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Clinical Focus: Cardiometabolic Conditions - Original Research

Differentiation of obese patients at moderate or higher Findrisc score based on their atherogenic index

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Pages 790-796 | Received 22 Jul 2016, Accepted 21 Sep 2016, Published online: 17 Oct 2016

References

  • World Health Organization. Diabetes mellitus: report of a WHO expert committee. Vol. no 310. Geneva (Switzerland): World Health Organization; 1965. Tech. Rep. Ser. cited 2016 Apr 26 Available from: http://whqlibdoc.who.int/trs/WHO_TRS_310.pdf
  • Alberti KG, Eckel RH, Grundy SM, et al. 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;120:1640–1645.
  • Lindström J, Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care. 2003;26:725–731.
  • Alssema M, Feskens EJ, Bakker SJ, et al. Finnish questionnaire reasonably good predictor of the incidence of diabetes in The Netherlands. Ned Tijdschr Geneeskd. 2008;152:2418–2424.
  • Janghorbani M, Adineh H, Amini M. Evaluation of the Finnish Diabetes Risk Score (FINDRISC) as a screening tool for the metabolic syndrome. Rev Diabet Stud. 2013;10:283–292.
  • Tankova T, Chakarova N, Atanassova I, et al. Evaluation of the Finnish Diabetes Risk Score as a screening tool for impaired fasting glucose, impaired glucose tolerance and undetected diabetes. Diabetes Res Clin Pract. 2011;92:46–52.
  • Colagiuri S. Epidemiology of prediabetes. Med Clin North Am. 2011;95:299–307.
  • Borisova A-M, Shinkov A, Vlahov J, et al. Prevalence of diabetes mellitus and prediabetes in Bulgaria today. Endokrinologya (Bulg). 2012;17:182–192.
  • Huang Y, Cai X, Chen P, et al. Associations of prediabetes with all-cause and cardiovascular mortality: a meta-analysis. Ann Med. 2014;46:684–692.
  • Tie HT, Sh R, Li ZH, et al. Risk of major adverse cardiovascular events in patients with metabolic syndrome after revascularization: a meta-analysis of eighteen cohorts with 18,457 patients. Metabolism. 2015;64:1224–1234.
  • Schulze MB, Hoffmann K. Methodological approaches to study dietary patterns in relation to risk of coronary heart disease and stroke. Br J Nutr. 2006;95:860–869.
  • Gutiérrez-Repisoa C, Soriguera F, Rojo-Martíneza G, et al. Variable patterns of obesity and cardiometabolic phenotypes and their association with lifestyle factors in the [email protected] study. Nutr Metab Cardiovasc Dis. 2014;24:947–955.
  • Pimenta AM, Felisbino-Mendes MS, Velasquez-Melendez G. Clustering and combining pattern of metabolic syndrome components in a rural Brazilian adult population. Sao Paulo Med J. 2013;131:213–219.
  • Zeng P, Zhu X, Zhang Y, et al. Metabolic syndrome and the early detection of impaired glucose tolerance among professionals living in Beijing, China: a cross sectional study. Diabetol Metab Syndr. 2013;5:65.
  • Kautzky-Willer A, Harreiter J, Pacini G. Sex and gender differences in risk, pathophysiology and complications of type 2 diabetes mellitus. Endocr Rev. 2016;37:278–316.
  • Scuteri A, Laurent S, Cucca F, et al. Metabolic syndrome across Europe: different clusters of risk factors. Eur J Prev Cardiol. 2015;22:486–491.
  • Dobiásová M, Frohlich J, Sedová M, et al. Cholesterol esterification and atherogenic index of plasma correlate with lipoprotein size and findings on coronary angiography. J Lipid Res. 2011;52:566–571.
  • Lehto H-R, Lehto S, Havulinna AS, et al. Does the clinical spectrum of incident cardiovascular disease differ between men and women? Eur J Prev Cardiol. 2014;21:964–971.
  • Geer EB, Shen W. Gender differences in insulin resistance, body composition, and energy balance. Gend Med. 2009;6:60–75.
  • Ter Horst KW, Gilijamse PW, de Weijer BA, et al. Sexual dimorphism in hepatic, adipose tissue, and peripheral tissue insulin sensitivity in obese humans. Front Endocrinol (Lausanne). 2015;6:182.
  • Patel MJ, Batch BC, Svetkey LP, et al. Race and sex differences in small-molecule metabolites and metabolic hormones in overweight and obese adults. OMICS. 2013;17:627–635.
  • Song X, Tabák AG, Zethelius B, et al. Obesity attenuates gender differences in cardiovascular mortality. Cardiovasc Diabetol. 2014;13:144–153.
  • Ranjit PM, Guntuku G. Pothineni RB new atherogenic indices: assessment of cardio vascular risk in post-menopausal dyslipidemia. Asian J Med Sci. 2015;6:25–32.
  • Ridker PM. From C-reactive protein to interleukin-6 to interleukin-1: moving upstream to identify novel targets for atheroprotection. Circ Res. 2016;118:145–156.
  • Onat A, Can G. Enhanced proinflammatory state and autoimmune activation: a breakthrough to understanding chronic diseases. Curr Pharm Des. 2014;20:575–584.
  • Onat A, Kaya A, Akbaş ŞT, et al. Twenty-five years of the TARF study: the 2015 survey, and temporal trends in mortality and loss to follow-up. Turk Kardiyol Dern Ars. 2016;44:365–370.
  • Onat A. Dynamics shared by two related proinflammatory conditions, rheumatoid arthritis and metabolic syndrome. Eur J Rheumatol. 2014;1:5–6.
  • Onat A, Can G, Kaya H, et al. “Atherogenic index of plasma” (log10 triglyceride/high-density lipoprotein-cholesterol) predicts high blood pressure, diabetes, and vascular events. J Clin Lipidol. 2010;4(2):89–98.
  • Tzeng CR, Chang YC, Chang Y, et al. Cluster analysis of cardiovascular and metabolic risk factors in women of reproductive age. Fertil Steril. 2014;101:1404–1410.
  • Bell JA, Kivimaki M, Hamer M. Metabolically healthy obesity and risk of incident type 2 diabetes: a meta-analysis of prospective cohort studies. Obes Rev. 2014;15:504–515.
  • Tabák AG, Jokela M, Akbaraly T. Trajectories of glycaemia, insulin sensitivity, and insulin secretion before diagnosis of type 2 diabetes: an analysis from the Whitehall II study. Lancet. 2009;373:2215–2221.
  • Færch K, Witte DR, Tabák AG, et al. Trajectories of cardiometabolic risk factors before diagnosis of three subtypes of type 2 diabetes: a post-hoc analysis of the longitudinal Whitehall II cohort study. Lancet Diabetes Endocrinol. 2013;1:43–51.
  • Perreault L, Pan Q, Mather KJ, et al. Effect of regression from prediabetes to normal glucose regulation on long-term reduction in diabetes risk: results from the Diabetes Prevention Program Outcomes Study. Lancet. 2012;379:2243–2251.
  • Gómez-Ambrosi J, Silva C, Galofré JC, et al. Body adiposity and type 2 diabetes: increased risk with a high body fat percentage even having a normal BMI. Obesity (Silver Spring). 2011;19:1439–1444.
  • Santosa S, Jensen MD. Sex and sex steroids: impact on the kinetics of fatty acids underlying body shape. Horm Mol Biol Clin Investig. 2014;20:15–23.
  • Rezaee M, Asadi N, Pouralborz Y, et al. A review on glycosylated hemoglobin in polycystic ovary syndrome. J Pediatr Adolesc Gynecol. 2016; Available from:. http://dx.doi.org/10.1016/j.jpag.2016.07.001
  • American Diabetes Association. Classification and diagnosis of diabetes. Diabetes Care. 2015;38(1):72–81.
  • Saudek CD, Brick JC. The clinical use of hemoglobin A1c. J Diabetes Sci Technol. 2009;3:629–634.
  • Kodama S, Horikawa C, Fujihara K, et al. Use of high-normal levels of haemoglobin A(1C) and fasting plasma glucose for diabetes screening and for prediction: a meta-analysis. Diabetes Metab Res Rev. 2013;29:680–692.
  • Ng M, Fleming T, Robinson M, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384:766–781.
  • Gallus S, Lugo A, Murisic B, et al. Overweight and obesity in 16 European countries. Eur J Nutr. 2015;54:679–689.
  • Bermúdez V, Rojas J, Salazar J, et al. Sensitivity and specificity improvement in abdominal obesity diagnosis using cluster analysis during waist circumference cut-off point selection. J Diabetes Res. 2015;2015:750265. doi:10.1155/2015/750265.
  • Zhu XW, Deng FY, Lei SF. Meta-analysis of atherogenic index of plasma and other lipid parameters in relation to risk of type 2 diabetes mellitus. Prim Care Diabetes. 2015;9:60–67.
  • Saaristo T, Moilanen L, Korpi-Hyövälti E, et al. Lifestyle intervention for prevention of type 2 diabetes in primary health care: one-year follow-up of the Finnish National Diabetes Prevention Program (FIN-D2D). Diabetes Care. 2010;33:2146–2151.
  • Makrilakis K, Grammatikou S, Liatis S, et al. The effect of a non-intensive community-based lifestyle intervention on the prevalence of metabolic syndrome. The DEPLAN study in Greece. Hormones (Athens). 2012;11:316–324.
  • Jølle A, Midthjell K, Holmen J, et al. Impact of sex and age on the performance of FINDRISC: the HUNT study in Norway. BMJ Open Diabetes Res Care. 2016;4:e000217.
  • Chakarova N, Christov V, Tankova T, et al. FINDRISC as a screening tool for metabolic syndrome and increased risk for diabetes. Endokrinologia (Bulg). 2014;19:28–35.

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