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Ji Eun Yun 7 Articles
Adiponectin is Associated with Impaired Fasting Glucose in the Non-Diabetic Population
Sang Yeun Kim, Sun Ju Lee, Hyoun Kyoung Park, Ji Eun Yun, Myoungsook Lee, Jidong Sung, Sun Ha Jee
Epidemiol Health. 2011;33:e2011007.   Published online August 20, 2011
DOI: https://doi.org/10.4178/epih/e2011007
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  • 7 Citations
AbstractAbstract PDF
Abstract
OBJECTIVES

Adiponectin is strongly associated with diabetes in the Western population. However, whether adiponectin is independently associated with impaired fasting glucose (IFG) in the non-obese population is unknown.

METHODS

The serum adiponectin, insulin resistance (IR), and waist circumference (WC) of 27,549 healthy Koreans were measured. Individuals were then classified into tertile groups by gender. IFG was defined as a fasting serum glucose of 100-125 mg/dL without diabetes. IR was calculated using the homeostasis model assessment of insulin resistance (HOMA-IR). The association of adiponectin and IFG was determined using logistic regression analysis.

RESULTS

WC and adiponectin were associated with IFG in both men and women. However, the association of WC with IFG was attenuated in both men and women after adjustment for the HOMA-IR. Adiponectin was still associated with IFG after adjustment for and stratification by HOMA-IR in men and women. Strong combined associations of IR and adiponectin with IFG were observed in men and women. Multivariate adjusted odds ratios (ORs) (95% confidence interval [CI]) among those in the highest tertile of IR and the lowest tertile of adiponectin were 9.8 (7.96 to 12.07) for men and 24.1 (13.86 to 41.94) for women.

CONCLUSION

These results suggest that adiponectin is strongly associated with IFG, and point to adiponectin as an additional diagnostic biomarker of IFG in the non-diabetic population.

Summary
Korean summary
Key Message

Citations

Citations to this article as recorded by  
  • Determination of risk factors associated with inflammation in hypertensive patients with type-2 diabetes mellitus in a Palestinian Diabetes Study
    Mohammed S. Ellulu, Ihab A. Naser, Sahar M. Abuhajar, Ahmed A. Najim
    Current Medical Research and Opinion.2021; 37(9): 1451.     CrossRef
  • Insulin and Proinsulin Dynamics Progressively Deteriorate From Within the Normal Range Toward Impaired Glucose Tolerance
    Norimitsu Murai, Naoko Saito, Eriko Kodama, Tatsuya Iida, Kentaro Mikura, Hideyuki Imai, Mariko Kaji, Mai Hashizume, Yasuyoshi Kigawa, Go Koizumi, Rie Tadokoro, Chiho Sugisawa, Kei Endo, Toru Iizaka, Ryo Saiki, Fumiko Otsuka, Shun Ishibashi, Shoichiro Nag
    Journal of the Endocrine Society.2020;[Epub]     CrossRef
  • Association between the level of circulating adiponectin and prediabetes: A meta‚Äźanalysis
    Huasheng Lai, Nie Lin, Zhenzhen Xing, Huanhuan Weng, Hua Zhang
    Journal of Diabetes Investigation.2015; 6(4): 416.     CrossRef
  • Comparison of salivary and plasma adiponectin and leptin in patients with metabolic syndrome
    Supanee Thanakun, Hisashi Watanabe, Sroisiri Thaweboon, Yuichi Izumi
    Diabetology & Metabolic Syndrome.2014;[Epub]     CrossRef
  • Adiponectin as predictor for diabetes among pre-diabetic groups
    Hyon-Suk Kim, Jaeseong Jo, Jung Eun Lim, Young Duk Yun, Soo Jin Baek, Tae-Yong Lee, Kap Bum Huh, Sun Ha Jee
    Endocrine.2013; 44(2): 411.     CrossRef
  • Attenuation of plasma annexin A1 in human obesity
    Anna Kosicka, Adam D. Cunliffe, Richard Mackenzie, M. Gulrez Zariwala, Mauro Perretti, Roderick J. Flower, Derek Renshaw
    The FASEB Journal.2013; 27(1): 368.     CrossRef
  • Association between ADIPOQ SNPs with plasma adiponectin and glucose homeostasis and adiposity phenotypes in the IRAS Family Study
    S. Sandy An, Anthony J.G. Hanley, Julie T. Ziegler, W. Mark Brown, Steven M. Haffner, Jill M. Norris, Jerome I. Rotter, Xiuqing Guo, Y.-D. Ida Chen, Lynne E. Wagenknecht, Carl D. Langefeld, Donald W. Bowden, Nicholette D. Palmer
    Molecular Genetics and Metabolism.2012; 107(4): 721.     CrossRef
The Association Between Adiponectin and Diabetes in the Korean Population.
Sun Ha Jee, Hee Yeon Lee, Sun Ju Lee, Ji Eun Yun, Eun Jung Jee, Hye Yun Song, Sang Yeun Kim, Jungyong Park, Hyon Suk Kim
Korean J Epidemiol. 2007;29(2):176-186.
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AbstractAbstract PDF
Abstract
BACKGROUND
As indicators of obesity, waist circumference (WC), body mass index (BMI), and adiponectin are well known risk factor for diabetes mellitus. The objectives of this study were to measure the independent association between these obesity indicators and diabetes and to examine the combined effect of these indicators on diabetes in a Korean population.
METHODS
The WC, BMI, and serum adiponectin were measured in 6,505 healthy Koreans and were classified into tertile groups for men and women. The independent and combined associations of the obesity indicators with diabetes were measured using logistic regression analyses. Diabetes was defined as fasting serum glucose greater than 126 mg/dL or taking medication.
RESULTS
Levels of adiponectin were inversely associated with BMI and WC and directly associated with age and high density lipoprotein cholesterol (HDL) cholesterol (P <0.001). After adjusting for age, WC, and other lifestyle factors, low levels of adiponectin were associated with an increased prevalence of diabetes. Further adjustment for HDL cholesterol and triglyceride attenuated this association in both men and women. The best cut-off value of adiponectin in terms of identifying the presence of diabetes was 5.5 /ml with a sensitivity and specificity of 46.7% and 63.9% for men and 9.5 /ml with a sensitivity and specificity of 68.2% and 55.2 for women.
CONCLUSIONS
These results suggest that adiponectin was associated with diabetes. The association was independent of WC and was partly modified by HDL and triglyceride. There were no effect modifications of adiponectin with WC on diabetes.
Summary
Korean summary
Key Message
Development of ELISA-kit of Quantitative Analysis for Adiponectin and Their Correlation with Cardiovascular Risk Factors.
Sun Ha Jee, Seungbok Lee, Sungsik Min, Jungyong Park, Hyon Suk Kim, Sang Yeun Kim, Ji Eun Yun, Sun Ju Lee, Eun Jung Jee, Hee Yeon Lee, Hye Yun Song
Korean J Epidemiol. 2007;29(2):165-175.
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AbstractAbstract PDF
Abstract
PURPOSE
S: To develop a rapid, sensitive, qualitative ELISA-kit for serum adiponectin and examine correlation with adiponectin and cardiovascular risk factors.
METHODS
On the base of monoclonal antibodies against adiponectin, apply indirect ELISA to study the performance parameter of the kit. The correlation was examined between adiponectin and cardiovascular risk factors including waist circumference, body mass index, triglyceride, and HDL cholesterol.
RESULTS
The limited concentration of detection of the ELISA-kit was 1ug/ml. Linearity with R&D system and AdipoGen with this ELISA-kit was acceptable: the linear equation with R&D system was y=1.0116x + 0.4629 (R2=0.97) and linear equation with AdipoGen was y=0.9562x + 1.1961 (R2=0.93), respectively. The average recovery rate of the ELISA-kit ranged 92 to 104%. The correlation coefficient of waist circumference with adiponectin was -0.2276 (p<0.0001) among men and -0.2328 (p<0.0001) among women.
CONCLUSION
This ELISA-kit was quick, sensitive, and stable and can be used to determine adiponectin in serum.
Summary
Korean summary
Key Message
The association between insulin resistance and Framingham risk score among type 2 diabetes.
Hee Sook Park, Ji Eun Yun, Soo Jin Yoon, Eurin Cho, Kyung A Ahn, Seok Won Park, Chul Woo Ahn, Dae Jung Kim, Young Duk Song, Young Ju Choi, Mi Ae Cho, Eun Jig Lee, Kap Bum Huh, Sun Ha Jee
Korean J Epidemiol. 2007;29(1):46-58.
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AbstractAbstract PDF
Abstract
BACKGROUND
AND PURPOSE: Insulin resistance has been known to be associated with the risk of cardiovascular diseases. However, the relationship with Framingham risk score among type 2 diabetes has not been well known. We investigated the relationship between insulin resistance (IR) and the Framingham risk score(FRS) among type 2 diabetes in Korea.
METHODS
We estimated the 5-year risk of ischemic heart disease(IHD) based on Framingham equation among 1,941 diabetes patients(1,294 men and 647 women), who visited Huh's clinic, enrolled from January 2003 to June 2006. IR, which was measured by insulin tolerance test (ITT), was divided into five groups(Q1 to Q5). High risk of IHD was defined as upper 10 percentile of FRS. Multivariate regression and logistic regression models were used to see independent association of higher quintiles of IR level, compared with lowest quintile(Q1) for the risk of IHD.
RESULTS
Mean (+/-standard deviation) 5-year FRS of study subjects were 8.40%(+/-6.89) for men and 5.92%(+/-5.23) for women. There were significant correlation between IR, body mass index, HbA1C, fasting glucose, triglyceride, LDL-cholesterol, C-peptide and FRS in both men and women. After adjusting for triglyceride, LDL-cholesterol, C-peptide, multivariate regression model analysis showed that IR was independently associated with the FRS. A positive association between IR and high risk of IHD was observed in men: highest versus lowest quintile of IR (odds ratio 5.45 in men and 4.71 in women).
CONCLUSION
Increased IR level was independently associated with risk of IHD measured by FRS among type 2 diabetes in Korea.
Summary
Korean summary
Key Message
Framingham Equation Model Overestimates Risk of Ischemic Heart Disease in Korean Men and Women.
Kyung A Ahn, Ji Eun Yun, Eo Rin Cho, Chung Mo Nam, Yangsu Jang, Sun Ha Jee
Korean J Epidemiol. 2006;28(2):162-170.
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AbstractAbstract PDF
Abstract
BACKGROUND
The prediction of the absolute risk of ischemic heart disease (IHD) is commonly based on the risk prediction equations, originated from the Framingham Heart Study.
METHOD
Framingham equation model was applied to participants from 2001 Korean National Health and Nutrition Examination Survey (KNHNES) to estimate the 5 year risk of IHD among Koreans ranging from 30 to 74 year-olds. The estimated risks were compared to the incidence and admission rates from two statistical reports among Koreans. Five year admission rate was estimated by the annual report from National Health Insurance Corporation (NHIC).
RESULTS
The average ages (standard deviation) were 34.31(27.23) year-old for KNHNES and 48.26(12.87) year-old for Framingham population used in this study. The risk of IHD predicted by the Framingham equation model substantially exceeded the risks actually reported in Korea. Five-year predicted risks by Framingham equation model were 4.86% for men and 1.93% for women; whereas from incidence data in Korea, five-year risks for acute myocardial infarction (AMI) were for 0.47% for men and 0.18% for women. These AMI incidence was similar to the admission rate (0.34 for men and 0.15 for women) estimated by NHIC. Also, 5-year admission rate of IHD were 1.16 for men and 0.78 for women. The magnitude of risk overestimation by Framingham mode is approximately at least 150 to 320%.
CONCLUSION
Korean guidelines for the management for high risk group of IHD need to develop and correct for overestimation to avoid inflation of costs in primary prevention.
Summary
Korean summary
Key Message
Smoking and cause of death in Korea: 11 years follow-up prospective study.
Sun Ha Jee, Ji Eun Yun, Jung Yong Park, Jae Woong Sull, Il Soon Kim
Korean J Epidemiol. 2005;27(1):182-190.
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AbstractAbstract PDF
Abstract
OBJECTIVE: In Korea, male smoking prevalence is among the world's highest and mortality rates from smoking-caused cancers, particularly lung cancer, are escalating. This cohort study examined the effects of cigarette smoking on the risk of mortality from all causes, cancers and cardiovascular diseases(CVD), and characterized the relationship of the risk with the amount and duration of cigarette smoking.
METHOD
A eleven-year prospective cohort study was carried out of on 1,207,592 Koreans, 30 to 95 years of age. The study population includes participants in a national insurance program, who completed a questionnaire on smoking and other risk factors. The main outcome measures were death from all causes, cancer and CVD, obtained through record linkage. At baseline, 482,997 men(60.0%) and 19,755(5.3%) women were current cigarette smokers.
RESULTS
In multivariate Cox proportional hazards models, controlling for age, alcohol drinking, exercise, and obesity, current smoking among men increased the risks of mortality from all cause death (relative risk[RR], 1.56; 95% confidence interval[CI], 1.52~1.59), all cancer (1.75, 1.68~1.82), and CVD(1.46, 1.38~1.55). Similar results were found for mortality among women. Smoking also increased the risks of mortality for cancer of the lung(4.60, 4.09~5.33) and other cancers, including larynx, bile duct, esophagus, liver, stomach, pancreas, bladder, and also leukemia. Current smoking among women increased the risk of lung cancer mortality(RR=2.83, 95% CI 2.38~3.36).
CONCLUSION
In Korea, smoking is an independent risk factor for death from all causes, CVD and a number of major cancers. The findings affirm the need for aggressive tobacco control in Korea in order to minimize the epidemic of smoking-caused disease.
Summary
Korean summary
Key Message
Heritability and segregation analysis of the level of HDL-cholesterol.
Ji Eun Yun, Chung Mo Nam, Il Suh, Sun Ha Jee
Korean J Epidemiol. 2004;26(2):43-53.
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AbstractAbstract PDF
Abstract
OBJECTIVES
The purpose of this study was to investigate the familial correlation and heritability in HDL cholesterol through segregation analysis.
METHODS
This study, based on data from 11,117 Korean individuals ascertained pedigrees who had participated in 1998 and 2001 Korean National Health & Nutrition Examination Survey. The subjects of segregation analysis were 4,688 Korean who had more than five members in their family.
RESULTS
Serum lipid levels revealed strong familial correlation among spouses, parent-offspring and siblings with low correlation of spouse. The heritability of HDL cholesterol was 54.8% after controlling for age, age2, gender, agexgender, waist circumference, smoking, alcohol drinking, exercise and education. Two models of inheritance, the Mendelian dominant model and the Mendelian codominant model were found in HDL cholesterol. In the codominant model, the predicted HDL-cholesterol for genotype AA, AB, and BB were 44.96, 49.13, and 69.67 mg/dl, respectively. However the Mendelian codominant model only was found in high risk families.
CONCLUSIONS
In conclusion, randomly ascertained Korean families of this study showed strong familial aggregation in HDL cholesterol. The results suggested that the variations in HDL cholesterol may be influencing by major effect of gene.
Summary
Korean summary
Key Message

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