Epidemiology and Health

Original Articles

Factors Associated with Insulin Resistance in a Middle-Aged Non-Obese Rural Population: The Chungju Metabolic Disease Cohort (CMC) Study: Sun Young Lim, Hee Sung Ha, Hyuk-Sang Kwon, Jin-Hee Lee, Hyeon Woo Yim, Kun-Ho Yoon, Won-Chul Lee, Ho-Young Son, Yong-Moon Park; Epidemiol Health. 2011;33:e2011009. Published online September 26, 2011; DOI: https://doi.org/10.4178/epih/e2011009

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Abstract

<sec><title>OBJECTIVES</title>We aimed to determine the characteristics affecting insulin resistance in non-obese middle-aged adults in a rural community.</sec><sec><title>METHODS</title>A total of 1,270 non-diabetic adults aged between 40 and 64 years old with body mass index (BMI) less than 25 kg/m2 were analyzed. Subjects with insulin resistance were defined as those who had the highest quartile value of the homeostasis model assessment of insulin resistance (HOMA-IR) in a non-diabetic population.</sec><sec><title>RESULTS</title>A total of 217 subjects (20.6%) had insulin resistance. Prevalence of metabolic syndrome was significantly higher in insulin-resistant subjects in both men (29.3% vs. 10.3%) and women (34.1% vs. 15.6%). Among metabolic syndrome components, elevated waist circumference and elevated triglyceride were higher in insulin-resistant subjects in both genders. After being controlled for socioeconomic status and lifestyle related covariates, the association between insulin resistance and BMI was statistically significant in the category of 23.0-24.9 kg/m2 in men (adjusted OR, 4.63; 95% confidence interval [95% CI], 1.77-12.15) using the category of 18.5-20.9 kg/m2 as a reference. In addition, the association between insulin resistance and abdominal obesity was statistically significant only for men (adjusted OR, 2.57; 95% CI, 1.29-5.11).</sec><sec><title>CONCLUSION</title>Insulin resistance appears to be highly associated with high BMI and abdominal obesity, even in non-obese, non-diabetic middle-aged men.</sec>

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Relapsing-remitting multiple sclerosis patients display an altered lipoprotein profile with dysfunctional HDL
Winde Jorissen, Elien Wouters, Jeroen F. Bogie, Tim Vanmierlo, Jean-Paul Noben, Denis Sviridov, Niels Hellings, Veerle Somers, Roland Valcke, Bart Vanwijmeersch, Piet Stinissen, Monique T. Mulder, Alan T. Remaley, Jerome J. A. Hendriks
Scientific Reports.2017;[Epub] CrossRef
Insulin Resistance of Normal Weight Central Obese Adolescents in Korea Stratified by Waist to Height Ratio: Results from the Korea National Health and Nutrition Examination Surveys 2008–2010
Won Kyoung Cho, Hyojin Kim, Hyun Young Lee, Kyung Do Han, Yeon Jin Jeon, In Ah Jung, Shin Hee Kim, Kyoung Soon Cho, So Hyun Park, Min Ho Jung, Byung-Kyu Suh
International Journal of Endocrinology.2015; 2015: 1. CrossRef
Impact of ENPP1 K121Q on Change of Insulin Resistance after Web-Based Intervention in Korean Men with Diabetes and Impaired Fasting Glucose
Ji Yeon Kang, Sook Hee Sung, Yeon Ju Lee, Tae In Choi, Seung Jin Choi
Journal of Korean Medical Science.2014; 29(10): 1353. CrossRef
Genetic determinants of cardiometabolic risk: A proposed model for phenotype association and interaction
Piers R. Blackett, Dharambir K. Sanghera
Journal of Clinical Lipidology.2013; 7(1): 65. CrossRef

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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Abstract

<sec><title>OBJECTIVES</title>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.</sec><sec><title>METHODS</title>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.</sec><sec><title>RESULTS</title>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.</sec><sec><title>CONCLUSION</title>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.</sec>

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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‐analysis
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 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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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

Insulin resistance and cancer.: Hee Jin Kim, Sun Ha Jee; Korean J Epidemiol. 2005;27(2):38-50.

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Both obesity and diabetes have been proposed as risk factors of cancer. Obesity may be a more significant health problem, which can increase the risk of cancer and cardiovascular disease, which is the most common cause of death. Insulin resistance and metabolic syndrome are suspected of being correlated with cancer risk. Most studies are carried out on the assumption that obesity, diabetes, cardiovascular disease, and cancer are different conditions. However, they have common risk factors-smoking, obesity, and physical inactivity. Although the pathways leading to these diseases are unknown, we brought a focus into the multi-dimensional pathways instead of single pathogenesis. The interaction between pathogenesis can be thought to start from risk factors, and through pathogenesis, diseases can also lead to a severe cause of death. Epidemic of obesity and diabetes is a significant and growing public health problem. This paper reviewed the evidences of the correlation between insulin resistances and cancer and we explored whether insulin resistance may contribute to carcinogenesis.; Summary

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