1 Department of Nutrition and Dietetics, School of Health Sciences, International Medical University, Kuala Lumpur, Malaysia.
J Trop Pediatr. 2022 Jan 7;68(1). doi: 10.1093/tropej/fmac007.
Children with identified developmental disabilities (IDD) experience a higher risk of growth retardation. Anthropometric indicator is one common objective measurement used to determine malnutrition in those children. A comprehensive nutritional assessment tool should be introduced to offer a more robust approach in understanding their nutritional problems.
To determine the use of Subjective Global Nutrition Assessment (SGNA) as a nutrition assessment tool for children with IDD in comparison to the anthropometric indicators.
This cross-sectional study was conducted in local community settings. IDD included in this study were autism spectrum disorder (ASD), Down syndrome (DS) and cerebral palsy (CP). SGNA and anthropometry measurements including weight, height, mid-upper arm circumference and triceps skinfolds were performed on 93 children with IDD (40 ASD, 26 DS and 27 CP) aged 5-18 years. Cohen's Kappa, sensitivity, specificity and its 95% confidence interval were calculated between SGNA and anthropometric indicators for the agreement in determining malnutrition status of the children.
SGNA identified a lower prevalence of malnutrition in children with IDD in comparison to the use of anthropometric indicators. SGNA obtained a moderate-to-fair agreement (above 80% agreement, except height-for-age parameter) and sensitivity (25.71-59.09%) against the use of a single anthropometric indicator in identifying the malnutrition status of the children.
The use of SGNA as an adjunct to body mass index-for-age as an anthropometric measurement for diagnosing malnutrition in children and adolescents with IDD is recommended.
患有已识别的发育障碍(IDD)的儿童生长迟缓的风险较高。人体测量指标是用于确定这些儿童营养不良的常用客观测量方法之一。应该引入一种全面的营养评估工具,以提供更有力的方法来了解他们的营养问题。
与人体测量指标相比,确定主观整体营养评估(SGNA)作为 IDD 儿童营养评估工具的用途。
这是一项在当地社区环境中进行的横断面研究。本研究纳入的 IDD 包括自闭症谱系障碍(ASD)、唐氏综合征(DS)和脑瘫(CP)。对 93 名 5-18 岁的 IDD 儿童(40 名 ASD、26 名 DS 和 27 名 CP)进行 SGNA 和人体测量测量,包括体重、身高、中上臂围和三头肌皮褶厚度。计算 SGNA 与人体测量指标之间的 Cohen's Kappa、灵敏度、特异性及其 95%置信区间,以评估在确定儿童营养不良状况方面的一致性。
与使用人体测量指标相比,SGNA 确定 IDD 儿童营养不良的患病率较低。SGNA 与单一人体测量指标相比,具有中度至良好的一致性(除身高年龄参数外,一致性超过 80%)和灵敏度(25.71-59.09%),用于确定儿童的营养不良状况。
建议将 SGNA 与 BMI 年龄比作为人体测量指标联合使用,以诊断 IDD 儿童和青少年的营养不良。