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Regina Alves
Universidade do Minho
Portugal
https://orcid.org/0000-0001-7189-5487
Biografía
Vol. 11 Núm. 1 (2024), Artículos
DOI: https://doi.org/10.17979/reipe.2024.11.1.10028
Recibido: nov. 2, 2023 Aceptado: ene. 25, 2024 Publicado: jul. 1, 2024
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Resumen

Tradicionalmente, la prevalencia de comportamientos de riesgo para la salud entre estudiantes universitarios es elevada. Aunque estos comportamientos suelen analizarse de forma aislada, es probable que coexistan múltiples comportamientos de riesgo. En este estudio, se llevó a cabo un análisis de clases latentes con datos transversales de 840 estudiantes portugueses (55.4% mujeres) para explorar los patrones de múltiples conductas de riesgo en siete dimensiones conductuales (consumo de alcohol, tabaquismo, alimentación poco saludable, sedentarismo, prácticas sexuales de riesgo, drogas ilícitas y prácticas de automedicación). Además, se llevó a cabo una regresión de clases latentes para explorar los predictores (bienestar percibido y características sociodemográficas y académicas) de cada patrón conductual. Surgió un modelo de tres clases con diferentes probabilidades de riesgo: conductas de bajo riesgo (51.4%), de riesgo moderado (14.9%) y de alto riesgo (33,7%). Los/as estudiantes con mejor percepción del bienestar y la salud tenían más probabilidades de pertenecer a la clase más saludable. Los/as de las clases de riesgo bajo y moderado tenían más probabilidades de estar en su primer año, no tener una relación sentimental y estudiar a tiempo completo. Quienes no habían cambiado de domicilio en el momento de acceder a la enseñanza superior y las mujeres tenían más probabilidades de pertenecer a la clase más sana. Este estudio presenta estrategias esenciales para la promoción de la salud entre universitarios/as, aportando conocimientos cruciales para diseñar intervenciones eficaces de promoción de la salud, especialmente para dirigirse a grupos específicos de estudiantes con patrones similares de conductas de riesgo múltiple.

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AFRASHTEH, Sima; GHAEM, Haleh & ABBASI-GHAHRAMANLOO, Abbas (2017). Clustering and combining pattern of high-risk behaviors among Iranian university students: A latent class analysis. Journal of Research in Health Sciences, 17(4), 00398. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189947/

ALVES, Regina F. (2022a). Knowledge, attitudes and health-related behaviors among Higher Education students: assessment and monitoring of a socioeducational intervention program in a non-formal context [Doctoral thesis, University of Minho]. https://hdl.handle.net/1822/75905

ALVES, Regina F. (2022b). The association between subjective well-being and risky behaviours in university students. Psihologijske Teme, 31(3), 565-583. https://doi.org/10.31820/pt.31.3.5

ALVES, Regina F. & PRECIOSO, José (2020). Knowledge, attitude and practice on healthy diet among university students in Portugal. International Journal of Nutrition Sciences, 5(2), 2-9. https://ijns.sums.ac.ir/article_46568.html

ALVES, Regina F. & PRECIOSO, José (2022). A influência dos pares no consumo de Substâncias Psicoativas entre estudantes universitários/as. Revista de Estudios e Investigación En Psicología y Educación, 9, 5-17. https://doi.org/10.17979/reipe.2022.9.0.8912

ALVES, Regina F.; PRECIOSO, José & BECOÑA, Elisardo (2020). Well-being and health perception of university students in Portugal: the influence of parental support and love relationship. Health Psychology Report, 8(2), 145-154. https://doi.org/10.5114/hpr.2020.94723

ALVES, Regina F.; PRECIOSO, José & BECOÑA, Elisardo (2021). Physical activity among Portuguese university students and its relation to knowledge and perceived barriers. Sportis. Scientific Journal of School Sport, Physical Education and Psychomotricity, 7(1), 25-42. https://doi.org/10.17979/sportis.2021.7.1.6924

BARRY, Adam E.; CHANEY, Beth H.; STELLEFSON, Michael L. & DODD, Virginia (2015). Evaluating the psychometric properties of the AUDIT-C among college students. Journal of Substance Use, 20(1), 1-5. https://doi.org/10.3109/14659891.2013.856479

BENNASAR-VENY, Miquel; YAÑEZ, Aina M.; PERICAS, Jordi; BALLESTER, Lluis; FERNANDEZ-DOMINGUEZ, Juan Carlos; TAULER, Pedro & AGUILO, Antoni (2020). Cluster analysis of health-related lifestyles in university students. International Journal of Environmental Research and Public Health, 17(5). https://doi.org/10.3390/IJERPH17051776

BLACK, Tara & STANTON, Alisa (2016, February 4). Final report on the development of the Okanagan Charter: An international charter for health promoting universities & colleges. International Conference on Health Promoting Universities and Colleges (7th: 2015). Kelowna, BC, Canada. https://doi.org/10.14288/1.0372504

BOWLING, Ann. (1998). Research methods in health : investigating health and health services. Open University Press.

CARTER, Ashlee C.; BRANDON, Karen Obremski & GOLDMAN, Mark S. (2010). The college and noncollege experience: A review of the factors that influence drinking behavior in young adulthood. Journal of Studies on Alcohol and Drugs, 71(5), 742-750. https://doi.org/10.15288/jsad.2010.71.742

CHAN, P., & SHEK, C. (2018). Latent class analysis of student artefacts. Proceedings of the 10th International Conference on Education Technology and Computers, 302-307. https://doi.org/10.1145/3290511.3290521

COLLINS, Linda M. & LANZA, Stephanie T. (2010). Latent class and latent transition analysis with applications in the social, behavioral, and health sciences. Wiley Series in Probability and Statistics. https://doi.org/10.1002/9780470567333

DAVOREN, Martin P.; DEMANT, Jakob; SHIELY, Frances & PERRY, Ivan J. (2016). Alcohol consumption among university students in Ireland and the United Kingdom from 2002 to 2014: a systematic review. BMC Public Health, 16(1), 173. https://doi.org/10.1186/s12889-016-2843-1

El ANSARI, Walid & BERG-BECKHOFF, Gabriele (2017). Country and gender-specific achievement of healthy nutrition and physical activity guidelines: Latent class analysis of 6266 university students in Egypt, Libya, and Palestine. Nutrients, 9(7), 738. https://doi.org/10.3390/nu9070738

EL ANSARI, Walid; SSEWANYANA, Derrick & STOCK, Christiane (2018). Behavioral health risk profiles of undergraduate university students in England, Wales, and Northern Ireland: A cluster analysis. Frontiers in Public Health, 6. https://doi.org/10.3389/FPUBH.2018.00120

GODIN, G. & SHEPHARD, R. J. (1997). Godin leisure-time exercise questionnaire. Medicine and science in sports and exercise, 29(6), 36-38. https://doi.org/10.1097/00005768-199706001-00009

HUTCHESSON, Melinda J.; DUNCAN, Mitch J.; OFTEDAL, Stina; ASHTON, Lee M.; OLDMEADOW, Christopher, KAY-LAMBKIN, Frances & WHATNALL, Megan C. (2021). Latent class analysis of multiple health risk behaviors among Australian university students and associations with psychological distress. Nutrients, 13(2), 425. https://doi.org/10.3390/nu13020425

HYSKA, Jolanda; MERSINI, Ehadu; MONE, Iris; BUSHI, Entela; SADIKU, Edite & HOTI, Kliti (2014). Assessment of knowledge, attitudes and practices about public health nutrition among students of the University of Medicine in Tirana, Albania. Southeastern European Journal of Public Health, 88, 1-8. https://doi.org/10.12908/SEEJPH-2014-01

JAMES, Erica; FREUND, Megan; BOOTH, Angela; DUNCAN, Mitch. J.; JOHNSON, Natalie; SHORT, Camille E.; WOLFENDEN, Luck; STACEY, Fiona G.; KAY-LAMBKIN, Frances & VANDELANOTTE, Corneel (2016). Comparative efficacy of simultaneous versus sequential multiple health behavior change interventions among adults: A systematic review of randomised trials. Preventive Medicine, 89, 211-223. https://doi.org/10.1016/j.ypmed.2016.06.012

JAO, Nancy C.; ROBINSON, Laura D.; KELLY, Peter J.; CIECIERSKI, Christina C. & HITSMAN, Brian (2019). Unhealthy behavior clustering and mental health status in United States college students. Journal of American College Health, 67(8), 790-800. https://doi.org/10.1080/07448481.2018.1515744

KABIR, Kourosh; BAHARI, Ali; HAJIZADEH, Mohammad; ALLAHVERDIPOUR, Hamid; TARRAHI, Mohammad J.; FAKHARI, Ali; ANSARI, Hossein & MOHAMMADPOORASL, Asghar (2018). Substance abuse behaviors among university freshmen in Iran: a latent class analysis. Epidemiology and Health, 40, e2018030. https://doi.org/10.4178/epih.e2018030

KANG, Joseph; CIECIERSKI, Christina Czart; MALIN, Emily L.; CARROLL, Allison J.; GIDEA, Marian; CRAFT, Lynette L.; SPRING, Bonnie & HITSMAN, Brian (2014). A latent class analysis of cancer risk behaviors among U.S. college students. Preventive Medicine, 64, 121-125. https://doi.org/10.1016/j.ypmed.2014.03.023

KWAN, Matthew; ARBOUR-NICITOPOULOS, Kelly P.; DUKU, Eric; & FAULKNER, Guy (2016). Patterns of multiple health risk-behaviours in university students and their association with mental health: application of latent class analysis. Policy and Practice, 36(8). https://doi.org/10.24095/hpcdp.36.8.03

LANZA, Stephanie T. & RHOADES, Brittany L. (2013). Latent class analysis: An alternative perspective on subgroup analysis in prevention and treatment. Prevention Science, 14(2), 157-168. https://doi.org/10.1007/s11121-011-0201-1

LANZA, Stephanie T.; SAVAGE, Jennifer S. & BIRCH, Leann L. (2010). Identification and prediction of latent classes of weight-loss strategies among women. Obesity, 18(4), 833-840. https://doi.org/10.1038/oby.2009.275

LAVADO, Elsa; CALADO, Vasco; & FEIJÃO, Fernanda (2020). ECATD-CAD 2019. Estudo sobre o consumo de álcool, tabaco, drogas e outros comportamentos aditivos e dependências: Portugal 2019. Serviço de Intervenção nos Comportamentos Aditivos e nas Dependências - SICAD. Disponível em: https://www.sicad.pt/PT/EstatisticaInvestigacao/EstudosConcluidos/Paginas/detalhe.aspx?itemId=221&lista=SICAD_ESTUDOS&bkUrl=/BK/EstatisticaInvestigacao/EstudosConcluidos

LASKA, Melissa Nelson; PASCH, Keryn E.; LUST, Katherine; STORY, Mary & EHLINGER, Ed (2009). Latent class analysis of lifestyle characteristics and health risk behaviors among college youth. Prevention Science, 10(4), 376-386. https://doi.org/10.1007/s11121-009-0140-2

MA, Cecilia M. & LAI, Catie C. (2018). Mental health profile and health-related behavior among Hong Kong Chinese university students. Health Psychology Open, 5(2), 205510291878686. https://doi.org/10.1177/2055102918786869

MACEDO, Tassia T. S.; MUSSI, Fernanda C.; SHEETS, Debra; CAMPOS, Ana C. P.; PATRÃO, Ana L.; FREITAS, Caren L. M. & PAIM, Melissa A. S. (2020). Lifestyle behaviors among undergraduate nursing students: A latent class analysis. Research in Nursing & Health, 43(5), 520-528. https://doi.org/10.1002/nur.22064

MATHUR, Charu; STIGLER, Melissa; LUST, Katherine & LASKA, Melissa (2014). A latent class analysis of weight-related health behaviors among 2- and 4-year college students and associated risk of obesity. Health Education & Behavior, 41(6), 663-672. https://doi.org/10.1177/1090198114537062

MOLENDIJK, Marc; MOLERO, Patricio; ORTUÑO SÁNCHEZ-PEDREÑO, Felipe; VAN DER DOES, Willem & ANGEL MARTÍNEZ-GONZÁLEZ, Miguel (2018). Diet quality and depression risk: A systematic review and dose-response meta-analysis of prospective studies. Journal of Affective Disorders, 226, 346-354. https://doi.org/10.1016/j.jad.2017.09.022

NAZAR, Gabriela; STIEPOVIC, Jasna & BUSTOS, Claudio (2019). Latent class analysis of lifestyle behavior among Chilean university students. International Journal of Health Promotion and Education, 57(2), 98-111. https://doi.org/10.1080/14635240.2018.1552534

NYLUND-GIBSON, Karen & CHOI, Andrew Young (2018). Ten frequently asked questions about latent class analysis. Translational Issues in Psychological Science, 4(4), 440-461. https://doi.org/10.1037/tps0000176

ODPHP - Office of Disease Prevention and Health Promotion. (2020). Healthy People 2020. Available in: https://wayback.archive-it.org/5774/20220413182850/https://www.healthypeople.gov/2020/

SANSCARTIER, Matthew D.; EDGERTON, Jason D. & ROBERTS, Lance W. (2018). A latent class analysis of gambling activity patterns in a Canadian university sample of emerging adults: Socio-demographic, motivational, and mental health correlates. Journal of Gambling Studies, 34(3), 863-880. https://doi.org/10.1007/s10899-017-9734-y

SCHUCH, Felipe B.; VANCAMPFORT, Davy; FIRTH, Joseph; ROSENBAUM, Simon; WARD, Philip B.; SILVA, Edson S.; HALLGREN, Mats; PONCE DE LEON, Antonio; DUNN, Andrea L.; DESLANDES, Andrea C.; FLECK, Marcelo P.; CARVALHO, Andre F., & STUBBS, Brendon (2018). Physical activity and incident depression: A meta-analysis of prospective cohort studies. American Journal of Psychiatry, 175(7), 631-648. https://doi.org/10.1176/appi.ajp.2018.17111194

TORQUATO, Sara C. R.; DA SILVA, Emilene F.; RODRIGUES, Aline R.; PIMENTA, Mayara V. T.; MOURA, Jayne R. A. & DA SILVA, Ana Roberta V. (2016). Sedentary lifestyle and metabolic disorders among university study / Sedentarismo e alterações metabólicas entre universitários / Estilo de vida sedentario y trastornos metabólicos entre la universidad. Revista de Enfermagem Da UFPI, 5(2), 16. https://doi.org/10.26694/reufpi.v5i2.5244

WING KWAN, Matthew Y.; BRAY, Steven R. & MARTIN GINIS, Kathleen A. (2009). Predicting Physical Activity of First-Year University Students: An Application of the Theory of Planned Behavior. Journal of American College Health, 58(1), 45-55. https://doi.org/10.3200/JACH.58.1.45-55

WORLD HEALTH ORGANIZATION. (2008). Advocacy, communication and social mobilization for TB control: a guide to developing knowledge, attitude and practice surveys. https://apps.who.int/iris/handle/10665/43790

WORLD HEALTH ORGANIZATION. (2020). Healthy diet. https://www.who.int/news-room/fact-sheets/detail/healthy-diet

XU, Rixiang; MU, Tingyu; WANG, Guan; SHI, Jing; WANG, Xin & NI, Xiaoli (2019). Self-medication with antibiotics among university students in LMIC: A systematic review and meta-analysis. The Journal of Infection in Developing Countries, 13(08), 678-689. https://doi.org/10.3855/jidc.11359