Early-life inequalities and Biological Ageing: A Multi-System Biological Health Score approach in the Understanding Society Study.
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Published version
Author(s)
Type
Journal Article
Abstract
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 the Understanding Society panel study including 9,088 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 socio-economic 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 seem 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.
Using data from one wave of the Understanding Society panel study including 9,088 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 socio-economic 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 seem 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.
Date Issued
2019-07-10
Date Acceptance
2019-03-13
Citation
Journal of Epidemiology and Community Health
ISSN
0143-005X
Publisher
BMJ Publishing Group
Start Page
693
End Page
702
Journal / Book Title
Journal of Epidemiology and Community Health
Volume
73
Issue
8
Copyright Statement
© 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/.
Sponsor
Commission of the European Communities
Cancer Research UK
Medical Research Council (MRC)
Identifier
https://jech.bmj.com/content/73/8/693
Grant Number
633666
‘Mechanomics’ PRC project grant 22184
MR/L01341X/1
Subjects
Science & Technology
Life Sciences & Biomedicine
Public, Environmental & Occupational Health
biomarkers
biological ageing
social epidemiology
ALLOSTATIC LOAD
NETWORK MEDICINE
MACARTHUR
MORTALITY
biological ageing
biomarkers
social epidemiology
1117 Public Health and Health Services
1604 Human Geography
Epidemiology
Publication Status
Published
Date Publish Online
2019-04-03