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Table 2 Results of the univariate and multivariate logistic regression model, that assess the difference in tick associated risk of multiple variables

From: Tick bites in different professions and regions: pooled cross-sectional study in the focus area Bavaria, Germany

Variables   Univariate Regression Multivariate Regression
   95% CI    95% CI
Sig. OR LB UB Sig. OR LB UB
Region
Reference Urban Areas         
Environs <0.001 2.192 1.736 2.768 <0.001 1.979 1.538 2.547
Rural Areas <0.001 2.195 1.710 2.818 <0.001 1.965 1.492 2.589
Age
Reference 18–34 years         
35–44 years 0.254 0.854 0.651 1.120
45–54 years 0.632 1.057 0.843 1.326
55–64 years 0.833 0.977 0.784 1.216
≥65 years 0.645 1.059 0.830 1.350
Gender
Reference Female 0.907 0.991 0.857 1.147
Male         
Profession
Reference Farmer <0.001 1.371 1.173 1.604 0.037 1.219 1.012 1.468
Forestry worker 0.016 2.729 1.205 6.179 0.030 2.495 1.095 5.682
Horticulturist 0.119 0.770 0.554 1.070 0.497 0.887 0.626 1.255
Other Outdoor worker 0.940 1.019 0.628 1.652 0.737 0.919 0.559 1.510
Indoor worker         
Time spent outside
Summer
Reference <1 h         
1-3 h <0.001 1.959 1.458 2.632 <0.001 1.929 1.429 2.603
>3-6 h <0.001 1.889 1.420 2.512 0.002 1.595 1.184 2.147
>6 h <0.001 1.896 1.428 2.517 0.006 1.552 1.137 2.119
Winter
  <1 h         
1-3 h 0.343 1.108 0.896 1.370
>3-6 h 0.155 1.187 0.938 1.502
>6 h 0.253 1.166 0.896 1.519
  1. Sig Significance, OR Odds ratio, LB Lower bound, UB Upper bound, CI Confidence interval