Levine Shelby L, Tabri Nassim, Milyavskaya Marina
Department of Psychology, McGill University, Montreal, Canada.
Department of Psychology, Carleton University, Ottawa, Canada.
Dev Psychopathol. 2023 Feb;35(1):345-356. doi: 10.1017/S0954579421000626. Epub 2021 Oct 11.
Little is known about how mental health symptoms develop during the transition to university. Most anxiety and depression research fails to consider how symptom development differs over time across different individuals, and how symptom co-occurrence influences the severity of mental health problems. Students ( = 658) completed online surveys on mental health prior to starting university and every 2 months until April. To better understand mental health problems during this transitional period, latent class growth curve analyses were run to determine how anxiety and depressive symptoms co-develop over time, as well, if self-critical perfectionism was a transdiagnostic risk factor for more severe symptom trajectories in this transition. About 40% of students experienced depression and anxiety symptoms prior to entering/during the transition to university. There is substantial variation between students in terms of how they experience depression and anxiety symptoms, and research needs to take this heterogeneity into account to properly identify which students might benefit most from resources. Self-critical perfectionism was a transdiagnostic risk factor, such that students higher in this trait experienced more severe anxiety and depressive symptom trajectories during this transition. This research further implicates the importance of understanding and studying individual differences in symptom development.
对于在向大学过渡期间心理健康症状如何发展,人们知之甚少。大多数焦虑和抑郁研究未能考虑症状发展在不同个体间如何随时间变化,以及症状共现如何影响心理健康问题的严重程度。658名学生在大学入学前以及直至4月每两个月完成一次关于心理健康的在线调查。为了更好地理解这一过渡时期的心理健康问题,我们进行了潜在类别增长曲线分析,以确定焦虑和抑郁症状如何随时间共同发展,以及自我批判完美主义是否是这一过渡中更严重症状轨迹的跨诊断风险因素。约40%的学生在进入大学/向大学过渡期间经历过抑郁和焦虑症状。学生在体验抑郁和焦虑症状的方式上存在很大差异,研究需要考虑到这种异质性,以便正确识别哪些学生可能从资源中受益最多。自我批判完美主义是一个跨诊断风险因素,在这一特质上得分较高的学生在这一过渡期间经历了更严重的焦虑和抑郁症状轨迹。这项研究进一步表明了理解和研究症状发展中个体差异的重要性。