Skeletal muscle mass obtained by anthropometric equation and presence of sarcopenia in postmenopausal women

Skeletal muscle mass obtained by anthropometric equation and presence of sarcopenia in postmenopausal women

To analyze the amount of muscle and the presence of sarcopenia in postmenopausal women using different methods, verifying the agreement between them as to skeletal muscle mass (SMM). This cross-sectional observational study was conducted with postmenopausal women aged ≥ 50 years. SMM was obtained fr...

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Bibliographic Details
Published in:Revista Brasileira de ginecologia e obstetrícia Vol. 46
Main Authors: Felipe, Thaís Loureiro, Grili, Patrícia Paula da Fonseca, Vidigal, Camila Vilarinho, Albergaria, Ben-Hur, da Cruz, Geise Ferreira, Marques-Rocha, José Luiz, Guandalini, Valdete Regina
Format: Journal Article
Language:English
Published: Brazil Federação Brasileira das Sociedades de Ginecologia e Obstetrícia 01-01-2024
Subjects:
Absorptiometry, Photon
Aged
Anthropometry
Bioelectrical impedance
Body composition
Cross-Sectional Studies
Electric Impedance
Female
Humans
Middle Aged
Muscle mass
Muscle, Skeletal - anatomy & histology
Muscle, Skeletal - diagnostic imaging
Obesity
OBSTETRICS & GYNECOLOGY
Original
Overweight
Postmenopause
Postmenopause - physiology
Sarcopenia
Sarcopenia - diagnosis
Sarcopenia - diagnostic imaging
Sarcopenia - epidemiology
Skeletal Muscle
Obesity
Sarcopenia
Skeletal Muscle
Anthropometry
Bioelectrical impedance
Postmenopause
Body composition
Muscle mass
Overweight
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Summary:To analyze the amount of muscle and the presence of sarcopenia in postmenopausal women using different methods, verifying the agreement between them as to skeletal muscle mass (SMM). This cross-sectional observational study was conducted with postmenopausal women aged ≥ 50 years. SMM was obtained from a predictive equation, Bioelectrical Impedance (BIA), and Dual Energy X-Ray Absorptiometry (DXA). The skeletal muscle mass index (SMI) and the appendicular skeletal muscle mass index (ASMI) were calculated. The cut-off point of SMI was determined for the population itself. The agreement between the SMI obtained using the different methods was verified. Sarcopenia was diagnosed according to the criteria proposed by the European Working Group on Sarcopenia in Older People 2 (EWGSOP2). The significance level adopted for all tests was 5.0%. A total of 112 women were evaluated, with an average age of 66.1 ± 5.65 years. Among them, 51.8% were sufficiently active and 43.8% were overweight and obese. The SMI cut-offs were 6.46 kg/m for the predictive equation and 7.66 kg/m for BIA, with high sensitivity and specificity. There was an excellent agreement in the identification of SMM by the predictive equation (0.89 [0.824-0.917], p < 0.001) and BIA (0.92 [0.883-0.945], p < 0.001), in reference to DXA. The prevalence of sarcopenia was 0.9%, 1.8%, and 2.7% according to BIA, DXA, and the predictive equation, respectively. The predictive equation showed the expected agreement in estimating skeletal muscle mass in postmenopausal women, offering a viable and accurate alternative.
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Conflicts to interest: none to declare.
Associate Editor Maria Celeste Osório Wender (https://orcid.org/0000-0001-9085-4605) Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
ISSN:0100-7203
1806-9339
1806-9339
DOI:10.61622/rbgo/2024AO09