Table 3. Logistic regression with modeled M. bovis infection as outcome variable and age, sex, breed and body condition as explanatory variables.
Explanatory variable | Univariate model | Multiple model* | |||||
Category | Subcategory | OR | 95% CI | p | OR | 95% CI | p |
Age | 1.15 | 1.05–1.26 | <0.01 | 1.14 | 1.02–1.29 | <0.05 | |
Sex | 1.59 | 0.96–2.64 | 0.07 | 1.11 | 0.61–2.01 | 0.74 | |
Breed | 1.28 | 0.79–2.06 | 0.31 | 1.54 | 0.94–2.54 | 0.09 | |
Body condition | |||||||
good | 1.00 | - | - | 1.00 | - | - | |
bad | 1.07 | 0.66–1.73 | 0.79 | 0.96 | 0.58–1.58 | 0.86 | |
very bad | 2.81 | 1.33–5.95 | <0.01 | 1.96 | 0.88–4.38 | 0.10 |
OR: odds ration; CI: confidence interval; p: p-value.
The multiple model was adjusted for age, sex, breed and body condition.