التفاصيل البيبلوغرافية
| العنوان: |
The Relationship Between Mental Health Literacy and Social Well-Being: A Longitudinal Study in China |
| المؤلفون: |
Jiali Pan, Tianyu Xu, Dan Li |
| المصدر: |
Behavioral Sciences, Vol 15, Iss 1, p 29 (2024) |
| بيانات النشر: |
MDPI AG, 2024. |
| سنة النشر: |
2024 |
| المجموعة: |
LCC:Psychology |
| مصطلحات موضوعية: |
mental health literacy, social well-being, late adolescent, cross-lagged model, latent change score model, Psychology, BF1-990 |
| الوصف: |
In this study, 793 college students were examined through the utilization of the socioeconomic status scale, mental health literacy scale, and social well-being questionnaire at T1 and T2, respectively, with the aim of exploring the relationship between mental health literacy and social well-being and the relative static and dynamic development of the two. The results indicated that mental health literacy was significantly and positively correlated with social well-being to a moderate extent (T1: r = 0.31; T2: r = 0.35). Furthermore, the across-lagged model was employed to determine the relationship between mental health literacy and social well-being over time, revealing that mental health literacy and social well-being merely have a unidirectional predictive relationship; social well-being at T1 can significantly and positively predict mental health literacy at T2, but mental health literacy at T1 cannot predict social well-being at T2. We carried out the latent change score model and discovered that a higher level of T1 social well-being can facilitate the enhancement of mental health literacy subsequently. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2076-328X |
| Relation: |
https://www.mdpi.com/2076-328X/15/1/29; https://doaj.org/toc/2076-328X |
| DOI: |
10.3390/bs15010029 |
| URL الوصول: |
https://doaj.org/article/ea4c9c121df74354b103c75df9000449 |
| رقم الانضمام: |
edsdoj.4c9c121df74354b103c75df9000449 |
| قاعدة البيانات: |
Directory of Open Access Journals |
Full Text Finder