| Home | E-Submission | Sitemap | Editorial Office |  
top_img
J Health Info Stat > Volume 37(2); 2012 > Article
J Health Info Stat 2012;37(2):37-46.
대사증후군 진단기준 개수와 관련된 임상 요인들
김누리 , 정휘수 , 김성우 , 이동욱 , 심민성 , 등건훈
Related Clinical Factors to Number of Diagnosing Criteria of Metabolic Syndrome
Nu Lee Kim , Hwee Soo Jeong , Sung Woo Kim , Dong Wook Lee , Min Sung Shim , Chen Hsuen Teong
ABSTRACT
Objectives:
Many clinical factors has associated with metabolic syndrome, but well-known factors related to number of diagnosing criteria of metabolic syndrome have been a few. This study was conducted in order to find out clinical factors associated with number of metabolic syndrome`s component. 43
Method:
This study was a cross-sectional study. Using medical records of 324 participants who received health check ups at health promotion center of a university hospital in Gyeongju from March to July 2011, age, body mass index (BMI), white blood cell count, liver enzyme, fasting insulin, total cholesterol, uric acid, ferreting, the degree of fatty liver and esophagi is were collected and analyzed. The diagnostic criteria of metabolic syndrome were based on the National Cholesterol Education Program`s Adults Treatment Panel (NCEP ATP) III study.91
Results:
Subjects who met to the diagnostic criteria of metabolic syndrome were 47 (14.5%). On ordinal logistic regression analysis, the clinical factors increasing components of metabolic syndrome were fatty liver (Odds ratio 2.60, 95% CI 1.48~4.537) elevated fasting insulin level (1.19, 1.08~1.31) and increasing age (1.07, 1.03~1.12).40
Conclusions:
Clinical factors related to number of diagnosing criteria of metabolic syndrome were fatty liver, elevated fasting insulin level and increasing age.22
Key words: Metabolic syndrome X, Fatty Liver, Insulin, Age
TOOLS
PDF Links  PDF Links
Full text via DOI  Full text via DOI
Download Citation  Download Citation
CrossRef TDM  CrossRef TDM
  E-Mail
Share:      
METRICS
359
View
6
Download
Related article
Editorial Office
The Korean Society of Health Informatics and Statistics
680 gukchaebosang-ro, Jung-gu, Daegu, 41944, Korea
E-mail: koshis@hanmail.net
About |  Browse Articles |  Current Issue |  For Authors and Reviewers
Copyright © The Korean Society of Health Informatics and Statistics. All rights reserved.                 Developed in M2Community