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研究生: 林文煌
Wen-Hwang Lin
論文名稱: 磁共振造影、水中稱重和生物電阻法評估體脂肪百分比之研究
Body Fat Assessments among Magnetic Resonance Imaging, Underwater
指導教授: 謝伸裕
Hsieh, Shen-Yu
學位類別: 碩士
Master
系所名稱: 體育學系
Department of Physical Education
畢業學年度: 83
語文別: 中文
論文頁數: 52
中文關鍵詞: 磁共振造影法(MRI); 水中稱重法(UWW); 生物電阻法(BIA);
英文關鍵詞: magnetic resonance imaging (MRI); underwater weighing (UWW);
論文種類: 學術論文
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  • 體脂肪百分比的評量,在健康和運動表現上均是重要的課題,但
    測量體脂肪百分比的方法有很多種,且其結果也不盡相同。所以本研
    究的目的在以磁共振造影法(MRI)為效標,評估水中稱重法(UWW)
    和生物電阻法(BIAt 和 BIAs)測量體脂肪百分比之準確性。
    本研究以台灣地區男子12名為受試對象,平均年齡36.4±6.4歲,
    平均身高 169.0±5.3 公分,平均體重 67.1±11.2 公斤。受試者分
    別接受 MRI、BIAt、BIAs 和 UWW 之測試。所得資料以重複量數單因
    子變異數分析進行處理,結果發現:
    一、MRI 所測得之體脂肪百分比平均為 18.6±6.7 %。
    二、UWW 所測得之體脂肪百分比平均為 15.3±7.2 %,顯著的低於
    MRI 所測得體脂肪百分比,相差 18 %。
    三、BIAt 和 BIAs所測得之體脂肪百分比平均分別是 22.1±5.7 %
    和 25.4±6.0 %,顯著的高於 MRI 所測得的體脂肪百分比,分
    別高出 19%和 37 %。
    根據結果經過討論可得以下結論:水中稱重法中由密度求體脂肪
    百分比之 Siri 公式,和生物電阻法(BIAt 和 BIAs)所使用之製造
    廠商預測公式,可能是與MRI結果誤差之所在,所以這些公式均有再
    進一步研究甚至修正的必要。

    Human body fat assessment is of great importance in health
    and athletic performance. However , different body fat assess-
    ment methods yield different values for percent body fat.
    The purpose of this study was to evaluate the accuracy of
    body fat assessment by underwater weighing (UWW) and bioelec-
    trical impedance analysis (BIA) , using magnetic resonance
    imaging (MRI) as the criterion. Twelve adult male were involv-
    ed in this study. Their average age was 36.4±6.4 yrs , height
    169.0±5.3 cm and weight 67.1±11.2 kgs. All subjects were
    tested using MRI , UWW and 2 kinds of BIA (BIAt and BIAs).
    One-way ANOVA with repeated measures was used for data analy-
    sis. The results were :
    1.Mean values of body fat percentage (BF%) tested by MRI was
    18.6±6.7%.
    2.The BF% measured by UWW was 15.3±7.2% which was signifi-
    cantly less than BF% of MRI by 18%.
    3.The BF% measured by BIAt (22.1±5.7%) and BIAs (25.4±6.0%)
    were significantly higher than BF% of MRI by 19% and 37% .
    It can be concluded that the Siri equation that converts
    density to body fat percentage in UWW , and the BIAt and BIAs
    predication equation used by the company may be the causes of
    the discrepancy with the MRI values. Therefore , the equations
    may need to be revised.
    Human body fat assessment is of great importance in health

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