Table 5.
Results of the univariable logistic regression (model 1) and linear regression (model 2) of the variables associated with the high Pet Attitude Scale (PAS).
| Variables | High PASan = 339 (%) | Low PASan = 315 (%) | Total n = 654 | Model 1 | Model 2 | ||||
|---|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | P-value | B | 95% CI | P-value | ||||
| BCS | |||||||||
| Overweight (6–9) | 55 (61.11) | 35 (38.89) | 90 | 2.91 | 1.67–5.06 | <0.001 | 8.16 | 4.50–11.82 | <0.001 |
| Normal (4–5) | 237 (55.12) | 193 (44.88) | 430 | 2.27 | 1.52–3.40 | <0.001 | 6.91 | 4.26–9.59 | <0.001 |
| Underweight (1–3) | 47 (35.07) | 87 (64.93) | 134 | – | <0.001 | – | |||
| Pet's medical history over a year | |||||||||
| Disease | 235 (58.31) | 168 (41.69) | 403 | 2.47 | 1.73–3.53 | <0.001 | 6.62 | 4.26–8.99 | <0.001 |
| Vaccination | 36 (57.14) | 27 (42.86) | 63 | 2.35 | 1.32–4.21 | <0.001 | 7.33 | 3.43–11.23 | <0.001 |
| None | 68 (36.17) | 120 (63.83) | 188 | – | <0.001 | – | |||
| Spending more time with dog | Mean: 4.23 h | SD: 3.98 h | 654 | 1.24 | 1.17–1.31 | <0.001 | 1.43 | 1.18–1.68 | <0.001 |
| Frequently visiting a veterinarian | Mean: 4.47 times | SD: 5.42 times | 654 | 1.13 | 1.08–1.18 | <0.001 | 0.72 | 0.53–0.91 | <0.001 |
| Exercise time with dog | Mean: 63.8 min | SD: 44.13 min | 654 | 0.99 | 0.98–0.99 | 0.001 | −0.05 | −0.08 to −0.02 | 0.001 |
| Size | |||||||||
| Small (≤10 kg) | 297 (53.90) | 254 (46.10) | 551 | 1.70 | 1.11–2.60 | 0.002 | 3.13 | 0.19–6.06 | 0.037 |
| Large (>10 kg) | 42 (40.78) | 61 (59.22) | 103 | – | – | ||||
| Keeping other species in the house | |||||||||
| No | 264 (55.46) | 212 (44.54) | 476 | 1.71 | 1.21–2.42 | 0.003 | 4.75 | 2.37–7.13 | <0.001 |
| Yes | 75 (42.13) | 103 (57.87) | 178 | – | – | ||||
| Buying the dog | |||||||||
| No | 204 (55.43) | 164 (44.57) | 368 | 1.39 | 1.02–1.97 | 0.037 | 2.78 | 0.62–4.93 | 0.012 |
| Yes | 135 (47.20) | 151 (52.80) | 286 | – | – | ||||
a
The mean value of 90 was used as the criterion for classifying PAS scores into high or low groups.
Model 1 is the result of a univariable logistic regression in the high-PAS group where the dependent variable was considered as a categorized variable based on the mean value of 90. Model 2 is the result of a simple linear regression in the high-PAS group where the dependent variable was considered as a continuous variable.
OR, odds ratios; B, unstandardized beta; CI, confidence interval.