Research on College Students' Mental Health Based on Logistic Regression Model
DOI:
https://doi.org/10.53469/jsshl.2025.08(02).03Keywords:
College Students' Mental Health, Logistic Regression Model, K-Means Clustering Model, Multiple Linear Regression ModelAbstract
Objective: College students are at a transitional stage where their psychological development is gradually maturing, and they are moving from a single environment to a more diverse one. Therefore, studying the factors that affect their mental health is of great significance. Methods: This paper first predicts the impact of various factors on college students' mental health based on a logistic regression model. Next, it classifies college students using a k-means clustering model. Finally, a multiple linear regression model is established to predict the influence of different factors. Conclusions: 1) The impact of family education methods on the mental health of college students is the most significant. 2) The structure is most stable when the optimal number of clusters for college students is k=3. 3) The primary factor affecting the mental health of college students is family-related, followed by academic factors, and lastly, social factors.
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