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Magnitude of Stunting and Its Determinants Among Under-Five Children in Awi Zone, Northwest Ethiopia
Nigussie Adam Birhan1, Kefale Tilahun Getahun1, Zelalem Meraf Wolde1
1Department of Statistics, College of Natural and Computational Science, Injibara University, Injibara, Ethiopia, inu.edu.et.
Insights
Child stunting affects 24.9% of children under five in Ethiopia's Awi Zone. Factors like wealth, health insurance, and breastfeeding significantly influence stunting rates, requiring targeted interventions.
Area of Science:
- Public Health
- Pediatrics
- Global Health
Background:
- Child stunting is a critical global health issue affecting millions of young children worldwide.
- Ethiopia faces a significant burden of stunting, necessitating localized research to understand contributing factors.
Purpose of the Study:
- To determine the prevalence of stunting among children under five in Awi Zone, Northwest Ethiopia.
- To identify key factors associated with stunting in this specific population.
Main Methods:
- A community-based cross-sectional study involving 1388 children under five.
- Data collected via structured questionnaires and analyzed using multivariable logistic regression in STATA.
Main Results:
- Stunting prevalence in Awi Zone was 24.9%.
- Significant factors included child's age, wealth index, health insurance, birth weight, toilet facility access, sex, birth order, delivery type, breastfeeding practices, and antenatal care (ANC) visits.
Conclusions:
- Public health interventions should target impoverished households and those lacking health insurance.
- Enhancing institutional delivery and ANC visits are crucial for reducing child stunting.
Introduction:
Stunting is a major global health concern, with an estimated 154.8 million children under 5 years old. This study aimed to assess the prevalence and the contributing factors of stunting among children under 5 years old in Awi Zone, Northwest Ethiopia.
Methods:
A community-based cross-sectional study was conducted on 1388 participants selected using a multistage sampling method. Structured and pretested questionnaires were used to collect the data, and STATA software was used for analysis. Multivariable logistic regression analysis was performed to identify the factors associated with stunting.
Results:
The prevalence of stunting in Awi Zone was 24.9%. Rich wealth index (AOR: 0.46), health insurance (AOR: 0.45), child aged 24-59 months (AOR: 30.40), medium birth weight (AOR: 0.53), having toilet facility (AOR: 0.46), male child (AOR: 1.92), 2nd or 3rd birth order (AOR: 1.99), institutional delivery (AOR: 0.48), exclusive breastfeeding (AOR: 0.11), and ANC (AOR: 0.64) are significantly associated with stunting.
Conclusion:
To reduce child stunting, governmental and nongovernmental organizations should design and implement public health interventions targeting poor households and those without health insurance and should enhance institutional delivery and ANC visits.
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