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大学生睡眠质量与超重肥胖的相关性分析 被引量:3

Analysis of the Correlation between Sleep Quality and Overweight-obesity of College Students
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摘要 针对大学生睡眠质量差和超重肥胖率居高不下的问题,通过分层抽样和整群抽样,在某高校大一至大四四个年级中分别抽取4个班级,基于匹兹堡睡眠质量问卷和基本情况问卷收集4个班级全部学生的睡眠信息和个人基本信息,通过等级相关和logistics回归研究分析大学生睡眠质量与超重肥胖的关系。研究结果显示,大学生匹兹堡睡眠指数得分在1~16分之间,超重肥胖率达20.7%,男性的睡眠质量较女性差(P=0.047);较高的睡眠质量(OR=4.217,P<0.05)、入睡时间(OR=2.390,P<0.05)、睡眠时间(OR=3.128,P<0.05)、睡眠效率(OR=4.493,P<0.05)、睡眠障碍(OR=2.956,P<0.05)和日间功能障碍(OR=2.920,P<0.05)是大学生超重肥胖的危险性因素。因此,通过增加大学生睡眠时间、提高睡眠效率、改善睡眠障碍和日间功能障碍等途径对控制大学生超重肥胖有积极作用。 Stratified sampling and cluster sampling were adopted to solve the problem of poor sleep quality and high rates of overweight and obesity among college students.The sleep information and basic personal information of four classes in four grades from freshman to senior in a university were selected basing on the Pittsburgh Sleep Quality Questionnaire and the basic situation questionnaire.The relationship between sleep quality and overweight and obesity of college students was analyzed through grade correlation and logistics regression.The results show that the Pittsburgh sleep index score of college students ranges from 1 to 16,the overweight and obesity rate is 20.7%,and the sleep quality of males is worse than that of females(P=0.047).Higher sleep quality(OR=4.217,P<0.05),time to fall asleep(OR=2.390,P<0.05),and sleep time(OR=3.128,P<0.05),sleep efficiency(OR=4.493,P<0.05),sleep disturbance(OR=2.956,P<0.05)and daytime dysfunction(OR=2.920,P<0.05)are the risk factors for overweight and obesity in college students.Therefore,it plays a positive role in controlling college students'overweight and obesity by increasing college students'sleep time,improving sleep efficiency,improving sleep disorders and daytime dysfunction.
作者 王靓 汪求真 WANG Liang;WANG Qiu-zhen(School of Public Health, Qingdao University, Qingdao 266021, China)
出处 《青岛大学学报(自然科学版)》 CAS 2022年第2期23-28,共6页 Journal of Qingdao University(Natural Science Edition)
关键词 大学生 睡眠质量 匹兹堡睡眠指数 超重肥胖 college students sleep quality Pittsburgh sleep quality index overweight-obesity
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