臺灣博碩士論文加值系統

本研究以多肢段生物電阻抗法估測台灣地區優秀男子足球運動員體脂肪，測量結果對照雙能Ｘ光吸收儀所測得之各肢段阻抗值為效標進行比對以建立優秀男子足球運動員之體脂肪估測方程式。方法：研究對象為二十六名台灣男甲組足球員(身高173.57±5.75cm，體重65.67±4.97Kg，體脂肪率9.20%±5.27%)。以多肢段生物電阻抗儀(Tanita,BC-418)測量其身體組成與各肢段電阻抗值，經線性迴歸分析(Linear regression analysis)取得各肢段非脂肪質量估測方程式，並以雙能X光吸收儀所測得之各肢段阻抗值為效標進行比對。運用Pearson 相關係數檢驗DXA與多肢段生物電阻抗儀在各肢段、全身非脂肪質量的相關性。結果：經以生物電阻抗法測得之各肢段之脂肪質量與雙能X光吸收儀測量之相關性(上肢R=0.71，標準差=0.297公斤、下肢R=0.81，標準差=0.730公斤、軀幹R=0.87，標準差=1.210公斤)，優於多肢段生物電阻抗與雙能X光吸收儀測量結果相關性(上肢R=0.62，標準差=0.318公斤、下肢R=0.70，標準差=0.848公斤、軀幹R=0.72，標準差=1.803公斤)。本研究所發展多肢段生物電阻抗分析(BIA)測量脂肪估算程式可以較準確預測男子足球員身體組成。

To establish the appropriate predictive equations of body segments by bioelectrical impedance analysis (BIA) in Taiwan elite male football players, 26 disciplined players at first grade in collegiate league, have been recruited in this study. The measurement data by our newly developed predictive equation was compared with which by Tanita BC-418 to confirm the greater performance in prediction of body composition in our equation. The actual analyzed data of segments body composition by dual-energy X-ray absorptiometry (DXA) was taken as reference one. Both of the correlation coefficients of whole body fat free mass (FFM) measured by DXA between by BC-418 as well as that of by our newly developed predictive equation were over 0.95. However, the correlation coefficients of upper limb, lower limb and truck FFM measured by predictive equation highly correlated to that of by the reference DXA were 0.75, 0.76 and 0.89, respectively. They all were better than that of by BC-418 measurement. In summary, the greater performance in prediction of segments body composition in our developed predictive equation by BIA measurement has shown the possibility of application for monitoring athlete body composition, especially, the limb and trunk.

Abstract p.1
摘 要 p.3
Contents p.6
List of Figure p.7
List of Table p.8
Chapter1 Introduction p.9
Chapter 2 Aims p.12
Chapter 3 Materials and Methods p.14
3.1 Subjects p.14
3.2 Statistical analysis p.15
Chapter 4 Results p.16
Chapter5 Discussion p.19
Conclusion p.21
References p.47

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