Understanding the relationship between WASH and malnutrition: Analysis of anthropometric data of children attending WASH-supported schools in Ogun State, Nigeria.

IF 1.4 Q3 NUTRITION & DIETETICS
Nutrition and health Pub Date : 2025-03-01 Epub Date: 2023-04-24 DOI:10.1177/02601060231168007
Hammed Oladeji Mogaji, Oladunni Nimota Adekunle, Olaitan Olamide Omitola, Clement Ameh Yaro, Ayodele Samuel Babalola, Simon Nnayere Odoemene, Dorcas Olufunke Adeaga, Taiwo Oluwakemi Adubi, Uwem Friday Ekpo
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Abstract

BackgroundThere has been a growing interest in better understanding the association between water, sanitation, and hygiene (WASH) and malnutrition.AimWe analysed anthropometric data of children attending WASH intervention schools and those from non-intervention schools in Ogun State, Nigeria.MethodsA total of 353 children across six schools (three interventions and three non-interventions) participated in this study. WASH conditions were assessed using WHO standardized tools and anthropometric data of children were analysed in WHO AnthroPlus and R Software.ResultsThe prevalence of stunting was 26.2% in the intervention group, and 29.4% in the control group (p = 0.045). Underweight was lower in the intervention group (3.9% vs. 10.1%) (p = 0.45). However, wasting was higher in the intervention group (32.3% vs. 8.2%) (p = 0.001). Of the variables included in our multivariate model (age, gender, and school category, i.e. intervention/control and class grade), only age was selected, and negatively associated with underweight, stunting and wasting (p = 0.000).ConclusionRegardless of WASH programming status, nutritional outcomes were significantly influenced by age of the children. Children are more likely to have lower z-scores as they grow older.

了解讲卫生运动与营养不良之间的关系:对尼日利亚奥贡州讲卫生运动支持的学校中儿童的人体测量数据进行分析。
人们越来越有兴趣更好地了解水、环境卫生和个人卫生(WASH)与营养不良之间的关系。AimWe分析了尼日利亚奥贡州WASH干预学校和非干预学校的儿童的人体测量数据。方法6所学校(3所干预学校和3所非干预学校)共353名儿童参与了本研究。使用世卫组织标准化工具评估WASH条件,并在世卫组织AnthroPlus和R软件中分析儿童的人体测量数据。结果干预组发育迟缓发生率为26.2%,对照组为29.4% (p = 0.045)。干预组体重不足发生率较低(3.9% vs. 10.1%) (p = 0.45)。然而,干预组的消瘦率更高(32.3%比8.2%)(p = 0.001)。在我们的多元模型中包含的变量(年龄、性别和学校类别,即干预/对照和班级年级)中,只选择了年龄,并且年龄与体重不足、发育迟缓和消瘦呈负相关(p = 0.000)。结论无论WASH项目是否正常,儿童的营养状况均受其年龄的显著影响。随着年龄的增长,孩子们的z分数更有可能降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nutrition and health
Nutrition and health Medicine-Medicine (miscellaneous)
CiteScore
3.50
自引率
0.00%
发文量
160
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