title: Lifelong Socio Economic Position and biomarkers of later life health: testing the contribution of competing hypotheses.
abstract: The relative contribution of early or later life Socio Economic Position (SEP) to later life health is not fully understood and there are alternative hypotheses about the pathways through which they may influence health. We used data from the English Longitudinal Study of Ageing with a formal approach for the identification of mediating factors in order to investigate alternative hypotheses about life course influences on biomarkers of later life health. We found that early life SEP predicts physical health at least 65 years later. However, a more complicated pattern of associations than that implied by previous findings was also observed. Age group specific effects emerged, with current SEP dominating the effect on later life physical health and fibrinogen levels in participants under 65, while early life SEP had a more prominent role in explaining inequalities in physical health for men and women over 75. We extend previous findings on mid adulthood and early old age, to old age and the beginnings of late old age. The complexity of our findings highlights the need for further research on the mechanisms that underlie the association between SEP and later life health.
authors.affiliation: Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, United Kingdom; Centre for Statistical Methodology, Department of Medical Statistics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, United Kingdom. Electronic address: George.Ploubidis@LSHTM.ac.uk.
authors.forename: George B
authors.initials: GB
authors.lastname: Ploubidis
authors.affiliation: Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, United Kingdom.
authors.forename: Lenka
authors.initials: L
authors.lastname: Benova
authors.affiliation: Department of Geography, University of Cambridge, United Kingdom.
authors.forename: Emily
authors.initials: E
authors.lastname: Grundy
authors.affiliation: Faculty of Medicine, Imperial College, United Kingdom.
authors.forename: Daniel
authors.initials: D
authors.lastname: Laydon
authors.affiliation: Centre for Statistical Methodology, Department of Medical Statistics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, United Kingdom.
authors.forename: Bianca
authors.initials: B
authors.lastname: DeStavola
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000502:physiology*; D015415:Biomarkers; D004739:England / Q000453:epidemiology; D005260:Female; D005340:Fibrinogen / Q000032:analysis; D006304:Health Status; D054624:Health Status Disparities; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D012737:Sex Factors; D012959:Socioeconomic Factors
chemical_list: D015415:Biomarkers; D005340:Fibrinogen
keywords: Ageing; Biomarkers; Causal mediation; Health inequalities; Later life; Life course theory; Socio Economic Position; Structural equation modelling