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

Author:

Morshed Mehrab Bin1ORCID,Kulkarni Samruddhi Shreeram1ORCID,Saha Koustuv2ORCID,Li Richard3ORCID,Roper Leah G.1ORCID,Nachman Lama4ORCID,Lu Hong4ORCID,Mirabella Lucia5ORCID,Srivastava Sanjeev5ORCID,de Barbaro Kaya6ORCID,de Choudhury Munmun1ORCID,Plötz Thomas1ORCID,Abowd Gregory7ORCID

Affiliation:

1. Georgia Institute of Technology, Atlanta, GA, USA

2. Microsoft Research, Québec, Canada

3. University of Washington, Seattle, WA, USA

4. Intel Labs, Santa Clara, CA, USA

5. Siemens Corporation, Princeton, NJ, USA

6. The University of Texas at Austin, Austin, TX, USA

7. Northeastern University, Boston, MA, USA

Abstract

Deviant 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.

Funder

Siemens FutureMaker Fellowship Task Order #7

NIH

Semiconductor Research Corporation in collaboration with Intel Labs

Publisher

Association for Computing Machinery (ACM)

Subject

Health Information Management,Health Informatics,Computer Science Applications,Biomedical Engineering,Information Systems,Medicine (miscellaneous),Software

Reference136 articles.

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