Body adiposity index assess body fat with high accuracy in nondialyzed chronic kidney disease patients.
ABSTRACT OBJECTIVE: High body fat (BF) is an alarming condition that also affects nondialyzed chronic kidney disease (CKD) patients. Distinct methods are used to evaluate BF; however, in CKD population it remains unclear which one is more reliable showing high accuracy. Dual-energy X-ray absorptiometry (DXA), used as reference method to estimate adiposity, is expensive and time consuming to be applied in clinical settings. Recently, a new body adiposity index (BAI), that estimates BF from easily accessible measures, was validated in the general population. The aim of this study was to evaluate which simple and practical method, routinely used to estimate BF, shows the highest accuracy compared with DXA, in nondialyzed CKD patients. DESIGN AND METHODS: In this cross-sectional study BF was estimated by DXA, bioelectrical impedance analysis (BIA), anthropometry (ANTHRO), and BAI. Serum leptin levels were determined. RESULTS: Studied patients (n = 134) were 55% males, 54% overweight/obese, and 64.9 ± 12.5 years old, with estimated glomerular filtration rate (eGFR) = 29.0 ± 12.7 ml/min. The correlation coefficient was higher between DXA vs. ANTHRO (r = 0.76) and BAI (r = 0.61) than with BIA (r = 0.57), after adjusting for gender, age, and eGFR (P < 0.0001). Therefore, the Lin's concordance correlation coefficient and Bland-Altman plots were performed to measure the accuracy (C_b) between DXA with both ANTHRO and BAI. A higher accuracy (C_b = 0.82) and lower mean difference (-3.4%) was observed for BAI than for ANTHRO (C_b = 0.61; -8.4%). Leptin levels correlated (P < 0.0001) with DXA (r = 0.56) and BAI (r = 0.59). CONCLUSIONS: These findings suggest that BAI estimates BF with high accuracy in nondialyzed CKD patients and may be helpful in the treatment of this population with increased BF.
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ABSTRACT: 1. Skinfold thickness, body circumferences and body density were measured in samples of 308 and ninety-five adult men ranging in age from 18 to 61 years. 2. Using the sample of 308 men, multiple regression equations were calculated to estimate body density using either the quadratic or log form of the sum of skinfolds, in combination with age, waist and forearm circumference. 3. The multiple correlations for the equations exceeded 0.90 with standard errors of approximately +/- 0.0073 g/ml. 4. The regression equations were cross validated on the second sample of ninety-five men. The correlations between predicted and laboratory-determined body density exceeded 0.90 with standard errors of approximately 0.0077 g/ml. 5. The regression equations were shown to be valid for adult men varying in age and fatness.British Journal Of Nutrition 12/1978; 40(3):497-504. · 3.30 Impact Factor
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ABSTRACT: Previous research in this laboratory, using relatively lean males, indicated that the skinfold caliper and ultrasound techniques gave similar predictions of body density. The present study compared caliper with ultrasound measurements in predicting body density of 44 white, obese, free-living adult volunteers of both sexes. Subcutaneous-fat thickness was measured at six body sites with a Lange caliper and an ADR 2130 ultrasound scanner. By hydrostatic weighing, mean (+/- SD) body density was 1.01 g/mL (+/- 0.02) and percentage body fat, 41.7% (+/- 7.8). The best predictors of body density were the thigh and biceps sites with ultrasound (r = 0.820) and the triceps site with the calipers (r = 0.633). Further, ultrasound proved to be superior to the caliper technique in measuring subcutaneous fat of obese persons.American Journal of Clinical Nutrition 05/1987; 45(4):717-24. · 6.50 Impact Factor
- Human Biology 07/1987; 59(3):523-55. · 1.52 Impact Factor