evidence-based blog of Filippo Dibari

Posts Tagged ‘child malnutrition’

Association between economic growth and early childhood undernutrition: evidence from 121 Demographic and Health Surveys from 36 low-income and middle-income countries

In Under-nutrition on April 2, 2014 at 5:06 pm

by  Sebastian Vollmer, Kenneth Harttgen, Malavika A Subramanyam, Jocelyn Finlay, Stephan Klasen, S V Subramanian

The Lancet Global Health. Volume 2, Issue 4, April 2014, Pages e225–e234




Economic growth is widely regarded as a necessary, and often sufficient, condition for the improvement of population health. We aimed to assess whether macroeconomic growth was associated with reductions in early childhood undernutrition in low-income and middle-income countries.


We analysed data from 121 Demographic and Health Surveys from 36 countries done between Jan 1, 1990, and Dec 31, 2011. The sample consisted of nationally representative cross-sectional surveys of children aged 0–35 months, and the outcome variables were stunting, underweight, and wasting. The main independent variable was per-head gross domestic product (GDP) in constant prices and adjusted for purchasing power parity. We used logistic regression models to estimate the association between changes in per-head GDP and changes in child undernutrition outcomes. Models were adjusted for country fixed effects, survey-year fixed effects, clustering, and demographic and socioeconomic covariates for the child, mother, and household.


Sample sizes were 462 854 for stunting, 485 152 for underweight, and 459 538 for wasting. Overall, 35·6% (95% CI 35·4–35·9) of young children were stunted (ranging from 8·7% [7·6–9·7] in Jordan to 51·1% [49·1–53·1] in Niger), 22·7% (22·5–22·9) were underweight (ranging from 1·8% [1·3–2·3] in Jordan to 41·7% [41·1–42·3] in India), and 12·8% (12·6–12·9) were wasted (ranging from 1·2% [0·6–1·8] in Peru to 28·8% [27·5–30·0] in Burkina Faso). At the country level, no association was seen between average changes in the prevalence of child undernutrition outcomes and average growth of per-head GDP. In models adjusted only for country and survey-year fixed effects, a 5% increase in per-head GDP was associated with an odds ratio (OR) of 0·993 (95% CI 0·989–0·995) for stunting, 0·986 (0·982–0·990) for underweight, and 0·984 (0·981–0·986) for wasting. ORs after adjustment for the full set of covariates were 0·996 (0·993–1·000) for stunting, 0·989 (0·985–0·992) for underweight, and 0·983 (0·979–0·986) for wasting. These findings were consistent across various subsamples and for alternative variable specifications. Notably, no association was seen between per-head GDP and undernutrition in young children from the poorest household wealth quintile. ORs for the poorest wealth quintile were 0·997 (0·990–1·004) for stunting, 0·999 (0·991–1·008) for underweight, and 0·991 (0·978–1·004) for wasting.


A quantitatively very small to null association was seen between increases in per-head GDP and reductions in early childhood undernutrition, emphasising the need for direct health investments to improve the nutritional status of children in low-income and middle-income countries.

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World Bank book: What Can We Learn from Nutrition Impact Evaluations?

In Under-nutrition on September 22, 2013 at 8:28 pm

Author: World Bank. Year: 2010.

(from the World Bank web site)


High levels of child malnutrition in developing countries contribute to mortality and have long-term consequences for children’s cognitive development and earnings as adults. Recent impact evaluations show that many different interventions have had an impact on children’s anthropometric outcomes (height, weight, and birth weight), but there is no simple answer to the question “What works?” to address the problem. Similar interventions have widely different results in different settings, owing to differences in local context, the causes and severity of malnutrition, and the capacity for program implementation.

Impact evaluations of programs supported by the Bank, which are generally large-scale, complex interventions in low-capacity settings, show equally variable results. The findings confirm that it should not be assumed that an intervention found effective in a randomized medical setting will have the same effects when implemented under field conditions. There are many robust experimental and quasi-experimental methods for assessing impact under difficult circumstances often found in field settings.

The relevance and impact of nutrition impact evaluations could be enhanced by collecting data on service delivery, demand-side behavioral outcomes, and implementation processes to better understand the causal chain and what part of the chain is weak, in parallel with impact evaluations. It is also important to understand better the distribution of impacts, particularly among the poor, and to document better the costs and effectiveness of interventions.

High levels of child malnutrition in developing countries are contributing to mortality and present long-term consequences for the survivors. An estimated 178 million children under age 5 in developing countries are stunted (low height for age) and 55 million are wasted (low weight for height). Malnutrition makes children more susceptible to illness and strongly affects child mortality. Beyond the mortality risk in the short run, the developmental delays caused by undernutrition affect children’s cognitive outcomes and productive potential as adults. Micronutrient deficiencies—vitamin A, iron, zinc, iodine, for example—are also common and have significant consequences. Progress in reducing malnutrition has been slow: More than half of countries are not on track to achieve the Millennium Development Goal of halving the share of children who are malnou-rished (low weight for age) by 2015. The food price and financial crises are making achievement of this goal even more elusive. The World Bank has recently taken steps to ex-pand its support for nutrition in response to the underlying need and the increased urgency due to the crises.

WHAT DO WE KNOW ABOUT REDUCING MALNUTRITION? The increased interest and resources focused on the problem of high and potentially increasing rates of undernutrition raises the question, what do we know about the causes of malnutrition and the in-terventions most likely to reduce it? The medical literature points to the need to intervene during gestation and the first two years of life to prevent child malnutrition and its consequences. It suggests that investments in interventions during this window of opportunity among children under 2 are likely to have the greatest benefits. Recently published meta-analyses of the impact evaluation literature point to several interventions found effective for reducing undernutrition in specific settings. However, there are limitations to the generalizability of those reviews’ findings, particularly in the context of large-scale government programs most likely to be supported by the World Bank. The reviews tend to disproportionately draw on the findings of smaller, controlled experiments; there are few examples of evaluations of large-scale programs, over which there is less control in implementation. In reviewing a large number of studies, interventions, and outcomes, they tend to focus on average impacts. They generally do not explain the magnitude or variability of impacts across or within studies. Very few address the programmatic reasons why some interventions work or don’t work, nor do they assess the cost-effectiveness of interventions.

Objectives of the Review This paper reviews recent impact evaluations of interventions and programs to improve child anthropometric outcomes—height, weight, and birth weight—with an emphasis on both the findings and limitations of the literature and on understanding what might happen in a non-research setting. It further reviews in greater detail the experience and lessons from evaluations of the impact of World Bank-supported programs on nutrition outcomes. Specifically, the review addresses four questions. First, what can be said about the impact of different interventions on children’s anthropometric outcomes? Second, how do these findings vary across settings and within target groups, and what accounts for this variability? Third, what is the evidence of the cost-effectiveness of these interventions? Finally, what have been the lessons from implementing impact evaluations of Bank-supported programs with anthropometric impacts? While there are different dimensions of child nutrition that could be explored, the report focuses on child anthropometric outcomes — weight, height, and birth weight. These are the most common nutrition outcome indicators in the literature and the most frequently monitored by national nutrition programs supported by the World Bank. Low weight for age (underweight) is also the indicator for one of the MDGs. Methodology and Scope Forty-six nutrition impact evaluations published since 2000 were systematically reviewed. These evaluations assessed the impact of diverse interventions—community nutrition programs, conditional and unconditional cash transfers, early child development programs, food aid, integrated health and nutrition services, and deworming. All of the evaluations used research designs that compared the outcomes among those affected by the project to the counterfactual—that is, what would have happened to a similar group of people in the absence of the intervention. About half used randomized assignment to create treatment and control groups, while the remainder used matching and various econometric techniques to construct a counterfactual. Among the 46 evaluations, twelve assessed the impact of World Bank-supported programs on nutrition outcomes in eight countries. While the broader review relies on the analysis of the published impact evaluations as the main source of data, for these twelve evaluations project documents and research outputs were reviewed and World Bank staff, country officials and the evaluators and re-searchers who conducted the studies were interviewed.

Findings A wide range of interventions had a positive impact on indicators related to height, weight, wasting, and low birth weight. There were a total of 10 different outcome indicators for the four main anthropometric outcomes. A little more than half of the evaluations addressing a height-related indicator found program impacts on at least one group of children, and this was true for about the same share of interventions aimed at improving weight-related and wasting (low weight for height)-related indicators. About three-quarters of the 11 evaluations of interventions that aimed at improving birth weight indicators registered an impact in at least one specification, including five out of seven micronutrient interventions. There was no clear pattern of impacts across interventions—in every intervention group there were examples of programs that did and did not have an impact on a given indicator, and with varying magnitude. Evaluations of the nutritional impact of programs supported by the World Bank, which are generally large-scale, complex, and implemented in low-capacity settings, show equally variable results. Even controlling for the specific outcome indicator, studies often targeted children of different age groups that might be more or less susceptible to the interventions. It is thus difficult to point to interventions that are systematically more effective than others in reducing malnutrition across diverse set-tings and age groups. Differences in local context, variation in the age of the children studied, the length of exposure to the intervention, and differing methodologies of the studies account for much of the variability in results. Context includes factors like the level and local determinants of malnutrition, differences in the characteristics of beneficiaries (including their age), the availability of service infrastructure, and the implementation capacity of government. Outside of a research setting in the context of a large government program there are many things that can go wrong in either service delivery or the demand response that can compromise impact. Beyond this, there are social factors like the status of women or the presence of civil unrest that can affect outcomes. These findings underscore the conclusion that it should not be assumed that an intervention found effective in a randomized controlled trial in a re-search setting will have the same effects when implemented under field conditions in a different set-ting. They also point to the need to understand the prevailing underlying causes of malnutrition in a given setting and the age groups most likely to benefit in selecting an intervention. Further, impact evaluations need to supplement data measuring impact with data on service delivery and demand-side behavioral outcomes to demonstrate the plausibility of the findings, to understand what part of a program works, and to address weak links in the results chain to improve performance. There is scant evidence on the distribution of nutrition impacts — who is benefiting and who is not – or on the cost-effectiveness of interventions Just because malnutrition is more common among the poor does not mean that they will disproportionately benefit from an intervention, particularly if acting on new knowledge or different incentives relies on access to education or quality services. Only a third of the 46 evaluations looked at the distribution of impacts by gender, mother’s education, poverty status, or availability of complementary health services. Only nine assessed the impacts on nutritional outcomes of the poor compared with the non-poor. Among the evaluations that did examine variation in results, several found that the children of more educated mothers or in better-off communities are benefiting the most. Bank-supported cash transfers, community nutrition, and early child development programs in six of eight countries had some impact on child anthropometric outcomes. Of the 12 impact evaluations of Bank support, all but one were of large-scale government programs with multiple interventions and a long results chain. Three-quarters found a positive impact on anthropometric outcomes of children in at least one age group, although the magnitude was in some cases not large or applied to a narrow age group. Most of the impact evaluations involved assessment of completely new programs and involved World Bank researchers. Most used quasi-experimental evaluation designs and two-thirds assessed impact after at most 3 years of program implementation. Only half of the evaluations documented the distribution of impacts and only a third presented information on the costs of the intervention (falling short of cost-effectiveness analysis). In two of the countries (Colombia and the Philippines) the evaluations likely had an impact on government policy or programs.

Lessons A number of lessons for development practitioners and evaluators arose from the review of impact evaluations of World Bank nutrition support. For task managers: – Impact evaluations of interventions that are clearly beyond the means of the government to sustain are of limited relevance. The complexity, costs, and fiscal sustainability of the intervention should figure into the decision as to whether an impact evaluation is warranted. – Impact evaluations are often launched for the purpose of evaluating completely new pro-grams, but they may be equally or even more useful in improving the effectiveness of ongoing programs. – There are methods for obtaining reliable impact evaluation results when randomized assignment of interventions is not possible for political, ethical, or practical reasons. For evaluators: – In light of the challenges of evaluating large-scale programs with a long results chain, it is well worth the effort to assess the risks to disruption of the impact evaluation ahead of time and identify mitigation measures. – The design and analysis of nutrition impact evaluations need to take into account the likely sensitivity of children of different ages to the intervention. – For the purposes of correctly gauging impact, it is important to know exactly when delivery of an intervention took place in the field (as opposed to the official start of the program). – Evaluations need to be designed to provide evidence for timely decision-making, but with sufficient elapsed time for a plausible impact to have occurred.

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How ready-to-use therapeutic food shapes a new technological regime to treat child malnutrition

In Under-nutrition on August 1, 2012 at 6:23 pm

by José Guimón and Pablo Guimón

from Technological Forecasting and Social Change; Volume 79, Issue 7, September 2012, Pages 1319–1327


Since the turn of the 21st century ready-to-use therapeutic food (RUTF) has emerged as the preferred solution to treat acute malnutrition without complications. RUTF is a more appropriate technology than formerly prevalent powdered milk solutions because it enables outpatient care, simpler treatment protocols and production in the field. In this paper we analyze the forces driving the diffusion of RUTF as an innovation to treat child malnutrition and discuss the main features characterizing the new technological regime that results from its wide adoption. We combine the theoretical discussion and the review of secondary sources with insights from field research in Ethiopia, encompassing personal interviews with relevant parties and direct observation of how RUTF works in practice. This technology assessment exercise enables us to suggest some opportunities for policy intervention.

Another less recent version of the same paper is available here.

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