Lifestyle patterns and endocrine, metabolic, and immunological biomarkers in European adolescents: The HELENA study.
Accelerometry
Adolescent
Adolescent Behavior
/ physiology
Adolescent Nutritional Physiological Phenomena
Biomarkers
/ analysis
Body Composition
/ physiology
Child
Cross-Sectional Studies
Energy Metabolism
/ physiology
Europe
/ epidemiology
Exercise
/ physiology
Female
Hormones
/ analysis
Humans
Immune System
/ metabolism
Life Style
Male
Sedentary Behavior
Sleep
/ physiology
cardiometabolic biomarkers
physical activity
sedentary behavior
sleep time
youth
Journal
Pediatric diabetes
ISSN: 1399-5448
Titre abrégé: Pediatr Diabetes
Pays: Denmark
ID NLM: 100939345
Informations de publication
Date de publication:
02 2019
02 2019
Historique:
received:
08
08
2018
revised:
31
10
2018
accepted:
15
11
2018
pubmed:
25
11
2018
medline:
20
8
2019
entrez:
25
11
2018
Statut:
ppublish
Résumé
To evaluate the association of lifestyle patterns related to physical activity (PA), sedentariness, and sleep with endocrine, metabolic, and immunological health biomarkers in European adolescents. The present cross-sectional study comprised 3528 adolescents (1845 girls) (12.5-17.5 years) enrolled in the Healthy Lifestyle in Europe by Nutrition in Adolescence Study. Cluster analysis was performed by including body composition, PA by accelerometry, self-reported sedentary behaviors, and sleep duration. We also measured endocrine, metabolic, and immunological biomarkers. Three-cluster solutions were identified: (a) light-PA time, moderate-vigorous-PA time and sedentary time, (b) light-PA time, moderate-vigorous-PA time, sedentary time and sleep time, (c) light-PA time, moderate-vigorous-PA time, sedentary time and body composition. In addition, each cluster solution was defined as: "healthy," "medium healthy," and "unhealthy" according to the presented rating. Analysis of variance showed that overall the healthiest groups from the three clusters analyzed presented a better metabolic profile. A decision tree analysis showed that leptin had a strong association with cluster 3 in both boys and girls, high-density lipoprotein cholesterol had the strongest association with clusters 1 and 3 in boys. Cortisol had the strongest association with cluster 1. HOMA index (homeostatic model assessment) and C3 showed a strong association with cluster 3 in girls. Our results support the existence of different interactions between metabolic health and lifestyle patterns related to PA, sedentariness, and sleep, with some gender-specific findings. These results highlight the importance to consider multiple lifestyle-related health factors in the assessment of adolescents' health to plan favorable strategies.
Substances chimiques
Biomarkers
0
Hormones
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Pagination
23-31Informations de copyright
© 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.