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Development and validation of anthropometric equations to estimate appendicular muscle mass in elderly women

OBJECTIVE: This study aimed to examine the cross validity of two anthropometric equations commonly used and propose simple anthropometric equations to estimate appendicular muscle mass (AMM) in elderly women. METHODS: Among 234 physically active and functionally independent elderly women, 101 (60 to...

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Autores principales: Pereira, Piettra Moura Galvão, da Silva, Giselma Alcântara, Santos, Gilberto Moreira, Petroski, Edio Luiz, Geraldes, Amandio Aristides Rihan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3704962/
https://www.ncbi.nlm.nih.gov/pubmed/23815948
http://dx.doi.org/10.1186/1475-2891-12-92
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author Pereira, Piettra Moura Galvão
da Silva, Giselma Alcântara
Santos, Gilberto Moreira
Petroski, Edio Luiz
Geraldes, Amandio Aristides Rihan
author_facet Pereira, Piettra Moura Galvão
da Silva, Giselma Alcântara
Santos, Gilberto Moreira
Petroski, Edio Luiz
Geraldes, Amandio Aristides Rihan
author_sort Pereira, Piettra Moura Galvão
collection PubMed
description OBJECTIVE: This study aimed to examine the cross validity of two anthropometric equations commonly used and propose simple anthropometric equations to estimate appendicular muscle mass (AMM) in elderly women. METHODS: Among 234 physically active and functionally independent elderly women, 101 (60 to 89 years) were selected through simple drawing to compose the study sample. The paired t test and the Pearson correlation coefficient were used to perform cross-validation and concordance was verified by intraclass correction coefficient (ICC) and by the Bland and Altman technique. To propose predictive models, multiple linear regression analysis, anthropometric measures of body mass (BM), height, girth, skinfolds, body mass index (BMI) were used, and muscle perimeters were included in the analysis as independent variables. Dual-Energy X-ray Absorptiometry (AMM(DXA)) was used as criterion measurement. The sample power calculations were carried out by Post Hoc Compute Achieved Power. Sample power values from 0.88 to 0.91 were observed. RESULTS: When compared, the two equations tested differed significantly from the AMM(DXA) (p <0.001 and p = 0.001). Ten population / specific anthropometric equations were developed to estimate AMM, among them, three equations achieved all validation criteria used: AMM ((E2)) = 4.150 +0.251 [bodymass (BM)] - 0.411 [bodymass index (BMI)] + 0.011 [Right forearm perimeter (PANTd) (2)]; AMM ((E3)) = 4.087 + 0.255 (BM) - 0.371 (BMI) + 0.011 (PANTd) (2) - 0.035 [thigh skinfold (DCCO)]; MMA ((E6)) = 2.855 + 0.298 (BM) + 0.019 (Age) - 0,082 [hip circumference (PQUAD)] + 0.400 (PANTd) - 0.332 (BMI). The equations estimated the criterion method (p = 0.056 p = 0.158), and explained from 0.69% to 0.74% of variations observed in AMM(DXA) with low standard errors of the estimate (1.36 to 1.55 kg) and high concordance (ICC between 0,90 and 0.91 and concordance limits from -2,93 to 2,33 kg). CONCLUSION: The equations tested were not valid for use in physically active and functionally independent elderly women. The simple anthropometric equations developed in this study showed good practical applicability and high validity to estimate AMM in elderly women.
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spelling pubmed-37049622013-07-10 Development and validation of anthropometric equations to estimate appendicular muscle mass in elderly women Pereira, Piettra Moura Galvão da Silva, Giselma Alcântara Santos, Gilberto Moreira Petroski, Edio Luiz Geraldes, Amandio Aristides Rihan Nutr J Research OBJECTIVE: This study aimed to examine the cross validity of two anthropometric equations commonly used and propose simple anthropometric equations to estimate appendicular muscle mass (AMM) in elderly women. METHODS: Among 234 physically active and functionally independent elderly women, 101 (60 to 89 years) were selected through simple drawing to compose the study sample. The paired t test and the Pearson correlation coefficient were used to perform cross-validation and concordance was verified by intraclass correction coefficient (ICC) and by the Bland and Altman technique. To propose predictive models, multiple linear regression analysis, anthropometric measures of body mass (BM), height, girth, skinfolds, body mass index (BMI) were used, and muscle perimeters were included in the analysis as independent variables. Dual-Energy X-ray Absorptiometry (AMM(DXA)) was used as criterion measurement. The sample power calculations were carried out by Post Hoc Compute Achieved Power. Sample power values from 0.88 to 0.91 were observed. RESULTS: When compared, the two equations tested differed significantly from the AMM(DXA) (p <0.001 and p = 0.001). Ten population / specific anthropometric equations were developed to estimate AMM, among them, three equations achieved all validation criteria used: AMM ((E2)) = 4.150 +0.251 [bodymass (BM)] - 0.411 [bodymass index (BMI)] + 0.011 [Right forearm perimeter (PANTd) (2)]; AMM ((E3)) = 4.087 + 0.255 (BM) - 0.371 (BMI) + 0.011 (PANTd) (2) - 0.035 [thigh skinfold (DCCO)]; MMA ((E6)) = 2.855 + 0.298 (BM) + 0.019 (Age) - 0,082 [hip circumference (PQUAD)] + 0.400 (PANTd) - 0.332 (BMI). The equations estimated the criterion method (p = 0.056 p = 0.158), and explained from 0.69% to 0.74% of variations observed in AMM(DXA) with low standard errors of the estimate (1.36 to 1.55 kg) and high concordance (ICC between 0,90 and 0.91 and concordance limits from -2,93 to 2,33 kg). CONCLUSION: The equations tested were not valid for use in physically active and functionally independent elderly women. The simple anthropometric equations developed in this study showed good practical applicability and high validity to estimate AMM in elderly women. BioMed Central 2013-07-02 /pmc/articles/PMC3704962/ /pubmed/23815948 http://dx.doi.org/10.1186/1475-2891-12-92 Text en Copyright © 2013 Pereira et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Pereira, Piettra Moura Galvão
da Silva, Giselma Alcântara
Santos, Gilberto Moreira
Petroski, Edio Luiz
Geraldes, Amandio Aristides Rihan
Development and validation of anthropometric equations to estimate appendicular muscle mass in elderly women
title Development and validation of anthropometric equations to estimate appendicular muscle mass in elderly women
title_full Development and validation of anthropometric equations to estimate appendicular muscle mass in elderly women
title_fullStr Development and validation of anthropometric equations to estimate appendicular muscle mass in elderly women
title_full_unstemmed Development and validation of anthropometric equations to estimate appendicular muscle mass in elderly women
title_short Development and validation of anthropometric equations to estimate appendicular muscle mass in elderly women
title_sort development and validation of anthropometric equations to estimate appendicular muscle mass in elderly women
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3704962/
https://www.ncbi.nlm.nih.gov/pubmed/23815948
http://dx.doi.org/10.1186/1475-2891-12-92
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