| Literature DB >> 30834249 |
Jacquie Rand1,2, Gina Fisher2, Kate Lamb1, Andrea Hayward2.
Abstract
A survey of Brisbane residents was undertaken to investigate community attitudes toward urban stray cats and their management. Surveys were distributed to 84 medical and dental practices across Brisbane City, and were completed by 305 patients and staff. Practices were targeted to achieve a sample of respondents from a representative distribution of socioeconomic backgrounds. After being informed about trap, neuter, and return (TNR) programs for management of urban stray cats, most respondents (79%), chose TNR as their preferred management strategy, while a lesser proportion (18%) expressed a preference to continue the current Brisbane City Council lethal control program (catching and culling ~1,000 cats annually), and 3.4% selected to leave the cats alone. Differences in beliefs and attitudes toward urban stray cats as a function of demographic variables were investigated. Statistical analyses indicated that respondents who were male, older, non-cat owners, those who believed euthanasia of stray cats was humane, and that urban stray cats spread disease to humans were significantly more likely to express a preference for lethal control, as opposed to non-lethal population management. Based on these findings, we recommend that information is disseminated to mitigate these concerns or negative beliefs, where warranted. Ultimately, findings from this study demonstrate that current Queensland legislation does not reflect public views and opinions on stray cat management and should be reviewed. Formal research evaluating the efficacy of TNR programs for urban stray cats in Australia would be in the public interest.Entities:
Keywords: cats; euthanasia; sterilize; trap neuter return; urban stray
Year: 2019 PMID: 30834249 PMCID: PMC6387915 DOI: 10.3389/fvets.2018.00290
Source DB: PubMed Journal: Front Vet Sci ISSN: 2297-1769
Locations of reported stray cat sightings and associated proportion of total sightings.
| Private residences | 44 | 20.5 |
| Commercial businesses | 33 | 15.3 |
| Alleyways | 33 | 15.3 |
| Suburban parks | 27 | 12.6 |
| Industrial areas | 22 | 10.2 |
| Vacant blocks | 19 | 8.8 |
| Schools | 18 | 8.4 |
| Train stations | 12 | 5.6 |
| Government housing | 7 | 3.3 |
Response distributions for survey items pertaining to nuisance behaviors of stray cats, and chi-square tests for differences in response distributions as a function of demographic variables.
| Cause a nuisance by urinating and defecating in people's gardens (302) | SD = 11.9 (36) | Gender (294) | ||
| D = 16.2 (49) | ||||
| N = 26.5 (80) | ||||
| A = 24.8 (75) | ||||
| SA = 20.5 (62) | ||||
| Are annoying because they fight and make loud noises (303) | SD = 10.9 (33) | Gender (295) | ||
| D = 14.9 (45) | ||||
| N = 28.1 (85) | Own-pet (299) | |||
| A = 25.7 (78) | ||||
| SA = 20.5 (62) | ||||
| Spread diseases to humans (301) | SD = 16.3 (49) | Gender (293) | ||
| D = 22.3 (67) | Age (296) | |||
| N = 43.5 (131) | ||||
| A = 8.6 (26) | ||||
| SA = 9.3 (28) | ||||
| Spread diseases to owned pets (299) | SD = 8.7 (26) | Gender (291) | ||
| D = 8.7(26) | Age (294) | |||
| N = 34.4 (103) | Own-pet (295) | |||
| A = 31.8 (95) | ||||
| SA = 16.4 (49) |
SD, strongly disagree; D, disagree; N, neutral; A, agree; SA, strongly agree.
Significant at the < 0.05 level;
Significant at the ≤ 0.01 level;
Significant at the ≤ 0.001 level. Response distributions associated with significant chi-square results are displayed in plots under the explanation of findings for the given items. For simplicity, descriptive statistics for non-significant results are not reported. Bold indicates variables with significantly different response distributions at P < 0.05.
Figure 1Level of agreement for statement “urban stray cats spread diseases to humans” between significantly different groups. SD, strongly disagree; D, disagree; N, neutral; A, agree; SA, strongly agree.
Response distributions for survey items pertaining to stray cats' ecological impact and chi-square tests for differences in response distributions as a function of demographic variables.
| Urban stray cats have decreased the number of native birds in my suburb (302) | SD = 7.0 (21) | |||
| D = 11.3 (34) | Age (297) | |||
| N = 50.0 (151) | Own-pet (298) | |||
| A = 16.6 (50) | ||||
| SA = 15.2 (46) | ||||
| Urban stray cats have decreased the number of small native animals in my suburb (301) | SD = 6.0 (18) | |||
| D = 13.0 (39) | Age (296) | |||
| N = 48.2 (145) | Own-pet (297) | |||
| A = 17.3 (52) | ||||
| SA = 15.6 (47) |
Significant at the ≤ 0.01 level;
Significant at the ≤ 0.001 level. Response distributions associated with significant chi-square results are displayed in plots under the explanation of findings for the given items. Bold indicates variables with significantly different response distributions at P < 0.05.
Figure 2Level of agreement for statement “urban stray cats decrease the number of native birds in my suburb” for each significantly different group.
Response distributions for survey items pertaining to welfare of stray cats and chi-square tests for differences in response distributions as a function of demographic variables.
| Urban stray cats have a good life (297) | SD = 21.2 (63) | Gender (289) | ||
| D = 30.3 (90) | Age (292) | |||
| N = 43.1 (128) | Own-pet (293) | |||
| A = 3.4 (10) | Own-cat (297) | |||
| SA = 2.0 (6) | Aware of Strays (293) | |||
| Seeing a healthy stray cat would make me feel good (300) | SD = 14.7 (44) | Gender (295) | ||
| D = 18.0 (54) | Age (295) | |||
| N = 38.3 (115) | Own-pet (297) | |||
| A = 17.7 (53) | ||||
| SA = 11.3 (34) | ||||
| Feeding a stray cat would make me feel good (299) | SD = 19.4 (58) | |||
| D = 14.4 (43) | ||||
| N = 34.1 (102) | Own-pet (296) | |||
| A = 21.1 (63) | ||||
| SA = 11.0 (33) | Aware of Strays (295) | |||
| Urban stray cats should be managed differently from feral cats in the bush (302) | SD = 11.3 (34) | Gender (294) | ||
| D = 11.3 (34) | Age (297) | |||
| N = 28.1 (85) | Own-pet (298) | |||
| A = 31.1 (94) | ||||
| SA = 18.2 (55) |
Significant at the < 0.05 level;
Significant at the ≤ 0.01 level;
Significant at the ≤ 0.001 level. Response distributions associated with significant chi-square results are displayed in plots under the explanation of findings for the given items. Bold indicates variables with significantly different response distributions at P < 0.05.
Figure 3Level of agreement for statement “seeing a healthy stray cat would make me feel good” for each significantly different group.
Figure 4Level of agreement for statement “feeding a healthy stray cat would make me feel good” for each significantly different group.
Figure 5Level of agreement for statement “urban stray cats should be managed differently” for each significantly different group.