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Journal of Nutrition and Metabolism
Volume 2017, Article ID 6368746, 8 pages
Research Article

Risk Factors of Underweight in Children Aged 6–59 Months in Ethiopia

1Wolaita Zonal Health Department, Sodo, Ethiopia
2College of Health Sciences and Medicine, Wolaita Sodo University, Sodo, Ethiopia

Correspondence should be addressed to Yohannes Mehretie Adinew; moc.liamg@9791sennahoy

Received 25 June 2017; Revised 7 October 2017; Accepted 16 October 2017; Published 13 November 2017

Academic Editor: C. S. Johnston

Copyright © 2017 Deneke Tosheno et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Background. Undernutrition in early childhood has irreversible and long-lasting implications. Hence, this study was aimed at assessing risk factors of child undernutrition. Methods. A community-based cross-sectional study was conducted on 642 households with mothers to children pairs aged 6–59 months selected by a multistage systematic random sampling method. Child anthropometric measurements on weight were recorded using standardized and calibrated weighing scales. Weight-for-age was compared to the 2007 WHO growth reference by WHO Anthro software. Data were entered using Epi-Info and analyzed using SPSS. Bivariate and multivariate logistic regression analyses were used to evaluate the association between underweight children and their predictors; both crude and adjusted odds ratios with 95% confidence interval were reported. Results. One-fourth (25%) of the children were underweight. Child age (AOR: 2.36), gender (AOR: 1.82), illness (AOR: 0.09), maternal decision making power (AOR: 0.07), maternal education (AOR: 0.19), employment/occupation (AOR: 5.29), and household income (AOR: 4.16) were found to be independent and significant predictors of underweight children. Conclusion. Significant proportion of the children were underweight. Maternal decision-making power persists as a strong predictor of children’s weight. Therefore, intervention programs focusing on improving mothers’ decision-making power on child nutrition would contribute to the efforts towards alleviating the problem.