Anthropometric data quality assessment in multisurvey studies of child growth

The American Journal of Clinical Nutrition
Nandita PerumalDaniel E Roth

Abstract

Population-based surveys collect crucial data on anthropometric measures to track trends in stunting [height-for-age z score (HAZ) < -2SD] and wasting [weight-for-height z score (WHZ) < -2SD] prevalence among young children globally. However, the quality of the anthropometric data varies between surveys, which may affect population-based estimates of malnutrition. We aimed to develop composite indices of anthropometric data quality for use in multisurvey analysis of child health and nutritional status. We used anthropometric data for children 0-59 mo of age from all publicly available Demographic and Health Surveys (DHS) from 2000 onwards. We derived 6 indicators of anthropometric data quality at the survey level, including 1) date of birth completeness, 2) anthropometric measure completeness, 3) digit preference for height and age, 4) difference in mean HAZ by month of birth, 5) proportion of biologically implausible values, and 6) dispersion of HAZ and WHZ distribution. Principal component factor analysis was used to generate a composite index of anthropometric data quality for HAZ and WHZ separately. Surveys were ranked from the highest (best) to the lowest (worst) index values in anthropometric quality across countries and ...Continue Reading

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Citations

Jul 24, 2021·International Journal of Obesity : Journal of the International Association for the Study of Obesity·Luiza I C RicardoCesar Gomes Victora

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Methods Mentioned

BETA
PCA

Software Mentioned

Survey Inception Tool
WHO
Emergency Nutrition Assessment Monitoring and Assessment of an...
STATA

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