2020
DOI: 10.7189/jogh.10.020424
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A typology of dietary and anthropometric measures of nutritional need among children across districts and parliamentary constituencies in India, 2016

Abstract: Background Anthropometry is the most commonly used approach for assessing nutritional need among children. Anthropometry alone, however, cannot differentiate between the two immediate causes of undernutrition: inadequate diet vs disease. We present a typology of nutritional need by simultaneously considering dietary and anthropometric measures, dietary and anthropometric failures (DAF), and assess its distribution among children in India. Methods We used the 2015-16 Nat… Show more

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Cited by 14 publications
(22 citation statements)
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“…A negligible proportion (<1 %) of mothers responded 'don't know' against the food given to their children, and those responses are considered as their children were not given that food in the present study. Such an approach does not affect the overall analysis, as documented in earlier studies (7,18) .…”
Section: Minimum Dietary Diversity Failurementioning
confidence: 82%
See 1 more Smart Citation
“…A negligible proportion (<1 %) of mothers responded 'don't know' against the food given to their children, and those responses are considered as their children were not given that food in the present study. Such an approach does not affect the overall analysis, as documented in earlier studies (7,18) .…”
Section: Minimum Dietary Diversity Failurementioning
confidence: 82%
“…However, failing to receive the minimum required dietary diversity (less than five food groups) is counted as minimum dietary diversity failure (MDDF) for a child. The purpose of developing MDD indicators was three-fold: (1) compare feeding practices among regions over time; (2) identify vulnerable population groups and prioritise intervention strategies; (3) monitor progress and evaluate intervention impacts (6,7) .…”
Section: Introductionmentioning
confidence: 99%
“…Given that Beckerman-Hsu et al 13 found larger variations of the DAF categories at the district level in India, future research must also take a more granular look into county-and district-level DAF prevalence to properly choose and prioritize food policy interventions.…”
Section: Discussionmentioning
confidence: 99%
“…To harmonise the district information, the 34 districts newly formed between 2011 and 2016 were merged with their respective parent districts. 18 We computed CIs for the mean using SEs.…”
Section: Geospatial Analysesmentioning
confidence: 99%