Effect of branched-chain amino acid supplementation on body composition --- Measured with SBIA: an advanced BIA

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2003-06-01

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Tang F.C

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臺灣營養學會

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本雙盲、對稱平衡設計的研究旨在探討14天支鏈胺基酸之補充,對體能活動高之大學男生身體組成之影響。十九位19~22歲之男性大學生於空腹時,以分段、多頻生物電阻阻抗分析儀測量其身體組成。根據其600公尺捷泳之成績,受試者分作兩組:控制組(n = 9, 身體質量指數 = 24.2±2.1公斤/公尺2; 12克葡萄糖/曰; 廖囊包裝)和支鏈胺基酸組(n = 10,身體質量指數= 22.7±1 .5公斤/公尺2; 12克支鏈胺基酸/日;膠囊包裝;白胺酸54%,異白胺酸19% ,纈胺酸27%)。實驗期間,除了攝取營養捕充劑外,受試者均維持原有之飲食,並進行60 ~ 70%最大保留心跳率之中低強度運動(游泳、划船, ~ 1.5小時/日),為期二週。實驗前、後均作身體組成測量分析。結果發現二組之身體組成均未受到營養補充劑之影響。統合二組之數據後,發現身體質量指數與體脂重之相關性(r2= 0.57, P < 0.05)高於與去脂體重之相關性(r2= 0.35, P < 0.05的。腰臀比則與體脂重(r2= 0.83, P < 0.05)及脂重指數(體脂重/身高2, r2= 0.91, P < 0.05)相關性極高,反倒是與身體質量指數相關性較低(r2= 0.67, P < 0.05)。脂重指數與三頭肌皮脂厚有高度之相關(r2= 0.86, P < 0.05)。腰臀比與三頭肌皮脂厚或可作為體脂重與體脂肪分佈之指標。使用分段、多頻生物電阻阻抗分析儀,不但可以精確且快速地分析身體組成,尚可同時進行體位測量。
This double-blind, counter-balanced study investigated the effect of branched-chain amino acid (BCAA) supplementation on the body composition of male college students majoring in physical education. The body composition of 19 (19~22-year-old) male university students was measured with a segmental bio-electrical impedance analyzer (SBIA) during the post-absorptive stage. Based on the swimming score for 600 m of the crawl stroke, students were divided into two groups: placebo (n = 9, BMI = 24.2 � 2.1 kg/m2; 12 g glucose/day; in capsules) and BCAA ( n = 10, BMI =22.7 � 1.5 kg/m2;12 g BCAA/day; in capsules, leucine 54%, isoleucine 19%, valine 27%) groups. Participants maintained their regular dietary intake and exercise activity with moderate/low intensity (60~70% maximum heart rate reserved, swimming and rowing, ~ 1.5 h/day) during the study. Body composition, measured before and after the 14 days of supplementation, of either group was not affected by dietary supplements. After pooling the data of the two groups, BMI was more closely correlated with body fat mass (r2 = 0.57, p < 0.05) than with fat-free mass (r2 = 0.35, p <0.05). The waist-to-hip ratio (WHR) was highly correlated with body fat mass (r2 = 0.83, p < 0.05) and fat mass index (FMI = fat mass/height2; r2 = 0.91, p < 0.05), but relatively less correlated with BMI (r2 = 0.67,p < 0.05). FMI was highly correlated with triceps skinfold thickness (TSF; r2=0.86, p < 0.05). WHR and TSF can be used as potential indexes of body fat an its distribution. With SBIA, we not only can measure the body composition accurately but also can perform anthropometric assessments efficiently.

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