Publicação
Co-Occurrence of lifestyle risk behaviors among physical education and sport university students: evidence from a cluster analysis
| datacite.subject.sdg | 03:Saúde de Qualidade | |
| datacite.subject.sdg | 04:Educação de Qualidade | |
| datacite.subject.sdg | 10:Reduzir as Desigualdades | |
| dc.contributor.author | Santos, Vanessa | |
| dc.contributor.author | Serpa, Joana | |
| dc.contributor.author | Parreira, Mariana | |
| dc.contributor.author | Correia, Vanda | |
| dc.contributor.author | Marconcin, Priscila | |
| dc.date.accessioned | 2026-06-23T17:15:53Z | |
| dc.date.available | 2026-06-23T17:15:53Z | |
| dc.date.issued | 2026-04-24 | |
| dc.description.abstract | Background: Health-related behaviors often cluster during young adulthood, potentially increasing the risk of long-term adverse health outcomes. Understanding how lifestyle risk behaviors co-occur among university students is essential for developing targeted health promotion strategies. Objective: This study aimed to identify lifestyle risk profiles among university students based on the co-occurrence of smoking behavior, alcohol consumption, sedentary behavior, and body weight status. Methods: A cross-sectional study was conducted with 147 university students enrolled in a physical education and sport undergraduate program (mean age: 20.58 ± 2.94 years; 80.3% male). Physical activity and sedentary behavior were assessed using the International Physical Activity Questionnaire–Short Form (IPAQ-SF), while smoking and alcohol consumption were selfreported. Body mass index was used to classify weight status. Lifestyle risk profiles were identified using two-step cluster analysis based on regular smoking, alcohol consumption, sedentary behavior, and overweight/obesity. Differences in cluster distribution according to sex and federated athlete status were examined using chi-square tests. A two-step cluster analysis based on the Bayesian Information Criterion (BIC) and silhouette measure was used to identify lifestyle risk profiles. Results: Overall, 46.9% of participants had experimented with tobacco, 11.6% were current smokers, and 74.8% reported alcohol consumption. Participants accumulated an average of 3772.25 ± 1957.99 MET-min/week of physical activity. Three distinct lifestyle risk profiles were identified. Cluster 1 (46.9%), labeled the alcohol profile, was characterized by alcohol consumption without smoking and no prevalence of being overweight. Cluster 2 (20.4%), the multiple-risk profile, included participants who reported regular smoking, with nearly half presenting sedentary behavior and overweight/obesity. Cluster 3 (32.7%), the overweight profile, was characterized by overweight/obesity combined with alcohol consumption but no smoking. No significant differences were observed in the distribution of lifestyle profiles according to sex (p = 0.111) or federated athlete status (p = 0.087). Conclusions: Lifestyle risk behaviors cluster into distinct profiles among university students, with alcohol consumption appearing across multiple profiles and smoking concentrated in a specific high-risk group. These findings highlight the need for targeted health promotion strategies addressing multiple co-occurring behaviors within university populations. | eng |
| dc.description.sponsorship | UID/06349/2025; UID/PRR/06349/2025; UID/06185/2025, UID/PRR/06185/2025; UID/PRR2/06185/2025 | |
| dc.identifier.doi | 10.3390/healthcare14091145 | |
| dc.identifier.issn | 2227-9032 | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/29130 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | MDPI AG | |
| dc.relation.ispartof | Healthcare | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | University students | |
| dc.subject | Lifestyle behaviors | |
| dc.subject | Alcohol consumption | |
| dc.subject | Smoking | |
| dc.subject | Sedentary behavior | |
| dc.subject | Cluster analysis | |
| dc.title | Co-Occurrence of lifestyle risk behaviors among physical education and sport university students: evidence from a cluster analysis | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 9 | |
| oaire.citation.title | Healthcare | |
| oaire.citation.volume | 14 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Correia | |
| person.givenName | Vanda | |
| person.identifier.ciencia-id | 1F1A-3985-54D2 | |
| person.identifier.orcid | 0000-0003-2457-8256 | |
| person.identifier.rid | M-8645-2013 | |
| person.identifier.scopus-author-id | 35787792700 | |
| relation.isAuthorOfPublication | db9b8c3f-9543-4efa-8446-da16f59a0379 | |
| relation.isAuthorOfPublication.latestForDiscovery | db9b8c3f-9543-4efa-8446-da16f59a0379 |