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Characterizing Individual Differences in Sweet Taste Hedonics: Test Methods, Locations, and Stimuli

Sweetness drives the consumption of added sugars, so understanding how to best measure sweet hedonics is important for developing strategies to lower sugar intake. However, methods to assess hedonic response to sweetness vary, making results across studies difficult to integrate. We compared methods...

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Autores principales: Cheung, May M., Kramer, Matthew, Beauchamp, Gary K., Puputti, Sari, Wise, Paul M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777740/
https://www.ncbi.nlm.nih.gov/pubmed/35057551
http://dx.doi.org/10.3390/nu14020370
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author Cheung, May M.
Kramer, Matthew
Beauchamp, Gary K.
Puputti, Sari
Wise, Paul M.
author_facet Cheung, May M.
Kramer, Matthew
Beauchamp, Gary K.
Puputti, Sari
Wise, Paul M.
author_sort Cheung, May M.
collection PubMed
description Sweetness drives the consumption of added sugars, so understanding how to best measure sweet hedonics is important for developing strategies to lower sugar intake. However, methods to assess hedonic response to sweetness vary, making results across studies difficult to integrate. We compared methods to measure optimal sucrose concentration in 21 healthy adults (1) using paired-comparison preference tracking vs. ratings of liking, (2) with participants in the laboratory vs. at home, and (3) using aqueous solutions vs. vanilla milk. Tests were replicated on separate days to assess test-retest reliability. Test-retest reliability was similar between laboratory and home testing, but tended to be better for vanilla milk and preference tracking. Optimal sucrose concentration was virtually identical between laboratory and home, slightly lower when estimated via preference tracking, and about 50% lower in vanilla milk. However, optimal sucrose concentration correlated strongly between methods, locations, and stimuli. More than 50% of the variability in optimal sucrose concentration could be attributed to consistent differences among individuals, while much less variability was attributable to differences between methods. These results demonstrate convergent validity between methods, support testing at home, and suggest that aqueous solutions can be useful proxies for some commonly consumed beverages for measuring individual differences.
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spelling pubmed-87777402022-01-22 Characterizing Individual Differences in Sweet Taste Hedonics: Test Methods, Locations, and Stimuli Cheung, May M. Kramer, Matthew Beauchamp, Gary K. Puputti, Sari Wise, Paul M. Nutrients Article Sweetness drives the consumption of added sugars, so understanding how to best measure sweet hedonics is important for developing strategies to lower sugar intake. However, methods to assess hedonic response to sweetness vary, making results across studies difficult to integrate. We compared methods to measure optimal sucrose concentration in 21 healthy adults (1) using paired-comparison preference tracking vs. ratings of liking, (2) with participants in the laboratory vs. at home, and (3) using aqueous solutions vs. vanilla milk. Tests were replicated on separate days to assess test-retest reliability. Test-retest reliability was similar between laboratory and home testing, but tended to be better for vanilla milk and preference tracking. Optimal sucrose concentration was virtually identical between laboratory and home, slightly lower when estimated via preference tracking, and about 50% lower in vanilla milk. However, optimal sucrose concentration correlated strongly between methods, locations, and stimuli. More than 50% of the variability in optimal sucrose concentration could be attributed to consistent differences among individuals, while much less variability was attributable to differences between methods. These results demonstrate convergent validity between methods, support testing at home, and suggest that aqueous solutions can be useful proxies for some commonly consumed beverages for measuring individual differences. MDPI 2022-01-15 /pmc/articles/PMC8777740/ /pubmed/35057551 http://dx.doi.org/10.3390/nu14020370 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cheung, May M.
Kramer, Matthew
Beauchamp, Gary K.
Puputti, Sari
Wise, Paul M.
Characterizing Individual Differences in Sweet Taste Hedonics: Test Methods, Locations, and Stimuli
title Characterizing Individual Differences in Sweet Taste Hedonics: Test Methods, Locations, and Stimuli
title_full Characterizing Individual Differences in Sweet Taste Hedonics: Test Methods, Locations, and Stimuli
title_fullStr Characterizing Individual Differences in Sweet Taste Hedonics: Test Methods, Locations, and Stimuli
title_full_unstemmed Characterizing Individual Differences in Sweet Taste Hedonics: Test Methods, Locations, and Stimuli
title_short Characterizing Individual Differences in Sweet Taste Hedonics: Test Methods, Locations, and Stimuli
title_sort characterizing individual differences in sweet taste hedonics: test methods, locations, and stimuli
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777740/
https://www.ncbi.nlm.nih.gov/pubmed/35057551
http://dx.doi.org/10.3390/nu14020370
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