中国成年人夜晚睡眠时间变化轨迹及其影响因素  

Trajectories and influencing factors of sleep duration among adults in China

作　　者：袁亚运 YUAN Ya-yun(School of Education,Linyi University,Linyi,Shandong 276005,China)

机构地区：[1]临沂大学教育学院,山东临沂276005

出　　处：《现代预防医学》2024年第22期4199-4205,4211,共8页Modern Preventive Medicine

基　　金：临沂大学科研启动基金(No.Z7022002);山东省社会科学规划研究项目(No.18CGLJ37)。

摘　　要：目的识别中国成年人夜晚睡眠时长变化轨迹,并探索相关影响因素。方法基于中国家庭追踪调查(China Family Panel Studies,简称CFPS)2010—2020年5次调查数据,使用自报方式测量夜晚睡眠时间,采用潜类别增长模型(LCGM)和多项式logistic回归模型,科学研究中国成年人夜晚睡眠时长变化轨迹及其影响因素。结果最终纳入10113名成年人。中国成年人夜晚睡眠时间变化轨迹可划分为严重不足组(3.12%)、不足组(27.63%)、适中组(63.41%)和过多组(5.84%)。多项式logistic回归结果显示,以适中组为参照组,高龄(OR=7.29,95%CI:2.23~23.83)、居于城镇(OR=2.45,95%CI:1.89~3.17)、抑郁症状较高(OR=1.12,95%CI:1.09~1.15)、饮酒(OR=1.60,95%CI:1.10~2.32)人群更容易归为夜晚睡眠时间严重不足组,男性(OR=0.49,95%CI:0.35~0.67)、生活于西部地区(OR=0.42,95%CI:0.29~0.61)人群更不可能是严重不足组;高龄(OR=2.38,95%CI:2.01~2.83)、初中(OR=1.16,95%CI:1.03~1.30)、高中(OR=1.20,95%CI:1.04~1.40)和大学及以上文化水平(OR=1.23,95%CI:1.01~1.50)、居于城镇(OR=1.34,95%CI:1.21~1.48)、抑郁症状越多(OR=1.03,95%CI:1.02~1.04)、饮酒(OR=1.20,95%CI:1.05~1.37)、使用网络(OR=1.20,95%CI:1.07~1.34)人群更容易归为夜晚睡眠时长不足组,经济状况较高(OR=0.84,95%CI:0.70~1.00)、生活于西部地区(OR=0.51,95%CI:0.45~0.58)、健康自评为一般(OR=0.86,95%CI:0.75~0.98)和好(OR=0.83,95%CI:0.71~0.97)、生活满意度自评一般(OR=0.74,95%CI:0.57~0.94)和满意(OR=0.76,95%CI:0.60~0.97)的人群更不可能是不足组;居于西部地区(OR=1.81,95%CI:1.44~2.27)人群更容易归为夜晚睡眠时长过多组,30~44岁(OR=0.64,95%CI:0.48~0.84)、45~59岁(OR=0.74,95%CI:0.55~0.99)、初中(OR=0.75,95%CI:0.61~0.94)和大学及以上(OR=0.25,95%CI:0.14~0.46)、居于城镇人群(OR=0.73,95%CI:0.60~0.88)更不可能是过多组。结论中国成年人夜晚睡眠时间变化轨迹呈4种异质性轨迹,社会人口因素、社会经济地位因素、身心健康Objective To identify the trajectories of sleep duration among adults in China,and explore the associatedinfluencingfactors.Methods Data was derived from 2010-2020 China Family Panel Studies(CFPS).Self-reported measures of night sleep duration were used.People aged≥18 years were included.LCGM and polynomial Logistic regression model were used.Results A total of 10113 adults were included.Four similar trajectory groups of sleep duration were identified among Chinese adults:severely insufficient sleepduration group(3.12%),insufficient sleepduration group(27.63%),moderate sleepduration group(63.41%)and excessive sleepduration group(5.84%).Polynomial logistic regression showed that,using moderate sleep duration group as the reference,individuals who were older(OR=7.29,95%CI:2.23-23.83),lived in urban areas(OR=2.45,95%CI:1.89-3.17),had higher levels of depressive symptoms(OR=1.12,95%CI:1.09-1.15),and people who drank alcohol(OR=1.60,95%CI:1.10-2.32)were more likely to be classified into severely insufficient sleep duration group.Males(OR=0.49,95%CI:0.35-0.67),living in western regions(OR=0.42,95%CI:0.29-0.61)were less likely to be classified into severely insufficient sleep duration group.Older adults(OR=2.38,95%CI:2.01-2.83),those with middle school education(OR=1.16,95%CI:1.03-1.30),high school education(OR=1.20,95%CI:1.04-1.40),college education and above(OR=1.23,95%CI:1.01-1.50),living in urban areas(OR=1.34,95%CI:1.21-1.48),having more depressive symptoms(OR=1.03,95%CI:1.02-1.04),adults drinking alcohol(OR=1.20,95%CI:1.05-1.37),and using Internet(OR=1.20,95%CI:1.07-1.34)were more likely to be classified into insufficient sleep duration group.Those with higher economic status(OR=0.84,95%CI:0.70-1.00),living in western regions(OR=0.51,95%CI:0.45-0.58),self-reported fair health(OR=0.86,95%CI:0.75-0.98)and good health(OR=0.83,95%CI:0.71-0.97),rated life satisfaction as fair(OR=0.74,95%CI:0.57-0.94)and satisfied(OR=0.76,95%CI:0.60-0.97)were less likely to be in insufficient sleep duration group.Living in the western

关 键 词：夜晚睡眠时间 变化轨迹 影响因素 成年人 潜变量增长曲线模型 

分 类 号：R163[医药卫生—公共卫生与预防医学]