Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Malaria --- Diagnosis, Laboratory --- Microscopy

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Family planning --- Fertility, Human

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Health facilities --- Health facilities --- Health facilities --- Family planning --- Family planning --- Family planning --- Prenatal care --- Prenatal care --- Prenatal care --- Sick children --- Sick children --- Sick children

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Childbirth --- Birth control --- Marriage

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This methodological report examines the quality of anthropometric data from 52 DHS surveys conducted between 2005 and 2014. The analysis includes height, weight, and age measurements of children under five years of age as well as three nutritional status indices--height-for-age (HAZ), weight-for-age (WAZ), and weight-for-height (WHZ)--that follow WHO guidelines. The data quality indicators used to investigate the measurements include: standard deviation of z-scores; heaping of measures of height, weight, and age; and the percentage of extreme cases flagged during data processing. In addition, linear regressions of the z-scores were conducted to examine the amount of heterogeneity in z-scores that can be explained by covariates, including cluster-level variation. The findings identified surveys that have outperformed others in terms of anthropometric data quality along with surveys that have been deficient in data quality. Based on the results, recommendations were made that will improve the quality of anthropometric data in future surveys.

Anthropometry --- Data Accuracy --- Infant --- Child, Preschool --- Children --- Children --- Body size --- Body weight --- Proportion (Anthropometry)