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Latent class analysis of physical activity, screen time and sleep: Association with obesity in youth

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Publicado en:Journal of Physical Education and Sport vol. 25, no. 4 (Apr 2025), p. 884-893
Autor principal: Cardoso, Darley Severino
Otros Autores: Almeida, Rodrigo Da Silva, Da Silva, Thais Maria, Freitas, Eylla Cristina Vieira, Feitosa, Samanta Barbosa, Mijarra-Murillo, Juan-Jose, De Lima, Maria Mylena Aguiar, Junior, Rildo De Souza Wanderley, Morena, Jose Manuel Delfa De La, De Barros, Mauro Virgilio Gomes, Hardman, Carla Meneses, Queiroz, Daniel Da Rocha
Publicado:
Universitatea din Pitesti
Materias:
Brazil
Child development
Exercise
Students
Sleep
Health surveys
Epidemiology
Chronic illnesses
Health promotion
Developing countries > LDCs
Sedentary behavior
Adolescence
Screen time
Schools
Obesity
Public health
Overweight
Children & youth
Cluster analysis
Latent class analysis
Adults
Teenagers
Multivariate Analysis
Social Change
Child Health
World Problems
State Surveys
Communicable Diseases
Behavior Patterns
Time
Early Adolescents
Chronic Illness
Student Surveys
Psychological Patterns
Student Participation
Mathematical Formulas
Health Behavior
Behavior Change
Mental Disorders
Youth
Acceso en línea:Citation/Abstract
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Resumen:Obesity is a major public health concern, that has demonstrated a considerable global increase in recent years, including in low and middle-income countries. However, there are still gaps in the literature regarding the combined influence of physical activity, screen time, and sleep on obesity in young people, particularly during the transition phase from adolescence to adulthood. This study aimed to identify latent classes based on physical activity, screen time, and sleep behaviors among youths and analyze the association of these behavioral clusters with obesity. This is a cross-sectional study, conducted as part of a school-based epidemiological survey with state-wide coverage, involving 2,925 young people aged 14 to 19 years. Information was obtained using a translated, self-administered, and previously tested version of the Global School-Based Student Health Survey (GSHS). Binary logistic regression was performed to analyze the association between the cluster of physical activity, screen time, and sleep behaviors with obesity. In total, 13.3% of the young people were obese,31.1% reported being active per week, 35.5% had low screen time per day, and 38.3% had adequate nighttime sleep. It is concluded that there was no association between the clusters of physical activity, screen time, and sleep behaviors with obesity in the analysis for the total sample and in the analyses stratified by sex.
ISSN:2247-8051
2247-806X
DOI:10.7752/jpes.2025.04096
Fuente:Consumer Health Database