{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["10(12)"],"submitter":["Ge P"],"pubmed_abstract":["<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 subth"],"journal":["Heliyon"],"pagination":["e32595"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11233893"],"repository":["biostudies-literature"],"pubmed_title":["Prevalence of subthreshold depression and its related factors in Chinese college students: A cross-sectional study."],"pmcid":["PMC11233893"],"pubmed_authors":["Cai Q","Pan LT","Han X","Hong WY","Mo F","Sun BY","Ge P","Qi JL","Liu DY","Zhang JZ","Li QY","Wu YB","Guo JH","Bian Y","Chen Y","Liu JX","Yu WL","You Y","Liu KM","Li YM","Tan C","Yan MY","Zhao SQ","Hao MY","Hu C"],"additional_accession":[]},"is_claimable":false,"name":"Prevalence of subthreshold depression and its related factors in Chinese college students: A cross-sectional study.","description":"<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 subth","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jun","modification":"2025-04-05T15:49:30.833Z","creation":"2025-04-05T15:49:30.833Z"},"accession":"S-EPMC11233893","cross_references":{"pubmed":["38988518"],"doi":["10.1016/j.heliyon.2024.e32595"]}}