Table 4.
Results of binary logistic regression model assessing factors associated with having acquired a dog and/or cat during the pandemic.
| Predictors | Model | ||
|---|---|---|---|
| Odds ratios | CI | p | |
| (Intercept) | 0.14 | 0.11–0.17 | <0.001 |
| Gender (ref: Male) | |||
| Female | 0.65 | 0.58–0.72 | <0.001 |
| Age category (ref: 18–34 years) | |||
| 35–54 years | 0.56 | 0.49–0.63 | <0.001 |
| 55+ years | 0.24 | 0.21–0.29 | <0.001 |
| Children in household (ref: No) | |||
| Yes | 1.83 | 1.61–2.07 | <0.001 |
| Race (ref: White, not Hispanic or Latino) | |||
| Asian American/Pacific Islander | 0.84 | 0.62–1.12 | 0.244 |
| Black or African American (not Hispanic or Latino) | 1.11 | 0.90–1.35 | 0.321 |
| Hispanic or Latino | 1.29 | 1.07–1.55 | 0.007 |
| Household income (ref: < $50,000) | |||
| $100,000+ | 1.04 | 0.89–1.21 | 0.611 |
| $50,000–$100,000 | 0.87 | 0.77–0.99 | 0.038 |
| Region (ref: South) | |||
| Midwest | 0.77 | 0.66–0.89 | <0.001 |
| Northeast | 0.73 | 0.62–0.86 | <0.001 |
| West | 0.78 | 0.67–0.92 | 0.002 |
| Community type (ref: Suburban) | |||
| Rural | 1.26 | 1.10–1.45 | 0.001 |
| Urban | 1.70 | 1.49–1.94 | <0.001 |
| Dog/cat ownership (ref: Did not have animal prior to March 2020) | |||
| Had animals prior to March 2020 | 4.71 | 4.04–5.52 | <0.001 |
| Observations | 9,713 | ||
| −2LL | 7,944.8 | ||
| AIC | 7,676.8 | ||
| R2 Tjur | 0.160 | ||
The bold values represent p-values less than 0.05.