Table 3

Logistic regression predicting substance use problems

ConstantPsychiatric morbidityBurnout (emotional exhaustion)Job effortWork-life balanceCoping: self-blameCoping: substance useWork experience (years)Work place (hospital)*
Substance use in order to feel better
 B−2.2390.3040.1620.096−0.0830.092N/A0.0110.053
 SE0.8440.2580.1230.2370.1000.135N/A0.0100.231
 OR0.1071.3551.1751.1010.9211.097N/A1.0111.054
 P value0.0080.2390.1900.6850.4110.493N/A0.2780.819
 ModelX2(7)=10.96; p=0.140; R2=0.04
Substance use in order to get through something
 B−3.0340.4230.0850.202−0.179 0.318 N/A0.0020.005
 SE0.9630.2890.1420.2740.113 0.154 N/A0.0120.266
 OR0.0481.5271.0891.2240.836 1.374 N/A1.0021.005
 P value0.0020.1430.5510.4610.113 0.039 N/A0.8590.986
 ModelX2(7)=14.76; p=0.039; R2=0.059
Drinking alcohol two to three times a week or more often
 B−2.297 −0.739 0.203−0.3600.086−0.183 2.936 0.035 0.013
 SE1.001 0.316 0.1410.2560.1140.155 0.393 0.011 0.257
 OR0.101 0.478 1.2260.6981.0900.833 18.836 1.036 1.013
 P value0.022 0.019 0.1480.1600.4490.237 <0.001 0.002 0.960
 ModelX2(8)=123.03; p<0.001; R2=0.379
Drink more than three drinks typically
 B−2.593−0.222−0.0410.185−0.004−0.083 0.955 0.002 0.594
 SE0.9750.3140.1410.2810.1190.161 0.206 0.012 0.276
 OR0.0750.8010.7721.2030.9960.920 2.599 1.002 1.812
 P value0.0080.4800.9600.5110.9710.604 <0.001 0.885 0.031
 ModelX2(8)=29.10; p<0.001; R2=0.118
Drink six or more drinks on one occasion
 B−0.341−0.4810.038−0.4400.148−0.190 1.849 −0.030 0.514
 SE0.9420.3080.1350.2600.1130.151 0.267 0.011 0.255
 OR0.7110.6181.0390.6441.1590.827 6.355 0.970 1.672
 P value0.7170.1180.7770.0900.1910.209 <0.001 0.007 0.044
 ModelX2(8)=83.18; p<0.001; R2=0.279
Alcohol dependence
 B−3.171−0.0470.037−0.8550.162−0.091 1.819 −0.0410.095
 SE1.7810.5810.2860.6230.2690.350 0.359 0.0280.616
 OR0.0420.9551.0370.4251.1760.913 6.165 0.9601.100
 P value0.0750.9360.8980.1700.5480.795 <0.001 0.1530.877
 ModelX2(8)=34.648; p<0.001; R2=0.280
Drug use
 B−1.732−0.0840.0730.1920.0670.068 0.425 −0.011−0.047
 SE0.8300.2560.1200.2280.0990.133 0.186 0.0100.226
 OR0.1770.921.0761.2111.0691.070 1.530 0.9890.954
 P value0.0370.7440.5410.4000.5010.608 0.022 0.2870.835
 ModelX2(8)=13.935; p=0.083; R2=0.051
  • *1=hospital (n=239); 0=other (n=175).

  • N/A, scale is not included in the analysis because predictor is a part of it.

  • p<0.05 values are in bold.