title: Knowledge of arsenic in drinking-water: risks and avoidance in Matlab, Bangladesh.
abstract: 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.
authors: Virginia Tech, 208-A Hutcheson Hall, Blacksburg, VA 24061, USA. azizsn05@vt.edu
authors: Sonia N
authors: SN
authors: Aziz
authors: Kevin J
authors: KJ
authors: Boyle
authors: Mahfuzar
authors: M
authors: Rahman
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001151:Arsenic / Q000032:analysis*; D020261:Arsenic Poisoning / Q000517:prevention & control / Q000523:psychology*; D001459:Bangladesh; D004326:Drinking; D004781:Environmental Exposure; D005260:Female; D006266:Health Education; D007722:Health Knowledge, Attitudes, Practice; D006304:Health Status; D006801:Humans; D007407:Interviews as Topic; D016013:Likelihood Functions; D008297:Male; D008875:Middle Aged; D011203:Poverty; D012307:Risk Factors; D014874:Water Pollutants, Chemical / Q000032:analysis*; D014881:Water Supply / Q000032:analysis / Q000592:standards
chemical_list: D014874:Water Pollutants, Chemical; D001151:Arsenic