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A study on the relationship between students' psychological depression and family situations using multi-factor logistic regression analysis.
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- Author(s): Luo, Zhiyi1 (AUTHOR)
- Source:
Journal of Computational Methods in Sciences & Engineering. 2023, Vol. 23 Issue 6, p3103-3110. 8p.- Subject Terms:
- Source:
- Additional Information
- Subject Terms:
- 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. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Journal of Computational Methods in Sciences & Engineering is the property of IOS Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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