Vargas Perla A, Flores Melissa, Robles Elias
a Southwest Interdisciplinary Research Center , Arizona State University , Glendale , Arizona.
J Am Coll Health. 2014;62(8):534-41. doi: 10.1080/07448481.2014.933344.
Obesity and its comorbidities have emerged as a leading public health concern. The aim of this study was to explore the relationship between body mass index (BMI) and sleep patterns, including duration and disturbances.
A convenience sample of 515 college students completed an online survey consisting of the Pittsburgh Sleep Quality Index (PSQI), and self-reported height and weight to calculate BMI. Univariate and multivariate logistic regression analyses were performed using components of the PSQI as predictors of overweight (BMI ≥ 25).
One-third of the participants had BMI ≥ 25, and 51% were poor-quality sleepers (PSQI > 5). Controlling for age and sex, only sleep disturbances were associated with overweight (odds ratio = 1.66, 95% confidence interval [1.08, 2.57]).
Sleep disturbances, rather than sleep duration, predicted overweight among young adults; this is consistent with the most recent evidence in the literature. These findings support expanding the scope of wellness programs to promote healthy sleep among students.
肥胖及其合并症已成为主要的公共卫生问题。本研究旨在探讨体重指数（BMI）与睡眠模式之间的关系，包括睡眠时间和睡眠障碍。
选取515名大学生作为便利样本，完成一项在线调查，内容包括匹兹堡睡眠质量指数（PSQI），并自行报告身高和体重以计算BMI。以PSQI的各项指标作为超重（BMI≥25）的预测因素，进行单因素和多因素逻辑回归分析。
三分之一的参与者BMI≥25，51%的参与者睡眠质量较差（PSQI>5）。在控制年龄和性别后，只有睡眠障碍与超重相关（比值比=1.66，95%置信区间[1.08，2.57]）。
睡眠障碍而非睡眠时间是年轻成年人超重的预测因素；这与文献中的最新证据一致。这些发现支持扩大健康计划的范围，以促进学生的健康睡眠。
