The Relationship Between Anxiety, Depression, and Well-Being Literacy in College Students: Based on a Dual-Factor Model of Mental Health
- DOI
- 10.2991/978-2-38476-271-2_10How to use a DOI?
- Keywords
- College students; Mental health; Dual-factor model; Anxiety; Depression; Wellbeing literacy
- Abstract
OBJECTIVE: To explore the relationship between depression, anxiety and happiness literacy among college students based on the dual-factor model of mental health. METHODS: 1030 college students were surveyed on negative psychological indicators of anxiety and depression and positive psychological indicators of happiness literacy, and Amos software was used to compare the two mental health models. RESULTS: The dual-factor model of college students’ mental health had the best fitting index (χ2/df = 2.864, GFI=0.946, AGFI=0.913, CFI=0.921, TLI=0.896, RMSEA=0.043), and was able to provide the best explanation of the internal structure of mental health. CONCLUSION: A dual-factor model of mental health for depression, anxiety and well-being literacy among college students is more desirable.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jia Guo AU - Ying Xie AU - Feifei Wang PY - 2024 DA - 2024/07/29 TI - The Relationship Between Anxiety, Depression, and Well-Being Literacy in College Students: Based on a Dual-Factor Model of Mental Health BT - Proceedings of the 2024 5th International Conference on Mental Health, Education and Human Development (MHEHD 2024) PB - Atlantis Press SP - 65 EP - 70 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-271-2_10 DO - 10.2991/978-2-38476-271-2_10 ID - Guo2024 ER -