Skip to main content
Download PDF

Demography and disorders of German Shepherd Dogs under primary veterinary care in the UK

Canine Genetics and Epidemiology volume 4, Article number: 7 (2017) Cite this article

Abstract

Background

The German Shepherd Dog (GSD) has been widely used for a variety of working roles. However, concerns for the health and welfare of the GSD have been widely aired and there is evidence that breed numbers are now in decline in the UK. Accurate demographic and disorder data could assist with breeding and clinical prioritisation. The VetCompassTM Programme collects clinical data on dogs under primary veterinary care in the UK. This study included all VetCompassTM dogs under veterinary care during 2013. Demographic, mortality and clinical diagnosis data on GSDs were extracted and reported.

Results

GSDs dropped from 3.5% of the annual birth cohort in 2005 to 2.2% in 2013. The median longevity of GSDs was 10.3 years (IQR 8.0–12.1, range 0.2–17.0). The most common causes of death were musculoskeletal disorder (16.3%) and inability to stand (14.9%). The most prevalent disorders recorded were otitis externa (n = 131, 7.89, 95% CI: 6.64–9.29), osteoarthritis (92, 5.54%, 95% CI: 4.49–6.75), diarrhoea (87, 5.24%, 95% CI: 4.22–6.42), overweight/obesity (86, 5.18%, 95% CI: 4.16–6.36) and aggression (79, 4.76%, 95% CI: 3.79–5.90).

Conclusions

This study identified that GSDs have been reducing in numbers in the UK in recent years. The most frequent disorders in GSDs were otitis externa, osteoarthritis, diarrhoea, overweight/obesity and aggression, whilst the most common causes of death were musculoskeletal disorders and inability to stand. Aggression was more prevalent in males than in females. These results may assist veterinarians to offer evidence-based advice at a breed level and help to identify priorities for GSD health that can improve the breed’s health and welfare.

Plain English summary

The German Shepherd Dog (GSD) is one of the most popular dog breeds worldwide and has been widely used for herding, guarding, police, military and guide-dog roles. Over recent decades, breeding for characteristics deemed desirable in the show-ring have changed the physical shape of the GSD and there is now much debate about the health of the breed. Annual KC registrations for GSDs in the UK have dropped sharply over the past decade. VetCompassTM collects veterinary clinical data from first-opinion practices for research purposes. This study aimed to use VetCompassTM data to describe the demography, mortality and common disorders of GSDs in the UK.

GSDs comprised 12,146 (2.7%) of the 455,557 dogs in the VetCompassTM database. Females were more likely to be neutered than males (51.6% versus 41.1%). The average age of the GSDs was 4.7 years. The popularity of GSDs dropped from 3.5% of all dogs born in 2005 to 2.2% in 2013. The average lifespan of GSDs overall was 10.3 years. The most common causes of death were joint disorders (16.3%) and inability to stand (14.9%).

Overall, 63.43% of GSDs had at least one disorder recorded during 2013. The most common disorders recorded were ear infections (7.89%), arthritis/joint disease (5.54%), diarrhoea (5.24%), overweight/obesity (5.18%) and aggression (4.76%). Male dogs were more likely than female dogs to have aggression (6.75% versus 2.78%).

This is the largest study to date to explore GSDs using first opinion veterinary clinical records and shows the power of these records to help understand and improve breed health in dogs. The demographic findings will be of interest to government, breed and kennel clubs, and commercial bodies to reliably understand the current and future status of the GSD breed. The decline in popularity of the GSD may reflect a general trend away from ownership of larger breeds and towards smaller breeds, but may also follow wide reporting of health issues within the GSD breed.

These results may assist veterinarians to offer evidence-based advice at a breed level and help to identify priorities for GSD health that can improve the breed’s health and welfare.

Background

Since the creation of the German Shepherd Dog (GSD) at the turn of the twentieth century, the breed has become one of the most populous dog breeds internationally and has been widely used for a variety of working roles including herding, guarding, police, military and guide-dog roles [1]. During this period, the phenotype of the GSD has changed considerably. GSDs were initially bred as medium-sized dogs to meet their original herding purpose and indeed GSDs are still classified within the pastoral group by the UK Kennel Club (KC) [2]. Subsequent roles such as guarding and police work contributed to selective breeding for larger and more confident dogs [1, 3]. Over recent decades, further selection towards characteristics deemed desirable in the show-ring have further altered the GSD conformation in show dogs to emphasise features such as a sloping croup that may be associated with altered physiological function [4]. Indeed, the KC Breed Information Centre states that the evolution of the GSD breed and its changed appearance in the last fifty years has provoked fierce debate, with the breed now showing a marked division of breed “type” [2].

Despite historic popularity of the breed, evidence suggests that GSD numbers are now in decline in the UK, where annual KC registrations for GSDs have dropped from 4.5% of all registrations (12,116 of 270,707 registrations) in 2007 to 3.4% (7751 of 227,708 registrations) in 2016 [5]. However, KC data reflect the activity of just the 30% of UK dogs that are estimated to be KC registered and there are scant data on GSD breed counts in the wider general population [6]. In Australia, registrations for GSDs with the Australian National Kennel Council dropped from 6.6% of all registrations in 2000 to 5.0% in 2016 [7]. By contrast, the GSD appears to be increasing in popularity in the US where the American Kennel Club reports that the GSD rose from the fourth most common registration in 2003 to the second most common in 2013 [8]. These varying demographic trends may in part reflect differing true and perceived health issues in the GSD breed between different countries. As the breed switched from a working to a pet role, this may have led to reduced breeding selection focus on functional health and work characteristics and instead triggered greater concentration on show/cosmetic traits with the added potential for increased propagation of inherited disease [9, 10].

Concerns for the health welfare of the GSD have been widely aired [11,12,13]. The KC Breed Watch system categorises the GSD as Category Three breed “requiring particular monitoring and additional support” and considered to be more susceptible to developing specific health conditions associated with exaggerated conformation [14]. Breed Watch points of concern include cow hocks, excessive turn of stifle, nervous temperament, sickle hock and weak hindquarters [15, 16]. The GSD had the highest number of published predispositions to inherited diseases overall among the fifty most commonly registered KC breeds and had the second-highest number of disorders exacerbated by conformation, exceeded only by the Great Dane [9]. Individual disorders with reported predisposition in the GSD include hip dysplasia [17, 18], haemangiosarcoma [19], exocrine pancreatic insufficiency [20, 21], degenerative myelopathy [17, 22, 23], anal furunculosis [24] and lumbosacral disease [25, 26].

Predisposition implies a higher relative risk compared with some other comparator. However, absolute and comparative prevalence data relating to the wider population within a specified geographical setting is required for a fuller understanding of disorder prioritisation within breeds [27]. Disorder information on Swedish GSDs derived from insurance claim data on 32,486 dogs reported the most common diagnoses claimed as pyometra, itching and lameness [28]. Although extremely useful, results from analyses of insurance data are nonetheless limited to the insured subset of the overall population, only including disorders with a cost that exceed the insurance excess and may be further constrained by excluded conditions and non-lifelong policy cover [29]. Primary-care veterinary clinical data have recently seen increased application as a secondary research resource to report on breed health in dogs [30, 31]. Veterinary clinical data benefit from inclusion of all dogs under veterinary care and all disorders recorded regardless of treatment cost, as well as the reliability derived from their veterinary and contemporaneous diagnoses [32]. Periodontal disease, anal sac impaction and diarrhoea were reported as the most common disorders in a small subset of GSDs within a wider study that used primary-care veterinary clinical data to identify disorder prevalence in dogs overall [33]. However, these results were based on a small sample of just 132 GSDs and the veterinary clinical practices were limited to central and south-eastern England.

Accurate and generalisable data on the types and frequencies of common disorders in dog breeds are needed to provide guidance for research, breeding and clinical prioritisation [27, 34]. Awareness of the frequency of disorders in the general population of dogs can assist to focus research towards the most common conditions in order to maximize the welfare gains while breeding programs can increasingly target selection decisions on disorders that result in maximal welfare detriment [35, 36]. Using veterinary clinical data from the VetCompassTM Programme [37], this study aimed to report on the demography and mortality of GSDs in the UK and to tier the prevalence of the most common disorders recorded in GSDs. It has previously been reported that male dogs are more likely to be diagnosed with aggression than females [38]. This study hypothesised that the prevalence of aggression is higher in male than in female GSDs.

Methods

The study population included all dogs under primary veterinary care at clinics participating in the VetCompassTM Programme during 2013. Dogs under veterinary care were defined as those with either a) at least one electronic patient record (EPR) (VeNom diagnosis term, free-text clinical note, treatment or bodyweight) recorded during 2013 or b) at least one EPR recorded both before and after 2013. The VetCompassTM Programme collates de-identified EPR data from primary-care veterinary practices in the UK for epidemiological research [37]. Collaborating practices can record summary diagnosis terms during episodes of care from an embedded VeNom Code list [39]. Data fields available for VetCompassTM researchers include species, breed, date of birth, sex, neuter status, insurance status and bodyweight, and clinical information from free-form text clinical notes and summary diagnosis terms (VeNom codes), plus treatment and deactivation status with relevant dates. Deactivation date described the final date that the dog was under the care of the practice. Reasons for deactivation include dogs that had died or been rehomed, or where clients had moved practice or had been actively de-registered (e.g. because of bad-debting).

Dogs recorded as ‘German Shepherd Dog’ breed were categorised as GSDs and all remaining dogs were categorised as non-GSD. A cohort study design was used to estimate the one-year period prevalence of the most commonly diagnosed disorders in GSDs during 2013 [40]. Sample size calculations estimated that 1023 GSDs would need to be sampled to represent a disorder with a 3.0% expected prevalence to a precision of 1.0% at a 95% confidence level from a population of 12,000 dogs [41]. Ethics approval was obtained from the RVC Ethics and Welfare Committee (reference number 2016/U40).

All-age Bodyweight (kg) described all available bodyweight and date combinations regardless of age. Adult Bodyweight (kg) described the maximum bodyweight recorded for dogs >18 months and was categorised into 5 groups (< 30 kg, 30.0–39.9 kg, 40.0–49.9 kg, ≥ 50.0 kg). Neuter described the status of the dog (entire or neutered) at the final EPR. Age described the age at the final date under veterinary care during 2013 at the study veterinary practice and was recorded at the earlier date of either December 31st, 2013 or the deactivation date.

A random subset of all study GSDs were reviewed manually in detail to extract the most definitive diagnostic term recorded for each disorder that existed during 2013 and to manually link this to the most appropriate VeNom term as previously described [33]. Elective (e.g. neutering) or prophylactic (e.g. vaccination) clinical events were not included. No distinction was made between pre-existing and incident disorder presentations. In the absence of a formally recorded clinical diagnostic term, disorders were included using the first presenting sign listed (e.g. vomiting or vomiting and diarrhoea would be extracted as vomiting) to ensure that disorders described with multiple presenting signs were counted as single disorders. Mortality data (recorded clinical cause, date and method of death) were extracted on all deaths at any date during the available EPR data.

The extracted diagnosis terms were mapped to two precision hierarchies for analysis: fine-level precision and grouped-level precision as previously described [33]. Briefly, fine-level precision terms retained the original extracted terms at the maximal diagnostic precision recorded within the clinical notes (e.g. inflammatory bowel disease would remain as inflammatory bowel disease). Grouped-level precision terms mapped the original diagnosis terms to a general level of diagnostic precision (e.g. inflammatory bowel disease would map to gastro-intestinal).

Following data checking for internal validity and cleaning in Excel (Microsoft Office Excel 2013, Microsoft Corp.), analyses were conducted using Stata Version 13 (Stata Corporation). The sex, neuter status, age and adult bodyweight for GSDs under veterinary care during 2013 were described. Annual proportional birth rates described the relative proportion of GSDs from all dogs among the 2013 study population that were born in each year from 2000 to 2013. All-age bodyweight data with their associated dates were used to generate individual bodyweight growth curves for male and female GSDs by plotting age-specific bodyweights and were overlaid with a cross medians line plot using the Stata mband command.

One-year (2013) period prevalence values with 95% confidence intervals (CI) described the probability of diagnosis for common disorders at least once during 2013 across all GSDs. The CI estimates were derived from standard errors based on approximation to the normal distribution for disorders with ten or more events [42] or the Wilson approximation method for disorders with fewer than ten events [43]. Prevalence values were reported overall and also separately for males and females. The chi-square test was used to compare categorical variables and the Mann-Whitney U test to compare continuous variables [42]. Statistical significance was set at P < 0.013 after applying a Sidak correction factor for the multiple tests used in the study [44].

Results

Demography and mortality

The study population of 455,557 dogs in the VetCompassTM database under veterinary care at 430 clinics distributed widely across the UK during 2013 included 12,146 (2.7% of the total population) GSDs. Of GSDs with information available, 6034 (49.8%) were female. Females were more likely to be neutered than males (51.6% versus 41.1%, P < 0.001). The median age of the GSDs was 4.7 years (IQR 2.1–8.1, range 0.0–19.8) (Table 1). Bodyweight growth curves based on 24,301 bodyweight values from 4030 females and 25,420 bodyweight values from 4052 males showed that GSD puppies grow rapidly during their first year and that males plateau at a higher adult bodyweight than females (Fig. 1). The median bodyweight across all ages for males (36.0 kg, IQR: 28.3–41.6, range: 0.7–82.9) was higher than for females was (31.0 kg, IQR: 25.5–36.4, range: 0.4–64.3) (P < 0.001). The median adult bodyweight of males (40.1 kg, interquartile range [IQR] 36.0–45.5, range 16.9–82.9) was higher than for females (34.8 kg, IQR 30.6–39.5, range 15.0–74.0) (P < 0.001). Data completeness varied across the variables assessed: age 98.7%, sex 99.7%, neuter 81.5% and all-age bodyweight 88.1%. Annual proportional birth rates showed that GSDs rose from 2.1% of the annual VetCompassTM birth cohort in 2000 to peak at 3.5% in 2005 before decreasing to 2.2% in 2013 (Fig. 2).

Table 1 Demography of German Shepherd Dogs under primary veterinary care at practices participating in the VetCompassTM Programme in the UK from January 1st, 2013 to December 31st, 2013
Full size table
Fig. 1
figure1

Bodyweight growth curves overlaid with a cross medians line plot for female and male German Shepherd Dogs under primary veterinary care during 2013 at clinics in the UK participating in the VetCompassTM Programme. (Females n = 4073, Males n = 4104)

Full size image
Fig. 2
figure2

Annual proportional birth rates (2000–2013) for German Shepherd Dogs among all dogs (n = 455,557) under primary veterinary care during 2013 at clinics in the UK participating in the VetCompassTM Programme. Standard error bars are shown for each column

Full size image

There were 272 GSD deaths recorded during the study. The median longevity of GSDs overall was 10.3 years (IQR 8.0–12.1, range 0.2–17.0). The median longevity of females (11.1 years, IQR 9.1–12.5, range 0.6–15.9) was longer than for males (9.7 years, IQR 7.5–11.7, range 0.2–17.0) (P = 0.001). Overall, 87.2% of deaths with information available involved euthanasia with the remaining 12.8% of dogs having an unassisted ‘natural’ death. No significant difference in the method of death (euthanasia versus unassisted) was identified between the sexes (P = 0.807). The median longevity of neutered animals (10.2 years, IQR 8.3–12.3, range 1.7–17.0) was not statistically higher than for entire animals (9.8 years, IQR 7.6–11.4, range 0.2–15.0) (P = 0.041). Fifty-one (18.8%) deaths did not have a stated cause. Of the remaining 221 (81.2%) deaths, the most common causes of death described at a grouped-precision level were musculoskeletal disorder (16.3%), inability to stand (14.9%), neoplasia (14.5%) and spinal cord disorder (13.6%). No differences in probability were identified between males and females for the 14 most common causes of death (Table 2).

Table 2 Mortality in German Shepherd Dogs with a recorded cause of death under primary-care veterinary at UK practices participating in the VetCompassTM Programme from January 1st, 2013 to December 31st, 2013 (n = 221)
Full size table

Disorder prevalence

The EPRs of a random sample of 1660 GSDs (13.67% of all GSDs) were manually examined to extract all recorded disorder data. Of these, 1053 GSDs (63.43%) had at least one disorder recorded during 2013 while the remaining 36.57% had no disorder recorded. There was no significant difference between males and females for their probability to have at least one disorder recorded (66.14% versus 60.87%, P = 0.026). The median count of disorders per GSDs during 2013 was 1 disorder (IQR 0–2, range 0–9).

Among the 1660 GSDs examined, there were 2028 unique disorder events recorded during 2013 that encompassed 263 distinct fine-level disorder terms. The most prevalent fine-level precision disorders recorded were otitis externa (n = 131, 7.89%, 95% CI: 6.64–9.29), osteoarthritis (92, 5.54%, 95% CI: 4.49–6.75), diarrhoea (87, 5.24%, 95% CI: 4.22–6.42), overweight/obesity (86, 5.18%, 95% CI: 4.16–6.36) and aggression (79, 4.76%, 95% CI: 3.79–5.90). Males were more likely than females to have aggression (6.75% versus 2.78%, P < 0.001)) (Table 3).

Table 3 Prevalence of the most common disorders at their fine-level (greatest) diagnostic precision recorded in German Shepherds Dogs (n = 1660) attending UK primary-care veterinary practices participating in the VetCompassTM Programme from January 1st, 2013 to December 31st, 2013
Full size table

These fine-level disorders were grouped into 48 distinct grouped-level disorder terms. The most prevalent grouped-level precision disorders were musculoskeletal (n = 253, prevalence: 15.24%, 95% CI: 13.54–17.06), cutaneous (232, 13.98%, 95% CI: 12.34–15.74), aural (185, 11.14%, 95% CI: 9.67–12.76), gastroenteropathy (170, 10.24%, 95% CI: 8.82–11.80) and behavioural (106, 6.39%, 95% CI: 5.26–7.67). Males were more likely than females to have behavioural disorder (8.55% versus 4.23%, P < 0.001) recorded as a grouped-level disorder (Table 4).

Table 4 Prevalence of the most common disorder groups recorded in German Shepherds Dogs (n = 2197) attending UK primary-care veterinary practices participating in the VetCompassTM Programme from January 1st, 2013 to December 31st, 2013
Full size table

Discussion

This study presents the largest analysis of demography, mortality and disorder prevalence in GSDs based exclusively on primary-care veterinary clinical records reported to date. Evidence is shown for a declining popularity of GSDs over the past decade in the UK. The most common causes of mortality are reported as deaths due to underlying musculoskeletal disorders and inability to stand. The most prevalent disorders identified were otitis externa, osteoarthritis and diarrhoea. These results highlight the power of primary-care veterinary clinical records to help understand breed health in dogs and to support evidence-based approaches towards improved health and welfare in dogs.

Breed-based demography is of interest to governments, breed clubs and kennel clubs and also to commercial bodies because it builds a picture of the current status for each breed and also helps to predict future population patterns for that breed [45]. To date, kennel clubs around the world have been the mainstay of demography data on the registered pedigree subset of dogs [46]. Data on the wider population of dogs has been sought previously from questionnaire studies, and microchip and insurance databases [45, 47, 48]. Veterinary clinical data collected from a large number of clinics now offers a novel data resource to provide an additional and unique demographic perspective on dogs [31]. Data from kennel clubs around the world have shown a mixed picture on the popularity of GSDs. The registered subset of the breed is in decline in the UK [5] and Australia [7] but appears to be gaining in popularity in the US [8]. Veterinary data offer a view on the entire rather than just the kennel club registered component of GSDs and the current study indicates a sharp decline from 3.5% to 2.2% in the annual birth proportion of GSDs between 2005 and 2013. The reducing popularity for GSDs reported in the current study may partly reflect a general trend away from ownership of larger breeds and towards smaller breeds, with small and mid-sized brachycephalic breeds currently being especially popular in the UK, and may also partially result from wide reporting of health issues within the GSD breed but it is also likely that many other factors are in play in relation to this complex topic [6, 49]. Major drivers for changing popularity trends across breeds are poorly understood and may even be apparently paradoxical. A survey of owners in Denmark identified that the relative weighting of purchase motivational factors such as the dog’s distinctive appearance, welfare-related breed attributes and health and behavioural problems differed broadly among owners of differing breeds [50]. An owner survey in the UK similarly identified that complex factors influence breed selection and concluded that physical appearance was prioritised over health and longevity [51]. Despite wide reporting of health concerns for the GSD [11], the current study reported that 36.57% of GSDs under veterinary care had no disorders recorded during 2013. Given the current emphasis on enhancing disease surveillance in the breed, especially among the showing and breeding sectors of the GSD population [49], this finding presents an alternative perspective whereby not all dogs are unwell and that gives some optimism for the breed. It is also possible, though, that some of these ‘healthy’ individuals with no recorded disorders did have some unrecorded health problems that were not perceived as serious enough to warrant presentation for veterinary care or were not obvious enough to be recognised by the owner and/or veterinarian [52]. It is also possible that some breed-typical abnormalities such as poor hindlimb conformation or gait may be considered as normal for the breed and therefore not warranted for inclusion in the veterinary clinical records as a formal diagnosis [53].

The median longevity of GSDs in the current study was 10.3 years. This is shorter than the median longevity of 12.0 years that was reported for dogs of all breeds using a similar methodology [54]. There is now a substantial body of evidence supporting a reduction in average longevity as breeds increase in average bodysize [46, 54,55,56,57,58,59]. This reduction in lifespan among larger dog breeds has been attributed to a wide range of genetic differences and pathological conditions induced by artificial selection and accelerated growth [55, 60,61,62,63]. These findings suggest that, despite health concerns for the breed, GSDs are not particularly short-lived given their large body-size, although high longevity is not always synonymous with high welfare [35].

The two most common causes of death for GSDs in the current study were musculoskeletal disorder (16.3%) and inability to stand (14.9%). The true underlying causes for inability to stand can only be speculated but are likely to be multi-factorial and to include combinations of musculoskeletal, neurological, neoplastic and other diverse conditions. Taken holistically, this suggests that musculoskeletal conditions are a major contributor to mortality in GSDs and reinforces the relevance of research and reforms that aim to better understand and control musculoskeletal conditions in the breed. It is notable that musculoskeletal disorders are often degenerative and progressive conditions that do not necessarily lead to early death in affected individuals but may substantially impact on animal welfare from their prolonged durations of pain and/or incapacitation [27, 64].

Otitis externa, recorded in 7.87% of GSDs, was the most prevalent fine-level disorder diagnosed in the current study, while aural disorders of all subtypes affected 11.14% of the study dogs and were the third most common grouped disorder. However, this high frequency of occurrence does not mean that GSDs are necessarily over-represented for otitis externa. The high relevance of otitis externa to the primary-care caseload overall has previously been identified in several studies. Otitis externa, with a prevalence of 10.2%, was the most common disorder in diagnosed dogs overall in England [33] and was the third most common diagnosis in dogs in the US where it was recorded in 13.0% of consultations [65]. In England, otitis externa, was the fourth most common disorder in Cavalier King Charles Spaniels (prevalence 9.2% [30]) and the third most commonly diagnosed disorder in Pugs (prevalence 7.53% [31]). By contrast, ear disorders were the eight most common general cause reported as an insurance claim in GSDs in Sweden, perhaps suggesting that clinical management of many ear disorder events may not so expensive as to warrant an insurance claim that goes above the financial exclusion cut-off [28]. The underlying causes of OE are varied and are often linked to allergic or atopic skin disease. Atopy has been reported as a common disorder in GSDs [66] while atopic otitis externa or aural pruritus has been reported in up to 86% of atopic cases [67]. The current study chose to report skin disorders and otitis externa as separate events for dogs even where both disorders were present concurrently but it may be speculated that some of these otitis externa cases were truly part of an underlying diagnosed or undiagnosed atopic disorder. Cutaneous disorders were the second most prevalent grouped-level disorder (prevalence 13.98%) in the current study and atopic dermatitis was specifically diagnosed in 1.45% of the study dogs.

Osteoarthritis was the second most prevalent fine-level disorder recorded in the current study, with a prevalence of 5.54%. Locomotor disorders were also the second most common general cause reported as an insurance claim in GSDs in Sweden [28] and were recorded in 6.6% of dogs overall in England [33]. However, much lower prevalence values for osteoarthritis have been reported in breeds of small bodysize. Osteoarthritis was the 19th most common disorder in Cavalier King Charles Spaniels (prevalence of 2.6% [30]) and did not even feature among 25 most common disorders of Pugs [31]. The osteoarthritis cases in the current GSD study covered musculoskeletal disorders presenting at any body site with a recorded osteoarthritic pathology. It is worth noting that hip dysplasia was included as a separate disorder because the presence of osteoarthritis is not necessarily required for a hip dysplasia diagnosis [68]. As a large breed, the GSD may be predisposed to musculoskeletal disorders because of either of their larger bodysize, or their fast rate of growth [9, 69, 70]. Exaggerated breed-related conformations such as selective breeding towards lower hindquarters could also increase the probability of osteoarthritic conditions further [71].

Diarrhoea was the third most prevalent fine-level disorder (5.24%) and gastro-intestinal overall which was the fourth most prevalent grouped disorder (10.24%). Gastro-intestinal disorders were the third most common general cause reported as an insurance claim in GSDs in Sweden [28] and were the most common grouped diagnosis recorded in dogs overall in England, with a prevalence of 17.8% [33]. GSDs have been reported as predisposed to inflammatory bowel disease [72, 73] and exocrine pancreatic insufficiency [20]. The current study did not aim to classify acute/chronic presentations or to extract detailed data on diagnostic protocols so detailed information on specific subsets of gastroenteric disorders await a future more specific study.

Overweight/obesity was the fourth most prevalent fine-level diagnosis in the current study (5.18%). However, overweight/obesity did not feature among the 24 top general causes for insurance claims in GSDs in Sweden, perhaps because treatment usually focuses on dietary and exercise management which are not generally covered by insurance policies [28]. Across all breeds, overweight/obesity is reported as the seventh most common disorder, affecting 6.1% of dogs [33]. Obesity is now recognised as an important medical disease in dogs [74] that can predispose dogs to diabetes mellitus, osteoarthritis, and urinary incontinence [75]. It is worth noting that research based on primary-care veterinary clinical data may under-report the true levels of obesity/overweight although these data will still be useful to explore associations with risk factors within studies such as sex as well as also for comparative interpretations across breeds between studies using the same methodologies [30, 31].

Aggression was the fifth most prevalent fine-level disorder reported (4.76%). Undesirable behaviours were recorded in 2.6% of dogs overall in England [33] but were the least frequent of the 24 top general causes for insurance claims in GSDs in Sweden, perhaps because insurance policies did not routinely cover this condition [28]. The GSD has also been identified as a predisposed breed for bite risk to humans [76,77,78]. Aggression can be highly contextual in dogs and is a complex topic to understand [79]. Aggression directed towards humans is the most common undesirable behaviour in dogs referred to specialist behavioural clinics [38, 80, 81] and is a common cause for relinquishment of owned dogs [82, 83]. The psychological, physical and financial consequences of bite injuries make human-directed aggression an important public health and political concern [84]. Special care needs to be taken with large breeds such as GSDs where bites are more likely to cause injuries that require hospital treatment [85]. Aggression directed towards other dogs is also commonly reported problem, comprising 35% of aggression cases in Spain [38] and 7% of cases of all behavioural referrals in Denmark [81]. Aggressive characteristics in dogs can be inherited independently of other behavioural traits, suggesting opportunities to reduce these personality suites through improved breeding selection and that the domestication of the dog still is in progress [86, 87]. The current study identified that male GSDs had more than twice the prevalence of aggression compared with female GSDs. This finding offers an opportunity for veterinarians to provide evidence-based advice on sex selection to prospective GSD owners who were motivated towards pets with lower probability of aggression.

This study did have some limitations. These clinical records were not recorded primarily for clinical research and therefore overlap may have occurred between various disorder terms used [33]. Decision-making on the presentation of dogs for veterinary care was under the control of the individual owners and therefore some dogs affected with a lower severity or visibility of disease signs may not have been presented, resulting in an under-estimation of the true disease burden [52]. The quality and detail of the clinical note-taking may have varied between veterinary surgeons and therefore affected the disorder data that were extractable [88]. These results relate to the GSD population of the UK but the findings may be less generalisable to the GSDs outside of the UK where alternative genetics, management, healthcare and usage may differentially influence the clinical picture seen. The counts of overall dogs rose from the year 2000 to the year 2013 and therefore greater uncertainly will surround results of annual proportional birth rates for the earlier years than for the later years. Lower counts of dogs that died precluded the usefulness of reporting of causes of death at the fine level of diagnostic precision. Although many of the results reported in this study agree with prior beliefs and assumptions about the health of GSDs, the limited prior evidence that has supported these beliefs in the general population of GSDs in the UK justifies the relevance and importance of breed-based research such as the current study and also provide a disorder benchmark against which future studies can be compared [11].

Conclusions

This study identified that GSDs have been reducing in numbers in the UK over the past eight years. The most frequent disorders in GSDs were otitis externa, osteoarthritis, diarrhoea, overweight/obesity and aggression, whilst the most common causes of death were musculoskeletal disorders and inability to stand. Aggression was more prevalent in males than in females. These results may assist veterinarians to offer evidence-based advice at a breed level and help to identify priorities for GSD health that can improve the breed’s health and welfare.

Abbreviations

CI:

Confidence interval

EPR:

Electronic patient record

GSD:

German Shepherd Dog

IQR:

Interquartile range

KC:

Kennel Club

References

  1. 1.

    Samms S. German Shepherd Dog: A Comprehensive Guide to Owning and Caring for Your Dog. London: Kennel Club Books; 2003. 158 p.

  2. 2.

    The Kennel Club: Breed Information Centre. http://www.thekennelclub.org.uk/services/public/breed/. Accessed 23 June 2017.

  3. 3.

    Svartberg K. Shyness-boldness predicts performance in working dogs. App Anim Behav Sci. 2002;79

  4. 4.

    Benninger MI, Seiler GS, Robinson LE, Ferguson SJ, Bonél HM, Busato AR, et al. Three-dimensional motion pattern of the caudal lumbar and lumbosacral portions of the vertebral column of dogs. Am J Vet Res. 2004;65(5):544–51.

    Article  PubMed  Google Scholar 

  5. 5.

    The Kennel Club: Breed registration statistics. http://www.thekennelclub.org.uk/registration/breed-registration-statistics/. Accessed 23 June 2017.

  6. 6.

    Anonymous: Celebrations – and controversy – at the 125th Crufts dog show. Veterinary Record 2016,178(12):281.

  7. 7.

    Australian National Kennel Council: ANKC National Registration Statistics. http://ankc.org.au/AboutUs/?id=1206. Accessed 23 June 2017.

  8. 8.

    American Kennel Club: Dog Breeds: This is the official list of all American Kennel Club dog breeds. http://www.akc.org/breeds/index.cfm. Accessed 23 June 2017.

  9. 9.

    Asher L, Diesel G, Summers JF, McGreevy PD, Collins LM. Inherited defects in pedigree dogs. Part 1: disorders related to breed standards. Vet J. 2009;182(3):402–11.

    Article  PubMed  Google Scholar 

  10. 10.

    Summers JF, Diesel G, Asher L, McGreevy PD, Collins LM. Inherited defects in pedigree dogs. Part 2: disorders that are not related to breed standards. Vet J. 2010;183(1):39–45.

    Article  PubMed  Google Scholar 

  11. 11.

    Bateson P. Independent inquiry into dog breeding. Cambridge: University of Cambridge; 2010.

    Google Scholar 

  12. 12.

    Rooney N, Sargan D. Pedigree dog breeding in the UK: a major welfare concern? RSPCA: Horsham, West Sussex; 2008.

    Google Scholar 

  13. 13.

    Gough A, Thomas A. Breed predispositions to disease in dogs and cats. 2nd ed. Wiley-Blackwell: Chicester, West Sussex; 2010.

    Google Scholar 

  14. 14.

    The Kennel Club: Breed Watch booklet. London: The Kennel Club; 2016. Available from: http://www.thekennelclub.org.uk/media/341575/breed_watch_booklet.pdf. Accessed 23 June 2017.

  15. 15.

    The Kennel Club: Dog Health Group Annual Report. http://www.thekennelclub.org.uk/for-vets-and-researchers/dog-health-group-annual-report/. Accessed 23 June 2017.

  16. 16.

    Petazzoni M, Piras A, Jaeger GH, Marioni C. Correction of rotational deformity of the pes with external skeletal fixation in four dogs. Vet Surg. 2009;38(4):506–14.

    Article  PubMed  Google Scholar 

  17. 17.

    Wahl JM, Herbst SM, Clark LA, Tsai KL, Murphy KE. A review of hereditary diseases of the German shepherd dog. J Vet Behav. 2008;3(6):255–65.

    Article  Google Scholar 

  18. 18.

    Witsberger TH, Villamil JA, Schultz LG, Hahn AW, Cook JL. Prevalence of and risk factors for hip dysplasia and cranial cruciate ligament deficiency in dogs. J Am Vet Med Assoc. 2008;232(12):1818–24.

    Article  PubMed  Google Scholar 

  19. 19.

    Dobson JM. Breed-predispositions to cancer in pedigree dogs. ISRN Veterinary Science. 2013;2013(Article ID 941275):1–23.

    Article  Google Scholar 

  20. 20.

    Batchelor DJ, Noble P-JM, Cripps PJ, Taylor RH, McLean L, Leibl MA, et al. Breed associations for canine exocrine pancreatic insufficiency. J Vet Intern Med. 2007;21(2):207–14.

    Article  PubMed  Google Scholar 

  21. 21.

    Westermarck E, Saari SAM, Wiberg ME. Heritability of exocrine pancreatic insufficiency in German shepherd dogs. J Vet Intern Med. 2010;24(2):450–2.

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    Holder AL, Price JA, Adams JP, Volk HA, Catchpole B. A retrospective study of the prevalence of the canine degenerative myelopathy associated superoxide dismutase 1 mutation (SOD1:c.118G > a) in a referral population of German shepherd dogs from the UK. Canine Genet Epidemiol. 2014;1(1):10.

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Zeng R, Coates JR, Johnson GC, Hansen L, Awano T, Kolicheski A, et al. Breed distribution of SOD1 alleles previously associated with canine degenerative Myelopathy. J Vet Intern Med. 2014;28(2):515–21.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Kennedy LJ, O’Neill T, House A, Barnes A, Kyöstilä K, Innes J, et al. Risk of anal furunculosis in German shepherd dogs is associated with the major histocompatibility complex. Tissue Antigens. 2008;71(1):51–6.

    CAS  PubMed  Google Scholar 

  25. 25.

    Breit S, Künzel W. Breed specific osteological features of the canine lumbosacral junction. Ann Anat. 2001;183(2):151–7.

    CAS  Article  PubMed  Google Scholar 

  26. 26.

    Ondreka N, Amort KH, Stock KF, Tellhelm B, Klumpp SW, Kramer M, et al. Skeletal morphology and morphometry of the lumbosacral junction in German shepherd dogs and an evaluation of the possible genetic basis for radiographic findings. Vet J. 2013;196(1):64–70.

    Article  PubMed  Google Scholar 

  27. 27.

    Collins LM, Asher L, Summers JF, Diesel G, McGreevy PD. Welfare epidemiology as a tool to assess the welfare impact of inherited defects on the pedigree dog population. Anim Welf. 2010;19:67–75.

    CAS  Google Scholar 

  28. 28.

    Vilson Å, Bonnett B, Hansson-Hamlin H, Hedhammar Å. Disease patterns in 32,486 insured German shepherd dogs in Sweden: 1995–2006. Vet Rec. 2013;173(5):116.

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Egenvall A, Nødtvedt A, Penell J, Gunnarsson L, Bonnett BN. Insurance data for research in companion animals: benefits and limitations. Acta Vet Scand. 2009;51:42.

    Article  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Summers J, O'Neill D, Church D, Thomson P, McGreevy P, Brodbelt D. Prevalence of disorders recorded in Cavalier King Charles Spaniels attending primary-care veterinary practices in England. Canine Genet Epidemiol. 2015;2(1):4.

    Article  PubMed  PubMed Central  Google Scholar 

  31. 31.

    O'Neill DG, Darwent EC, Church DB, Brodbelt DC. Demography and health of Pugs under primary veterinary care in England. Canine Genet Epidemiol. 2016;3(1):1–12.

    Article  Google Scholar 

  32. 32.

    O'Neill D, Church D, McGreevy P, Thomson P, Brodbelt D. Approaches to canine health surveillance. Canine Genet Epidemiol. 2014;1(1):2.

    Article  PubMed  PubMed Central  Google Scholar 

  33. 33.

    O'Neill DG, Church DB, McGreevy PD, Thomson PC, Brodbelt DC. Prevalence of disorders recorded in dogs attending primary-care veterinary practices in England. PLoS One. 2014;9(3):1–16.

    Article  Google Scholar 

  34. 34.

    Rooney NJ, Sargan DR. Welfare concerns associated with pedigree dog breeding in the UK. Anim Welf. 2010;19:133–40.

    CAS  Google Scholar 

  35. 35.

    Buckland EL, Corr SA, Abeyesinghe SM, Wathes CM. Prioritisation of companion dog welfare issues using expert consensus. Anim Welf. 2014;23(1):39–46.

    CAS  Article  Google Scholar 

  36. 36.

    Collins LM, Asher L, Summers J, McGreevy P. Getting priorities straight: risk assessment and decision-making in the improvement of inherited disorders in pedigree dogs. Vet J. 2011;189(2):147–54.

    Article  PubMed  Google Scholar 

  37. 37.

    VetCompass: VetCompass: Health surveillance for UK companion animals. http://www.rvc.ac.uk/VetCOMPASS/. Accessed 23 June 2017.

  38. 38.

    Fatjo J, Amat M, Mariotti VM, de la Torre JLR, Manteca X. Analysis of 1040 cases of canine aggression in a referral practice in Spain. J Vet Behav. 2007;2(5):158–65.

    Article  Google Scholar 

  39. 39.

    The VeNom Coding Group: VeNom Veterinary Nomenclature. http://www.venomcoding.org. Accessed 23 June 2017.

  40. 40.

    Pearce N. Classification of epidemiological study designs. Int J Epidemiol. 2012;41(2):393–7.

    Article  PubMed  Google Scholar 

  41. 41.

    Epi Info 7 CDC: Centers for Disease Control and Prevention (US): Introducing Epi Info 7. http://wwwn.cdc.gov/epiinfo/7. Accessed 23 June 2017.

  42. 42.

    Kirkwood BR, Sterne JAC. Essential medical statistics. 2nd ed. Oxford: Blackwell Science; 2003.

    Google Scholar 

  43. 43.

    Agresti A, Coull BA. Approximate is better than “exact” for interval estimation of binomial proportions. Am Stat. 1998;52(2):119–26.

    Google Scholar 

  44. 44.

    Abdi H. Bonferroni and Šidák corrections for multiple comparisons. In: Salkind NJ, editor. Encyclopedia of measurement and statistics. 3. Thousand Oaks; London: Sage; 2007. p. 103–7.

    Google Scholar 

  45. 45.

    Downes M, Canty MJ, More SJ. Demography of the pet dog and cat population on the island of Ireland and human factors influencing pet ownership. Prev Vet Med. 2009;92(1–2):140–9.

    Article  PubMed  Google Scholar 

  46. 46.

    Adams VJ, Evans KM, Sampson J, Wood JLN. Methods and mortality results of a health survey of purebred dogs in the UK. J Small Anim Pract. 2010;51(10):512–24.

    CAS  Article  PubMed  Google Scholar 

  47. 47.

    Asher L, Buckland E, Phylactopoulos CL, Whiting M, Abeyesinghe S, Wathes C. Estimation of the number and demographics of companion dogs in the UK. BMC Vet Res. 2011;7(1):74.

    Article  PubMed  PubMed Central  Google Scholar 

  48. 48.

    Murray JK, Gruffydd-Jones TJ, Roberts MA, Browne WJ. Assessing changes in the UK pet cat and dog populations: numbers and household ownership. Vet Rec. 2015.

  49. 49.

    Anonymous: Kennel Club to review vet checks for German shepherd dogs. Veterinary Record 2016,179(8):183–4.

  50. 50.

    Sandøe P, Kondrup SV, Bennett PC, Forkman B, Meyer I, Proschowsky HF, et al. Why do people buy dogs with potential welfare problems related to extreme conformation and inherited disease? A representative study of Danish owners of four small dog breeds. PLoS One. 2017;12(2):e0172091.

    Article  PubMed  PubMed Central  Google Scholar 

  51. 51.

    Packer R, Murphy D, Farnworth M. Purchasing popular purebreds: investigating the influence of breed-type on the pre-purchase motivations and behaviour of dog owners. Anim Welf. 2017;26:191–201.

    Article  Google Scholar 

  52. 52.

    Clements D, Handel I, Rose E, Querry D, Pugh C, Ollier W, et al. Dogslife: a web-based longitudinal study of Labrador retriever health in the UK. BMC Vet Res. 2013;9(1):13.

    Article  PubMed  PubMed Central  Google Scholar 

  53. 53.

    Packer RMA, Hendricks A, Burn CC. Do dog owners perceive the clinical signs related to conformational inherited disorders as ‘normal’ for the breed? A potential constraint to improving canine welfare. Anim Welf. 2012;21(Supplement 1):81–93.

    CAS  Article  Google Scholar 

  54. 54.

    O'Neill DG, Church DB, McGreevy PD, Thomson PC, Brodbelt DC. Longevity and mortality of owned dogs in England. Vet J. 2013;198(3):638–43.

    Article  PubMed  Google Scholar 

  55. 55.

    Galis F, Van Der Sluijs I, Van Dooren TJM, Metz JAJ, Nussbaumer M. Do large dogs die young? J Exp Zool B Mol Dev Evol. 2007;308B(2):119–26.

    Article  Google Scholar 

  56. 56.

    Greer KA, Canterberry SC, Murphy KE. Statistical analysis regarding the effects of height and weight on life span of the domestic dog. Res Vet Sci. 2007;82(2):208–14.

    Article  PubMed  Google Scholar 

  57. 57.

    Patronek GJ, Waters DJ, Glickman LT. Comparative longevity of pet dogs and humans: implications for gerontology research. J Gerontol: Biol Sci. 1997;52(3):B171–B8.

    CAS  Article  Google Scholar 

  58. 58.

    Michell AR. Longevity of British breeds of dog and its relationships with sex, size, cardiovascular variables and disease. Vet Rec. 1999;145(22):625–9.

    CAS  Article  PubMed  Google Scholar 

  59. 59.

    Selman C, Nussey Daniel H, Monaghan P. Ageing: It’s a dog’s life. Curr Biol. 2013;23(10):R451–R3.

    CAS  Article  PubMed  Google Scholar 

  60. 60.

    Fleming JM, Creevy KE, Promislow DEL. Mortality in North American dogs from 1984 to 2004: an investigation into age-, size-, and breed-related causes of death. J Vet Intern Med. 2011;25(2):187–98.

    CAS  Article  PubMed  Google Scholar 

  61. 61.

    Urfer SR, Gaillard C, Steiger A. Lifespan and disease predispositions in the Irish wolfhound: a review. Vet Q. 2007;29(3):102–11.

    CAS  Article  PubMed  Google Scholar 

  62. 62.

    Salvin HE, McGreevy PD, Sachdev PS, Valenzuela MJ. The effect of breed on age-related changes in behavior and disease prevalence in cognitively normal older community dogs, Canis lupus familiaris. J Vet Behav. 2012;7(2):61–9.

    Article  Google Scholar 

  63. 63.

    Kraus C, Pavard S, Promislow DEL. The size-life span trade-off decomposed: why large dogs die young. Am Nat. 2013;181(4):492–505.

    Article  PubMed  Google Scholar 

  64. 64.

    Hielm-Björkman AK, Kuusela E, Liman A, Markkola A, Saarto E, Huttunen P, et al. Evaluation of methods for assessment of pain associated with chronic osteoarthritis in dogs. J Am Vet Med Assoc. 2003;222(11):1552–8.

    Article  PubMed  Google Scholar 

  65. 65.

    Lund EM, Armstrong PJ, Kirk CA, Kolar LM, Klausner JS. Health status and population characteristics of dogs and cats examined at private veterinary practices in the United States. J Am Vet Med Assoc. 1999;214(9):1336–41.

    CAS  PubMed  Google Scholar 

  66. 66.

    Bergvall KE, Saevik BK, Saijonmaa-Koulumies L, Holm B, Holm L, Hedhammar A, et al. Demographics and clinical picture of nonseasonal canine atopic dermatitis – observations in 63 dogs. Vet Dermatol. 2002;13(4):211–29.

    Google Scholar 

  67. 67.

    Griffin CE, DeBoer DJ. The ACVD task force on canine atopic dermatitis (XIV): clinical manifestations of canine atopic dermatitis. Vet Immunol Immunopathol. 2001;81(3–4):255–69.

    CAS  Article  PubMed  Google Scholar 

  68. 68.

    Kyriazis A. Canine hip dysplasia. Part I: Aetiopathogenesis & diagnostic approach. Hellenic J Companion Anim Med. 2016;5(1):37.

    Google Scholar 

  69. 69.

    Genevois JP, Remy D, Viguier E, Carozzo C, Collard F, Cachon T, et al. Prevalence of hip dysplasia according to official radiographic screening, among 31 breeds of dogs in France: a retrospective study. Vet Comp Orthopaed. 2008;21(1):21–4.

    Google Scholar 

  70. 70.

    Sturaro E, Menegazzo L, Piccinini P, Bittante G, Carnier P, Gallo L. Prevalence and genetic parameters for hip dysplasia in Italian population of purebred dogs. Ital J Anim Sci. 2006;5(2):107–16.

    Article  Google Scholar 

  71. 71.

    Smith GK, Mayhew PD, Kapatkin AS, McKelvie PJ, Shofer FS, Gregor TP. Evaluation of risk factors for degenerative joint disease associated with hip dysplasia in German shepherd dogs, golden retrievers, Labrador retrievers, and Rottweilers. J Am Vet Med Assoc. 2001;219(12):1719–24.

    CAS  Article  PubMed  Google Scholar 

  72. 72.

    Kathrani A, Werling D, Allenspach K. Canine breeds at high risk of developing inflammatory bowel disease in the south-eastern UK. Vet Rec. 2011;169(24):635.

    CAS  Article  PubMed  Google Scholar 

  73. 73.

    Peiravan A, Allenspach K, Boag AM, Soutter F, Holder A, Catchpole B, et al. Single nucleotide polymorphisms in major histocompatibility class II haplotypes are associated with potential resistance to inflammatory bowel disease in German shepherd dogs. Vet Immunol Immunopathol. 2016;182:101–5.

    CAS  Article  PubMed  Google Scholar 

  74. 74.

    German AJ. The growing problem of obesity in dogs and cats. J Nutr. 2006;136(7):1940S–6S.

    CAS  PubMed  Google Scholar 

  75. 75.

    Lund EM, Armstrong PJ, Kirk CA, Klausner JS. Prevalence and risk factors for obesity in adult dogs from private US veterinary practices. Int J Appl Res Vet Med. 2006;4(2):177–86.

    Google Scholar 

  76. 76.

    Gershman KA, Sacks JJ, Wright JC. Which dogs bite? A case-control study of risk factors. Pediatrics. 1994;93(6):913.

    CAS  PubMed  Google Scholar 

  77. 77.

    Cornelissen JMR, Hopster H. Dog bites in The Netherlands: a study of victims, injuries, circumstances and aggressors to support evaluation of breed specific legislation. Vet J. 2010;186(3):292–8.

    Article  PubMed  Google Scholar 

  78. 78.

    O'Sullivan E, Jones B, O’Sullivan K, Hanlon A. Characteristics of 234 dog bite incidents in Ireland during 2004 and 2005. Vet Rec. 2008;163(2):37.

    Article  PubMed  Google Scholar 

  79. 79.

    Svartberg K, Forkman B. Personality traits in the domestic dog (Canis familiaris). Appl Anim Behav Sci. 2002;79(2):133–55.

    Article  Google Scholar 

  80. 80.

    Bamberger M, Houpt KA. Signalment factors, comorbidity, and trends in behavior diagnoses in dogs: 1,644 cases (1991–2001). J Am Vet Med Assoc. 2006;229(10):1591–601.

  81. 81.

    Lund JD, Agger JF, Vestergaard KS: Reported behaviour problems in pet dogs in Denmark: age distribution and influence of breed and gender. Prev Vet Med 1996,28(1):33–48.

  82. 82.

    Lambert K, Coe J, Niel L, Dewey C, Sargeant JM. A systematic review and meta-analysis of the proportion of dogs surrendered for dog-related and owner-related reasons. Prev Vet Med. 2015;118(1):148–60.

  83. 83.

    Diesel G, Brodbelt D, Pfeiffer DU. Characteristics of relinquished dogs and their owners at 14 rehoming centers in the United Kingdom. J Appl Anim Welf Sci. 2009;13(1):15–30.

    Article  Google Scholar 

  84. 84.

    Casey RA, Loftus B, Bolster C, Richards GJ, Blackwell EJ. Human directed aggression in domestic dogs (Canis familiaris): occurrence in different contexts and risk factors. Appl Anim Behav Sci. 2013.

  85. 85.

    Overall KL, Love M. Dog bites to humans—demography, epidemiology, injury, and risk. J Am Vet Med Assoc. 2001;218(12):1923–34.

    CAS  Article  PubMed  Google Scholar 

  86. 86.

    Saetre P. The genetic contribution to canine personality. Genes Brain Behav. 2006;5(3):240.

    CAS  Article  PubMed  Google Scholar 

  87. 87.

    Svartberg K. Breed-typical behaviour in dogs—historical remnants or recent constructs? Appl Anim Behav Sci. 2006;96(3):293–313.

    Article  Google Scholar 

  88. 88.

    Robinson NJ, Dean RS, Cobb M, Brennan ML. Factors influencing common diagnoses made during first-opinion small-animal consultations in the United Kingdom. Prev Vet Med. 2016;131:87–94.

    CAS  Article  PubMed  Google Scholar 

Download references

Acknowledgements

Thanks to Noel Kennedy (RVC) for VetCompassTM software and programming development. We acknowledge the Medivet Veterinary Partnership, Vets4Pets/Companion Care, Blythwood Vets, Vets Now and the other UK practices who collaborate in VetCompassTM. We are grateful to The Kennel Club, The Kennel Club Charitable Trust and Dogs Trust for supporting VetCompassTM.

Availability of data and materials

The datasets generated and analysed during the current study are not publicly available due to their use in ongoing primary research but subsections may be made available from the corresponding author on reasonable request.

Funding

DON is supported at the RVC by an award from the Kennel Club Charitable Trust. Neither the Kennel Club Charitable Trust nor the Kennel Club had any input in the design of the study, the collection, analysis and interpretation of data or in writing the manuscript should be declared.

Authors’ contributions

All authors made substantial contributions to conception and design, acquisition and extraction of data, and to analysis and interpretation of the results. All authors were involved in drafting and revising the manuscript and gave final approval of the version to be published. Each author agrees to be accountable for all aspects of the accuracy or integrity of the work.

Competing interests

DON is supported at the RVC by an award from the Kennel Club Charitable Trust. The remaining authors have no conflicts of interest to declare.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Ethical approval was granted by the RVC Ethics and Welfare Committee (reference number 2016/U40).

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information

Affiliations

  1. Pathobiology and Population Science, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Herts, AL9 7TA, UK

    Dan G. O’Neill & Dave C. Brodbelt

  2. The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Herts, AL9 7TA, UK

    Noel R. Coulson

  3. Clinical Sciences and Services, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Herts, AL9 7TA, UK

    David B. Church

Authors
  1. Dan G. O’Neill
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Noel R. Coulson
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. David B. Church
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Dave C. Brodbelt
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dan G. O’Neill.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

O’Neill, D.G., Coulson, N.R., Church, D.B. et al. Demography and disorders of German Shepherd Dogs under primary veterinary care in the UK. Canine Genet Epidemiol 4, 7 (2017). https://doi.org/10.1186/s40575-017-0046-4

Download citation

Keywords

  • VetCompassTM
  • Electronic patient record
  • Breed
  • Primary-care
  • Pedigree
  • Purebred

Canine Medicine and Genetics

ISSN: 2662-9380