Cut-off points of appendicular lean soft tissue for identifying sarcopenia in older adults in Brazil: a cross-sectional study

Abdalla, Pedro Pugliesi; Silva, Analiza M.; Venturini, Ana Cláudia Rossini; Santos, André Pereira dos; Carvalho, Anderson dos Santos; Siqueira, Vitor Antonio Assis Alves; Gomide, Eurípedes Barsanulfo Gonçalves; Alves, Natália Maíra da Cruz; Ferriolli, Eduardo; Machado, Dalmo Roberto Lopes

doi:10.20960/nh.02951

Cited by 4 publications

(6 citation statements)

References 34 publications

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“…The calibration and measurements were following the manufacturer's instructions and were always carried out by the same technician. The examination was performed according to standardized procedures previously informed [ 28 , 29 ]. The DXA measurements included absolute and relative values (ALST and ALST%; FM and FM%; BMC and BMC%).…”

Section: Methodsmentioning

confidence: 99%

Association between classic and specific bioimpedance vector analysis and sarcopenia in older adults: a cross-sectional study

Rossini-Venturini

Abdalla

Fassini

et al. 2022

BMC Sports Sci Med Rehabil

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Background To verify (1) the association between classic and specific bioelectrical impedance vector analysis (BIVA) with body composition, hydration, and physical performance in older adults with and without sarcopenia; (2) which BIVA most accurately distinguishes sarcopenia. Methods A sample of 94 older adults with and without sarcopenia (29 men and 65 women, 60–85 years) was evaluated. The classic and specific BIVA procedures, Dual energy X-ray absorptiometry (DXA), and deuterium dilution were performed. Sarcopenia was defined by muscle weakness and low skeletal muscle index, while severity was indicated by low physical performance. Results The BIVA's potential to monitor hydration and muscle mass loss in older adults seems feasible. Classic and specific BIVA were able to distinguish sarcopenia in women (p < 0.001), but not in men. When the sarcopenia criteria were individually analyzed, both classic and specific BIVA were able to distinguish low skeletal muscle index in women, while only classic BIVA did for men. For the criterion of slow physical performance, only the classic BIVA showed severity differences for women. The vectors of adults without sarcopenia of both sexes tended to be positioned in the left region of the ellipses, revealing a predominance of soft tissues. Conclusions Classic BIVA has a distinct sarcopenic association with body composition, hydration, and physical performance in older adults, while specific BIVA was similar between groups. Both BIVAs are sensible to detect female morphological changes (skeletal muscle index) but not for functional (handgrip, 6-min walk test) sarcopenia criteria. These procedures are promising tools for monitoring sarcopenia risks during aging.

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Section: Methodsmentioning

confidence: 99%

Association between classic and specific bioimpedance vector analysis and sarcopenia in older adults: a cross-sectional study

Rossini-Venturini

Abdalla

Fassini

et al. 2022

BMC Sports Sci Med Rehabil

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“…The ratio between ASM and height squared (ASM index) was used to identify reduced SMM. The cutoff points adopted were ≤6.56 kg/m 2 for men and ≤4.67 kg/m 2 for women (Abdalla et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

“…In assessing the body composition of PWH, cutoff points for identifying reduced SMM through DXA-obtained measures of appendicular lean mass as an estimate of appendicular skeletal muscle mass (ASM) have been previously proposed (Abdalla et al, 2020; Cruz-Jentoft et al, 2010; Cruz-Jentoft & Sayer, 2019; Lorente Ramos et al, 2012). However, the use of DXA for the measurement of body composition is not routinely available in many clinical settings because of the lack of equipment and its costs.…”

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confidence: 99%

Appendicular Skeletal Muscle Mass Prediction in People Living With HIV: A Cross-sectional Study

Santos¹,

Navarro²,

Silva³

et al. 2023

J Assoc Nurses AIDS Care

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People living with HIV (PWH) experience an accelerated aging process. There is no anthropometric predictive model for appendicular skeletal muscle mass (ASM) in PWH. This study develops anthropometric models to predict and validate ASM measured by dual energy x-ray absorptiometry (DXA) in PWH; DXA scans were obtained for 125 PWH (male = 74; age >18 years) on antiretroviral therapy. Fat mass ratio was used for lipodystrophy diagnosis. A multiple stepwise linear regression considered ASMDXA as the dependent variable and validated by PRESS method. A high power of determination and low standard estimate error were found for ASMDXA-predicted (adjusted r2 = 0.84 to 0.87, standard estimate error = 1.7–1.6 kg) and high PRESS validation coefficients (Q2PRESS = 0.84–0.86, SPRESS = 1.7–1.6 kg). The variables included were lipodystrophy diagnosis, medial calf circumference, sex, and total body weight. We present novel, reliable, and validated anthropometric models to predict ASMDXA in PWH.

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“…However, BC assessment with sophisticated equipment such as DXA is restricted to speci c professionals, requiring a specialized structure. Then, why anthropometric measurements are simple and with a low cost associated (49), their use has been presented as valid alternatives for estimating BC in a multicompartmental approach in children and adolescents of both sexes (50,51), sarcopenia risks (39,52) lipodystrophy of seropositive patients (37,53) and muscle loses in older adults (54). Accordingly, this proposal may also be viable for older adults, as long as it is a practical, simple and non-invasive tool.…”

mentioning

confidence: 99%

“…Moreover, the ALST is a consensual parameter for SMM among agencies. It is equivalent to muscle tissue in arms and legs, except for a small amount of connective tissue and skin (39).…”

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confidence: 99%

Multicompartment body composition analysis in older adults: a cross-sectional study

Rossini-Venturini

Veras

Abdalla

et al. 2022

Preprint

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Background: During aging, changes occur in the proportions of muscle, fat, and bone. The body composition (BC) alterations have a great impact on health, quality of life, and functional capacity. Several equations to predict BC using anthropometric measurements have been developed from a bi-compartmental (2-C) approach that determines only fat mass (FM) and fat-free mass (FFM). However, these models have several limitations, when considering constant density, progressive bone demineralization, and changes in the hydration of the FFM, as typical changes during senescence. Thus, the main purpose of this study was to propose and validate a new multi-compartmental anthropometric model to predict fat, bone, and musculature components in older adults of both sexes.Methods: This cross-sectional study included 100 older adults of both sexes. To determine the dependent variables (fat mass [FM], bone mineral content [BMC], and appendicular lean soft tissue [ALST]) whole total and regional DXA body scans were performed. Twenty-nine anthropometric measures and sex were appointed as independent variables. Models were developed through multivariate linear regression. Finally, the predicted residual error sum of squares (PRESS) statistic was used to measure the effectiveness of the predicted value for each dependent variable.Results: An equation was developed to simultaneously predict FM, BMC, and ALST from only four variables: weight, half arm span (HAS), triceps skinfold (TriSK), and sex. This model showed high coefficients of determination and low estimation errors (FM: R2adj: 0.83 and SEE: 3.16; BMC: R2adj: 0.61 and SEE: 0.30; ALST: R2adj: 0.85 and SEE: 1.65). Conclusion: The equations provide a reliable, practical, and low-cost instrument to monitor changes in body components during the aging process. The internal cross-validation method PRESS presented sufficient reliability in the model as an inexpensive alternative for clinical field use.

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Cut-off points of appendicular lean soft tissue for identifying sarcopenia in older adults in Brazil: a cross-sectional study

Cited by 4 publications

References 34 publications

Association between classic and specific bioimpedance vector analysis and sarcopenia in older adults: a cross-sectional study

Association between classic and specific bioimpedance vector analysis and sarcopenia in older adults: a cross-sectional study

Appendicular Skeletal Muscle Mass Prediction in People Living With HIV: A Cross-sectional Study

Multicompartment body composition analysis in older adults: a cross-sectional study

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