Affiliation:
1. Federal University of Rio Grande do Sul
2. Universidade Regional do Cariri
3. University of Los Lagos
4. Pablo de Olavide University
5. Pontificial Catholic University of Valparaiso
6. University of Santa Cruz do Sul
Abstract
Abstract
Background
Overweight and obesity in adolescence is a clear example of a complex system challenging, as it is a human development stage that obesity is associated with metabolic, neurodevelopmental, psychological, social, and behavioral changes, which makes treatment for this comorbidity difficult. Objective: analyze the relationships between sociodemographic, behavioral, breastfeeding, body composition, physical fitness, and biomarkers of insulin metabolism before and after a multicomponent intervention with overweight and obese adolescents through network analysis.
Methods: quasi-experimental, 37 overweight/obese adolescents, Intervention Group-IG = 17; Control Group-CG = 20. The program lasted six months, three weekly sessions of physical exercises, nutritional and psychological guidance. The assessment was performed in the moments before and after the intervention on body composition, physical fitness and insulin biomarkers and lifestyle indicators. Network Analysis was used with three centrality indicators: proximity; strength and expected influence.
Results: Two networks were generated, for the moment before and after the intervention. For centrality measures before the intervention, closeness: sex (1.059), pubertal stage (1.268); strength: pubertal stage (1.268), physical activity (1.160), screen time (1.388); expected influence: age (1.658), HOMA-IR (1.171), insulin (1.304), glucose, CC (1.394). For after the intervention, closeness: sex (1.102), type of school (1.221), WHR (1.221); strength: breastfeeding (1.099), screen time (1.465), WHR (1.131), groups (1.280); expected influence: breastfeeding (1.574), HOMA-IR (1.017), resistin (2.276), BMI (1.008) and WC (1.154).
Conclusion: The multicomponent intervention it demonstrated beneficial relationships, modifying and approximating the clusters of factors of body composition, physical fitness and insulin biomarkers.
Publisher
Research Square Platform LLC