Identifying Body Composition Measures That Correlate with Self-Compassion and Social Support
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arXiv
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| Autores principales: | , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| author | Poon, Enerson Fudolig, Mikaela Irene Hidalgo, Johanna E. Loftness, Bryn C. Stanton, Kathryn Tompkins, Connie L. Bloomfield, Laura S. P. Price, Matthew Dodds, Peter Sheridan Danforth, Christopher M. Cheney, Nick |
| author_facet | Poon, Enerson Fudolig, Mikaela Irene Hidalgo, Johanna E. Loftness, Bryn C. Stanton, Kathryn Tompkins, Connie L. Bloomfield, Laura S. P. Price, Matthew Dodds, Peter Sheridan Danforth, Christopher M. Cheney, Nick |
| contents | This study explores the relationship between body composition metrics, self-compassion, and social support among college students. Using seasonal body composition data from the InBody770 system and psychometric measures from the Lived Experiences Measured Using Rings Study (LEMURS) (n=156; freshmen=66, sophomores=90), Canonical Correlation Analysis (CCA) reveals body composition metrics exhibit moderate correlation with self-compassion and social support.
Certain physiological and psychological features showed strong and consistent relationships with well-being across the academic year. Trunk and leg impedance stood out as key physiological indicators, while mindfulness, over-identification, affectionate support, and tangible support emerged as recurring psychological and social correlates. This demonstrates that body composition metrics can serve as valuable biomarkers for indicating self-perceived psychosocial well-being, offering insights for future research on scalable mental health modeling and intervention strategies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_18467 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Identifying Body Composition Measures That Correlate with Self-Compassion and Social Support Poon, Enerson Fudolig, Mikaela Irene Hidalgo, Johanna E. Loftness, Bryn C. Stanton, Kathryn Tompkins, Connie L. Bloomfield, Laura S. P. Price, Matthew Dodds, Peter Sheridan Danforth, Christopher M. Cheney, Nick Computers and Society This study explores the relationship between body composition metrics, self-compassion, and social support among college students. Using seasonal body composition data from the InBody770 system and psychometric measures from the Lived Experiences Measured Using Rings Study (LEMURS) (n=156; freshmen=66, sophomores=90), Canonical Correlation Analysis (CCA) reveals body composition metrics exhibit moderate correlation with self-compassion and social support. Certain physiological and psychological features showed strong and consistent relationships with well-being across the academic year. Trunk and leg impedance stood out as key physiological indicators, while mindfulness, over-identification, affectionate support, and tangible support emerged as recurring psychological and social correlates. This demonstrates that body composition metrics can serve as valuable biomarkers for indicating self-perceived psychosocial well-being, offering insights for future research on scalable mental health modeling and intervention strategies. |
| title | Identifying Body Composition Measures That Correlate with Self-Compassion and Social Support |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2602.18467 |