Objectives: Older adults are particularly vulnerable to unhealthy sleep. This study examines the relationship between sleep duration and chronic diseases among older Native Hawaiians or Other Pacific Islanders (NHOPIs) and identifies variations with older Asians.
Methods: In this cross-sectional study, data were analyzed using the 2016 Behavioral Risk Factor Surveillance System. The total sample of adults 50 years and older included 1277 NHOPIs and 4655 Asians. Weighted, survey logistic regressions were employed to analyze the relationship between sleep duration (i.e., short, healthy, and long) and seven chronic diseases: coronary heart disease, stroke, heart attack/myocardial infarction, pre-diabetes, diabetes, chronic obstructive pulmonary disease, and depressive disorder. Sleep duration was categorized into short sleep (SS; ≤ 6 h), healthy sleep (7-8 h), and long sleep (LS; ≥ 9 h), with healthy sleep as the reference group.
Results: Among NHOPIs, SS and LS were significantly related to stroke (OR 3.19, 95% CI: 1.35-7.53 for SS and OR 9.52, 95% CI: 2.99-30.34 for LS) and SS was associated with pre-diabetes (OR 2.22 CI: 1.07-4.59), after adjusting for all covariates. In contrast, Asians with SS and LS reported higher odds of depression (OR 2.40, 95% CI: 1.20-4.79 and OR 5.03, 95% CI: 1.57-16.13, respectively).
Conclusions: Findings suggest older NHOPIs with SS or LS experience worse health. NHOPIs and Asians varied on the relationship between sleep and chronic disease, underscoring the need to disaggregate Asian/NHOPI data to understand health disparities.
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http://dx.doi.org/10.1007/s40615-022-01409-0 | DOI Listing |
J Affect Disord
January 2025
Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA.
Background: Shorter weeknight sleep duration has not been assessed as a mediating mechanism linking earlier pubertal timing to a greater burden of adolescent depression symptoms.
Methods: Among 1138 participants (48.6 % female) from Project Viva, a pre-birth longitudinal cohort, we examined relationships among pubertal timing measures, actigraphy-captured and self-reported weeknight sleep duration across mid-adolescence, and depression symptoms in late adolescence.
Aust Crit Care
January 2025
Department of Health Promotion, Mother and Childcare, Internal Medicine and Medical, Specialties, University of Palermo, Palermo, Italy. Electronic address:
Aim/objective: The aim of this study was to determine risk factors and associations between anxiety, depression, stress, and job burnout and describe sleep disorders in critical care nurses.
Setting: Data were collected in six intensive care units.
Methods: A descriptive cross-sectional design was used.
Rejuvenation Res
January 2025
Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
The study aimed to explore the association between different sleep traits and all-cause mortality as well as to validate causality in the association through mendelian randomization (MR). We analyzed 451,420 European ancestry participants from the UK Biobank. Multivariable-adjusted Cox proportional hazards model was conducted to evaluate the association between sleep traits and all-cause mortality.
View Article and Find Full Text PDFMil Med
January 2025
San Diego State University School of Public Health, San Diego, CA 92182, USA.
Introduction: High occupational stress is generally associated with poorer mental health and reduced performance in military personnel, whereas access to support resources is associated with positive outcomes. However, little research has examined the unique stressors and supports experienced by sailors on ships while underway at sea. The objectives of this study were to (1) identify sailors' underway stressors and supports and (2) examine how these differ as a function of demographic and operational factors.
View Article and Find Full Text PDFFront Oncol
January 2025
Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Objective: The prevalence of long COVID among cancer patients remains unknown. This study aimed to determine the prevalence of long COVID and explore potential risk factors among cancer patients.
Methods: A systematic search was performed on PubMed, Web of Science, and Embase from database inception until 21 March 2024, to identify studies that reported long COVID in cancer patients.
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