体重指数、睡眠持续时间和报告的打鼾和嗜睡症状之间的关系,按年龄分层

David Lin, Weijie Lin
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引用次数: 0

摘要

为了进一步阐明睡眠和身体质量指数(BMI)之间的关系,我们使用了国家健康与营养检查调查(NHANES)的最新数据集。我们的研究值得注意的是纳入了年龄亚群和主观睡眠症状的分析。使用NHANES 2017-18数据集进行横断面研究。采用加权多元回归分析。NHANES是一项标准化的调查,每两年在美国进行一次,对样本人口进行加权,以代表全国人口统计数据。6161名参与者符合纳入标准。测量通过NHANES协议收集,客观测量由训练有素的技术人员收集,自我报告的测量通过问卷收集。我们的研究结果证实了睡眠时间与身体质量指数之间大致呈u型关系,且随年龄而变化。在18-30岁和61-75岁的双峰年龄范围内,BMI下降幅度最大,每多睡一个小时,BMI下降0.248和0.385。我们的二次分析表明,白天嗜睡和打鼾与BMI有显著关联。随着年龄的增长,打鼾症状与BMI的相关性逐渐减弱;对于18-30岁的人来说,每周至少打鼾一次与体重指数增加3.571相关,而对于61-75岁的人来说,这与体重指数增加1.619相关。我们的研究补充了关于睡眠和体重指数之间关系的现有文献。使用年龄分层方法进一步阐明相关性。主观睡眠症状被用于二次分析,以确定睡眠对BMI不利影响的临床筛选问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Associations between Body Mass Index, Sleep Duration, and Reported Snoring and Sleepiness Symptoms, By Age Stratification
To further clarify the associations between sleep and body mass index (BMI) using the most recent dataset from the National Health and Nutrition Examination Survey (NHANES). Our study is notable for the inclusion of analyses with age subpopulations and subjective sleep symptoms. Cross-sectional study was performed using the NHANES 2017-18 dataset. Weighted multivariate regressions were utilized. NHANES is a standardized survey conducted biennially in the United States, for a sample population which is weighted to represent national demographics. 6161 participants met inclusion criteria. Measurements were collected via NHANES protocol, with objective measurements collected by trained technicians and self-reported measurements collected via questionnaire. Our results corroborate a roughly U-shaped relationship of sleep duration with BMI, varying with age. Greatest magnitudes were observed in a bimodal age ranges of 18-30 and 61-75, with decreases in BMI of 0.248 and 0.385 associated with each marginal hour of sleep. Our secondary analysis with daytime sleepiness and snoring have a significant association with BMI. Snoring symptoms showed a decreasing magnitude of association with BMI as age increases; for ages 18-30, snoring at least once a week correlated with an increase in BMI of 3.571, while for ages 61-75, this correlated with an increase of 1.619. Our study adds to existing literature on the relationship of sleep and BMI. Age stratification methods were used to further clarify associations. Subjective sleep symptoms were used in a secondary analysis to identify clinical screening questions for adverse effects of sleep on BMI.
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