Food, Mood, Context: Examining College Students’ Eating Context and Mental Well-being

MB Morshed, SS Kulkarni, K Saha,R Li,LG Roper,L Nachman,H Lu

ACM Transactions on Computing for Healthcare(2022)

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摘要
AbstractDeviant eating behavior such as skipping meals and consuming unhealthy meals has a significant association with mental well-being in college students. However, there is more to what an individual eats. While eating patterns form a critical component of their mental well-being, insights and assessments related to the interplay of eating patterns and mental well-being remain under-explored in theory and practice. To bridge this gap, we use an existing real-time eating detection system that captures context during meals to examine how college students’ eating context associates with their mental well-being, particularly their affect, anxiety, depression, and stress. Our findings suggest that students’ irregularity or skipping meals negatively correlates with their mental well-being, whereas eating with family and friends positively correlates with improved mental well-being. We discuss the implications of our study in designing dietary intervention technologies and guiding student-centric well-being technologies.
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关键词
Eating behavior,eating detection,eating context,mental health,stress,depression,anxiety,college students,wearable,affective computing
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