Cross-validation of 20 anthropometric prediction equations for appendicular muscle mass in older Brazilian women: a cross-sectional study

• Autor(a) principal: Abdalla,Pedro Pugliesi
• Data de Publicação: 2022
• Outros Autores: Bohn,Lucimere, Santos,André Pereira dos, Silva,Leonardo Santos Lopes da, Júnior,Márcio Fernando Tasinafo, Venturini,Ana Claudia Rossini, Ramos,Nilo César, Marcos-Pardo,Pablo Jorge, Mota,Jorge, Machado,Dalmo Roberto Lopes
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Geriatrics, Gerontology and Aging (Online)
• Texto Completo: https://ggaging.com/details/1757
• topic: anthropometry, body composition, sarcopenia, geriatric assessment.

<p><b>OBJECTIVE:</b> To test the cross-validation of anthropometric prediction equations for appendicular muscle mass (AMM) in older Brazilian women.<br> <b>METHODS:</b> 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 &gt; 0.05), standard error of estimate (SEE &lt; 3.50 kg), and r² &gt; 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).<br> <b>RESULTS:</b> Four American equations and one Mexican equation were not statistically different from AMMDXA (p &gt; 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).<br> <b>CONCLUSION:</b> 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.</p>