biostudies-literatureUnknown10(12)Ge P<h4>Objective</h4>To investigate the prevalence of subthreshold depression among Chinese college students and to explore the related factors.<h4>Methods</h4>The research subjects were Chinese college students participating in the "2022 Psychology and Behavior Investigation of Chinese Residents (PBICR-2022)". Data on respondents' general characteristics, quality of life, perceived pressure, family communication, perceived social support, self-efficacy, and depression status were gathered. To investigate the association between each variable and the risk of subthreshold depression, statistical analyses, including chi-square tests and rank sum tests were conducted. Furthermore, a binary stepwise logistic regression was employed to establish the regression model of the factors related to subthHeliyone32595https://www.ebi.ac.uk/biostudies/studies/S-EPMC11233893biostudies-literaturePrevalence of subthreshold depression and its related factors in Chinese college students: A cross-sectional study.PMC11233893Cai QPan LTHan XHong WYMo FSun BYGe PQi JLLiu DYZhang JZLi QYWu YBGuo JHBian YChen YLiu JXYu WLYou YLiu KMLi YMTan CYan MYZhao SQHao MYHu CfalsePrevalence of subthreshold depression and its related factors in Chinese college students: A cross-sectional study.<h4>Objective</h4>To investigate the prevalence of subthreshold depression among Chinese college students and to explore the related factors.<h4>Methods</h4>The research subjects were Chinese college students participating in the "2022 Psychology and Behavior Investigation of Chinese Residents (PBICR-2022)". Data on respondents' general characteristics, quality of life, perceived pressure, family communication, perceived social support, self-efficacy, and depression status were gathered. To investigate the association between each variable and the risk of subthreshold depression, statistical analyses, including chi-square tests and rank sum tests were conducted. Furthermore, a binary stepwise logistic regression was employed to establish the regression model of the factors related to subth2024-01-01T00:00:00Z2024 Jun2025-04-05T15:49:30.833Z2025-04-05T15:49:30.833ZS-EPMC112338933898851810.1016/j.heliyon.2024.e32595