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Does Waist Indicate Dyslipidemia better than BMI in Korean Adult Population?
Obesity is an independent and modifiable risk factor for cardiovascular disease, and known as a core of the metabolic syndrome. Obesity has been largely diagnosed based upon anthrompometric measurements like waist circumference (WC) and body mass index (BMI). We sought to determine associations betw...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
The Korean Academy of Medical Sciences
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808579/ https://www.ncbi.nlm.nih.gov/pubmed/15716594 http://dx.doi.org/10.3346/jkms.2005.20.1.7 |
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author | Jeong, Seul-Ki Seo, Man-Wook Kim, Young-Hyun Kweon, Sun-Seog Nam, Hae-Sung |
author_facet | Jeong, Seul-Ki Seo, Man-Wook Kim, Young-Hyun Kweon, Sun-Seog Nam, Hae-Sung |
author_sort | Jeong, Seul-Ki |
collection | PubMed |
description | Obesity is an independent and modifiable risk factor for cardiovascular disease, and known as a core of the metabolic syndrome. Obesity has been largely diagnosed based upon anthrompometric measurements like waist circumference (WC) and body mass index (BMI). We sought to determine associations between anthropometric measurements and dyslipidemia in a community adult sample composed of 1,032 community residents (356 men, 676 women) aged 50 yr and over in Namwon, Korea. Blood tests for lipid profiles, including total cholesterol (TC) and HDL cholesterol (HDL) were performed, and dyslipidemia was defined as TC/HDL greater than 4. Anthropometric measurements included WC, waist-to-height ratio (WHtR), waist-to-hip ratio, and BMI. All anthropometric measures were categorized into quartiles and evaluated for associations with dyslipidemia. TC/HDL showed the significant associations with the anthropometric measures, independently of potential confounders. In women, increases of obesity indexes by quartile analyses showed linear increases of odds ratios for dyslipidemia (p values <0.01 by trend test). In men, except BMI, same patterns of association were noted. WC and WHtR were significantly associated with dyslipidemia in Korean adult population. As a simple and non-invasive method for a detection of obesity and dyslipidemia, anthropometric measurements could be efficiently used in clinical and epidemiologic fields. |
format | Text |
id | pubmed-2808579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | The Korean Academy of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-28085792010-01-20 Does Waist Indicate Dyslipidemia better than BMI in Korean Adult Population? Jeong, Seul-Ki Seo, Man-Wook Kim, Young-Hyun Kweon, Sun-Seog Nam, Hae-Sung J Korean Med Sci Original Article Obesity is an independent and modifiable risk factor for cardiovascular disease, and known as a core of the metabolic syndrome. Obesity has been largely diagnosed based upon anthrompometric measurements like waist circumference (WC) and body mass index (BMI). We sought to determine associations between anthropometric measurements and dyslipidemia in a community adult sample composed of 1,032 community residents (356 men, 676 women) aged 50 yr and over in Namwon, Korea. Blood tests for lipid profiles, including total cholesterol (TC) and HDL cholesterol (HDL) were performed, and dyslipidemia was defined as TC/HDL greater than 4. Anthropometric measurements included WC, waist-to-height ratio (WHtR), waist-to-hip ratio, and BMI. All anthropometric measures were categorized into quartiles and evaluated for associations with dyslipidemia. TC/HDL showed the significant associations with the anthropometric measures, independently of potential confounders. In women, increases of obesity indexes by quartile analyses showed linear increases of odds ratios for dyslipidemia (p values <0.01 by trend test). In men, except BMI, same patterns of association were noted. WC and WHtR were significantly associated with dyslipidemia in Korean adult population. As a simple and non-invasive method for a detection of obesity and dyslipidemia, anthropometric measurements could be efficiently used in clinical and epidemiologic fields. The Korean Academy of Medical Sciences 2005-02 2005-02-25 /pmc/articles/PMC2808579/ /pubmed/15716594 http://dx.doi.org/10.3346/jkms.2005.20.1.7 Text en Copyright © 2005 The Korean Academy of Medical Sciences 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 Jeong, Seul-Ki Seo, Man-Wook Kim, Young-Hyun Kweon, Sun-Seog Nam, Hae-Sung Does Waist Indicate Dyslipidemia better than BMI in Korean Adult Population? |
title | Does Waist Indicate Dyslipidemia better than BMI in Korean Adult Population? |
title_full | Does Waist Indicate Dyslipidemia better than BMI in Korean Adult Population? |
title_fullStr | Does Waist Indicate Dyslipidemia better than BMI in Korean Adult Population? |
title_full_unstemmed | Does Waist Indicate Dyslipidemia better than BMI in Korean Adult Population? |
title_short | Does Waist Indicate Dyslipidemia better than BMI in Korean Adult Population? |
title_sort | does waist indicate dyslipidemia better than bmi in korean adult population? |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808579/ https://www.ncbi.nlm.nih.gov/pubmed/15716594 http://dx.doi.org/10.3346/jkms.2005.20.1.7 |
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