Anthropometric data quality assessment in multisurvey studies of child growth.

ABSTRACT:

Background

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.

Objectives

We aimed to develop composite indices of anthropometric data quality for use in multisurvey analysis of child health and nutritional status.

Methods

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 bir

SUBMITTER: Perumal N 

PROVIDER: S-EPMC7487428 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature