Correlates of poor sleep based upon wrist actigraphy data in bipolar disorder

被引:3
|
作者
Kaufmann, Christopher N. [1 ]
Lee, Ellen E. [2 ,3 ,4 ]
Wing, David [5 ]
Sutherland, Ashley N. [2 ]
Christensen, Celestine [6 ]
Ancoli-Israel, Sonia [2 ,3 ]
Depp, Colin A. [2 ,3 ,4 ]
Yoon, Ho-Kyoung [7 ]
Soontornniyomkij, Benchawanna [2 ]
Eyler, Lisa T. [2 ,3 ,4 ]
机构
[1] Univ Florida, Coll Med, Div Epidemiol & Data Sci Gerontol, Dept Aging & Geriatr Res, 2004 Mowry Rd, Gainesville, FL 32603 USA
[2] Univ Calif San Diego, Sch Med, Dept Psychiat, La Jolla, CA 92093 USA
[3] Univ Calif San Diego, Sch Med, Stein Inst Res Aging, La Jolla, CA 92093 USA
[4] Vet Affairs San Diego Healthcare Syst, La Jolla, CA USA
[5] Univ Calif San Diego, Ctr Wireless & Populat Hlth Syst, La Jolla, CA 92093 USA
[6] State Univ New York Downstate Coll Med, Brooklyn, NY USA
[7] Korea Univ, Coll Med, Dept Psychiat, Seoul, South Korea
基金
美国国家卫生研究院;
关键词
Sleep; Bipolar disorder; Actigraphy; Data reduction; WAKE IDENTIFICATION; RATING-SCALE; DURATION; DISTURBANCE; DEPRESSION; ADULTS; METAANALYSIS; SYMPTOMS; INSOMNIA; VALIDITY;
D O I
10.1016/j.jpsychires.2021.06.038
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Background: Wrist-worn actigraphy can objectively measure sleep, and has advantages over self-report, particularly for people with Bipolar Disorder (BD) for whom self-reports might be influenced by affect. Clinically useful data reduction approaches are needed to explore these complex data. Methods: We created a composite score of sleep metrics in BD based on 51 BD and 80 healthy comparison (HC) participants. Subjects wore an actigraph for up to 14 consecutive 24-h periods, and we assessed total sleep time (TST), wake after sleep onset (WASO), percent sleep (PS), and number of awakenings (NA). We focused on participants who had at least 5 nights of actigraphy data. We computed z-scores for within-person means of sleep measures for BD subjects versus HCs, which were averaged to create a composite measure. We correlated this composite with participant characteristics, and used LASSO regression to identify sleep measures best explaining variability in identified correlates. Results: Sleep measures and the composite did not differ between BDs and HCs; however, there was considerable variability in z-scores among those with BD. In BDs, the composite score was higher in women (t(49) = 2.28, p = 0.027) and those who were employed (t(34) = 2.34, p = 0.025), and positively correlated with medication load (r = 0.41, p = 0.003) while negatively correlated with Young Mania Rating Scale (YMRS; r = -0.35, p = 0.030). In LASSO regression, TST and NA best explained medication load while PS best explained employment and YMRS. Conclusion: While a composite score of sleep metrics may provide useful information about sleep quality globally, our findings suggest that selection of theory-driven sleep measures may be more clinically meaningful.
引用
收藏
页码:385 / 389
页数:5
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