Cargando…
Knowledge of Arsenic in Drinking-water: Risks and Avoidance in Matlab, Bangladesh
Widespread contamination of arsenic in Bangladesh has been jeopardizing the health of millions of people. Residents of Matlab, Bangladesh, are among the millions at risk. Using bivariate models in the analysis of survey data, knowledge of health risks and avoidance of arsenic exposure in response to...
Autores principales: | , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
International Centre for Diarrhoeal Disease Research, Bangladesh
2006
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013253/ https://www.ncbi.nlm.nih.gov/pubmed/17366774 |
_version_ | 1782195261187031040 |
---|---|
author | Aziz, Sonia N. Boyle, Kevin J. Rahman, Mahfuzar |
author_facet | Aziz, Sonia N. Boyle, Kevin J. Rahman, Mahfuzar |
author_sort | Aziz, Sonia N. |
collection | PubMed |
description | Widespread contamination of arsenic in Bangladesh has been jeopardizing the health of millions of people. Residents of Matlab, Bangladesh, are among the millions at risk. Using bivariate models in the analysis of survey data, knowledge of health risks and avoidance of arsenic exposure in response to widespread contamination of arsenic for residents of Matlab were estimated. The models examined individuals' knowledge of an arsenic problem in the household and knowledge of specific illnesses caused by arsenic exposure. The likelihood of avoiding exposure to arsenic contamination was further examined. Results of the estimation showed that individual's knowledge of arsenic problems in the household was gathered through awareness campaigns and by word of mouth and that knowledge of illnesses was predicated on education, health, presence of children, elderly and young women. Adoption of avoidance measures was not affected by exposure to arsenic-information sources, but level of education had a statistically significant positive effect on the decision to avoid arsenic exposure. Lack of convenience of safe drinking-water practices lead people to persist in drinking arsenic-contaminated water. |
format | Text |
id | pubmed-3013253 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | International Centre for Diarrhoeal Disease Research, Bangladesh |
record_format | MEDLINE/PubMed |
spelling | pubmed-30132532011-03-02 Knowledge of Arsenic in Drinking-water: Risks and Avoidance in Matlab, Bangladesh Aziz, Sonia N. Boyle, Kevin J. Rahman, Mahfuzar J Health Popul Nutr Original Papers Widespread contamination of arsenic in Bangladesh has been jeopardizing the health of millions of people. Residents of Matlab, Bangladesh, are among the millions at risk. Using bivariate models in the analysis of survey data, knowledge of health risks and avoidance of arsenic exposure in response to widespread contamination of arsenic for residents of Matlab were estimated. The models examined individuals' knowledge of an arsenic problem in the household and knowledge of specific illnesses caused by arsenic exposure. The likelihood of avoiding exposure to arsenic contamination was further examined. Results of the estimation showed that individual's knowledge of arsenic problems in the household was gathered through awareness campaigns and by word of mouth and that knowledge of illnesses was predicated on education, health, presence of children, elderly and young women. Adoption of avoidance measures was not affected by exposure to arsenic-information sources, but level of education had a statistically significant positive effect on the decision to avoid arsenic exposure. Lack of convenience of safe drinking-water practices lead people to persist in drinking arsenic-contaminated water. International Centre for Diarrhoeal Disease Research, Bangladesh 2006-09 /pmc/articles/PMC3013253/ /pubmed/17366774 Text en © INTERNATIONAL CENTRE FOR DIARRHOEAL DISEASE RESEARCH, BANGLADESH http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Papers Aziz, Sonia N. Boyle, Kevin J. Rahman, Mahfuzar Knowledge of Arsenic in Drinking-water: Risks and Avoidance in Matlab, Bangladesh |
title | Knowledge of Arsenic in Drinking-water: Risks and Avoidance in Matlab, Bangladesh |
title_full | Knowledge of Arsenic in Drinking-water: Risks and Avoidance in Matlab, Bangladesh |
title_fullStr | Knowledge of Arsenic in Drinking-water: Risks and Avoidance in Matlab, Bangladesh |
title_full_unstemmed | Knowledge of Arsenic in Drinking-water: Risks and Avoidance in Matlab, Bangladesh |
title_short | Knowledge of Arsenic in Drinking-water: Risks and Avoidance in Matlab, Bangladesh |
title_sort | knowledge of arsenic in drinking-water: risks and avoidance in matlab, bangladesh |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013253/ https://www.ncbi.nlm.nih.gov/pubmed/17366774 |
work_keys_str_mv | AT azizsonian knowledgeofarsenicindrinkingwaterrisksandavoidanceinmatlabbangladesh AT boylekevinj knowledgeofarsenicindrinkingwaterrisksandavoidanceinmatlabbangladesh AT rahmanmahfuzar knowledgeofarsenicindrinkingwaterrisksandavoidanceinmatlabbangladesh |