Dissertation
An Examination of the Accuracy of Nutrient Profiling Models
University of the Sunshine Coast, Queensland
Doctor of Philosophy, University of the Sunshine Coast
2016
DOI:
https://doi.org/10.25907/00621
Abstract
Nutrient profiling is defined by the World Health Organisation as the science of classifying or ranking foods according to their nutritional composition for reasons related to preventing disease and promoting health. Nutrient profiling models are instruments used to rank the nutrient composition of foods and beverages. These models have many applications including: the regulation of nutrition and health claims; the assessment of the eligibility of food marketed to children; to provide the stimulus for food reformulation; and, most commonly, to provide the basis for nutrition signposting schemes which are designed to identify healthier food choices. It is therefore crucial that nutrient profiling models are objectively assessed for accuracy, to ensure that a food identified as a healthier choice is unequivocally associated with preventing disease and promoting health. This thesis aimed to investigate the methods used to validate current nutrient profiling models and to use one of the identified methods to assess the validity of the Australian nutrient profiling models that form the basis of the Health Star Rating system. This research consisted of three studies that used a combination of different research methods to address the overall aims and objectives of this thesis.
Details
- Title
- An Examination of the Accuracy of Nutrient Profiling Models
- Authors
- Sheri Cooper
- Contributors
- Fiona Pelly (Supervisor)John B Lowe (Supervisor)
- Awarding institution
- University of the Sunshine Coast
- Degree awarded
- Doctor of Philosophy
- Publisher
- University of the Sunshine Coast, Queensland
- DOI
- 10.25907/00621
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Health - Nutrition & Dietetics; School of Health and Sport Sciences - Legacy; School of Health and Behavioural Sciences - Legacy
- Language
- English
- Record Identifier
- 99450363702621
- Output Type
- Dissertation
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