The aim of this study is to identify the impacts of socio-demographic variables on arsenicosis affected rural areas in Chapainawbabganj district, Bangladesh. For this, a total number of 200 respondents have been interviewed through a structured questionnaire by purposive sampling technique. In this study, logistic regression model is used to identify the risk factors on arsenicosis. In this analysis, it is indicated that respondent’s age, education, occupation, income and land ownership have high significant impacts on arsenicosis. Poor socio-economic groups are significantly higherand poor people suffer more from arsenic toxicity, more intervention activities may be useful for them.
Key words: Arsenicosis, socio-demographic variables, logistic regression analysis, Bangladesh.
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