Sato Toshiro, Demura Shinichi, Murase Tomohiko, Kobayashi Yoshiki
Kasugai City Medical Center, 1-1-7 Chuodai, Kasugai, Aichi 487-0011, Japan.
J Physiol Anthropol. 2007 Nov;26(6):569-77. doi: 10.2114/jpa2.26.569.
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 females. The participants were 2,371 females 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 females ranged from 63.0% to 77.5%. These results suggest that there is a relatively high relationship between health status and physical fitness level for middle-aged and elderly females. With each individual's discriminant score calculated by the obtained 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 aging change from 30 to 69 years old was classified into four 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，并量化了中年及老年女性健康状况与身体素质之间的关系程度。参与者为2371名年龄在30至69岁之间的女性。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重判别分析。多重判别函数区分女性健康组和不健康组的正确判别概率在63.0%至77.5%之间。这些结果表明，中年及老年女性的健康状况与身体素质水平之间存在相对较高的关系。以通过获得的多重判别函数计算出的每个人的判别分数作为健康程度指标，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岁的衰老变化分为四种模式。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。
