Risk Factors of Underweight in Children Aged 6-59 Months in Ethiopia
Deneke Tosheno1, Yohannes Mehretie Adinew2, Thilagavathi Thangavel2
1Wolaita Zonal Health Department, Sodo, Ethiopia.
Insights
Child undernutrition affects development. Key risk factors include child age, gender, illness, maternal education, and household income, with maternal decision-making power being a strong predictor.
Area of Science:
- Public Health
- Pediatrics
- Nutrition Science
Background:
- Early childhood undernutrition has irreversible, long-lasting implications.
- Assessing risk factors for child undernutrition is crucial for timely interventions.
Purpose of the Study:
- To assess the risk factors associated with child undernutrition in children aged 6-59 months.
- To identify key determinants influencing underweight status in young children.
Main Methods:
- A community-based, cross-sectional study involving 642 mother-child pairs (children aged 6-59 months).
- Multistage systematic random sampling was employed for participant selection.
- Weight-for-age data were analyzed using WHO Anthro software and logistic regression models.
Main Results:
- One-fourth (25%) of children were found to be underweight.
- Significant predictors of underweight included child age, gender, illness, maternal education, maternal decision-making power, employment, and household income.
- Maternal decision-making power (AOR: 0.07) and education (AOR: 0.19) showed a protective association with underweight.
Conclusions:
- A significant proportion of children in the study population were underweight.
- Maternal decision-making power is a critical factor in preventing child underweight.
- Interventions aimed at enhancing maternal decision-making power are recommended to combat child undernutrition.
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.
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