| Lung function tests provide main proofs to identify working ability of occupational disease sufferers,and can objectively evaluate the functional lung lesion of the workers access to powder dust. The formula of predictive values will have to be established because relative number has been adopted as the classifications of lung functional compensation parameters. Apart from age, stature and heaviness, the factors influencing predictive values of pulmonary function included many factors, such as region, environment, race difference. There exits significant difference among different regions and populations. Hence, predictive values most accessing to those of population should be selected as normal predictive values. Most places are still using foreign predictive values of pulmonary function (PF) because we do not have unified ones in our country. No reports have been found about predictive values of local workers'PF in Changchun, Jilin Province ,and even in the whole Northeast China. The present study aimed to provide scientific basis for the diagnosis of occupational disease, working ability identification of occupational diseases, the ratings of the disabled of occupational disease and environmental protections by conducting five PF tests in 1115 healthy workers in Changchun, based on predictive values of PF. The objectives in this study came from 10 medium-sized enterprises with mezzo and lower labor intensity as well as random samples of the discrete workers in miniature enterprises. The objectives aged 20-60 were divided into 4 age groups. Within each group more than 100 male workers and 100 female workers were included. The objectives had no access to powder dust and acrid poisons without much smoking and chronic heart and lung diseases. They did not cough at least in one month with normal blood pressure, normal results of heart and lung examination including cardiogram, x-ray of chest. The professionals adopted pulmonary function instrument ( FUV-9000) to test the pulmonary functions of the objectives with erect position. Five parameters were tested including VC,FVC,FEV1,MVV etc. Each parameter was tested 3 times and the maximum was selected. The test time lasted from 9:00 to 11:30 a.m. and 13:00 to 16:00p.m. The data was put into the database and processed and analyzed by SPSS. The means of the five pulmonary functions of age, heights, and weight in male and female were calculated respectively to identify the coefficient of correlation among age, height, weight and functional lung parameters. Age X1, height X2, weight X3 were treated as independent variables, the pulmonary values were treated as dependent variables Y, and the multiple regression equations of five predictive values of pulmonary function in male and female were established by multiple linear regression analysis. The regression equations of predictive values of male pulmonary function were as follows: VC(L) Y= -2.505-0.0204X1+0.04237X2+0.003627X3 FVC(L) Y= -3.669-0.007108X1+0.04418X2+0.000378X3 FEV1 (L) Y= -0.839-0.0160X1+0.0234X2+0.0005514X3 MVV(L) Y= -28.082-0.560X1+0.808X2+0.02288X3 FEV1/FVC(%) Y= 48.745-0.606X1+0.297X2-0.01672X3And the female ones were as follows: VC(L) Y= -3.46-0.02142X1+0.04340X2+0.00004503X3 FVC(L) Y= -1.756-0.01422X1+0.03479X2-0.00287X3 FEV1 (L) Y= -0.707-0.0152X1+0.02050X2+0.002456X3 MVV(L) Y= -25.065-0.543X1+0.722X2+0.08514X3 FEV1/FVC(%) Y= 87.038-0.852X1+0.264X2-0.162 X3 Comparing with the two kinds of predictive values, Five parameters are significantly lower than fixed ones in the instrument. The percentage which measure parameters accounted for predictive values is higher than that fixed in the instrument. |
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