Department of Psychology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Mental Health Education and Counseling Center, Guangzhou Academy of Fine Arts, Guangzhou 510260, China.
Int J Environ Res Public Health. 2023 Mar 12;20(6):5024. doi: 10.3390/ijerph20065024.
This study examines the trajectories of the mental health conditions of 13,494 new undergraduate students who enrolled in 2019 in China from the beginning of the pandemic to the local recurrence of the pandemic, and found factors which may be associated with diverse trajectories.
The trajectories of depression-anxiety outcomes were modeled using the growth mixture model. The multinomial logistic regression model was used to identify variables associated with different trajectory groups.
Both depression and anxiety in the new college students slightly increased during the 16-month period. The slopes of depression and anxiety were lower after the local outbreak. From the trajectories of depression and anxiety, five heterogeneous groups were identified: low-stable (64.3%), moderate-increased (18.2%), high-stable (11.1%), recovery (4.5%), and rapid-increased (1.8%). Environmental, somatic, and social factors were used to differentiate the low-stable group from the other groups. We found that college students with female gender, more conflict with parents, and feelings of loneliness during the pandemic were more likely to enter a high stability trajectory compared to a recovery trajectory.
Most participants showed a stable mental health status, while others experienced deteriorating or chronic mental health problems, especially those who had sleep disturbances, less social support before the pandemic, or conflicts with parents during the pandemic. These students may need additional support and monitoring from college mental health providers to improve their wellbeing.
本研究调查了 2019 年在中国开始大流行到当地再次爆发期间,13494 名新本科入学新生的心理健康状况轨迹,并发现了可能与不同轨迹相关的因素。
使用增长混合模型对抑郁-焦虑结果的轨迹进行建模。使用多项逻辑回归模型确定与不同轨迹组相关的变量。
新大学生的抑郁和焦虑在 16 个月期间略有增加。地方疫情爆发后,抑郁和焦虑的斜率降低。从抑郁和焦虑的轨迹中,确定了五个不同的群体:低稳定组(64.3%)、中度增加组(18.2%)、高稳定组(11.1%)、恢复组(4.5%)和快速增加组(1.8%)。环境、躯体和社会因素用于区分低稳定组和其他组。我们发现,与父母的冲突较多、女性性别和在疫情期间感到孤独的大学生,与恢复轨迹相比,更有可能进入高稳定轨迹。
大多数参与者表现出稳定的心理健康状态,而其他人则经历恶化或慢性心理健康问题,特别是那些在疫情前有睡眠障碍、较少社会支持或与父母有冲突的学生。这些学生可能需要额外的支持和监测,由高校心理健康服务提供者提供,以改善他们的幸福感。