Gurka vs Slaughter equations to estimate the fat percentage in children with cerebral palsy from all subtypes and levels of the Gross Motor Function Classification System.

BACKGROUND: Body composition assessment in children with cerebral palsy (CP) is a challenge, specially the fat percentage. There are different methods that can be used to estimate the fat percentage in this population, such as anthropometric equations, but there is still a need to determine which is the best and most accurate. The purpose of the study was to determine the method that best estimates the fat percentage in children from all CP subtypes and levels of the Gross Motor Function Classification System (GMFCS). METHODS: Analytical cross-sectional study in which 108 children with CP diagnosed by a pediatric neurologist were included with any type of dysfunction and from all levels of the GFMCS. Slaughter equation, Gurka equation and Bioelectrical impedance analysis (BIA) as reference method, were used. Groups were stratified by sex, CP subtypes, GMFCS level and Tanner stage. Median differences, Kruskal-Wallis, Mann-Whitney U test, Spearman's correlation coefficients and simple regressions were used, also multivariate models were performed. RESULTS: The Slaughter equation differed from the other methods in the total population and when it was compared by sex, CP subtypes, gross motor function and Tanner stage. The Gurka equation showed significant differences by sex and gross motor function. Gurka equation correlated positively and significantly with BIA to estimate the fat percentage in all the CP subtypes and levels of the GMFCS. Tricipital skinfold (TSF), arm fat area (AFA) and weight for age index (W/A) showed the highest variability with respect to fat percentage. CONCLUSION: Gurka equation is more appropriate and accurate than Slaughter equation to estimate the fat percentage in children with CP from all subtypes and levels of the GMFCS.

Nutritional assessment with skinfold thickness and body- fat proportion in tribal and urban schoolchildren in Nashik district: A cross sectional study.

Context: Skinfold thickness (SFT) and body-fat (BF%) are infrequently used for childhood undernutrition. Aims: (a) Estimation of SFT at peripheral and truncal sites (b) Estimation of BF% from SFTs (c) Correlate SFT estimates with MUAC, BMI and Waist. (d) Compare rural/tribal SFTs with urban schoolchildren. Settings and Design: Ashram schools in rural/tribal settings and one urban school. Methods and Material: Using three stage sampling, four tribal schools were randomly selected and an urban school was added for comparison. A sub sample of 405 students in the age group of 7 to 15 years were included. Height, weight, MUAC and SFTs were measured BF% was estimated with Slaughter equation. Statistical Analysis: Using Excel, Epi Info 7.1 and R software, appropriate t tests were applied for comparisons, and correlation was estimated between the quantitative variables. Results: Average SFT among schoolchildren (405) was 6.64 mm. Girls (n = 215) had a BF% of 13.1%, while boys (n = 190) had BF at 11.5%. Average SFT for boys (6.69) and girls (6.48) had no statistically significant difference (t = 1.3, P = 0.1929). Boys had higher average peripheral SFT than truncal SFT while girls had higher truncal SFTs. In girls subscapular SFT was higher than triceps SFT. Median BF% in rural was lower than urban schoolchildren. BF% correlated strongly with BMI (0.56), Waist (0.63), Hip (0.61) and MUAC (0.59). Conclusion: SFT and BF % can be effectively used to detect undernutrition. Geographical and Gender differences are observed. SFT and BF% correlated well with BMI and MUAC.