Predictive equation for assessing appendicular lean soft tissue mass using bioelectric impedance analysis in older adults: Effect of body fat distribution

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversity of Bologna-
Autor(es): dc.contributorCIDEFES -Universidade Lusófona-
Autor(es): dc.contributorIngrediente Métrico S.A.-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorToselli, S.-
Autor(es): dc.creatorCampa, F.-
Autor(es): dc.creatorMatias, C. N.-
Autor(es): dc.creatorde Alencar Silva, Bruna Spolador [UNESP]-
Autor(es): dc.creatordos Santos, Vanessa Ribeiro [UNESP]-
Autor(es): dc.creatorMaietta Latessa, P.-
Autor(es): dc.creatorGobbo, L. A. [UNESP]-
Data de aceite: dc.date.accessioned2022-08-04T22:09:38Z-
Data de disponibilização: dc.date.available2022-08-04T22:09:38Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2021-07-15-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.exger.2021.111393-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/221736-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/221736-
Descrição: dc.descriptionBackground: Low muscle mass is associated with sarcopenia and increased mortality. Muscle mass, especially that of the limbs, is commonly estimated by dual-energy X-ray absorptiometry (DXA) or bioimpedance analysis (BIA). However, BIA-based predictive equations for estimating lean appendicular soft tissue mass (ALST) do not take into account body fat distribution, an important factor influencing DXA and BIA measurements. Objectives: To develop and cross-validate a BIA-based equation for estimating ALST with DXA as criterion, and to compare our new formula to three previously published models. Methods: One-hundred eighty-four older adults (140 women and 44 men) (age 71.5 ± 7.3 years, body mass index 27.9 ± 5.3 kg/m2) were recruited. Participants were randomly split into validation (n = 118) and cross-validation groups (n = 66). Bioelectrical resistance was obtained with a phase-sensitive 50 kHz BIA device. Results: A BIA-based model was developed for appendicular lean soft tissue mass [ALST (kg) = 5.982 + (0.188 × S2 / resistance) + (0.014 × waist circumference) + (0.046 × Wt) + (3.881 × sex) − (0.053 × age), where sex is 0 if female or 1 if male, Wt is weight (kg), and S is stature (cm) (R2 = 0.86, SEE = 1.35 kg)]. Cross validation revealed r2 of 0.91 and no mean bias. Two of three previously published models showed a trend to significantly overestimate ALST in our sample (p < 0.01). Conclusions: The new equation can be considered valid, with no observed bias and trend, thus affording practical means to quantify ALST mass in older adults.-
Descrição: dc.descriptionDepartment of Biomedical and Neuromotor Science University of Bologna-
Descrição: dc.descriptionDepartment for Life Quality Studies University of Bologna-
Descrição: dc.descriptionCIDEFES -Universidade Lusófona-
Descrição: dc.descriptionBioperformance & Nutrition Research Unit Ingrediente Métrico S.A.-
Descrição: dc.descriptionDepartment of Physical Education São Paulo State University-
Descrição: dc.descriptionDepartment of Physical Education São Paulo State University-
Idioma: dc.languageen-
Relação: dc.relationExperimental Gerontology-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectBIA-
Palavras-chave: dc.subjectBody composition-
Palavras-chave: dc.subjectElderly-
Palavras-chave: dc.subjectSarcopenia-
Palavras-chave: dc.subjectSkeletal muscle index-
Título: dc.titlePredictive equation for assessing appendicular lean soft tissue mass using bioelectric impedance analysis in older adults: Effect of body fat distribution-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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