologically embedded. Difficulty in interpreting the role of the inflammatory system in the embodiment dynamic arises because of heterogenei...
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...