Allostatic load and subsequent all-cause mortality: which biological markers drive the relationship? Findings from a UK birth cohort

dc.contributor.authorCastagné R
dc.contributor.authorGarès V
dc.contributor.authorKarimi M
dc.contributor.authorChadeau-Hyam M
dc.contributor.authorVineis P
dc.contributor.authorDelpierre C
dc.contributor.authorKelly-Irving M
dc.contributor.authorLifepath Consortium
dc.contributor.organizationfi=sydäntutkimuskeskus|en=Cardiovascular Medicine (CAPC)|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.35734063924
dc.converis.publication-id38017772
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/38017772
dc.date.accessioned2022-10-27T12:27:06Z
dc.date.available2022-10-27T12:27:06Z
dc.description.abstract<p>The concept of allostatic load (AL) refers to the idea of a global physiological ‘wear and tear’ resulting from the adaptation to the environment through the stress response systems over the life span. The link between socioeconomic position (SEP) and mortality has now been established, and there is evidence that AL may capture the link between SEP and mortality. In order to quantitatively assess the role of AL on mortality, we use data from the 1958 British birth cohort including eleven year mortality in 8,113 adults. Specifically, we interrogate the hypothesis of a cumulative biological risk (allostatic load) reflecting 4 physiological systems potentially predicting future risk of death (N = 132). AL was defined using 14 biomarkers assayed in blood from a biosample collected at 44 years of age. Cox proportional hazard regression analysis revealed that higher allostatic load at 44 years old was a significant predictor of mortality 11 years later [HR = 3.56 (2.3 to 5.53)]. We found that this relationship was not solely related to early-life SEP, adverse childhood experiences and young adulthood health status, behaviours and SEP [HR = 2.57 (1.59 to 4.15)]. Regarding the ability of each physiological system and biomarkers to predict future death, our results suggest that the cumulative measure was advantageous compared to evaluating each physiological system sub-score and biomarker separately. Our findings add some evidence of a biological embodiment in response to stress which ultimately affects mortality.<br /></p>
dc.format.pagerange441
dc.format.pagerange458
dc.identifier.jour-issn0393-2990
dc.identifier.olddbid175591
dc.identifier.oldhandle10024/158685
dc.identifier.urihttps://www.utupub.fi/handle/11111/31050
dc.identifier.urnURN:NBN:fi-fe2021042823839
dc.language.isoen
dc.okm.affiliatedauthorRaitakari, Olli
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3121 Internal medicineen_GB
dc.okm.discipline3142 Public health care science, environmental and occupational healthen_GB
dc.okm.discipline3121 Sisätauditfi_FI
dc.okm.discipline3142 Kansanterveystiede, ympäristö ja työterveysfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.relation.doi10.1007/s10654-018-0364-1
dc.relation.ispartofjournalEuropean Journal of Epidemiology
dc.relation.issue5
dc.relation.volume33
dc.source.identifierhttps://www.utupub.fi/handle/10024/158685
dc.titleAllostatic load and subsequent all-cause mortality: which biological markers drive the relationship? Findings from a UK birth cohort
dc.year.issued2018

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