Sato Toshiro, Demura Shinichi, Murase Tomohiko, Kobayashi Yoshiki
Kasugai City Medical Center, 1-1-7 Chuodai, Aichi 487-0011, Japan.
J Physiol Anthropol. 2006 Sep;25(5):311-9. doi: 10.2114/jpa2.25.311.
This study determined the physical fitness component that contributes to improving and maintaining health status for each age group as well as quantifying the degree of the relationship between health status and physical fitness in middle-aged and elderly males. The participants were 995 males aged 30 to 69 years. Ten physical fitness tests and medical checkups were performed. The participants were divided into a healthy group and an unhealthy group according to health status. Multiple discriminant analysis was applied to the multivariate data. Correct discriminant probabilities of the multiple discriminant function to discriminate the healthy and unhealthy groups for males ranged from 67.0% to 75.1%. These findings suggest that there is a relatively high relationship between the health status and physical fitness level for middle-aged and elderly males. With each individual's discriminant score calculated using the multiple discriminant function as the index of the degree of health, the Pearson's correlation coefficient of the discriminant score and the performance in each physical fitness test were calculated. The age change between 30 and 69 years old was classified into five patterns according to the contribution. The result of this study is considered to be useful as objective data to prepare an exercise program considering the contribution of the physical fitness component of health status.
本研究确定了有助于各年龄组改善和维持健康状况的身体素质成分，并量化了中年和老年男性健康状况与身体素质之间的关系程度。参与者为995名年龄在30至69岁之间的男性。进行了十项身体素质测试和医学检查。根据健康状况将参与者分为健康组和不健康组。对多变量数据应用了多元判别分析。多元判别函数区分男性健康组和不健康组的正确判别概率在67.0%至75.1%之间。这些发现表明，中年和老年男性的健康状况与身体素质水平之间存在相对较高的关系。以使用多元判别函数计算的每个个体的判别分数作为健康程度的指标，计算判别分数与每项身体素质测试表现之间的皮尔逊相关系数。根据贡献将30至69岁之间的年龄变化分为五种模式。本研究结果被认为可作为客观数据，用于制定考虑健康状况身体素质成分贡献的运动计划。
