Prevalence, comorbidity and predictors of social anxiety severity among Chinese youth in the post-COVID-19 era.

Social anxiety is a common and impairing condition that often emerges in adolescence.

This study aimed to examine the prevalence and severity of social anxiety among Chinese youths in the post-COVID-19 era, and to develop a predictive model identifying key factors associated with social anxiety severity.

A total of 555 youths aged 15-25 years completed an online survey via WeChat on social anxiety (Social Phobia Inventory), depressive symptoms (Patient Health Questionnaire), sleep problems (Pittsburgh Sleep Quality Index), social support (Multidimensional Scale of Perceived Social Support) and internalised stigma (Internalized Stigma of Mental Illness Scale). Social anxiety severity and rates were described, and comparisons were made across sociodemographic groups. Hierarchical multiple regression was used to predict social anxiety severity from depression, sleep, social support and stigma. An additional regression examined which components of social anxiety (fear, avoidance, physical symptoms) predict internalised stigma.

In total, 69.55% of participants reported at least mild social anxiety, with 20% reaching severe or very severe levels. Female, younger participants and those with fewer close friends reported significantly higher anxiety. Depressive symptoms (β = 0.31, P < 0.05) and internalised stigma (β = 0.40, P < 0.05) were strong predictors of anxiety severity, while sleep problems and social support were not significant after controlling for these factors. Among social anxiety dimensions, only avoidance significantly predicted higher stigma (β = 0.17, P < 0.01).

The high post-pandemic prevalence of social anxiety among youths highlights the need for early identification, stigma reduction and interventions targeting depression and avoidance to prevent long-term impairments.
Mental Health
Care/Management

Authors

Wang Wang, Afzal Afzal, Yuan Yuan, Fan Fan, He He, Li Li, Wang Wang, Feng Feng, Shao Shao, Zhou Zhou, Weng Weng
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