Cargando…
Risk for metabolic syndrome in the population with visceral fat area measured by bioelectrical impedance analysis
BACKGROUND/AIMS: To investigate whether visceral fat area (VFA) measured by bioelectric impedance analysis (BIA) was associated with metabolic syndrome in subjects with and without obesity. METHODS: A total 23,202 participants who underwent medical check-ups were assessed. Participants were stratifi...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Association of Internal Medicine
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820642/ https://www.ncbi.nlm.nih.gov/pubmed/32340088 http://dx.doi.org/10.3904/kjim.2018.427 |
_version_ | 1783639258751303680 |
---|---|
author | Jeon, Han Ho Lee, Yong Kang Kim, Dong Hyun Pak, Haeyong Shin, Sang Yun Seo, Jeong Hun |
author_facet | Jeon, Han Ho Lee, Yong Kang Kim, Dong Hyun Pak, Haeyong Shin, Sang Yun Seo, Jeong Hun |
author_sort | Jeon, Han Ho |
collection | PubMed |
description | BACKGROUND/AIMS: To investigate whether visceral fat area (VFA) measured by bioelectric impedance analysis (BIA) was associated with metabolic syndrome in subjects with and without obesity. METHODS: A total 23,202 participants who underwent medical check-ups were assessed. Participants were stratified by body mass index (BMI) and VFA. We evaluated six different groups for metabolic syndrome: Group 1 (normal weight and low VFA), Group 2 (normal weight and high VFA), Group 3 (overweight and low VFA), Group 4 (overweight and high VFA), Group 5 (obesity and low VFA), and Group 6 (obesity and high VFA). RESULTS: Metabolic syndrome traits and metabolic syndrome were significantly more prevalent in the high-VFA (≥ 100 cm(2)) subgroup in each BMI group. Adjusted logistic regression analyses revealed that the odds ratio for metabolic syndrome compared with Group 1 was the highest in Group 6 (24.53; 95% confidence interval [CI], 21.77 to 27.64). Notably, the odds ratio of Group 2 was higher than that of Group 3 (2.92; 95% CI, 2.30 to 3.69 vs. 2.57; 95% CI, 2.23 to 2.97). CONCLUSIONS: Our study demonstrates that the combination of BMI assessment and VFA determination by BIA may be a useful method for predicting the risk of metabolic syndrome. The VFA by BIA may be a useful target for interventions to improve metabolic syndrome. |
format | Online Article Text |
id | pubmed-7820642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Korean Association of Internal Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-78206422021-01-27 Risk for metabolic syndrome in the population with visceral fat area measured by bioelectrical impedance analysis Jeon, Han Ho Lee, Yong Kang Kim, Dong Hyun Pak, Haeyong Shin, Sang Yun Seo, Jeong Hun Korean J Intern Med Original Article BACKGROUND/AIMS: To investigate whether visceral fat area (VFA) measured by bioelectric impedance analysis (BIA) was associated with metabolic syndrome in subjects with and without obesity. METHODS: A total 23,202 participants who underwent medical check-ups were assessed. Participants were stratified by body mass index (BMI) and VFA. We evaluated six different groups for metabolic syndrome: Group 1 (normal weight and low VFA), Group 2 (normal weight and high VFA), Group 3 (overweight and low VFA), Group 4 (overweight and high VFA), Group 5 (obesity and low VFA), and Group 6 (obesity and high VFA). RESULTS: Metabolic syndrome traits and metabolic syndrome were significantly more prevalent in the high-VFA (≥ 100 cm(2)) subgroup in each BMI group. Adjusted logistic regression analyses revealed that the odds ratio for metabolic syndrome compared with Group 1 was the highest in Group 6 (24.53; 95% confidence interval [CI], 21.77 to 27.64). Notably, the odds ratio of Group 2 was higher than that of Group 3 (2.92; 95% CI, 2.30 to 3.69 vs. 2.57; 95% CI, 2.23 to 2.97). CONCLUSIONS: Our study demonstrates that the combination of BMI assessment and VFA determination by BIA may be a useful method for predicting the risk of metabolic syndrome. The VFA by BIA may be a useful target for interventions to improve metabolic syndrome. The Korean Association of Internal Medicine 2021-01 2020-04-29 /pmc/articles/PMC7820642/ /pubmed/32340088 http://dx.doi.org/10.3904/kjim.2018.427 Text en Copyright © 2021 The Korean Association of Internal Medicine This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Jeon, Han Ho Lee, Yong Kang Kim, Dong Hyun Pak, Haeyong Shin, Sang Yun Seo, Jeong Hun Risk for metabolic syndrome in the population with visceral fat area measured by bioelectrical impedance analysis |
title | Risk for metabolic syndrome in the population with visceral fat area measured by bioelectrical impedance analysis |
title_full | Risk for metabolic syndrome in the population with visceral fat area measured by bioelectrical impedance analysis |
title_fullStr | Risk for metabolic syndrome in the population with visceral fat area measured by bioelectrical impedance analysis |
title_full_unstemmed | Risk for metabolic syndrome in the population with visceral fat area measured by bioelectrical impedance analysis |
title_short | Risk for metabolic syndrome in the population with visceral fat area measured by bioelectrical impedance analysis |
title_sort | risk for metabolic syndrome in the population with visceral fat area measured by bioelectrical impedance analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820642/ https://www.ncbi.nlm.nih.gov/pubmed/32340088 http://dx.doi.org/10.3904/kjim.2018.427 |
work_keys_str_mv | AT jeonhanho riskformetabolicsyndromeinthepopulationwithvisceralfatareameasuredbybioelectricalimpedanceanalysis AT leeyongkang riskformetabolicsyndromeinthepopulationwithvisceralfatareameasuredbybioelectricalimpedanceanalysis AT kimdonghyun riskformetabolicsyndromeinthepopulationwithvisceralfatareameasuredbybioelectricalimpedanceanalysis AT pakhaeyong riskformetabolicsyndromeinthepopulationwithvisceralfatareameasuredbybioelectricalimpedanceanalysis AT shinsangyun riskformetabolicsyndromeinthepopulationwithvisceralfatareameasuredbybioelectricalimpedanceanalysis AT seojeonghun riskformetabolicsyndromeinthepopulationwithvisceralfatareameasuredbybioelectricalimpedanceanalysis |