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Abstract：
UNASSIGNED: To investigate the prevalence of subthreshold depression among Chinese college students and to explore the related factors.
UNASSIGNED: 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 subthreshold depression among Chinese college students.
UNASSIGNED: A prevalence of subthreshold depression of about 39.7 % was found among the 8934 respondents. Logistic regression analysis revealed that respondents who are female, have chronic diseases, are in debt, experience significant impacts from epidemic control policies, have lower self-assessed quality of life, experience challenges in family communication, perceive lower social support, have lower self-efficacy, and feel higher perceived pressure are more likely to develop subthreshold depression compared to the control group. (P < 0.05).
UNASSIGNED: The prevalence rate of subthreshold depression among Chinese college students was found to be approximately 40 %. Female college students suffering from chronic diseases, with households in debt, greatly impacted by epidemic control policies, and experiencing high perceived stress, may be at risk for subthreshold depression among Chinese college students. On the other hand, strong family communication, perceived social support, and self-efficacy were identified as potential protective factors. In order to facilitate timely screening, diagnosis, and treatment of subthreshold depression in Chinese college students, it is crucial for the government, local communities, colleges, and families to prioritize the mental health of college students and implement targeted measures accordingly.
UNASSIGNED: 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 subthreshold depression among Chinese college students.
UNASSIGNED: A prevalence of subthreshold depression of about 39.7 % was found among the 8934 respondents. Logistic regression analysis revealed that respondents who are female, have chronic diseases, are in debt, experience significant impacts from epidemic control policies, have lower self-assessed quality of life, experience challenges in family communication, perceive lower social support, have lower self-efficacy, and feel higher perceived pressure are more likely to develop subthreshold depression compared to the control group. (P < 0.05).
UNASSIGNED: The prevalence rate of subthreshold depression among Chinese college students was found to be approximately 40 %. Female college students suffering from chronic diseases, with households in debt, greatly impacted by epidemic control policies, and experiencing high perceived stress, may be at risk for subthreshold depression among Chinese college students. On the other hand, strong family communication, perceived social support, and self-efficacy were identified as potential protective factors. In order to facilitate timely screening, diagnosis, and treatment of subthreshold depression in Chinese college students, it is crucial for the government, local communities, colleges, and families to prioritize the mental health of college students and implement targeted measures accordingly.
摘要：
■调查中国大学生阈值下抑郁的患病率并探讨相关因素。
■研究对象是参加“2022年中国居民心理和行为调查（PBICR-2022）”的中国大学生。关于受访者一般特征的数据，生活质量,感知压力，家庭沟通,感知到的社会支持，自我效能感,并收集了抑郁状态。为了研究每个变量与亚阈值抑郁风险之间的关系，统计分析，进行了卡方检验和秩和检验。此外，采用二元逐步logistic回归方法建立中国大学生阈下抑郁相关因素的回归模型。
■在8934名受访者中发现阈值下抑郁的患病率约为39.7%。Logistic回归分析显示，女性受访者，有慢性疾病,负债，经历疫情控制政策的重大影响，自我评估的生活质量较低，体验家庭沟通中的挑战，感知较低的社会支持，有较低的自我效能感，与对照组相比，感觉到更高的压力更有可能发生阈值下抑郁。(P<0.05)。
■发现中国大学生中阈值下抑郁的患病率约为40％。患有慢性病的女大学生,家庭负债，受疫情控制政策的影响很大，经历高度感知的压力，在中国大学生中可能存在亚阈值抑郁的风险。另一方面,强大的家庭沟通,感知到的社会支持，自我效能感被确定为潜在的保护因素。为了便于及时筛查，诊断,中国大学生阈值下抑郁的治疗，这对政府来说至关重要，当地社区,学院,和家庭优先考虑大学生的心理健康，并相应地实施有针对性的措施。
■研究对象是参加“2022年中国居民心理和行为调查（PBICR-2022）”的中国大学生。关于受访者一般特征的数据，生活质量,感知压力，家庭沟通,感知到的社会支持，自我效能感,并收集了抑郁状态。为了研究每个变量与亚阈值抑郁风险之间的关系，统计分析，进行了卡方检验和秩和检验。此外，采用二元逐步logistic回归方法建立中国大学生阈下抑郁相关因素的回归模型。
■在8934名受访者中发现阈值下抑郁的患病率约为39.7%。Logistic回归分析显示，女性受访者，有慢性疾病,负债，经历疫情控制政策的重大影响，自我评估的生活质量较低，体验家庭沟通中的挑战，感知较低的社会支持，有较低的自我效能感，与对照组相比，感觉到更高的压力更有可能发生阈值下抑郁。(P<0.05)。
■发现中国大学生中阈值下抑郁的患病率约为40％。患有慢性病的女大学生,家庭负债，受疫情控制政策的影响很大，经历高度感知的压力，在中国大学生中可能存在亚阈值抑郁的风险。另一方面,强大的家庭沟通,感知到的社会支持，自我效能感被确定为潜在的保护因素。为了便于及时筛查，诊断,中国大学生阈值下抑郁的治疗，这对政府来说至关重要，当地社区,学院,和家庭优先考虑大学生的心理健康，并相应地实施有针对性的措施。
