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Title
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Food for thought : reinforced learning and recall of physical activity calorie equivalent (PACE) and numerical calorie content in an associative learning task
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Author
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Abstract
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| Calorie overconsumption has been proposed as a critical contributing factor to rising obesity rates. To combat this health issue, governments and policymakers have suggested implementing numerical caloric content labels. Alternatively, physical activity calorie equivalent (PACE) labels are being proposed as an easier-to-understand metric, representing the amount of physical activity required to burn off calorie content. This study examined individuals' ability to correctly estimate either the numerical caloric content or the PACE values of food images in an associative learning task. Moreover, it assessed whether this knowledge was learned and retained over time. One hundred and ninety-one participants were instructed to estimate either the numerical caloric content or PACE values of thirty food images. To facilitate learning, feedback on the correct number of calories or PACE values was provided during the first session (Time 1). To assess retention, people re-estimated numerical caloric content or PACE values of the same food pictures three days later (Time 2) and seven days later (Time 3), where feedback was not provided. Results showed that participants in both groups improved their estimations using feedback, with people being consistently more accurate when estimating numerical calorie content. Yet, our results also suggest that participants consolidated their knowledge of PACE values over time. Finally, our findings show that hunger moderates individuals' estimation ability, where hungrier people are less accurate than satiated ones. The results contribute to our understanding of how consumers process, estimate, and learn PACE labels versus numerical caloric content, and provide valuable information for researchers and policymakers to develop and implement nutritional labels as a health strategy. |
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Language
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English
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Source (journal)
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Appetite: the journal for research on intake, its control and its consequence. - London
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Publication
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London
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2024
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ISSN
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0195-6663
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DOI
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10.1016/J.APPET.2023.107129
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Volume/pages
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193
(2024)
, p. 1-10
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Article Reference
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107129
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ISI
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001127724400001
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Pubmed ID
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38008189
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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