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

Published online by Cambridge University Press:  26 February 2026

Yi-Zhou Wang*
Affiliation:
Department of Counselling and Psychology, Hong Kong Shue Yan University, North Point, Hong Kong SAR, China
Khalid Imran Afzal
Affiliation:
Department of Psychiatry and Behavioral Neuroscience, The University of Chicago Medicine, Chicago, Illinois, USA
Cheng-Mei Yuan
Affiliation:
Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Xuhui, Shanghai, China
Jing-Yi Fan
Affiliation:
Department of Paediatrics, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
Jun He
Affiliation:
Department of Counselling and Psychology, Hong Kong Shue Yan University, North Point, Hong Kong SAR, China
Xu-Hong Li
Affiliation:
Department of Social and Behavioural Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China
Bei-Bei Wang
Affiliation:
School of Education, Xin Yang University, Xinyang, Henan, China
Yu-Ya Feng
Affiliation:
Centre of Psychological Health Education, Jiangsu University of Science and Technology, Suzhou, Jiangsu, China
Hong-Yun Shao
Affiliation:
Beijing Institute of Education, Tongzhou, Beijing, China
De-Hui Zhou
Affiliation:
Department of Counselling and Psychology, Hong Kong Shue Yan University, North Point, Hong Kong SAR, China
Xue Weng
Affiliation:
Institute of Advanced Studies in Humanities and Social Sciences, Beijing Normal University, Zhuhai, Guangdong, China
*
Correspondence: Yi-Zhou Wang. Email: ywang@hksyu.edu
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Abstract

Background

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

Aims

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.

Method

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.

Results

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).

Conclusions

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.

Information

Type
Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of Royal College of Psychiatrists
Figure 0

Table 1 Sociodemographic characteristics and social anxiety of youths (N = 555)

Figure 1

Table 2 Rate and severity of social anxiety in youths (N = 555)

Figure 2

Table 3 Hierarchical regression model for all youth samples (N = 555)

Figure 3

Table 4 Hierarchical regression predicting stigma score from social anxiety subscales (N = 255)

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