Table 3

Factors associated with physicians’ (n = 220) higher knowledge scores controlling for background characteristics as shown by Linear Regression Models
Model Unstandardized coefficients Standardized coefficients t p-value
B Std. error Beta
Total knowledge score
Gender −1.360 0.846 −0.138 −1.608 0.110
Age 0.525 0.669 0.059 0.784 0.434
Working profile 2.522 0.808 0.266 3.120 0.002
Working region −0.468 0.687 −0.049 −0.682 0.496
Medical knowledge score
Gender −0.399 0.507 −0.068 −0.787 0.432
Age −0.220 0.400 −0.042 −0.550 0.583
Working profile 1.318 0.484 0.234 2.722 0.007
Working region −0.257 0.409 −0.046 −0.629 0.530
Pediatric knowledge score
Gender −0.655 0.330 −0.173 −1.986 0.048
Age 0.206 0.260 0.060 0.792 0.429
Working profile 0.501 0.315 0.138 1.592 0.113
Working region −0.068 0.266 −0.019 −0.255 0.799
Dental knowledge score
Gender −0.311 0.317 −0.084 −0.979 0.329
Age 0.522 0.251 0.156 2.082 0.039
Working profile 0.700 0.303 0.196 2.311 0.022
Working region −0.169 0.257 −0.047 −0.655 0.513

All variables were used in their continuous form except for gender, Working profile and working region.

Gender: 1 =female, 2=male.

Working profile: 0= only public sectors, 1= public and private sectors.

Working region: 1= affluent region, 2= non-affluent region.

t: T-test.

0.1<R square< 0.2.

Rabiei et al.

Rabiei et al. BMC Public Health 2012 12:855   doi:10.1186/1471-2458-12-855

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