Cumulative lifetime psychosocial adversity accounted for 6.2% (95% CI: 2.2-11.0%) of the Black-White disparity in sleep health scores when adversity was set to the overall sample average.
Observational (n=1,391)
Sí
Does cumulative psychosocial adversity explain Black-White disparities in sleep health scores among adults?
Cumulative psychosocial adversity across the life course contributes significantly to Black-White disparities in sleep health.
Abstract Introduction Black Americans experience disproportionately poor sleep health, yet the mechanisms underlying these disparities remain incompletely understood. Psychosocial adversity throughout the life course including discrimination, chronic stress, and early life adversity (ELA) is linked to sleep health and may explain racial disparities in sleep. This study evaluated whether psychosocial adversities individually and cumulatively explained Black–White disparities in a composite measure of multidimensional sleep health in the Multi-Ethnic Study of Atherosclerosis (MESA). Methods We analyzed 1,391 Black and White adults from the MESA-Sleep Study (2010–2013). Sleep health scores (SHS) (range: 0–9) were derived from 7-day actigraphy and questionnaires. Psychosocial adversities included lifetime and everyday discrimination, chronic stress burden, and ELA. A cumulative lifetime adversity (CLA) score was created as the mean of percent-of-maximum-possible (POMP)-standardized domains (range: 0-100 index; higher scores indicate greater cumulative adversity). Counterfactual disparity measure (CDM) analyses with marginal structural models with inverse probability weighting estimated the proportion of the Black-White SHS disparity attributable to psychosocial adversities, individually and cumulatively. The CDM analyses compared the observed disparity with the disparity expected if adversity levels were set to a fixed values (none 0% or average ≤17%) for both racial groups. Results Black participants had lower SHS than White participants (mean SD: 4.6 1.4 vs 5.6 1.7) and greater exposure to discrimination, chronic stress, and higher CLA scores. Discrimination and chronic stress burden were associated lower SHS after adjustment for sociodemographics, while ELA was not. CDM analyses indicated that individual psychosocial adversities did not explain Black-White disparities in SHS. In contrast, CLA accounted for 6.2% (95% CI: 2.2%, 11.0%) of the disparity when CLA was set to the overall sample average and 2.4% (95% CI: 0.0%, 4.0%) when adversity was set to none. Conclusion Cumulative psychosocial adversity, but not the individual components contributed to Black–White disparities in SHS. These findings highlight the contribution of clustering of multiple adversities across the life course to racial disparities in sleep. However, eliminating these disparities will require addressing systematic determinants of sleep, including social and physical environmental conditions, alongside to strengthening resilience among populations most burdened by psychosocial adversity. Support (if any) 5T32HL130025-09 Laney Graduate School at Emory University ARCS Foundation Atlanta
White et al. (Fri,) llevaron a cabo una observación sobre las disparidades en la salud del sueño (n=1,391). Se evaluó la adversidad psicosocial acumulativa a lo largo de la vida sobre la proporción de la disparidad en el puntaje de salud del sueño entre negros y blancos atribuible a la adversidad acumulativa a lo largo de la vida (ajustado a la media de la muestra) (IC 95% 2.2-11.0). La adversidad psicosocial acumulativa a lo largo de la vida representó el 6.2% (IC 95%: 2.2-11.0%) de la disparidad en los puntajes de salud del sueño entre negros y blancos cuando la adversidad se ajustó a la media general de la muestra.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: