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Muscle distribution in relation to all-cause and cause-specific mortality in young and middle-aged adults
BACKGROUND: The relationship between muscle and prognosis, especially that between muscle distribution across different body parts, and the related prognosis is not well established. OBJECTIVE: To investigate the relationship between muscle distribution and all-cause and cause-specific mortality and...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960213/ https://www.ncbi.nlm.nih.gov/pubmed/36841788 http://dx.doi.org/10.1186/s12967-023-04008-7 |
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author | Liu, Chen-An Liu, Tong Ge, Yi-Zhong Song, Meng-Meng Ruan, Guo-Tian Lin, Shi-Qi Xie, Hai-Lun Shi, Jin-Yu Zheng, Xin Chen, Yue Shen, Liuyi Deng, Li Shi, Han-Ping |
author_facet | Liu, Chen-An Liu, Tong Ge, Yi-Zhong Song, Meng-Meng Ruan, Guo-Tian Lin, Shi-Qi Xie, Hai-Lun Shi, Jin-Yu Zheng, Xin Chen, Yue Shen, Liuyi Deng, Li Shi, Han-Ping |
author_sort | Liu, Chen-An |
collection | PubMed |
description | BACKGROUND: The relationship between muscle and prognosis, especially that between muscle distribution across different body parts, and the related prognosis is not well established. OBJECTIVE: To investigate the relationship between muscle distribution and all-cause and cause-specific mortality and their potential modifiers. DESIGN: Longitudinal cohort study. C-index, IDI, and NRI were used to determine the best indicator of prognosis. COX regression analysis was performed to explore the relationship between variables and outcomes. Interaction and subgroup analyses were applied to identify the potential modifiers. PARTICIPANTS: A total of 5052 participants (weighted: 124,841,420) extracted from the NHANES 2003–2006 of median age 45 years and constituting 50.3% men were assessed. For validation, we included 3040 patients from the INSCOC cohort in China. MAIN MEASURES: Muscle mass and distribution. KEY RESULTS: COX regression analysis revealed that upper limbs (HR = 0.41, 95% CI 0.33–0.51), lower limbs (HR = 0.54, 95% CI 0.47–0.64), trunk (HR = 0.71, 95% CI, 0.59–0.85), gynoid (HR = 0.47, 95% CI 0.38–0.58), and total lean mass (HR = 0.55, 95% CI 0.45–0.66) were all associated with the better survival of participants (P (trend) < 0.001). The changes in the lean mass ratio of the upper and lower limbs and the lean mass ratio of the android and gynoid attenuated the protective effect of lean mass. Age and sex acted as potential modifiers, and the relationship between lean mass and the prognosis was more significant in men and middle-aged participants when compared to that in other age groups. Sensitive analyses depicted that despite lean mass having a long-term impact on prognosis (15 years), it has a more substantial effect on near-term survival (5 years). CONCLUSION: Muscle mass and its distribution affect the prognosis with a more significant impact on the near-term than that on the long-term prognosis. Age and sex acted as vital modifiers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04008-7. |
format | Online Article Text |
id | pubmed-9960213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99602132023-02-26 Muscle distribution in relation to all-cause and cause-specific mortality in young and middle-aged adults Liu, Chen-An Liu, Tong Ge, Yi-Zhong Song, Meng-Meng Ruan, Guo-Tian Lin, Shi-Qi Xie, Hai-Lun Shi, Jin-Yu Zheng, Xin Chen, Yue Shen, Liuyi Deng, Li Shi, Han-Ping J Transl Med Research BACKGROUND: The relationship between muscle and prognosis, especially that between muscle distribution across different body parts, and the related prognosis is not well established. OBJECTIVE: To investigate the relationship between muscle distribution and all-cause and cause-specific mortality and their potential modifiers. DESIGN: Longitudinal cohort study. C-index, IDI, and NRI were used to determine the best indicator of prognosis. COX regression analysis was performed to explore the relationship between variables and outcomes. Interaction and subgroup analyses were applied to identify the potential modifiers. PARTICIPANTS: A total of 5052 participants (weighted: 124,841,420) extracted from the NHANES 2003–2006 of median age 45 years and constituting 50.3% men were assessed. For validation, we included 3040 patients from the INSCOC cohort in China. MAIN MEASURES: Muscle mass and distribution. KEY RESULTS: COX regression analysis revealed that upper limbs (HR = 0.41, 95% CI 0.33–0.51), lower limbs (HR = 0.54, 95% CI 0.47–0.64), trunk (HR = 0.71, 95% CI, 0.59–0.85), gynoid (HR = 0.47, 95% CI 0.38–0.58), and total lean mass (HR = 0.55, 95% CI 0.45–0.66) were all associated with the better survival of participants (P (trend) < 0.001). The changes in the lean mass ratio of the upper and lower limbs and the lean mass ratio of the android and gynoid attenuated the protective effect of lean mass. Age and sex acted as potential modifiers, and the relationship between lean mass and the prognosis was more significant in men and middle-aged participants when compared to that in other age groups. Sensitive analyses depicted that despite lean mass having a long-term impact on prognosis (15 years), it has a more substantial effect on near-term survival (5 years). CONCLUSION: Muscle mass and its distribution affect the prognosis with a more significant impact on the near-term than that on the long-term prognosis. Age and sex acted as vital modifiers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04008-7. BioMed Central 2023-02-25 /pmc/articles/PMC9960213/ /pubmed/36841788 http://dx.doi.org/10.1186/s12967-023-04008-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Liu, Chen-An Liu, Tong Ge, Yi-Zhong Song, Meng-Meng Ruan, Guo-Tian Lin, Shi-Qi Xie, Hai-Lun Shi, Jin-Yu Zheng, Xin Chen, Yue Shen, Liuyi Deng, Li Shi, Han-Ping Muscle distribution in relation to all-cause and cause-specific mortality in young and middle-aged adults |
title | Muscle distribution in relation to all-cause and cause-specific mortality in young and middle-aged adults |
title_full | Muscle distribution in relation to all-cause and cause-specific mortality in young and middle-aged adults |
title_fullStr | Muscle distribution in relation to all-cause and cause-specific mortality in young and middle-aged adults |
title_full_unstemmed | Muscle distribution in relation to all-cause and cause-specific mortality in young and middle-aged adults |
title_short | Muscle distribution in relation to all-cause and cause-specific mortality in young and middle-aged adults |
title_sort | muscle distribution in relation to all-cause and cause-specific mortality in young and middle-aged adults |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960213/ https://www.ncbi.nlm.nih.gov/pubmed/36841788 http://dx.doi.org/10.1186/s12967-023-04008-7 |
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