Personal values and mental health among Chinese university students: a dual-factor model perspective

Abstract

Personal values may be important for university students’ mental health. However, most studies focus on single indicators such as anxiety, depression, or well-being, with limited attention to overall mental health profiles. How different value dimensions relate to mental health heterogeneity from a dual-factor perspective remains unclear. In this cross-sectional study, latent profile analysis and multinomial logistic regression were used to identify mental health profiles and examine their associations with personal values. A total of 14,929 Chinese university students completed self-report measures of personal values, anxiety, depression, life satisfaction, and psychological resilience. Three mental health profiles were identified: complete mental health, vulnerable, and troubled. The symptomatic but content profile was not found. Multinomial logistic regression showed that self-transcendence was linked to more favorable profiles, whereas self-enhancement was linked to less favorable profiles. Openness to change showed a conditional pattern: it was generally linked to lower likelihood of vulnerable or troubled membership, but among vulnerable and troubled students, higher openness to change was linked to higher likelihood of troubled membership. Conservation showed a weaker role and mainly distinguished the complete mental health and vulnerable profiles. This study provides a person-centered view of mental health heterogeneity among Chinese university students. The findings suggest that personal values are differentially associated with overall mental health profiles and support integrating symptom screening, value guidance, and positive psychological resource development in university mental health education.