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To reduce confounding, we applied Propensity Score Matching (PSM) and modeled associations using Zero-Inflated Generalized Linear Mixed Models (ZIGLMM) across music genres and audio attributes (valence, tempo, instrumentalness). The results reveal clear mental health\u2013specific and genre-dependent effects. For example, users with depression showed 24% higher stress 60 min after listening to pop music, while PTSD users exhibited a 33% increase after 30 min. Low-valence music was associated with delayed stress increases (e.g., 14% in depression and approximately 25% in bipolar), whereas high-valence music showed no significant stress elevation. Building on these findings, we demonstrate a proof-of-concept, stress-aware music recommendation framework that more effectively ranks stress-reducing songs (MRR = 0.35 vs. 0.18 for the base model). These findings highlight the potential of data-driven music interventions for emotional well-being.<\/jats:p>","DOI":"10.1145\/3797892","type":"journal-article","created":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T15:00:31Z","timestamp":1771254031000},"page":"1-41","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Music Listening, Mental Health, and Stress: A Computational Framework for Personalized Analysis and Recommendation"],"prefix":"10.1145","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-9532-5269","authenticated-orcid":false,"given":"Parya","family":"Abadeh","sequence":"first","affiliation":[{"name":"School of Engineering, University of Guelph, Guelph, Ontario, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-6854-3822","authenticated-orcid":false,"given":"Zeinab","family":"Noorian","sequence":"additional","affiliation":[{"name":"School of Information Technology Management, Toronto Metropolitan University, Toronto, Ontario, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2102-9190","authenticated-orcid":false,"given":"Fattane","family":"Zarrinkalam","sequence":"additional","affiliation":[{"name":"School of Engineering, University of Guelph, Guelph, Ontario, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5583-3008","authenticated-orcid":false,"given":"Amira","family":"Ghenai","sequence":"additional","affiliation":[{"name":"School of Information Technology Management, Toronto Metropolitan University, Toronto, Ontario, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,4,17]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2025.3561073"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1177\/14413582241312930"},{"issue":"3","key":"e_1_3_2_4_2","article-title":"What users\u2019 musical preference on Twitter reveals about psychological disorders","volume":"60","author":"Alavijeh Soroush Zamani","year":"2023","unstructured":"Soroush Zamani Alavijeh, Fattane Zarrinkalam, Zeinab Noorian, Anahita Mehrpour, and Kobra Etminani. 2023. 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