References
- Abdul-Ghani MA, Tripathy D, DeFronzo RA. Contributions of beta-cell dysfunction and insulin resistance to the pathogenesis of impaired glucose tolerance and impaired fasting glucose. Diabetes Care 2006;29:1130-9. https://doi.org/10.2337/dc05-2179
- Noh J. The diabetes epidemic in Korea. Endocrinol Metab (Seoul) 2016;31:349-53. https://doi.org/10.3803/EnM.2016.31.3.349
- Danaei G, Finucane MM, Lu Y, Singh GM, Cowan MJ, Paciorek CJ, Lin JK, Farzadfar F, Khang YH, Stevens GA, Rao M, Ali MK, Riley LM, Robinson CA, Ezzati M; Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group (Blood Glucose). National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2.7 million participants. Lancet 2011;378:31-40. https://doi.org/10.1016/S0140-6736(11)60679-X
- Kodama K, Tojjar D, Yamada S, Toda K, Patel CJ, Butte AJ. Ethnic differences in the relationship between insulin sensitivity and insulin response: a systematic review and meta-analysis. Diabetes Care 2013;36:1789-96. https://doi.org/10.2337/dc12-1235
-
Ohn JH, Kwak SH, Cho YM, Lim S, Jang HC, Park KS, Cho NH. 10-Year trajectory of
$\beta$ -cell function and insulin sensitivity in the development of type 2 diabetes: a community-based prospective cohort study. Lancet Diabetes Endocrinol 2016;4: 27-34. https://doi.org/10.1016/S2213-8587(15)00336-8 - Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985;28:412-9. https://doi.org/10.1007/BF00280883
- Bonora E, Targher G, Alberiche M, Bonadonna RC, Saggiani F, Zenere MB, Monauni T, Muggeo M. Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: studies in subjects with various degrees of glucose tolerance and insulin sensitivity. Diabetes Care 2000;23:57-63. https://doi.org/10.2337/diacare.23.1.57
- Gayoso-Diz P, Otero-Gonzalez A, Rodriguez-Alvarez MX, Gude F, Cadarso-Suarez C, Garcia F, De Francisco A. Insulin resistance index (HOMA-IR) levels in a general adult population: curves percentile by gender and age. The EPIRCE study. Diabetes Res Clin Pract 2011;94:146-55. https://doi.org/10.1016/j.diabres.2011.07.015
- Esteghamati A, Ashraf H, Esteghamati AR, Meysamie A, Khalilzadeh O, Nakhjavani M, Abbasi M. Optimal threshold of homeostasis model assessment for insulin resistance in an Iranian population: the implication of metabolic syndrome to detect insulin resistance. Diabetes Res Clin Pract 2009;84:279-87. https://doi.org/10.1016/j.diabres.2009.03.005
- Gayoso-Diz P, Otero-Gonzalez A, Rodriguez-Alvarez MX, Gude F, Garcia F, De Francisco A, Quintela AG. Insulin resistance (HOMA-IR) cut-off values and the metabolic syndrome in a general adult population: effect of gender and age. EPIRCE cross-sectional study. BMC Endocr Disord 2013;13:47. https://doi.org/10.1186/1472-6823-13-47
- Morimoto A, Tatsumi Y, Soyano F, Miyamatsu N, Sonoda N, Godai K, Ohno Y, Noda M, Deura K. Increase in homeostasis model assessment of insulin resistance (HOMA-IR) had a strong impact on the development of type 2 diabetes in Japanese individuals with impaired insulin secretion: the Saku study. PLoS One 2014;9:e105827. https://doi.org/10.1371/journal.pone.0105827
- Lee CH, Shih AZ, Woo YC, Fong CH, Leung OY, Janus E, Cheung BM, Lam KS. Optimal cut-offs of homeostasis model assessment of insulin resistance (HOMA-IR) to identify dysglycemia and type 2 diabetes mellitus: a 15-year prospective study in Chinese. PLoS One 2016;11:e0163424. https://doi.org/10.1371/journal.pone.0163424
- Ghasemi A, Tohidi M, Derakhshan A, Hasheminia M, Azizi F, Hadaegh F. Cut-off points of homeostasis model assessment of insulin resistance, beta-cell function, and fasting serum insulin to identify future type 2 diabetes: Tehran Lipid and Glucose Study. Acta Diabetol 2015;52:905-15. https://doi.org/10.1007/s00592-015-0730-3
- Yun KJ, Han K, Kim MK, Park YM, Baek KH, Song KH, Kwon HS. Insulin resistance distribution and cut-off value in Koreans from the 2008-2010 Korean National Health and Nutrition Examination Survey. PLoS One 2016;11:e0154593. https://doi.org/10.1371/journal.pone.0154593
- Korea Centers for Disease Control and Prevention: The Sixth Korea National Health and Nutrition Examination Survey (KNHANES VI). Available from: https://knhanes.cdc.go.kr/knhanes/intro.html (cited 2018 Mar 23).
- Kweon S, Kim Y, Jang MJ, Kim Y, Kim K, Choi S, Chun C, Khang YH, Oh K. Data resource profile: the Korea National Health and Nutrition Examination Survey (KNHANES). Int J Epidemiol 2014;43:69-77. https://doi.org/10.1093/ije/dyt228
- American Diabetes Association. 2. Classification and diagnosis of diabetes. Diaetes Care 2016;39 Suppl 1:S13-22.
- Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, Fruchart JC, James WP, Loria CM, Smith SC Jr; International Diabetes Federation Task Force on Epidemiology and Prevention; Hational Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; International Association for the Study of Obesity. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 2009;120:1640-5. https://doi.org/10.1161/CIRCULATIONAHA.109.192644
- Lee SY, Park HS, Kim DJ, Han JH, Kim SM, Cho GJ, Kim DY, Kwon HS, Kim SR, Lee CB, Oh SJ, Park CY, Yoo HJ. Appropriate waist circumference cutoff points for central obesity in Korean adults. Diabetes Res Clin Pract 2007;75:72-80. https://doi.org/10.1016/j.diabres.2006.04.013
- Kuk JL, Ardern CI. Age and sex differences in the clustering of metabolic syndrome factors: association with mortality risk. Diabetes Care 2010;33:2457-61. https://doi.org/10.2337/dc10-0942
- Schmidt MI, Duncan BB, Bang H, Pankow JS, Ballantyne CM, Golden SH, Folsom AR, Chambless LE; Atherosclerosis Risk in Communities Investigators. Identifying individuals at high risk for diabetes: the Atherosclerosis Risk in Communities study. Diabetes Care 2005;28:2013-8. https://doi.org/10.2337/diacare.28.8.2013
- Wilson PW, Meigs JB, Sullivan L, Fox CS, Nathan DM, D'Agostino RB Sr. Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study. Arch Intern Med 2007;167:1068-74. https://doi.org/10.1001/archinte.167.10.1068
- Freiberg MS, Cabral HJ, Heeren TC, Vasan RS, Curtis Ellison R; Third National Health and Nutrition Examination Survey. Alcohol consumption and the prevalence of the metabolic syndrome in the US: a cross-sectional analysis of data from the Third National Health and Nutrition Examination Survey. Diabetes Care 2004;27:2954-9. https://doi.org/10.2337/diacare.27.12.2954
- Golbidi S, Mesdaghinia A, Laher I. Exercise in the metabolic syndrome. Oxid Med Cell Longev 2012;2012:349710.
- Oh SW, Yoon YS, Lee ES, Kim WK, Park C, Lee S, Jeong EK, Yoo T; Korea National Health and Nutrition Examination Survey. Association between cigarette smoking and metabolic syndrome: the Korea National Health and Nutrition Examination Survey. Diabetes Care 2005;28:2064-6. https://doi.org/10.2337/diacare.28.8.2064
- Tang Q, Li X, Song P, Xu L. Optimal cut-off values for the homeostasis model assessment of insulin resistance (HOMA-IR) and pre-diabetes screening: developments in research and prospects for the future. Drug Discov Ther 2015;9:380-5. https://doi.org/10.5582/ddt.2015.01207
- Yamada C, Mitsuhashi T, Hiratsuka N, Inabe F, Araida N, Takahashi E. Optimal reference interval for homeostasis model assessment of insulin resistance in a Japanese population. J Diabetes Investig 2011;2:373-6. https://doi.org/10.1111/j.2040-1124.2011.00113.x
- Yamada C, Moriyama K, Takahashi E. Optimal cut-off point for homeostasis model assessment of insulin resistance to discriminate metabolic syndrome in non-diabetic Japanese subjects. J Diabetes Investig 2012;3:384-7. https://doi.org/10.1111/j.2040-1124.2012.00194.x
- Bryhni B, Arnesen E, Jenssen TG. Associations of age with serum insulin, proinsulin and the proinsulin-to-insulin ratio: a cross-sectional study. BMC Endocr Disord 2010;10:21. https://doi.org/10.1186/1472-6823-10-21
- Tohidi M, Ghasemi A, Hadaegh F, Derakhshan A, Chary A, Azizi F. Age- and sex-specific reference values for fasting serum insulin levels and insulin resistance/sensitivity indices in healthy Iranian adults: Tehran Lipid and Glucose Study. Clin Biochem 2014;47:432-8. https://doi.org/10.1016/j.clinbiochem.2014.02.007
- Gupte AA, Pownall HJ, Hamilton DJ. Estrogen: an emerging regulator of insulin action and mitochondrial function. J Diabetes Res 2015;2015:916585.
- Borai A, Livingstone C, Kaddam I, Ferns G. Selection of the appropriate method for the assessment of insulin resistance. BMC Med Res Methodol 2011;11:158. https://doi.org/10.1186/1471-2288-11-158
- Monnier L, Lapinski H, Colette C. Contributions of fasting and postprandial plasma glucose increments to the overall diurnal hyperglycemia of type 2 diabetic patients: variations with increasing levels of HbA(1c). Diabetes Care 2003;26:881-5. https://doi.org/10.2337/diacare.26.3.881
- Ketema EB, Kibret KT. Correlation of fasting and postprandial plasma glucose with HbA1c in assessing glycemic control: systematic review and meta-analysis. Arch Public Health 2015;73: 43. https://doi.org/10.1186/s13690-015-0088-6
Cited by
- 교대근무자의 근무시간과 대사증후군의 관계에서 식습관, 영양섭취상태, 일상생활의 매개효과 분석 : 6기 국민건강영양조사 (2013 ~ 2015) 데이터 이용 vol.51, pp.6, 2018, https://doi.org/10.4163/jnh.2018.51.6.567
- The cut-off values of surrogate measures for insulin resistance in the Korean population according to the Korean Genome and Epidemiology Study (KOGES) vol.13, pp.11, 2018, https://doi.org/10.1371/journal.pone.0206994
- Effects of magnitude of visceral adipose tissue reduction: Impact on insulin resistance, hyperleptinemia and cardiometabolic risk in adolescents with obesity after long-term weight-loss therapy vol.16, pp.2, 2018, https://doi.org/10.1177/1479164118825343
- Suppression of HDAC by sodium acetate rectifies cardiac metabolic disturbance in streptozotocin-nicotinamide-induced diabetic rats vol.245, pp.7, 2018, https://doi.org/10.1177/1535370220913847
- Anthropometric features in predicting insulin resistance among non-menopausal Indonesian adult females vol.58, pp.3, 2020, https://doi.org/10.2478/rjim-2020-0015
- The effect of 1% glucose loading on metabolism in the elderly patients during remifentanil-induced anesthesia: a randomized controlled trial vol.20, pp.1, 2018, https://doi.org/10.1186/s12871-020-01061-3
- Non-alcoholic steatohepatitis and progression of carotid atherosclerosis in patients with type 2 diabetes: a Korean cohort study vol.19, pp.None, 2018, https://doi.org/10.1186/s12933-020-01064-x
- The triglyceride–glucose index is a more powerful surrogate marker for predicting the prevalence and incidence of type 2 diabetes mellitus than the homeostatic model assessment of insulin resist vol.180, pp.None, 2018, https://doi.org/10.1016/j.diabres.2021.109042
- Association between insulin resistance and lung function trajectory over 4 years in South Korea: community-based prospective cohort vol.21, pp.1, 2018, https://doi.org/10.1186/s12890-021-01478-7
- The insulin resistance by triglyceride glucose index and risk for dementia: population-based study vol.13, pp.1, 2018, https://doi.org/10.1186/s13195-020-00758-4