Diabetes & Metabolism Journal

Sun Ha Jee (Jee SH)

2 Articles

Serum Adiponectin and Type 2 Diabetes: A 6-Year Follow-Up Cohort Study: Sun Ha Jee, Chul Woo Ahn, Jong Suk Park, Chang Gyu Park, Hyon-Suk Kim, Sang-Hak Lee, Sungha Park, Myoungsook Lee, Chang Beom Lee, Hye Soon Park, Heejin Kimm, Sung Hee Choi, Jidong Sung, Seungjoon Oh, Hyojee Joung, Sung Rae Kim, Ho-Joong Youn, Sun Mi Kim, Hong Soo Lee, Yejin Mok, Eunmi Choi, Young Duk Yun, Soo-Jin Baek, Jaeseong Jo, Kap Bum Huh; Diabetes Metab J. 2013;37(4):252-261. Published online August 14, 2013; DOI: https://doi.org/10.4093/dmj.2013.37.4.252

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Background

Studies on factors which may predict the risk of diabetes are scarce. This prospective cohort study was conducted to determine the association between adiponectin and type 2 diabetes among Korean men and women.

Methods

A total of 42,845 participants who visited one of seven health examination centers located in Seoul and Gyeonggi province, Republic of Korea between 2004 and 2008 were included in this study. The incidence rates of diabetes were determined through December 2011. To evaluate the effects of adiponectin on type 2 diabetes, the Cox proportional hazard model was used.

Results

Of the 40,005 participants, 959 developed type 2 diabetes during a 6-year follow-up. After the adjustment for age, body mass index (BMI), and waist circumference, the risks for type 2 diabetes in participants with normoglycemia had a 1.70-fold (95% confidence interval [CI], 1.21 to 2.38) increase in men and a 1.83-fold (95% CI, 1.17 to 2.86) increase in women with the lowest tertile of adiponectin when compared to the highest tertile of adiponectin. For participants with impaired fasting glucose (IFG), the risk for type 2 diabetes had a 1.46-fold (95% CI, 1.17 to 1.83) increase in men and a 2.52-fold (95% CI, 1.57 to 4.06) increase in women with the lowest tertile of adiponectin. Except for female participants with normoglycemia, all the risks remained significant after the adjustment for fasting glucose and other confounding variables. Surprisingly, BMI and waist circumference were not predictors of type 2 diabetes in men or women with IFG after adjustment for fasting glucose and other confounders.

Conclusion

A strong association between adiponectin and diabetes was observed. The use of adiponectin as a predictor of type 2 diabetes is considered to be useful.

Citations

Citations to this article as recorded by

Adiponectin and metabolic cardiovascular diseases: Therapeutic opportunities and challenges
Xiaotian Lei, Sheng Qiu, Gangyi Yang, Qinan Wu
Genes & Diseases.2023; 10(4): 1525. CrossRef
Low levels of total and high-molecular-weight adiponectin may predict non-alcoholic fatty liver in Korean adults
Young-Sang Kim, Soo-Hyun Lee, Seung Geon Park, Bo Youn Won, Hyejin Chun, Doo-Yeoun Cho, Moon-Jong Kim, Ji Eun Lee, Ji-Hee Haam, Kunhee Han
Metabolism.2020; 103: 154026. CrossRef
Anti-inflammatory effects of sucrose-derived oligosaccharides produced by a constitutive mutant L. mesenteroides B-512FMCM dextransucrase in high fat diet-fed mice
Min-Gyung Kang, Hee Jae Lee, Jae-Young Cho, Kanghwa Kim, Soo Jin Yang, Doman Kim
Biochemical and Biophysical Research Communications.2016; 477(3): 350. CrossRef
Adiponectin as a Protective Factor Against the Progression Toward Type 2 Diabetes Mellitus in Postmenopausal Women
Hossein Darabi, Alireza Raeisi, Mohammad Reza Kalantarhormozi, Afshin Ostovar, Majid Assadi, Kamyar Asadipooya, Katayoun Vahdat, Sina Dobaradaran, Iraj Nabipour
Medicine.2015; 94(33): e1347. CrossRef
Effect of ketotifen in obese patients with type 2 diabetes mellitus
Sahar M. El-Haggar, Wael F. Farrag, Fedaa A. Kotkata
Journal of Diabetes and its Complications.2015; 29(3): 427. CrossRef
Smoking and Diabetes: Is the Association Mediated by Adiponectin, Leptin, or C-reactive Protein?
Esayas Haregot Hilawe, Hiroshi Yatsuya, Yuanying Li, Mayu Uemura, Chaochen Wang, Chifa Chiang, Hideaki Toyoshima, Koji Tamakoshi, Yan Zhang, Nobuo Kawazoe, Atsuko Aoyama
Journal of Epidemiology.2015; 25(2): 99. CrossRef
Association between the level of circulating adiponectin and prediabetes: A meta‐analysis
Huasheng Lai, Nie Lin, Zhenzhen Xing, Huanhuan Weng, Hua Zhang
Journal of Diabetes Investigation.2015; 6(4): 416. CrossRef
Adiponectin as a Biomarker of Osteoporosis in Postmenopausal Women: Controversies
Anna Lubkowska, Aleksandra Dobek, Jan Mieszkowski, Wojciech Garczynski, Dariusz Chlubek
Disease Markers.2014; 2014: 1. CrossRef
Modulation of adiponectin as a potential therapeutic strategy
Soo Lim, Michael J. Quon, Kwang Kon Koh
Atherosclerosis.2014; 233(2): 721. CrossRef

The Relationship between the Level of Fatness and Fitness during Adolescence and the Risk Factors of Metabolic Disorders in Adulthood: Yoonsuk Jekal, Ji Eun Yun, Sang Wook Park, Sun Ha Jee, Justin Y Jeon; Korean Diabetes J. 2010;34(2):126-134. Published online April 30, 2010; DOI: https://doi.org/10.4093/kdj.2010.34.2.126

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33 Download
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Abstract PDF PubReader

Background

The purpose of the current study was to investigate the association between the level of obesity and physical fitness (PF) during adolescence and the risk factors of metabolic disorders during adulthood.

Methods

In the current analysis, 3,993 Korean adults (mean age, 38.70 ± 1.69 years) were recruited. The level of body index (BI) and PF were examined during adolescence through high school record, and their health examination data, including systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting glucose (FG), total cholesterol (TC), and current body mass index (BMI) were obtained from National Health Insurance Corporation Data. Gender-specific analyses were administered to compare health exam data across the level of BI, the level of PF, and a mixed level of BI and PF.

Results

Most obese males during high school had statistically higher SBP, DBP, FG, and BMI in adulthood, and most obese females had higher BMI, as compared to most lean males or females. Least fit males during high school had statistically higher BMI in adulthood, and least fit females had statistically higher SBP, DBP, FG, TC, and BMI, as compared to most fit males or females. There was a significant relationship between the mixed level of BI and PF and SBP, DBP, TC and current BMI in both genders.

Conclusion

Maintaining a healthy level of body weight and PF during adolescence is recommended to prevent the development of metabolic diseases in adulthood.

Citations

Citations to this article as recorded by

A cross‐sectional study on the use of big data for the past H1N1 influenza epidemic in obesity after COVID‐19: Focused on the body slimming cream and leptin via DTC gene test
Jinkyung Lee, Ki Han Kwon
Journal of Cosmetic Dermatology.2022; 21(11): 5321. CrossRef
Aerobic fitness in late adolescence and the risk of cancer and cancer-associated mortality in adulthood: A prospective nationwide study of 1.2 million Swedish men
G. Högström, H. Ohlsson, C. Crump, J. Sundquist, K. Sundquist
Cancer Epidemiology.2019; 59: 58. CrossRef
Study Time after School and Habitual Eating Are Associated with Risk for Obesity among Overweight Korean Children: A Prospective Study
Eun Young Lee, Borami Kang, Yeoree Yang, Hae Kyung Yang, Hun-Sung Kim, Sun-Young Lim, Jin-Hee Lee, Seong-Su Lee, Byung-Kyu Suh, Kun-Ho Yoon
Obesity Facts.2018; 11(1): 46. CrossRef
Differences in Dietary Life and Health related Factors According to Obesity in Poor Urban Peruvian Adolescents
Hye-Kyung Chung, Hae-Young Lee, Jin Ri Kim, Eun Woo Nam
Korean Journal of Community Nutrition.2018; 23(4): 302. CrossRef
The influence of aerobic fitness on obesity and its parent-offspring correlations in a cross-sectional study among German families
Ronja Foraita, Mirko Brandes, Frauke Günther, Karin Bammann, Iris Pigeot, Wolfgang Ahrens
BMC Public Health.2015;[Epub] CrossRef
The Effect of Participation in Physical Activity “The Development of Fitness” Class on Physical Fitness and Risk Factors for Metabolic Syndrome of University Students in Korea
김동일, Justin Jeon, 이해동, 박지혜, 홍성현
Korean Journal of Sport Science.2012; 23(3): 478. CrossRef
Epidemiology and prevention of stroke: a worldwide perspective
Elena V Kuklina, Xin Tong, Mary G George, Pooja Bansil
Expert Review of Neurotherapeutics.2012; 12(2): 199. CrossRef
Fitness, Fatness, and Cardiovascular Disease Risk and Outcomes
John M. Jakicic, Anne E. Mishler, Renee Rogers
Current Cardiovascular Risk Reports.2011; 5(2): 113. CrossRef
Epidemiology of Physical Activity Participation and Type 2 Diabetes in Korea
Yoonsuk Jekal, Justin Y Jeon
Journal of Korean Diabetes.2011; 12(1): 13. CrossRef
Relationship Between Trajectories of Trunk Fat Mass Development in Adolescence and Cardiometabolic Risk in Young Adulthood
Lauren B. Sherar, Joe C. Eisenmann, Philip D. Chilibeck, Nazeem Muhajarine, Susanna Martin, Donald A. Bailey, Adam D.G. Baxter‐Jones
Obesity.2011; 19(8): 1699. CrossRef

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