Dietary and non-dietary determinants of linear growth status of infants and young children in Ethiopia: Hierarchical regression analysis

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Abstract

Introduction: Childhood growth faltering remains a major public health problem in developing countries. We aimed to identify the distal, underlying, and proximal dietary and non-dietary factors associated with length-for-age (LFA) of infants and young children in Ethiopia. Methods: We used a nationally representative sample of 2,932 children aged 6-23 months from the Ethiopian demographic and health survey (EDHS) conducted in 2016. Hierarchical regression analysis was done to identify the factors associated with LFA. Findings: Pastoral residence (adjusted β (aβ) = -0.56, 95%CI = -0.82, -0.31, P<0.001) and poorest household wealth category (aβ = -0.57, 95%CI = -0.66, -0.48, P<0.001) were the basic factors negatively associated with LFA. Among underlying factors, maternal wasting (aβ = -0.43, 95%CI = -0.58, -0.28, P<0.001), and unimproved toilet facility (aβ = -0.48, 95%CI = -0.73, -0.23, P<0.001) were negatively associated with LFA. Proximal factors found positively associated with LFA were dietary diversity (aβ = 0.09, 95%CI = 0.043, 0.136, P<0.001), meal frequency (aβ = 0.04, 95%CI = 0.00, 0.08, P = 0.042), and vitamin A supplementation (aβ = 0.16, 95%CI = 0.03, 0.29, P = 0.020). Male sex (aβ = -0.26, 95%CI = -0.39, -0.14, P<0.001), age (aβ = -0.12, 95%CI = -0.13, -0.10, P = 0.001), small birth size (aβ = -0.45, 95%CI = -0.62, -0.29, P<0.001), and not currently breastfeeding (aβ = -0.29, 95%CI = -0.47, -0.11, P = 0.003) were negatively associated with LFA. Conclusion: LFA was associated with various influences at distal, underlying, and proximal levels. A multi-pronged approach, addressing the various factors comprehensively, would represent an important consideration to promote linear growth in early childhood in Ethiopia.

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Mohammed, S. H., Habtewold, T. D., Tegegne, B. S., Birhanu, M. M., Sissay, T. A., Larijani, B., & Esmaillzadeh, A. (2019). Dietary and non-dietary determinants of linear growth status of infants and young children in Ethiopia: Hierarchical regression analysis. PLoS ONE, 14(1). https://doi.org/10.1371/journal.pone.0209220

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