Lifestyle patterns and endocrine, metabolic, and immunological biomarkers in European adolescents: The HELENA study

Agostinis-Sobrinho, C. ; Gómez-Martínez, S. ; Nova, E. ; Hernandez, A. ; Labayen, I. ; Kafatos, A. ; Gottand, F. ; Molnár, D. ; Ferrari, M. ; Moreno, L.A. (Universidad de Zaragoza) ; González-Gross, M. ; Michels, N. ; Ruperez, A. (Universidad de Zaragoza) ; Ruiz, J.R. ; Marcos, A.

Resumen: Objective: 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.
Methods: 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.
Results: 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.
Conclusions: 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.

Idioma: Inglés

DOI: 10.1111/pedi.12802

Año: 2018

Publicado en: Pediatric Diabetes 20, 1 (2018), 23-31
ISSN: 1399-543X

Factor impacto JCR: 3.347 (2018)

Categ. JCR: PEDIATRICS rank: 12 / 124 = 0.097 (2018) - Q1 - T1
Categ. JCR: ENDOCRINOLOGY & METABOLISM rank: 58 / 145 = 0.4 (2018) - Q2 - T2

Factor impacto SCIMAGO: 1.328 - Endocrinology, Diabetes and Metabolism (Q1) - Pediatrics, Perinatology and Child Health (Q1) - Internal Medicine (Q1)

Financiación: info:eu-repo/grantAgreement/EUR/FP6/FOODCT-2005-007034

Tipo y forma: Artículo (PostPrint)

Área (Departamento): Área Enfermería (Dpto. Fisiatría y Enfermería)