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身体特征和生活习惯与跑步机运动能力的关系。

Relationship of physical characteristics and life habits to treadmill exercise capacity.

作者信息

Leon A S, Jacobs D R, DeBacker G, Taylor H L

出版信息

Am J Epidemiol. 1981 Jun;113(6):653-60. doi: 10.1093/oxfordjournals.aje.a113144.

Abstract

Apparently healthy middle-aged men (n = 175) were recruited from a population sample and completed questionnaires about habitual physical activity, smoking, beverage consumption and sleep habits. Body mass index (BMI), heart rate and blood pressure were measured at rest and during submaximal exercise; frequency of ventricular premature beats (VPB) on an ECG rhythm strip; hand grip strength; and serum cholesterol. These characteristics were correlated with duration of treadmill exercise by the Bruce protocol. Univariate analysis indicated that treadmill performance was significantly and positively correlated with leisure-time physical activity and personal reports of sweating and/or dyspnea occurring regularly during such physical activity. Performance was negatively correlated with age, BMI, resting heart rate, cigarette smoking, and consumption of caffeine-containing beverages, but was insignificantly related to job physical activity, hand grip strength, alcohol consumption, sleep habits, blood pressure, cigar smoking, serum cholesterol, and the frequency of VPB. A 0.75 multiple correlation coefficient was found between treadmill performance and 11 of the above variables and the r is increased to 0.81 by adding heart rate during submaximal exercise. It is concluded that substantial prediction of work capacity and physical fitness of population is achieved by questionnaires and easily obtained, noninvasive physical measures.

摘要

从人群样本中招募了175名表面健康的中年男性,他们填写了关于日常体育活动、吸烟、饮料摄入和睡眠习惯的问卷。测量了静息状态和次极量运动时的体重指数(BMI)、心率和血压;心电图节律条上室性早搏(VPB)的频率;握力;以及血清胆固醇。通过布鲁斯方案将这些特征与跑步机运动的持续时间进行关联。单因素分析表明,跑步机运动表现与休闲时间的体育活动以及在此类体育活动中经常出现出汗和/或呼吸困难的个人报告显著正相关。运动表现与年龄、BMI、静息心率、吸烟以及含咖啡因饮料的摄入呈负相关,但与工作中的体力活动、握力、饮酒、睡眠习惯、血压、抽雪茄、血清胆固醇以及VPB频率的相关性不显著。在跑步机运动表现与上述11个变量之间发现了0.75的多重相关系数,通过加入次极量运动时的心率,r值增加到0.81。结论是,通过问卷和易于获得的非侵入性身体测量方法,可以对人群的工作能力和身体素质进行充分预测。

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