Identifying body composition measures that strongly predict self compassion and social support within the lived experiences measured using rings study (LEMURS)
Abstract
This study examines the relationship between body composition metrics and psychosocial factors in college students. Using In-Body770 data and psychometric measures from LEMURS, we applied Canonical Correlation Analysis (0.43–0.75) to assess seasonal associations. Significant correlations emerged between body composition, self-compassion, and social support. Compared to freshmen, sophomores showed lower mindfulness, self-judgment, and isolation but higher common humanity, with freshmen experiencing greater seasonal fluctuations. Findings suggest body composition metrics can serve as biomarkers for psychosocial well-being, providing insights for scalable mental health modeling and intervention strategies.
Primary Faculty Mentor Name
Byung Lee
Status
Undergraduate
Student College
College of Arts and Sciences
Program/Major
Self-Designed
Primary Research Category
Engineering and Math Science
Identifying body composition measures that strongly predict self compassion and social support within the lived experiences measured using rings study (LEMURS)
This study examines the relationship between body composition metrics and psychosocial factors in college students. Using In-Body770 data and psychometric measures from LEMURS, we applied Canonical Correlation Analysis (0.43–0.75) to assess seasonal associations. Significant correlations emerged between body composition, self-compassion, and social support. Compared to freshmen, sophomores showed lower mindfulness, self-judgment, and isolation but higher common humanity, with freshmen experiencing greater seasonal fluctuations. Findings suggest body composition metrics can serve as biomarkers for psychosocial well-being, providing insights for scalable mental health modeling and intervention strategies.
