Intersectional sleep disparities: association between multiple social intersections, perceived neighborhood deprivation, and sleep disturbance in Europe

The prevalence of sleep disturbance, related with social status and privilege, is unevenly distributed within societies. Individual social determinants that are embedded within broader neighborhood contexts intersect and jointly shape sleep disparities. This study incorporates a quantitative intersectional framework to better understand the structural inequalities in sleep disturbance for older adults, focusing on the social-ecological model of sleep and how individual and social context factors interact. Our sample consisted of 17 035 individuals aged 50+ from waves 4 and 5 of the Survey of Health, Aging and Retirement in Europe (SHARE). We created 72 unique intersectional strata by interacting individual axes of social inequality (sex/gender, family caregiving, education, occupation) with perceived neighborhood deprivation. To investigate the variations in sleep disturbance across intersectional strata, we employed intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA). Intersectional strata explained a fair magnitude of the variance in sleep disturbance (6.3%). The most disadvantaged groups, particularly women with low education, low-skill occupations who were caregivers in perceived highly-deprived neighborhoods, exhibited the largest number of sleep disturbance. Sex/gender and perceived neighborhood deprivation were the main predictors of such differences. While some multiplicative effects were found, additive effects predominated. Given the importance of sleep for health, coupled with increasing social inequalities, our findings suggest that intersectionality is a valuable framework for mapping and addressing sleep disparities. Tailored interventions should go beyond individual factors to include community-level measures, targeting socially vulnerable groups, especially women experiencing neighborhood deprivation.

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Publication Details

Journal
European Journal of Public Health
Published
2025-08-18
DOI
https://doi.org/10.1093/eurpub/ckaf130
Citations
1
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
2.17

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article

Intersectional sleep disparities: association between multiple social intersections, perceived neighborhood deprivation, and sleep disturbance in Europe

Xuejie Ding, David Richter, Julie Lorraine O’Sullivan, Enrique Alonso-Pérez et al.
1 citations
European Journal of Public Health
Health disparities and outcomes
2.17
article

Intersectional sleep disparities: association between multiple social intersections, perceived neighborhood deprivation, and sleep disturbance in Europe

Xuejie Ding, David Richter, Julie Lorraine O’Sullivan, Enrique Alonso-Pérez, Paul R. Gellert
article en
1 citations

Abstract

The prevalence of sleep disturbance, related with social status and privilege, is unevenly distributed within societies. Individual social determinants that are embedded within broader neighborhood contexts intersect and jointly shape sleep disparities. This study incorporates a quantitative intersectional framework to better understand the structural inequalities in sleep disturbance for older adults, focusing on the social-ecological model of sleep and how individual and social context factors interact. Our sample consisted of 17 035 individuals aged 50+ from waves 4 and 5 of the Survey of Health, Aging and Retirement in Europe (SHARE). We created 72 unique intersectional strata by interacting individual axes of social inequality (sex/gender, family caregiving, education, occupation) with perceived neighborhood deprivation. To investigate the variations in sleep disturbance across intersectional strata, we employed intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA). Intersectional strata explained a fair magnitude of the variance in sleep disturbance (6.3%). The most disadvantaged groups, particularly women with low education, low-skill occupations who were caregivers in perceived highly-deprived neighborhoods, exhibited the largest number of sleep disturbance. Sex/gender and perceived neighborhood deprivation were the main predictors of such differences. While some multiplicative effects were found, additive effects predominated. Given the importance of sleep for health, coupled with increasing social inequalities, our findings suggest that intersectionality is a valuable framework for mapping and addressing sleep disparities. Tailored interventions should go beyond individual factors to include community-level measures, targeting socially vulnerable groups, especially women experiencing neighborhood deprivation.

European Journal of Public HealthVol. 35(5)
WZB Berlin Social Science Center (DE), Humboldt-Universität zu Berlin (DE), Einstein Center Digital Future (DE), German Centre for Cardiovascular Research (DE), Versuchs- und Lehranstalt für Brauerei in Berlin (DE), Einstein Center for Neurosciences Berlin (DE), Berlin Heart (Germany) (DE), Freie Universität Berlin (DE), University of Hong Kong (HK)
European Commission, Deutsche Forschungsgemeinschaft, Max-Planck-Gesellschaft, Einstein Stiftung Berlin, Horizon 2020 Framework Programme
Reduced inequalities
Openalex Percentile: Top 12%
Health disparities and outcomes
2.17
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