Drivers of Under-Five Stunting Trend in 14 Low- and Middle-Income Countries since the Turn of the Millennium: A Multilevel Pooled Analysis of 50 Demographic and Health Surveys

• Published in: Nutrients 2019-10, Vol.11 (10), p.2485
• Main Authors: Argaw, Alemayehu, Hanley-Cook, Giles, De Cock, Nathalie, Kolsteren, Patrick, Huybregts, Lieven, Lachat, Carl
• Format: Article
• Language: English
• Subjects: Age; Age Factors; Breast feeding; Breastfeeding & lactation; Child Development; Child Nutrition Disorders - diagnosis; Child Nutrition Disorders - economics; Child Nutrition Disorders - epidemiology; Child Nutrition Disorders - physiopathology; Child Nutritional Physiological Phenomena; Child, Preschool; Children & youth; children under-five years; Clustering; Cross-Sectional Studies; Decision making; demographic and health survey (dhs); Demographics; determinants; Developing Countries - economics; Feeding; Female; Global Health - economics; Growth Disorders - diagnosis; Growth Disorders - economics; Growth Disorders - epidemiology; Growth Disorders - physiopathology; Health Surveys; Humans; Indicators; Infant; Infant Nutrition Disorders - diagnosis; Infant Nutrition Disorders - economics; Infant Nutrition Disorders - epidemiology; Infant Nutrition Disorders - physiopathology; Infant Nutritional Physiological Phenomena; Infant, Newborn; Investment; Long term effects; Low income groups; low- and middle-income countries; Male; Malnutrition - diagnosis; Malnutrition - economics; Malnutrition - epidemiology; Malnutrition - physiopathology; Nutrition; Nutritional Status; Polls & surveys; Poverty; Prevalence; Risk Assessment; Risk Factors; Social Determinants of Health; stunting trend; Time Factors; Trends; Variables
• ISSN: 2072-6643; 2072-6643
• DOI: 10.3390/nu11102485

Understanding the drivers contributing to the decreasing trend in stunting is paramount to meeting the World Health Assembly's global target of 40% stunting reduction by 2025. We pooled data from 50 Demographic and Health Surveys since 2000 in 14 countries to examine the relationships between the stunting trend and potential factors at distal, intermediate, and proximal levels. A multilevel pooled trend analysis was used to estimate the association between the change in potential drivers at a country level and stunting probability for an individual child while adjusting for time trends and child-level covariates. A four-level mixed-effects linear probability regression model was fitted, accounting for the clustering of data by sampling clusters, survey-rounds, and countries. Stunting followed a decreasing trend in all countries at an average annual rate of 1.04 percentage points. Among the distal factors assessed, a decrease in the Gini coefficient, an improvement in women's decision-making, and an increase in urbanization were significantly associated with a lower probability of stunting within a country. Improvements in households' access to improved sanitation facilities and drinking water sources, and children's access to basic vaccinations were the important intermediate service-related drivers, whereas improvements in early initiation of breastfeeding and a decrease in the prevalence of low birthweight were the important proximal drivers. The results reinforce the need for a combination of nutrition-sensitive and -specific interventions to tackle the problem of stunting. The identified drivers help to guide global efforts to further accelerate stunting reduction and monitor progress against chronic childhood undernutrition.