Hadi A, Parveen R
Research and Evaluation Division, Bangladesh Rural Advancement Committee, 75 Mohakhali, 1212 Dhaka, Bangladesh.
Public Health. 2004 Dec;118(8):559-64. doi: 10.1016/j.puhe.2003.11.002.
The potential effects of arsenic-contaminated drinking water on health are of concern, but our understanding of the risk factors of arsenicosis remains limited. This study assessed the prevalence of and socio-economic differentials in arsenic-associated skin lesions in a rural community in Bangladesh. Data were collected from a village where the Bangladesh Rural Advancement Committee has operated a health surveillance system and a community-based arsenic mitigation project since 1999. In total, 1654 residents in the study village were examined in May 2000 for arsenic-associated lesions on their skin. Socio-economic information was extracted from the surveillance system database covering the village. Nearly 2.9% of the study population had clinical manifestations of arsenic poisoning. The prevalence of arsenicosis was associated with age, sex, education and the economic status of the household. Multivariate analysis identified age and economic status as significant predictors of arsenicosis controlling for education and gender. In conclusion, a clear understanding of the socio-economic distribution of arsenicosis in different demographic and socio-economic groups will be useful in identifying the high-risk groups from arsenic-affected communities. More studies are needed to design effective interventions to mitigate the effects of arsenic in Bangladesh.
受砷污染的饮用水对健康的潜在影响令人担忧,但我们对砷中毒风险因素的了解仍然有限。本研究评估了孟加拉国一个农村社区中与砷相关的皮肤病变的患病率及其社会经济差异。数据收集自一个村庄,自1999年以来,孟加拉国农村发展委员会在该村庄开展了健康监测系统和基于社区的砷缓解项目。2000年5月,对研究村庄的1654名居民进行了检查,以查看其皮肤上与砷相关的病变情况。社会经济信息从涵盖该村庄的监测系统数据库中提取。近2.9%的研究人群有砷中毒的临床表现。砷中毒的患病率与年龄、性别、教育程度和家庭经济状况有关。多变量分析确定,在控制了教育程度和性别因素后,年龄和经济状况是砷中毒的重要预测因素。总之,清楚了解不同人口和社会经济群体中砷中毒的社会经济分布情况,将有助于从受砷影响的社区中识别出高危群体。需要开展更多研究,以设计有效的干预措施来减轻孟加拉国砷的影响。