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. 2022 Feb 4;22:234. doi: 10.1186/s12889-021-12456-3

Table 2.

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

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

Sig Significance, OR Odds ratio, LB Lower bound, UB Upper bound, CI Confidence interval