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

Bibliographic Details
Main Author: Toselli, S.
Publication Date: 2021
Other Authors: Campa, F., Matias, C. N., de Alencar Silva, Bruna Spolador [UNESP], dos Santos, Vanessa Ribeiro [UNESP], Maietta Latessa, P., Gobbo, L. A. [UNESP]
Format: Article
Language: eng
Source: Repositório Institucional da UNESP
Download full: http://dx.doi.org/10.1016/j.exger.2021.111393
http://hdl.handle.net/11449/221736
Summary: Background: 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.
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spelling Predictive equation for assessing appendicular lean soft tissue mass using bioelectric impedance analysis in older adults: Effect of body fat distributionBIABody compositionElderlySarcopeniaSkeletal muscle indexBackground: 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.Department of Biomedical and Neuromotor Science University of BolognaDepartment for Life Quality Studies University of BolognaCIDEFES -Universidade LusófonaBioperformance & Nutrition Research Unit Ingrediente Métrico S.A.Department of Physical Education São Paulo State UniversityDepartment of Physical Education São Paulo State UniversityUniversity of BolognaCIDEFES -Universidade LusófonaIngrediente Métrico S.A.Universidade Estadual Paulista (UNESP)Toselli, S.Campa, F.Matias, C. N.de Alencar Silva, Bruna Spolador [UNESP]dos Santos, Vanessa Ribeiro [UNESP]Maietta Latessa, P.Gobbo, L. A. [UNESP]2022-04-28T19:40:10Z2022-04-28T19:40:10Z2021-07-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.exger.2021.111393Experimental Gerontology, v. 150.1873-68150531-5565http://hdl.handle.net/11449/22173610.1016/j.exger.2021.1113932-s2.0-85105427140Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengExperimental Gerontologyinfo:eu-repo/semantics/openAccess2022-04-28T19:40:10Zoai:repositorio.unesp.br:11449/221736Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462022-04-28T19:40:10Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Predictive equation for assessing appendicular lean soft tissue mass using bioelectric impedance analysis in older adults: Effect of body fat distribution
title Predictive equation for assessing appendicular lean soft tissue mass using bioelectric impedance analysis in older adults: Effect of body fat distribution
spellingShingle Predictive equation for assessing appendicular lean soft tissue mass using bioelectric impedance analysis in older adults: Effect of body fat distribution
Toselli, S.
BIA
Body composition
Elderly
Sarcopenia
Skeletal muscle index
title_short Predictive equation for assessing appendicular lean soft tissue mass using bioelectric impedance analysis in older adults: Effect of body fat distribution
title_full Predictive equation for assessing appendicular lean soft tissue mass using bioelectric impedance analysis in older adults: Effect of body fat distribution
title_fullStr Predictive equation for assessing appendicular lean soft tissue mass using bioelectric impedance analysis in older adults: Effect of body fat distribution
title_full_unstemmed Predictive equation for assessing appendicular lean soft tissue mass using bioelectric impedance analysis in older adults: Effect of body fat distribution
title_sort Predictive equation for assessing appendicular lean soft tissue mass using bioelectric impedance analysis in older adults: Effect of body fat distribution
author Toselli, S.
author_facet Toselli, S.
Campa, F.
Matias, C. N.
de Alencar Silva, Bruna Spolador [UNESP]
dos Santos, Vanessa Ribeiro [UNESP]
Maietta Latessa, P.
Gobbo, L. A. [UNESP]
author_role author
author2 Campa, F.
Matias, C. N.
de Alencar Silva, Bruna Spolador [UNESP]
dos Santos, Vanessa Ribeiro [UNESP]
Maietta Latessa, P.
Gobbo, L. A. [UNESP]
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv University of Bologna
CIDEFES -Universidade Lusófona
Ingrediente Métrico S.A.
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Toselli, S.
Campa, F.
Matias, C. N.
de Alencar Silva, Bruna Spolador [UNESP]
dos Santos, Vanessa Ribeiro [UNESP]
Maietta Latessa, P.
Gobbo, L. A. [UNESP]
dc.subject.por.fl_str_mv BIA
Body composition
Elderly
Sarcopenia
Skeletal muscle index
topic BIA
Body composition
Elderly
Sarcopenia
Skeletal muscle index
description Background: 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.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-15
2022-04-28T19:40:10Z
2022-04-28T19:40:10Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.exger.2021.111393
Experimental Gerontology, v. 150.
1873-6815
0531-5565
http://hdl.handle.net/11449/221736
10.1016/j.exger.2021.111393
2-s2.0-85105427140
url http://dx.doi.org/10.1016/j.exger.2021.111393
http://hdl.handle.net/11449/221736
identifier_str_mv Experimental Gerontology, v. 150.
1873-6815
0531-5565
10.1016/j.exger.2021.111393
2-s2.0-85105427140
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Experimental Gerontology
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
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