Scientific analysis of behavior for improvement of hipokinetic disease

对改善运动疾病的行为进行科学分析

基本信息

批准号：
08670430
负责人：
KATO Toshiaki
金额：
$ 1.6万
依托单位：
Tottori University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1996
资助国家：
日本
起止时间：
1996 至 1998
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-08670430/
关键词：
hipokinetic disease lifestyle related disease riskfactors in arteriosclerosis activities of daily living health related fitness physical activities multivariate statical analysis multiple regression equation リスクファクター血液性状予備体力身体組成 /

项目摘要

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).

为了调查中年和老年人的hipokinetic疾病的阶乘结构，将多元统计分析应用于36个生理和人体测量变量的数据，涉及动脉粥样硬化的多个风险因素与日常生活和与健康相关的适应性的活动之间的关系。受试者是778人（193名男性和585名女性），年龄50至90岁，居住在托托里（Tottori）和yogo县，并通过一系列通过身体检查，身体组成的身体状况进行检查。日常生活的活动； ADL以及每天的步行步骤，身体健康和面试有关生活方式，心理状况和痴呆症的问题。将因子分析应用于由36个变量组成的相关矩阵。 11种提取因素被解释为身体健康，性肝，体内脂肪，生活方式，总胆固醇，慢性疾病，血脂，VO2MAX，每天步行步骤，骨骼力量和痴呆症。多元回归分析应用于提取的因素。估计风险捕获器数量（Y）的开发方程式为y = 2.60 +.0155x1-.000154x2 -.112x3 +.00709x4 -.0586x5 +.0154x6 +.0154x6 +.0265x7-.0265x7-.0106x8（x1; x1; t-cho，x2; Tg，X5，x6； x7; LIFSTYLE估计，每天的步行步骤，X6；每个方程的有效性为R2 =。 530（男性）和R2 = .544（女性）。