پایان نامه پیش گویی خطر قلبی عروقی فرامینگهام و سندرم متابولیک با استفاده از روش های مختلف جایگزین اندازه گیری ‌مقاومت به انسولین

فهرست:

فهرست مطالب .......................................................................................................................................................................

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فهرست جدول ها ....................................................................................................................................................................

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فهرست نمودار ها ....................................................................................................................................................................

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فصل اول: مقدمه و بیان مسأله

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1- 1 بیان مسئله و اهمیت پژوهش .......................................................................................................................................

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1- 2 اهداف و فرضیات ..........................................................................................................................................................

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فصل دوم: بررسی متون

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2- 1 مبانی نظری پژوهش .....................................................................................................................................................

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2- 2 مروری بر مطالعات انجام یافته .....................................................................................................................................

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فصل سوم: روش پژوهش

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3 – 1 نوع پژوهش .................................................................................................................................................................

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3 - 2 جامعه پژوهش ..............................................................................................................................................................

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3 – 3 روش نمونه­گیری و حجم نمونه ..................................................................................................................................

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3 – 4 روش گردآوری داده­ها .................................................................................................................................................

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3 – 5 ابزار گردآوری داده­ها ...................................................................................................................................................

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3 – 6 روش تجزیه و تحلیل داده ها ......................................................................................................................................

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3 – 7 مکان و زمان انجام مطالعه ..........................................................................................................................................

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3 – 8 محدودیت­های پژوهش ...............................................................................................................................................

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3 – 9 ملاحظات اخلاقی ........................................................................................................................................................

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3 – 10 متغیرهای تحقیق ......................................................................................................................................................

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فصل چهارم: یافته ها

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یافته ها ....................................................................................................................................................................................

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عنوان

صفحه

فصل پنجم: بحث، نتیجه گیری و پیشنهادات

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5 - 1 بحث .............................................................................................................................................................................

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5 - 2 نتیجه­گیری ...................................................................................................................................................................

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5 - 3 پیشنهادات ....................................................................................................................................................................

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منابع ........................................................................................................................................................................................  

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چکیده انگلیسی .......................................................................................................................................................................

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منبع:

Alberti, KG. Eckel, RH. Grundy, SM. Zimmet, PZ. Cleeman, JI. Donato, KA. et al. (2009). 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 120(16):1640-5.

American Diabetes Association. (2013). Diagnosis and classification of diabetes mellitus. Diabetes Care 36 Suppl 1:S67-74.

Anderson, RL. Hamman, RF. Savage, PJ. Saad, MF. Laws, A. Kades, WW. et al. (1995). Exploration of simple insulin sensitivity measures derived from frequently sampled intravenous glucose tolerance (FSIGT) tests. The Insulin Resistance Atherosclerosis Study. Am J Epidemiol 142(7):724-32.

Avignon, A. Boegner, C. Mariano-Goulart, D. Colette, C. Monnier, L. (1999). Assessment of insulin sensitivity from plasma insulin and glucose in the fasting or post oral glucose-load state. Int J Obes Relat Metab Disord 23(5):512-7.

Bansal, M. Shrivastava, S. Mehrotra, R. Agarwal, V. Kasliwal, RR. (2009). Low Framingham risk score despite high prevalence of metabolic syndrome in asymptomatic North-Indian population. J Assoc Physicians India 57:17-22.

Barzin, M. Mirmiran, P. Afghan, M. Azizi, F. (2011). Distribution of 10-year risk for coronary heart disease and eligibility for therapeutic approaches among Tehranian adults. Public Health 125(6):338-44.

Bastard, JP. Vandernotte, JM. Faraj, M. Karelis, AD. Messier, L. Malita, FM. et al. (2007). Relationship between the hyperinsulinemic-euglycaemic clamp and a new simple index assessing insulin sensitivity in overweight and obese postmenopausal women. Diabetes Metab 33(4):261-8.

Belfiore, F. Iannello, S. Volpicelli, G. (1998). Insulin sensitivity indices calculated from basal and OGTT-induced insulin, glucose, and FFA levels. Mol Genet Metab 63(2):134-41.

Borai, A. Livingstone, C. Kaddam, I. Ferns, G. (2011). Selection of the appropriate method for the assessment of insulin resistance. BMC Med Res Methodol 11:158.

Buchanan, TA. Watanabe, RM. Xiang, AH. (2010). Limitations in surrogate measures of insulin resistance. J Clin Endocrinol Metab 95(11):4874-6.

D'Agostino RB, Sr. Pencina, MJ. Massaro, JM. Coady, S. (2013). Cardiovascular Disease Risk Assessment: Insights from Framingham. Glob Heart 8(1):11-23.

DeFronzo, RA. Tobin, JD. Andres, R. (1979). Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J Physiol 237(3):E214-23.

Duncan, MH. Singh, BM. Wise, PH. Carter, G. Alaghband-Zadeh. J. (1995). A simple measure of insulin resistance. Lancet 346(8967):120-1.

Eckel, RH. Grundy, SM. Zimmet PZ. (2005). The metabolic syndrome. Lancet 365(9468):1415-28.

Eckel, RH. (2012). The metabolic syndrome. In: Lango, DL. Fauci, AS. Kasper, DL. Hauser, SL. Jameson, JL. Loscalzo, J. Harrison's principles of internal medicine. 18th ed. New York: The McGraw-Hill Companies; p. 1992-7. Vol 2.

Esteghamati, A. Ashraf, H. Khalilzadeh, O. Zandieh, A. Nakhjavani, M. Rashidi, A. et al. (2010). Optimal cut-off of homeostasis model assessment of insulin resistance (HOMA-IR) for the diagnosis of metabolic syndrome: third national surveillance of risk factors of non-communicable diseases in Iran (SuRFNCD-2007). Nutr Metab (Lond) 7; 7: 26.

Færch, K. Bergman, B. Perreault, L. (2012). Does insulin resistance drive the association between hyperglycemia and cardiovascular risk? PLoS One 7(6):e39260.

Ford, ES. Giles, WH. Mokdad, AH. (2004). The distribution of 10-Year risk for coronary heart disease among US adults: findings from the National Health and Nutrition Examination Survey III. J Am Coll Cardiol 43(10):1791-6.

Gami, AS. Witt, BJ. Howard, DE. Erwin, PJ. Gami, LA. Somers, VK. et al. (2007). Metabolic syndrome and risk of incident cardiovascular events and death: a systematic review and meta-analysisof longitudinal studies. J Am Coll Cardiol 49(4):403-14.

Ghotbi, M. Rafati, M. Ahmadnia, H. (2007). Noncommunicable diseases surveillance system. 1st ed. Tehran; P. 13- 128.

Gotoh, S. Doi, Y. Hata, J. Ninomiya, T. Mukai, N. Fukuhara, M. e al. (2012). Insulin resistance and the development of cardiovascular disease in a Japanese community: the Hisayamastudy. J Atheroscler Thromb 19(11):977-85.

Grundy, SM. Balady, GJ. Criqui, MH. Fletcher, G. Greenland, P. Hiratzka, LF. Et al. (1998).   Primary prevention of coronary heart disease: guidance from Framingham: a statement for healthcare professionals from the AHA Task Force on Risk Reduction. American Heart Association. Circulation 12;97(18):1876-87.

Grundy, SM. Hansen, B. Smith, SC Jr. Cleeman, JI. Kahn, RA. American Heart Association. et al. (2004). Clinical management of metabolic syndrome: report of the American Heart Association/National Heart, Lung, and Blood Institute/American Diabetes Association conference on scientific issues related to management. Arterioscler Thromb Vasc Biol 24(2):e19-24.

Grundy SM. (2008). Metabolic syndrome pandemic. Arterioscler Thromb Vasc Biol. 28(4):629-36.

Guerrero-Romero, F. Simental-Mendía, LE. González-Ortiz, M. Martínez-Abundis, E. Ramos-Zavala, MG. Hernández-González, SO. et al. (2010). The product of triglycerides and glucose, a simple measure of insulin sensitivity. Comparison with the euglycemic-hyperinsulinemic clamp. J Clin Endocrinol Metab 95(7):3347-51.

Gutt, M. Davis, CL. Spitzer, SB. Llabre, MM. Kumar, M. Czarnecki, EM. et al. (2000). Validation of the insulin sensitivity index (ISI(0,120)): comparison with other measures. Diabetes Res Clin Pract 47(3):177-84.

Hanson, RL. Pratley, RE. Bogardus, C. Narayan, KM. Roumain, JM. Imperatore, G. et al. (2000). Evaluation of simple indices of insulin sensitivity and insulin secretion for use in epidemiologic studies. Am J Epidemiol 151(2):190-8.

Jeemon, P. Prabhakaran, D. Huffman, MD. Ramakrishnan, L. Goenka, S. Thankappan, KR. et al. (2011). Distribution of 10-year and lifetime predicted risk for cardiovascular disease in the Indian Sentinel Surveillance Study population (cross-sectional survey results). BMJ Open 1(1):e000068.

Katz, A. Nambi, SS. Mather, K. Baron, AD. Follmann, DA. Sullivan, G. et al. (2000). Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans. J Clin Endocrinol Metab 85(7):2402-10.

Lorenzo, C. Haffner, SM. Stancáková, A. Laakso, M. (2010). Relation of direct and surrogate measures of insulin resistance to cardiovascular risk factors in nondiabetic finnish offspring of type 2 diabetic individuals. J Clin Endocrinol Metab 95(11):5082-90.

Martínez-Larrad, MT. Lorenzo, C. González-Villalpando, C. Gabriel, R. Haffner, SM. Serrano-Ríos, M. (2012). Associations between surrogate measures of insulin resistance and waist circumference, cardiovascular risk and the metabolic syndrome across Hispanic and non-Hispanic white populations. Diabet Med 29(11):1390-4.

Matsuda, M. DeFronzo, RA. (1999). Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care 22(9):1462-70.

Matthews, DR. Hosker, JP. Rudenski, AS. Naylor, BA. Treacher, DF. Turner, RC. (1985). Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28(7):412-9.

McAuley, KA. Williams, SM. Mann, JI. Walker, RJ. Lewis-Barned, NJ. Temple, LA. et al. (2001). Diagnosing insulin resistance in the general population. Diabetes Care 24(3):460-4.

Melmed, Sh. Polonsky, KS. Larsen, PR. Kronenberg, HM. (2011).Williams Textbook of Endocrinology. 12th ed. Philadelphia: Elsevier/Saunders; p. 1371- 1435.

Meshkani, R. Taghikhani, M. Larijani, B. Khatami, S. Khoshbin, E. Adeli, K. (2006). The relationship between homeostasis model assessment and cardiovascular risk factors in Iranian subjects with normal fasting glucose and normal glucose tolerance. Clin Chim Acta 371(1-2):169-75.

Meshkani, R. Zargari, M. Larijani, B. (2011). The relationship between uric acid and metabolic syndrome in normal glucose tolerance and normal fasting glucose subjects. Acta Diabetol 48(1):79-88.

Miller, M. Stone, NJ. Ballantyne, C. Bittner, V. Criqui, MH. Ginsberg, HN. et al. (2011). Triglycerides and cardiovascular disease: a scientific statement from the American Heart Association. Circulation 123(20):2292-333.

Muniyappa, R. Lee, S. Chen, H. Quon, MJ. (2008). Current approaches for assessing insulin sensitivity and resistance in vivo: advantages, limitations, and appropriate usage. Am J Physiol Endocrinol Metab 294(1):E15-26.

Nag T, Ghosh A. (2013). Cardiovascular disease risk factors in Asian Indian population: A systematic review. J Cardiovasc Dis Res  4(4):222-8.

Najarian, RM. Sullivan, LM. Kannel, WB. Wilson, PW. D'Agostino, RB. Wolf. PA. (2006). Metabolic syndrome compared with type 2 diabetes mellitus as a risk factor for stroke: the FraminghamOffspring Study. Arch Intern Med 166(1):106-11.

National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). (2002). 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) final report. Circulation 106(25):3143-421.

Preethi, BL. Jaisri, G. Kumar, KM. Sharma, R. (2011). Assessment of insulin resistance in normoglycemic young adults. Fiziol Cheloveka 37(1):118-25.

Radikova, Z. (2003). Assessment of insulin sensitivity/ resistance in epidemiological studies. Endocr Regul 37(3):189-94.

Radikova, Z. Koska, J. Huckova, M. Ksinantova, L. Imrich, R. Vigas, M. et al. (2006). Insulin sensitivity indices: a proposal of cut-off points for simple identification of insulin-resistant subjects. Exp Clin Endocrinol Diabetes 114(5):249-56.

Raynaud, E. Perez-Martin, A. Brun, JF. Benhaddad, AA. Mercier, J. (1999). Revised concept for the estimation of insulin sensitivity from a single sample. Diabetes Care 22(6):1003-4.

Sattar, N. Gaw, A. Scherbakova, O. Ford, I. O'Reilly, DS. Haffner, SM. et al. (2003). Metabolic syndrome with and without C-reactive protein as a predictor of coronary heart disease and diabetes in the West of Scotland Coronary Prevention Study. Circulation 108(4):414-9.

Seneff, S. Wainwright, G. Mascitelli, L. (2011). Is the metabolic syndrome caused by a high fructose, and relatively low fat, low cholesterol diet? Arch Med Sci 7(1):8-20.

Singh, B. Saxena, A. (2010). Surrogate markers of insulin resistance: A review. World J Diabetes 1(2):36-47.

Simental-Mendía, LE. Rodríguez-Morán, M. Guerrero-Romero, F. (2008). The product of fasting glucose and triglycerides as surrogate for identifying insulin resistance in apparentlyhealthy subjects. Metab Syndr Relat Disord 6(4):299-304.

Sluiter, WJ. Erkelens, DW. Terpstra, P. Reitsma, WD. Doorenbos, H. (1976). Glucose tolerance and insulin release, a mathematical approach. II. Approximation of the peripheral insulin resistance after oral glucose loading. Diabetes 25(4):245-9.

Stern, MP. Williams, K. González-Villalpando, C. Hunt, KJ. Haffner, SM. (2004). Does the metabolic syndrome improve identification of individuals at risk of type 2 diabetes and/ or cardiovascular disease? Diabetes Care.  27(11):2676-81.

Stumvoll, M. Mitrakou, A. Pimenta, W. Jenssen, T. Yki-Järvinen, H. Van Haeften, T. et al. (2000). Assessment of insulin secretion from the oral glucose tolerance test in white patients with type 2 diabetes. Diabetes Care 23(9):1440-1.

Stumvoll, M. Van Haeften, T. Fritsche, A. Gerich, J. (2001). Oral glucose tolerance test indexes for insulin sensitivity and secretion based on various availabilities of sampling times. Diabetes Care 24(4):796-7.

Tsouli, SG. Liberopoulos, EN. Mikhailidis, DP. Athyros, VG. Elisaf, MS. (2006). Elevated serum uric acid levels in metabolic syndrome: an active component or an innocent bystander? Metabolism 55(10):1293-301.

Vaccaro, O. Masulli, M. Cuomo, V. Rivellese, AA. Uusitupa, M. Vessby, B. et al. (2004). Comparative evaluation of simple indices of insulin resistance. Metabolism 53(12):1522-6.

Wannamethee, SG. Shaper, AG. Lennon, L. Morris, RW.(2005). Metabolic syndrome vs FraminghamRisk score for prediction of coronary heart disease, stroke, and type 2 diabetes mellitus. Arch Intern Med  165(22):2644-50.

Wilson, PW. D'Agostino, RB. Parise, H. Sullivan, L. Meigs, JB. (2005). Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus. Circulation 112(20):3066-72.

World Health Assembly 55.23 (WHA55.23). (2002). Diet, Physical activity and Health. World Health Organization. Available from: http://apps.who.int/gb/archive/pdf_files/WHA55/ewha5523.pdf. Accessed June 23