التفاصيل البيبلوغرافية
| العنوان: |
Clustering of Multiple Lifestyle Behaviors and Health-related Fitness in European Adolescents. |
| المؤلفون: |
Cuenca-GarcÃa, Magdalena1,2 mmcuenca@ugr.es, Huybrechts, Inge2, Ruiz, Jonatan R.3,4, Ortega, Francisco B.1,3,4, Ottevaere, Charlene2, González-Gross, Marcela5, Moreno, Luis A.6, Vicente-RodrÃguez, Germán6, Molnár, Denés7, Polito, Angela8, Manios, Yannis9, Plada, Maria10, Vanhelst, Jeremy11,12, Widhalm, Kurt13, Sjöström, Michael4, Kersting, Mathilde14, Castillo, Manuel J.1 |
| المصدر: |
Journal of Nutrition Education & Behavior. Nov/Dec2013, Vol. 45 Issue 6, p549-557. 9p. 4 Charts, 1 Graph. |
| مصطلحات موضوعية: |
*GRIP strength, *MOTOR ability, *BODY composition, *ACADEMIC achievement, *AGE distribution, *ANALYSIS of variance, *CHILDREN'S health, *CHILD nutrition, *CLUSTER analysis (Statistics), *COMPARATIVE studies, *COMPUTERS, *STATISTICAL correlation, *EXERCISE tests, *HEALTH behavior in adolescence, *JUMPING, *MEDICAL cooperation, *MUSCLE strength, *NUTRITIONAL assessment, *PHYSICAL fitness, *QUESTIONNAIRES, *RESEARCH, *RESEARCH funding, *RUNNING, *SELF-evaluation, *SEX distribution, *SKINFOLD thickness, *STATISTICS, *ADOLESCENT health, *TELEVISION, *ADOLESCENT nutrition, *DATA analysis, *EFFECT sizes (Statistics), *LIFESTYLES, *INTER-observer reliability, *OXYGEN consumption, *CROSS-sectional method, *PHYSICAL activity, *DATA analysis software, *WAIST circumference, *DESCRIPTIVE statistics, RESEARCH evaluation |
| مصطلحات جغرافية: |
EUROPE |
| مستخلص: |
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 specd-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. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
Academic Search Index |