Jiang Yumei, Ding Chen, Shen Bo
School of Physical Education and Sports, Central China Normal University, Wuhan 430079, China.
School of Physical Education, Huazhong University of Science and Technology, Wuhan 430074, China.
Healthcare (Basel). 2023 Oct 12;11(20):2719. doi: 10.3390/healthcare11202719.
The dual-factor model of mental health has garnered substantial support, positing the necessity of encompassing both negative (e.g., psychological problems) and positive (e.g., well-being) indicators in comprehensive evaluations of people's mental health. Nonetheless, the nature of the profiles and predictors (such as academic emotions) during four years of university life lack clarity, hampering a profound understanding of mental well-being among university students. This research included 135 items designed to assess an array of depression symptoms, negative emotional experiences, life satisfaction, positive emotional experiences, and academic emotions. First, this research affirmed the applicability of the dual-factor model in the context of Chinese university students (N = 2277) with the utilization of confirmatory factor analysis (CFA). Furthermore, latent profile analysis (LPA) was employed to delineate prevalent constellations of psychological symptoms and subjective well-being within participants. The outcomes unveiled the existence of three distinct clusters: (1) Complete Mental Health, (2) Vulnerable, and (3) Troubled. Third, by employing R3stept on academic emotions and mental health classifications, this study revealed that there were associations between this variable and specific amalgams of psychological symptoms and well-being levels. These findings bear influence on the practice of mental health screening and the identification of individuals necessitating targeted interventions.
心理健康的双因素模型已获得大量支持，该模型认为在对人们心理健康的综合评估中，纳入消极（如心理问题）和积极（如幸福感）指标均有必要。尽管如此，大学四年间的心理状况及预测因素（如学业情绪）的本质仍不明确，这妨碍了对大学生心理健康的深入理解。本研究包含135个项目，旨在评估一系列抑郁症状、消极情绪体验、生活满意度、积极情绪体验和学业情绪。首先，本研究通过验证性因素分析（CFA）证实了双因素模型在中国大学生（N = 2277）群体中的适用性。此外，潜在剖面分析（LPA）被用于描绘参与者中心理症状和主观幸福感的普遍模式。结果揭示了三个不同的类别：（1）完全心理健康，（2）易受伤害型，（3）困扰型。第三，通过对学业情绪和心理健康分类进行R3stept分析，本研究发现该变量与特定的心理症状组合及幸福感水平之间存在关联。这些发现对心理健康筛查实践以及确定需要针对性干预的个体具有影响。
