Risk and Protective Factors of Depression in Family and School Domains for Chinese Early Adolescents: An Association Rule Mining Approach
文献类型:期刊论文
作者 | Wang, Chen6; Zhou, Ting5; Fu, Lin4; Xie, Dong3; Qi, Huiying6; Huang, Zheng1,2 |
刊名 | BEHAVIORAL SCIENCES |
出版日期 | 2023-11-01 |
卷号 | 13期号:11页码:18 |
通讯作者邮箱 | qhy@bjmu.edu.cn (h.q.) ; huangz@psych.ac.cn (z.h.) |
关键词 | adolescent depression age group association rule mining gender left-behind status protective factors risk factors |
DOI | 10.3390/bs13110893 |
产权排序 | 6 |
文献子类 | 实证研究 |
英文摘要 | 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. |
收录类别 | SCI |
WOS关键词 | LEFT-BEHIND CHILDREN ; GENDER-DIFFERENCES ; CHILDHOOD ; SYMPTOMS ; STRESS |
资助项目 | Beijing Municipal Education Commission |
WOS研究方向 | Psychology |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:001107908900001 |
资助机构 | Beijing Municipal Education Commission |
源URL | [http://ir.psych.ac.cn/handle/311026/46552] |
专题 | 心理研究所_应用研究版块 |
通讯作者 | Qi, Huiying; Huang, Zheng |
作者单位 | 1.Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Dept Psychol, Beijing 100101, Peoples R China 3.Peking Univ, Sch Basic Med Sci, Beijing 100191, Peoples R China 4.Beijing Univ Technol, Fac Humanities & Social Sci, Beijing, Peoples R China 5.Peking Univ, Sch Hlth Humanities, Dept Med Psychol, Beijing, Peoples R China 6.Peking Univ, Sch Hlth Humanities, Dept Hlth Informat & Management, Beijing 100191, 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. |
入库方式: OAI收割
来源:心理研究所
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