Prevalence of Stunting and Associated Factors among School Age Children in Primary Schools of Haik Town, South Wollo Zone, North- Eastern Ethiopia, 2017

Yonatan Menber, D. Tsegaye, A. Woday, H. Cherie, S. Kebede
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引用次数: 10

Abstract

Background: Under-nutrition is the major public health problem in the developing countries including Ethiopia. This study aimed to investigate the magnitude of stunting and associated factors among school age children.Methods: A school based cross-sectional study was conducted on 414 school age children in Haiyk town Primary schools, North eastern Ethiopia in May 2017. In this study, Stunting was defined as a child whose height for age Z-scores is below -2SD. Descriptive statistics, bivariate analysis to identify associated factors and multivariable logistic regression analysis were employed to control the effect of potential confounders. Variables with a pvalue< 0.05 in the multivariable model were identified as predictors of stunting.Results: The prevalence of stunting among school age children was 44 (11.3%) with Z-scores below-2SD and 83.7% of students were categorized under 16.5-18.5 body mass index. Multivariable logistic regression analysis showed that increased child level of education (AOR 4.028; 95% CI 1.72, 9.42), did not have additional food during study time (AOR 2.12; 95% CI 1.10, 4.12) and use of mixed food (AOR 0.20; 95% CI 0.06, 0.70) have been found significant associated with stunting.Conclusion: The study revealed that magnitude of stunting among school age children was suboptimal. Therefore, interventions could focus on educating parents on the importance of timely feeding, balanced diet; economize use of the available resources. Further analytic studies should be conducted to investigate the causes of stunting among school children in the study area.
2017年,埃塞俄比亚东北部南沃罗区海克镇小学适龄儿童发育迟缓患病率及相关因素
背景:营养不良是包括埃塞俄比亚在内的发展中国家的主要公共卫生问题。本研究旨在调查学龄期儿童发育迟缓的严重程度及其相关因素。方法:2017年5月,对埃塞俄比亚东北部海伊克镇小学的414名学龄儿童进行了基于学校的横断面研究。在本研究中,发育迟缓被定义为儿童的年龄身高z分数低于-2SD。采用描述性统计、双变量分析识别相关因素、多变量logistic回归分析控制潜在混杂因素的影响。在多变量模型中,p值< 0.05的变量被确定为发育迟缓的预测因子。结果:z分数低于2sd的学龄儿童发育迟缓发生率为44例(11.3%),83.7%的学生体重指数在16.5 ~ 18.5之间。多变量logistic回归分析显示,儿童受教育水平提高(AOR 4.028;95% CI 1.72, 9.42),在研究期间没有额外的食物(AOR 2.12;95% CI 1.10, 4.12)和使用混合食物(AOR 0.20;95% CI 0.06, 0.70)与发育迟缓显著相关。结论:该研究揭示了学龄儿童发育迟缓的程度是次优的。因此,干预措施可以侧重于教育父母及时喂养、均衡饮食的重要性;节约利用现有资源。研究区学龄期儿童发育迟缓的原因有待进一步的分析研究。
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