Low Skeletal Muscle Mass Identifies Very High Metabolic Risk in Slovak Children with Obesity: A Body Composition-Based Approach to Risk Stratification.
Bánovčinová A, Schusterová I, et al. • Nutrients • 2025
Low skeletal muscle mass in obese Slovak children represents a very-high-risk phenotype with 91.7% insulin resistance prevalence and 6-fold increased odds of severe metabolic dysfunction, supporting body composition-based risk stratification for personalized interventions.
Key Findings
Results
Obese children had significantly higher mean HOMA-IR compared to controls despite similar prevalence of HOMA-IR-defined insulin resistance using respective cut-offs.
Study included 54 obese children (BMI 29.5 ± 4.7 kg/m²) and 33 controls (BMI 20.6 ± 1.9 kg/m²) in a cross-sectional design.
44.4% of obese children demonstrated HOMA-IR-defined insulin resistance versus 45.5% of controls using their respective cut-offs (HOMA-IR >3.42 for obese, >1.68 for controls).
Mean HOMA-IR was significantly higher in obese children: 3.66 ± 2.09 vs. 2.53 ± 2.59 (p = 0.034).
Age-matched analysis (n = 28 pairs, mean age difference 0.22 years) confirmed these findings: HOMA-IR 3.46 ± 2.18 vs. 2.27 ± 2.22 (p = 0.0271).
Results
The TG/HDL-C ratio identified insulin resistance in a substantially higher proportion of obese children compared to controls.
TG/HDL-C ratio >0.99 mmol/L was used as the cut-off for insulin resistance.
38.9% of obese children met TG/HDL-C criteria for insulin resistance versus 12.1% of controls.
This marker was used alongside HOMA-IR as a complementary validated metabolic marker.
Results
Concordant elevation of both HOMA-IR and TG/HDL-C markers was significantly more common in obese children than controls.
22.2% of obese children showed concordant elevation of both metabolic markers versus 6.1% of controls (OR 4.43).
In the age-matched analysis, the difference was even more pronounced: 17.9% vs. 3.6%.
Concordant elevation of both markers was used as an indicator of severe metabolic dysfunction.
Results
A subgroup of obese children characterized by low skeletal muscle mass and high body fat demonstrated extremely high insulin resistance prevalence.
Low skeletal muscle mass was defined as <25th percentile for age and sex; high body fat was defined as >40%.
22.6% of obese children met criteria for this low muscle mass/high fat phenotype.
This subgroup demonstrated 91.7% insulin resistance prevalence versus 31.0% in obese children without low muscle mass (p < 0.001).
HOMA-IR was 1.9 points higher in the low muscle mass group (95% CI: 0.31–2.73).
Results
Children with low skeletal muscle mass had a 6-fold increased odds of concordant elevation of both metabolic markers compared to those without low muscle mass.
50% of obese children with low muscle mass showed concordant elevation of both HOMA-IR and TG/HDL-C markers.
Only 14.3% of obese children without low muscle mass showed concordant elevation of both markers.
The odds ratio for concordant elevation in the low muscle mass group was 6.0.
Results
Age-matched sensitivity analysis confirmed that metabolic differences between obese and control children were independent of age effects.
Age-matched analysis was performed on 28 pairs with a mean age difference of 0.22 years.
HOMA-IR remained significantly higher in the obese group in age-matched analysis: 3.46 ± 2.18 vs. 2.27 ± 2.22 (p = 0.0271).
The difference in concordant marker elevation was more pronounced in age-matched analysis (17.9% vs. 3.6%) than in the full cohort (22.2% vs. 6.1%).
Methods
The study employed multiple validated insulin resistance markers alongside bioelectrical impedance analysis for body composition assessment.
All participants underwent bioelectrical impedance analysis and fasting metabolic profiling.
Insulin resistance was assessed using both HOMA-IR and TG/HDL-C ratio as complementary markers.
Separate HOMA-IR cut-offs were applied for obese (>3.42) and control (>1.68) children.
The study design was cross-sectional with 54 obese children and 33 controls.
Bánovčinová A, Schusterová I, Tóth &, Porubän T, Pella D, Dvorožňáková M, et al.. (2025). Low Skeletal Muscle Mass Identifies Very High Metabolic Risk in Slovak Children with Obesity: A Body Composition-Based Approach to Risk Stratification.. Nutrients. https://doi.org/10.3390/nu17233715