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The Association between Muscle Mass Deficits Estimated from Bioelectrical Impedance Analysis and Lumbar Spine Bone Mineral Density in Korean Adults

BACKGROUND: Bone mineral density (BMD) is influenced by many factors. Despite the reported association between body components and BMD, most of these studies investigated the relationship between absolute muscle mass or fat mass and BMD in postmenopausal women or elderly subjects. The aim of this st...

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Autores principales: Jang, Hye-Yeon, Choi, Hee-Jeong, Lee, Kye-Bong, Cho, Sul-Bit, Im, In Jae, Kim, Hee Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society for Bone and Mineral Research 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4900965/
https://www.ncbi.nlm.nih.gov/pubmed/27294081
http://dx.doi.org/10.11005/jbm.2016.23.2.95
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author Jang, Hye-Yeon
Choi, Hee-Jeong
Lee, Kye-Bong
Cho, Sul-Bit
Im, In Jae
Kim, Hee Jin
author_facet Jang, Hye-Yeon
Choi, Hee-Jeong
Lee, Kye-Bong
Cho, Sul-Bit
Im, In Jae
Kim, Hee Jin
author_sort Jang, Hye-Yeon
collection PubMed
description BACKGROUND: Bone mineral density (BMD) is influenced by many factors. Despite the reported association between body components and BMD, most of these studies investigated the relationship between absolute muscle mass or fat mass and BMD in postmenopausal women or elderly subjects. The aim of this study is to investigate the association between muscle mass deficits (MMD) estimated from bioelectrical impedance analysis (BIA) and lumbar spinal BMD in Korean adults 20 to 49 years of age. METHODS: This cross-sectional study included 1,765 men and women who visited a health promotion center for a routine checkup. The lumbar spinal BMD was measured by dual energy X-ray absorptiometry. Body composition analysis was performed using BIA. RESULTS: The mean age of the subjects was 40.2±6.3 years. Ten thousand subjects (56.7%) were males and 126 subjects (7.1%) belonged to the low BMD (Z-score ≤-2.0). MMD had the strongest influence on BMD after adjusting for all covariates. The adjusted odds ratio of Group 3 (MDD >2.6 kg) for low BMD was 2.74 (95% CI, 1.46-5.15) after adjusting for age, gender, body mass index, height, and smoking. CONCLUSIONS: MMD estimated by BIA showed a significant association with BMD and could be regarded as an independent risk factor for low BMD in adults 20 to 49 years of age. These findings support that interventions such as physical activity or lifestyle changes may simultaneously modify both muscle and bone health in this age group.
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spelling pubmed-49009652016-06-10 The Association between Muscle Mass Deficits Estimated from Bioelectrical Impedance Analysis and Lumbar Spine Bone Mineral Density in Korean Adults Jang, Hye-Yeon Choi, Hee-Jeong Lee, Kye-Bong Cho, Sul-Bit Im, In Jae Kim, Hee Jin J Bone Metab Original Article BACKGROUND: Bone mineral density (BMD) is influenced by many factors. Despite the reported association between body components and BMD, most of these studies investigated the relationship between absolute muscle mass or fat mass and BMD in postmenopausal women or elderly subjects. The aim of this study is to investigate the association between muscle mass deficits (MMD) estimated from bioelectrical impedance analysis (BIA) and lumbar spinal BMD in Korean adults 20 to 49 years of age. METHODS: This cross-sectional study included 1,765 men and women who visited a health promotion center for a routine checkup. The lumbar spinal BMD was measured by dual energy X-ray absorptiometry. Body composition analysis was performed using BIA. RESULTS: The mean age of the subjects was 40.2±6.3 years. Ten thousand subjects (56.7%) were males and 126 subjects (7.1%) belonged to the low BMD (Z-score ≤-2.0). MMD had the strongest influence on BMD after adjusting for all covariates. The adjusted odds ratio of Group 3 (MDD >2.6 kg) for low BMD was 2.74 (95% CI, 1.46-5.15) after adjusting for age, gender, body mass index, height, and smoking. CONCLUSIONS: MMD estimated by BIA showed a significant association with BMD and could be regarded as an independent risk factor for low BMD in adults 20 to 49 years of age. These findings support that interventions such as physical activity or lifestyle changes may simultaneously modify both muscle and bone health in this age group. The Korean Society for Bone and Mineral Research 2016-05 2016-05-31 /pmc/articles/PMC4900965/ /pubmed/27294081 http://dx.doi.org/10.11005/jbm.2016.23.2.95 Text en Copyright © 2016 The Korean Society for Bone and Mineral Research http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Jang, Hye-Yeon
Choi, Hee-Jeong
Lee, Kye-Bong
Cho, Sul-Bit
Im, In Jae
Kim, Hee Jin
The Association between Muscle Mass Deficits Estimated from Bioelectrical Impedance Analysis and Lumbar Spine Bone Mineral Density in Korean Adults
title The Association between Muscle Mass Deficits Estimated from Bioelectrical Impedance Analysis and Lumbar Spine Bone Mineral Density in Korean Adults
title_full The Association between Muscle Mass Deficits Estimated from Bioelectrical Impedance Analysis and Lumbar Spine Bone Mineral Density in Korean Adults
title_fullStr The Association between Muscle Mass Deficits Estimated from Bioelectrical Impedance Analysis and Lumbar Spine Bone Mineral Density in Korean Adults
title_full_unstemmed The Association between Muscle Mass Deficits Estimated from Bioelectrical Impedance Analysis and Lumbar Spine Bone Mineral Density in Korean Adults
title_short The Association between Muscle Mass Deficits Estimated from Bioelectrical Impedance Analysis and Lumbar Spine Bone Mineral Density in Korean Adults
title_sort association between muscle mass deficits estimated from bioelectrical impedance analysis and lumbar spine bone mineral density in korean adults
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4900965/
https://www.ncbi.nlm.nih.gov/pubmed/27294081
http://dx.doi.org/10.11005/jbm.2016.23.2.95
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