Body volume, body fatness, and metabolic syndrome

Prediction of presence and severity of metabolic syndrome using regional body volumes measured by a multisensor white-light 3D scanner and validation using a mobile technology

Aims

To test whether an index based on the combination of demographics and body volumes obtained with a multisensor 3D body volume (3D-BV) scanner and biplane imaging using a mobile application (myBVI®) will reliably predict the severity and presence of metabolic syndrome (MS).

Methods and results

We enrolled 1280 consecutive subjects who completed study protocol measurements, including 3D-BV and myBVI®. Body volumes and demographics were screened using the least absolute shrinkage and selection operator to select features associated with an MS severity score and prevalence. We randomly selected 80% of the subjects to train the models, and performance was assessed in 20% of the remaining observations and externally validated on 133 volunteers who prospectively underwent myBVI® measurements. The mean ± SD age was 43.7 ± 12.2 years, 63.7% were women, body mass index (BMI) was 28.2 ± 6.2 kg/m2, and 30.2% had MS and an MS severity z-score of -0.2 ± 0.9. Features β coefficients equal to zero were removed from the model, and 14 were included in the final model and used to calculate the body volume index (BVI), demonstrating an area under the receiving operating curve (AUC) of 0.83 in the validation set. The myBVI® cohort had a mean age of 33 ± 10.3 years, 61% of whom were women, 10.5% MS, an average MS severity z-score of -0.8, and an AUC of 0.88.

Conclusion

The described BVI model was associated with an increased severity and prevalence of MS compared with BMI and waist-to-hip ratio. Validation of the BVI had excellent performance when using myBVI®. This model could serve as a powerful screening tool for identifying MS.

The effect of the COVID-19 pandemic lockdown on the distribution of fat tissue and skinfold thickness in adolescents from Kraków (Poland)

BACKGROUND

The COVID-19 pandemic has significantly changed the lifestyle and dietary habits of societies worldwide. The aim of the study was to assess changes in the distribution of fat tissue and skinfold thickness in adolescents (aged 11-15) from Kraków during the COVID-19 pandemic period.

METHODS

Two cross-sectional studies conducted in 2020 and 2022 (before and after the pandemic) involved 1662 adolescents from the Kraków population. Skinfold thickness measurements were taken. The trunk adiposity index, limbs-to-trunk fat ratio and limbs-to-total skinfold ratio were calculated. Statistical analysis employed a two-way ANOVA, Tukey's HSD test and the Kruskal-Wallis test, depending on the normality of the distribution.

RESULTS

Higher skinfold thicknesses were observed in the majority of age groups in both sexes from the 2022 cohort in comparison with the 2020 cohort. Additionally, higher values of the trunk adiposity index and the limbs-to-total skinfold ratio in most age groups were observed. However, an inverse trend was observed in the limbs-to-trunk fat radio.

CONCLUSIONS

The introduced restrictions such as lockdown, remote learning, reduced physical activity and changes in dietary habits could have influenced the distribution of fat tissue and skinfold thickness amongst adolescents from Kraków.