A canine model for assessment of satiety.

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A canine model for assessment of satiety.
Wai Chung Joan Chan
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Last edited by WorkBot
December 15, 2009 | History

A canine model for assessment of satiety.

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Overweight and obesity are commonly treated with weight-loss agents that reduce food intake through alternation to the parameters that influence meal ingestion. The mechanism of action, efficacy, and toxicological profiles of these agents are firstly assessed in animals and finally in humans. However, the currently available animal models and methods of assessment are not sufficient and sensitive enough to detect the minute changes in appetite and feeding motivation prior to the observable and quantifiable reduction in food ingestion. Hence, the current study attempts to develop and promote a novel cognitive-based protocol to assess satiety in dogs. The visuospatial memory task used in this protocol was also used to evaluate the satiability of a high-fibre diet and the anorexigenic effect of d-amphetamine. All three experiments demonstrated that the visuospatial memory task was a sensitive and valid method in assessing feeding motivation and comparing the efficacy of potential weight-reducing agents in beagle dogs.

Publish Date
Language
English
Pages
150

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Edition Availability
Cover of: A canine model for assessment of satiety.
A canine model for assessment of satiety.
2005
in English
Cover of: A canine model for assessment of satiety.
A canine model for assessment of satiety.
2005
in English

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Book Details


Edition Notes

Thesis (M.Sc.)--University of Toronto, 2005.

Electronic version licensed for access by U. of T. users.

Source: Masters Abstracts International, Volume: 44-01, page: 0324.

GERSTEIN MICROTEXT copy on microfiche (2 microfiches).

The Physical Object

Pagination
150 leaves.
Number of pages
150

ID Numbers

Open Library
OL20239094M
ISBN 10
0494025360

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
December 15, 2009 Edited by WorkBot link works
October 26, 2008 Created by ImportBot Imported from University of Toronto MARC record