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Prevalence of commonly diagnosed disorders in UK dogs under primary veterinary care: results and applications

Authors :
Dan G. O’Neill
Hannah James
Dave C. Brodbelt
David B. Church
Camilla Pegram
Source :
BMC Veterinary Research, Vol 17, Iss 1, Pp 1-14 (2021)
Publication Year :
2021
Publisher :
BMC, 2021.

Abstract

Abstract Background Although dogs are a commonly owned companion animal in the UK, the species experiences many health problems that are predictable from demographic information. This study aimed to use anonymised veterinary clinical data from the VetCompass™ Programme to report the frequency of common disorders of dogs under primary veterinary care in the UK during 2016 and to explore effects associated with age, sex and neuter status. Results From an available population of 905,543 dogs under veterinary care at 886 veterinary clinics during 2016, the current study included a random sample of 22,333 (2.47 %) dogs from 784 clinics. Prevalence for each disorder was calculated at the most refined level of diagnostic certainty (precise-level precision) and after grouping to a more general level of diagnostic precision (grouped-level precision). The most prevalent precise-level precision disorders recorded were periodontal disease (prevalence 12.52 %, 95 % CI: 12.09–12.97), otitis externa (7.30 %, 95 % CI: 6.97–7.65) and obesity (7.07 %, 95 % CI: 6.74–7.42). The most prevalent grouped-level disorders were dental disorder (14.10 %, 95 % CI: 13.64–14.56), skin disorder (12.58 %, 95 % CI: 12.15–13.02) and enteropathy (10.43 %, 95 % CI: 10.04–10.84). Associations were identified for many common disorders with age, sex and neuter. Conclusions The overall findings can assist veterinarians and owners to prioritise preventive care and to understand demographic risk factors in order to facilitate earlier diagnosis of common disorders in dogs. The information on associations with age, sex and neuter status provides additional contextual background to the complexity of disorder occurrence and supports targeted health controls for demographic subsets of dogs.

Details

Language :
English
ISSN :
17466148
Volume :
17
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Veterinary Research
Publication Type :
Academic Journal
Accession number :
edsdoj.b2297c8a829f43f3b52a36c18eea4fb2
Document Type :
article
Full Text :
https://doi.org/10.1186/s12917-021-02775-3