Marti B, Abelin T, Minder C E
Department for Social and Preventine Medicine, University of Berne, Switzerland.
Int J Sports Med. 1988 Apr;9(2):85-91. doi: 10.1055/s-2007-1024984.
To investigate running activity, life-style, and endurance capacity of joggers, all competitors of a popular 16-km race were surveyed by questionnaire. The response rate was 83.6%, yielding a study population of 4358 male runners over age 16. In univariate analysis, there were significant associations between 16-km running time and weekly training distance (average of 1 year), weekly training frequency, body mass index (BMI), age, cigarette smoking, years of regular running, and frequency of alcohol cosumption. A multiple regression analysis provided six significant, independent predictors of 16-km time, explaining 47% of its variance: weekly training distance (standardized regression coefficient = -0.46), age (0.37), BMI (0.23), years of regular running (-0.19), weekly training frequency (-0.11), and cigarette smoking (0.10). Based on laboratory treadmill testing of a subsample of runners, 16-km running times were transformed into maximum aerobic capacities (VO2 max equivalents) for all competitors. In comparison with the general population, even the slowest 5% of the runners showed a higher endurance capacity than the age-specific population mean. Application of the multivariate regression model for an estimation of the overall impact of training and life-style on endurance capacity showed that the great difference in mean endurance levels between joggers and the general population could entirely be attributed to differences in running activity, BMI, and smoking. We conclude that the joggers investigated were, on average, not selected concerning biological predisposition and genetic endowment since their behavior alone explained their high average endurance capacity.
为了调查慢跑者的跑步活动、生活方式和耐力,通过问卷调查了一场广受欢迎的16公里赛跑的所有参赛者。回复率为83.6%,产生了一个由4358名16岁以上男性跑步者组成的研究群体。在单变量分析中,16公里跑步时间与每周训练距离(1年的平均值)、每周训练频率、体重指数(BMI)、年龄、吸烟、定期跑步年限以及饮酒频率之间存在显著关联。多元回归分析提供了16公里跑步时间的六个显著、独立预测因素,解释了其47%的方差:每周训练距离(标准化回归系数=-0.46)、年龄(0.37)、BMI(0.23)、定期跑步年限(-0.19)、每周训练频率(-0.11)和吸烟(0.10)。基于对一部分跑步者的实验室跑步机测试,将所有参赛者的16公里跑步时间转换为最大有氧能力(VO2 max当量)。与一般人群相比,即使是跑得最慢的5%的跑步者也显示出比特定年龄人群平均水平更高的耐力。应用多元回归模型估计训练和生活方式对耐力的总体影响表明,慢跑者和一般人群之间平均耐力水平的巨大差异完全可归因于跑步活动、BMI和吸烟的差异。我们得出结论,所调查的慢跑者平均而言在生物易感性和遗传天赋方面并非被挑选出来的,因为仅他们的行为就解释了他们较高的平均耐力水平。