Impact of Sleep Profiles on Multimorbidity Among US Active-Duty Service Members in the 2018 Health-Related Behaviors Survey

被引:0
|
作者
Weinberger, Marina [1 ]
Ahmed, Anwar E. [1 ,2 ]
Singer, Darrell E. [1 ,2 ]
机构
[1] Uniformed Serv Univ Hlth Sci, Sch Med, Bethesda, MD 20814 USA
[2] Uniformed Serv Univ Hlth Sci, Dept Prevent Med & Biostat, Bethesda, MD 20814 USA
来源
关键词
sleep; multimorbidity; hypertension; obesity; hyperlipidemia; military; DURATION; HYPERTENSION; MEDICINE; TRENDS; RISK;
D O I
10.2147/NSS.S434813
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Purpose: Sleep is a modifiable factor affecting chronic diseases and conditions in the Active-Duty (AD) United States (US) military population. This study assesses the impact of reported sleep health behaviors and sleep profiles on reported multimorbidity in active duty service members. Participants and methods: The study used a military representative sample of 17,166 active duty SMs from the 2018 Department of Defense Health Related Behaviors Survey (HRBS) to explore sleep patterns and profiles, and medical conditions. Multimorbidity was defined as the presence of two or more medical conditions which we limited to include obesity, hypertension, and hyperlipidemia. The adjusted odds ratios for six sleep-related health behaviors and their unobservable sleep profiles were calculated using a weighted multinomial logistic model. Results: Sleep-related health behaviors were associated with increased odds of obesity, hypertension, and hyperlipidemia. We found higher odds of reported multimorbidity in SMs who reported lack of energy due to poor sleep (adjusted odds ratio [aOR] = 2.35, 95% CI:1.88-2.93), sleep 6 hours or less per night (aOR = 1.95, 95% CI:1.53-2.50), trouble sleeping (aOR = 2.19, 95% CI:1.76-2.72), and use of sleep medications (aOR = 2.10, 95% CI:1.64-2.68). Latent class analysis (LCA) identified three unobservable sleep profiles in SMs: minimal or low-risk sleep patterns (37.43%), moderate-risk sleep patterns (31.11%), and high-risk sleep patterns (31.46%). SMs with high-risk sleep patterns were significantly associated with reported multimorbidity (adjusted odds ratio [aOR] = 3.54, 95% Conclusion: We found a strong association between sleep-related health behaviors and their unobservable sleep profiles with multimorbidity in this AD population. Future studies should investigate whether other chronic diseases may be influenced by sleep impairment in the US military population.
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页码:1019 / 1032
页数:14
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