Cargando…
Drinking water and sanitation conditions are associated with the risk of malaria among children under five years old in sub-Saharan Africa: A logistic regression model analysis of national survey data
Current efforts for the prevention of malaria have resulted in notable reductions in the global malaria burden; however, they are not enough. Good hygiene is universally considered one of the most efficacious and straightforward measures to prevent disease transmission. This work analyzed whether im...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6796660/ https://www.ncbi.nlm.nih.gov/pubmed/31641533 http://dx.doi.org/10.1016/j.jare.2019.09.001 |
_version_ | 1783459657159802880 |
---|---|
author | Yang, Dan He, Yang Wu, Bo Deng, Yan Li, Menglin Yang, Qian Huang, Liting Cao, Yaming Liu, Yang |
author_facet | Yang, Dan He, Yang Wu, Bo Deng, Yan Li, Menglin Yang, Qian Huang, Liting Cao, Yaming Liu, Yang |
author_sort | Yang, Dan |
collection | PubMed |
description | Current efforts for the prevention of malaria have resulted in notable reductions in the global malaria burden; however, they are not enough. Good hygiene is universally considered one of the most efficacious and straightforward measures to prevent disease transmission. This work analyzed whether improved drinking water and sanitation (WS) conditions were associated with a decreased risk of malaria infection. Data were acquired through surveys published between 2006 and 2018 from the Demographic and Health Program in sub-Saharan Africa (SSA). Multiple logistic regression was used for each national survey to identify the associations between WS conditions and malaria infection diagnosed by microscopy or a malaria rapid diagnostic test (RDT) among children (0–59 months), with adjustments for age, gender, indoor residual spraying (IRS), insecticide-treated net (ITN) use, house quality, and the mother’s highest educational level. Individual nationally representative survey odds ratios (ORs) were combined to obtain a summary OR using a random-effects meta-analysis. Among the 247,440 included children, 18.8% and 24.2% were positive for malaria infection based on microscopy and RDT results, respectively. Across all surveys, both unprotected water and no facility users were associated with increased malaria risks (unprotected water: aOR 1.17, 95% CI 1.07–1.27, P = 0.001; no facilities: aOR 1.35, 95% CI 1.24–1.47, P < 0.001; respectively), according to microscopy, whereas the odds of malaria infection were 48% and 49% less among piped water and flush-toilet users, respectively (piped water: aOR 0.52, 95% CI 0.45–0.59, P < 0.001; flush toilets: aOR 0.51, 95% CI 0.43–0.61, P < 0.001). The trends of individuals diagnosed by RDT were consistent with those of individuals diagnosed by microscopy. Risk associations were more pronounced among children with a “nonpoor” socioeconomic status who were unprotected water or no facility users. WS conditions are a vital risk factor for malarial infection among children (0–59 months) across SSA. Improved WS conditions should be considered a potential intervention for the prevention of malaria in the long term. |
format | Online Article Text |
id | pubmed-6796660 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-67966602019-10-22 Drinking water and sanitation conditions are associated with the risk of malaria among children under five years old in sub-Saharan Africa: A logistic regression model analysis of national survey data Yang, Dan He, Yang Wu, Bo Deng, Yan Li, Menglin Yang, Qian Huang, Liting Cao, Yaming Liu, Yang J Adv Res Original Article Current efforts for the prevention of malaria have resulted in notable reductions in the global malaria burden; however, they are not enough. Good hygiene is universally considered one of the most efficacious and straightforward measures to prevent disease transmission. This work analyzed whether improved drinking water and sanitation (WS) conditions were associated with a decreased risk of malaria infection. Data were acquired through surveys published between 2006 and 2018 from the Demographic and Health Program in sub-Saharan Africa (SSA). Multiple logistic regression was used for each national survey to identify the associations between WS conditions and malaria infection diagnosed by microscopy or a malaria rapid diagnostic test (RDT) among children (0–59 months), with adjustments for age, gender, indoor residual spraying (IRS), insecticide-treated net (ITN) use, house quality, and the mother’s highest educational level. Individual nationally representative survey odds ratios (ORs) were combined to obtain a summary OR using a random-effects meta-analysis. Among the 247,440 included children, 18.8% and 24.2% were positive for malaria infection based on microscopy and RDT results, respectively. Across all surveys, both unprotected water and no facility users were associated with increased malaria risks (unprotected water: aOR 1.17, 95% CI 1.07–1.27, P = 0.001; no facilities: aOR 1.35, 95% CI 1.24–1.47, P < 0.001; respectively), according to microscopy, whereas the odds of malaria infection were 48% and 49% less among piped water and flush-toilet users, respectively (piped water: aOR 0.52, 95% CI 0.45–0.59, P < 0.001; flush toilets: aOR 0.51, 95% CI 0.43–0.61, P < 0.001). The trends of individuals diagnosed by RDT were consistent with those of individuals diagnosed by microscopy. Risk associations were more pronounced among children with a “nonpoor” socioeconomic status who were unprotected water or no facility users. WS conditions are a vital risk factor for malarial infection among children (0–59 months) across SSA. Improved WS conditions should be considered a potential intervention for the prevention of malaria in the long term. Elsevier 2019-09-06 /pmc/articles/PMC6796660/ /pubmed/31641533 http://dx.doi.org/10.1016/j.jare.2019.09.001 Text en © 2019 The Authors. Published by Elsevier B.V. on behalf of Cairo University. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Yang, Dan He, Yang Wu, Bo Deng, Yan Li, Menglin Yang, Qian Huang, Liting Cao, Yaming Liu, Yang Drinking water and sanitation conditions are associated with the risk of malaria among children under five years old in sub-Saharan Africa: A logistic regression model analysis of national survey data |
title | Drinking water and sanitation conditions are associated with the risk of malaria among children under five years old in sub-Saharan Africa: A logistic regression model analysis of national survey data |
title_full | Drinking water and sanitation conditions are associated with the risk of malaria among children under five years old in sub-Saharan Africa: A logistic regression model analysis of national survey data |
title_fullStr | Drinking water and sanitation conditions are associated with the risk of malaria among children under five years old in sub-Saharan Africa: A logistic regression model analysis of national survey data |
title_full_unstemmed | Drinking water and sanitation conditions are associated with the risk of malaria among children under five years old in sub-Saharan Africa: A logistic regression model analysis of national survey data |
title_short | Drinking water and sanitation conditions are associated with the risk of malaria among children under five years old in sub-Saharan Africa: A logistic regression model analysis of national survey data |
title_sort | drinking water and sanitation conditions are associated with the risk of malaria among children under five years old in sub-saharan africa: a logistic regression model analysis of national survey data |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6796660/ https://www.ncbi.nlm.nih.gov/pubmed/31641533 http://dx.doi.org/10.1016/j.jare.2019.09.001 |
work_keys_str_mv | AT yangdan drinkingwaterandsanitationconditionsareassociatedwiththeriskofmalariaamongchildrenunderfiveyearsoldinsubsaharanafricaalogisticregressionmodelanalysisofnationalsurveydata AT heyang drinkingwaterandsanitationconditionsareassociatedwiththeriskofmalariaamongchildrenunderfiveyearsoldinsubsaharanafricaalogisticregressionmodelanalysisofnationalsurveydata AT wubo drinkingwaterandsanitationconditionsareassociatedwiththeriskofmalariaamongchildrenunderfiveyearsoldinsubsaharanafricaalogisticregressionmodelanalysisofnationalsurveydata AT dengyan drinkingwaterandsanitationconditionsareassociatedwiththeriskofmalariaamongchildrenunderfiveyearsoldinsubsaharanafricaalogisticregressionmodelanalysisofnationalsurveydata AT limenglin drinkingwaterandsanitationconditionsareassociatedwiththeriskofmalariaamongchildrenunderfiveyearsoldinsubsaharanafricaalogisticregressionmodelanalysisofnationalsurveydata AT yangqian drinkingwaterandsanitationconditionsareassociatedwiththeriskofmalariaamongchildrenunderfiveyearsoldinsubsaharanafricaalogisticregressionmodelanalysisofnationalsurveydata AT huangliting drinkingwaterandsanitationconditionsareassociatedwiththeriskofmalariaamongchildrenunderfiveyearsoldinsubsaharanafricaalogisticregressionmodelanalysisofnationalsurveydata AT caoyaming drinkingwaterandsanitationconditionsareassociatedwiththeriskofmalariaamongchildrenunderfiveyearsoldinsubsaharanafricaalogisticregressionmodelanalysisofnationalsurveydata AT liuyang drinkingwaterandsanitationconditionsareassociatedwiththeriskofmalariaamongchildrenunderfiveyearsoldinsubsaharanafricaalogisticregressionmodelanalysisofnationalsurveydata |