Combining insights from quantile and ordinal regression: child malnutrition in Guatemala

The trend in mean height of Guatemalan women born between 1945 and 1995: a century behind

BACKGROUND

Adult height is a cumulative indicator of living standards with mean height increasing with a greater socio-economic level. Guatemalan adult women have the lowest mean height worldwide. The country's population is ethnically divided between indigenous and non-indigenous groups. This study aims to identify trends in the mean height for indigenous and non-indigenous adult women born between 1945 and 1995 in Guatemala and the association with individual, household and environmental factors.

METHODS

We used pooled data of adult women from five Demographic and Health Surveys. Mixed-effects multilevel linear regression models estimate the mean height associated with the explanatory variables. Mean height was modelled as a function of birth year cohort, wealth, education, geo-administrative regions and elevation.

RESULTS

The mean height increased 0.021 cm per year on average. The annual increase for indigenous women was 0.027 cm, while 0.017 cm for non-indigenous women. Height is associated with household wealth and women's education level. We found an interaction effect between ethnicity and household wealth, with indigenous women at the lowest quintile 0.867 cm shorter than the corresponding non-indigenous group. Height is associated with the geo-administrative region, those women in western regions being shorter than those in the metropolis. Mean height is reduced 0.980 cm for each 1000 m increase in elevation.

CONCLUSIONS

Guatemalan women have grown only 1 cm over half century, a slow improvement between 1945 and 1995, a period characterised by political instability and civil war. There are persistent inequalities in women's height associated with socio-economic status, education and attributes of the geographical context. These aspects need to be considered when implementing strategies to encourage growth. Further research is required to understand the evolution of adult height and the standard of living in post-war Guatemala.

CHILD NUTRITIONAL STATUS IN EGYPT: A COMPREHENSIVE ANALYSIS OF SOCIOECONOMIC DETERMINANTS USING A QUANTILE REGRESSION APPROACH

This study examined the underlying demographic and socioeconomic determinants of child nutritional status in Egypt using data from the most recent round of the Demographic and Health Survey. The height-for-age Z-score (HAZ) was used as a measure of child growth. A quantile regression approach was used to allow for a heterogeneous effect of each determinant along different percentiles of the conditional distribution of the HAZ. A nationally representative sample of 13,682 children aged 0-4 years was drawn from the 2014 Egypt DHS. The multivariate analyses included a set of HAZ determinants commonly used in the literature. The conditional and unconditional analyses revealed a socioeconomic gradient in child nutritional status, in which children of low income/education households have a worse HAZ than those from high income/education households. The results also showed significant disparities in child nutritional status by demographic and social characteristics. The quantile regression results showed that the association between the demographic and socioeconomic factors and HAZ differed along the conditional HAZ distribution. Intervention measures need to consider the heterogeneous effect of the determinants of child nutritional status along the different percentiles of the HAZ distribution. There is no one-size-fits-all policy to combat child malnutrition; a multifaceted approach and targeted policy interventions are required to address this problem effectively.

Effects of food price shocks on child malnutrition: The Mozambican experience 2008/2009

A propitiously timed household survey carried out in Mozambique over the period 2008/2009 permits us to study the relationship between shifts in food prices and child nutrition status in a low income setting. We focus on weight-for-height and weight-for-age in different survey quarters characterized by very different food price inflation rates. Using propensity score matching techniques, we find that these nutrition measures, which are sensitive in the short run, improve significantly in the fourth quarter of the survey, when the inflation rate for basic food products is low, compared to the first semester or three quarters, when food price inflation was generally high. The prevalence of underweight, in particular, falls by about 40 percent. We conclude that the best available evidence points to food penury, driven by the food and fuel price crisis combined with a short agricultural production year, as substantially increasing malnutrition amongst under-five children in Mozambique.

Height and calories in early childhood

This paper estimates a height production function using data from a randomized nutrition intervention conducted in rural Guatemala from 1969 to 1977. Using the experimental intervention as an instrument, the IV estimates of the effect of calories on height are an order of magnitude larger than the OLS estimates. Information from a unique measurement error process in the calorie data, counterfactuals results from the estimated model and external evidence from migration studies suggest that IV is not identifying a policy relevant average marginal impact of calories on height. The preferred, attenuation bias corrected OLS estimates from the height production function suggest that, averaging over ages, a 100 calorie increase in average daily calorie intake over the course of a year would increase height by 0.06 cm. Counterfactuals from the model imply that calories gaps in early childhood can explain at most 16% of the height gap between Guatemalan children and the US born children of Guatemalan immigrants.