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The application of categorical regression to model the exposure-response relationship of copper excess and deficiency

dc.contributor.authorChambers, Andrea
dc.date.accessioned2013-11-07T19:04:39Z
dc.date.available2013-11-07T19:04:39Z
dc.date.created2010
dc.date.issued2010
dc.degree.levelMasters
dc.degree.nameM.Sc.
dc.description.abstractThere is a need to define an exposure-response curve for both copper excess and deficiency to assist in defining the acceptable range of oral intake. A copper exposure-response database has been developed where response data has been assigned to ordinal severity scores. A generalized linear model was used to estimate the probability of response associated with dose, duration and severity. The exposure-response model is defined to account for differences in animal species, route of exposure and age. The exposure-response curves for copper excess and copper deficiency have defined an optimal intake level of 2.0 mg Cu/day and an acceptable range of oral intake between 1.8 and 3.1 mg Cu/day. These results suggest that current recommendations for copper intake including the recommended dietary intake (0.9 mg/day) and the tolerable upper intake level (10 mg/day) may not protect the population from responses that might occur outside the limits of the homeostatic range.
dc.format.extent308 p.
dc.identifier.citationSource: Masters Abstracts International, Volume: 48-06, page: 3607.
dc.identifier.urihttp://hdl.handle.net/10393/28428
dc.identifier.urihttp://dx.doi.org/10.20381/ruor-19255
dc.language.isoen
dc.publisherUniversity of Ottawa (Canada)
dc.subject.classificationHealth Sciences, Toxicology.
dc.subject.classificationHealth Sciences, Epidemiology.
dc.titleThe application of categorical regression to model the exposure-response relationship of copper excess and deficiency
dc.typeThesis

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