Cargando…
Assessing lifestyle-related diseases with body and muscle mass using bioelectrical impedance analysis
OBJECTIVES: To investigate the correlation between imbalance of muscle mass to body weight and lifestyle-related diseases using bioelectrical impedance analysis (BIA) among Japanese population. METHODS: This was a retrospective, cross-sectional study conducted at Juntendo University Hospital in Toky...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Osteoporosis
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093684/ https://www.ncbi.nlm.nih.gov/pubmed/32226830 http://dx.doi.org/10.1016/j.afos.2020.02.004 |
_version_ | 1783510328693227520 |
---|---|
author | Miyagami, Taiju Yokokawa, Hirohide Fujibayashi, Kazutoshi Fukuda, Hiroshi Hisaoka, Teruhiko Naito, Toshio |
author_facet | Miyagami, Taiju Yokokawa, Hirohide Fujibayashi, Kazutoshi Fukuda, Hiroshi Hisaoka, Teruhiko Naito, Toshio |
author_sort | Miyagami, Taiju |
collection | PubMed |
description | OBJECTIVES: To investigate the correlation between imbalance of muscle mass to body weight and lifestyle-related diseases using bioelectrical impedance analysis (BIA) among Japanese population. METHODS: This was a retrospective, cross-sectional study conducted at Juntendo University Hospital in Tokyo, Japan, from May 2015 to November 2017. Their muscle-to-weight ratio were stratified into “muscle-to-weight ratio” quartiles as follows: men, Q1 (≥0.79), Q2 (0.75 to <0.79), Q3 (0.72 to <0.75), and Q4 (<0.72); women, Q1 (≥0.73), Q2 (0.68 to <0.73), Q3 (0.63 to <0.68), and Q4 (<0.63). The primary outcome was prevalence of ≥2 lifestyle-related diseases, including hypertension, dyslipidemia, type 2 diabetes mellitus, and hyperuricemia. RESULTS: Data from 2009 individuals (men, 55%; mean age, 62 years) were analyzed. Compared to the lowest quartile, risk for the presence of ≥2 lifestyle-related diseases, in a multivariable regression model for men was as follows: Q2 (odds ratio [OR], 1.93; 95% confidence interval [CI], 1.31–2.87), Q3 (OR, 2.85; 95% CI, 1.89–4.29), and Q4 (OR, 6.00; 95% CI, 4.07–8.84). For women, an increased risk was seen in Q2 (OR, 2.31; 95% CI, 1.20–4.46), Q3 (OR, 4.45; 95% CI, 2.40–8.26), and Q4 (OR, 12.6; 95% CI, 6.80–23.5). Cutoff values of muscle-to-weight ratio correlated with lifestyle-related diseases (≥2) were 0.76 for men and 0.68 for women. CONCLUSIONS: Our results showed that an imbalance of muscle mass to body weight confers an independent and stepwise increased risk for lifestyle-related diseases. |
format | Online Article Text |
id | pubmed-7093684 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Korean Society of Osteoporosis |
record_format | MEDLINE/PubMed |
spelling | pubmed-70936842020-03-27 Assessing lifestyle-related diseases with body and muscle mass using bioelectrical impedance analysis Miyagami, Taiju Yokokawa, Hirohide Fujibayashi, Kazutoshi Fukuda, Hiroshi Hisaoka, Teruhiko Naito, Toshio Osteoporos Sarcopenia Original Article OBJECTIVES: To investigate the correlation between imbalance of muscle mass to body weight and lifestyle-related diseases using bioelectrical impedance analysis (BIA) among Japanese population. METHODS: This was a retrospective, cross-sectional study conducted at Juntendo University Hospital in Tokyo, Japan, from May 2015 to November 2017. Their muscle-to-weight ratio were stratified into “muscle-to-weight ratio” quartiles as follows: men, Q1 (≥0.79), Q2 (0.75 to <0.79), Q3 (0.72 to <0.75), and Q4 (<0.72); women, Q1 (≥0.73), Q2 (0.68 to <0.73), Q3 (0.63 to <0.68), and Q4 (<0.63). The primary outcome was prevalence of ≥2 lifestyle-related diseases, including hypertension, dyslipidemia, type 2 diabetes mellitus, and hyperuricemia. RESULTS: Data from 2009 individuals (men, 55%; mean age, 62 years) were analyzed. Compared to the lowest quartile, risk for the presence of ≥2 lifestyle-related diseases, in a multivariable regression model for men was as follows: Q2 (odds ratio [OR], 1.93; 95% confidence interval [CI], 1.31–2.87), Q3 (OR, 2.85; 95% CI, 1.89–4.29), and Q4 (OR, 6.00; 95% CI, 4.07–8.84). For women, an increased risk was seen in Q2 (OR, 2.31; 95% CI, 1.20–4.46), Q3 (OR, 4.45; 95% CI, 2.40–8.26), and Q4 (OR, 12.6; 95% CI, 6.80–23.5). Cutoff values of muscle-to-weight ratio correlated with lifestyle-related diseases (≥2) were 0.76 for men and 0.68 for women. CONCLUSIONS: Our results showed that an imbalance of muscle mass to body weight confers an independent and stepwise increased risk for lifestyle-related diseases. Korean Society of Osteoporosis 2020-03 2020-03-05 /pmc/articles/PMC7093684/ /pubmed/32226830 http://dx.doi.org/10.1016/j.afos.2020.02.004 Text en © 2020 The Korean Society of Osteoporosis. Publishing services by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Miyagami, Taiju Yokokawa, Hirohide Fujibayashi, Kazutoshi Fukuda, Hiroshi Hisaoka, Teruhiko Naito, Toshio Assessing lifestyle-related diseases with body and muscle mass using bioelectrical impedance analysis |
title | Assessing lifestyle-related diseases with body and muscle mass using bioelectrical impedance analysis |
title_full | Assessing lifestyle-related diseases with body and muscle mass using bioelectrical impedance analysis |
title_fullStr | Assessing lifestyle-related diseases with body and muscle mass using bioelectrical impedance analysis |
title_full_unstemmed | Assessing lifestyle-related diseases with body and muscle mass using bioelectrical impedance analysis |
title_short | Assessing lifestyle-related diseases with body and muscle mass using bioelectrical impedance analysis |
title_sort | assessing lifestyle-related diseases with body and muscle mass using bioelectrical impedance analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093684/ https://www.ncbi.nlm.nih.gov/pubmed/32226830 http://dx.doi.org/10.1016/j.afos.2020.02.004 |
work_keys_str_mv | AT miyagamitaiju assessinglifestylerelateddiseaseswithbodyandmusclemassusingbioelectricalimpedanceanalysis AT yokokawahirohide assessinglifestylerelateddiseaseswithbodyandmusclemassusingbioelectricalimpedanceanalysis AT fujibayashikazutoshi assessinglifestylerelateddiseaseswithbodyandmusclemassusingbioelectricalimpedanceanalysis AT fukudahiroshi assessinglifestylerelateddiseaseswithbodyandmusclemassusingbioelectricalimpedanceanalysis AT hisaokateruhiko assessinglifestylerelateddiseaseswithbodyandmusclemassusingbioelectricalimpedanceanalysis AT naitotoshio assessinglifestylerelateddiseaseswithbodyandmusclemassusingbioelectricalimpedanceanalysis |