{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T05:07:19Z","timestamp":1790140039110,"version":"4.0.1"},"reference-count":33,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T00:00:00Z","timestamp":1790121600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Nutr."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Medical student-athletes face combined academic, clinical, and competitive training demands that may disrupt sleep, dietary routines, emotional regulation, recovery, and cognitive functioning.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To examine associations between naturally occurring music-based emotional regulation, self-selected nutrition routines, psychophysiological recovery, and mental health-related markers using a non-interventional multimodal digital phenotyping framework.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Over 8\u202fweeks, 120 medical student-athletes were monitored without prescribed music, diet, therapy, or behavioral intervention. Data included wearable-derived nocturnal heart-rate variability, resting heart rate, sleep\u2013wake rhythm, activity and training load, participant-recorded music use, meal timing, hydration routines, food-photo logs, and brief emotional reflections. Three indices were constructed: The Music Regulation Pattern Index, Nutrition Rhythm Stability Index, and Psychophysiological Recovery Balance Index.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Monitoring feasibility was high and index reliability was acceptable. Music-regulation patterns were more strongly associated with emotional balance and focus-related language, whereas nutrition-rhythm stability was more closely associated with sleep regularity, heart-rate variability stability, and recovery balance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Naturally occurring music-use and nutrition-rhythm behaviors showed distinct associations with emotional and physiological recovery markers. Multimodal digital phenotyping may help identify potentially protective lifestyle patterns in medical student-athletes while preserving an observational, non-causal interpretation and avoiding unsupported treatment claims.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fnut.2026.1937687","type":"journal-article","created":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T04:45:43Z","timestamp":1790138743000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Music-based emotional regulation and nutrition strategies for mental health support among medical student-athletes"],"prefix":"10.3389","volume":"13","author":[{"given":"Jie","family":"Tang","sequence":"first","affiliation":[{"name":"College of Music, Xiangnan University","place":["Chenzhou, Hunan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianhui","family":"Xu","sequence":"additional","affiliation":[{"name":"College of 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