Analysis of the current situation and influencing factors of social anxiety of secondary vocational school students in Liangshan Prefecture in 2023
Objective To understand the current situation of social anxiety among secondary vocational school students in Liangshan Prefecture,to explore the influencing factors of social anxiety,and to provide theoretical basis for the promotion of psychological health of secondary vocational school students in Liangshan Prefecture.Methods Multi-stage stratified random cluster sampling was adopted to conduct a questionnaire survey among secondary vocational school students in Liangshan Prefecture in 2023.The current status of social anxiety in this population was analyzed by univariate and multivariate analyses.T-test,ANOVA,Pearson's correlation analysis and stratified linear regression analysis were used.P＜0.05 was considered to be statistically significant.Results A total of 5 500 secondary vocational school students in Liangshan Prefecture were investigated,and the total score of social anxiety was(33.95±10.62).The results of stratified linear regression analysis showed that loneliness was the main influencing factor of social anxiety,and had a significant positive suggestive effect on social anxiety(β=0.503,P＜0.001,ΔR2=19.3％).The loneliness score was(46.17±8.22).Targeting emotional coping and social support had positive effects on social anxiety,while targeting problem coping had negative effects on social anxiety.Conclusions The level of social anxiety was at a medium level in secondary vocational school students in Liangshan Prefecture,and loneliness and coping styles were the main influencing factors of social anxiety.The level of loneliness was high.In the future social anxiety interventions for this population,we should focus on the level of loneliness,strengthen the training of developing social coping styles,and take targeted measures to prevent the occurrence of social anxiety,so as to improve the level of mental health.
secondary vocational school studentssocial anxietylonelinessinfluencing factors
万方数据
维普
