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Trends in measuring BMR and RMR after spinal cord injury: a comprehensive review
Studying factors that contribute to our understanding of maintaining normal energy balance are of paramount significance following spinal cord injury (SCI). Accurate determination of energy needs is crucial for providing nutritional guidance and managing the increasing prevalence of malnutrition or...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587382/ https://www.ncbi.nlm.nih.gov/pubmed/37092679 http://dx.doi.org/10.1017/S0007114523000831 |
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author | Alazzam, Ahmad M. Alrubaye, Malak W. Goldsmith, Jacob A. Gorgey, Ashraf S. |
author_facet | Alazzam, Ahmad M. Alrubaye, Malak W. Goldsmith, Jacob A. Gorgey, Ashraf S. |
author_sort | Alazzam, Ahmad M. |
collection | PubMed |
description | Studying factors that contribute to our understanding of maintaining normal energy balance are of paramount significance following spinal cord injury (SCI). Accurate determination of energy needs is crucial for providing nutritional guidance and managing the increasing prevalence of malnutrition or obesity after SCI. BMR represents 75–80 % of the total energy expenditure in persons with SCI. Accurately measuring BMR is an important component for calculating total energetic needs in this population. Indirect calorimetry is considered the gold-standard technique for measuring BMR. However, technical challenges may limit its applications in large cohort studies and alternatively rely on prediction equations. Previous work has shown that BMR changes in response to disuse and exercise in the range of 15–120 %. Factors including sex, level of injury and type of assistive devices may influence BMR after SCI. RMR is erroneously used interchangeably for BMR, which may result in overestimation of energetic intake when developing nutritional plans. To address this concern, we comprehensively reviewed studies that conducted BMR (n=15) and RMR (n=22) in persons with SCI. The results indicated that RMR is 9 % greater than BMR in persons with SCI. Furthermore, the SCI-specific prediction equations that incorporated measures of fat-free mass appeared to accurately predict BMR. Overall, the current findings highlighted the significance of measuring BMR as well as encouraging the research and clinical community to effectively establish countermeasures to combat obesity after SCI. |
format | Online Article Text |
id | pubmed-10587382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105873822023-10-21 Trends in measuring BMR and RMR after spinal cord injury: a comprehensive review Alazzam, Ahmad M. Alrubaye, Malak W. Goldsmith, Jacob A. Gorgey, Ashraf S. Br J Nutr Review Studying factors that contribute to our understanding of maintaining normal energy balance are of paramount significance following spinal cord injury (SCI). Accurate determination of energy needs is crucial for providing nutritional guidance and managing the increasing prevalence of malnutrition or obesity after SCI. BMR represents 75–80 % of the total energy expenditure in persons with SCI. Accurately measuring BMR is an important component for calculating total energetic needs in this population. Indirect calorimetry is considered the gold-standard technique for measuring BMR. However, technical challenges may limit its applications in large cohort studies and alternatively rely on prediction equations. Previous work has shown that BMR changes in response to disuse and exercise in the range of 15–120 %. Factors including sex, level of injury and type of assistive devices may influence BMR after SCI. RMR is erroneously used interchangeably for BMR, which may result in overestimation of energetic intake when developing nutritional plans. To address this concern, we comprehensively reviewed studies that conducted BMR (n=15) and RMR (n=22) in persons with SCI. The results indicated that RMR is 9 % greater than BMR in persons with SCI. Furthermore, the SCI-specific prediction equations that incorporated measures of fat-free mass appeared to accurately predict BMR. Overall, the current findings highlighted the significance of measuring BMR as well as encouraging the research and clinical community to effectively establish countermeasures to combat obesity after SCI. Cambridge University Press 2023-11-28 2023-04-24 /pmc/articles/PMC10587382/ /pubmed/37092679 http://dx.doi.org/10.1017/S0007114523000831 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Review Alazzam, Ahmad M. Alrubaye, Malak W. Goldsmith, Jacob A. Gorgey, Ashraf S. Trends in measuring BMR and RMR after spinal cord injury: a comprehensive review |
title | Trends in measuring BMR and RMR after spinal cord injury: a comprehensive review |
title_full | Trends in measuring BMR and RMR after spinal cord injury: a comprehensive review |
title_fullStr | Trends in measuring BMR and RMR after spinal cord injury: a comprehensive review |
title_full_unstemmed | Trends in measuring BMR and RMR after spinal cord injury: a comprehensive review |
title_short | Trends in measuring BMR and RMR after spinal cord injury: a comprehensive review |
title_sort | trends in measuring bmr and rmr after spinal cord injury: a comprehensive review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587382/ https://www.ncbi.nlm.nih.gov/pubmed/37092679 http://dx.doi.org/10.1017/S0007114523000831 |
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