Ethical approval
Ethical approval for animal use was obtained from the University of Bristol AWERB (VIN/17/005), and ethical approval for recruitment and participation of members of the public (dog owners) was obtained from the University of Bristol Faculty of Health Sciences Research Ethics Committee (Application Ref: 31623)
Animals
Forty-one dogs were recruited via a social media campaign and poster and leaflet placement within veterinary clinics in Bristol and North Somerset. All recruited dogs had been neutered and 20 (12 females, 8 males) were assigned to the osteoarthritis group with a further 21 (6 females, 15 males) making up the control (non-osteoarthritis) group. Allocation to groups was based on clinical histories and clinical examination of the dogs as described below. Further information on the subjects is presented in Table 1.
Apparatus
The disappearing object task apparatus comprised four identical cuboidal open-backed wooden boxes (30cm high, 20cm wide, 15cm deep) each containing one of four identical carrier bags of 800g aquarium gravel for weighting. A transportable barrier to prevent the dog seeing the boxes at certain times during the task was constructed from a folding two-panel laundry airer (each panel 102cm high*62cm long) covered with opaque black plastic sheeting. These pieces of apparatus were arranged as shown in Fig. 1.
The object to be hidden consisted of either a tennis ball or squeaky rubber ring toy attached to a 125cm long, 1mm thick transparent nylon thread. All equipment was cleaned between uses with F10 disinfectant spray (Health and Hygiene (Pty) ltd., Florida Hills, South Africa).
Procedure
The task was performed in each owner’s own home by two experimenters, E1 and E2. A clinical examination including an orthopaedic examination of all appendicular joints was performed on each dog by a veterinary surgeon (E1: MS). A clinical history was also taken from each owner regarding any clinical signs of osteoarthritis or potential signs of other health problems. This information was used to assign each dog to the osteoarthritic or healthy control group. Both the dog’s owner and veterinary surgeon were independently asked to score the severity of the dog’s clinical signs of osteoarthritis as “none”, “mild”, “moderate” or “severe”.
The disappearing object task apparatus was set up and the dog was then shown both object types (tennis ball and rubber ring). The object that was most preferred by the dog was selected for use, according to E1’s subjective opinion (based on initial object approached, relative duration of interaction with each object and presence of tail-wagging and jumping behaviours). One osteoarthritic dog showed no interest in either object and so their own preferred toy (a blue plastic ring) was used instead.
The test procedure was adapted from that of Fiset et al. (2003; see also Smith et al. 2021) and consisted of three phases, shown in Table 2. In each trial, E2 held the dog by the collar whilst E1 placed the object in the required position (see Table 2) and returned to the position indicated in Fig. 1, before E2 released the dog. In the shaping phases, the dog received a reward (food, verbal praise and petting) when they touched the object with their nose, mouth or paw, and were then led back to the start point by E2 ready for the next trial. In the training and testing phases, the object was held by a string and moved in front of all boxes and then behind the target box (i.e. if the target box was box 3 or 4, the object was moved in front of boxes 1, 2, 3 and 4 and then behind the target box; if the target box was 1 or 2 the object was moved in front of boxes 4, 3, 2 and 1 and then behind the target box). The dog was able to observe the object being positioned and then the opaque barrier was placed in front of the dog (as shown in Fig. 1) for a specified memory retention interval (0s during training; 0, 60 or 120s during testing). The barrier was then removed and the dog was released with E1 looking towards the back of the test area (away from the boxes) and E2 looking towards E1 so as not to provide any visual cues as to the location of the object. If, following release, the dog visited (looked behind) the target (correct) box, they received a reward and were then led back to the starting position by E2 ready for the next trial. If the dog visited a box other than the target box or did not visit any box within 60s of release, they received no reward and were led by E1 back to the starting position ready to begin the next trial. Dogs were not allowed to visit more than one box per trial.
The testing phase involved three trials for each box, one per memory retention interval of 0, 60 and 120 seconds (based on Smith et al. (2021)), in order to vary the difficulty of the task and assess whether and how the retention interval affected the success rates of osteoarthritic and control dogs. The target box and interval used on each trial was pseudorandomly generated using the RAND() function in Microsoft Excel, such that each combination of box and interval occurred once and the same target box or interval did not occur in two consecutive trials. On each trial, the first box visited was recorded and noted as either a ‘success’ (correct box) or ‘fail’ test outcome.
During each home visit, owners were instructed to complete four questionnaires: the Helsinki Chronic Pain Index (HCPI) (Hielm-Björkman et al. 2009) and Canine Brief Pain Inventory (CBPI) (Brown et al. 2008) to assess the owner’s subjective opinion of their dog’s chronic pain; the Sleep and Night Time Restlessness Evaluation (SNoRE) to assess their dog’s sleep quality (Knazovicky et al. 2015) (as impaired sleep is common in human chronic pain disorders (Menefee et al. 2000) and may impair working memory (Chee and Choo 2004; Steenari et al. 2003)); the Canine Cognitive Dysfunction Rating Scale (CCDR) (Salvin et al. 2011) to screen dogs for clinical signs of age-related cognitive decline which could adversely affect task performance.
Data analysis
Data were analysed using mixed-effects logistic regression in R, using the lme4::glmer() function with the ‘binomial’ family specification. Model estimates were based on an adaptive Gaussian Hermite approximation with 100 integration points.
The success/failure of the dog on each trial during the testing phase was the binary outcome variable in all models. Initial univariable models are commonly performed for selection of factors to include in a final model (for example: Alves et al. 2002; Bogaert et al. 2005; Kooby et al. 2003). However, in this study, the interaction of each variable (shown in Supplementary Table S1) with group (osteoarthritis/control) was considered of greater importance than the main effect of each variable. Therefore, each initial model contained not only the variable of interest but also group and the interaction between variable and group, such that variables with a significant group*factor interaction would be detected regardless of whether the main effect was significant. Vet and owner-assigned severity scores and analgesia-related factors were added to initial models alone without assessing an interaction with group, since all control dogs and no osteoarthritic dogs had a vet-assigned severity score of ‘none’, all control dogs and only one osteoarthritic dog had an owner-assigned severity score of ‘none’, and no control dogs were receiving analgesia. The Quality of Life score on the CBPI was transposed to a number with “poor” given a score of 0 and “excellent” given a score of 4. ‘Dog id’ was included as a random effect. All models were performed on trial-level data (success vs failure).
All fixed-effect variables where p<0.1 for the main effect or effect of interaction between that variable and group were selected for addition to the final multivariate model along with their interaction with group, and all fixed-effect variables where p<0.05 for the final model were considered statistically significant. Where significant results were obtained for interactions between factors, Mann-Whitney U tests were used to compare combinations of individual factor levels because these data were non-normal. For statistically significant continuous variables, predicted probabilities of success were estimated using the multivariate model and the equations of regression lines obtained. Mann-Whitney U-tests were used to compare continuous signalment variables between groups.