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Global impacts of geogenic As increase the risk for elevated As exposure through the consumption of contaminated drinking water and food (Francesconi 2010; Sun et al. 2012).
Human dosimetry of PCBs should include factors such as exposure through the diet, time spent indoors and outdoors, concentration of PCBs outdoors, and age.
Previous ecological studies in the As endemic region of southwest Taiwan (Tseng et al. 1968; Yeh et al. 1968) support an association between high levels of As exposure through well water and SCC.
This is the first study to investigate the effects of long-term As ingestion on the body after cessation of chronic As exposure through evaluation of the As methylation indices.
Epidemiology studies have suggested that the most common scenario for human infection is close contact with domestic poultry [ 5- 8] such as exposure through live bird markets (LBMs) [ 9].
In 2000, researchers from Columbia University (CU) and partner institutions in Bangladesh established a large epidemiologic cohort study of 11,746 men and women to prospectively evaluate long-term health effects of As exposure through in-person biennial follow-up visits.
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Our data show that impaired semen quality in adulthood results from exposure in utero, as well as continuous exposure through breast-feeding during "neonatal minipuberty," with adverse effects starting with a dioxin exposure range of 19 40 ppt and higher (the concentrations of background dioxin-like chemicals must also be added).
Exposure assessment included a lifetime reconstruction of As exposure (LAsE) through a structured interview and history of drinking-water iAs concentrations at each location.
This bioassay-based approach yielded information reflective of life-long exposure, as well as more recent exposure through food consumption.
Ultimately the exposure of the 17 36 RG-1 epitope appears to be necessary for infection, as blocking exposure through inhibition of furin inhibition prevents exit from the endo/lysosomal compartment [37].
Second, we estimated the number of individuals with T2DM (in the Diabetes state) in whom the disease was assumed to be 'caused' by obesity as an exposure, through multiplying the ' population attributable risk' [20] by the size of (Diabetes) state.
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