Prevalence of Lying Flat behaviors and its association with depressive symptoms among college students from three prov-inces and cities in China
Objective To understand the prevalence of Lying Flat behaviors and its association with depressive symptoms among Chinese college students,so as to provide a scientific basis for promoting the physical and mental health development of adolescents.Methods From July to October 2023,three universities were selected through convenient sampling from Jiangxi Province,Liaon-ing Province and Beijing City,respectively.Self-designed questionnaire links were distributed on campus to collect basic information and Lying Flat behaviors among college students,and the Patient Health Questionnaire-9(PHQ-9)was utilized to screen for students with depressive symptoms.Finally,a total of 4 225 valid questionnaires were obtained.Chi-square was used to compare of report rates of Lying Flat behaviors across different demographic characteristics.Ordered Logistic regression analysis was used to ex-plore the association between Lying Flat behaviors and depressive symptoms,with Z test used to assess variations in the strength of associations.Results The reporting rates of academic,life,and social Lying Flat were 32.7％,17.8％and 17.5％,respectively.And 6.7％of the participants were found of all three Lying Flat behaviors simultaneously.Among college students with three Lying Flat behaviors,the constituent ratios of no,mild,moderate and above depressive symptoms were 9.9％,30.5％and 59.6％,re-spectively.Additionally,college students who had three Lying Flat behaviors were more likely to show mild,moderate and above depressive symptoms[OR(95％CI)=2.49(1.60-3.87),7.69(5.01-11.79),P＜0.01].Conclusions Academic Lying Flat behav-ior is most prevalent among college students.Academic,life and social Lying Flat behaviors are all significantly positively correlated with depressive symptoms.Attention should be paid to the Lying Flat behaviors and college students'psychological health conditions to promote their physical and mental health development.
NETL
NSTL
万方数据
