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題 名 | 評估最大攝氧量模式研究=A Study of VO[feaf]max Estimation Model |
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作 者 | 林建得; 陳坤檸; 劉勇君; 林瑞興; 陳德宗; 丁春枝; | 書刊名 | 大專體育學刊 |
卷 期 | 4:2 2002.12[民91.12] |
頁 次 | 頁197-206 |
分類號 | 528.9012 |
關鍵詞 | 最大攝氧量; 腳踏車測驗; 身體特徵; 迴歸模式; VO[feaf]max; Cycling test; Physical characteristic; Regression model; |
語 文 | 中文(Chinese) |
中文摘要 | 本研究旨在探討身體特徵測量變項和次強度運動生理變化指標與最大攝氧量之相關趨勢,以有效變項預測受試者之最大攝氧量,建立預測最大攝氧量模式,期能成為最大攝氧量運動測驗前或是擬定運動訓練強度之參考依據。參與本研究之有效樣本為一般健康男性共計111名,年齡範圍為18~50歲,平均年齡為29.63±10.16歲、身高為171.20±5.53公分、體重為69.04±8.24公斤。所有受試者皆接受身體特徵測量,分別以BMI、BIA電阻法及皮脂夾法評估身體組成,並以漸增負荷強度的原地腳踏車最大運動測驗最大攝氧能力,全部受試者最大攝氧量平均為 38.34±7.16ml/kg/min。本研究結果以皮爾遜積差相關法分析結果發現受試者之年齡、安靜心跳率、身高、體重、身體質量指數、電阻法體脂肪百分比、皮脂夾法體脂肪百分比、心跳達150次/分時的攝氧量與運動功率、心跳達170次/分時的攝氧量與運動功率、最大心跳率、最大運動功率等生理指標和最大攝氧量皆達顯著相關(r=-.71~.78, P<.01) ,並以多元迴歸分析建立十一個評估最大攝氧量迴歸模式(R^2=. 49~.82, P<.01) ,適用於相同年齡層之健康族群,可依環境與測驗器材之取得及方便性以選擇應用本研究之評估模式,簡便有效評估個人最大攝氧量水平。本研究主要貢獻是可供臨床應用及作為評估一般人的健康體適能情況與擬定運動訓練處方之參考。 |
英文摘要 | The purpose of the study was to investigate the relationships between VO2(subscript max) among anthropometrical and physiological variables, including age, body height, weight, body composition, sub-maximal intensity exercise, and work rate. There were Ill males participated in this study, the average age, body height and weight were 29.63 ± 10.16 years, 171.20 ± 5.53cm, 69.04 ± 8.24kg,respectively. All subjects performed a maximal oxygen uptake testing and anthropometrical measurements. The physiological measurements were examined maximal cycling exercise and anthropometry, in which included percent body fat, and skinfold thickness. Heart rate and oxygen intake variables were measured during the experimental period. Anthropometrical data were recorded for data analysis. The findings of this study included that there was a significant relationship among VO2(subscript max), anthropometrical and physiological variables(r=-.71~7.8; p<.01). By the multiple regression analysis results, we established eleven maximal oxygen uptake predicted equations(R^2 =.49~.82, p<.0l). Those equations can be recommended to estimate VO2(subscript max) for normally active health subjects. According to those results of this study, the predicated equations can be classified as valid and reliable models for VO2(subscript max) prediction. The contribution of this study was to applie to estimate the physical-related fitness and the reference of planning exercise-training prescription for normally active health group. |
本系統中英文摘要資訊取自各篇刊載內容。