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研究生:王琴惠
研究生(外文):Wang, Chin Hui
論文名稱:身體質量指數及腰圍預測台灣中老年人糖尿病風險之探討
論文名稱(外文):Predicting The Risk Of Diabetes With BMI And Waist Circumference In Older Taiwanese
指導教授:蔡仲弘蔡仲弘引用關係
指導教授(外文):Tsai, Alan C
口試委員:郭家芬王俊毅蔡仲弘
口試委員(外文):Kuo, Chia FengWang, Jiun YiTsai, Alan C
口試日期:2012-06-21
學位類別:碩士
校院名稱:亞洲大學
系所名稱:健康產業管理學系健康管理組碩士在職專班
學門:醫藥衛生學門
學類:公共衛生學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:中文
論文頁數:26
中文關鍵詞:身體質量指數腰圍糖尿病中老年人
外文關鍵詞:BMIWaist circumferenceDiabetesOlder Taiwanese
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背景:糖尿病是公共衛生及臨床醫學重要的議題。中老年人糖尿病的相關研究在國內外早已受重視,但以身體質量指數(BMI)及腰圍(waist circumference)預測中老年糖尿病風險的追蹤研究不多。
目的:本研究目的在比較台灣中老年人BMI及腰圍與糖尿病的關聯,及兩指標預測罹患糖尿病的能力。
方法:本研究分析「台灣地區中老年身心社會生活健康狀況長期追蹤調查研究」2003及2007年資料庫。以4987名於2003年≥50歲中老年人為研究對象。以邏輯斯迴歸分析2003年BMI和腰圍與糖尿病風險之關聯,及2003年BMI和腰圍預測2007年罹患糖尿病風險的能力。又以ROC分析兩指標預測糖尿病風險的切點。
結果:橫斷性分析顯示BMI及腰圍都與糖尿病的風險呈顯著關聯,而縱性分析顯示BMI及腰圍都具預測未來罹患糖尿病的功能,但是腰圍比BMI的預測力強。當迴歸模式同時含BMI及腰圍兩變項時,僅腰圍具顯著關聯或預測罹患糖尿病的能力,BMI則不顯著。而BMI及腰圍兩判定糖尿病風險指標的切點(cutoff)因年齡或性別而有所不同,男性及女性的BMI的切點隨年齡減低,但腰圍則隨年齡增加。
結論:本研究結果顯示BMI和腰圍皆具預測中老年罹患糖尿病的能力,但腰圍預測力較強。而BMI和腰圍預測罹患糖尿病風險的切點則依性別、年齡而不同。此結果與現行台灣中老年人糖尿病風險的建議切點有所不同。
Background: Diabetes is an issue in public health and clinical medicine. Many studies have been conducted to pinpoint the predictors of diabetes in older adults, but the predictive ability of BMI and waist circumference has not been carefully evaluated in older Taiwanese.
Objectives: The objective of this study was to determine the association of BMI and waist circumference (WC) with diabetes, and to evaluate the abilities of these two indicators to predict new cases of diabetes in older Taiwanese.
Methods: This study analyzed the 2003 and 2007 database of "the Survey of Health and Living Status of the Elderly in Taiwan". We performed a cross-sectional analysis involving 4987 subjects (≥50 years old) to determine the association in 2003 and a longitudinal analysis involving 3,626 subjects to determine the ability of BMI and WC in predicting diabetes four years later. The study also analyzed the cutoffs using Receiver Operating Characteristics.
Results: In regression models controlled for demographic, lifestyle and health status variables, cross-sectional analysis showed that BMI and waist circumference were significantly associated with diabetes. The study also showed that both BMI and waist circumference can predict the risk of new diabetes in four years. WC showed a stronger association in both cases. The BMI cutoffs for diabetes decreased with aging in both men and women, while WC cutoffs increased with aging in both men and women.
Conclusion: Although both BMI and waist circumference are significantly associated with the risk of diabetes, or the risk of new diabetes. Waist circumference is a better predictor of new diabetes in older Taiwanese. The predicted cutoffs for diabetes are age-related, an observation inconsistent with the cutoffs suggested by the Bureau of Health Promotion. The recommended cutoffs for diabetes may deserve more careful consideration.
中文摘要
英文摘要
目錄i
表目錄ii
前言 1
相關研究 2
研究目的 4
研究方法 4
結果 6
討論 8
結論 13
參考文獻 14

表目錄
表一、研究樣本於2003年社會人口學、生活方式及健康有關變項的分佈情形 18
表二、研究樣本於2003年社會人口學與糖尿病單變項的卡方檢定 20
表三、男性個案BMI及腰圍與糖尿病風險的橫斷性(2003年)邏輯斯迴歸分析 22
表四、女性個案BMI及腰圍與糖尿病風險的橫斷性(2003年)邏輯斯迴歸分析 23
表五、以邏輯斯迴歸分析2003年BMI及腰圍預測2007年男性糖尿病風險的能力 24
表六、以邏輯斯迴歸分析2003年BMI及腰圍預測2007年女性糖尿病風險的能力 25
表七、以Receiver Operating Characteristics分析2003年BMI與腰圍預測2003年中老年男和女性糖尿病風險及確定切點 26
1. 行政院衛生署(2011,7月29日)‧民國99年死因統計結果分析‧2012年6月7日取自
http://www.doh.gov.tw/CHT2006/DM/DM2_2.aspx?now_fod_list_o=11962 & class_no=440&level_no=4
2. 行政院衛生署食品藥物管理局(2011,5月9日)‧2005-2008台灣國民營養健康狀況變遷調查結果‧2012年6月7日取自
http://consumer.fda.gov.tw/Pages/List.aspx?nodeID=287
3.Shaw JE, Sicree RA, Zimmet PZ: Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract 2010, 87(1):4-14.
4.Araki A, Ito H: Diabetes mellitus and geriatric syndromes. Geriatr Gerontol Int 2009, 9(2):105-114.
5.Klein S, Allison DB, Heymsfield SB, Kelley DE, Leibel RL, Nonas C, Kahn R: Waist circumference and cardiometabolic risk: a consensus statement from shaping America's health: Association for Weight Management and Obesity Prevention; NAASO, the Obesity Society; the American Society for Nutrition; and the American Diabetes Association. Diabetes Care 2007, 30(6):1647-1652.
6.Gallagher D, Visser M, Sepulveda D, Pierson RN, Harris T, Heymsfield SB: How useful is body mass index for comparison of body fatness across age, sex, and ethnic groups? Am J Epidemiol 1996, 143(3):228-239.
7.Lopatynski J, Mardarowicz G, Szczesniak G: A comparative evaluation of waist circumference, waist-to-hip ratio, waist-to-height ratio and body mass index as indicators of impaired glucose tolerance and as risk factors for type-2 diabetes mellitus. Ann Univ Mariae Curie Sklodowska Med 2003, 58(1):413-419.
8.Huxley R, James WP, Barzi F, Patel JV, Lear SA, Suriyawongpaisal P, Janus E, Caterson I, Zimmet P, Prabhakaran D et al: Ethnic comparisons of the cross-sectional relationships between measures of body size with diabetes and hypertension. Obes Rev 2008, 9 Suppl 1:53-61.
9.Wannamethee SG, Papacosta O, Whincup PH, Carson C, Thomas MC, Lawlor DA, Ebrahim S, Sattar N: Assessing prediction of diabetes in older adults using different adiposity measures: a 7 year prospective study in 6,923 older men and women. Diabetologia 2010, 53(5):890-898.
10.Vazquez G, Duval S, Jacobs DR, Jr., Silventoinen K: Comparison of body mass index, waist circumference, and waist/hip ratio in predicting incident diabetes: a meta-analysis. Epidemiol Rev 2007, 29:115-128.
11.Qiao Q, Nyamdorj R: Is the association of type II diabetes with waist circumference or waist-to-hip ratio stronger than that with body mass index? Eur J Clin Nutr 2010, 64(1):30-34.
12.Sanchez-Viveros S, Barquera S, Medina-Solis CE, Velazquez-Alva MC, Valdez R: Association between diabetes mellitus and hypertension with anthropometric indicators in older adults: results of the Mexican Health Survey, 2000. J Nutr Health Aging 2008, 12(5):327-333.
13.Paek KW, Chun KH: Sex difference of type 2 diabetes affected by abdominal obesity versus overall obesity. Yonsei Med J 2010, 51(6): 850-856.
14.Choi S: Anthropometric measures and lipid coronary heart disease risk factors in Korean immigrants with type 2 diabetes. J Cardiovasc Nurs 2011, 26(5):414-422.
15.Shah A, Bhandary S, Malik SL, Risal P, Koju R: Waist circumference and waist-hip ratio as predictors of type 2 diabetes mellitus in the Nepalese population of Kavre District. Nepal Med Coll J 2009, 11(4):261-267.
16.Friedl KE: Waist circumference threshold values for type 2 diabetes risk. J Diabetes Sci Technol 2009, 3(4):761-769.
17.Meisinger C, Doring A, Thorand B, Heier M, Lowel H: Body fat distribution and risk of type 2 diabetes in the general population: are there differences between men and women? The MONICA/KORA Augsburg cohort study. Am J Clin Nutr 2006, 84(3):483-489.
18.Wang Y, Rimm EB, Stampfer MJ, Willett WC, Hu FB: Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men. Am J Clin Nutr 2005, 81(3):555-563.
19.Rostambeigi N, Shaw JE, Atkins RC, Ghanbarian A, Cameron AJ, Forbes A, Momenan A, Hadaegh F, Mirmiran P, Zimmet PZ et al: Waist circumference has heterogeneous impact on development of diabetes in different populations: longitudinal comparative study between Australia and Iran. Diabetes Res Clin Pract 2010, 88(1):117-124.
20.Kim CH, Kim HK, Kim EH, Bae SJ, Park JY: Impact of body mass index on the predictive ability of body fat distribution for Type 2 diabetes risk in Koreans. Diabet Med 2012. doi: 10.1111/j.1464-5491.2012.03661.x.
21.Heo M, Faith MS, Pietrobelli A, Heymsfield SB: Percentage of body fat cutoffs by sex, age, and race-ethnicity in the US adult population from NHANES 1999-2004. Am J Clin Nutr 2012, 95(3):594-602.
22.Qiao Q, Nyamdorj R: The optimal cutoff values and their performance of waist circumference and waist-to-hip ratio for diagnosing type II diabetes. Eur J Clin Nutr 2010, 64(1):23-29.
23.Cheong KC, Yusoff AF, Ghazali SM, Lim KH, Selvarajah S, Haniff J, Khor GL, Shahar S, Rahman JA, Zainuddin AA et al: Optimal BMI cut-off values for predicting diabetes, hypertension and hypercholesterolaemia in a multi-ethnic population. Public Health Nutr 2012:1-7. DOI: http://dx.doi.org/10.1017/S1368980012002911
24.Tseng CH, Chong CK, Chan TT, Bai CH, You SL, Chiou HY, Su TC, Chen CJ: Optimal anthropometric factor cutoffs for hyperglycemia, hypertension and dyslipidemia for the Taiwanese population. Atherosclerosis 2010, 210(2):585-589.
25.Ye Y, Bao Y, Hou X, Pan X, Wu H, Li H, Wang C, Tang J, Lu H, Xiang K et al: Identification of waist circumference cutoffs for abdominal obesity in the Chinese population: a 7.8-year follow-up study in the Shanghai urban area. Int J Obes (Lond) 2009, 33(9):1058-1062.
26.Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 2004, 363(9403):157-163.
27.Tan ML, Wee HL, Lee J, Ma S, Heng D, Tai ES, Thumboo J: Association of anthropometric measures with SF-36v2 PCS and MCS in a multi-ethnic Asian population. Qual Life Res 2012. Doi:10.1007/s11136-012-0193-8.
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