ArticleBMC public health2016
The importance of age, sex and place in understanding socioeconomic inequalities in allostatic load: Evidence from the Scottish Health Survey (2008-2011).
Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Allostatic Load Measurement: A Systematic Review of Reviews, Database Inventory, and Considerations for Neighborhood Research.International journal of environmental research and public health · 2022Pooled it
- Socioeconomic inequalities in allostatic load in a large Norwegian cohort study: the NCDNOR project.Journal of epidemiology and community health · 2026Article
- Associations between sedentary behavior and allostatic load: The 1970 British Cohort Study.Psychoneuroendocrinology · 2026Article
- Integration of lung function in allostatic load scoring and its impact on mortality prediction.Scientific reports · 2026Article
- Racial and Social Inequities in Weathering: the ELSA-Brasil Cohort.Journal of racial and ethnic health disparities · 2025Article
- Allostatic load and cancer risk, progression, and mortality in epidemiologic studies.American journal of epidemiology · 2025Article
- Allostatic load and its determinants in a German sample-Results from the Carla cohort.PloS one · 2025Article
- Association of Unhealthy Lifestyle and Childhood Adversity With Acceleration of Aging Among UK Biobank Participants.JAMA network open · 2022Article
- Comparing different operationalizations of allostatic load measured in mid-life and their patterning by race and cumulative life course socioeconomic status.Psychoneuroendocrinology · 2022Article
- Recasting the Immigrant Health Paradox Through Intersections of Legal Status and Race.Journal of immigrant and minority health · 2021Review
- Article
- Neighbourhood socioeconomic deprivation and allostatic load: a multi-cohort study.Scientific reports · 2019Article
- Article
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Abstract
backgroundGiven the broad spectrum of health and wellbeing outcomes that are patterned by socioeconomic position (SEP), it has been suggested that there may be common biological pathways linking SEP and health. Allostatic load is one such pathway, which aims to measure cumulative burden/dysregulation across multiple physiological systems. This study aimed to determine the contextual and demographic factors (age, sex and place) that may be important in better understanding the links between lower SEP and higher allostatic load.
methodsData were from a nationally representative sample of adults (18+): the Scottish Health Survey (2008-2011). Higher SEP ('1') was defined as having 'Higher'-level, secondary school qualifications versus having lower level or no qualifications ('0'). For allostatic load, a range of 10 biomarkers across the cardiovascular, metabolic and immune systems were used. Respondents were scored "1" for each biomarker that fell into the highest quartile of risk. Linear regressions were run in STATA, including SEP, age (continuous and as a 7-category variable), sex (male/female), urbanity (a 5-category variable ranging from primary cities to remote rural areas) and geographical location (based on 10 area-level healthboards). Interactions between SEP and each predictor, as well as stratified analyses, were tested.
resultsLower SEP was associated with higher allostatic load even after adjusting for age, sex and place (b = -0.631, 95 % CI -0.795, -0.389, p < 0.001). There was no significant effect moderation between SEP and age, sex or place. Stratified analysis did show that the inequality identified in the baseline models widened with age, becoming significant at ages 35-44, before narrowing at older ages (75+). There was no difference by sex, but more mixed findings with regards place (urbanity or geographical location), with a mix of significant and non-significant results by SEP that did not appear to follow any pattern.
conclusionsInequalities in allostatic load by educational attainment, as a measure of SEP, are consistent with age, sex and place. However, these stratified analyses showed that these inequalities did widen with age, before narrowing in later life, matching the patterns seen with other objective and subjective health measures. However, effect moderation analysis did not support evidence of a statistically significant interaction between age and SEP. Context remains an important feature in understanding and potentially addressing inequalities, although may be less of an issue in terms of physiological burden.
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