Shu Bo, Dong Zhigao, Su Fang, Wang Zheng
School of Management, Jinan University, Guangzhou, China.
Faculty of Health and Wellness, City University of Macau, Macau, Macao SAR, China.
Front Psychol. 2025 Jul 23;16:1554882. doi: 10.3389/fpsyg.2025.1554882. eCollection 2025.
This study explores the relationship between social media sharing behavior and the mental health and well-being of college students. Based on the Digital Well-being Theory, we applied PLS-SEM and fsQCA to analyze data from 534 students across two time points. Results show that school-related ( = 0.198, < 0.05) and social-related ( = 0.234, < 0.05) social media sharing behaviors positively impact well-being, while work-related sharing ( = 0.247, < 0.05), though also positive, can increase psychological distress. Psychological distress significantly reduces well-being and mediates the relationship between social media sharing and well-being. However, perceived support effectively moderates this effect, reducing the negative impact of psychological distress on well-being. FsQCA analysis identified multiple combinations of factors leading to higher well-being, emphasizing the importance of considering diverse influences (fsQCA coverage = 60.01%). The study provides practical insights for educators, policymakers, and students on using social media to promote mental health and well-being.
本研究探讨了社交媒体分享行为与大学生心理健康及幸福感之间的关系。基于数字幸福感理论，我们应用偏最小二乘结构方程模型（PLS-SEM）和模糊集定性比较分析（fsQCA）对来自534名学生两个时间点的数据进行分析。结果表明，与学校相关的（β = 0.198，p < 0.05）和与社交相关的（β = 0.234，p < 0.05）社交媒体分享行为对幸福感有积极影响，而与工作相关的分享（β = 0.247，p < 0.05）虽然也是积极的，但会增加心理困扰。心理困扰会显著降低幸福感，并在社交媒体分享与幸福感之间起中介作用。然而，感知到的支持有效地调节了这种影响，减少了心理困扰对幸福感的负面影响。模糊集定性比较分析（FsQCA）确定了导致更高幸福感的多种因素组合，强调了考虑多种影响因素的重要性（模糊集定性比较分析覆盖度 = 60.01%）。该研究为教育工作者、政策制定者和学生提供了关于利用社交媒体促进心理健康和幸福感的实用见解。
