Depression and stress are associated with latent profiles of problematic social media use among college students

被引:0
|
作者
Cui, Jingjing [1 ,2 ]
Wang, Yang [1 ]
Liu, Dongyu [1 ]
Yang, Haibo [1 ,3 ,4 ]
机构
[1] Tianjin Normal Univ, Fac Psychol, Tianjin, Peoples R China
[2] Zunyi Normal Univ, Fac Teacher Educ, Zunyi, Peoples R China
[3] Tianjin Normal Univ, Acad Psychol & Behav, Key Res Base Humanities & Social Sci, Minist Educ, Tianjin, Peoples R China
[4] Tianjin Social Sci Lab Students Mental Dev & Learn, Tianjin, Peoples R China
来源
FRONTIERS IN PSYCHIATRY | 2023年 / 14卷
关键词
problematic social media use; college students; depression; anxiety; stress; latent profile analysis; CELL PHONE USE; INTERNET-USE; SMARTPHONE USE; GAMING DISORDER; SELF-REGULATION; ADDICTIVE USE; ANXIETY; MODEL; PSYCHOPATHOLOGY; SYMPTOMS;
D O I
10.3389/fpsyt.2023.1306152
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
BackgroundThe previous literature has demonstrated that depression, anxiety, and stress are significant predictors of problematic social media use. However, the manifestation of problematic social media use varies, and the predictive relationship between depression, anxiety, and stress with different subgroups of problematic social media use remains unclear. The aim of this research was to evaluate latent subgroups of problematic social media use among college students and to investigate the impact of depression, anxiety, and stress on these latent subgroups.MethodsA survey was carried out among college students in China using a cross-sectional approach. A total of 955 participants were included, with a mean age of 19.50 +/- 1.22 years. Participants completed questionnaires containing the Bergen Social Media Addiction Scale (BSMAS) and the Depression, Anxiety, and Stress Scale-21 (DASS-21). The study employed latent profile analysis (LPA) to investigate latent subgroups of Chinese college students with problematic social media use, and a robust three-step approach was used to develop predictive regression mixed models of depression, anxiety, and stress on latent subgroups.ResultsProblematic social media use of Chinese college students can be categorized into four latent subgroups, namely, the high-risk group, the moderate-risk with pleasure group, the moderate-risk with compulsion group, and the low-risk group. The regression model showed that there was a significant difference between the high-risk group and the low-risk group on the stress scale. There was a significant difference between the moderate-risk with pleasure group and the moderate-risk with compulsion group on the depression scale.ConclusionProblematic social media use is heterogeneous, with depression and stress being potentially key factors influencing problematic social media use. Depression would make college students more likely to be moderate-risk with compulsion problematic social media users than moderate-risk with pleasure problematic social media users, and stress would make college students more likely to be high-risk problematic social media users than low-risk problematic social media users.
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页数:11
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