In the past 5 years, political discourse about the challenge of undernutrition has increased substantially at national and international levels and has led to stated commitments from many national governments, international organisations, and donors. The Scaling Up Nutrition movement has both driven, and been driven by, this developing momentum. Harmonisation has increased among stakeholders, with regard to their understanding of the main causes of malnutrition and to the various options for addressing it. The main challenges are to enhance and expand the quality and coverage of nutrition-specifi c interventions, and to maximise the nutrition sensitivity of more distal interventions, such as agriculture, social protection, and water and sanitation. But a crucial third level of action exists, which relates to the environments and processes that underpin and shape political and policy processes. We focus on this neglected level. We address several fundamental questions: how can enabling environments and processes be cultivated, sustained, and ultimately translated into results on the ground? How has high-level political momentum been generated? What needs to happen to turn this momentum into results? How can we ensure that high-quality, well-resourced interventions for nutrition are available to those who need them, and that agriculture, social protection, and water and sanitation systems and programmes are proactively reoriented to support nutrition goals? We use a six-cell framework to discuss the ways in which three domains (knowledge and evidence, politics and governance, and capacity and resources) are pivotal to create and sustain political momentum, and to translate momentum into results in high-burden countries.
FCND Discussion Papers contain preliminary material and research results, and are circulated prior to a full peer review in order to stimulate discussion and critical comment. It is expected that most Discussion Papers will eventually be published in some other form, and that their content may also be revised.
Data from the Demographic and Health Surveys (DHS) for 5 Latin American countries (7 data sets) were used to explore the feasibility of creating a composite feeding index and to examine the association between feeding practices and child height-for-age Z-scores (HAZ). The variables used for the index were as follows: current breast-feeding, use of complementary foods and liquids in the past 24 h, frequency of use over the past week and feeding frequency. The index was made age specific for 6- to 9-, 9- to 12- and 12- to 36-mo-old age groups, and age-specific feeding terciles were created. Bivariate analyses showed that feeding practices were strongly and significantly associated with child HAZ in all 7 data sets, especially after 12 mo of age. Differences in HAZ between child feeding terciles remained significant after controlling for potentially confounding influences, for all countries except Bolivia. Multiple regression analyses also revealed that better feeding practices were more important for children of lower, compared with higher socioeconomic status (in Colombia 1995 and Nicaragua 1998); among children of Ladino (Spanish speaking) compared with indigenous origin (in Guatemala 1995); and among children whose mothers had primary schooling compared with mothers with no schooling, or mothers with higher than primary school level (Peru 1996). The data available in DHS data sets can thus be used effectively to create a composite child feeding index and to identify vulnerable groups that could be targeted by nutrition education and behavior change interventions.
Undernutrition is the single largest contributor to the global burden of disease and can be addressed through a number of highly efficacious interventions. Undernutrition generally has not received commensurate attention in policy agendas at global and national levels, however, and implementing these efficacious interventions at a national scale has proven difficult. This paper reports on the findings from studies in Bangladesh, Bolivia, Guatemala, Peru and Vietnam which sought to identify the challenges in the policy process and ways to overcome them, notably with respect to commitment, agenda setting, policy formulation and implementation. Data were collected through participant observation, documents and interviews. Data collection, analysis and synthesis were guided by published conceptual frameworks for understanding malnutrition, commitment, agenda setting and implementation capacities. The experiences in these countries provide several insights for future efforts: (a) high-level political attention to nutrition can be generated in a number of ways, but the generation of political commitment and system commitment requires sustained efforts from policy entrepreneurs and champions; (b) mid-level actors from ministries and external partners had great difficulty translating political windows of opportunity for nutrition into concrete operational plans, due to capacity constraints, differing professional views of undernutrition and disagreements over interventions, ownership, roles and responsibilities; and (c) the pace and quality of implementation was severely constrained in most cases by weaknesses in human and organizational capacities from national to frontline levels. These findings deepen our understanding of the factors that can influence commitment, agenda setting, policy formulation and implementation. They also confirm and extend upon the growing recognition that the heavy investment to identify efficacious nutrition interventions is unlikely to reduce the burden of undernutrition unless or until these systemic capacity constraints are addressed, with an emphasis initially on strategic and management capacities.
Building upon the successes of Countdown to 2015, Countdown to 2030 aims to support the monitoring and measurement of women's, children's, and adolescents' health in the 81 countries that account for 95% of maternal and 90% of all child deaths worldwide. To achieve the Sustainable Development Goals by 2030, the rate of decline in prevalence of maternal and child mortality, stillbirths, and stunting among children younger than 5 years of age needs to accelerate considerably compared with progress since 2000. Such accelerations are only possible with a rapid scale-up of effective interventions to all population groups within countries (particularly in countries with the highest mortality and in those affected by conflict), supported by improvements in underlying socioeconomic conditions, including women's empowerment. Three main conclusions emerge from our analysis of intervention coverage, equity, and drivers of reproductive, maternal, newborn, and child health (RMNCH) in the 81 Countdown countries. First, even though strong progress was made in the coverage of many essential RMNCH interventions during the past decade, many countries are still a long way from universal coverage for most essential interventions. Furthermore, a growing body of evidence suggests that available services in many countries are of poor quality, limiting the potential effect on RMNCH outcomes. Second, within-country inequalities in intervention coverage are reducing in most countries (and are now almost non-existent in a few countries), but the pace is too slow. Third, health-sector (eg, weak country health systems) and non-health-sector drivers (eg, conflict settings) are major impediments to delivering high-quality services to all populations. Although more data for RMNCH interventions are available now, major data gaps still preclude the use of evidence to drive decision making and accountability. Countdown to 2030 is investing in improvements in measurement in several areas, such as quality of care and effective coverage, nutrition programmes, adolescent health, early childhood development, and evidence for conflict settings, and is prioritising its regional networks to enhance local analytic capacity and evidence for RMNCH.
As the World Health Organization (WHO) infant and young child feeding (IYCF) indicators are increasingly adopted, a comparison of country-specific analyses of the indicators' associations with child growth is needed to examine the consistency of these relationships across contexts and to assess the strengths and potential limitations of the indicators. This study aims to determine cross-country patterns of associations of each of these indicators with child stunting, wasting, height-for-age z-score (HAZ) and weight-for-height z-score (WHZ). Eight studies using recent Demographic and Health Surveys data from a total of nine countries in sub-Saharan Africa (nine), Asia (three) and the Caribbean (one) were identified. The WHO indicators showed mixed associations with child anthropometric indicators across countries. Breastfeeding indicators demonstrated negative associations with HAZ, while indicators of diet diversity and overall diet quality were positively associated with HAZ in Bangladesh, Ethiopia, India and Zambia (P < 0.05). These same complementary feeding indicators did not show consistent relationships with child stunting. Exclusive breastfeeding under 6 months of age was associated with greater WHZ in Bangladesh and Zambia (P < 0.05), although CF indicators did not show strong associations with WHZ or wasting. The lack of sensitivity and specificity of many of the IYCF indicators may contribute to the inconsistent associations observed. The WHO indicators are clearly valuable tools for broadly assessing the quality of child diets and for monitoring population trends in IYCF practices over time. However, additional measures of dietary quality and quantity may be necessary to understand how specific IYCF behaviours relate to child growth faltering.
Dietary diversity (DD) reflects micronutrient adequacy of the diet and is associated with better child growth. Emerging evidence suggests that maternal and child DD are associated. This could have measurement and programmatic implications. Data on mother-child (6-24 mo) dyads in Bangladesh, Vietnam, and Ethiopia were used to examine agreement and association between maternal and child DD and identify determinants of maternal and child DD. The DD scores were derived from a 24-h recall of intake of foods from 7 groups. Multivariable regression was used to examine for the association, adjusting for covariates at child, maternal, and household levels. There was mother/child agreement for staple foods across the 3 countries but disagreement for flesh foods, dairy, fruits, and vegetables. A strong positive association was seen between maternal and child DD; a difference of one food group in mother's consumption was associated with a difference of 0.29, 033, and 0.24 groups in child's consumption in Bangladesh, Vietnam, and Ethiopia, respectively. The odds of achieving minimum DD (≥4 groups) were higher among children whose mother consumed 4 groups compared with ≤3 food groups [Bangladesh: OR = 2.73 (95% CI: 1.76, 4.25); Vietnam: OR = 2.30 (95% CI: 1.45, 3.43); Ethiopia: OR = 5.11 (95% CI: 2.36, 11.04)]. Maternal education was associated with both maternal and child DD; food security and socioeconomic status were associated only with maternal DD. Given the disagreements in mother/child intake for nutrient-rich foods, both maternal and child DD should be measured in surveys. Behavior change communications should focus on promoting both mother and child DD and encouraging mothers to feed young children all family foods, not just a subset.
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