Early intervention in psychiatry · 2015
Factors related to self-reported social anxiety symptoms among incoming university students.
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Cheng Shu Hui, Sun Zih-Jie, Lee I Hui, Lee Chih-Ting, Chen Kao Chin, Tsai Chung Hung, Yang Yen Kuang, Yang Yi Ching
Аннотация
AIM: The aim of this study was to explore the lifestyle/social, personality trait and mental factors among incoming university students with higher self-reported social anxiety symptoms (SAS).
METHODS: A total of 5126 incoming university students were recruited. The test battery included a self-administered questionnaire that examined personal lifestyle, the Measurement of Support Functions, the Chinese Internet Addiction Scale-Revision, the Organizational Citizenship Behaviour Scale, the Social Phobia Inventory, the suicide ideation from the Brief Symptoms Rating Scale and the Pittsburgh Sleep Questionnaire.
RESULTS: SAS (23.7%) were prevalent. Using logistic regression analysis, we found that the significant predictors of higher levels of SAS were being an undergraduate student and a non-smoker, having lower Measurement of Support Functions score (poorer social support), having higher Chinese Internet Addiction Scale-Revision score (Internet addiction), having lower Organizational Citizenship Behaviour Scale score (less altruistic behaviour), having suicide ideation and having higher Pittsburgh Sleep Questionnaire score (poorer sleeper).
CONCLUSIONS: Given the high prevalence of SAS among university students, it is necessary to build a better strategy to detect students with potential social anxiety-related problems/disorders or other mental problems early on.
METHODS: A total of 5126 incoming university students were recruited. The test battery included a self-administered questionnaire that examined personal lifestyle, the Measurement of Support Functions, the Chinese Internet Addiction Scale-Revision, the Organizational Citizenship Behaviour Scale, the Social Phobia Inventory, the suicide ideation from the Brief Symptoms Rating Scale and the Pittsburgh Sleep Questionnaire.
RESULTS: SAS (23.7%) were prevalent. Using logistic regression analysis, we found that the significant predictors of higher levels of SAS were being an undergraduate student and a non-smoker, having lower Measurement of Support Functions score (poorer social support), having higher Chinese Internet Addiction Scale-Revision score (Internet addiction), having lower Organizational Citizenship Behaviour Scale score (less altruistic behaviour), having suicide ideation and having higher Pittsburgh Sleep Questionnaire score (poorer sleeper).
CONCLUSIONS: Given the high prevalence of SAS among university students, it is necessary to build a better strategy to detect students with potential social anxiety-related problems/disorders or other mental problems early on.