Different cutoff points to diagnose low muscle mass and prediction of osteoporosis in postmenopausal women
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1097/GME.0000000000001820 http://hdl.handle.net/11449/229773 |
Resumo: | OBJECTIVE: This study aimed to verify which of the different cutoff points of low muscle mass (LMM) based on appendicular lean mass (ALM) is associated with osteoporosis in postmenopausal women (PMW). METHODS: Cross-sectional study. PMW (n = 355) were classified for the presence of osteoporosis (score <-2.5 standard deviations) at the femoral neck and lumbar spine and LMM (three cutoff points: ALM < 15 kg; ALM/height2 [ALM index] <5.67 kg/m2 and ratio between ALM and body mass index [ALMBMI] <0.512). RESULTS: After adjustments for confounding factors, binary logistic regression showed that ALM and ALM index were associated with osteoporosis at the lumbar spine (odds ratio [OR] = 5.3 [95% CI: 2.3-12.5] and OR = 2.5 [95% CI: 1.0-6.2], respectively) and only ALM was associated with osteoporosis at the femoral neck (OR = 16.1 [95% CI: 4.1-62.5]). When women were classified as having osteoporosis in at least one site, only ALM was associated with osteoporosis (OR = 7.7 [95% CI: 3.3-15.6]). There was no association between ALMBMI and osteoporosis. The predictive value of ALM for osteoporosis decreased after BMI or height were included as a covariate in the model. CONCLUSION: Absolute ALM (<15 kg) seems to be the most suitable for predicting osteoporosis based on LMM in PMW. |
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Repositório Institucional da UNESP |
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2946 |
spelling |
Different cutoff points to diagnose low muscle mass and prediction of osteoporosis in postmenopausal womenOBJECTIVE: This study aimed to verify which of the different cutoff points of low muscle mass (LMM) based on appendicular lean mass (ALM) is associated with osteoporosis in postmenopausal women (PMW). METHODS: Cross-sectional study. PMW (n = 355) were classified for the presence of osteoporosis (score <-2.5 standard deviations) at the femoral neck and lumbar spine and LMM (three cutoff points: ALM < 15 kg; ALM/height2 [ALM index] <5.67 kg/m2 and ratio between ALM and body mass index [ALMBMI] <0.512). RESULTS: After adjustments for confounding factors, binary logistic regression showed that ALM and ALM index were associated with osteoporosis at the lumbar spine (odds ratio [OR] = 5.3 [95% CI: 2.3-12.5] and OR = 2.5 [95% CI: 1.0-6.2], respectively) and only ALM was associated with osteoporosis at the femoral neck (OR = 16.1 [95% CI: 4.1-62.5]). When women were classified as having osteoporosis in at least one site, only ALM was associated with osteoporosis (OR = 7.7 [95% CI: 3.3-15.6]). There was no association between ALMBMI and osteoporosis. The predictive value of ALM for osteoporosis decreased after BMI or height were included as a covariate in the model. CONCLUSION: Absolute ALM (<15 kg) seems to be the most suitable for predicting osteoporosis based on LMM in PMW.Applied Physiology Aging Nutrition and Exercise Research Group (PHYANER) Health Science Institute Federal University of Triangulo Mineiro (UFTM)Department Health Science Oeste Paulista University (UNOESTE)Department of Sport Sciences Health Science Institute Federal University of Triangulo Mineiro (UFTM)Physiotherapy Course Department of Health Sciences Rehabilitation and Functional Performance Program Ribeirao Preto Medical School University of São PauloDepartment of Gynecology and Obstetrics Botucatu Medical School Sao Paulo State University (UNESP)Department of Gynecology and Obstetrics Botucatu Medical School Sao Paulo State University (UNESP)Federal University of Triangulo Mineiro (UFTM)Oeste Paulista University (UNOESTE)Universidade de São Paulo (USP)Universidade Estadual Paulista (UNESP)Miranda, Camilade Morais, Vinicius Faria BorgesMartins, Fernanda MariaPelet, Danyelle Cristina SilvaOrsatti, Cláudio LeraCangussu-Oliveira, Luciana MendesPetri Nahas, Eliana Aguiar [UNESP]Santagnello, Samarita Beraldode Paula, Rodolfo FerreiraCampos Souza, Markus ViniciusOrsatti, Fábio Lera2022-04-29T08:35:42Z2022-04-29T08:35:42Z2021-07-19info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1181-1185http://dx.doi.org/10.1097/GME.0000000000001820Menopause (New York, N.Y.), v. 28, n. 10, p. 1181-1185, 2021.1530-0374http://hdl.handle.net/11449/22977310.1097/GME.00000000000018202-s2.0-85117739693Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMenopause (New York, N.Y.)info:eu-repo/semantics/openAccess2024-08-16T14:06:54Zoai:repositorio.unesp.br:11449/229773Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-16T14:06:54Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Different cutoff points to diagnose low muscle mass and prediction of osteoporosis in postmenopausal women |
title |
Different cutoff points to diagnose low muscle mass and prediction of osteoporosis in postmenopausal women |
spellingShingle |
Different cutoff points to diagnose low muscle mass and prediction of osteoporosis in postmenopausal women Miranda, Camila |
title_short |
Different cutoff points to diagnose low muscle mass and prediction of osteoporosis in postmenopausal women |
title_full |
Different cutoff points to diagnose low muscle mass and prediction of osteoporosis in postmenopausal women |
title_fullStr |
Different cutoff points to diagnose low muscle mass and prediction of osteoporosis in postmenopausal women |
title_full_unstemmed |
Different cutoff points to diagnose low muscle mass and prediction of osteoporosis in postmenopausal women |
title_sort |
Different cutoff points to diagnose low muscle mass and prediction of osteoporosis in postmenopausal women |
author |
Miranda, Camila |
author_facet |
Miranda, Camila de Morais, Vinicius Faria Borges Martins, Fernanda Maria Pelet, Danyelle Cristina Silva Orsatti, Cláudio Lera Cangussu-Oliveira, Luciana Mendes Petri Nahas, Eliana Aguiar [UNESP] Santagnello, Samarita Beraldo de Paula, Rodolfo Ferreira Campos Souza, Markus Vinicius Orsatti, Fábio Lera |
author_role |
author |
author2 |
de Morais, Vinicius Faria Borges Martins, Fernanda Maria Pelet, Danyelle Cristina Silva Orsatti, Cláudio Lera Cangussu-Oliveira, Luciana Mendes Petri Nahas, Eliana Aguiar [UNESP] Santagnello, Samarita Beraldo de Paula, Rodolfo Ferreira Campos Souza, Markus Vinicius Orsatti, Fábio Lera |
author2_role |
author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Federal University of Triangulo Mineiro (UFTM) Oeste Paulista University (UNOESTE) Universidade de São Paulo (USP) Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Miranda, Camila de Morais, Vinicius Faria Borges Martins, Fernanda Maria Pelet, Danyelle Cristina Silva Orsatti, Cláudio Lera Cangussu-Oliveira, Luciana Mendes Petri Nahas, Eliana Aguiar [UNESP] Santagnello, Samarita Beraldo de Paula, Rodolfo Ferreira Campos Souza, Markus Vinicius Orsatti, Fábio Lera |
description |
OBJECTIVE: This study aimed to verify which of the different cutoff points of low muscle mass (LMM) based on appendicular lean mass (ALM) is associated with osteoporosis in postmenopausal women (PMW). METHODS: Cross-sectional study. PMW (n = 355) were classified for the presence of osteoporosis (score <-2.5 standard deviations) at the femoral neck and lumbar spine and LMM (three cutoff points: ALM < 15 kg; ALM/height2 [ALM index] <5.67 kg/m2 and ratio between ALM and body mass index [ALMBMI] <0.512). RESULTS: After adjustments for confounding factors, binary logistic regression showed that ALM and ALM index were associated with osteoporosis at the lumbar spine (odds ratio [OR] = 5.3 [95% CI: 2.3-12.5] and OR = 2.5 [95% CI: 1.0-6.2], respectively) and only ALM was associated with osteoporosis at the femoral neck (OR = 16.1 [95% CI: 4.1-62.5]). When women were classified as having osteoporosis in at least one site, only ALM was associated with osteoporosis (OR = 7.7 [95% CI: 3.3-15.6]). There was no association between ALMBMI and osteoporosis. The predictive value of ALM for osteoporosis decreased after BMI or height were included as a covariate in the model. CONCLUSION: Absolute ALM (<15 kg) seems to be the most suitable for predicting osteoporosis based on LMM in PMW. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-07-19 2022-04-29T08:35:42Z 2022-04-29T08:35:42Z |
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/10.1097/GME.0000000000001820 Menopause (New York, N.Y.), v. 28, n. 10, p. 1181-1185, 2021. 1530-0374 http://hdl.handle.net/11449/229773 10.1097/GME.0000000000001820 2-s2.0-85117739693 |
url |
http://dx.doi.org/10.1097/GME.0000000000001820 http://hdl.handle.net/11449/229773 |
identifier_str_mv |
Menopause (New York, N.Y.), v. 28, n. 10, p. 1181-1185, 2021. 1530-0374 10.1097/GME.0000000000001820 2-s2.0-85117739693 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Menopause (New York, N.Y.) |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1181-1185 |
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 |
|
_version_ |
1808128136456437760 |