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Association of access to water, sanitation and handwashing facilities with undernutrition of children below 5 years of age in Bangladesh: evidence from two population-based, nationally representative surveys

OBJECTIVE: To examine the association between household access to water, sanitation and handwashing (WaSH) facilities and child undernutrition in Bangladesh. DESIGN, SETTING AND PARTICIPANTS: Cross-sectional study of children less than 5 years using data collected from the 2019 Multiple Indicator Cl...

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Detalles Bibliográficos
Autores principales: Hasan, Md Mehedi, Asif, Chowdhury Abdullah Al, Barua, Alina, Banerjee, Archis, Kalam, Md Abul, Kader, Abdul, Wahed, Tasnuva, Noman, Mohammad Wali, Talukder, Aminuzzaman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255141/
https://www.ncbi.nlm.nih.gov/pubmed/37263705
http://dx.doi.org/10.1136/bmjopen-2022-065330
Descripción
Sumario:OBJECTIVE: To examine the association between household access to water, sanitation and handwashing (WaSH) facilities and child undernutrition in Bangladesh. DESIGN, SETTING AND PARTICIPANTS: Cross-sectional study of children less than 5 years using data collected from the 2019 Multiple Indicator Cluster Survey (MICS) and the 2017–2018 Bangladesh Demographic and Health Survey (BDHS). OUTCOME MEASURES: Stunting, wasting and underweight, defined as a Z-score <−2 SD for height-for-age, weight-for-height and weight-for-age, respectively. We applied hierarchical multiple binary logistic regression models. RESULTS: Among 30 514 children 0–59 months, there was a high prevalence of child undernutrition (MICS: 28.0% stunted, 9.8% wasted, 22.6% underweight; BDHS: 30.8% stunted, 8.4% wasted, 21.7% underweight). Most children came from households lacking basic sanitation (MICS: 39.1%, BDHS: 55.3%) or handwashing facilities (MICS: 43.8%, BDHS: 62.6%). Children from households without access to WaSH facilities experienced the highest rates of undernutrition. Exposure-specific adjusted logistic regression models showed that a lack of access to improved water sources was associated with greater odds of wasting (MICS: adjusted OR (AOR) 1.36, 95% CI 1.00 to 1.85, p<0.05); basic sanitation facility with higher rates of stunting (MICS: 1.13, 1.04 to 1.23, p<0.01) and underweight (BDHS: 1.18, 1.02 to 1.37, p<0.05); and a lack of handwashing facilities with stunting (BDHS: 1.27, 1.10 to 1.48, p<0.01) and underweight (MICS: 1.10, 1.01 to 1.19, p<0.05). In fully adjusted models, no basic sanitation facility was associated with higher odds of stunting (MICS: AOR 1.12, 1.03 to 1.22, p<0.01) and a lack of handwashing facilities with higher odds of underweight (BDHS: AOR 1.30, 1.10 to 1.54, p<0.01;MICS: AOR 1.09, 1.01 to 1.19, p<0.05). CONCLUSION: These findings demonstrate a significant association between poor household WaSH facilities and high prevalence of child undernutrition. Improving WaSH may help reduce child undernutrition in Bangladesh.