Cross-validation of 20 anthropometric prediction equations for appendicular muscle mass in older Brazilian women: a cross-sectional study
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| Format: | Artículo científico |
| Sprache: | en |
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Sociedade Brasileira de Geriatria e Gerontologia
2022
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| _version_ | 1876471284421885952 |
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| author | Pedro Pugliesi Abdalla |
| author_facet | Pedro Pugliesi Abdalla |
| contents | Cross-validation of 20 anthropometric prediction equations for appendicular muscle mass in older Brazilian women: a cross-sectional study Pedro Pugliesi Abdalla Lucimere Bohn André Pereira dos Santos Leonardo Santos Lopes da Silva Márcio Fernando Tasinafo Júnior Ana Claudia Rossini Venturini Nilo César Ramos Pablo Jorge Marcos-Pardo Jorge Mota Dalmo Roberto Lopes Machado Multidisciplinaria (Ciencias Naturales y Exactas) sarcopenia Anthropometry body composition geriatric assessment Objective: To test the cross-validation of anthropometric prediction equations for appendicular muscle mass (AMM) in older Brazilian women. Methods: Sixty-seven older women (69.84 ± 5.95 years old) underwent anthropometric measurements. AMM (kg) reference values obtained by dual-energy X-ray absorptiometry (AMMDXA) were compared to 20 anthropometric equations for estimating AMM in older adults. A paired t-test (p > 0.05), standard error of estimate (SEE < 3.50 kg), and r2 > 0.70 confirmed the validity of the equations. The agreement between predictions and the reference was also verified (Bland-Altman analysis of agreement between methods). Results: Four American equations and one Mexican equation were not statistically different from AMMDXA (p > 0.05) but did not present suitable r2 values for validation. The American equation from the National Health and Nutrition Examination Survey (NHANES), AMM (kg) = (-0.04 × age [years]) + (0.46 × calf circumference [cm]) + (0.32 × arm circumference [cm]) + (0.11 × thigh circumference [cm]) – (0.27 × body mass index [BMI, kg/m2 ]) + (0.07 × waist circumference [cm]) – 13 119 showed the best performance (r2 = 0.64; SEE = 3.24 kg), with minimal mean difference (0.26 kg), no heteroscedasticity for extreme values, and with high agreement with the Brazilian sample (-3.90 to 3.40 kg). Conclusion: When specific equations for a given population are not available, the use of generic equations of greater sample representativeness with scientifically and reliably analyzed data is allowed. 2022 otro 2447-2115 https://www.redalyc.org/articulo.oa?id=739780783030 en http://www.redalyc.org/revista.oa?id=7397 Geriatrics, Gerontology and Aging application/pdf Sociedade Brasileira de Geriatria e Gerontologia Geriatrics, Gerontology and Aging (Brasil) Num.1 Vol.16 |
| format | Artículo científico |
| id | redalyc_739780783030 |
| institution | Redalyc |
| language | en |
| publishDate | 2022 |
| publisher | Sociedade Brasileira de Geriatria e Gerontologia |
| spellingShingle | Cross-validation of 20 anthropometric prediction equations for appendicular muscle mass in older Brazilian women: a cross-sectional study Pedro Pugliesi Abdalla Multidisciplinaria (Ciencias Naturales y Exactas) sarcopenia Anthropometry body composition geriatric assessment Cross-validation of 20 anthropometric prediction equations for appendicular muscle mass in older Brazilian women: a cross-sectional study Pedro Pugliesi Abdalla Lucimere Bohn André Pereira dos Santos Leonardo Santos Lopes da Silva Márcio Fernando Tasinafo Júnior Ana Claudia Rossini Venturini Nilo César Ramos Pablo Jorge Marcos-Pardo Jorge Mota Dalmo Roberto Lopes Machado Multidisciplinaria (Ciencias Naturales y Exactas) sarcopenia Anthropometry body composition geriatric assessment Objective: To test the cross-validation of anthropometric prediction equations for appendicular muscle mass (AMM) in older Brazilian women. Methods: Sixty-seven older women (69.84 ± 5.95 years old) underwent anthropometric measurements. AMM (kg) reference values obtained by dual-energy X-ray absorptiometry (AMMDXA) were compared to 20 anthropometric equations for estimating AMM in older adults. A paired t-test (p > 0.05), standard error of estimate (SEE < 3.50 kg), and r2 > 0.70 confirmed the validity of the equations. The agreement between predictions and the reference was also verified (Bland-Altman analysis of agreement between methods). Results: Four American equations and one Mexican equation were not statistically different from AMMDXA (p > 0.05) but did not present suitable r2 values for validation. The American equation from the National Health and Nutrition Examination Survey (NHANES), AMM (kg) = (-0.04 × age [years]) + (0.46 × calf circumference [cm]) + (0.32 × arm circumference [cm]) + (0.11 × thigh circumference [cm]) – (0.27 × body mass index [BMI, kg/m2 ]) + (0.07 × waist circumference [cm]) – 13 119 showed the best performance (r2 = 0.64; SEE = 3.24 kg), with minimal mean difference (0.26 kg), no heteroscedasticity for extreme values, and with high agreement with the Brazilian sample (-3.90 to 3.40 kg). Conclusion: When specific equations for a given population are not available, the use of generic equations of greater sample representativeness with scientifically and reliably analyzed data is allowed. 2022 otro 2447-2115 https://www.redalyc.org/articulo.oa?id=739780783030 en http://www.redalyc.org/revista.oa?id=7397 Geriatrics, Gerontology and Aging application/pdf Sociedade Brasileira de Geriatria e Gerontologia Geriatrics, Gerontology and Aging (Brasil) Num.1 Vol.16 |
| title | Cross-validation of 20 anthropometric prediction equations for appendicular muscle mass in older Brazilian women: a cross-sectional study |
| topic | Multidisciplinaria (Ciencias Naturales y Exactas) sarcopenia Anthropometry body composition geriatric assessment |
| url | https://www.redalyc.org/articulo.oa?id=739780783030 |