Table 4

Multivariate regression analysis to examine job type, age, and smoking as a predictors of lung function

CovariatesDependent variables
VCFVCFEV1
βSEp ValueβSEp ValueβSEp Value
Intercept3.5520.2350.0003.7950.2620.0003.4650.2560.000
Job type0.2800.0840.0000.2730.0940.004−0.1070.0910.245
Age−0.0140.0060.026−0.0190.0070.007−0.0220.0070.002
Pack-years0.4750.4600.3030.1200.5110.8140.3590.5000.473
Intercept3.8120.1920.0003.9320.2100.0003.6430.2020.000
Job type0.3000.0870.0010.2960.0950.002−0.0960.0910.294
Age−0.0230.0050.000−0.0250.0060.000−0.0270.0060.000
PEF FEV1/FVC FEV1/VC
Intercept437.557.720.00093.456.0060.00099.8436.4080.000
Job type−137.820.640.000−11.432.1490.000−11.2032.2930.000
Age−0.3371.550.828−0.1590.1610.324−0.3010.1720.081
Pack-years146.6112.80.1957.27511.7350.536−1.90412.520.879
Intercept493.1845.530.00095.514.6900.00098.5225.0210.000
Job type−137.820.580.000−11.612.1180.000−11.352.2720.000
Age−1.9301.2590.127−0.2020.1300.121−0.2500.1390.073
  • Job type: 1=iron foundry; 0=bottling plant.