Anthropometric data quality assessment in multisurvey studies of child growth.

CONCLUSIONS: A composite score of anthropometric data quality using a parsimonious set of individual indicators can effectively discriminate among surveys with excellent and poor data quality. This score can be used to account for variations in anthropometric data quality in multisurvey epidemiologic analyses of child health.
PMID: 32672330 [PubMed - as supplied by publisher]

Source: The American Journal of Clinical Nutrition - July 15, 2020 Category: Nutrition Authors: Perumal N, Namaste S, Qamar H, Aimone A, Bassani DG, Roth DE Tags: Am J Clin Nutr Source Type: research