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Determinant of Arterial Stiffness in Young Adults 원문보기

Journal of experimental & biomedical sciences = 대한의생명과학회지, v.12 no.3, 2006년, pp.191 - 196  

Jo Yoon-Kyung (Department of Clinical Laboratory Science, Dongnam Health College) ,  Jeon Justin Y. (Department of Sport and Leisure Studies, Yonsei University) ,  Kim Eun-Sung (Department of Sport and Leisure Studies, Yonsei University) ,  Jekal Youn-Suk (Department of Sport and Leisure Studies, Yonsei University) ,  Eom Yong-Bin (Devision of Forensic Medicine, National Institute of Scientific Investigation) ,  Im Jee-Aee (Department of Laboratory Medicine, MizMedi Hospital)

Abstract AI-Helper 아이콘AI-Helper

Cardiovascular disease (CVD) risk factors may be acting several decades before CVD becomes manifest. Data from young subjects may be valuable in further elucidating at this issue. We evaluated the association between baPWV (brachial-ankle pulse wave velocity) and cardiovascular risk factors in appar...

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제안 방법

  • The distance between the right brachium and ankle was estimated based on body height. In addition, because there was a significant correlation between the right PWV and left PWV we used the resulting mean PWV for analysis. The coefficient of variation for interobserver reproducibility was 3.

데이터처리

  • Chi-square tests were performed for proportion of smoking status and alcohol consumption. An analysis of variance (ANOVA) was performed to assess the differences in baPWV levels according to metabolic syndrome. Pearsonfs correlation coefficients were calculated to evaluate the relationship between baPWV and clinical variables.
  • hs-CRP was logarithmically transformed prior to statistical testing to improve normality. Clinical and metabolic characteristics between genders of the study population were compared using the t~test for continuous variables. Chi-square tests were performed for proportion of smoking status and alcohol consumption.
  • Coefficients (r) and P-values were calculated by the Pearson correlation model.
  • P-values are calculated by t-test.
  • An analysis of variance (ANOVA) was performed to assess the differences in baPWV levels according to metabolic syndrome. Pearsonfs correlation coefficients were calculated to evaluate the relationship between baPWV and clinical variables. We used multiple linear regression analysis to the multivariates associations between baPWV as a dependent variable and CVD risk factors.

이론/모형

  • Blood samples were obtained from each participant after an 8-h overnight fast from an antecubital vein, and placed into plain vacutainer. High sensitivity C-reactive protein (hs-CRP), fasting glucose, total cholesterol, triglyceride, and HDL-cholesterol were measured by an AD VIA 1650 Chemistry system (Bayer, Tarrytowns NY USA), and LDL- cholesterol was calculated from the Friedewald equation (Friedewald et al., 1972). Fasting insulin was measured by electrochemilumi nescence immunoassay (Roche, Indianapolis, IN, USA).
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