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Prevalence of social anxiety disorder and symptoms among Chinese children, adolescents and young adults: A systematic review and meta-analysis

Journal

FRONTIERS IN PSYCHOLOGY
Volume 13, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fpsyg.2022.792356

Keywords

children; adolescents; young adults; China; prevalence; social anxiety

Funding

  1. Renmin University of China New Faculty Start-Up Grant [22XNKJ27]
  2. Guangdong Planning Office of Philosophy and Social Science [GD20YSH06]
  3. Shenzhen University Natural Science Research Grant [860-000002110172]

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The objective of this study is to provide a reliable estimate of the pooled prevalence of social anxiety disorder (SAD) and social anxiety symptoms (SAS) among children, adolescents, and young adults (CAYA) in China. The results revealed a pooled prevalence of SAD of 2.1% and a pooled prevalence estimate of SAS of 23.5%. Different diagnostic tools or self-report scales reported significant different prevalence of SAD or SAS.
The objective of the study is to provide a reliable estimate of the pooled prevalence of social anxiety disorder (SAD) and social anxiety symptoms (SAS) among children, adolescents, and young adults (CAYA) in China. Meta-analysis is used to provide pooled-prevalence rate of SAD and SAS. Literature searches were conducted in both English and Chinese databases from the database's inception to April 2019. Eleven studies were identified for SAD, and 17 were included for SAS. The results revealed a pooled prevalence of SAD of 2.1% (95% CI: 1.2-3.8%) with high between-studies heterogeneity (Q = 1,055.2, I-2 = 99.1%, p < 0.001). The pooled prevalence estimate of SAS was 23.5% (95% CI: 18.6-29.3%), also with significant heterogeneity (Q = 1,019.3, I-2 = 98.4%, p < 0.001). Different diagnostic tools or self-report scales reported significant different prevalence of SAD or SAS. Further analysis stratified by gender, age, sampling methods, economic status, and risk of bias were performed. Limitations include the high level of heterogeneity between studies, inadequate number of the studies, and significant differences in prevalence caused by measurements.

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