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Influence of the appendicular skeletal muscle mass index on the bone mineral density of postmenopausal women
BACKGROUND: The appendicular skeletal muscle mass index (ASMI) is an important risk indicator for osteoporosis because of the anatomical proximity and metabolic connection between muscle and bone mass. The present study investigated the relationship between ASMI and the bone mineral density (BMD) ca...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501937/ https://www.ncbi.nlm.nih.gov/pubmed/34627216 http://dx.doi.org/10.1186/s12891-021-04748-x |
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author | da Cruz, Geise Ferreira Lunz, Tatiana Mion de Jesus, Tatielle Rocha Costa, Mariana Braga Vidigal, Camila Vilarinho Albergaria, Ben-Hur Marques-Rocha, Jose Luiz Guandalini, Valdete Regina |
author_facet | da Cruz, Geise Ferreira Lunz, Tatiana Mion de Jesus, Tatielle Rocha Costa, Mariana Braga Vidigal, Camila Vilarinho Albergaria, Ben-Hur Marques-Rocha, Jose Luiz Guandalini, Valdete Regina |
author_sort | da Cruz, Geise Ferreira |
collection | PubMed |
description | BACKGROUND: The appendicular skeletal muscle mass index (ASMI) is an important risk indicator for osteoporosis because of the anatomical proximity and metabolic connection between muscle and bone mass. The present study investigated the relationship between ASMI and the bone mineral density (BMD) categories of postmenopausal women. METHODS: In this cross-sectional study with a probabilistic sample, sociodemographic, lifestyle, menopause time, anthropometric, and physical activity variables were collected. ASMI and BMD were assessed by dual-energy X-ray absorptiometry (DXA). Participants were grouped according to BMD values into normal density, osteopenia, and osteoporosis. Multivariate logistic regression models were applied to verify the influence of ASMI on BMD. Data were analyzed using the SPSS statistical software, version 22. The significance level for all tests was set at 5%. RESULTS: Of the 114 women analyzed, most were between 60 and 69.9 years of age (62.3%), on menopause for ≤19.0 (51.8%), self-declared brown race/color (49.1%), had < 4 years of education (41.2%), never smoked (69.0%) or drank alcohol (62.8%). Of these, 52.6% were classified as sufficiently active and 52.2% had regular sun exposure. Women with osteoporosis were older (p = 0.035), on menopause for a longer time (p = 0.011), underweight (p = 0.004), had adequate waist circumference (p = 0.017), and low ASMI values (p = 0.002). There was an association between the 1st tertile of ASMI and osteoporosis. However, after adjustments for age, race/color, and body mass index, the strength of association between BMD and ASMI was not maintained. CONCLUSIONS: ASMI was not associated with the BMD of the postmenopausal women evaluated. Total body and muscle mass, in addition to bone mass, should be monitored during menopause treatment. Longitudinal studies must be conducted to elucidate the mechanisms and gaps in this relationship. |
format | Online Article Text |
id | pubmed-8501937 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85019372021-10-12 Influence of the appendicular skeletal muscle mass index on the bone mineral density of postmenopausal women da Cruz, Geise Ferreira Lunz, Tatiana Mion de Jesus, Tatielle Rocha Costa, Mariana Braga Vidigal, Camila Vilarinho Albergaria, Ben-Hur Marques-Rocha, Jose Luiz Guandalini, Valdete Regina BMC Musculoskelet Disord Research BACKGROUND: The appendicular skeletal muscle mass index (ASMI) is an important risk indicator for osteoporosis because of the anatomical proximity and metabolic connection between muscle and bone mass. The present study investigated the relationship between ASMI and the bone mineral density (BMD) categories of postmenopausal women. METHODS: In this cross-sectional study with a probabilistic sample, sociodemographic, lifestyle, menopause time, anthropometric, and physical activity variables were collected. ASMI and BMD were assessed by dual-energy X-ray absorptiometry (DXA). Participants were grouped according to BMD values into normal density, osteopenia, and osteoporosis. Multivariate logistic regression models were applied to verify the influence of ASMI on BMD. Data were analyzed using the SPSS statistical software, version 22. The significance level for all tests was set at 5%. RESULTS: Of the 114 women analyzed, most were between 60 and 69.9 years of age (62.3%), on menopause for ≤19.0 (51.8%), self-declared brown race/color (49.1%), had < 4 years of education (41.2%), never smoked (69.0%) or drank alcohol (62.8%). Of these, 52.6% were classified as sufficiently active and 52.2% had regular sun exposure. Women with osteoporosis were older (p = 0.035), on menopause for a longer time (p = 0.011), underweight (p = 0.004), had adequate waist circumference (p = 0.017), and low ASMI values (p = 0.002). There was an association between the 1st tertile of ASMI and osteoporosis. However, after adjustments for age, race/color, and body mass index, the strength of association between BMD and ASMI was not maintained. CONCLUSIONS: ASMI was not associated with the BMD of the postmenopausal women evaluated. Total body and muscle mass, in addition to bone mass, should be monitored during menopause treatment. Longitudinal studies must be conducted to elucidate the mechanisms and gaps in this relationship. BioMed Central 2021-10-09 /pmc/articles/PMC8501937/ /pubmed/34627216 http://dx.doi.org/10.1186/s12891-021-04748-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research da Cruz, Geise Ferreira Lunz, Tatiana Mion de Jesus, Tatielle Rocha Costa, Mariana Braga Vidigal, Camila Vilarinho Albergaria, Ben-Hur Marques-Rocha, Jose Luiz Guandalini, Valdete Regina Influence of the appendicular skeletal muscle mass index on the bone mineral density of postmenopausal women |
title | Influence of the appendicular skeletal muscle mass index on the bone mineral density of postmenopausal women |
title_full | Influence of the appendicular skeletal muscle mass index on the bone mineral density of postmenopausal women |
title_fullStr | Influence of the appendicular skeletal muscle mass index on the bone mineral density of postmenopausal women |
title_full_unstemmed | Influence of the appendicular skeletal muscle mass index on the bone mineral density of postmenopausal women |
title_short | Influence of the appendicular skeletal muscle mass index on the bone mineral density of postmenopausal women |
title_sort | influence of the appendicular skeletal muscle mass index on the bone mineral density of postmenopausal women |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501937/ https://www.ncbi.nlm.nih.gov/pubmed/34627216 http://dx.doi.org/10.1186/s12891-021-04748-x |
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