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Concordance between appendicular skeletal muscle mass measured with DXA and estimated with mathematical models in middle-aged women
BACKGROUND: Appendicular skeletal muscle mass (ASMM) is a measure of body muscle content, and it correlates with nutrition and physical status. Estimation of ASMM using anthropometric models is a well-established strategy to overcome issues related to the restricted availability of sophisticated tec...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069740/ https://www.ncbi.nlm.nih.gov/pubmed/30064499 http://dx.doi.org/10.1186/s40101-018-0179-5 |
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author | Rathnayake, Nirmala Alwis, Gayani Lenora, Janaka Lekamwasam, Sarath |
author_facet | Rathnayake, Nirmala Alwis, Gayani Lenora, Janaka Lekamwasam, Sarath |
author_sort | Rathnayake, Nirmala |
collection | PubMed |
description | BACKGROUND: Appendicular skeletal muscle mass (ASMM) is a measure of body muscle content, and it correlates with nutrition and physical status. Estimation of ASMM using anthropometric models is a well-established strategy to overcome issues related to the restricted availability of sophisticated techniques in measuring ASMM. This study aimed to assess the validity of four selected anthropometric models in estimating ASMM in middle-aged women in Sri Lanka. METHODS: A group of women (n = 165) aged 30–60 years underwent a series of anthropometric measurements such as body weight, height, circumferences, and skin fold thickness at specific sites. The limb circumferences were corrected for subcutaneous adipose tissue thickness. Two models developed by Lee et al. (ASM 1, ASM2) and two models developed by Wen et al. (ASM3, ASM4) were validated using ASMM measured by dual energy x-ray absorptiometry (ASMM(DXA)) as the reference standard. RESULTS: Mean (SD) age of the study group was 49.0 (8.2) years. Mean (SD) ASMM(DXA) and ASMM estimated by the four models were ASMM(DXA) = 15.39 (2.75) kg, ASM1 = 18.36 (3.27) kg, ASM2 = 16.46 (3.01) kg, ASM3 = 15.44 (2.40) kg, and ASM4 = 14.44 (2.45) kg. Correlations of ASMM(DXA) with ASMM estimated by the models were as follows: ASM1, r = 0.68, R(2) = 0.46, SEE = 2.02 kg; ASM2, r = 0.90, R(2) = 0.81, SEE = 1.18 kg; ASM3, r = 0.90, R(2) = 0.81, SEE = 1.17 kg; and ASM4, r = 0.91, R(2) = 0.82, SEE = 1.14 kg. ASMM estimated by ASM3 was not significantly different (P > 0.05) from ASMM(DXA) with mean difference of − 0.05 (range, 0.12 to − 0.23). Bland and Altman plot revealed satisfactory measurement agreements between ASM3 and ASMM(DXA). The ASMM estimated by the other three models was significantly different from the ASMM(DXA) (P < 0.05). CONCLUSION: The ASM3 model introduced by Wen et al. met all validation criteria and can be recommended for the estimation of ASMM in middle-aged women in Sri Lanka. |
format | Online Article Text |
id | pubmed-6069740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60697402018-08-03 Concordance between appendicular skeletal muscle mass measured with DXA and estimated with mathematical models in middle-aged women Rathnayake, Nirmala Alwis, Gayani Lenora, Janaka Lekamwasam, Sarath J Physiol Anthropol Original Article BACKGROUND: Appendicular skeletal muscle mass (ASMM) is a measure of body muscle content, and it correlates with nutrition and physical status. Estimation of ASMM using anthropometric models is a well-established strategy to overcome issues related to the restricted availability of sophisticated techniques in measuring ASMM. This study aimed to assess the validity of four selected anthropometric models in estimating ASMM in middle-aged women in Sri Lanka. METHODS: A group of women (n = 165) aged 30–60 years underwent a series of anthropometric measurements such as body weight, height, circumferences, and skin fold thickness at specific sites. The limb circumferences were corrected for subcutaneous adipose tissue thickness. Two models developed by Lee et al. (ASM 1, ASM2) and two models developed by Wen et al. (ASM3, ASM4) were validated using ASMM measured by dual energy x-ray absorptiometry (ASMM(DXA)) as the reference standard. RESULTS: Mean (SD) age of the study group was 49.0 (8.2) years. Mean (SD) ASMM(DXA) and ASMM estimated by the four models were ASMM(DXA) = 15.39 (2.75) kg, ASM1 = 18.36 (3.27) kg, ASM2 = 16.46 (3.01) kg, ASM3 = 15.44 (2.40) kg, and ASM4 = 14.44 (2.45) kg. Correlations of ASMM(DXA) with ASMM estimated by the models were as follows: ASM1, r = 0.68, R(2) = 0.46, SEE = 2.02 kg; ASM2, r = 0.90, R(2) = 0.81, SEE = 1.18 kg; ASM3, r = 0.90, R(2) = 0.81, SEE = 1.17 kg; and ASM4, r = 0.91, R(2) = 0.82, SEE = 1.14 kg. ASMM estimated by ASM3 was not significantly different (P > 0.05) from ASMM(DXA) with mean difference of − 0.05 (range, 0.12 to − 0.23). Bland and Altman plot revealed satisfactory measurement agreements between ASM3 and ASMM(DXA). The ASMM estimated by the other three models was significantly different from the ASMM(DXA) (P < 0.05). CONCLUSION: The ASM3 model introduced by Wen et al. met all validation criteria and can be recommended for the estimation of ASMM in middle-aged women in Sri Lanka. BioMed Central 2018-07-31 /pmc/articles/PMC6069740/ /pubmed/30064499 http://dx.doi.org/10.1186/s40101-018-0179-5 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Original Article Rathnayake, Nirmala Alwis, Gayani Lenora, Janaka Lekamwasam, Sarath Concordance between appendicular skeletal muscle mass measured with DXA and estimated with mathematical models in middle-aged women |
title | Concordance between appendicular skeletal muscle mass measured with DXA and estimated with mathematical models in middle-aged women |
title_full | Concordance between appendicular skeletal muscle mass measured with DXA and estimated with mathematical models in middle-aged women |
title_fullStr | Concordance between appendicular skeletal muscle mass measured with DXA and estimated with mathematical models in middle-aged women |
title_full_unstemmed | Concordance between appendicular skeletal muscle mass measured with DXA and estimated with mathematical models in middle-aged women |
title_short | Concordance between appendicular skeletal muscle mass measured with DXA and estimated with mathematical models in middle-aged women |
title_sort | concordance between appendicular skeletal muscle mass measured with dxa and estimated with mathematical models in middle-aged women |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069740/ https://www.ncbi.nlm.nih.gov/pubmed/30064499 http://dx.doi.org/10.1186/s40101-018-0179-5 |
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