Matches in SemOpenAlex for { <https://semopenalex.org/work/W2807549060> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W2807549060 abstract "The linkage between arsenic contaminated water and increased cancer risk is well recognized. The potential health risk posed by separate inorganic and organic arsenic species through combined exposure to arsenic contaminated water and staple foods is not well understood though. Therefore, this research aims to improve arsenic risk assessment by investigating the primary exposure sources, pathways, metabolism and response indicators in an integrated manner. The population based water and food consumption pattern characterised by this research was used to validate the cancer risk modelling which demonstrated that using water or food intake values from the developed world may not represent cancer risks to the specific population in question. Integrating this characterisation with arsenic species provided several key insights. Arsenate was identified as the main species in the ground water aquifers of five villages whilst the predominance of arsenite and its co-existence with arsenate in one village indicated variations in aquifer redox conditions. Wheat cultivated with arsenic-rich irrigation water proved to be an alternate exposure pathway of inorganic arsenic. The species specific probabilistic cancer and non-cancer risks were found to be higher for arsenite followed by arsenate, whilst no risk was found for dimethylarsinic acid of dietary origin. The comparative impact of various reference doses on chronic health risk substantiated that children are at higher vulnerability, whilst using population based exposure characteristics of this study population and relative risk estimates from southwest Taiwan, showed females to be at higher risk of life time bladder and lung cancer due to inorganic arsenic. No risk was associated with low doses of arsenic. Total ingested arsenic from water or food under the effect of certain potential modifiers was a significant predictor of arsenic species in human biomarkers and proved toenail to be a comparatively effective biomarker. At low arsenic levels in water, food associated total arsenic was a better predictor of urinary metabolites. The total arsenic intake from water and urinary metabolites under the effect of labour jobs strongly predicted the increased risk of arsenical skin lesions. Probabilistic risk modelling indicated that persons with skin lesions were at higher risk of transformation of skin lesions into skin cancer, also evidenced with their lower methylation capability. Overall, this thesis provides evidence that species based risk assessment requires a greater understanding of exposure matrix, toxicological thresholds and metabolic reactions from ingestion to potential endpoints. This study has provided a baseline of inorganic arsenic for risk management to set public health water supply goals and to minimize the daily consumption of cooked rice for compliance with the safe arsenic limit. The findings are suitable to support future regulatory processes for species based arsenic limits in water together with staple foods." @default.
- W2807549060 created "2018-06-13" @default.
- W2807549060 creator A5044940170 @default.
- W2807549060 date "2018-01-17" @default.
- W2807549060 modified "2023-09-23" @default.
- W2807549060 title "Improved Integrated Risk Assessment of Geogenic Arsenic: Exposure and Attributable Health Risks" @default.
- W2807549060 hasPublicationYear "2018" @default.
- W2807549060 type Work @default.
- W2807549060 sameAs 2807549060 @default.
- W2807549060 citedByCount "0" @default.
- W2807549060 crossrefType "dissertation" @default.
- W2807549060 hasAuthorship W2807549060A5044940170 @default.
- W2807549060 hasConcept C107872376 @default.
- W2807549060 hasConcept C12174686 @default.
- W2807549060 hasConcept C132165134 @default.
- W2807549060 hasConcept C178790620 @default.
- W2807549060 hasConcept C185592680 @default.
- W2807549060 hasConcept C2776305511 @default.
- W2807549060 hasConcept C2777764464 @default.
- W2807549060 hasConcept C2779794483 @default.
- W2807549060 hasConcept C2908647359 @default.
- W2807549060 hasConcept C2984618805 @default.
- W2807549060 hasConcept C33070731 @default.
- W2807549060 hasConcept C38652104 @default.
- W2807549060 hasConcept C39432304 @default.
- W2807549060 hasConcept C41008148 @default.
- W2807549060 hasConcept C502230775 @default.
- W2807549060 hasConcept C71924100 @default.
- W2807549060 hasConcept C86803240 @default.
- W2807549060 hasConcept C99454951 @default.
- W2807549060 hasConceptScore W2807549060C107872376 @default.
- W2807549060 hasConceptScore W2807549060C12174686 @default.
- W2807549060 hasConceptScore W2807549060C132165134 @default.
- W2807549060 hasConceptScore W2807549060C178790620 @default.
- W2807549060 hasConceptScore W2807549060C185592680 @default.
- W2807549060 hasConceptScore W2807549060C2776305511 @default.
- W2807549060 hasConceptScore W2807549060C2777764464 @default.
- W2807549060 hasConceptScore W2807549060C2779794483 @default.
- W2807549060 hasConceptScore W2807549060C2908647359 @default.
- W2807549060 hasConceptScore W2807549060C2984618805 @default.
- W2807549060 hasConceptScore W2807549060C33070731 @default.
- W2807549060 hasConceptScore W2807549060C38652104 @default.
- W2807549060 hasConceptScore W2807549060C39432304 @default.
- W2807549060 hasConceptScore W2807549060C41008148 @default.
- W2807549060 hasConceptScore W2807549060C502230775 @default.
- W2807549060 hasConceptScore W2807549060C71924100 @default.
- W2807549060 hasConceptScore W2807549060C86803240 @default.
- W2807549060 hasConceptScore W2807549060C99454951 @default.
- W2807549060 hasLocation W28075490601 @default.
- W2807549060 hasOpenAccess W2807549060 @default.
- W2807549060 hasPrimaryLocation W28075490601 @default.
- W2807549060 hasRelatedWork W134743188 @default.
- W2807549060 hasRelatedWork W1748117648 @default.
- W2807549060 hasRelatedWork W1968342840 @default.
- W2807549060 hasRelatedWork W2001561980 @default.
- W2807549060 hasRelatedWork W2024888422 @default.
- W2807549060 hasRelatedWork W2036616903 @default.
- W2807549060 hasRelatedWork W2075140743 @default.
- W2807549060 hasRelatedWork W2075732286 @default.
- W2807549060 hasRelatedWork W2081237013 @default.
- W2807549060 hasRelatedWork W2115700035 @default.
- W2807549060 hasRelatedWork W2143453929 @default.
- W2807549060 hasRelatedWork W2332676534 @default.
- W2807549060 hasRelatedWork W2345483762 @default.
- W2807549060 hasRelatedWork W2766949278 @default.
- W2807549060 hasRelatedWork W2900049047 @default.
- W2807549060 hasRelatedWork W2903945756 @default.
- W2807549060 hasRelatedWork W2904670584 @default.
- W2807549060 hasRelatedWork W3131372935 @default.
- W2807549060 hasRelatedWork W381714690 @default.
- W2807549060 hasRelatedWork W7064723 @default.
- W2807549060 isParatext "false" @default.
- W2807549060 isRetracted "false" @default.
- W2807549060 magId "2807549060" @default.
- W2807549060 workType "dissertation" @default.