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規律運動者的腹部脂肪分佈和體圍的關係

The Relationship between Regular Exercisers' Abdominal Fat Distribution and Body Circumferences

摘要


Many studies have used waist circumference (WC) and hip circumference (HC) to predict abdominal fat distribution. However, most of these studies have focused on the general population. PURPOSE: To determine whether abdominal body circumferences can predict fat distribution. METHODS: Thirty-one individuals (age 31.5±11.4 years, body mass index 23.2±2.2kg/m^2) who had been regular joggers, swimmers and weight lifters for more than 5 years served as the exercise group (EXE). Twelve sedentary persons (age 33.0±6.3 years, BMI 20.5±2.2kg/m^2) were the control group (CON). Magnetic resonance imaging (MRI) was used to determine abdominal fat volume distribution. A non-elastic ruler was used to gauge waist circumference (WC) and hip circumference (HC). The waist-to-hip ratio (WHR) was calculated as the WC divided by HC. RESULTS: The EXE and CON groups' abdominal visceral fat volume were 0.58±0.3L, 0.84±0.3L; abdominal subcutaneous fat volume 2.05±0.9L, 2.22±0.9L; WC 78.6±4.5cm, 77.4±6.3cm; HC 94.2±4.4cm, 91.5±4.4cm; WHR 0.83±0.03, 0.85±0.04, respectively. Abdominal visceral fat volume was significantly correlated with WHR, WC and BMI (0.67, 0.66, 0.51, respectively; p<0.05). Using stepwise regression, WHR could explain 45% the variance of the abdominal fat volume. When both WHR and BMI entered the regression analysis, the variance explanation could reach 58%. CONCLUSION: The waist and hip circumference can predict the visceral fat volume of people who exercise regularly.

並列摘要


Many studies have used waist circumference (WC) and hip circumference (HC) to predict abdominal fat distribution. However, most of these studies have focused on the general population. PURPOSE: To determine whether abdominal body circumferences can predict fat distribution. METHODS: Thirty-one individuals (age 31.5±11.4 years, body mass index 23.2±2.2kg/m^2) who had been regular joggers, swimmers and weight lifters for more than 5 years served as the exercise group (EXE). Twelve sedentary persons (age 33.0±6.3 years, BMI 20.5±2.2kg/m^2) were the control group (CON). Magnetic resonance imaging (MRI) was used to determine abdominal fat volume distribution. A non-elastic ruler was used to gauge waist circumference (WC) and hip circumference (HC). The waist-to-hip ratio (WHR) was calculated as the WC divided by HC. RESULTS: The EXE and CON groups' abdominal visceral fat volume were 0.58±0.3L, 0.84±0.3L; abdominal subcutaneous fat volume 2.05±0.9L, 2.22±0.9L; WC 78.6±4.5cm, 77.4±6.3cm; HC 94.2±4.4cm, 91.5±4.4cm; WHR 0.83±0.03, 0.85±0.04, respectively. Abdominal visceral fat volume was significantly correlated with WHR, WC and BMI (0.67, 0.66, 0.51, respectively; p<0.05). Using stepwise regression, WHR could explain 45% the variance of the abdominal fat volume. When both WHR and BMI entered the regression analysis, the variance explanation could reach 58%. CONCLUSION: The waist and hip circumference can predict the visceral fat volume of people who exercise regularly.

參考文獻


Callaway, C. W.,Chumlea, W. C.,Bouchard, C.,Himes, J. H.,Lohman, T. G.,Martin, A. D et al.(1988).In : T. G., Lohman, A. F. Roche, & R. Martorell, (Eds), Anthropometric standardization reference manual measurement (Abridged edition).Champaign, Il:Human Kinetics Books.
Colberg, S. R.,Simoneau, J.,Thaete, F. L.,Kelley, D. E.(1995).Skeletal muscle utilization of free fatty acids in women with visceral obesity.The Journal of Clinical Investigation.95,1846-1853.
Despres, J.,Denis P.,Pouliot, M.,Trembly, A.,Bouchr, C.(1991).Estimation of deep abdominal adipose-tissue accumulation from simple anthropometric measurements in men.American Journal Clinical Nutrition.54,471-477.
Jackson, A. W.,Morrow Jr, J. R.,Hill, D. W.,Dishman, R. K.(2004).Physical activity for health and fitness.Champaign, Il:Human Kinetics Books.
Kvist, H.,Chowdury, B.,Gangard, U.,Tyien, U.,Sjostrom, L.(1988).Adipose tissue volume determination in males by computed tomography and 4 K.International Journal of Obesity.12,249-266.

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張錦基(2010)。迴歸分析、類神經網路與遺傳演算神經網路於人體脂肪測定及推算之探討〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2010.00002

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