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University students, known for their unhealthy lifestyles, represent a critical population for early intervention. However, few studies have examined their NCD risk profile.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To assess self\u2010reported NCD4, CMDs, metabolic and lifestyle risk factor prevalence and the latent risk profiles present in a South African university student population.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      This cross\u2010sectional descriptive study used 2021\u20132023 data from the MaRooN Health Passport, an online health survey emailed to one university (\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a03252). Latent class analysis (LCA) identified naturally occurring subgroups based on NCDs, metabolic and lifestyle risk factor patterns.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Most participants had a median age of 21, were women (59.7%), undergraduates (76.5%) and attended non\u2010medical faculties (82.2%). The overall NCD prevalence was 52.5%. Chronic respiratory diseases (34.7%), CMDs (31.2%), raised body mass index (35.4%) and various lifestyle risk factors were prevalent. LCA identified three latent risk profiles. Although poor nutrition and alcohol use were common across groups, stress\u2010related factors (psychological distress, poor sleep and CMDs) differentiated the moderate\u2010 (28.7%) and higher risk (14.8%) groups from the lower risk group (56.5%), with increased substance use uniquely marking the higher risk group. NCDs and lifestyle risk factor prevalence and profiles differed according to gender.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The characteristics of the latent risk profiles and NCD distribution identified in this study position university students as an \u2018early\u2010risk\u2019 population. Co\u2010occurring stress\u2010related factors and increased substance use characterised the higher risk group, whereas poor diet was common across profiles. Despite limitations, these findings highlight specific modifiable risk factors that can be addressed in this low\u2010resource setting by combining population\u2010level nutrition strategies with targeted, multi\u2010behavioural interventions focusing on stress\u2010related factors and substance use to improve student health.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/puh2.70221","type":"journal-article","created":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T12:02:55Z","timestamp":1775736175000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Non\u2010Communicable Disease, Metabolic and Lifestyle Risk Factor Profiles in South African University Students: A Latent Class Analysis"],"prefix":"10.1002","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-8459-7969","authenticated-orcid":false,"given":"Melissa","family":"Janse van 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