242
Views
13
CrossRef citations to date
0
Altmetric
Original Research

Associations Between the Metabolic Score for Insulin Resistance Index and the Risk of Type 2 Diabetes Mellitus Among Non-Obese Adults: Insights from a Population-Based Cohort Study

ORCID Icon, , , , , , & ORCID Icon show all
Pages 7729-7740 | Published online: 06 Nov 2021

References

  • Chatterjee S, Khunti K, Davies MJ. Type 2 diabetes. Lancet. 2017;389:2239–2251. doi:10.1016/S0140-6736(17)30058-2
  • Cai XT, Ji LW, Liu SS, Wang MR, Heizhati M, Li NF. Derivation and validation of a prediction model for predicting the 5-year incidence of Type 2 diabetes in non-obese adults: a population-based cohort study. Diabetes Metab Syndr Obes. 2021;14:2087–2101. doi:10.2147/DMSO.S304994
  • Khan M, Hashim MJ, King JK, Govender RD, Mustafa H, Al Kaabi J. Epidemiology of Type 2 diabetes - global burden of disease and forecasted trends. J Epidemiol Glob Health. 2020;10(1):107–111. doi:10.2991/jegh.k.191028.001
  • Reed J, Bain S, Kanamarlapudi V. A review of current trends with Type 2 diabetes epidemiology, aetiology, pathogenesis, treatments and future perspectives. Diabetes Metab Syndr Obes. 2021;14:3567–3602. doi:10.2147/DMSO.S319895
  • Zheng Y, Ley SH, Hu FB. Global aetiology and epidemiology of type 2 diabetes mellitus and its complications. Nat Rev Endocrinol. 2018;14:88–98. doi:10.1038/nrendo.2017.151
  • Srikanth V, Sinclair AJ, Hill-Briggs F, Moran C, Biessels GJ. Type 2 diabetes and cognitive dysfunction-towards effective management of both comorbidities. Lancet Diabetes Endocrinol. 2020;8:535–545. doi:10.1016/S2213-8587(20)30118-2
  • Gregg EW, Sattar N, Ali MK. The changing face of diabetes complications. Lancet Diabetes Endocrinol. 2016;4:537–547. doi:10.1016/S2213-8587(16)30010-9
  • Piché ME, Tchernof A, Després JP. Obesity phenotypes, diabetes, and cardiovascular diseases. Circ Res. 2020;126:1477–1500. doi:10.1161/CIRCRESAHA.120.316101
  • Ng A, Delgado V, Borlaug BA, Bax JJ. Diabesity: the combined burden of obesity and diabetes on heart disease and the role of imaging. Nat Rev Cardiol. 2021;18:291–304. doi:10.1038/s41569-020-00465-5
  • Boles A, Kandimalla R, Reddy PH. Dynamics of diabetes and obesity: epidemiological perspective. Biochim Biophys Acta Mol Basis Dis. 2017;1863(5):1026–1036. doi:10.1016/j.bbadis.2017.01.016
  • Kashima S, Inoue K, Matsumoto M, Akimoto K. Prevalence and characteristics of non-obese diabetes in Japanese men and women: the Yuport Medical Checkup Center Study. J Diabetes. 2015;7:523–530. doi:10.1111/1753-0407.12213
  • Chan JC, Malik V, Jia W, et al. Diabetes in Asia: epidemiology, risk factors, and pathophysiology. JAMA. 2009;301:2129–2140. doi:10.1001/jama.2009.726
  • Manson JE, Colditz GA, Stampfer MJ, et al. A prospective study of maturity-onset diabetes mellitus and risk of coronary heart disease and stroke in women. Arch Intern Med. 1991;151:1141–1147. doi:10.1001/archinte.1991.00400060077013
  • Carnethon MR, De Chavez PJ, Biggs ML, et al. Association of weight status with mortality in adults with incident diabetes. JAMA. 2012;308:581–590. doi:10.1001/jama.2012.9282
  • Ji L, Cai X, Bai Y, Li T. Application of a novel prediction model for predicting 2-year risk of non-alcoholic fatty liver disease in the non-obese population with normal blood lipid levels: a large prospective cohort study from China. Int J Gen Med. 2021;14:2909–2922. doi:10.2147/IJGM.S319759
  • Kahn SE. The relative contributions of insulin resistance and beta-cell dysfunction to the pathophysiology of Type 2 diabetes. Diabetologia. 2003;46:3–19. doi:10.1007/s00125-002-1009-0
  • Warram JH, Martin BC, Krolewski AS, Soeldner JS, Kahn CR. Slow glucose removal rate and hyperinsulinemia precede the development of type II diabetes in the offspring of diabetic parents. Ann Intern Med. 1990;113:909–915. doi:10.7326/0003-4819-113-12-909
  • Li X, Li G, Cheng T, Liu J, Song G, Ma H. Association between triglyceride-glucose index and risk of incident diabetes: a secondary analysis based on a Chinese cohort study: TyG index and incident diabetes. Lipids Health Dis. 2020;19(1):236. doi:10.1186/s12944-020-01403-7
  • Cheung AS, de Rooy C, Hoermann R, et al. Correlation of visceral adipose tissue measured by Lunar Prodigy dual X-ray absorptiometry with MRI and CT in older men. Int J Obes (Lond). 2016;40:1325–1328. doi:10.1038/ijo.2016.50
  • Carrillo-Larco RM, Miranda JJ, Gilman RH, et al. The HOMA-IR performance to identify new diabetes cases by degree of urbanization and altitude in Peru: the CRONICAS cohort study. J Diabetes Res. 2018;2018:7434918. doi:10.1155/2018/7434918
  • Wedin WK, Diaz-Gimenez L, Convit AJ. Prediction of insulin resistance with anthropometric measures: lessons from a large adolescent population. Diabetes Metab Syndr Obes. 2012;5:219–225. doi:10.2147/DMSO.S33478
  • Chen CL, Liu L, Lo K, et al. Association between triglyceride glucose index and risk of new-onset diabetes among Chinese adults: findings from the China health and retirement longitudinal study. Front Cardiovasc Med. 2020;7:610322. doi:10.3389/fcvm.2020.610322
  • Liu XZ, Fan J, Pan SJ. METS-IR, a novel simple insulin resistance indexes, is associated with hypertension in normal-weight Chinese adults. J Clin Hypertens (Greenwich). 2019;21:1075–1081. doi:10.1111/jch.13591
  • Bello-Chavolla OY, Almeda-Valdes P, Gomez-Velasco D, et al. METS-IR, a novel score to evaluate insulin sensitivity, is predictive of visceral adiposity and incident type 2 diabetes. Eur J Endocrinol. 2018;178:533–544. doi:10.1530/EJE-17-0883
  • Okamura T, Hashimoto Y, Hamaguchi M, Obora A, Kojima T, Fukui M. Ectopic fat obesity presents the greatest risk for incident type 2 diabetes: a population-based longitudinal study. Int J Obes (Lond). 2019;43:139–148. doi:10.1038/s41366-018-0076-3
  • Seo MH, Lee WY, Kim SS, et al. 2018 Korean society for the study of obesity guideline for the management of obesity in Korea. J Obes Metab Syndr. 2019;28:40–45. doi:10.7570/jomes.2019.28.1.40
  • Examination Committee of Criter T. New criteria for ‘obesity disease’ in Japan. Circ J. 2002;66:987–992. doi:10.1253/circj.66.987
  • Cai X, Zhu Q, Cao Y, et al. A prediction model based on noninvasive indicators to predict the 8-year incidence of Type 2 diabetes in patients with nonalcoholic fatty liver disease: a population-based retrospective cohort study. Biomed Res Int. 2021;2021:5527460. doi:10.1155/2021/5527460
  • Li J, Yu S, Zhou W, et al. U-shaped association of body mass index with the risk of peripheral arterial disease in Chinese hypertensive population. Int J Gen Med. 2021;14:3627–3634. doi:10.2147/IJGM.S323769
  • Yan LJ, Zhang FR, Zeng YR, Zheng Y. Serum folate and all-cause mortality is of non-linear relationship among population with chronic kidney disease: a retrospective cohort study. Int J Gen Med. 2021;14:2695–2702. doi:10.2147/IJGM.S314904
  • Hinnouho GM, Czernichow S, Dugravot A, et al. Metabolically healthy obesity and the risk of cardiovascular disease and type 2 diabetes: the Whitehall II cohort study. Eur Heart J. 2015;36:551–559. doi:10.1093/eurheartj/ehu123
  • Lee SH, Han K, Yang HK, et al. A novel criterion for identifying metabolically obese but normal weight individuals using the product of triglycerides and glucose. Nutr Diabetes. 2015;5(4):e149. doi:10.1038/nutd.2014.46
  • Wang B, Zhuang R, Luo X, et al. Prevalence of metabolically healthy obese and metabolically obese but normal weight in adults worldwide: a meta-analysis. Horm Metab Res. 2015;47(11):839–845. doi:10.1055/s-0035-1559767
  • Zhang M, Wang B, Liu Y, et al. Cumulative increased risk of incident type 2 diabetes mellitus with increasing triglyceride glucose index in normal-weight people: the Rural Chinese Cohort Study. Cardiovasc Diabetol. 2017;16:30. doi:10.1186/s12933-017-0514-x
  • Gao H, Salim A, Lee J, Tai ES, van Dam RM. Can body fat distribution, adiponectin levels and inflammation explain differences in insulin resistance between ethnic Chinese, Malays and Asian Indians. Int J Obes (Lond). 2012;36:1086–1093. doi:10.1038/ijo.2011.185
  • Nazare JA, Smith JD, Borel AL, et al. Ethnic influences on the relations between abdominal subcutaneous and visceral adiposity, liver fat, and cardiometabolic risk profile: the International Study of prediction of intra-abdominal adiposity and its relationship with cardiometabolic risk/intra-abdominal adiposity. Am J Clin Nutr. 2012;96:714–726. doi:10.3945/ajcn.112.035758
  • Zhang M, Liu D, Qin P, et al. Association of metabolic score for insulin resistance and its 6-year change with incident type 2 diabetes mellitus. J Diabetes. 2021;13:725–734. doi:10.1111/1753-0407.13161
  • Lillioja S, Mott DM, Spraul M, et al. Insulin resistance and insulin secretory dysfunction as precursors of non-insulin-dependent diabetes mellitus. Prospective studies of Pima Indians. N Engl J Med. 1993;329:1988–1992. doi:10.1056/NEJM199312303292703
  • Robertson RP, Harmon J, Tran PO, Poitout V. Beta-cell glucose toxicity, lipotoxicity, and chronic oxidative stress in type 2 diabetes. Diabetes. 2004;53 Suppl 1:S119–124. doi:10.2337/diabetes.53.2007.s119
  • Singh RG, Yoon HD, Poppitt SD, Plank LD, Petrov MS. Ectopic fat accumulation in the pancreas and its biomarkers: a systematic review and meta-analysis. Diabetes Metab Res Rev. 2017;33(8):e2918. doi:10.1002/dmrr.2918
  • Kato K, Takamura T, Takeshita Y, et al. Ectopic fat accumulation and distant organ-specific insulin resistance in Japanese people with nonalcoholic fatty liver disease. PLoS One. 2014;9:e92170. doi:10.1371/journal.pone.0092170
  • Wueest S, Item F, Lucchini FC, et al. Mesenteric fat lipolysis mediates obesity-associated hepatic steatosis and insulin resistance. Diabetes. 2016;65:140–148. doi:10.2337/db15-0941
  • Shanik MH, Xu Y, Skrha J, Dankner R, Zick Y, Roth J. Insulin resistance and hyperinsulinemia: is hyperinsulinemia the cart or the horse. Diabetes Care. 2008;31(Suppl 2):S262–268. doi:10.2337/dc08-s264