Establishment And Verification Of Regression Model Between Target Heart Rate And Walking Speed Of Aerobic Exercise In Community Rehabilitation Of Coronary Heart Disease

Objectives:Walking is the most common form of exercise for middle-aged and elderly people,and it is also an important method for Chinese coronary heart disease(CHD)patients to perform Cardiac Rehabilitation(CR)in the community.This study took CHD patients aged 40-85 years as the research object.On the basis of understanding the cardiopulmonary function of the 40-85-year-old population,a multiple linear regression model of target heart rate and target walking speed was established and verified.walking test,6MWT)and simple body morphological and functional indicators as the feasibility of evaluating and guiding exercise rehabilitation for people aged 40-85,providing a theoretical basis for the formulation of CR programs for CHD patients in community health service centers;promoting convenient,economical,safe,Effective community sports rehabilitation services.Methods:In this study,middle-aged and elderly people aged 40-85 years were recruited from the hospital.Risk stratification was established through personal medical history and medical health examination.65 CHD subjects were screened and randomly divided into 50 regression model group and 15 back-substitution test group.All signed the informed consent form,and then were tested for morphological and functional indicators,including age,gender,resting heart rate,height,weight,triceps skinfold thickness,subscapular skinfold thickness,vital capacity,forced expiratory volume in one second,etc.,and then,perform Cardiopulmonary exercise testing(CPET),and perform an incremental maximal load test according to the protocol(increase 10-20 watts per minute)to measure heart rate during AT,metabolic equivalent during AT,and treadmill power during AT,etc.After72 hours of recovery,6MWT was performed again.The main measurement indicators were maximum heart rate during 6-minute walking,6-minute walk distance(6MWD),and blood pressure before and after 6MWT.The target heart rate is the heart rate at the time of AT,and the target walking speed is converted into the target walking speed according to the CPET index and the Metabolic Equivalent Calculation 2007 Revised Edition.Using SPSS 26.0 statistical software,target heart rate and target walking speed were used as dependent variables,and indicators such as gender,age,BMI,blood pressure before and after a 6-minute walk,heart rate,walking speed,body fat percentage,vital capacity,and forced expiratory volume in one second were used as independent variables.The corresponding regression model is established by the stepwise regression method,and the validity of the regression model,the goodness of fit and the prediction effect of the regression model are tested.Result:(1)Regression model: target heart rate(HR)=79.949+0.676*(body fat percentage)+0.18*(6-minute walking maximum heart rate)+(-0.171)*(systolic blood pressure at rest)The overall model of target heart rate was significant(F=8.844,P<0.01);there was a significant correlation between regression coefficient Xi and target heart rate(body fatpercentage(P<0.01),6-minute walking maximum heart rate(P<0.05),systolic blood pressure at rest(P<0.01));target heart rate regression model 32.4% could be explained by changes in body fat percentage,6-minute walk maximum heart rate,and systolic blood pressure at rest(R=0.605,adjusted R2=0.324);target The residuals of the heart rate regression model were independent(D=1.451),and the residuals obeyed the normal distribution and were more evenly and densely distributed around the straight line.The regression model had equal variance;there was no multicollinearity(VIF(body fat percentage)=1.002,VIF(maximum heart rate of 6-minute walking)=1.100,VIF(systolic blood pressure at rest)=1.098);in the back-substitution test,there was no significant difference between the predicted value and the measured value(P>0.05),the predicted value and the measured value There was no significant correlation between them(P>0.05).(2)Regression model: target walking speed(V)=1.392+0.568 *(vital capacity)+ 0.283*(average speed of walking in 6 minutes)The regression model of the target walking speed was significant(F=17.498,P<0.01);there was a significant correlation between the regression coefficient Mi and the target walking speed(spinal capacity(P<0.01),6-minute average walking speed(P<0.05));40.2% of the regression model of target walking speed can be explained by the change of vital capacity and 6-minute average walking speed(R=0.653,adjusted R2=0.402),the residual of the regression model of target walking speed is independent(D=1.796),the residual It obeys the normal distribution and is more evenly and densely distributed around the straight line.The regression model has homogeneous variance and no multicollinearity(VIF(Vital Capacity)= 1.257,VIF(6-minute average walking speed)=1.257);in the back-substitution test,There was no significant difference between the predicted value and the measured value(P>0.05),and there was no significant correlation between the predicted value and the measured value(P>0.05).Conclusion:(1)The regression model of the target heart rate of CHD patients aged 40-85 years old is estimated from the percentage of body fat,the maximum heart rate of 6-minute walking,and the systolic blood pressure at rest.However,the goodness of fit and prediction effect are general,and there is a certain practicality in formulating exercise prescriptions.(2)The target walking speed of CHD patients aged 40-85 years old was estimated by the vital capacity and the average walking speed in 6 minutes.The goodness of fit was good,but the prediction effect was general,and it has certain practical application value in formulating exercise prescriptions.