大学生手机依赖与睡眠质量轨迹的纵向关联  

Longitudinal correlation between cell phone use and sleep quality in college students

作　　者：张丹 赵雅烨 牛茹 陶舒曼 杨娅娟 邹立巍[3] 谢阳[1] 李婷婷 曲杨 翟爽 陶芳标 伍晓艳[1,2] Zhang Dan;Zhao Yaye;Niu Ru;Tao Shuman;Yang Yajuan;Zou Liwei;Xie Yang;Li Tingting;Qu Yang;Zhai Shuang;Tao Fangbiao;Wu Xiaoyan(Department of Maternal,Child and Adolescent Health,School of Public Health,Anhui Medical University,Hefei 230032,China;MOE Key Laboratory of Population Health Across Life Cycle/Anhui Provincial Key Laboratory of Population Health and Aristogenics,Hefei 230032,China;The Second Hospital of Anhui Medical University,Hefei 230032,China;School of Nursing,Anhui Medical University,Hefei 230032,China)

机构地区：[1]安徽医科大学公共卫生学院儿少卫生与妇幼保健学系,合肥230032 [2]出生人口健康教育部重点实验室,人口健康与优生安徽省重点实验室,合肥230032 [3]安徽医科大学第二附属医院,合肥230032 [4]安徽医科大学护理学院,合肥230032

出　　处：《中华预防医学杂志》2022年第12期1828-1833,共6页Chinese Journal of Preventive Medicine

基　　金：国家自然科学基金(81773455,81803257,82173542)。

摘　　要：目的调查大学生手机依赖及睡眠质量现状,建立睡眠质量轨迹模型并探究手机依赖对睡眠质量轨迹的影响。方法基于大学生行为与健康队列研究2019—2020年数据,应用潜类别增长模型建立大学生睡眠质量变化轨迹的模型,采用χ^(2)检验分析大学生睡眠质量变化轨迹的基线影响因素,采用二元logistic回归模型分析大学生手机依赖对睡眠质量轨迹的关联。结果共有1092名大学生纳入分析,其中手机依赖与睡眠质量差的检出率分别为24.5%和13.3%。潜类别增长模型识别出2种睡眠质量趋势:睡眠质量好转组(86.0%),睡眠质量下降组(14.0%)。二元logistic回归模型分析结果显示,手机依赖是睡眠质量变化趋势的危险因素。结论大学阶段手机依赖会增加睡眠质量变差的风险,未来可对大学生手机使用行为采取针对性干预措施进而提高睡眠质量。Objective To investigate the current situation of cell phone use and sleep quality among college students,establish a sleep quality trajectory model and explore the influence of cell phone use on the sleep quality trajectory.Methods Based on data from the College Student Behavior and Health Cohort Study 2019-2020,a latent class growth modeling was used to establish a sleep quality trajectory model among college students.The baseline influencing factors of sleep quality trajectories among college students were analyzed byχ^(2) test,and the effects of cell phone use on sleep quality trajectories were analyzed by binary logistic regression.Results A total of 1092 college students were included in the analysis.The detection rates of cell phone use and poor sleep quality were 24.5%and 13.3%.Latent class growth model identified two groups of sleep quality trend trajactories:an improved sleep quality group(86.0%)and a decreased sleep quality group(14.0%).The result of binary logistic regression showed that the cell phone use was a risk factor of sleep quality trajectories.Conclusion The cell phone use during college period could increase the risk of poor sleep quality.Targeted intervention measures about cell phone use should be adopted to improve the sleep quality among college students.

关 键 词：睡眠质量 手机依赖 大学生 潜类别增长模型 

分 类 号：R740[医药卫生—神经病学与精神病学]