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Retrospective analysis of the relationship between bone mineral density and body composition in a health check-up Chinese population
PURPOSE: This study was designed to explore the relationship between bone mineral density (BMD) and body composition indicators in Chinese adults (≥50 years) in order to provide a scientific basis for optimal bone health management. METHOD: Individuals ≥50 years old who received physical examination...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399460/ https://www.ncbi.nlm.nih.gov/pubmed/36034420 http://dx.doi.org/10.3389/fendo.2022.965758 |
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author | Li, Yuxin Huang, Zhen Gong, Yan Zheng, Yansong Zeng, Qiang |
author_facet | Li, Yuxin Huang, Zhen Gong, Yan Zheng, Yansong Zeng, Qiang |
author_sort | Li, Yuxin |
collection | PubMed |
description | PURPOSE: This study was designed to explore the relationship between bone mineral density (BMD) and body composition indicators in Chinese adults (≥50 years) in order to provide a scientific basis for optimal bone health management. METHOD: Individuals ≥50 years old who received physical examinations and routine check-ups at the Health Management Research Institute of PLA General Hospital from September 2014 through March 2022 were included as research subjects in this study. Basic clinical and demographic information were recorded for all subjects, along with smoking and drinking status, height and body weight. A panel of routine blood chemistry and metabolite markers were measured, along with lean muscle mass and body fat mass using body composition bioelectrical impedance analysis (BIA). Body mass index (BMI), body fat percentage (BFP), skeletal muscle mass index (SMI), and bone mineral density (BMD) were calculated for all individuals. For comparative analysis, individuals were grouped based on their BMI, BFP, SMI and BMD T-score. Follow-up examinations were performed in a cohort of 1,608 individuals matched for age, sex, smoking and drinking history for ≥5 years, RESULTS: In this large cross-sectional study, age, smoking, homocysteine (Hcy) and blood glucose levels were established as independent risk factors for osteoporosis. Multi-factor logistic regression analysis showed that age, sex, BMI, intact parathyroid hormone (iPTH), SMI, BFP, smoking, blood levels of inorganic phosphate (P) and K+ were all significantly associated with osteoporosis risk (P<0.05). A subset of these factors- BMI, SMI, BFP and K+, were determined to be protective. In the cohort followed for ≥5 years, SMI and BMD decreased while BFP and BMI increased significantly (P<0.001) over time. CONCLUSION: Risk of osteoporosis may be reduced by increasing body weight, particularly lean muscle mass, while simultaneously controlling BFP. |
format | Online Article Text |
id | pubmed-9399460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93994602022-08-25 Retrospective analysis of the relationship between bone mineral density and body composition in a health check-up Chinese population Li, Yuxin Huang, Zhen Gong, Yan Zheng, Yansong Zeng, Qiang Front Endocrinol (Lausanne) Endocrinology PURPOSE: This study was designed to explore the relationship between bone mineral density (BMD) and body composition indicators in Chinese adults (≥50 years) in order to provide a scientific basis for optimal bone health management. METHOD: Individuals ≥50 years old who received physical examinations and routine check-ups at the Health Management Research Institute of PLA General Hospital from September 2014 through March 2022 were included as research subjects in this study. Basic clinical and demographic information were recorded for all subjects, along with smoking and drinking status, height and body weight. A panel of routine blood chemistry and metabolite markers were measured, along with lean muscle mass and body fat mass using body composition bioelectrical impedance analysis (BIA). Body mass index (BMI), body fat percentage (BFP), skeletal muscle mass index (SMI), and bone mineral density (BMD) were calculated for all individuals. For comparative analysis, individuals were grouped based on their BMI, BFP, SMI and BMD T-score. Follow-up examinations were performed in a cohort of 1,608 individuals matched for age, sex, smoking and drinking history for ≥5 years, RESULTS: In this large cross-sectional study, age, smoking, homocysteine (Hcy) and blood glucose levels were established as independent risk factors for osteoporosis. Multi-factor logistic regression analysis showed that age, sex, BMI, intact parathyroid hormone (iPTH), SMI, BFP, smoking, blood levels of inorganic phosphate (P) and K+ were all significantly associated with osteoporosis risk (P<0.05). A subset of these factors- BMI, SMI, BFP and K+, were determined to be protective. In the cohort followed for ≥5 years, SMI and BMD decreased while BFP and BMI increased significantly (P<0.001) over time. CONCLUSION: Risk of osteoporosis may be reduced by increasing body weight, particularly lean muscle mass, while simultaneously controlling BFP. Frontiers Media S.A. 2022-08-10 /pmc/articles/PMC9399460/ /pubmed/36034420 http://dx.doi.org/10.3389/fendo.2022.965758 Text en Copyright © 2022 Li, Huang, Gong, Zheng and Zeng https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Li, Yuxin Huang, Zhen Gong, Yan Zheng, Yansong Zeng, Qiang Retrospective analysis of the relationship between bone mineral density and body composition in a health check-up Chinese population |
title | Retrospective analysis of the relationship between bone mineral density and body composition in a health check-up Chinese population |
title_full | Retrospective analysis of the relationship between bone mineral density and body composition in a health check-up Chinese population |
title_fullStr | Retrospective analysis of the relationship between bone mineral density and body composition in a health check-up Chinese population |
title_full_unstemmed | Retrospective analysis of the relationship between bone mineral density and body composition in a health check-up Chinese population |
title_short | Retrospective analysis of the relationship between bone mineral density and body composition in a health check-up Chinese population |
title_sort | retrospective analysis of the relationship between bone mineral density and body composition in a health check-up chinese population |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399460/ https://www.ncbi.nlm.nih.gov/pubmed/36034420 http://dx.doi.org/10.3389/fendo.2022.965758 |
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