Population Research Centre, Institute of Economic Growth, New Delhi, India.
ICSSR Doctoral Fellow, Institute of Economic Growth, New Delhi, India.
Matern Child Nutr. 2019 Oct;15(4):e12830. doi: 10.1111/mcn.12830. Epub 2019 May 23.
Inadequate dietary intake is a critical underlying determinant of child undernutrition. This study examined the association between anthropometric-based and food-based nutritional failure among children in India. We used the 2015-2016 National Nutrition Monitoring Bureau data where anthropometric outcomes and food intake were both measured for each child. We followed the World Health Organization child growth reference standards to define anthropometric failures (i.e., height-for-age z score < -2 SD for stunting, weight-for-age z score < -2 SD for underweight, and weight-for-height z score < -2 SD for wasting), and the Indian Council of Medical Research recommended dietary allowance (RDA) to define adequacy in intake of calorie, protein, and fat. We used descriptive and regression-based assessments to test the association between the two indicators of nutritional failure and also computed the area under the receiver operating characteristic curve (AUC). The prevalence of stunting, underweight, and wasting was 28.6%, 24.3%, and 12.8%, respectively, whereas 78.2%, 27.4%, and 50.8% of the children had below RDA norms consumption of calorie, protein, and fat, respectively. We found weak-to-null correlation between anthropometric failures and food failures (Pearson correlation ranging from -0.013 to 0.147) and poor discriminatory accuracy (AUC < 0.62), suggesting that in the Indian context, anthropometric failures are not directly associated with food intake. This finding highlights the need for improving adequate intake of macronutrients and draws attention toward adopting a multifactorial approach to improve child nutrition in India. Poor food intake itself merits exclusive policy focus as it is an important nutrition and health concern.
膳食摄入不足是导致儿童营养不良的关键潜在因素。本研究调查了印度儿童中基于人体测量和基于食物的营养失败之间的关联。我们使用了 2015-2016 年国家营养监测局的数据,这些数据为每个儿童同时测量了人体测量结果和食物摄入量。我们遵循世界卫生组织儿童生长参考标准来定义人体测量学失败(即身高年龄 z 评分<-2SD 为发育迟缓,体重年龄 z 评分<-2SD 为体重不足,体重身高 z 评分<-2SD 为消瘦),并使用印度医学研究理事会推荐的膳食允许量(RDA)来定义热量、蛋白质和脂肪摄入的充足性。我们使用描述性和基于回归的评估来测试这两个营养失败指标之间的关联,同时计算了接收者操作特征曲线(ROC)下的面积(AUC)。发育迟缓、体重不足和消瘦的患病率分别为 28.6%、24.3%和 12.8%,而 78.2%、27.4%和 50.8%的儿童热量、蛋白质和脂肪的 RDA 摄入量分别低于推荐量。我们发现人体测量学失败和食物失败之间存在弱到无相关性(皮尔逊相关系数范围为-0.013 至 0.147),并且判别准确性较差(AUC<0.62),这表明在印度背景下,人体测量学失败与食物摄入没有直接关联。这一发现强调了需要改善宏量营养素的充足摄入,并提请注意采取多因素方法来改善印度儿童营养。不良的食物摄入本身就值得政策的重点关注,因为这是一个重要的营养和健康问题。