OBJECTIVES: Arsenic contamination of groundwater is a severe public health crisis in Bangladesh, where the population is exposed to arsenic in drinking water through tube wells used for groundwater collection. In this study, we explored the association between socioeconomic status and arsenic toxicity. METHODS: We used baseline data from 11438 men and women who were recruited into the Health Effects of Arsenic Longitudinal Study (HEALS), a prospective cohort study on the health effects of arsenic exposure in Bangladesh. We conducted analyses with logistic regression and generalized estimating equations. RESULTS: We found a strong dose-response association with all measures of arsenic exposure and skin lesions. We also found that the effect of arsenic was modified by land ownership on a multiplicative scale, with an increased risk among non-land owners associated with well water arsenic (P=.04) and urinary total arsenic concentrations (P=.03). CONCLUSIONS: Our study provides insight into potentially modifiable host characteristics and identifies factors that may effectively target susceptible population subgroups for appropriate interventions.
OBJECTIVES:Arsenic contamination of groundwater is a severe public health crisis in Bangladesh, where the population is exposed to arsenic in drinking water through tube wells used for groundwater collection. In this study, we explored the association between socioeconomic status and arsenic toxicity. METHODS: We used baseline data from 11438 men and women who were recruited into the Health Effects of Arsenic Longitudinal Study (HEALS), a prospective cohort study on the health effects of arsenic exposure in Bangladesh. We conducted analyses with logistic regression and generalized estimating equations. RESULTS: We found a strong dose-response association with all measures of arsenic exposure and skin lesions. We also found that the effect of arsenic was modified by land ownership on a multiplicative scale, with an increased risk among non-land owners associated with well waterarsenic (P=.04) and urinary total arsenic concentrations (P=.03). CONCLUSIONS: Our study provides insight into potentially modifiable host characteristics and identifies factors that may effectively target susceptible population subgroups for appropriate interventions.
Authors: Allan H Smith; Guillermo Marshall; Yan Yuan; Jane Liaw; Catterina Ferreccio; Craig Steinmaus Journal: Am J Epidemiol Date: 2010-12-29 Impact factor: 4.897
Authors: Stephanie M Eick; Catterina Ferreccio; Johanna Acevedo; Felicia Castriota; José F Cordero; Taehyun Roh; Allan H Smith; Martyn T Smith; Craig Steinmaus Journal: Environ Res Date: 2019-03-06 Impact factor: 6.498