Sato T, Demura S, Murase T, Kobayashi Y
Kasugai City Medical Center, Kasugai, Aichi, Japan.
J Sports Med Phys Fitness. 2005 Dec;45(4):561-9.
The purpose of this study was to quantify the degree of the relationship between health status and physical fitness level in middle-aged and elderly people using multiple discriminant analysis.
The participants were 3114 males and females aged 30 to 69 years. Ten physical fitness tests and medical checkups were performed. The participants were divided into 2 groups according to health status; the healthy group and the unhealthy group. Multiple discriminant analysis was applied to the multivariate data.
Correct discriminant probabilities of multiple discriminant functions to discriminate the healthy group and unhealthy group were 72.3% for males and 71.7% for females. For all age groups, a gender difference was not found (P>0.05). For aging, as a result of the test of proportion, it was found that the correct discriminant probabilities decreased with age for both genders (P<0.05).
These results suggest that there is a relatively strong relationship between health status and the level of physical fitness in both males and females. These findings support daily physical activities and exercise to maintain or improve physical fitness could be useful for the health status of middle-aged and elderly people. From the result that the correct discriminant probability decreased with age, the changes in probability for males and females were calculated and described with correct discriminant probabilities by moving averages with 5 point smoothing.
本研究旨在运用多元判别分析量化中老年人健康状况与体能水平之间的关联程度。
研究对象为3114名年龄在30至69岁之间的男性和女性。进行了十项体能测试和医学检查。根据健康状况将参与者分为两组：健康组和不健康组。对多变量数据应用多元判别分析。
多元判别函数区分健康组和不健康组的正确判别概率男性为72.3%，女性为71.7%。在所有年龄组中，未发现性别差异（P>0.05）。对于衰老，通过比例检验发现，男女两性的正确判别概率均随年龄增长而降低（P<0.05）。
这些结果表明，男性和女性的健康状况与体能水平之间存在相对较强的关系。这些发现支持日常体育活动和锻炼以维持或改善体能对中老年人的健康状况可能有益。从正确判别概率随年龄降低的结果来看，计算了男性和女性概率的变化，并通过五点平滑移动平均法用正确判别概率进行了描述。
