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Sökning: WFRF:(Davies Tazman)

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1.
  • Davies, Tazman, et al. (författare)
  • An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods
  • 2021
  • Ingår i: Nutrients. - : MDPI. - 2072-6643. ; 13:9
  • Tidskriftsartikel (refereegranskat)abstract
    • Underconsumption of dietary fiber is prevalent worldwide and is associated with multiple adverse health conditions. Despite the importance of fiber, the labeling of fiber content on packaged foods and beverages is voluntary in most countries, making it challenging for consumers and policy makers to monitor fiber consumption. Here, we developed a machine learning approach for automated and systematic prediction of fiber content using nutrient information commonly available on packaged products. An Australian packaged food dataset with known fiber content information was divided into training (n = 8986) and test datasets (n = 2455). Utilization of a k-nearest neighbors machine learning algorithm explained a greater proportion of variance in fiber content than an existing manual fiber prediction approach (R-2 = 0.84 vs. R-2 = 0.68). Our findings highlight the opportunity to use machine learning to efficiently predict the fiber content of packaged products on a large scale.
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2.
  • Davies, Tazman, et al. (författare)
  • Packaged foods purchased on price promotion in Australia
  • 2023
  • Ingår i: Appetite. - : Elsevier. - 0195-6663 .- 1095-8304. ; 180
  • Tidskriftsartikel (refereegranskat)abstract
    • We examined the prevalence and magnitude of price promotions among purchases of packaged foods and beverages in Australia, as well as the contribution of price-promoted foods and beverages to apparent energy intake. We utilized grocery purchase data from a nationally representative panel of 10 000 households in 2019 (NielsenIQ Homescan panel), combined with a food nutrition dataset (FoodSwitch). Nutritional quality was defined using the Australian and New Zealand Health Star Rating (HSR), where products with an HSR <3.5 were classified as 'less healthy' and products with an HSR >= 3.5 were classified as 'healthy'. Apparent energy intake was expressed as the total energy content of all purchased products per day per capita. Price promotions were claimed by panel members. Overall, four-in-ten packaged products (41%) were purchased on price promotion. Compared to 'healthy' products, 'less healthy' products were more frequently purchased on price promotion (33% vs 48%, respectively, p < 0.001), but had a similar mean magnitude of price discount (both 22%). Low socio-economic status (SES) households consumed 18% more energy from 'less healthy' packaged products on price promotion than high SES households (1141 vs 970 kJ/day/capita, p < 0.001). In conclusion, restricting price promotions for 'less healthy' packaged foods and beverages could potentially improve diet quality and dietary inequalities in Australia.
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