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  • E-ISSN 3022-5388

로지스틱 회귀분석을 통한 청년 우울감의 다변량 분석 및 영향 요인 연구

Multivariate Analysis and Determinants of Youth Depression through Logistic Regression

한국인공지능학회지 / Journal of Korean Artificial Intelligence Association, (E)3022-5388
2023, v.1 no.2, pp.7-13
https://doi.org/10.24225/jkaia.2023.1.2.7
이성음(Seong Eum LEE) (을지대학교)
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Abstract

In this paper, Depression is a mental disorder characterized by a lack of enthusiasm and feelings of sadness, which significantly impairs daily functioning. In 2018, there was an increase in book sales in the essay genre, particularly the popularity of "healing essays." This trend is seen as challenging the negative image and prejudices associated with depression. In 2021, a significant rise in the proportion of 20-year-old patients with depression is attributed to factors like job-related stress, interpersonal issues, and financial burdens. Additionally, there is a strong correlation between depression and suicidal thoughts, particularly among individuals who have experienced feelings of depression. Despite the increasing prevalence of depression among young adults, research in this area is lacking. To address this gap, statistical tools such as logistic regression and chi-squared tests are employed. The analysis reveals various independent variables associated with feelings of depression, shedding light on the relationships between these factors.

keywords
Depressive disorder, Logistic Regression, Multivariate Analysis


투고일Submission Date
2023-10-29
수정일Revised Date
2023-11-14
게재확정일Accepted Date
2023-12-30
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