Answers are grounded in this paper and cite their sources.
Explores links between body composition and cardiometabolic parameters in adolescents with obesity, suggesting new intervention strategies.
Purpose The aetiology of metabolic syndrome (MetS) in young people involves a complex interplay between lifestyle, body composition, and cardiometabolic risk factors. The present study aimed to explore the relationships between anthropometric characteristics, body composition, cardiometabolic parameters and resting substrate metabolism in the development of MetS in severely adolescents with obesity. Methods Seven hundred and thirty adolescents with obesity (mean age: 14.6 ± 2.1 years, BMI > 97th percentile for gender and age) were included in this study. Body composition analysis was obtained using tetrapolar bioelectrical impedance analysis (BIA), while resting substrate oxidation was measured using an indirect calorimeter. Results MetS was present in 27% of the participants. Compared to those without MetS, adolescents with MetS had significantly higher body mass (+15 kg, p < 0.001), fat-free mass (FFM; +6 kg, p < 0.001), fat mass (+9 kg, p < 0.001), carbohydrate oxidation at rest (CHO; +0.02 g·min −1 , p = 0.015), and Homeostasis Model Assessment for Insulin Resistance (HOMA-IR; +0.8, p < 0.001). In adjusted-univariate logistic regression, HOMA-IR (OR: 1.22; 95% CI: 1.12–1.34, p < 0.001) was associated with higher odds of MetS. Conversely, higher FFM percentage (OR: 0.96; 95% CI: 0.93–0.99, p = 0.003) and HDL cholesterol levels (OR: 0.83; 95% CI: 0.81–0.86, p = 0.003) were protective. Conclusion In adolescents with severe obesity, resting carbohydrate oxidation and HOMA-IR emerged as independent risk factors for MetS, offering additional insight beyond conventional anthropometric and lipid indicators. Conversely, higher FFM and HDL cholesterol levels appeared to exert a protective effect. These findings underscore the importance of incorporating metabolic and body composition variables into MetS risk models and support the promotion of targeted interventions, such as endurance and resistance training, to address modifiable risk factors and reduce the likelihood of developing MetS.
No takes yet. Share an insight, caveat, or question.
D’Alleva et al. (2025) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: