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What causes childhood stunting among children of San Vicente, Guatemala: Employing complimentary, system-analysis approaches. | LitMetric

AI Article Synopsis

  • - Guatemala has a high stunting rate of 48% among children under five, prompting a study using two analytical methods to explore factors influencing child growth and environmental enteric dysfunction (EED).
  • - The study analyzed data from two different child populations (over 2,400 children total) and emphasized the roles of nutrition, prenatal health, and living conditions, particularly water treatment and sanitation.
  • - Findings revealed significant correlations such as the influence of child-mother interaction on child height and the impact of water treatment on EED, highlighting the complexity of factors affecting child health in Guatemala.

Article Abstract

Guatemala has the sixth worst stunting rate with 48% of children under five years of age classified as stunted according to World Health Organization standards. This study utilizes two different yet complimentary system-analysis approaches to analyze correlations among environmental and demographic variables, environmental enteric dysfunction (EED), and child height-for-age (stunting metric) in Guatemala. Two descriptive models constructed around applicable environmental and demographic factors on child height-for-age and EED were analyzed using Network Analysis (NA) and Structural Equation Modeling (SEM). Data from two populations of children between the age of three months and five years were used. The first population (n = 2103) was drawn from the Food for Peace Baseline Survey conducted by the US Agency for International Development (USAID) in 2012, and the second population (n = 372) was drawn from an independent survey conducted by the San Vicente Health Center in 2016. The results from the NA of the height-for-age model confirmed pathogen exposure, nutrition, and prenatal health as important, and the results from the NA of the EED model confirmed water source, water treatment, and type of sanitation as important. The results from the SEM of the height-for-age model confirmed a statistically significant correlation among child height-for-age and child-mother interaction (-0.092, p = 0.076) while the SEM of the EED model confirmed the statistically significant correlation among EED and type of water treatment (-0.115, p = 0.013). Our approach supports important efforts to understand the complex set of factors associated with child stunting among communities sharing similarities with San Vicente.

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Source
http://dx.doi.org/10.1016/j.ijheh.2018.01.001DOI Listing

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