Risk and Protective Factors of Depression in Family and School Domains for Chinese Early Adolescents: An Association Rule Mining Approach

doi:10.3390/bs13110893

PSYCH OpenIR

	Risk and Protective Factors of Depression in Family and School Domains for Chinese Early Adolescents: An Association Rule Mining Approach
	Wang, Chen 1; Zhou, Ting 2; Fu, Lin 3; Xie, Dong 4; Qi, Huiying 1; Huang, Zheng 5,6
通讯作者	Qi, Huiying(qhy@bjmu.edu.cn) ; Huang, Zheng(huangz@psych.ac.cn)
摘要	Depression is one of the most common psychological problems in adolescence. Familial and school-related factors are closely related to adolescents' depression, but their combined effects need further examination. The purpose of this study was to explore the combined effects of risk/protective factors of depression in family and school domains using a sample of Chinese adolescents differing in gender, age group and left-behind status. A total of 2455 Chinese students in primary and secondary school participated in the cross-sectional survey and reported multiple risk/protective factors in family and school environments and depressive symptoms. Association rule mining, a machine learning method, was used in the data analyses to identify the correlation between risk/protective factor combinations and depression. We found that (1) Family cohesion, family conflict, peer support, and teacher support emerged as the strongest factors associated with adolescent depression; (2) The combination of these aforementioned factors further strengthened their association with depression; (3) Female gender, middle school students, and family socioeconomic disadvantages attenuated the protective effects of positive relational factors while exacerbating the deleterious effects of negative relational factors; (4) For individuals at risk, lack of mental health education resources at school intensified the negative impact; (5) The risk and protective factors of depression varied according to gender, age stage and left-behind status. In conclusion, the findings shed light on the identification of high-risk adolescents for depression and underscore the importance of tailored programs targeting specific subgroups based on gender, age, or left-behind status.
关键词	adolescent depression age group association rule mining gender left-behind status protective factors risk factors
	2023-11-01
语种	英语
DOI	10.3390/bs13110893
发表期刊	BEHAVIORAL SCIENCES
卷号	13 期号:11 页码:18
收录类别	SCI
资助项目	Beijing Municipal Education Commission
出版者	MDPI
WOS关键词	LEFT-BEHIND CHILDREN ; GENDER-DIFFERENCES ; CHILDHOOD ; SYMPTOMS ; STRESS
WOS研究方向	Psychology
WOS类目	Psychology, Multidisciplinary
WOS记录号	WOS:001107908900001
资助机构	Beijing Municipal Education Commission
引用统计
文献类型	期刊论文
条目标识符	http://ir.psych.ac.cn/handle/311026/46551
通讯作者	Qi, Huiying; Huang, Zheng
作者单位	1.Peking Univ, Sch Hlth Humanities, Dept Hlth Informat & Management, Beijing 100191, Peoples R China 2.Peking Univ, Sch Hlth Humanities, Dept Med Psychol, Beijing, Peoples R China 3.Beijing Univ Technol, Fac Humanities & Social Sci, Beijing, Peoples R China 4.Peking Univ, Sch Basic Med Sci, Beijing 100191, Peoples R China 5.Univ Chinese Acad Sci, Dept Psychol, Beijing 100101, Peoples R China 6.Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Wang, Chen,Zhou, Ting,Fu, Lin,et al. Risk and Protective Factors of Depression in Family and School Domains for Chinese Early Adolescents: An Association Rule Mining Approach[J]. BEHAVIORAL SCIENCES,2023,13(11):18.
APA	Wang, Chen,Zhou, Ting,Fu, Lin,Xie, Dong,Qi, Huiying,&Huang, Zheng.(2023).Risk and Protective Factors of Depression in Family and School Domains for Chinese Early Adolescents: An Association Rule Mining Approach.BEHAVIORAL SCIENCES,13(11),18.
MLA	Wang, Chen,et al."Risk and Protective Factors of Depression in Family and School Domains for Chinese Early Adolescents: An Association Rule Mining Approach".BEHAVIORAL SCIENCES 13.11(2023):18.