4.3 Article

Discrimination and Sleep Impairment in American Indians and Alaska Natives

Journal

ANNALS OF BEHAVIORAL MEDICINE
Volume 56, Issue 9, Pages 969-976

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/abm/kaab097

Keywords

American Indians and Alaska Natives; Sleep impairment; Discrimination; Socioeconomic status

Funding

  1. American Heart Association [15SFDRN24180024, 15SFDRN25090330]

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This study investigated the association between interpersonal discrimination and sleep impairment in urban AI/AN. The results showed that lifetime discrimination was associated with sleep impairment, while past-week discrimination was not. Furthermore, education was found to buffer the effects of discrimination on sleep, but income was not.
Background Sleep impairment may be a key pathway through which discrimination undermines health. Links between discrimination and sleep in American Indians and Alaska Natives (AI/AN) have not been established. Further, it is unclear if such links might depend on the timing of discrimination or if socioeconomic status (SES) might buffer the impact of discrimination. Purpose To investigate associations between interpersonal discrimination and sleep impairment in urban AI/AN, for both lifetime and recent discrimination, and controlling for other life stressors. Education and income, indices of SES, were tested as potential moderators. Methods A community sample of urban AI/AN (N = 303, 18-78 years old, 63% female) completed self-report measures of sleep impairment, lifetime and recent discrimination, depressive symptoms, perceived stress, other life stressors (childhood adversity and past year major events), and socio-demographic characteristics. Results Lifetime discrimination was associated with impaired sleep in AI/AN after adjustment for socio-demographic characteristics, recent depressive symptoms, perceived stress, and other life stressors. Past-week discrimination was associated with sleep in unadjusted but not adjusted models. Education, but not income, was found to buffer the effects of both lifetime and past-week discrimination on sleep in adjusted models. Conclusion Lifetime discrimination uniquely accounts for sleep impairment and may be especially harmful in those with less education. These findings suggest targeting interventions to those most in need. Limitations include the cross-sectional nature of the data. Longitudinal and qualitative work is needed to understand how education may buffer the effects of discrimination on sleep and perhaps other health problems in AI/AN.

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