Body Composition Predicts Growth in Infants and Toddlers With Chronic Liver Disease. Issue 6 (December 2017)

• Record Type: Journal Article
• Authors: Hurtado-López, Erika F.; Vásquez-Garibay, Edgar M.; Trujillo, Xóchitl; Larrosa-Haro, Alfredo
• Is Part Of: Journal of pediatric gastroenterology and nutrition. Volume 65:Issue 6(2017)
• Publication Date: 2017-12
• Subjects: absorptiometry -- anthropometry -- growth -- liver disease -- malnutrition; Children -- Nutrition -- Periodicals; Pediatric gastroenterology -- Periodicals; Infants -- Nutrition -- Periodicals; Nutrition disorders in children -- Periodicals; Child Nutrition -- Periodicals; Digestive System -- growth & development -- Periodicals; Gastrointestinal Diseases -- Periodicals; Infant Nutrition -- Periodicals; Nutrition Disorders -- Periodicals; Child; 618.923
• DOI: 10.1097/MPG.0000000000001746
• Languages: English
• ISSNs: 0277-2116

Abstract

Abstract : ABSTRACT: This cross-sectional study was conducted on 15 infants and toddlers with chronic liver disease to validate arm anthropometry as an accurate measure of body composition (BC) compared to dual-energy x-ray absorptiometry and to predict growth from BC. The z score means of the anthropometric indicators were <−2 standard deviation, except for body fat index and subscapular skinfold, which were between −2 and +2 standard deviation. Fat mass was predicted by arm adiposity indicators and fat-free mass by arm muscle area. Bone mineral content explained 87% of variation in length. Two multiple regression models predicted length: 1 with fat mass plus fat-free mass; and the second with fat mass and bone mineral content. These observations suggest that arm anthropometry is a useful tool to estimate BC and the nutritional status in infants and toddlers with chronic liver disease. Length and head circumference can be predicted by fat mass, fat-free mass, and bone mineral content.