Subtraction of subcutaneous fat to improve the prediction of visceral adiposity: exploring a new anthropometric track in overweight and obese youth
| Autor: | Georges Dooms, Saverio Stranges, J.-P. Van Nieuwenhuyse, Olivier Keunen, C De Beaufort, Marie-Lise Lair, Hanen Samouda, F. Dadoun, Sonia Leite, Michel Vaillant |
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| Přispěvatelé: | Clinical sciences |
| Rok vydání: | 2016 |
| Předmět: |
Male
Pediatric Obesity obesity Luxembourg Endocrinology Diabetes and Metabolism Adipose tissue Overweight Body Mass Index 0302 clinical medicine Image Processing Computer-Assisted Body Size 030212 general & internal medicine visceral adipose tissue Child Children Adiposity Sex Characteristics anthropometry Anthropometry Circumference Magnetic Resonance Imaging Thigh OBESITY Cardiology Female Waist Circumference medicine.symptom tissues Algorithms MRI medicine.medical_specialty Waist Adolescent Intra-Abdominal Fat 030209 endocrinology & metabolism Models Biological 03 medical and health sciences children Internal medicine Internal Medicine medicine Humans business.industry Reproducibility of Results nutritional and metabolic diseases medicine.disease Obesity Subcutaneous Fat Abdominal Pediatrics Perinatology and Child Health business human activities Body mass index |
| Zdroj: | Epidemiology and Biostatistics Publications |
| ISSN: | 1399-543X |
| Popis: | Background: The efficiency of traditional anthropometric measurements such as body mass index (BMI) or waist circumference (Waist C) used to replace biomedical imaging for assessing visceral adipose tissue (VAT) is still highly controversial in youth. Hypothesis and Objectives: We evaluated the most accurate model predicting VAT in overweight/obese youth, using various anthropometric measurements and their correlation with different body fat compartments, especially by testing, for the first time in youth, the hypothesis that subtracting the anthropometric measurement the most highly correlated with subcutaneous abdominal adipose tissue (SAAT) and less correlated possible with VAT from an anthropometric abdominal measurement highly correlated with visceral and total abdominal adipose tissue (TAAT), predicts VAT with higher accuracy. Subjects and Methods: VAT and SAAT data resulted from magnetic resonance imaging (MRI) analysis performed on 181 boys and girls (7-17 y) from Diabetes & Endocrinology Care Paediatrics Clinic in Luxembourg. Height, weight, abdominal diameters, waist, hip, and thigh circumferences were measured with a view to developing the anthropometric VAT predictive algorithms. Results: In girls, subtracting proximal thigh circumference (Proximal Thigh C), the most closely correlated anthropometric measurement with SAAT, from Waist C, the most closely correlated anthropometric measurement with VAT was instrumental in improving VAT prediction, in comparison with the most accurate single VAT anthropometric surrogate. VAT =1:111 × Waist C – 0:675 × Proximal Thigh C + 0:26 age – 46:761 (R =55:7%, P < 10 ) Residual analysis showed a negligible estimation error (5 cm ). In boys, Waist C was the best VAT predictor. Conclusions: Subtraction of abdominal subcutaneous fat is important to predict VAT in overweight/obese girls. Girls 2 −4 2 |
| Databáze: | OpenAIRE |
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