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Contributor
Ajaya Swain
Digital Publisher
Digital Commons at St. Mary's University
Publication Date
Spring 2025
Keywords
Depression; Higher education -- Students; Mental Health; Proactive treatment; Predictive modeling
Description
• Student depression is a growing public health concern that adversely affects academic performance and general well-being.
• According to Ibrahim et al. (2013), the prevalence of depression among university students ranges from 10% to 85%, with an overall weighted mean of 30.6%.
• Factors such as financial challenges, academic stress, and social adjustments significantly contribute to higher depression rates among students compared to the general population.
• Studies have shown that female students are more prone to depression due to hormonal, psychological, and social factors (Altemus et al., 2014). Depression impacts academic performance, reducing cognitive function and increasing dropout rates (Eisenberg et al., 2007).
• Therefore, proactive mental healthcare interventions are vital for student well-being and academic success.
• Predictive modeling using decision trees offers a data-driven approach to understanding complex relationships between demographic, academic, and lifestyle factors and depression levels, enabling more targeted interventions.
Format
Size
1 page
City
San Antonio, Texas
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
