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. 2020 Feb 26;46(1):49–57. doi: 10.5125/jkaoms.2020.46.1.49

Table 5. Logistic regression of broad-spectrum antibiotic prescription after tooth extraction.

Division B SE β OR CI P-value
Intercept 0.034 0.020 0.083
Sex (male=1)
 Female −0.017 0.006 −0.005 0.983 0.971-0.995 0.007
Age (yr) (19-30 yr=1)
 31-40 0.065 0.012 0.012 1.067 1.042-1.093 <0.001
 41-50 0.091 0.012 0.019 1.095 1.070-1.120 <0.001
 51-60 0.121 0.011 0.028 1.129 1.104-1.154 <0.001
 61-70 0.141 0.012 0.028 1.152 1.125-1.180 <0.001
 ≥71 0.110 0.013 0.021 1.116 1.088-1.145 <0.001
Household income (low=1)
 Medium-low −0.022 0.011 −0.004 0.979 0.958-1.000 0.054
 Medium −0.018 0.011 −0.004 0.982 0.961-1.002 0.084
 Medium-high −0.033 0.010 −0.008 0.968 0.948-0.987 0.001
 High −0.030 0.010 −0.007 0.971 0.952-0.990 0.003
Type of dental institution (dental hospital=1)
 Dental clinic −0.525 0.011 −0.085 0.592 0.579-0.605 <0.001
Region of dental institution (urban=1)
 Rural 0.100 0.011 0.016 1.105 1.082-1.128 <0.001
Year of prescription (2011=1)
 2012 −0.036 0.010 −0.008 0.964 0.945-0.984 <0.001
 2013 0.044 0.010 0.010 1.045 1.025-1.066 <0.001
 2014 0.221 0.010 0.049 1.247 1.223-1.272 <0.001
 2015 0.351 0.010 0.079 1.420 1.393-1.448 <0.001
Type of tooth extraction (incisor extraction=1)
 Molar extraction 0.027 0.010 0.007 1.027 1.007-1.048 0.009
 Complicated extraction1 0.181 0.014 0.030 1.198 1.167-1.231 <0.001
 Simply impacted tooth 0.207 0.021 0.021 1.230 1.181-1.280 <0.001
 Complexly impacted tooth2 0.315 0.020 0.034 1.370 1.318-1.425 <0.001
 Completely impacted tooth3 0.509 0.019 0.063 1.664 1.604-1.725 <0.001

(B: unstandardized beta, SE: standardized error, β: standardized beta, OR: odds ratio, CI: confidence interval)

1Cases where simple extraction was not possible due to root hypertrophy, root dilacerations, or osseointegration.

2Cases involving tooth splitting.

3Simultaneous tooth splitting and ostectomy of impacted tooth with ≥2/3 of crown impacted into alveolar bone.

P-value calculated by logistic regression analysis.

Variables removed on the model: diabetes mellitus and hypertension.