{"title":"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。","authors":"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","doi":"10.1177/02601060231168007","DOIUrl":null,"url":null,"abstract":"<p><p>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 (<i>p</i> = 0.045). Underweight was lower in the intervention group (3.9% vs. 10.1%) (<i>p</i> = 0.45). However, wasting was higher in the intervention group (32.3% vs. 8.2%) (<i>p</i> = 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 (<i>p</i> = 0.000).ConclusionRegardless of WASH programming status, nutritional outcomes were significantly influenced by age of the children. Children are more likely to have lower <i>z</i>-scores as they grow older.</p>","PeriodicalId":19352,"journal":{"name":"Nutrition and health","volume":" ","pages":"255-262"},"PeriodicalIF":1.9000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding the relationship between WASH and malnutrition: Analysis of anthropometric data of children attending WASH-supported schools in Ogun State, Nigeria.\",\"authors\":\"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\",\"doi\":\"10.1177/02601060231168007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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 (<i>p</i> = 0.045). Underweight was lower in the intervention group (3.9% vs. 10.1%) (<i>p</i> = 0.45). However, wasting was higher in the intervention group (32.3% vs. 8.2%) (<i>p</i> = 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 (<i>p</i> = 0.000).ConclusionRegardless of WASH programming status, nutritional outcomes were significantly influenced by age of the children. Children are more likely to have lower <i>z</i>-scores as they grow older.</p>\",\"PeriodicalId\":19352,\"journal\":{\"name\":\"Nutrition and health\",\"volume\":\" \",\"pages\":\"255-262\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nutrition and health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/02601060231168007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/4/24 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition and health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/02601060231168007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/4/24 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
Understanding the relationship between WASH and malnutrition: Analysis of anthropometric data of children attending WASH-supported schools in Ogun State, Nigeria.
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.