Title page for 982205002


[Back to Results | New Search]

Student Number 982205002
Author Maushan Mai(麥茂炫)
Author's Email Address tjack52014@hotmail.com
Statistics This thesis had been viewed 375 times. Download 20 times.
Department Graduate Institute of Statistics
Year 2010
Semester 2
Degree Master
Type of Document Master's Thesis
Language zh-TW.Big5 Chinese
Title A statistical look at the appropriateness of the diagnostic
criteria of metabolism syndrome
Date of Defense 2011-06-02
Page Count 53
Keyword
  • metabolism syndrome
  • Abstract In the previous literatures, cardiovascular disease and future occurrence of
    type II diabetes have direct relationship with metabolic syndrome. And the
    criteria to determine the metabolic syndrome is that if there exists at least three
    which are abnormal of five factors in the individual. Here are three main parts in
    this thesis. First of all, we will check whether the more abnormal values of
    syndrome factor becomes the higher risk of metabolic syndrome or not.
    Secondly, we will talk about that the correlations between each syndrome factors,
    and we will find out whether the higher correlations between the five syndrome
    factors becomes the higher possibilities of metabolic syndrome? Finally, we
    consider some factors such as age, BMI, drinking, smoking, and chewing betel
    nut, which are risk factors, whether these risk factors affect the incidence of
    metabolic syndrome or not.
    Table of Content 摘要 .................................................................................................................... i
    Abstract .............................................................................................................. ii
    致謝辭 .............................................................................................................. iii
    目錄 .................................................................................................................. iv
    表目錄 ............................................................................................................... v
    圖目錄 ............................................................................................................. vii
    第一章 緒論...................................................................................................... 1
    第二章 研究方法 .............................................................................................. 5
    第三章 實例分析 ............................................................................................ 16
    第四章 模擬研究 ............................................................................................ 33
    第五章結論 ..................................................................................................... 40
    參考文獻 ......................................................................................................... 42
    Reference [1]Reaven, G.M., (1993). Role of insulin resistance in human disease (syndrome
    X) an expanded definition. Annu. Rev. Med., 44, 121-131.
    [2]Alberti, K.G., Zimmet, P.Z., (1998). Definition, diagnosis and classification
    of diabetes mellitus and its complications. Part 1: diagnosis and classification
    of diabetes mellitus provisional report of a WHO consultation. Diabet. Med.,
    15, 539–553.
    [3]Balkau, B., Charles, M.A., (1999). Comment on the provisional report from
    the WHO consultation: European Group for the Study of Insulin Resistnce.
    Diabet. Med., 16, 442–443.
    [4] National Cholesterol Education Program, (2002). Expert Panel on Detectionand
    Treatment of High Blood Cholesterol in Adults. Third Report of the National
    Cholesterol Education Program (NCEP) Expert Panel on D- etection,
    Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treat
    ment Panel III) final report. Circulation, 106, 3143–3421.
    [5] Grundy, S.M., Cleeman, J.I., Daniels, S.R., Donato, K.A., Eckel,R.H., Franklin,
    B.A., Gordon, D.J., Krauss, R.M., Savage, P.J.,Smith, SC.Jr., Spertus,
    JA., Costa ,F., (2005). American Heart Association; National Heart, Lung,
    and Blood Institute: Diagnosis and management of the metabolic syndrome,
    an American Heart Association/National Heart, Lung and Blood Institute
    scientific stat ement. Circulation, 112, 2735-2752.
    [6] Zimmet ,P., Magliano, D., Matsuzawa, Y., Alberti, G., Shaw, J., (2005). The
    metabolic syndrome: a global public health problem and a new definition.
    J Atheroscler Thromb, 12 , 295–300.
    [7]Alberti, K.G., Eckel, R.H., Grundy, S.M., Zimmet, P.Z., Cleeman, J.I.,Donato,
    K.A., Fruchart, J.C., James,W.P., Loria, C.M., Smith, S.C., (2009). Harmonizing
    the metabolic syndrome. A joint interim statement of the International
    Diabetes Federation Task Force on Epidemiology and Prev- ention,National
    Heart,Lung,and Blood Institute; American Heart Assoc- iation, World Heart
    Federation; International Atherosclerosis Society,and International Association
    for the Study of Obesity. Circulation,120, 1640-1645.
    [8]Reaven, G.M., (1998). Banting lecture. Role of insulin resistance in humman
    disease. Diabetes, 37, 1595–1607.
    [9]Lillioja, S., Mott, D.M., Spraul, M., Ferraro, R., Foley, J.E., Ravussin, E.,
    Knowler, W.C., Bennett, P.H., Bogardus, C., (1993).Insulin resistance and
    insulin secretory dysfunction as precursors of non-insulin-dependent diabetes
    mellitus.Prospective studies of Pima Indians. N. Engl. J. Med., 329(27),
    44
    1988-1992.
    [10]Reaven, G.M., (1992).The role of insulin resistance and hyperinsulinemia
    in coronary heart disease.Metabolism, 41(5 Suppl 1), 16-19
    [11]Ferrannini, E., Natali, A., Capaldo, B., Lehtovirta, M., Jacob, S., Yki-Já-rvnen,
    H., (1997). Insulin resistance, hyperinsulinemia, and blood pressure:
    role of age and obesity. European Group for the Study of Insulin Resistance
    (EGIR).Hypertension, 30, 1144–1149.
    [12]Ingelsson, E., Sundstrom, J., Arnlov, J., Zethelius, B., Lind, L., (2005). Insulin
    resistance and risk of congestive heart failure. J.A.M.A., 294, 334–341.
    [13]Sattar, N., Gaw, A., Scherbakova, O., Ford, I., O'Reilly, D.S., Haffner, S.M.,
    Isles, C., Macfarlane, P.W., Packard, C.J., Cobbe, S.M., Shepherd, J., 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), 414-419.
    [14]Lakka, H.M., Laaksonen, D.E., Lakka, T.A., Niskanen, L.K., Kumpusalo,E.,
    Tuomilehto, J., Salonen, J.T., 2002.The metabolic syndrome and total and
    cardiovascular disease mortality in middle-aged men. J.A.M.A., 288(21),
    2709-2716.
    [15]Ginsberg, H.N., MacCallum, P.R., (2009).The obesity, metabolic syndrome,
    and type 2 diabetes mellitus pandemic: Part I. Increased cardiovascular
    disease risk and the importance of atherogenic dyslipidemia in person with
    the metabolic syndrome and type 2 diabetes mellitus. Journal of the cardiometabolic
    syndrome, 4(2), 113-119.
    [16]Opie, L.H., (2007). Metabolic syndrome. Circulation, 115:32-35.
    [17] Huang, P.L., (2009), A comprehensive definition for metabolic syndrome.
    Dis. Model. Mech., 2(5-6), 231–237.
    [18]Park, YW., Zhu, S., Palaniappan, L., Heshka, S., Carnethon, MR., Heymsfield,
    S.B., (2003). The metabolic syndrome: prevalence and associated risk
    factor findings in the US population from the Third National Health and
    Nutrition Examination Survey, 1988-1994. Arch. Inter. Med., 163(4), 427
    -436.
    [19]Ford, E.S.,Giles, W.H., (2003). A comparison of the prevalence of the metabolic
    syndrome using two proposed definitions. Diabetes Care, 26(3), 575-
    581.
    [20]Ford, E.S., Giles,W.H., Dietz, W.H., (2002). Prevalence of the metabolic
    syndrome among US adults: findings from the third National Health and
    Nutrition Examination Survey. J.A.M.A., 287(3), 356-359.
    [21] Assmann, G., Guerra, R., Fox, G., Cullen, P., Schulte, H., Willett, D.,
    45
    Grundy, S.M., (2007). Harmonizing the definition of the metabolic syndrome:
    comparison of the criteria of the Adult Treatment Panel III and the
    international Diabetes Federation in United States American and European
    populations. Am. J. Cardiol., 99(4), 541-822.
    [22]Balkau, B., Charles, M.A., Drivsholm,T., Borch-Johnsen, K., Wareham N,
    Yudkin,J.S., Morris, R., Zavaroni, I., van Dam, R., Feskins, E., Gabriel, R.,
    Diet, M., Nilsson, P., Hedblad, B., (2002). European Group For The Study of
    Insulin Resistance(EGIR). Frequency of the WHO metabolic syndrome in
    European cohorts, and an alternative definition of an insulin resistance
    syndrome. Diabetes Metab., 28(5), 364-376.
    [23] Anand, S.S., Yi, Q., Gerstein, H., Lonn, E., Jacobs, R., Vuksan, V., Teo, K.,
    Davis, B., Montague, P., Yusuf, S., (2003). Study of Health Assessment and
    Risk in Ethnic Groups; Study of Health Assessment and Risk Evaluation in
    Aboriginal Peoples Investigators.Relationship of metabolic syndrome and
    fibrinolytic dysfunction to cardiovascular disease. Circulation, 108(4), 420-
    425.
    [24]Gupta, R., Deedwania, P.C., Gupta, A., Rastogi, S., Panwar, R.B., Kotha- ri,
    K, (2004).Prevalence of metabolic syndrome in an Indian urban population.
    Int. J. Cardiol., 97(2), 257-261.
    [25] Kozan, O., Oguz, A., Abaci, A., Erol, C., Ongen, Z., Temizhan, A., Cel- ik,
    S., (2007). Prevalence of the metabolic syndrome among Turkish adults.
    Eur. J. Clin. Nutr., 61(4),548-553.
    [26]Zabetian, A., Hadaegh, F., Azizi, F., (2007). Prevalence of metabolic syndrome
    in Iranian adult population, concordance between the IDF with the
    ATPIII and the WHO definitions. Diabetes Res Clin. Pract., 77(2), 251-257.
    [27]Chuang, S.Y., Chen, C.H., Chou, P., 2004. Prevalence of metabolic Syndrome
    in a large health check-up population in Taiwan. J. Chin. Med. Assoc.,
    67(12), 611-620.
    [28]Chen, H.J., Pan, W.H., (2007). Probable blind spot in the International
    Diabetes Federation definition of metabolic syndrome. Obesity (Silver Spring),
    15(5), 1096-1100.
    [29]Chen, H.J., Bai, C.H., Yeh, W.T., Chiu, H.C., Pan, W.H., (2006). Influence
    of metabolic syndrome and general obesity on risk of ischemic stroke,
    37(4), 1060-1064.
    [30]Lawrence, J., and Marion, R., (1991), A Method for Generating High-
    Dimensional Multivariate Binary Variates,The American Statistician,
    Vol.45, No.4, pp 302-304.
    Advisor
  • Tsung-Shan Tsou(鄒宗山)
  • Files
  • 982205002.pdf
  • approve in 3 years
    Date of Submission 2011-07-08

    [Back to Results | New Search]


    Browse | Search All Available ETDs

    If you have dissertation-related questions, please contact with the NCU library extension service section.
    Our service phone is (03)422-7151 Ext. 57407,E-mail is also welcomed.