A study on the relationship between students’ psychological depression and family situations using multi-factor logistic regression analysis

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY
Zhiyi Luo
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引用次数: 0

Abstract

Long-term psychological depression can seriously damage the physical and mental growth of adolescent students, and effective interventions are needed to address students’ depression. This paper briefly introduced students’ depressive mood and surveyed students in three grades from ten high schools in Zhengzhou City in 2020 with questionnaires that included the degree of depression and family environment in addition to conventional information. After preliminary screening of indicators related to depressive mood, the influence of family environment on depressive mood was analyzed using multiple regression analysis. The results showed that factors such as intimacy, recreation, and organization in the family environment could effectively suppress depressive mood, while ambivalent and controlling factors could exacerbate depressive mood.
利用多因素逻辑回归分析法研究学生心理抑郁与家庭状况的关系
长期的心理抑郁会严重损害青少年学生的身心健康成长,需要对学生的抑郁情绪进行有效干预。本文简要介绍了学生的抑郁情绪,并对 2020 年郑州市十所高中三个年级的学生进行了问卷调查,问卷内容除常规信息外,还包括抑郁程度、家庭环境等。在对抑郁情绪相关指标进行初步筛选后,采用多元回归分析法分析了家庭环境对抑郁情绪的影响。结果显示,家庭环境中的亲密性、娱乐性、组织性等因素可以有效抑制抑郁情绪,而矛盾性和控制性因素则会加重抑郁情绪。
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
152
期刊介绍: The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering. Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole. This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.
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