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. 2018 Apr 21;32(3):1259–1267. doi: 10.1111/jvim.15143

Table 3.

Univariable and multivariable logistic regression analyses of factors potentially associated with the presence of respiratory disease in cats

Univariable analysis Multivariable analysis
Variable Crude OR 95% CI P Adjusted OR 95% CI P
Age (years) 1.13 0.99‐1.30 .076 1.09 0.94‐1.26 .24
Body weight (kg) 1.25 0.80‐1.96 .32 NA NA NA
9‐point body condition score 1.29 0.80‐2.09 .30 NA NA NA
Second‐hand smoke (%) 2.71 0.56‐13.12 .21 NA NA NA
Incense burning (%) 4.48 0.55‐36.78 .16 NA NA NA
Cooking behavior/fume (%) 2.11 0.71‐6.28 .18 NA NA NA
Household chemicals (%) 0.25 0.03‐1.89 .18 NA NA NA
Average PM2.5 (μg/m3) 1.04 1.00–1.09 .080 NA NA NA
Environmental temperature (°C) 0.84 0.70‐1.00 .051 0.79 0.640.97 .023
Environmental humidity (%) 1.03 0.97‐1.10 .36 NA NA NA
Unacceptable PM2.5 level (%) 3.51 1.1011.15 .033 4.13 1.1215.27 .033

Bolded values indicating 2‐tailed P < .05.

Abbreviation: NA, not applicable (not included in multivariable model).