Predicting physical activity engagement among college students: A logistic regression analysis of lifestyle influences

Abstract

This research aimed to create a model that could predict how likely college students are to participate in physical activities (PA) using a method called logistic regression analysis. The study collected data from 1,118 students at the largest private university in Mindanao, Philippines, through a survey called the physical activity engagement survey (PAES). An analysis of the students' backgrounds found that most of them were single, did not have jobs, were female, and did not have children. The study also looked at the students' lifestyles and found many did not have a family history of illness but did consume a lot of junk food and alcohol and did not often walk from home to school. The analysis using logistic regression found important factors that could predict if students would take part in PA. It was discovered that male students were more likely to be active than female students. Surprisingly, students studying degrees that required physical effort and those who had jobs were less likely to be active. On the other hand, students who had a strong interest in PA and knew its benefits were more likely to be active. The model was able to correctly identify whether 72.9% of the students were active or not. Additionally, it was noted that students often ate out, consuming a lot of burgers, fried foods, sweets, and sugary drinks. The study also looked at how students viewed their physical education (PE) classes, their own fitness levels, and how effective they thought their PE teachers and facilities were. Overall, students had a positive view but also pointed out some areas that could be better. This detailed analysis shows that many different factors, like background, lifestyle, and perceptions, play a role in whether college students are likely to engage in PA. The findings suggest that efforts to encourage PA among students should be tailored to address these diverse factors.