Background: Despite remarkable achievements in ensuring health equity, racial/ethnic disparities in sleep still persist and are emerging as a major area of concern. Accumulating evidence has not yet been well characterized from a broad perspective. We conducted a scoping review of studies on sleep disparities by race/ethnicity to summarize characteristics of existing studies and identify evidence gaps.
Methods: We searched PubMed, CINAHL, PsycINFO, and Web of Science databases for studies of racial/ethnic disparities in sleep. Studies that met inclusion criteria were retrieved and organized in a data charting form by study design, sleep measuring methods, sleep features, and racial/ethnic comparisons.
Results: One hundred sixteen studies were included in this review. Most studies focused on disparities between Whites and Blacks. Disproportionately fewer studies examined disparities for Hispanic, Asian, and other racial/ethnic groups. Self-reported sleep was most frequently used. Sleep duration, overall sleep quality, and sleep disordered breathing were frequently studied, whereas other features including sleep efficiency, latency, continuity, and architecture were understudied, particularly in racial minority groups in the US. Current study findings on racial/ethnic disparities in most of sleep features is mixed and inconclusive.
Conclusions: This review identified significant evidence gaps in racial/ethnic disparities research on sleep. Our results suggest a need for more studies examining diverse sleep features using standardized and robust measuring methods for more valid comparisons of sleep health in diverse race/ethnicity groups.
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http://dx.doi.org/10.1016/j.sleep.2021.02.027 | DOI Listing |
Nicotine Tob Res
January 2025
Behavioral Health and Health Policy, Westat, 1600 Research Blvd, Rockville, MD 20850, United States.
Introduction: Pregnant people who smoke constitute a uniquely vulnerable population likely to be impacted by a menthol cigarette (MC) ban. However, there are no published reports of prevalence of prenatal MC use in a nationally-representative US sample including racial-ethnic disparities and associated characteristics.
Methods: Participants were 1245 US pregnant people who smoked MC or non-MC (NMC) in the past 30-days from the 2010-2019 National Survey on Drug Use and Health.
Acute lymphoblastic leukemia (ALL) is the most common childhood cancer, with Hispanic/Latino children having a higher incidence of ALL than other racial/ethnic groups. Genetic variants, particularly ones found enriched in Indigenous American (IA)-like ancestry and inherited by Hispanics/Latinos, may contribute to this disparity. In this study, we characterized the impact of IA-like ancestry on overall ALL risk and the frequency and effect size of known risk alleles in a large cohort of self-reported Hispanic/Latino individuals.
View Article and Find Full Text PDF: The chronic kidney disease (CKD) burden in the US varies by race/ethnicity. It was unclear whether nativity status influences these disparities. This study compared CKD prevalence by nativity status, race and ethnicity, and length of US residence.
View Article and Find Full Text PDFJ Dtsch Dermatol Ges
January 2025
Department of Dermatology, Stony Brook University Medical Center, Stony Brook, New York, USA.
Background: Current research on hirsutism reveals disparities and knowledge deficiencies, particularly in underrepresented cohorts. Our objective is to scrutinize demographic variances in hirsutism rates.
Patients And Methods: Using the All of Us database, we conducted a cross-sectional analysis encompassing 172,401 women.
J Alzheimers Dis
January 2025
Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA.
Background: Survival after an Alzheimer's disease (AD) diagnosis is vital for patients, their families, caregivers, and healthcare providers. Hawaii, known for its diverse ethnic population, exhibits significant racial health disparities.
Objective: This study examined racial/ethnic and socioeconomic disparities in AD survival in Hawaii and developed machine learning models to predict overall survival using Hawaii Medicare data.
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