Disclosure of Invention
In order to solve the defects of the prior art, the present disclosure provides a cardiopulmonary endurance test method based on incremental load retracing movement and oxygen uptake, which predicts the maximum oxygen uptake of an individual with chronic obstructive pulmonary disease through the incremental load retracing movement, and predicts the cardiopulmonary endurance level through the height, the weight and the total retracing distance of the individual with chronic obstructive pulmonary disease under the condition that various test instruments are insufficient. The implementation rate of the cardiopulmonary endurance test of chronic obstructive pulmonary disease patients is improved, reference is provided for prognosis and treatment effect evaluation of the patients, and a foundation is laid for national fitness and personal lifelong sports.
The present disclosure provides a cardiopulmonary endurance test method based on incremental load reentry walking motion and oxygen uptake;
a cardiopulmonary endurance test method based on incremental load reentry walking motion and oxygen uptake comprises the following steps:
step (1): measuring height and weight of a number of subjects; each subject performs the back-turning walking motion with increasing load, and the total walking distance of each subject is counted; measuring a maximum oxygen uptake for each subject;
step (2): establishing a multiple regression equation by using the total walking distance, the height, the weight and the maximum oxygen uptake of each subject;
and (3): solving the regression coefficient of the multiple regression equation by using a least square method to obtain an evaluation model;
and (4): acquiring the height and the weight of a new subject and the total walking distance when the back-turning walking motion is finished; inputting the obtained height and weight of the new subject and the total walking distance at the end of the back-turning walking motion into an evaluation model; the output maximum oxygen uptake is used as an index of the cardiopulmonary endurance test.
Further, the measuring the height and the weight of the plurality of subjects is to obtain the height and the weight of the subjects by using a weighing machine.
Further, each subject performs a reentry walking motion with increasing load: the subject walks on a section of road with the length of s, the time limit of each grade of the incremental load is set as T, the first grade walks for n single passes, and the number of walking single passes of the (i + 1) th grade is increased by m single passes on the number of single passes of the (i) th grade.
Further, the total walking distance of each subject is counted as:
wherein, N is the number of the completed grades, t is the time used by the last unfinished grade, and the unit is second.
Further, the maximum oxygen uptake corresponding to each subject is measured by a power bicycle or a treadmill.
Further, the concrete steps of establishing the multiple regression equation by using the total walking distance, the height, the weight and the maximum oxygen uptake amount of the subject are as follows:
y=B0+B1X1+B2X2+B3X3
wherein, X1Is height and X2Is body weight, X3For total distance traveled, B0Is a constant term, B1、B2、B3Is a regression coefficient; y is the maximum oxygen uptake.
Further, the least square method is used for solving the regression coefficient of the multiple regression equation, and the parameters are obtained by solving the equation set through the least square method and the Gaussian elimination method: b is1、B2、B3And B0。
Furthermore, the subjects in the step (1) are patients with chronic obstructive pulmonary diseases, all the subjects meet the diagnosis standard of chronic obstructive pulmonary disease diagnosis and treatment guidance set forth by respiratory disease society of the Chinese medical society in 2007, and the patients have no symptoms of pulmonary infection within about 2 weeks, do not need oxygen inhalation treatment, and simultaneously exclude diseases of the nerve system and the muscle system.
Compared with the prior art, the beneficial effect of this disclosure is:
the heart and lung endurance level of an individual with obstructive pulmonary disease is predicted by the height, the weight and the total distance of the turn-back walking of the individual without expensive exercise testing instruments and physiological and biochemical index testing instruments under the condition of small limitation of the field size. The implementation rate of the cardiopulmonary endurance test of patients with chronic obstructive pulmonary diseases is improved, and reference is provided for prognosis and treatment effect of the patients.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
As shown in fig. 1, a cardiopulmonary endurance test method based on incremental load reentry walking exercise and oxygen uptake, comprising:
s101: measuring height and weight of a number of subjects;
s102: each subject performed a reentry walking motion with increasing load: the subject walks on a section of road with the length of s, the time limit of each grade of the incremental load is set as T, the first grade walks for n single passes, and the number of walking single passes of the (i + 1) th grade is increased by m single passes on the number of single passes of the (i) th grade;
s103: measuring a maximum oxygen uptake for each subject;
s104: establishing a multiple regression equation by using the total walking distance, the height, the weight and the maximum oxygen uptake of each subject;
s105: solving the regression coefficient of the multiple regression equation by using a least square method to obtain an evaluation model;
s106: acquiring the height and the weight of a new subject and the total walking distance when the back-turning walking motion is finished; inputting the obtained height and weight of the new subject and the total walking distance at the end of the back-turning walking motion into an evaluation model; the output maximum oxygen uptake is used as an index of the cardiopulmonary endurance test.
Further, in the step S101, a weight scale is used to obtain the height and the weight of the subject; all subjects meet the diagnosis standard of chronic obstructive pulmonary disease diagnosis and treatment guideline set by respiratory disease society of Chinese medical society in 2007, and the patients have no pulmonary infection symptom within nearly 2 weeks, do not need oxygen inhalation treatment, and exclude diseases of the nerve and muscle system.
Further, the step S102 performs a back-and-forth walking motion with an increasing load:
(1) as shown in FIG. 2, a section of a flat road surface with a length of 20m is selected, and two parallel line segments with a length of 20m are drawn at a distance of 1 m. Every 0.5m is marked with one transverse line, 21 transverse lines are marked totally, and two parallel line segments are divided into 20 squares. The back-turning walking movement of the incremental load is carried out according to the preset signal sound, the signal sound is carried out once, the testee takes one step, and the step length of each step cannot be smaller than the length of the square. The time of each grade of the load adopted by the invention is 1min, the number of the first grade of the load returning and single-pass walking is 2 times, and each grade is increased by 1 single-pass. For example, the number of single return and walking times of the first five grades of the invention is respectively 2, 3, 4, 5 and 6, the frequency of the signal sound is increased by grades, and the sound frequency of each grade is the same as the number of squares required to walk by the grade.
(2) The specific standard is as follows:
starting signal: the starting signal is a triple sound electronic sound "
Folding back signals: the return signal is also triple sound electronic sound beep "
Thirdly, the walking signal is a single sound electronic sound "
If the testee reaches the end line before the return signal is sounded, the testee needs to wait in situ, and then continues to move after the return signal is sounded
(3) Stopping standard:
firstly, a subject has difficulty in breathing and cannot walk continuously according to the rhythm of signal sound;
secondly, after turning back the signal sound, the distance between the testee and the end line in front of the body exceeds 1 meter (two squares);
thirdly, the body strength is not supported and the continuous movement cannot be continued through repeated encouragement;
fourthly, symptoms such as dyspnea, nausea, dizziness, tinnitus, chest pain, extreme fatigue and the like appear;
when any one of the termination standards appears, the movement is immediately stopped;
further, the total walking distance calculation formula is as follows:
wherein, N is the number of the completed grades, t is the time used by the last unfinished grade, and the unit is second.
S103: measuring the maximum oxygen uptake corresponding to the end of the back-turning walking motion of the testee;
the subject wears a heart and lung function telemeter and measures the maximum oxygen uptake amount through a power bicycle.
Further, the concrete steps of establishing the multiple regression equation by using the total walking distance, the height, the weight and the maximum oxygen uptake amount of the subject are as follows:
y=B0+B1X1+B2X2+B3X3
wherein, X1Is height and X2Is body weight, X3For total distance traveled, B0Is a constant term, B1、B2、B3Is a regression coefficient; y is the maximum oxygen uptake.
Further, the least square method is used for solving the regression coefficient of the multiple regression equation, and the parameters are obtained by solving the equation set through the least square method and the Gaussian elimination method: b is1、B2、B3And B0Obtaining the whole equation of y ═ B0+B1X1+B2X2+B3X3. Can be adjusted according to height and bodyThe individual maximum oxygen intake of the obstructive pulmonary disease patient is predicted by the total distance of the reentry and reentry.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.