Table 1.
Owner-dog relationship dimensions and extracted factors.
Table 2.
Dog source methods.
Table 3.
Dog source methods as a puppy.
Table 4.
Statistical significance of owner and dog parameters on CBARQ Factor 1 “Difficult behaviour”.
Table 5.
Statistically significant interactions of owner and dog parameters on CBARQ Factor 2 “Excitability”.
Table 6.
Statistically significant interactions of owner and dog parameters on MDORS Factor 1 “Struggle”.
Table 7.
Statistically significant interactions of owner and dog parameters on MDORS Factor 2 “Burden”.
Table 8.
Statistically significant interactions of owner and dog parameters on HAB Factor 1 “Regret”.
Table 9.
Statistically significant interactions of owner and dog parameters on HAB Factor 2 “Satisfaction”.
Table 10.
Statistically significant interactions of owner and dog parameters on training methods Factor 1 “Harsh training”.
Table 11.
Statistically significant interactions of owner and dog parameters on training methods Factor 2 “Gentle training”.
Table 12.
Statistically significant interactions of owner and dog parameters on perceived health factor “Perceived health issues”.
Table 13.
Statistically significant interactions of owner and dog parameters on expectation factor “Expectation”.
Table 14.
Statistically significant interactions of owner and dog parameters on LAPS factor “Attachment”.
Fig 1.
Statistically significant owner and dog parameters on the professional help outcome.
Professional help outcome odds predicted by statistically significant predictor variables: owner age (P = .009), dog age (P < .001), and male owners (P = .019), calculated by the logistic regression model.
Fig 2.
Statistically significant owner and dog parameters on the internet help outcome.
Internet help outcome odds predicted by statistically significant predictor variables: owner age (P < .001), university-educated owners (P = .022), postgraduate-educated owners (P = .026), and dog age (P < .001), calculated by the logistic regression model.
Fig 3.
Statistically significant owner and dog parameters on experience help outcome.
Experience help outcome odds predicted by statistically significant predictor variables: owner age (P < .001) and the number of children in the household (P = .043), calculated by the logistic regression model.
Table 15.
Canadian and non-Canadian dog sizes.
Table 16.
Canadian and non-Canadian dog breeds.
Table 17.
Canadian and non-Canadian dog age on acquisition.
Table 18.
Non-Canadian dog source.
Fig 4.
Non-Canadian origin outcome odds ratio for owner and dog parameters.
Non-Canadian origin outcome odds ratio predicted by all variables collected: owner gender (female), owner age, age of dog when acquired, dog breed (mixed), dog size, and owner-dog dimensions, calculated by the logistic regression model. Statsitcal signifiance was detected when 95% confidence interval did not cross the dotted line at odds 1. Statistically significant variables are indicated with an asterisk.
Table 19.
Logistic regression of owner and dog parameters on non-Canadian origin outcome.