| Literature DB >> 31360653 |
Rute Canejo-Teixeira1, Isabel Neto1, Luís V Baptista2, Maria Manuela Rodeia Espada Niza1.
Abstract
The human-dog relationship is at least 16,000-years old and is mutually beneficial to both dyadic members. When the human-dog relationship becomes dysfunctional, however, there can be serious consequences for both parties and for society. Unfortunately, dysfunctional dyads are normally only identified after consequences have been felt (e.g., dog-human aggression) limiting the action that can be taken to prevent such occurrences. To evaluate whether these dysfunctional dyads can be preemptively identified, a questionnaire analyzing the owners' dog health care histories was administered to an urban dog owning population. Multiple correspondence analysis (n = 1,385) was conducted and identified three clusters accounting for 37.1% of the total variance, while four moderate positive correlations were found: "unspecified trauma" with "vehicular trauma" (r = 0.303, p < 0.001), "bitten" with "bit other animal" (r = 0.345, p < 0.001), "bit a person" with "bit other animal" (r = 0.369, p < 0.001), and "chronic illness" with "hospitalized" (r = 0.297, p < 0.001). These results suggest that a simple questionnaire can identify potential characteristics of functional and dysfunctional dyads. In functional dyads, humans tend to be responsible for their dogs' well-being, while dysfunctional dyads show the opposite characteristics, reporting experience with trauma and dog aggression.Entities:
Keywords: Dysfunctional dyads; Human–dog bond; MCA; Ownership characteristics; Questionnaire
Mesh:
Year: 2019 PMID: 31360653 PMCID: PMC6626146 DOI: 10.4314/ovj.v9i2.8
Source DB: PubMed Journal: Open Vet J ISSN: 2218-6050
Fig. 1.Binary responses to the second section of the questionnaire regarding medical occurrences experienced while caring for one or more dogs. Medical occurrences were simplified into easy to understand occurrences more likely to be remembered by the owner.
MCA model summary.
| Dimension | Cronbach's alpha | Variance accounted fsor | |
|---|---|---|---|
| Total (Eigen value) | Inertia | ||
| 1 | 0.662 | 2.473 | 0.247 |
| 2 | 0.211 | 1.234 | 0.123 |
| Total | 3.706 | 0.371 | |
| Mean | 0.512 | 1.853 | 0.185 |
Mean cronbach’s alpha is based on the mean Eigen value.
Fig. 2.MCA dimensions. Three clear groupings have been circled; (A) total dogs owned and bit other animal, (B) hospitalized and chronic illness, (C) vehicular trauma, unspecified trauma and bitten.
MCA dimensions discrimination measures.
| Dogs | Dimension | Mean | |
|---|---|---|---|
| 1 | 2 | ||
| Total dogs owned | 0.327 | 0.287 | 0.307 |
| Acute illness | 0.165 | 0.180 | 0.172 |
| Chronic illness | 0.272 | 0.140 | 0.206 |
| Unspecified trauma | 0.292 | 0.008 | 0.150 |
| Vehicular trauma | 0.233 | 0.003 | 0.118 |
| Bitten | 0.314 | 0.041 | 0.178 |
| Hospitalized | 0.281 | 0.153 | 0.217 |
| Bit other animal | 0.332 | 0.243 | 0.288 |
| Bit a person | 0.256 | 0.179 | 0.217 |
| Euthanized | 0.000 | 0.000 | 0.000 |
| Active total | 2.473 | 1.234 | 1.853 |
Correlation matrix of the transformed (optimally scaled) variables.
| Dimension: 1 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Dogs | Total dogs owned | Acute illness | Chronic illness | Unspecified trauma | Run over by vehicle | Bitten | Admitted to ICU | Bit other animal | Bit a person | Euthanized |
| Total dogs owned | 1.000 | |||||||||
| Acute illness | 0.130 | 1.000 | ||||||||
| Chronic illness | 0.217 | 0.216 | 1.000 | |||||||
| Unspecified trauma | 0.141 | 0.170 | 0.176 | 1.000 | ||||||
| Run over by vehicle | 0.259 | 0.093 | 0.125 | 0.303 | 1.000 | |||||
| Bitten | 0.214 | 0.143 | 0.162 | 0.214 | 0.132 | 1.000 | ||||
| Admitted to ICU | 0.205 | 0.212 | 0.297 | 0.202 | 0.135 | 0.203 | 1.000 | |||
| Bit other animal | 0.241 | 0.075 | 0.142 | 0.155 | 0.152 | 0.345 | 0.130 | 1.000 | ||
| Bit a person | 0.223 | 0.078 | 0.139 | 0.181 | 0.122 | 0.148 | 0.115 | 0.369 | 1.000 | |
| Euthanized | 0.030 | −0.026 | 0.038 | −0.028 | 0.007 | 0.027 | 0.024 | −0.028 | 0.000 | 1.000 |
| Dimension | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| Eigenvalue | 2.473 | 1.167 | 1.030 | 0.998 | 0.866 | 0.821 | 0.785 | 0.695 | 0.628 | 0.536 |
p < 0.001.