臺灣博碩士論文加值系統

　　本研究欲探討台灣人群的ADRB2基因rs1042719單核苷酸多型性三種基因型（GG、GC、CC）、運動習慣與體脂率（BFR）、身體質量指數（BMI）的相關性。
　　本研究使用臺灣人體生物資料庫之資料來源進行研究分析，共有7,642人進入研究分析階段，基因型GG組有2,441人，基因型GC組有3,794人，CC組有1,407人。以線性迴歸分析ADRB2基因rs1042719單核苷酸多型性三種基因型（GG、GC、CC）、運動習慣與體脂率（BFR）、身體質量指數（BMI）的相關性，調整干擾因子後，進一步以性別進行分層分析。
　　在分析結果中，依基因型（GG、GC、CC）與運動習慣（ref.=無運動習慣者）對身體質量指數（BMI），在調整干擾因子後分別作線性迴歸分析，其中GG組在有氧運動習慣具顯著（β=-0.19169，p=0.0027），進一步以性別進行分層分析後，男性GG組在有氧運動習慣具顯著（β=-0.29383，p=0.0460）；依基因型（GG、GC、CC）與運動習慣（ref.=無運動習慣者）對體脂率（BFR），在調整干擾因子後分別作線性迴歸分析，其中GG組在球類運動習慣具顯著（β= -1.29740，p= 0.0156），GC組在有氧運動具顯著（β=-3.58017，p= 0.0004），CC組在有氧運動具顯著（β= -0.39159，p= 0.0414），進一步以性別進行分層分析後，男性GG組在球類運動習慣具顯著（β= -1.61618，p= 0.0143），男性GC組在有氧運動習慣具顯著（β= -0.60851，p= 0.0009），男性CC組在有氧運動習慣具顯著（β= -0.65681，p= 0.0399）。
　　本研究結果顯示rs1042719基因型GG組在運動分組中（ref=無運動習慣組），有氧運動習慣組在BMI有較低的趨勢、球類運動習慣組在BFR有較低趨勢，GC組和CC組有氧運動習慣組體脂肪率有較低的趨勢，且在男性有相同顯著狀況，此研究結果可提供後續研究該基因變異狀況對BMI、BFR的因果關係時之參考。

This study intends to explore the association between the three geno-types of ADRB2 gene rs1042719 single nucleotide polymorphism (GG, GC, CC), body fat rate (BFR), body mass index (BMI) in Taiwanese population on exercise. Data sources from the Taiwan Biobank, which collects data of Taiwanese adults.A total of 7,642 participants were entered the research and analysis stage. There were 2,441 people in the genotype GG genotype, 3,794 people in the genotype GC genotype, and 1,407 people in the CC genotype.
Linear regression analysis of the three genotypes of ADRB2 gene rs1042719 single nucleotide polymorphism (GG, GC, CC), exercise habits and body fat rate (BFR), body mass index (BMI) correlation, after adjusting the confounding factors, Further stratified analysis by gender.
In the result, linear regression analysis was performed, of which GG group was Aerobic exercise habits were significantly (β=-0.19169, p=0.0027). After further stratified analysis by gender, the male GG group had significant aerobic exercise habits (β=-0.29383, p=0.0460); according to genotype (GG, GC, CC) and exercise habits (ref. = those without exercise habits). For the body fat percentage (BFR), linear re-gression analysis was performed after adjusting the interference factors. Among them, the GG group had significant ball exercise habits (β = -1.29740, p=0.0156), the GC group had significant aerobic exercise (β=-3.58017, p=0.0004), and the CC group had significant aerobic exercise (β=-0.39159, p=0.0414), further by gender After stratified analysis, the male GG group had significant ball exercise habits (β = -1.61618, p = 0.0143), the male GC group had significant aerobic ex-ercise habits (β = -0.60851, p = 0.0009), and male CC The group had significant aerobic exercise habits (β = -0.65681, p = 0.0399).
The results of this study show that the rs1042719 genotype GG group is in the exercise group (ref=no exercise habit group), the aerobic ex-ercise habit group has a lower trend in BMI, the ball exercise habit group has a lower trend in BFR, the GC group and The body fat rate of the aerobic exercise habits group in the CC group has a lower trend, and the male has the same significant status. The results of this study can provide a reference for the subsequent study of the causal rela-tionship of the gene mutation status to BMI and BFR.

目次
謝誌 I
中文摘要 III
Abstract V
目次 VII
圖目錄 VIII
表目錄 IX
第一章、前言 1
第一節、研究動機 1
第二節、研究目的 4
第二章、文獻探討 5
第一節、ADRB2基因與肥胖 5
第二節、BMI、BFR與疾病 6
第三節、運動與BMI BFR 7
第三章、研究方法 8
第一節、研究架構 8
第二節、研究資料與研究對象 9
第三節、研究變項定義 11
第四節、統計方法 14
第五節、研究流程 16
第四章、研究結果 17
第一節、基本人口學分析 17
第二節、線性迴歸分析 20
第三節、性別分層分析 23
第五章、討論 25
第一節、討論 25
第二節、研究限制 29
第六章、結論 30
參考文獻 31
 
圖目錄
圖一、研究架構圖 8
圖二、研究流程圖 16
圖三、運動類型於線性迴歸分析中之顯著結果呈現 28

 
表目錄
Table1 Demographic characteristics 34
Table2 multiple linear regression in body fat rate 35
Table3 multiple linear regression in body mass index stratified by rs1042719 36
Table 4 multiple linear regression in body mass index stratified by sex, for female stratification 38
Table5 multiple linear regression in body mass index stratified by sex, for male stratification 39
Table 6 multiple linear regression in body fat rate stratified by rs1042719 40
Table 7 multiple linear regression in body fat rate stratified by sex, for female stratification 42
Table 8 multiple linear regression in body fat rate stratified by sex, for male stratification 43

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