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Early-life inequalities and biological ageing: a multisystem Biological Health Score approach in U nderstanding S ociety

Social position is known to play a role in the quality of ageing, notably through the stimulation/dysregulation of key physiological systems in response to external stresses. Using data from one wave of Understanding Society including 9088 participants, we defined, as an extension of the allostatic...

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Autores principales: Karimi, Maryam, Castagné, Raphaële, Delpierre, Cyrille, Albertus, Gaëlle, Berger, Eloïse, Vineis, Paolo, Kumari, Meena, Kelly-Irving, Michelle, Chadeau-Hyam, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678052/
https://www.ncbi.nlm.nih.gov/pubmed/30944170
http://dx.doi.org/10.1136/jech-2018-212010
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author Karimi, Maryam
Castagné, Raphaële
Delpierre, Cyrille
Albertus, Gaëlle
Berger, Eloïse
Vineis, Paolo
Kumari, Meena
Kelly-Irving, Michelle
Chadeau-Hyam, Marc
author_facet Karimi, Maryam
Castagné, Raphaële
Delpierre, Cyrille
Albertus, Gaëlle
Berger, Eloïse
Vineis, Paolo
Kumari, Meena
Kelly-Irving, Michelle
Chadeau-Hyam, Marc
author_sort Karimi, Maryam
collection PubMed
description Social position is known to play a role in the quality of ageing, notably through the stimulation/dysregulation of key physiological systems in response to external stresses. Using data from one wave of Understanding Society including 9088 participants, we defined, as an extension of the allostatic load, a synthetic Biological Health Score (BHS) capturing the wear-and-tear of four physiological systems (endocrine, inflammatory, cardiovascular and metabolic systems) and two organs (liver and kidney). We used 16 established blood-derived biomarkers of these systems to calculate the BHS and explored the relative contribution of socioeconomic position to the BHS and its main components across age groups. We identified a systematic decreasing education-related gradient of the BHS (p<0.001) leading to lower biological risk in participants with longer education. Education-related differences in the BHS were detected early in life, and were not attributable to lifestyle and behavioural factors. We found a consistent contribution of the inflammatory and metabolic systems to the overall score throughout from early adulthood onwards, while the contribution of the other four systems seems to vary across age groups and gender. Our findings highlight the social-to-biological processes ultimately leading to health inequalities, and suggest that such disparities can already be detected in the 20–40 years old age group and cannot be fully explained by lifestyle and behavioural factors. This may define early adulthood social condition as a precursor to accelerated biological ageing and as an important target for public health policies.
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spelling pubmed-66780522019-08-16 Early-life inequalities and biological ageing: a multisystem Biological Health Score approach in U nderstanding S ociety Karimi, Maryam Castagné, Raphaële Delpierre, Cyrille Albertus, Gaëlle Berger, Eloïse Vineis, Paolo Kumari, Meena Kelly-Irving, Michelle Chadeau-Hyam, Marc J Epidemiol Community Health Research Report Social position is known to play a role in the quality of ageing, notably through the stimulation/dysregulation of key physiological systems in response to external stresses. Using data from one wave of Understanding Society including 9088 participants, we defined, as an extension of the allostatic load, a synthetic Biological Health Score (BHS) capturing the wear-and-tear of four physiological systems (endocrine, inflammatory, cardiovascular and metabolic systems) and two organs (liver and kidney). We used 16 established blood-derived biomarkers of these systems to calculate the BHS and explored the relative contribution of socioeconomic position to the BHS and its main components across age groups. We identified a systematic decreasing education-related gradient of the BHS (p<0.001) leading to lower biological risk in participants with longer education. Education-related differences in the BHS were detected early in life, and were not attributable to lifestyle and behavioural factors. We found a consistent contribution of the inflammatory and metabolic systems to the overall score throughout from early adulthood onwards, while the contribution of the other four systems seems to vary across age groups and gender. Our findings highlight the social-to-biological processes ultimately leading to health inequalities, and suggest that such disparities can already be detected in the 20–40 years old age group and cannot be fully explained by lifestyle and behavioural factors. This may define early adulthood social condition as a precursor to accelerated biological ageing and as an important target for public health policies. BMJ Publishing Group 2019-08 2019-04-03 /pmc/articles/PMC6678052/ /pubmed/30944170 http://dx.doi.org/10.1136/jech-2018-212010 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Report
Karimi, Maryam
Castagné, Raphaële
Delpierre, Cyrille
Albertus, Gaëlle
Berger, Eloïse
Vineis, Paolo
Kumari, Meena
Kelly-Irving, Michelle
Chadeau-Hyam, Marc
Early-life inequalities and biological ageing: a multisystem Biological Health Score approach in U nderstanding S ociety
title Early-life inequalities and biological ageing: a multisystem Biological Health Score approach in U nderstanding S ociety
title_full Early-life inequalities and biological ageing: a multisystem Biological Health Score approach in U nderstanding S ociety
title_fullStr Early-life inequalities and biological ageing: a multisystem Biological Health Score approach in U nderstanding S ociety
title_full_unstemmed Early-life inequalities and biological ageing: a multisystem Biological Health Score approach in U nderstanding S ociety
title_short Early-life inequalities and biological ageing: a multisystem Biological Health Score approach in U nderstanding S ociety
title_sort early-life inequalities and biological ageing: a multisystem biological health score approach in u nderstanding s ociety
topic Research Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678052/
https://www.ncbi.nlm.nih.gov/pubmed/30944170
http://dx.doi.org/10.1136/jech-2018-212010
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