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The Feasibility of Using Computrition Software for Nutrition Research—A Pilot Study

We evaluated the feasibility of using Computrition to design and implement a low vs. typical sodium meal plan intervention for older adults. Dietitians used Computrition to design a 7-day meal plan with three caloric levels (≤1750, 2000, ≥2250 kcals/day) and two sodium densities (low = 0.9 mg/kcal;...

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Autores principales: Millar, Courtney L., Cohen, Alegria, Juraschek, Stephen P., Foley, Abby, Shtivelman, Misha, Mukamal, Kenneth J., Sahni, Shivani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7911746/
https://www.ncbi.nlm.nih.gov/pubmed/33498640
http://dx.doi.org/10.3390/nu13020329
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author Millar, Courtney L.
Cohen, Alegria
Juraschek, Stephen P.
Foley, Abby
Shtivelman, Misha
Mukamal, Kenneth J.
Sahni, Shivani
author_facet Millar, Courtney L.
Cohen, Alegria
Juraschek, Stephen P.
Foley, Abby
Shtivelman, Misha
Mukamal, Kenneth J.
Sahni, Shivani
author_sort Millar, Courtney L.
collection PubMed
description We evaluated the feasibility of using Computrition to design and implement a low vs. typical sodium meal plan intervention for older adults. Dietitians used Computrition to design a 7-day meal plan with three caloric levels (≤1750, 2000, ≥2250 kcals/day) and two sodium densities (low = 0.9 mg/kcal; n = 11 or typical = 2 mg/kcal; n = 9). Feasibility was determined by post-hoc definitions of effectiveness, sodium compliance, palatability of diet, sustainability, and safety. Given the low number of participants in one of the three calorie groups, the higher calorie groups were combined. Thus, comparisons are between low vs. typical meal plans at two calorie levels (≤1750 or ≥2000 kcals/day). Overall, regardless of the calorie group, the meal plans created with Computrition were effective in reaching the targeted sodium density and were safe for participants. Furthermore, individuals appeared to be equally compliant and reported similar palatability across meal plans. However, one of the three criteria for the sustainability definition was not met. In conclusion, we successfully used Computrition to design low and typical sodium meal plans that were effective, compliable, and safe. Future studies of older adults in similar settings should focus on improving the palatability of the meal plans and scaling this protocol to larger studies in older adults.
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spelling pubmed-79117462021-02-28 The Feasibility of Using Computrition Software for Nutrition Research—A Pilot Study Millar, Courtney L. Cohen, Alegria Juraschek, Stephen P. Foley, Abby Shtivelman, Misha Mukamal, Kenneth J. Sahni, Shivani Nutrients Article We evaluated the feasibility of using Computrition to design and implement a low vs. typical sodium meal plan intervention for older adults. Dietitians used Computrition to design a 7-day meal plan with three caloric levels (≤1750, 2000, ≥2250 kcals/day) and two sodium densities (low = 0.9 mg/kcal; n = 11 or typical = 2 mg/kcal; n = 9). Feasibility was determined by post-hoc definitions of effectiveness, sodium compliance, palatability of diet, sustainability, and safety. Given the low number of participants in one of the three calorie groups, the higher calorie groups were combined. Thus, comparisons are between low vs. typical meal plans at two calorie levels (≤1750 or ≥2000 kcals/day). Overall, regardless of the calorie group, the meal plans created with Computrition were effective in reaching the targeted sodium density and were safe for participants. Furthermore, individuals appeared to be equally compliant and reported similar palatability across meal plans. However, one of the three criteria for the sustainability definition was not met. In conclusion, we successfully used Computrition to design low and typical sodium meal plans that were effective, compliable, and safe. Future studies of older adults in similar settings should focus on improving the palatability of the meal plans and scaling this protocol to larger studies in older adults. MDPI 2021-01-23 /pmc/articles/PMC7911746/ /pubmed/33498640 http://dx.doi.org/10.3390/nu13020329 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Millar, Courtney L.
Cohen, Alegria
Juraschek, Stephen P.
Foley, Abby
Shtivelman, Misha
Mukamal, Kenneth J.
Sahni, Shivani
The Feasibility of Using Computrition Software for Nutrition Research—A Pilot Study
title The Feasibility of Using Computrition Software for Nutrition Research—A Pilot Study
title_full The Feasibility of Using Computrition Software for Nutrition Research—A Pilot Study
title_fullStr The Feasibility of Using Computrition Software for Nutrition Research—A Pilot Study
title_full_unstemmed The Feasibility of Using Computrition Software for Nutrition Research—A Pilot Study
title_short The Feasibility of Using Computrition Software for Nutrition Research—A Pilot Study
title_sort feasibility of using computrition software for nutrition research—a pilot study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7911746/
https://www.ncbi.nlm.nih.gov/pubmed/33498640
http://dx.doi.org/10.3390/nu13020329
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