Scientific analysis of behavior for improvement of hipokinetic disease

为探讨中老年人群中动脉粥样硬化多危险因素与日常生活活动和健康相关体能的关系，对36个生理和人体测量变量数据进行多元统计分析，探讨中老年人群中动脉粥样硬化多危险因素的因子结构。研究对象为778人（193名男性和585名女性），年龄在50岁至90岁之间，居住在鸟取县和兵库县，通过医学检查对他们的身体状况、身体成分进行了一系列检查。日常生活活动；ADL，每天步行步数，身体健康和生活方式，心理状况和痴呆症的访谈问题。对36个变量组成的相关矩阵进行因子分析。提取的11个因素被解释为身体健康、低肝、体脂、生活方式、总胆固醇、慢性疾病、血脂、最大摄氧量、每天步行步数、骨强度和痴呆。对提取的因子进行多元回归分析。发展方程的估计数量的因素(Y)是Y = 2.60 + .0155X1 -.000154X2 -.112X3 + .00709X4 -.0586X5 + .0154X6 + .0265X7 -.0106X8 (X1, T-cho X2;每天行走的步数,X3;生活方式的估值,X4, TG, X5; VO2max, X6;, X7; %脂肪的混合体,腿部力量)对男性和Y = 0.90.0187X1.00628X2 -.0981X3 -.0000789X4 + .254X5 -.0827X6 -.0147X7 -.0309X8 (X1, T-cho X2, TG, X3; lifstyle估值,X4,每天行走的步数,X5;慢性lllness X6;腿部动力，X7；%脂肪，X8；VO2max)。每个方程的有效性为R2=。530（男性），R2=.544（女性）。

In order to investigate factorial structures of hipokinetic disease In the middle age and elderly, multivariate statistical analysis was applied to the data of 36 physiological and anthropometric variables about the relationship between multiple riskfactors of arteriosclerosis and activities of daily living and health related fitness. Subjects were 778 persons (193 males and 585 females), aged 50 to 90 years, living in Tottori and Hyogo prefectures, and were examined with a series of tests consisting of physical condition by medical examination, body composition. activities of daily living ; ADL and number of walking steps per day, physical fitness and Interview questions on lifestyle, psychological condition and dementia. Factor analysis was applied to the correlation matrix consisting of 36 variables. Eleven extracted factors were Interpreted as physical fitness, hypohepatia, body fat, lifestyle, total cholesterol, chronic illness, blood lipid, VO2max, walking steps per day, bone strength and dementia. Multiple regression analysis was applied to the extracted factors. The developed equation for the estimation of the number of riskfactors(Y) was Y =2.60+.0155X1-.000154X2 -.112X3 +.00709X4 -.0586X5 +.0154X6 +.0265X7-.0106X8 (X1 ; T-cho, X2 ; number of walking steps per day, X3 ; lifestyle valuation, X4 ; TG, X5 ; VO2max, X6 ; GOT, X7 ; %Fat, X8 ; leg power) for males and Y= 0.90.0187X1.00628X2-.0981X3 -.0000789X4+ .254X5 -.0827X6 -.0147X7 -.0309X8 (X1 ; T-cho, X2 ; TG, X3 ; lifstyle valuation, X4 ; number of walking steps per day, X5 ; chronic lllness, X6 ; leg power, X7 ; %Fat, X8 ; VO2max) for females. Each equation had effectiveness as R2=. 530(males) and R2=.544(females).