Introduction: the assessment of body composition is relevant and useful for designing interventions for healthy lifestyles and nutritional strategies. Objective: our goal was to verify the relationships between adiposity indicators with fat mass (FM), and to validate equations that allow predicting FM in young people with Down syndrome (SD). Methods: a cross-sectional study was carried out in 48 young people with DS (24 men and 24 women). Weight, height, waist circumference (WC), and hip circumference (HC) were evaluated. Body mass index (BMI), body adiposity index (BAI), waist-to-hip index (WHI), and waist-to-height index (WHtR) were calculated. FM was evaluated by dual energy X-ray absorptiometry (DXA). Results: age in men was 19.3 ± 3.0 years, and in women it was 18.9 ± 1.9 years; weight was 73.6 ± 14.3 kg in men and 75.8 ± 20.3 kg in women, and height in men was 168.9 ± 6.5 cm, and in women it was 156.3 ± 6.2 cm. In males the correlations between FM (DXA) with BMI, WC, HC, WHtR, BAI and WHtR ranged from r = 0.01 to r = 0.89, and in females from r = 0.10 to r = 0.97. The highest correlations were observed with BMI and WC in both sexes (males r = 0.78 to 0.92, and females r = 0.83 to 0.97). Regression equations were generated to estimate FM in males (R2 = 84 %) and in females (R2 = 96 %). Percentiles were calculated for MG per DXA and for each equation. Conclusions: there were significant positive correlations between BMI and WC with FM. These indicators were decisive for developing equations that estimate FM in young people with DS. The results suggest its potential use and application to evaluate, classify and monitor body fat levels in clinical and epidemiological contexts.
|Translated title of the contribution||Estimation of fat mass by anthropometric indicators in young people with down syndrome|
|Number of pages||7|
|State||Published - 1 Sep 2021|
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