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Abstract 156: Nutrition therapy: Evaluating relevant interactions for therapeutic success
Background: Clinical nutrition services focus on calories and when a patient looses weight, it may result in both fat and protein loss. There is a lacunae in incorporating anthropometric data as part of nutritional services. Aim: To evaluate nutritional therapy in Diabetes with anthropometric data b...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9067738/ http://dx.doi.org/10.4103/2230-8210.342281 |
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author | Mahesh, D M Sridhar, C B Raj, Rebecca Raj, Tony Kurpad, Anura V |
author_facet | Mahesh, D M Sridhar, C B Raj, Rebecca Raj, Tony Kurpad, Anura V |
author_sort | Mahesh, D M |
collection | PubMed |
description | Background: Clinical nutrition services focus on calories and when a patient looses weight, it may result in both fat and protein loss. There is a lacunae in incorporating anthropometric data as part of nutritional services. Aim: To evaluate nutritional therapy in Diabetes with anthropometric data beyond weight. Materials and Methods: A total number of 847 diabetes patients in age group 35-71 years referred to Division of Nutrition, St. John's Medical College Hospital, Bangalore were recruited from 2015 to 2017. Anthropometric measurements including Body-Mass-Index (BMI), Waist-circumference (WC), Waist–Hip Ratio (WHR), Mid-ArmCircumference (MAC) were carried out on the patients on the first visit and subsequently on every other visit. A 24-hour dietary and physical activity recall was done by a nutritionist and a specific individualised plan was provided based on current intake. Wherever applicable paired ‘t’ test & univariate regression analysis were carried out between anthropometric, biochemical and dietary variables. The mean follow up was 12 months. Results: There was a significant positive association between BMI, percent body fat and WC, but not with WHR. On 24-hour dietary recall done during follow up, individuals in all the BMI groups consumed diets that closely matched international dietary recommendations for diabetes in terms of fibre intake, carbohydrate:protein:fat ratio. Patient's blood glucose profiles improved with a decrease in fat intake, without significant weight-loss. The mid-arm-circumference remained same through the study period. Conclusion: Clinical nutrition programs should utilize anthropometric data like WC & MAC along with dietary recall. Appropriate counselling with balanced diet beyond calories should be provided to achieve a decrease in fat mass without a decrease in mid-arm-circumference to maintain the protein mass. This data compares favourably with the Finnish Diabetes Prevention Study (DPS). |
format | Online Article Text |
id | pubmed-9067738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-90677382022-05-05 Abstract 156: Nutrition therapy: Evaluating relevant interactions for therapeutic success Mahesh, D M Sridhar, C B Raj, Rebecca Raj, Tony Kurpad, Anura V Indian J Endocrinol Metab Abstracts … Esicon 2021 Background: Clinical nutrition services focus on calories and when a patient looses weight, it may result in both fat and protein loss. There is a lacunae in incorporating anthropometric data as part of nutritional services. Aim: To evaluate nutritional therapy in Diabetes with anthropometric data beyond weight. Materials and Methods: A total number of 847 diabetes patients in age group 35-71 years referred to Division of Nutrition, St. John's Medical College Hospital, Bangalore were recruited from 2015 to 2017. Anthropometric measurements including Body-Mass-Index (BMI), Waist-circumference (WC), Waist–Hip Ratio (WHR), Mid-ArmCircumference (MAC) were carried out on the patients on the first visit and subsequently on every other visit. A 24-hour dietary and physical activity recall was done by a nutritionist and a specific individualised plan was provided based on current intake. Wherever applicable paired ‘t’ test & univariate regression analysis were carried out between anthropometric, biochemical and dietary variables. The mean follow up was 12 months. Results: There was a significant positive association between BMI, percent body fat and WC, but not with WHR. On 24-hour dietary recall done during follow up, individuals in all the BMI groups consumed diets that closely matched international dietary recommendations for diabetes in terms of fibre intake, carbohydrate:protein:fat ratio. Patient's blood glucose profiles improved with a decrease in fat intake, without significant weight-loss. The mid-arm-circumference remained same through the study period. Conclusion: Clinical nutrition programs should utilize anthropometric data like WC & MAC along with dietary recall. Appropriate counselling with balanced diet beyond calories should be provided to achieve a decrease in fat mass without a decrease in mid-arm-circumference to maintain the protein mass. This data compares favourably with the Finnish Diabetes Prevention Study (DPS). Wolters Kluwer - Medknow 2022-03 /pmc/articles/PMC9067738/ http://dx.doi.org/10.4103/2230-8210.342281 Text en Copyright: © 2022 Indian Journal of Endocrinology and Metabolism https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Abstracts … Esicon 2021 Mahesh, D M Sridhar, C B Raj, Rebecca Raj, Tony Kurpad, Anura V Abstract 156: Nutrition therapy: Evaluating relevant interactions for therapeutic success |
title | Abstract 156: Nutrition therapy: Evaluating relevant interactions for therapeutic success |
title_full | Abstract 156: Nutrition therapy: Evaluating relevant interactions for therapeutic success |
title_fullStr | Abstract 156: Nutrition therapy: Evaluating relevant interactions for therapeutic success |
title_full_unstemmed | Abstract 156: Nutrition therapy: Evaluating relevant interactions for therapeutic success |
title_short | Abstract 156: Nutrition therapy: Evaluating relevant interactions for therapeutic success |
title_sort | abstract 156: nutrition therapy: evaluating relevant interactions for therapeutic success |
topic | Abstracts … Esicon 2021 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9067738/ http://dx.doi.org/10.4103/2230-8210.342281 |
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