Attitudes and beliefs about sleep health among a racially and ethnically diverse sample of overweight/obese adults

Sleep Health(2023)

引用 0|浏览0
暂无评分
摘要
Objectives: To identify and compare how sleep-related attitudes and beliefs vary among racially and ethnically diverse adults with risk factors for cardio-metabolic disease.Methods: This exploratory qualitative study used online focus group discussions (N = 4 groups among 17 individuals) to collect information about sleep attitudes, beliefs, and practices following participation in the Mindfulness Intervention to Improve Sleep and Reduce Diabetes Risk Among a Diverse Sample in Atlanta (MINDS) study. A rapid analyses approach was used to identify shared themes related to attitudes and beliefs about sleep health and sleep practices across participants.Results: Participants on average were 31 years old, 88% female, and identified as Black/African American (52.9%), White (17.7%), Asian (11.8%), and Hispanic (17.7%). Three themes related to attitudes and beliefs about sleep health were identified: prioritization of sleep to improve one's overall health, re-evaluating sleep needs, and interpersonal barriers to sleep. For Black/African American participants prioritizing sleep was coupled with a want to minimize stress as a long-term health promotion strategy, whereas individuals of other races/ethnicities were more focused on the immediate benefits of getting sufficient sleep. Individuals had reappraised their sleep needs and worked to improve their sleep hygiene accordingly, yet still experienced barriers to sleep. The most common barrier to sleep was sharing a sleep environment with someone who had conflicting sleep routines and practices. Conclusion: The results of this study suggest perceived benefits of and barriers to sleep vary by race/ethnicity, thus future interventions should be culturally tailored to enhance effectiveness. (c) 2023 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.
更多
查看译文
关键词
Sleep barriers,Disparities,Cardiometabolic risk,Stress
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要