Health inequalities: Embodied evidence across biological layers.

Details

Serval ID
serval:BIB_C3AC112CF0FF
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Health inequalities: Embodied evidence across biological layers.
Journal
Social science & medicine
Author(s)
Vineis P., Delpierre C., Castagné R., Fiorito G., McCrory C., Kivimaki M., Stringhini S., Carmeli C., Kelly-Irving M.
ISSN
1873-5347 (Electronic)
ISSN-L
0277-9536
Publication state
Published
Issued date
02/2020
Peer-reviewed
Oui
Volume
246
Pages
112781
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
Socioeconomic disparities have been documented in major non-communicable diseases and in their risk factors, such as obesity, hypertension, diabetes, smoking, physical inactivity, unhealthful diet and heavy drinking. However, a key research question has remained unanswered: is there a separate biological embodiment of socio-economic conditions underlying health disparities, additional and independent of those risk factors? As lifelong socioeconomic circumstances cannot be randomised, one way forward is the examination of different biological layers of evidence, including molecular changes.
In this methodological paper we report the association of socio-economic disadvantage with (a) long-term health outcomes, before and after taking risk factors into account; (b) biological intermediaries that increase susceptibility to disease, such as childhood obesity; (c) intermediate circulating biomarkers and omic measurements (transcriptomics, DNA methylation, inflammatory proteins, allostatic load); and (d) immunity. In our Lifepath consortium, these analyses have been performed in several cohort studies, countries and contexts, and at different stages of the life course in up to 1.7 million subjects. The main goal is to test the assumption that each layer (death, functional outcomes, DNA, RNA, proteins, infections) is characterized by different types of bias and confounding, and that consistency across layers reinforces causality assessment.
The findings show consistent associations of social disparities with unfavourable health outcomes spanning inflammatory biomarkers, DNA or RNA-based markers, infection, indicators of physical functioning and mortality. Although each of these associations has a different set of confounders, a dose-response relationship is nevertheless consistently observed, thus showing the power of our multi-layered approach.
This new evidence supports biological embodiment of social disadvantage, in addition to the impact of known (mainly behavioural) risk factors for disease.
Keywords
Allostasis, Child, Cohort Studies, Health Status Disparities, Humans, Risk Factors, Smoking, Socioeconomic Factors, Aging, Biomarkers, Embodiment, Health, Omics, Socio-economic disparities, Triangulation
Pubmed
Web of science
Create date
29/01/2020 14:43
Last modification date
17/02/2024 7:12
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