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Impact of Clinical Characteristics of Individual Metabolic Syndrome on the Severity of Insulin Resistance in Chinese Adults
The impact the metabolic syndrome (MetS) components on the severity of insulin resistance (IR) has not been reported. We enrolled 564 subjects with MetS and they were divided into quartiles according to the level of each component; and an insulin suppression test was performed to measure IR. In male...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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The Korean Academy of Medical Sciences
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2693573/ https://www.ncbi.nlm.nih.gov/pubmed/17297255 http://dx.doi.org/10.3346/jkms.2007.22.1.74 |
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author | Hsieh, Chang-Hsun Hung, Yi-Jen Wu, Du-An Kuo, Shi-Wen Lee, Chien-Hsing Sheu, Wayne Huey-Herng Li, Jer-Chuan Yeh, Kuan-Hung Chen, Cheng-Yu Pei, Dee |
author_facet | Hsieh, Chang-Hsun Hung, Yi-Jen Wu, Du-An Kuo, Shi-Wen Lee, Chien-Hsing Sheu, Wayne Huey-Herng Li, Jer-Chuan Yeh, Kuan-Hung Chen, Cheng-Yu Pei, Dee |
author_sort | Hsieh, Chang-Hsun |
collection | PubMed |
description | The impact the metabolic syndrome (MetS) components on the severity of insulin resistance (IR) has not been reported. We enrolled 564 subjects with MetS and they were divided into quartiles according to the level of each component; and an insulin suppression test was performed to measure IR. In males, steady state plasma glucose (SSPG) levels in the highest quartiles, corresponding to body mass index (BMI) and fasting plasma glucose (FPG), were higher than the other three quartiles and the highest quartiles, corresponding to the diastolic blood pressure and triglycerides, were higher than in the lowest two quartiles. In females, SSPG levels in the highest quartiles, corresponding to the BMI and triglycerides, were higher than in all other quartiles. No significant differences existed between genders, other than the mean SSPG levels in males were greater in the highest quartile corresponding to BMI than that in the highest quartile corresponding to HDL-cholesterol levels. The factor analysis identified two underlying factors (IR and blood pressure factors) among the MetS variables. The clustering of the SSPG, BMI, triglyceride and HDL-cholesterol was noted. Our data suggest that adiposity, higher FPG and triglyceride levels have stronger correlation with IR and subjects with the highest BMI have the highest IR. |
format | Text |
id | pubmed-2693573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | The Korean Academy of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-26935732009-06-11 Impact of Clinical Characteristics of Individual Metabolic Syndrome on the Severity of Insulin Resistance in Chinese Adults Hsieh, Chang-Hsun Hung, Yi-Jen Wu, Du-An Kuo, Shi-Wen Lee, Chien-Hsing Sheu, Wayne Huey-Herng Li, Jer-Chuan Yeh, Kuan-Hung Chen, Cheng-Yu Pei, Dee J Korean Med Sci Original Article The impact the metabolic syndrome (MetS) components on the severity of insulin resistance (IR) has not been reported. We enrolled 564 subjects with MetS and they were divided into quartiles according to the level of each component; and an insulin suppression test was performed to measure IR. In males, steady state plasma glucose (SSPG) levels in the highest quartiles, corresponding to body mass index (BMI) and fasting plasma glucose (FPG), were higher than the other three quartiles and the highest quartiles, corresponding to the diastolic blood pressure and triglycerides, were higher than in the lowest two quartiles. In females, SSPG levels in the highest quartiles, corresponding to the BMI and triglycerides, were higher than in all other quartiles. No significant differences existed between genders, other than the mean SSPG levels in males were greater in the highest quartile corresponding to BMI than that in the highest quartile corresponding to HDL-cholesterol levels. The factor analysis identified two underlying factors (IR and blood pressure factors) among the MetS variables. The clustering of the SSPG, BMI, triglyceride and HDL-cholesterol was noted. Our data suggest that adiposity, higher FPG and triglyceride levels have stronger correlation with IR and subjects with the highest BMI have the highest IR. The Korean Academy of Medical Sciences 2007-02 2007-02-28 /pmc/articles/PMC2693573/ /pubmed/17297255 http://dx.doi.org/10.3346/jkms.2007.22.1.74 Text en Copyright © 2007 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 Hsieh, Chang-Hsun Hung, Yi-Jen Wu, Du-An Kuo, Shi-Wen Lee, Chien-Hsing Sheu, Wayne Huey-Herng Li, Jer-Chuan Yeh, Kuan-Hung Chen, Cheng-Yu Pei, Dee Impact of Clinical Characteristics of Individual Metabolic Syndrome on the Severity of Insulin Resistance in Chinese Adults |
title | Impact of Clinical Characteristics of Individual Metabolic Syndrome on the Severity of Insulin Resistance in Chinese Adults |
title_full | Impact of Clinical Characteristics of Individual Metabolic Syndrome on the Severity of Insulin Resistance in Chinese Adults |
title_fullStr | Impact of Clinical Characteristics of Individual Metabolic Syndrome on the Severity of Insulin Resistance in Chinese Adults |
title_full_unstemmed | Impact of Clinical Characteristics of Individual Metabolic Syndrome on the Severity of Insulin Resistance in Chinese Adults |
title_short | Impact of Clinical Characteristics of Individual Metabolic Syndrome on the Severity of Insulin Resistance in Chinese Adults |
title_sort | impact of clinical characteristics of individual metabolic syndrome on the severity of insulin resistance in chinese adults |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2693573/ https://www.ncbi.nlm.nih.gov/pubmed/17297255 http://dx.doi.org/10.3346/jkms.2007.22.1.74 |
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