{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T18:14:20Z","timestamp":1788372860869,"version":"build-2803163510"},"reference-count":56,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:00:00Z","timestamp":1760140800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Nutrients"],"abstract":"<jats:p>Background\/Objectives: To delineate integrated lifestyle profiles combining physical activity (PA) and dietary intake (DI) and test their links with lower limb injury in physically active young adults. Methods: We analyzed a cross-sectional convenience sample of university students (men: n = 91, 20.5 \u00b1 1.0 years; women: n = 118, 20.3 \u00b1 0.8 years). PA (IPAQ) and DI (QEB) were assessed alongside self-reported injuries. Latent class modeling derived PA\u2013DI profiles. Injury prevalence across profiles was compared (\u03c72), and logistic regression examined injury odds adjusting for sex, age, and BMI. Results: Four profiles emerged. Two reflected less healthy patterns (Profiles 2\u20133) and two healthier ones (Profiles 1, 4). Profile 4 showed higher vegetables\/legumes\/fermented milk and lower fast food\/sugary drinks; Profile 3 combined greater sitting and fried\/sweetened items with lower walking\/milk intake. Overall injury prevalence was 56.9%, ranging from 44.1% (Profile 2) to 66.7% (Profile 4 exceeded Profile 2 in pairwise comparison (\u03c72 (1) = 5.08, p = 0.024)). In adjusted models, men had higher injury odds (OR = 1.94, 95% CI: 1.09\u20133.48, p = 0.025); profile membership was not independently predictive, and profile \u00d7 sex interactions were null. Conclusions: Young adults cluster into distinct PA\u2013DI patterns that differ behaviorally, but sex\u2014rather than profile\u2014was the most consistent correlate of injury. Prevention should integrate lifestyle screening with sex-specific strategies.<\/jats:p>","DOI":"10.3390\/nu17203196","type":"journal-article","created":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T07:51:28Z","timestamp":1760428288000},"page":"3196","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Integrated Behavioral Profiles of Physical Activity and Dietary Intake in Young Adults and Their Associations with Lower Limb Injury Occurrence"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8057-3033","authenticated-orcid":false,"given":"Jaros\u0142aw","family":"Domaradzki","sequence":"first","affiliation":[{"name":"Department of Biological Principles of Physical Activity, Wroclaw University of Health and Sport Sciences, 51-612 Wroc\u0142aw, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,10,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1080\/14635240.2000.10806160","article-title":"The impact of transition from university on physically active students","volume":"38","author":"Carney","year":"2000","journal-title":"Int. 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