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Updated: Sep 22, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Data on birth weight in developing countries: can surveys help?
J T Boerma1, K I Weinstein, S O Rutstein
1TANESA Project, Mwanza, United Republic of Tanzania.
Insights
Demographic and Health Surveys provide valuable data for estimating national low birth weight incidence. However, recalled birth weight data has significant misclassification, limiting its use for individual assessments.
Area of Science:
- Global Health
- Demography
- Epidemiology
Background:
- Health facility statistics are the primary source for birth weight data in developing nations, but often lack comprehensive national estimates.
- Data from health facilities are prone to selection bias, representing only a fraction of the neonate population.
Purpose of the Study:
- To evaluate the utility of Demographic and Health Surveys (DHS) data for estimating national mean birth weight and low birth weight incidence.
- To assess the accuracy of recalled birth weight and relative size at birth from DHS for public health assessments.
Main Methods:
- Analysis of data from 15 national Demographic and Health Surveys conducted since 1990.
- Examination of recalled birth weight and relative size at birth information collected in these cross-sectional surveys.
Main Results:
- Cross-sectional surveys, like the DHS, can serve as a valuable resource for national birth weight estimations.
- The misclassification rate in recalled birth weight data is too high for reliable individual-level assessment of low birth weight.
Conclusions:
- Demographic and Health Surveys offer a viable method for estimating national birth weight trends and low birth weight prevalence.
- Relative size at birth data from surveys is not sufficiently accurate for identifying individual cases of low birth weight.
Abstract:
The main source of data on birth weight in developing countries is statistics from health facilities, although most developing countries do not produce annual estimates of the incidence of low birth weight from these data. Such estimates would be subject to selection bias as the data are usually limited to babies born within health facilities, and therefore are representative of a subgroup that is markedly different from the overall population of neonates. Since 1990 the Demographic and Health Surveys programme has included questions on recalled birth weight and relative size at birth in 15 national surveys. In this article, we show that these cross-sectional surveys can provide a useful data source for making national estimates of mean birth weight and the incidence of low birth weight. The extent of misclassification of birth weight is, however, too large to use the data on relative size at birth as an indicator of low birth weight at the individual level.
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