Literature DB >> 24218885

[Depressive symptoms and its related factors among primary and middle school students in an urban-rural-integrated area of Chongqing].

Chen Li1, Hong Wang, Xingyuan Cao, Min Gou, Zhuan Zhang.   

Abstract

OBJECTIVE: To investigate the prevalence of depressive symptom and its influencing factors among primary and middle school students in urban-rural-integrated area of Chongqing.
METHODS: A total of 3 013 primary and middle school students from an urban-rural-integrated area of Chongqing were selected by using multistage stratified cluster sampling method in this study. The general information, physical activities and physical examination conditions were investigated. Meanwhile, the depress symptoms were assessed by using children's depression inventory (CDI) and the incidence of adolescence related events were evaluated by using pubertal development scale (PDS). Chi-square test was used to analyze the detection rate of depression symptoms among different population and Logistic regression was used to analyse the influencing factors of depressive symptoms among primary and middle school students.
RESULTS: The detection rate of depressive symptoms was 20.1% (607/3013) totally, and it was gradually higher among the students with bad to good economic status (28.3%/18.4%/18.3%, chi2 = 28.415, P < 0.05). The students' detection rate of depression symptoms in different development level compared to companion by self image were 43.1%, 26.5%, 22.0% and 15.8% (chi2 = 79.621, P < 0.01). Among the senior school students, worse economic status, higher development level in self-evaluation, and no physical activities in a recent month (including physical training, aerobic exercise) were considered as the influencing factors of depressive symptoms.
CONCLUSION: Focusing on the physical and mental health of growing children, establishing a good school environment and family environment, and strengthening physical activities will contribute to reducing the incidence of depressive symptoms.

Entities:  

Mesh:

Year:  2013        PMID: 24218885

Source DB:  PubMed          Journal:  Wei Sheng Yan Jiu        ISSN: 1000-8020


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