Influencing factors, prediction and prevention of depression in college students: A literature review

被引:62
|
作者
Liu, Xin-Qiao [1 ]
Guo, Yu-Xin [1 ]
Zhang, Wen-Jie [2 ]
Gao, Wen-Juan [3 ]
机构
[1] Tianjin Univ, Sch Educ, 135 Tongyan Rd, Tianjin 300350, Peoples R China
[2] Peking Univ, Grad Sch Educ, Beijing 100871, Peoples R China
[3] Beihang Univ, Inst Higher Educ, Beijing 100191, Peoples R China
来源
WORLD JOURNAL OF PSYCHIATRY | 2022年 / 12卷 / 07期
关键词
Depression; Prediction; Prevention; Artificial intelligence; Big data; Machine learning; COMMON MENTAL-DISORDERS; UNIVERSITY-STUDENTS; SOCIAL SUPPORT; RISK-FACTORS; PSYCHOMETRIC PROPERTIES; INDICATED PREVENTION; MAJOR DEPRESSION; INTERNET USE; HEALTH; ANXIETY;
D O I
10.5498/wjp.v12.i7.860
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
The high prevalence of depression among college students has a strong negative impact on individual physical and mental health, academic development, and interpersonal communication. This paper reviewed the extant literature by identifying nonpathological factors related to college students' depression, investigating the methods of predicting depression, and exploring nonpharmaceutical interventions for college students' depression. The influencing factors of college students' depression mainly fell into four categories: biological factors, personality and psychological state, college experience, and lifestyle. The outbreak of coronavirus disease 2019 has exacerbated the severity of depression among college students worldwide and poses grave challenges to the prevention and treatment of depression, given that the coronavirus has spread quickly with high infection rates, and the pandemic has changed the daily routines of college life. To predict and measure mental health, more advanced methods, such as machine algorithms and artificial intelligence, have emerged in recent years apart from the traditional commonly used psychological scales. Regarding nonpharmaceutical prevention measures, both general measures and professional measures for the prevention and treatment of college students' depression were examined in this study. Students who experience depressive disorders need family support and personalized interventions at college, which should also be supplemented by professional interventions such as cognitive behavioral therapy and online therapy. Through this literature review, we insist that the technology of identification, prediction, and prevention of depression among college students based on big data platforms will be extensively used in the future. Higher education institutions should understand the potential risk factors related to college students' depression and make more accurate screening and prevention available with the help of advanced technologies.
引用
收藏
页码:860 / 873
页数:14
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