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Selective mortality and the anthropometric status of children in low- and middle-income countries
Kenneth Harttgen1, Stefan Lang2, Johannes Seiler2
1Department of Humanities, Social and Political Sciences, ETH Zurich, Clausiusstr. 37, 8092 Zurich, Switzerland.
Insights
Survivorship bias has a minimal impact on child anthropometric indicators. Adjusting for selective mortality slightly lowers average height-for-age z-scores but does not explain regional differences in child stunting or wasting.
Area of Science:
- Global Health
- Pediatrics
- Nutritional Epidemiology
Background:
- Child anthropometric status is linked to mortality rates.
- Significant regional disparities exist in child mortality and anthropometric indicators, particularly between sub-Saharan Africa and South Asia.
Purpose of the Study:
- To investigate the impact of survivorship bias on observed differences in child anthropometric indicators across countries.
- To quantify the influence of selective mortality on stunting, underweight, and wasting.
Main Methods:
- Utilized individual data from six waves of Demographic and Health Surveys (1991-2016) across 37 low- and middle-income countries.
- Employed matching and semi-parametric regression techniques to estimate anthropometric status of deceased children.
Main Results:
- Imputed anthropometric indicators for deceased children were, on average, 0.10–0.25 standard deviations lower than observed values.
- The contribution of deceased children's anthropometric status to overall indicators was marginal due to their small sample proportion (<10%).
Conclusions:
- Survivorship bias has a limited effect on explaining observed regional differences in child anthropometric indicators.
- Selective mortality does not significantly alter the understanding of global child malnutrition patterns.
Abstract:
Despite a close relationship between the childrens' anthropometric status and mortality rates, the highest mortality rates are concentrated in sub-Saharan Africa, while the lowest anthropometric indicators, in particular the height-for-age z-scores, are concentrated in South Asia. This discrepancy should, however, be expected to decrease when one accounts for the survivorship bias, i.e. selective mortality. We analyse whether the survivorship bias can explain these observed differences in three standard anthropometric indicators (stunting, underweight and wasting) by using individual data of children from six waves of Demographic and Health Surveys for a large cross-section of 37 low- and middle-income countries between 1991 and 2016. We use both a matching approach and semi-parametric regression to estimate the values for the anthropometric status of deceased children. The results are twofold: first, both methods reveal that the imputed values for the anthropometric indicators are, on average, between 0.10 and 0.25 standard deviations lower than the observed anthropometric indicators. Second, since the share of deceased children in our sample is below ten per cent, the contribution of the anthropometric status of deceased children to overall anthropometric indicators is small and therefore only influences it marginally.
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