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Spatial patterns of fetal loss and infant death in an arsenic-affected area in Bangladesh

BACKGROUND: Arsenic exposure in pregnancy is associated with adverse pregnancy outcome and infant mortality. Knowledge of the spatial characteristics of the outcomes and their possible link to arsenic exposure are important for planning effective mitigation activities. The aim of this study was to i...

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Autores principales: Sohel, Nazmul, Vahter, Marie, Ali, Mohammad, Rahman, Mahfuzar, Rahman, Anisur, Streatfield, Peter Kim, Kanaroglou, Pavlos S, Persson, Lars Åke
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2987785/
https://www.ncbi.nlm.nih.gov/pubmed/20977746
http://dx.doi.org/10.1186/1476-072X-9-53
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author Sohel, Nazmul
Vahter, Marie
Ali, Mohammad
Rahman, Mahfuzar
Rahman, Anisur
Streatfield, Peter Kim
Kanaroglou, Pavlos S
Persson, Lars Åke
author_facet Sohel, Nazmul
Vahter, Marie
Ali, Mohammad
Rahman, Mahfuzar
Rahman, Anisur
Streatfield, Peter Kim
Kanaroglou, Pavlos S
Persson, Lars Åke
author_sort Sohel, Nazmul
collection PubMed
description BACKGROUND: Arsenic exposure in pregnancy is associated with adverse pregnancy outcome and infant mortality. Knowledge of the spatial characteristics of the outcomes and their possible link to arsenic exposure are important for planning effective mitigation activities. The aim of this study was to identify spatial and spatiotemporal clustering of fetal loss and infant death, and spatial relationships between high and low clusters of fetal loss and infant death rates and high and low clusters of arsenic concentrations in tube-well water used for drinking. METHODS: Pregnant women from Matlab, Bangladesh, who used tube-well water for drinking while pregnant between 1991 and 2000, were included in this study. In total 29,134 pregnancies were identified. A spatial scan test was used to identify unique non-random spatial and spatiotemporal clusters of fetal loss and infant death using a retrospective spatial and spatiotemporal permutation and Poisson probability models. RESULTS: Two significant clusters of fetal loss and infant death were identified and these clusters remained stable after adjustment for covariates. One cluster of higher rates of fetal loss and infant death was in the vicinity of the Meghna River, and the other cluster of lower rates was in the center of Matlab. The average concentration of arsenic in the water differed between these clusters (319 μg/L for the high cluster and 174 μg/L for the low cluster). The spatial patterns of arsenic concentrations in tube-well water were found to be linked with the adverse pregnancy outcome clusters. In the spatiotemporal analysis, only one high fetal loss and infant death cluster was identified in the same high cluster area obtained from purely spatial analysis. However, the cluster was no longer significant after adjustment for the covariates. CONCLUSION: The finding of this study suggests that given the geographical variation in tube-well water contamination, higher fetal loss and infant deaths were observed in the areas of higher arsenic concentrations in groundwater. This illustrates a possible link between arsenic contamination in tube-well water and adverse pregnancy outcome. Thus, these areas should be considered a priority in arsenic mitigation programs.
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spelling pubmed-29877852010-11-19 Spatial patterns of fetal loss and infant death in an arsenic-affected area in Bangladesh Sohel, Nazmul Vahter, Marie Ali, Mohammad Rahman, Mahfuzar Rahman, Anisur Streatfield, Peter Kim Kanaroglou, Pavlos S Persson, Lars Åke Int J Health Geogr Research BACKGROUND: Arsenic exposure in pregnancy is associated with adverse pregnancy outcome and infant mortality. Knowledge of the spatial characteristics of the outcomes and their possible link to arsenic exposure are important for planning effective mitigation activities. The aim of this study was to identify spatial and spatiotemporal clustering of fetal loss and infant death, and spatial relationships between high and low clusters of fetal loss and infant death rates and high and low clusters of arsenic concentrations in tube-well water used for drinking. METHODS: Pregnant women from Matlab, Bangladesh, who used tube-well water for drinking while pregnant between 1991 and 2000, were included in this study. In total 29,134 pregnancies were identified. A spatial scan test was used to identify unique non-random spatial and spatiotemporal clusters of fetal loss and infant death using a retrospective spatial and spatiotemporal permutation and Poisson probability models. RESULTS: Two significant clusters of fetal loss and infant death were identified and these clusters remained stable after adjustment for covariates. One cluster of higher rates of fetal loss and infant death was in the vicinity of the Meghna River, and the other cluster of lower rates was in the center of Matlab. The average concentration of arsenic in the water differed between these clusters (319 μg/L for the high cluster and 174 μg/L for the low cluster). The spatial patterns of arsenic concentrations in tube-well water were found to be linked with the adverse pregnancy outcome clusters. In the spatiotemporal analysis, only one high fetal loss and infant death cluster was identified in the same high cluster area obtained from purely spatial analysis. However, the cluster was no longer significant after adjustment for the covariates. CONCLUSION: The finding of this study suggests that given the geographical variation in tube-well water contamination, higher fetal loss and infant deaths were observed in the areas of higher arsenic concentrations in groundwater. This illustrates a possible link between arsenic contamination in tube-well water and adverse pregnancy outcome. Thus, these areas should be considered a priority in arsenic mitigation programs. BioMed Central 2010-10-26 /pmc/articles/PMC2987785/ /pubmed/20977746 http://dx.doi.org/10.1186/1476-072X-9-53 Text en Copyright ©2010 Sohel et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Sohel, Nazmul
Vahter, Marie
Ali, Mohammad
Rahman, Mahfuzar
Rahman, Anisur
Streatfield, Peter Kim
Kanaroglou, Pavlos S
Persson, Lars Åke
Spatial patterns of fetal loss and infant death in an arsenic-affected area in Bangladesh
title Spatial patterns of fetal loss and infant death in an arsenic-affected area in Bangladesh
title_full Spatial patterns of fetal loss and infant death in an arsenic-affected area in Bangladesh
title_fullStr Spatial patterns of fetal loss and infant death in an arsenic-affected area in Bangladesh
title_full_unstemmed Spatial patterns of fetal loss and infant death in an arsenic-affected area in Bangladesh
title_short Spatial patterns of fetal loss and infant death in an arsenic-affected area in Bangladesh
title_sort spatial patterns of fetal loss and infant death in an arsenic-affected area in bangladesh
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2987785/
https://www.ncbi.nlm.nih.gov/pubmed/20977746
http://dx.doi.org/10.1186/1476-072X-9-53
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