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Health risk behaviors among university students: A latent class cnalysis and its association with mental health

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Resumo(s)

Health behaviors (HB) are critical for university students, as they are closely associated with academic and overall well-being. This cross-sectional study aimed to explore health behaviors in a sample of university students, identify patterns of HB, and examine the association between these patterns and mental health outcomes. The sample consisted of 1085 university students enrolled at a private higher-education institution. Participants were predominantly female (83.4%), with a mean age of 22.74 years (= 7.03). Latent Class Analysis (LCA) was employed to identify distinct classes of HB. Three classes were identified: Class 1, labelled as the Unhealthy habits - high-stress profile (15.7%); Class 2, labelled as the Healthy/Low-risk group (68%); and Class 3, labelled as the Unhealthy habits - substance-use profile (16.3%). Significant differences in mental health outcomes were observed, with the Unhealthy habits - high stress profile displaying significantly worse mental health compared to the Healthy/Unhealthy habits - substance use profile. These findings reinforce the idea that HB do not operate in isolation but are interdependent components of a broader lifestyle pattern. The findings may inform the development of targeted interventions to promote healthier lifestyle patterns and support mental health among university students, particularly for the Unhealthy habits - high stress profile in the student population.

Descrição

Palavras-chave

health behaviors lifestyle mental health university latent class analysis

Contexto Educativo

Citação

Brandão, T., Gouveia, M. J., Neto, D. D., Queirós, F., Loureiro, F., Rocha, T. A., Martins, A. C., Belo, S., Rodrigues, S., & Vargas-Moniz, M. (2026b). Health risk behaviors among university students: A latent class analysis and its association with mental health. Psychological Reports, 332941261473839. https://doi.org/10.1177/00332941261473839

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Editora

SAGE Publications

Licença CC

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