참고문헌
- M. Galisteo, J. Duarte & A. Zarzuelo. (2008). Effects of dietary fibers on disturbances clustered in the metabolic syndrome. Journal of Nutritional Biochemistry, 19(2), 71-84. DOI : 10.1016/j.jnutbio.2007.02.009
- Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. (2001). Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). The Journal of the American Medical Association, 285(19), 2486-2497. DOI : 10.1001/jama.285.19.2486
- A. Scuteri et al. (2015). Metabolic syndrome across Europe: different clusters of risk factors. European Journal of Preventive Cardiology, 22(4), 486-491. DOI : 10.1177/2047487314525529
- B. Bozkurt et al. (2016). Contributory risk and management of comorbidities of hypertension, obesity, diabetes mellitus, hyperlipidemia, and metabolic syndrome in chronic heart failure: A scientific statement from the American heart association. Circulation, 134(23), e535-e578. DOI : 10.1161/CIR.0000000000000450
- M. Aguilar, T. Bhuket, S. Torres, B. Liu & R. J. Wong. (2015). Prevalence of the metabolic syndrome in the United States, 2003-2012. Journal of the American Medical Association, 313(19), 1973-19744. DOI : 10.1001/jama.2015.4260
- M. H. Kim et al. (2020). The change of metabolic syndrome prevalence and its risk factors in Korean adults for decade: Korea National Health and Nutrition Examination Survey for 2008-2017. Korean Journal of Family Practice, 10(2), 44-52. DOI : 10.21215/kjfp.2020.10.1.44
- E. N. Adejumo et al. (2019). Anthropometric parameter that best predict metabolic syndrome in South west Nigeria. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 13(1), 48-54. DOI : 10.1016/j.dsx.2018.08.009
- H. Wang et al. (2017). Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study. BMJ Open, 7(9), e016062. DOI : 10.1136/bmjopen-2017-016062
- S. D. Banik et al. (2021). Evaluation of anthropometric indices and lipid parameters to predict metabolic syndrome among adults in Mexico. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 14, 691-701. DOI : 10.2147/DMSO.S281894
- M. Rezapour, A. Shahesmaeili, A. Hossinzadeh, R. Zahedi, H. Najafipour & M. H. Gozashti. (2018). Comparison of lipid ratios to identify metabolic syndrome. Archives of Iranian Medicine, 21(12), 572-577.
- T. T. Wu, Y. Gao, Y. Y. Zheng, Y. T. Ma & X. Xie. (2018). Atherogenic index of plasma (AIP): a novel predictive indicator for the coronary artery disease in postmenopausal women. Lipids in Health and Disease, 17(1), 197. DOI : 10.1186/s12944-018-0828-z
- S. Shen et al. (2016). Association between ideal cardiovascular health and the atherogenic index of plasma. Medicine (Baltimore), 95(24), e3866. DOI : 10.1097/MD.0000000000003866
- S. Niroumand et al. (2015). Atherogenic Index of Plasma (AIP): A marker of cardiovascular disease. Medical Journal of the Islamic Republic of Iran, 29, 240.
- M. Dobiasova & J. Frohlich. (2001). The plasma parameter log (TG/HDL-C) as an atherogenic index: correlation with lipoprotein particle size and esterification rate in apoB-lipoprotein-depleted plasma (FER(HDL)). Clinical Biochemistry, 34(7), 583-588. DOI : 10.1016/s0009-9120(01)00263-6
- X. W. Zhu, F. Y. Deng & S. F. Lei. (2015). Meta-analysis of atherogenic index of plasma and other lipid parameters in relation to risk of type 2 diabetes mellitus. Primary Care Diabetes, 9(1), 60-67. DOI : 10.1016/j.pcd.2014.03.007
- G. L. Vega, C. E. Barlow, S. M. Grundy, D. Leonard & L. F. DeFina. (2014). Triglyceride-to-high-density-lipoprotein-choleste rol ratio is an index of heart disease mortality and of incidence of type 2 diabetes mellitus in men. Journal of Investigative Medicine, 62(2), 345-349. DOI : 10.2310/JIM.0000000000000044
- F. Hadaegh, M. Hatami, M. Tohidi, P. Sarbakhsh, N. Saadat & F. Azizi. (2010). Lipid ratios and appropriate cut off values for prediction of diabetes: a cohort of Iranian men and women. Lipids in Health and Disease, 9, 85. DOI : 10.1186/1476-511X-9-85
- G. Zoppini, C. Negri, V. Stoico, S. Casati, I. Pichiri & E. Bonora. (2012). Triglyceride-high-density lipoprotein cholesterol is associated with microvascular complications in type 2 diabetes mellitus. Metabolism, 61(1), 22-29. DOI : 10.1016/j.metabol.2011.05.004
- M. P. Hermans, F. M. Sacks, S. A. Ahn & M. F. Rousseau. (2011). Non-HDL-cholesterol as valid surrogate to apolipoprotein B100 measurement in diabetes: Discriminant ratio and unbiased equivalence. Cardiovascular Diabetology. 28(10), 20. DOI : 10.1186/1475-2840-10-20
- K. A. Adedokun, J. Olisekodiaka, A. D. Adeyeye & M. A. Muhibi. (2017). Castelli risk index, atherogenic index of plasma, and atherogenic coefficient: emerging risk predictors of cardiovascular disease in HIV-treated patients. Saudi Pharmaceutical Journal, 3(10B), 1101-1110. DOI : 10.21276/sjmps.2017.3.10.15
- J. Millan et al. (2009). Lipoprotein ratios: Physiological significance and clinical usefulness in cardiovascular prevention. Vascular Health and Risk Management, 5, 757-765.
- D. Gasevic, J. Frohlich, G. B. J. Mancini & S. A. Lear. (2012). The association between triglyceride to high-density-lipoprotein cholesterol ratio and insulin resistance in a multiethnic primary prevention cohort. Metabolism, 61(4), 583-589. DOI : 10.1016/j.metabol.2011.09.009
- A. E. Sumner, K. B. Finley, D. J. Genovese, M. H. Criqui & R. C. Boston. (2005). Fasting triglyceride and the triglyceride-HDL cholesterol ratio are not markers of insulin resistance in African Americans. Archives of internal medicine, 165(12), 1395-1400. DOI : 10.1001/archinte.165.12.1395
- M. G. Knight et al. (2011). The TG/HDL-C ratio does not predict insulin resistance in overweight women of African descent: a study of South African, African American and West African women. Ethnicity & Disease, 21(4), 490-494.
- C. Li, E. S. Ford, Y. X. Meng, A. H. Mokdad & G. M. Reaven. (2008). Does the association of the triglyceride to high-density lipoprotein cholesterol ratio with fasting serum insulin differ by race/ethnicity? Cardiovascular Diabetology, 7, 4. DOI : 10.1186/1475-2840-7-4
- M. Dobiasova, J. Frohlich, M. Sedova, M. C. Cheung & B. G. Brown. (2011). Cholesterol esterification and atherogenic index of plasma correlate with lipoprotein size and findings on coronary angiography. Journal of Lipid Research, 52(3), 566-571. DOI : 10.1194/jlr.P011668
- W. P. Castelli, R. D. Abbott & P. M. McNamara. (1983). Summary estimates of cholesterol used to predict coronary heart disease. Circulation, 67(4), 730-734. DOI : 10.1161/01.cir.67.4.730
- World Health Organization. (2000). The Asia-Pacific perspective: redefining obesity and its treatment. Sydney: Health Communications Australia.
- E. Alibasic, E. Ramic, A. Bajraktarevic, F. Ljuca, O. Batic-Mujanovic & M. Zildzic. (2015). Atherogenic dyslipidemia and residual vascular risk in practice of family doctor. Medical Archives, 69(5), 339-341. DOI : 10.5455/medarh.2015.69.339-341
- R. SoRelle. (2002). ATP III calls for more intensive low-density lipoprotein lowering in target groups. Circulation, 106(25), e90688. DOI : 10.1161/01.cir.0000052861.81153.18
- A. Cordero et al. (2008). Comparison of serum lipid values in subjects with and without the metabolic syndrome. American Journal of Cardiology, 102(4), 424-428. DOI : 10.1016/j.amjcard.2008.03.079
- R. Kawamoto et al. (2011). Relationships between lipid profiles and metabolic syndrome, insulin resistance and serum high molecular adiponectin in Japanese community-dwelling adults. Lipids in Health and Disease, 10, 79. DOI : 10.1186/1476-511X-10-79
- H. J. Kimm et al. (2010). Associations between lipid measures and metabolic syndrome, insulin resistance and adiponectin. Circulation Journal, 74(5), 931-937. DOI : 10.1253/circj.cj-09-0571
- D. Koleva, P. Andreeva-Gateva, M. Orbetzova, I. Atanassova & J. Nikolova. (2015). Atherogenic index of plasma, castelli risk indexes and leptin/adiponectin ratio in women with metabolic syndrome. International Journal of Pharmaceutical and Medical Research, 3(5), 12-18.
- F. Essiarab, H. Taki, H. Lebrazi, M. Sabri & R. Saile. (2014). Usefulness of lipid ratios and atherogenic index of plasma in obese Moroccan women with or without metabolic syndrome. Ethnicity & Disease, 24(2), 207-212.
- M. Dobiasova. (2006). AIP-atherogenic index of plasma as a significant predictor of cardiovascular risk: from research to practice. Vnitrni lekarstvi, 52(1), 64-71.
- D. Gasevic, J. Frohlich, G. J. Mancini & S. A. Lear. (2014). Clinical usefulness of lipid ratios to identify men and women with metabolic syndrome: a cross-sectional study. Lipids in Health and Disease, 13, 159. DOI : 10.1186/1476-511X-13-159
- M. Abbasian, M. Delvarianzadeh, H. Ebrahimi & F. Khosravi. (2017). Lipid ratio as a suitable tool to identify individuals with MetS risk: A casecontrol study. Diabetology & Metabolic Syndrome, 11(Suppl 1), S15-S19. DOI : 10.1016/j.dsx.2016.08.011