医学
白天过度嗜睡
心理学
睡眠债
肥胖
重性抑郁障碍
睡眠(系统调用)
精神科
抑郁症状
全国健康与营养检查调查
体质指数
睡眠障碍
临床心理学
失眠症
内科学
人口
焦虑
认知
操作系统
环境卫生
计算机科学
作者
Yena Lee,Thirumagal Kanagasabai,Alanna Rigobon,Roger S. McIntyre,Valerie H. Taylor
出处
期刊:PubMed
日期:2019-05-01
卷期号:31 (2): 111-122
被引量:2
摘要
The clustering of sleep alterations, cardiometabolic risk, and depressive symptoms suggests a convergence in their pathophysiology. We quantify the role of depressive symptoms in mediating the association between empirically derived sleep indices and body mass index (BMI).Data were derived from 8,844 adult participants of the 2005 to 2008 US National Health and Nutrition Examination Survey. Factor analysis of the Sleep Disorders Questionnaire was conducted. Ordinary least squares path analysis quantified the effects of sleep indices on BMI directly and indirectly via depressive symptom severity (ie, Patient Health Questionnaire).Three sleep indices were extracted: poor sleep-related functional impairment, sleep disturbance, and daytime sleepiness. The associations between functional impairment, sleep disturbance, and daytime sleepiness and BMI were mediated by the effects of sleep on depressive symptoms (κ2 = 0.02) after adjustment for covariates. Daytime sleepiness was associated with BMI independent of depressive symptoms, whereas poor sleep-related functional impairment and sleep disturbance were not.Higher subjective ratings of sleep-related functional impairment, sleep disturbance, or daytime sleepiness indirectly increased BMI by worsening overall depressive symptom severity. A testable hypothesis is whether preemptive targeting of depressive symptoms in populations with sleep disturbances may decrease risk for obesity and other concurrent metabolic comorbidities.
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