<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Bloomberg M</submitter><funding>Economic and Social Research Council</funding><funding>National Institute on Ageing</funding><pagination>afaf067</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11954548</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>54(4)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Physiological age (PA) derived from clinical indicators including blood-based biomarkers and tests of physiological function can be compared with chronological age to examine disparities in health between older adults of the same age. Though education interacts with sex to lead to inequalities in healthy ageing, their combined influence on longitudinally measured PA has not been explored. We derived PA based on longitudinally measured clinical indicators and examined how sex and education interact to inform PA trajectories.&lt;h4>Methods&lt;/h4>Three waves of clinical indicators (2004/05-2012/13) drawn from the English Longitudinal Study of Ageing (ages 50-100 years) were used to estimate PA, which was internally validated by confirming associations with incident chronic condi</pubmed_abstract><journal>Age and ageing</journal><pubmed_title>Sex and education differences in trajectories of physiological ageing: longitudinal analysis of a prospective English cohort study.</pubmed_title><pmcid>PMC11954548</pmcid><funding_grant_id>R01AG017644</funding_grant_id><funding_grant_id>ES/T014091/1</funding_grant_id><pubmed_authors>Steptoe A</pubmed_authors><pubmed_authors>Bloomberg M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Sex and education differences in trajectories of physiological ageing: longitudinal analysis of a prospective English cohort study.</name><description>&lt;h4>Background&lt;/h4>Physiological age (PA) derived from clinical indicators including blood-based biomarkers and tests of physiological function can be compared with chronological age to examine disparities in health between older adults of the same age. Though education interacts with sex to lead to inequalities in healthy ageing, their combined influence on longitudinally measured PA has not been explored. We derived PA based on longitudinally measured clinical indicators and examined how sex and education interact to inform PA trajectories.&lt;h4>Methods&lt;/h4>Three waves of clinical indicators (2004/05-2012/13) drawn from the English Longitudinal Study of Ageing (ages 50-100 years) were used to estimate PA, which was internally validated by confirming associations with incident chronic condi</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Mar</publication><modification>2025-07-13T03:04:15Z</modification><creation>2025-07-13T03:04:15Z</creation></dates><accession>S-EPMC11954548</accession><cross_references><pubmed>40156883</pubmed><doi>10.1093/ageing/afaf067</doi></cross_references></HashMap>