Publicación

Clustering of Multiple Lifestyle Behaviors and Health-related Fitness in European Adolescents

  • JOURNAL OF NUTRITION EDUCATION AND BEHAVIOR
  • Autores
    Cuenca-Garcia, M; Huybrechts, I; Ruiz, JR; Ortega, FB; Ottevaere, C; Gonzalez-Gross, M; Moreno, LA; Vicente-Rodriguez, G; Molnar, D; Polito, A; Manios, Y; Plada, M; Vanhelst, J; Widhalm, K; Sjostrom, M; Kersting, M; Castillo, MJ
  • Año Publicación
    2013
  • Volumen
    45
  • Número
    6
  • Pág. Inicio
    549
  • Pág. Fin
    557
  • Pág. Fin
    549
Referencia Citadas
44
Citas Web of Science
21
Total de veces citado (Z9)
22
Recuento Uso 180 días
1
Recuento Uso 5 años
46

Objective: To explore the clustering of different lifestyle behaviors and whether this clustering differs by gender, age, and health-related fitness. Design: Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) cross-sectional study. Setting: Ten European cities. Participants: A total of 2,084 adolescents (12.5-17.5 years). Main Outcome Measures: Four lifestyle behaviors were assessed by self-administered questionnaires: moderate to vigorous physical activity, homework time, screen time, and diet. Health-related fitness components (aerobic capacity, strength, speed-agility, and body composition) were assessed. Analysis: Hierarchical method and k-means cluster analysis. Analysis of variance tests. Results: Five clusters were identified: Healthy diet and Active, Healthy diet and Academic, Healthy diet and Inactive, Unhealthy diet and Screen user, and Unhealthy diet and Active. Younger adolescents were more active and followed a healthier diet than older adolescents. Older boys devoted more time to screen use, whereas older girls devoted more time to homework. Boys in the Healthy diet and Active cluster presented higher aerobic capacity and speed-agility, whereas girls presented higher aerobic capacity, strength, and speed-agility. Conclusions and Implications: Clustering of different lifestyle behaviors is observed. Different healthy lifestyles do not always come together and clusters are associated with gender, age, and health-related fitness, but not with body composition. These differences need to be considered when developing intervention strategies for the prevention of unhealthy habits.


Web financiada por la Junta de Andalucía, Consejería de Conocimiento, Investigación y Universidades, Fondo Europeo de Desarrollo Regional (FEDER), proyecto SOMM17/6107/UG

Web financiada por la Junta de Andalucía, Consejería de Conocimiento, Investigación y Universidades, Fondo Europeo de Desarrollo Regional (FEDER), proyecto SOMM17/6107/UGR