Abstract
The dog has been suggested as a possible model for personality development over the lifespan, however, we know little about how aging may shape their personality or the magnitude of age-related changes. Previously we established that aging influences multiple dog demographics, which could also affect how personality traits change across different age periods. A demographic questionnaire and the Dog Personality Questionnaire were completed for a cross-sectional sample of 1,207 adult dogs living in Hungary (Mage = 7.71, SD = 4.12), split into six different age groups. Results revealed three of the five factors showed significant age effects. Activity/Excitability decreased with age, and whilst Responsiveness to training also decreased, only dogs older than 12 years differed significantly from the other groups. Aggressiveness toward animals showed a quadratic trajectory peaking in dogs aged 6–10 years. The greatest magnitude of age-related change was detected between late senior and geriatric ages, likely caused by compensatory behavioral changes to biological aging and owner attitudes to aging. When the models were re-run including the other explanatory variables, age group was no longer significant for the Responsiveness to training trait. The amount of time spent interacting/playing with the owner partially mediated the relationship between age and this trait, implying that interventions to increase play and training motivation may alleviate the negative effects of aging on dogs' trainability. Fifteen out of 28 explanatory variables were significantly associated with at least one of the five factors [weight, breed (pure/mixed breed), sex, off-leash activity, diet, previous trauma, age of dog when arrived in the household, play, dog training activities, number of known commands and dog obedience tasks]. Similarly to humans, dogs that had previously experienced trauma scored higher in fearfulness and aggression. A higher level of basic obedience was linked to some desirable dog personality traits (lower Fearfulness and Aggression, and higher Activity/Excitability and Responsiveness to training). Regardless of the direction of this relationship, obedience is an important aspect contributing to dog personality questionnaires and the dog-owner relationship. This study is unique in that it considered a wide variety of demographic variables which are influenced by aging.
Introduction
Although personality is defined as “behavioral differences that are stable across time and situations,” there is substantial cross-sectional evidence for mean personality trait change across the lifespan in humans (). People tend to show increased self-confidence, warmth, self-control, and emotional stability with age, with changes occurring during young adulthood, middle age, and old age. Previous studies have also indicated substantial individual differences in changes; individuals display unique patterns of development at all life stages, which appear to be the result of specific life experiences (). Work, marital, family, and educational experiences can all lead to changes in personality traits (–).
Cross-species comparison have been used to examine the origins and adaptive significance of specific personality traits. For example, Gosling and John () used the human Five factor model (FFM: openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism) to compare the personality factors of dogs and 11 other non-human species. They found four of the five factors, and the canine analogs were labeled: Energy (analogous to human Extraversion), Affection (human Agreeableness), Emotional Reactivity (human Neuroticism), and Intelligence (human Openness/Intellect). The dog has been suggested as a possible model for human personality development, and the influence of personality on health (–). Dogs are observed by their owners on a daily basis, and biological, psychological, social, and health related events are often recorded. Their lifespan is much shorter than ours is, which means developmental studies can be performed in a shorter timeframe. Dogs share an evolutionary and developmental history with humans due to domestication. They are present in many households and are subject to the same environmental conditions. Thus, they can be tested using the same observations and experimental protocols (). The high genetic variability and differing environmental experiences found in pet dogs makes them a good candidate to study individual differences and personality ().
However, we know little about how aging and experience may shape personality in pet dogs (). Over the last 20 years, much research has focused on studying personality in dogs, as they are common household pets around the world, and play important roles in human society, such as guide dogs, assistance dogs, therapy dogs, military and police dogs, and search and rescue dogs. The number of publications on personality in dogs has increased from roughly one per year in the late nineties to a current average of eight publications per year (Google scholar title word search). By far the most common method to assess personality in dogs is through owners' or care-takers individual ratings of individuals' personality traits on a Likert scale [with 1 being the least likely to exhibit the trait, and 5, or 7 as being the most likely (reviewed in Gartner ()]. Evidence suggests that data collected through questionnaires can be accurate and consistent (, ) with demonstrated reliability and validity (, –). Owners can draw on their experience from a wide range of contexts and situations when they answer questions regarding their dogs' personality, while test batteries are strongly affected by the context in which they are performed, and do not necessarily reflect the dogs' behavior on a day-to-day basis. The most commonly used questionnaires include the Canine Behavioral Assessment and Research Questionnaire (C-BARQ) (), the Monash Canine Personality Questionnaire (MCPQ/MCPQ-R) (, ), and the Dog Personality Questionnaire (DPQ) ().
Most studies have concentrated on the early development up to 2 years, the predictability of certain early behavioral characteristics on adult behavior, or on senior and geriatric populations (–). Early experience has been found to have a long-term effect on the personality of dogs (–). Additionally, several studies have established differences in personality between individuals belonging to dog breeds or breed groups (–), as well as between the typical personality of pure breed and mixed breed dogs ().
Besides the effects of early experience and breed, the most commonly reported factors that have been found to influence personality in dogs are age, sex, and reproductive status (). Regarding age effects, younger dogs show higher boldness (), sociability (), companionability, energy, excitability, playfulness, active engagement (), extraversion (), and attentiveness (, ). The literature is contradictory about anxiety; while older dogs show higher calmness () and lower anxious/destructive behavior than younger dogs (), neuroticism (a general measurement of fearfulness) was found to correlate positively with age (). Touch sensitivity, fear of handling, fear of noises (, ), human and object fear (), aggression toward dogs, and owner directed aggression (, ) also increase with age.
Inconsistencies may be due to the fact that different methods were used to obtain the trait scores, including one-word adjectives, complete sentence descriptions (with examples to set the trait in context), and/or different age-based groupings and age ranges of the samples. In addition, nearly all studies reported only linear age relationships, and many had only small effect sizes. The studies listed above did not look for quadratic relationships with age, and in most cases, only a few age groups were compared. Therefore, more detailed questionnaire studies regarding the influence of aging on mean level personality traits are necessary, particularly as the majority of past studies typically examined only a few personality traits, used dogs in working contexts, or only specific breeds, and only a handful of studies investigated dogs of all life stages (particularly those over 4 years of age). One recent study by Chopik and Weaver (), is the first to use the validated Dog Personality Questionnaire (DPQ) () to examine the degree to which dog personality differs by age (including testing for quadratic relationships) whilst controlling for age differences in sex, breed (pure breed or mixed breed), reproductive status (intact/neutered), whether the dog has attended obedience training, and whether the owner trains their dog themselves or not. Although the sample was heavily biased toward undergraduate students (70% of the sample) and neutered dogs (87%), nevertheless a significant linear age effect was found for the factor Activity/Excitability, and quadratic effects were found for Responsiveness to training and Aggression toward animals. Older dogs were less active/excitable compared to younger dogs, and responsiveness to training and aggression toward other animals was highest among 6–8-year-old dogs.
Sex effects have been reported in 38% of studies [reviewed in Gartner ()], however, reports are often conflicting. In general, results show that males have higher aggression (, , , ) and boldness (, ) and lower sociability () than females. Conversely, female dogs have higher fearfulness (, ), and lower dominance over dogs than males (). Neuter status often complicates sex effects, due to the absence or presence of hormones. Intact dogs were found to be bolder () than neutered dogs. In addition, neutered dogs were found to be less calm (), more aggressive, excitable and anxious () than entire male and female dogs. In one study, entire male Labrador retrievers showed higher owner aggression, and entire females higher trainability (). The results of sex effects on personality are inconsistent, so further investigations are necessary with larger sample sizes, to clarify the patterns found, and determine the importance of sex effects in relation to other biological and environmental influences.
So far, personality differences have also been described with regards to coat color (), body size [dog height is negatively associated with neuroticism, and positively with amicability (shorter dogs are considered more fearful and less sociable (, ))], training history [the most calm, trainable and sociable dogs were found to be those that have participated in three or more types of professional training ()], and owner experience [experienced owners tend to have calmer and more trainable dogs ()]. Several studies have even found correlations between the owner's and their dog's questionnaire-assessed personality traits (, , ).
Studies examining how behavior changes with age and/or breed, rarely take into account lifestyle demographic factors, which have the potential to influence both test battery and questionnaire results (, ). For example, environmental factors (such as housing condition; living in a flat, house, and/or garden) can mask, or even enhance genetically potentiated breed differences in personality (). Physiological changes with age in the dog may also have an effect on the dogs' perceived personality. Starling et al. () suggested that a sharp decrease in the personality trait boldness, in dogs aged over 13 years might be explained by age-related degenerative conditions, such as arthritis. Older dogs may suffer from physical pain and discomfort, which may cause them to take fewer risks and to become less inclined to interact with other dogs or people. Therefore, when examining personality in dogs over all life stages, it is important to include a wide range of dog demographic, health, and environmental factors.
The aim of this study was to investigate the effects of age on personality in a cross-sectional Hungarian sample. Additionally, we explored which other factors are associated with dog personality. We measured personality using the Dog Personality Questionnaire (DPQ) (), as it has been shown to demonstrate reliability and validity, and has been used in numerous studies to measure personality in dogs via owner report (, –). Additionally, it has been found to be the more reliable and trustworthy questionnaire in comparison to C-BARQ and MCPQ-R (), and it achieved a slightly higher average mean consensus estimate of inter-rater reliability than the MCPQ-R (0.54 vs. 0.45) (). From previous studies, we predicted a strong influence of dog age on dog personality. Since few studies report the magnitude of age-related change, we analyzed how much the personality traits change across different age periods (mean-level changes) and explore at what age changes in personality traits most prominently occur. Additionally, Purebred dogs were predicted to be rated as less fearful and aggressive than mixed breeds, male dogs less fearful and more aggressive than females, reproductively intact dogs less fearful than neutered, and finally, shared activities and training was predicted to increase responsiveness to training and decrease fearfulness and aggression.
Methods
Ethical Statement
Data were collected from Hungarian dog owners via an online questionnaire. Owners gave their informed consent for the data to be used for scientific purposes in an introductory letter, before filling out the questionnaire voluntarily and anonymously.
Subjects
One thousand three hundred and sixty five Hungarian dog owners filled out an online questionnaire, which was advertised on the Eötvös Loránd University Department of Ethology's homepage (http://kutyaetologia.elte.hu), on the Facebook page “Családi Kutya Program,” and on the group “Kutyaetológia.” The questionnaire was available from the middle of May to the beginning of July 2016. Dogs aged under 1 year were excluded from the full sample of 1365, as previous research has suggested that their behavior does not remain stable over time (). Duplicate entries and entries with missing information were deleted, which resulted in data from a total of 1207 individual dogs. The final sample consisted of 66% pure breeds, 54% females, of which 17% were intact, and 37% were neutered (26% intact males and 20% neutered males). The descriptive statistics of the sample are presented in Table 1.
Table 1
| Breed | Total count (%) | SexN(%) | Age in months (Mean ± SD) | Weight in kg (Mean ± SD) | Height in cm (Mean ± SD) | |
|---|---|---|---|---|---|---|
| Male | Female | |||||
| Mixed breeds | 417 (34.5) | 192 (15.9) | 225 (18.6) | 97.50 ± 51.05 | 20.10 ± 11.02 | 43.41 ± 13.15 |
| Pure breeds | 790 (65.5) | 365 (30.2) | 425 (35.2) | 89.80 ± 48.36 | 21.13 ± 13.88 | 43.56 ± 15.33 |
| Grand total | 1207 | 557 (46.1) | 650 (53.9) | 92.46 ± 49.42 | 20.77 ± 12.97 | 43.51 ± 14.61 |
Descriptive statistics of the subjects, including sex, age, breed group, weight, and height information.
Procedure
The on-line questionnaire contained three sections—the demographic data of the dogs and their owners, questions relating to the dogs' personality, and questions concerning possible age-related changes in cognition, impulsivity and interspecific communication (results from this final questionnaire are presented in a forthcoming publication). The “Demographic Questionnaire” collected basic information regarding the demographic attributes of the dog and the owner and social attributes of their interactions. Details from the demographic questionnaire were previously reported in Wallis et al. (), where we examined the descriptive statistics of the variables, and whether the proportion of the dogs allocated to each category of the demographic variables varied among the dog age groups. Three continuous variables were collected from the owners: the dog's current weight (in kg), height at the shoulder (in cm), and age (in months) (Table 1). The rest of the variables were categorical, and the main descriptive statistics of the subset of 1207 dogs and their owners are presented in Table S1. In addition to reporting the age in months of the dogs, we also allocated the dogs to six age groups, which would allow us to examine non-linear relationships with age. For the age classifications we used: early adulthood (>1–3 years) N = 185, middle age (>3–6 years) N = 251, late adulthood (>6–8 years) N = 191, senior (>8–10 years) N = 202, late senior (>10–12 years) N = 170, and geriatric (>12 years) N = 208. These age groups were similar to those used in Wallis et al. (), reflecting the developmental periods in the Border collie.
To measure dog personality traits, we used the “Dog Personality Questionnaire” (DPQ) as it has been shown to demonstrate reliability and validity, and has been used in numerous studies to measure personality in dogs via owner report (). For details of the items used, please refer to Table S2.
Statistical Analysis
Generation of Factor Scores and Assessment of Reliability
We used the short form of the DPQ, which consisted of 45 items that made up a five-factor solution. We translated the questionnaire into Hungarian, and then back translated into English, to ensure that each items content was preserved. Instead of using a Likert scale with 7 options [as was used in Jones ()], we simplified the available responses, by reducing the scale to 5 possibilities, in harmony with the other scales of the questionnaires utilized. Owners scored the amount they agreed with each statement from 1—I do not agree at all with the statement, to 5—I fully agree. To calculate the facet and factor scores we used the Scoring Key for the DPQ Short Form provided by the author. The scores for each relevant raw item were averaged to create the facet scores. The factor scores were produced by averaging the scores of the facets that made up each specific factor. If one item score was missing, then no facet or factor score was calculated for that individual. The five factors were labeled by Jones as “Fearfulness, Aggression toward People, Aggression toward Animals, Activity/Excitability, and Responsiveness to Training.” Cronbach's alpha was calculated to assess the internal reliability of the extracted factors (). The five factors were divided into facets: “Fearfulness” was composed of “Fear of people,” “Non-social fear,” “Fear of dogs” and “Fear of handling.” “Aggression toward people” was divided into “General aggression” and “Situational aggression.” “Activity/Excitability” was divided into “Excitability,” “Playfulness,” “Active engagement” and “Companionability.” “Responsiveness to training” was composed of “Trainability” and “Controllability.” The last factor, “Aggression toward animals,” contained “Aggression toward Dogs,” “Prey Drive” and “Dominance over Other Dogs” (). Please see Supplementary Materials for a copy of the questionnaire and scoring key (Tables S2, S3), and for results of the age analyses of the facets.
Correlations between the factor scores were calculated using Spearman's rho as the data were not normally distributed. Results are displayed in Table S4.
Statistical Models to Determine the Effects of the Demographic Variables
Statistical analyses were run on the reduced dataset of 1,207 individuals and performed in R 3.3.2 (). The five factors from the DPQ were transformed using the boxcox power transformation [Package “MASS,” ()] to fulfill the assumptions of normality and homogeneity of variance. Separate linear models were first calculated with age as a categorical variable to look for specific differences between age groups on the five factors of the DPQ. Post hoc Tukey tests were run when significant age group differences were found (p values were adjusted for multiple comparisons using the single-step method. “Single-step” implements adjusted p values based on the joint normal or t distribution of the linear function). Mean level changes across the different age periods are reported, including a brief discussion of the age periods when changes in personality traits predominately occur. Then additional models were run with weight and height included as covariates, and all of the rest of the variables as fixed factors (age group, breed, sex, neuter status, sensory problems, off-leash activity, body condition score, food, vitamins, trauma, health problems, medication, owner age, owner experience, how many other dogs in household, how many people in household, child, dog age when arrived, get dog, where dog is kept, dog obedience tasks, play, commands, dog training activities, time spent alone, and dog behavior changed (for descriptions of categories see Table S1). The aim of these linear model analyses was to investigate (1) associations between personality traits and the investigated variables (e.g., demographics of both dog and owner), and (2) to examine whether the behavioral differences between the dog age groups remained significant after controlling for the differences in the other explanatory variables. Due to the large number of predictors used in the models (28 explanatory variables in total), only main effects were analyzed, and we did not examine interactions.
Normality and homoscedasticity were assessed via residuals' distribution charts and plots of residuals against fitted values. Due to the large number of variables retained in the models, the Benjamini–Hochberg procedure was utilized to control for the false discovery rate [FDR, ()]. Most of the categorical variables used were ordinal, which allowed group comparisons to the smallest or lowest category. However, post hoc Tukey tests were run on the nominal variables where significant group differences were found (again p values were adjusted for multiple comparisons using the single-step method). Results are detailed in Table S4. To analyse the effect of outliers, any outliers of z scores of > ± 3 were removed from the analysis, and the models re-run.
A mediation model was proposed in order to better explain the mechanism or process that underlies the relationship between personality and dog age, if a previously significant age effect was no longer detectable in the second model including the other explanatory variables. Please note that mediation analysis does not imply a causal relationship. In the case where multiple significant explanatory variables were present in the model, we chose the variable that had the greatest variance explained by dog age [this was determined previously in Wallis et al. ()]. By implementing the Mediation package in R () we estimated the average causal mediation effect (ACME) and the average direct effect (ADE). First, we fitted the mediator model, where the measure of the relevant explanatory variable is modeled as a function of dog age group and confounding variables [weight, height, breed, sex, neuter status, etc. (see Table 4 for full list of final model variables)]. Next, we modeled the outcome variable, including the mediator, age group, and the same set of confounding variables as those used in the mediator model. We then used the mediate function to estimate the ACME and ADE. The default simulation type [the quasi-Bayesian Monte Carlo method based on normal approximation ()] was used, with White's heteroskedasticity-consistent estimator for the covariance matrix from the sandwich package [vcovHC; ()] by setting the robustSE argument to TRUE.
Results
Generation of Factor Scores and Assessment of Reliability
The internal consistency (Cronbach's alpha) of the five questionnaire factors in the current sample ranged from 0.71 to 0.78 (Fearfulness 0.770, Aggression toward people 0.774, Activity/Excitability 0.758, Responsiveness to training 0.714, and Aggression toward animals 0.729). This confirmed that the translation of the questionnaire from English to Hungarian, and the modification of the rating scale (from a 7 point to a 5-point Likert scale) did not cause marked changes in the factors' structure. The Cronbach's alpha values from the original study ranged from 0.73 to 0.84 (Fearfulness 0.838, Aggression toward People 0.742, Activity/Excitability 0.728, Responsiveness to Training 0.771, and Aggression toward Animals 0.748).
Descriptive Information of the Canine Personality Factors
The means, standard deviations, ranges, minimum scores, maximum scores and percentiles for each of the personality factors are shown in Table 2. The Fearfulness and the Aggression toward people factors were positively skewed, with half of the dogs scoring between 1.83 and 2.75 for Fearfulness, and between 1.17 and 2.17 for Aggressiveness toward people. Activity/Excitability and Responsiveness to Training were the most negatively skewed of the factors, with half the dogs scoring between 3.08 and 4.00 for Activity/Excitability, and 3.00 and 4.17 for Responsiveness to Training. At least one dog obtained the maximum score possible on each of the five factors, apart from for Fearfulness. The largest range of scores was obtained for the Responsiveness to training and the Aggression toward people factors while the Fearfulness factor had the smallest range.
Table 2
| DPQ Factors | |||||
|---|---|---|---|---|---|
| Fearfulness | Aggression toward People | Activity/Excitability | Responsiveness to Training | Aggression toward Animals | |
| N | 1,172 | 1,184 | 1,158 | 1,185 | 1,173 |
| Mean (%) | 2.32 | 1.80 | 3.51 | 3.61 | 2.69 |
| Std. deviation | 0.68 | 0.78 | 0.63 | 0.82 | 0.77 |
| Minimum (%) | 1.00 | 1.00 | 1.08 | 1.00 | 1.00 |
| Maximum (%) | 4.33 | 5.00 | 5.00 | 5.00 | 5.00 |
| Range | 3.33 | 4.00 | 3.92 | 4.00 | 4.00 |
| 25% Percentile | 1.83 | 1.17 | 3.08 | 3.00 | 2.11 |
| 50% Percentile | 2.25 | 1.50 | 3.58 | 3.67 | 2.67 |
| 75% Percentile | 2.75 | 2.17 | 4.00 | 4.17 | 3.22 |
Number of subjects, mean, standard deviation, minimum, maximum, range, and quartiles of the Dog Personality Questionnaire factor scores.
Linear Models: Main Effect of Age
Linear models were run to examine the effect of dog age group on the five DPQ factors. Results revealed a significant effect of age group on Activity/Excitability, which explained 18% of the variance, Responsiveness to training, with 4% variance explained, and Aggressiveness to animals, at only 2% variance explained. Fearfulness and Aggressiveness toward humans had no relationship with dog age (F = 1.35, P = 0.443; F = 0.88, P = 0.493, respectively). Activity/Excitability showed a strong negative linear relationship with age, all dog age groups differed significantly from age group 1 (1–3 year olds). Responsiveness to training was highest in 3–6 year olds, and there was a tendency for Responsiveness to training to decrease from age 10, however, only dogs aged above 12 years (age group 6) had significantly lower scores than dogs aged 1–3 years. Aggressiveness toward animals showed a quadratic distribution with age. Dogs aged between 6 and 10 years (age groups 3 and 4) had significantly higher scores than dogs aged 1–3 years (Table S5 and Figures 1A–C below).
Figure 1
Regarding the magnitude of age-related change in personality, Table 3 reports how much each of the three personality traits changed across the different age periods (mean-level changes). Z scores are presented for ease of interpretation. The greatest mean-level change (decrease) in Activity/excitability was found in middle age in comparison to early adulthood, followed by the change between late senior and geriatric. Responsiveness to training showed the greatest mean level change between late senior and geriatric, with a significant drop in score. Finally, although there were no significant differences between the sequential age groups in Aggression toward animals, the greatest mean level change (increase) occurred between middle age and late adulthood.
Table 3
| DPQ Factor | Early adult (>1–3 years) | Middle age (>3–6 years) | Late adult (>6–8 years) | Senior (>8–10 years) | Late senior (>10–12 years) | Geriatric (>12 years) | Life-long change | |
|---|---|---|---|---|---|---|---|---|
| Activity | N | 178 | 241 | 182 | 192 | 162 | 201 | |
| Mean | 0.692 | 0.285 | 0.048 | −0.101 | −0.286 | −0.672 | – | |
| SD | 0.794 | 0.845 | 0.933 | 0.829 | 0.953 | 1.063 | – | |
| M2–M1 | – 0.407 | −0.237 | −0.149 | −0.185 | −0.386 | −1.364 | ||
| T | – 4.826 | −2.659 | −1.725 | −1.776 | −3.763 | – | ||
| P | <0.001 | 0.084 | 0.515 | 0.481 | 0.003 | – | ||
| Responsiveness to training | N | 180 | 241 | 182 | 192 | 162 | 201 | – |
| Mean | 0.072 | 0.166 | 0.129 | 0.113 | −0.104 | −0.405 | – | |
| SD | 0.999 | 0.983 | 1.015 | 0.972 | 0.945 | 0.971 | – | |
| M2–M1 | 0.094 | −0.036 | −0.017 | −0.217 | −0.300 | −0.477 | ||
| T | 0.983 | −0.368 | −0.205 | −2.150 | −2.884 | – | ||
| P | 0.923 | 0.999 | 1.000 | 0.262 | 0.046 | – | ||
| Aggression toward animals | N | 177 | 244 | 184 | 198 | 166 | 202 | – |
| Mean | -0.117 | -0.069 | 0.189 | 0.195 | −0.034 | −0.150 | – | |
| SD | 0.936 | 1.016 | 1.030 | 0.992 | 0.934 | 1.024 | – | |
| M2–M1 | 0.049 | 0.258 | 0.006 | −0.229 | −0.116 | −0.032 | ||
| T | 0.376 | 2.728 | 0.060 | −2.093 | −1.284 | – | ||
| P | 0.999 | 0.070 | 1.000 | 0.291 | 0.793 | – |
Results of the linear models of the three PCA factors of the DPQ where a significant relationship with age group was found.
Here only the sequential relationships are presented, i.e., middle age in comparison to early adult, late adult in comparison to middle age etc. N, Number of subjects; Mean, Mean z score; SD, Standard deviation; M2–M1, Difference between the preceding and current age group z score means; T, T value; and P, Adjusted p values (Turkey contrasts for multiple comparisons of means). Bold type indicates p < 0.05.
Finally, we also examined how age influenced each individual Facet of the DPQ, and since none were normally distributed, and transformations did not result in normalized residuals, we performed non-parametric Kruskal Wallis Tests to look for differences between age groups. Significant age effects were found in the following 11 facets (out of 15): Fear of people, Non-social fear, Excitability, Playfulness, Active engagement, Companionability, Trainability, Controllability, Aggression toward animals, Prey drive and Dominance over dogs (all p < 0.003; Figures S1A–K). Fear of people peaked in dogs aged three to 6 years and was lowest in dogs aged over 10 years. Non-social fear increased with age, with dogs aged over 12 years showing the highest levels, and dogs aged under 3 years the lowest levels. Excitability, Playfulness, and Active engagement all showed a significant linear decrease with age (highest scores in dogs aged one to three, and the lowest in dogs aged over 12 years). Trainability scores remained high until declining from 10 years onwards. Controllability showed a quadratic distribution, peaking in three to 6 year olds, and was lowest in dogs aged over 12 years. Aggression toward dogs was lowest in the youngest age group, and highest in the oldest. Conversely, prey drive was highest in the youngest age group and lowest in the oldest. Finally, Dominance over dogs showed a quadratic distribution and peaked in dogs aged 8 to 10. Please refer to the Supplementary Materials for pairwise comparison of each age group, along with test statistic, standard error, significance level, and adjusted significance level for multiple comparisons.
Linear Models: Main Effects of All Explanatory Variables
Linear models were run to examine the effects of the explanatory variables and age group on the five DPQ factors. Since most of the demographic and explanatory variables were previously shown to differ according to the age group of the dog (
Table 4
| Source | df | Fearfulness (N=1,170) | Aggression toward people (N=1,182) | Activity excitability (N=1,156) | Responsiveness to training (N=1,183) | Aggression toward animals (N=1,171) | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| F | P | FDR | Partial eta2 | F | P | FDR | Partial eta2 | F | P | FDR | Partial eta2 | F | P | FDR | Partial eta2 | F | P | FDR | Partial eta2 | ||
| Corrected Model | 6.542 | <0.001 | 0.230 | 3.327 | <0.001 | 0.131 | 10.800 | <0.001 | 0.333 | 18.830 | <0.001 | 0.459 | 2.884 | <0.001 | 0.116 | ||||||
| Age group | 5 | 2.690 | 0.020 | 0.066 | 0.012 | 0.897 | 0.482 | 0.605 | 0.004 | 18.153 | 0.000 | 0.000 | 0.076 | 1.077 | 0.372 | 0.475 | 0.005 | 4.113 | 0.001 | 0.012 | 0.018 |
| Height (in cm) | 1 | 0.194 | 0.659 | 0.288 | 0.000 | 0.578 | 0.447 | 0.605 | 0.001 | 0.137 | 0.711 | 0.779 | 0.000 | 2.094 | 0.148 | 0.340 | 0.002 | 1.266 | 0.261 | 0.375 | 0.001 |
| Weight (in kg) | 1 | 29.058 | 0.000 | 0.000 | 0.025 | 2.569 | 0.109 | 0.358 | 0.002 | 0.938 | 0.333 | 0.418 | 0.001 | 7.039 | 0.008 | 0.031 | 0.006 | 1.512 | 0.219 | 0.336 | 0.001 |
| Breed | 1 | 16.562 | 0.000 | 0.001 | 0.015 | 10.112 | 0.002 | 0.012 | 0.009 | 3.387 | 0.066 | 0.169 | 0.003 | 0.238 | 0.626 | 0.719 | 0.000 | 5.841 | 0.016 | 0.061 | 0.005 |
| Sex | 1 | 9.013 | 0.003 | 0.010 | 0.008 | 14.386 | 0.000 | 0.000 | 0.013 | 3.806 | 0.051 | 0.147 | 0.003 | 10.334 | 0.001 | 0.008 | 0.009 | 2.739 | 0.098 | 0.188 | 0.002 |
| Neuter status | 1 | 3.173 | 0.075 | 0.173 | 0.003 | 1.097 | 0.295 | 0.590 | 0.001 | 0.000 | 0.985 | 0.985 | 0.000 | 0.993 | 0.319 | 0.459 | 0.001 | 3.065 | 0.080 | 0.178 | 0.003 |
| Sensory problems | 1 | 2.205 | 0.138 | 0.693 | 0.002 | 1.729 | 0.189 | 0.543 | 0.002 | 6.526 | 0.011 | 0.042 | 0.006 | 1.516 | 0.218 | 0.380 | 0.001 | 5.967 | 0.015 | 0.061 | 0.005 |
| Off-leash activity | 4 | 1.510 | 0.197 | 0.377 | 0.005 | 0.718 | 0.580 | 0.642 | 0.003 | 2.039 | 0.087 | 0.200 | 0.007 | 3.872 | 0.004 | 0.023 | 0.014 | 1.866 | 0.114 | 0.202 | 0.007 |
| Body Condition Score | 2 | 0.411 | 0.663 | 0.693 | 0.001 | 0.693 | 0.500 | 0.605 | 0.001 | 5.427 | 0.005 | 0.029 | 0.010 | 0.385 | 0.681 | 0.719 | 0.001 | 1.851 | 0.158 | 0.260 | 0.003 |
| Food | 4 | 0.930 | 0.446 | 0.603 | 0.003 | 1.374 | 0.241 | 0.564 | 0.005 | 1.356 | 0.247 | 0.379 | 0.005 | 2.959 | 0.019 | 0.055 | 0.010 | 3.443 | 0.008 | 0.046 | 0.012 |
| Vitamins | 3 | 0.769 | 0.512 | 0.654 | 0.002 | 0.190 | 0.903 | 0.903 | 0.001 | 1.938 | 0.122 | 0.236 | 0.005 | 1.428 | 0.233 | 0.380 | 0.004 | 0.739 | 0.529 | 0.676 | 0.002 |
| Trauma | 1 | 40.734 | 0.000 | 0.000 | 0.035 | 22.142 | 0.000 | 0.000 | 0.019 | 1.619 | 0.204 | 0.335 | 0.001 | 0.805 | 0.370 | 0.475 | 0.001 | 8.502 | 0.004 | 0.031 | 0.008 |
| Health problems | 4 | 2.719 | 0.029 | 0.082 | 0.010 | 0.356 | 0.840 | 0.878 | 0.001 | 1.225 | 0.298 | 0.403 | 0.004 | 1.635 | 0.163 | 0.341 | 0.006 | 2.051 | 0.085 | 0.178 | 0.007 |
| Medication | 1 | 0.299 | 0.585 | 0.684 | 0.000 | 0.297 | 0.586 | 0.642 | 0.000 | 1.724 | 0.189 | 0.334 | 0.002 | 0.161 | 0.688 | 0.719 | 0.000 | 0.063 | 0.802 | 0.922 | 0.000 |
| Owner age | 3 | 1.007 | 0.389 | 0.559 | 0.003 | 1.030 | 0.379 | 0.604 | 0.003 | 0.939 | 0.421 | 0.484 | 0.003 | 1.500 | 0.213 | 0.380 | 0.004 | 0.106 | 0.957 | 0.957 | 0.000 |
| Age of dog when arrived | 3 | 1.163 | 0.323 | 0.495 | 0.003 | 3.104 | 0.026 | 0.120 | 0.008 | 14.223 | 0.000 | 0.000 | 0.037 | 0.719 | 0.541 | 0.655 | 0.002 | 3.224 | 0.022 | 0.072 | 0.009 |
| Get dog | 2 | 1.163 | 0.313 | 0.495 | 0.002 | 1.180 | 0.308 | 0.590 | 0.002 | 4.945 | 0.007 | 0.032 | 0.009 | 0.029 | 0.972 | 0.972 | 0.000 | 0.069 | 0.933 | 0.957 | 0.000 |
| Where dog is kept | 2 | 1.448 | 0.236 | 0.417 | 0.003 | 2.503 | 0.082 | 0.314 | 0.004 | 1.065 | 0.345 | 0.418 | 0.002 | 1.394 | 0.248 | 0.380 | 0.002 | 2.548 | 0.079 | 0.178 | 0.005 |
| Dog obedience tasks | 3 | 5.895 | 0.001 | 0.003 | 0.016 | 12.157 | 0.000 | 0.000 | 0.031 | 12.738 | 0.000 | 0.000 | 0.033 | 83.808 | 0.000 | 0.000 | 0.182 | 7.275 | 0.000 | 0.000 | 0.019 |
| Play | 3 | 0.091 | 0.965 | 0.965 | 0.000 | 0.940 | 0.420 | 0.604 | 0.002 | 1.931 | 0.123 | 0.236 | 0.005 | 4.207 | 0.006 | 0.028 | 0.011 | 0.248 | 0.863 | 0.945 | 0.001 |
| Commands | 2 | 0.520 | 0.595 | 0.684 | 0.001 | 0.869 | 0.420 | 0.604 | 0.002 | 3.388 | 0.034 | 0.112 | 0.006 | 19.961 | 0.000 | 0.000 | 0.034 | 0.801 | 0.449 | 0.607 | 0.001 |
| Dog training activities | 2 | 7.052 | 0.001 | 0.004 | 0.012 | 0.925 | 0.397 | 0.604 | 0.002 | 1.228 | 0.293 | 0.403 | 0.002 | 4.064 | 0.017 | 0.055 | 0.007 | 0.408 | 0.665 | 0.805 | 0.001 |
| Dog behavior changed | 1 | 4.191 | 0.041 | 0.105 | 0.004 | 1.350 | 0.245 | 0.564 | 0.001 | 0.068 | 0.794 | 0.830 | 0.000 | 5.025 | 0.025 | 0.064 | 0.004 | 2.970 | 0.085 | 0.178 | 0.003 |
Results of the linear models on the five PCA factors of the DPQ.
Owner experience, Other dogs in the household, People in household, Child, and Time spent alone were removed from the model, as all p values were non-significant, and none of these variables differed among the age groups. All other non-significant effects remained in the model in order to control for age effects on the explanatory variables. P values were corrected for multiple comparisons using the false discovery rate procedure (FDR). Significant predictors are highlighted in bold and colored (p ≤ 0.05).
In addition to dog age group, we found numerous associations between the dog and owner demographics and other explanatory variables and the personality traits (Table 4). Results for the Fearfulness factor revealed significant effects of previous trauma (3.5% variance explained), weight in kg (2.5%), breed (1.5%), number of dog obedience tasks known (1.6%), number of dog training activities currently participating in (1.2%), and sex (0.8%), which including the remaining 17 variables explained a total of 23.0% of the variance. Results from all the models can be found in Table S5) but are briefly summarized here. Previously we established that dogs that have experienced one or more traumatic events (such as spent time at a shelter, changed owner, suffered traumatic injury/prolonged disease/surgery, were lost for a time, or who experienced a change in family structure), were more likely to be currently suffering from health and/or sensory problems (
The 23 explanatory variables together accounted for 13.1% of the total variance of the Aggression toward people score. Four variables had significant associations after correction for FDR: Purebreds were rated to be less aggressive than mixed breeds, and males had higher Aggression toward people than females. Dogs that had experienced trauma had higher Aggression toward people, and dogs that knew three or more dog obedience tasks had lower aggression than dogs that knew maximum one task. From the four variables, three had a higher than 1% effect size: number of dog obedience tasks known (3.1%), previous trauma (1.9%), and sex (1.3%). After excluding 16 outliers and rerunning the model, all results that were significant according to FDR Benjamini-Hochberg method remained significant.
Results for the Activity/Excitability factor revealed significant effects of age group (7.6% variance explained), age of dog when arrived (3.7%), dog obedience tasks (3.3%), body condition score (1%), where the dog was obtained from (get dog) (0.9%), and sensory problems (0.6%), which including the remaining 22 variables explained a total of 33.3% of the variance. As dogs age increased Activity/Excitability decreased, and dogs that arrived in the household aged 7 weeks or older received lower Activity/Excitability scores than dogs that were obtained from under 7 weeks. Dogs that knew two or more types of dog obedience tasks were rated as higher in Activity/Excitability than dogs that knew maximum one task. Overweight dogs and dogs with sensory problems were scored lower on Activity/Excitability levels than dogs in a normal weight range, with no sensory problems. Finally, dogs that were born in the household or bought by the owner from a breeder, had lower Activity/Excitability scores than dogs that were found as a stray, or obtained from the shelter. After excluding three outliers and rerunning the model, all results that were significant according to FDR Benjamini-Hochberg method remained significant.
The 23 explanatory variables together accounted for 45.9% of the total variance of the Responsiveness to training score. Results revealed that as a consequence of successfully uncovering one or more mediator variables, we could no longer detect age group differences in this personality trait. Six explanatory variables had significant associations after correction for FDR: Dogs that knew two or more dog obedience tasks had higher Responsiveness to training than dogs that knew maximum one task, and dogs that knew 11 or more commands were rated higher in Responsiveness to training than dogs that knew 10 or fewer. Dogs that engaged in more than 1 h of off leash activity had greater Responsiveness to training scores, than dogs that received <30 min. Owners who engaged in play or other activities with their dog for more than 1 h per day gave their dog higher scores in Responsiveness to training than owner who spent <30 min. Male dogs were rated to be less Responsive to training than females, and heavier dogs had higher Responsiveness to training scores than lighter dogs. From the six variables, four had a higher than 1% effect size: dog obedience tasks (18.2%), number of commands known (3.4%), off leash activity (1.4%), and time spent in play (1.1%). After excluding one outlier and rerunning the model, all results that were significant according to FDR Benjamini-Hochberg method, remained significant.
Results for the Aggressiveness toward animals factor revealed significant effects of dog obedience tasks (1.9% variance explained), age group (1.8%), diet (food) (1.2%), and previous trauma (0.8%), which including the remaining 19 variables explained a total of 11.6% of the variance. As described previously, Aggressiveness toward animals showed a quadratic distribution with age; dogs aged between 6 and 10 years had significantly higher scores than dogs aged 1–3 years. Dogs that could carry out four or more dog obedience tasks had lower Aggressiveness toward animals than dogs that could perform maximum one task. Dogs fed cooked food and/or raw meat, as well as dogs fed a mixture of foods had higher owner reported Aggressiveness toward animals than dogs fed a diet of tinned food, or tinned and dry food mixed. Finally, dogs that had previously experienced trauma scored higher in Aggressiveness toward animals.
Mediation Analysis: Responsiveness to Training
When modeled separately, some explanatory variables and Responsiveness to training both showed an effect of age group, therefore it is possible that a mediation may take place between this factor and one or more of the variables. To follow up on this possibility we looked for potential mediator variables by examining which of the significant explanatory variables in the model had the strongest relationship with dog age (including off-leash activity, dog obedience tasks, play, and commands). Results revealed that the explanatory variable play had the greatest differences between the age groups [χ(15) = 61.282, p < 0.001]. Please refer to Wallis et al. (
Figure 2

Proposed relationship between dog age group (X), the explanatory variable play [mediator (M): “on an average day, how much time do you or other people spend together with your dog in different activities?” (Playing, walking, training)], and the Dog Personality Questionnaire factor Responsiveness to training (Y). The dotted line represents indirect effects and the solid line direct effects. Confounding variables includes all demographic and other explanatory variables retained in the final model.
We estimated the average causal mediation effect of play, by first fitting the mediator model, where the categorical variable play [mediator (M)], is modeled as a function of dog age group (X) and confounding variables [(C) weight, height, breed, sex, neuter status, etc. (see Table 3 for full list of final model variables)]. Next, we modeled the outcome variable Responsiveness to training, including the mediator (play), age group, and the same set of confounding variables as those used in the mediator model. We used proportional odds logistic regression for the mediator, and linear regression for the outcome model. When comparing the age group with the highest Responsiveness to training, with that of the lowest [age group two and six (adult vs. old dogs)], results from the mediation analysis indicated that there was a significant average causal mediation effect (ACME or indirect effect), but the average direct effect and the total effect were not significant. Results from the mediation analysis posits a partial mediation and the average proportion mediated was 18%. The results suggest that the mediating variable play accounts for a significant part (but not all) of the relationship between dog age and Responsiveness to training. Therefore, the difference in the play variable (mediator) in older dogs in part is responsible for the lower Responsiveness to training personality trait score. The absence of a significant total effect can be explained by the presence of several mediating paths that may cancel each other out. Please refer to the Supplementary Materials for results of the mediation analysis.
Discussion
Previously we established that aging influences multiple dog and owner demographics (
Previous studies have observed that multiple environmental factors can mask or even enhance differences in biological factors such as age, sex, neuter status, and breed (
Interestingly, although we did not find an effect of age in the main Fearfulness factor of the DPQ, we did find age differences in the facets Fear of people and Non-social fear (see Supplementary Materials). Fear of people peaked in dogs aged 3–6 years and was lowest in dogs aged over 10 years. Non-social fear increased with age, with dogs aged over 12 years showing the highest levels, perhaps due to a decline in environmental stimulation opportunities and to sensory dysfunction. Previously we detected a trend for the oldest age group to be shorter in height than the other age groups [41 cm in comparison to 43–45 cm; Kruskal Wallis test = 11.37, p = 0.055 (
Studies have also shown increased anxiety-like behavior in aged mice and rats, and in humans (
Unsurprisingly, the factor Activity/Excitability, which contains the facets Excitability, Playfulness, Active Engagement and Companionability, showed a strong decline with age in the current cross-sectional study. Several studies have reported decreases in activity levels with age in dogs within the home environment (
In the current study, Responsiveness to training also declined with age, after peaking in the 3–6-year-old dogs. Chopik and Weaver (
Finally, Aggressiveness toward animals increased with age up to 10 years, but then declined. Several studies have reported increases in intraspecific aggression in dogs with age (
Our next aim was to investigate if the behavior differences between the dog age groups remained significant after controlling for any differences in the demographic and dog keeping factors, as well as to examine how the demographic and explanatory variables are associated with the behavioral traits. Results revealed that due to the fact that we successfully uncovered one or more mediator variables we could no longer detect age group differences in the personality trait Responsiveness to training. For the Activity/Excitability and Aggression toward animals behavior traits, dog age group remained a significant predictor in the models even after controlling for the measured explanatory variables. This suggests that these age-related behavioral differences (i.e., lower Activity/Excitability in older dogs, and higher Aggression toward animals in dogs aged six to ten), remained even after taking into account other demographic variables known to change with age [investigated in Wallis et al. (
When we explored the relationship between the demographic and other explanatory variables and the behavior traits, we found that 15 out of the 28 variables were significantly associated with at least one behavior trait, after correction for multiple comparisons. Here we will discuss only those variables that accounted for <1% variance explained in the models (including weight, breed, sex, off-leash activity, food (diet), previous trauma, age of dog when arrived, dog obedience tasks, play, commands, and dog training activities).
The explanatory variables weight and breed (mixed or pure bred) were significant in the DPQ factor Fearfulness. Larger, heavier dogs scored lower in Fearfulness than smaller lighter dogs, and mixed breeds were higher in Fearfulness than pure breeds. Our results are supported by previous studies that found that smaller dogs were seen as more anxious, neurotic and fearful in comparison to larger dogs (
Similarly, although we found significant sex effects for three of the five personality traits (and a tendency in Activity/Excitability and Aggression toward animals), only one had a higher than one percent variance explained, Aggression toward people. Regardless of breed, owners rated male dogs as higher in aggression than females. Previous studies have found that male dogs score higher on owner directed aggression (
The environmental explanatory variable, off-leash activity showed only one association with the personality traits measured. Dogs that engaged in more than 1 h of off-leash activity had greater Responsiveness to training scores, than dogs that received <30 min. This finding is easily explained by the fact that dogs that have received more training and have a better recall, are likely to be allowed more off-leash time than untrained dogs. Some breeds are more commonly allowed off the lead in public by owners, which indicates that there are breed differences in off-leash activity. Additionally, dogs that are more fearful and show aggression to strangers or other dogs (and therefore might not return to the owner when called), are less likely to be allowed off-leash. A recent study found that such dogs were also more likely to be overweight, perhaps because their owners do not allow their dogs to exercise outside the house and garden, or restrict their freedom if they do (
The dogs' main diet had a significant association with one behavioral trait. Interestingly, dogs fed cooked food and/or raw meat, as well as dogs fed a mixture of foods (including, cooked food, raw, as well as dry and/or canned food), had higher owner reported Aggressiveness toward animals than dogs fed a diet of only dry food, or tinned food, or tinned and dry food mixed. One explanation for this finding could be due to the fact that dogs which are prone to intraspecific aggression that are fed a higher protein diet, show heightened dominance aggression compared to when they are fed a low protein diet, or a diet supplemented with tryptophan (
Earlier we established that dogs that have previously experienced one or more traumatic events (such as spent time at a shelter, changed owner, suffered traumatic injury/prolonged disease/surgery, were lost for a time, or who experienced a change in family structure), were more likely to be currently suffering from health and/or sensory problems (
To date, few studies have examined the effect of previous trauma on behavioral traits in dogs (
Studies in humans have also indicated that extremely adverse life experiences can have a profound effect on personality. Participants who reported an extremely horrifying or frightening event up to 2 years previously, showed increases in neuroticism, decreases in the compliance facet of agreeableness, and decreases in openness to values (
Dogs that arrived in the household aged older than 7 weeks or that were bred by the owner received lower Activity/Excitability scores than dogs that were obtained from under 7 weeks, or that were found, or rescued from a shelter. Our results are in part agreement to those from Kubinyi et al. (
The final four explanatory variables that influenced the dog behavioral traits were dog obedience tasks, amount of time in play or other activities, number of known commands, and dog training activities. Dog obedience tasks was the only demographic variable that had a higher than 1% variance explained in all five of the models. A greater number of dog obedience tasks known by the dog corresponded to lower Aggressiveness toward animals, Fearfulness and Aggression toward people, and higher Activity/Excitability and Responsiveness to training, than dogs that could perform maximum one task. These results suggest that there is a link between the number of obedience tasks known and personality as assessed by the owner in pet dogs. However, this is a correlation and although changes in the number of obedience tasks known may lead to changes in personality, it is also possible that the dogs already had the type of personality that would be amenable to training (lower aggression and fearfulness, and higher Activity/Excitability), which resulted in greater levels of obedience. Regardless of which is cause and which is effect, it is clear that obedience is an important aspect contributing to owner answered dog personality questionnaires, and the dog-owner relationship.
Formal and informal obedience training has been found to reduce aggression, and owners of obedience-trained animals reported fewer behavioral problems (
In the current study, dog obedience tasks, time spent in play or other activities and number of commands known explained 22% of the Responsiveness to training factor, providing construct validity for this trait. Additionally, we could show that one explanatory variable, play, partially mediated the relationship between age group and Responsiveness to training. This result is particularly important, as it implies that in older dogs, interventions to increase play and training motivation may alleviate the negative effects of aging on dogs' trainability. Finally, dogs that participated in a higher number of dog training activities had lower Fearfulness scores. Previous studies have also found a link between training and fearfulness. Owners of nervous dogs had lower training engagement (
The fact that the dogs' level of training (or education) was found to have a stronger influence on owner perceived dog personality than breed, sex or reproductive status provides evidence that educational experiences have the power to shape dogs' personality development. It is generally accepted that children and puppies' personality is dynamic and dependent on the interaction of genetics, biology, and environmental influences. Such phenotypic plasticity allows individuals to adjust to environmental variation, and helps to explain the high heritability of personality in early childhood (
Our study is among the first that aimed to report mean-level differences in personality traits across the lifespan of pet dogs, and to describe the demographic variables that may contribute to them. However, it is important to note that a major limitation of this study is that it is based on owner reports, which are subjective, and in most cases where associations were found, it was not possible to determine the direction of the cause—effect relationships, or indeed whether a real causal relationship does in fact exist. Additionally, as the owners were contacted through social media the sample may have been subject to selection bias, and as such it is not possible to determine whether the results are generalisable to the population. However, the age related results are similar to Chopik and Weaver's (
Conclusion
Some of the predicted relationships between demographic variables and dog personality were found (such as age, breed, and sex effects), however, most were small effects, therefore their biological relevance is questionable. Instead, the amount of shared activities, specifically the number of dog obedience tasks known, and the occurrence of previous trauma proved to be more predictive of how owners viewed their dogs' personality.
Statements
Data availability statement
All datasets generated for this study are included in the article/Supplementary Material.
Ethics statement
Ethical review and approval was not required for the animal study because we collected the data using an online questionnaire designed to assess the dogs and the owners demographic data and dog personality via owner report. According to the currently operating Hungarian law (1998. Evi XXVIII. Torvenyand dog personality —the Animal Protection Act, 3rd paragraph, 9th point), non-invasive observational data collection on dog demographics and behavior are not considered as animal experiments, and are therefore allowed to be conducted without any special permission from the University Institutional Animal Care and Use Committee (UIACUC). The filling out of the questionnaires was voluntary and anonymous so the study did not violate respondents' privacy. Informed consent was included in the introductory letter of the questionnaires. Written informed consent was obtained from the owners for the participation of their animals in this study.
Author contributions
EK and DS: conceived and designed the demographic questionnaire. LW, EK, and DS: analyzed the data, interpreted the results, and revised the paper. LW: wrote the first draft of the paper. EK: provided the funding.
Funding
This research was funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Grant Agreement No. 680040) and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences.
Acknowledgments
We would like to thank all of the Hungarian owners who filled in the online survey.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fvets.2019.00493/full#supplementary-material
References
1.
RobertsBWWaltonKEViechtbauerW. Patterns of mean-level change in personality traits across the life course: a meta-analysis of longitudinal studies. Psychol Bull. (2006) 132:1–25. 10.1037/0033-2909.132.1.1
2.
RobertsBWMroczekD. Personality trait change in adulthood. Curr Dir Psychol Sci. (2008) 17:31–5. 10.1111/j.1467-8721.2008.00543.x
3.
HeckmanJPintoRSavelyevP. Understanding the mechanisms through which an influential early childhood program boosted adult outcomes. Am Econ Rev. (2013) 103:2052–86. 10.1257/aer.103.6.2052
4.
JeronimusBFRieseHSandermanROrmelJ. Mutual reinforcement between neuroticism and life experiences: a five-wave, 16-year study to test reciprocal causation. J Pers Soc Psychol. (2014) 107:751–64. 10.1037/a0037009
5.
JeronimusBFOrmelJAlemanAPenninxBWRieseH. Negative and positive life events are associated with small but lasting change in neuroticism. Psychol Med. (2013) 43:2403–15. 10.1017/S0033291713000159
6.
RobertsBWWoodDSmithJL. Evaluating five factor theory and social investment perspectives on personality trait development. J Res Pers. (2005) 39:166–84. 10.1016/j.jrp.2004.08.002
7.
GoslingSDJohnOP. Personality dimensions in nonhuman animals. Curr Dir Psychol Sci. (1999) 8:69–75. 10.1111/1467-8721.00017
8.
CavigelliS. Animal personality and health. Behaviour. (2005) 142:1223–44. 10.1163/156853905774539355
9.
LeyJMBennettPC. Understanding personality by understanding companion dogs. Anthrozoos A Multidiscip J Interact People Anim. (2007) 20:113–24. 10.2752/175303707X207909
10.
MehtaPHGoslingSD. Bridging human and animal research: a comparative approach to studies of personality and health. Brain Behav Immun. (2008) 22:651–61. 10.1016/j.bbi.2008.01.008
11.
MiklósiÁKubinyiE. Current trends in canine problem-solving and cognition. Curr Dir Psychol Sci. (2016) 25:300–6. 10.1177/0963721416666061
12.
JonesACGoslingSD. Temperament and personality in dogs (Canis familiaris): a review and evaluation of past research. Appl Anim Behav Sci. (2005) 95:1–53. 10.1016/j.applanim.2005.04.008
13.
GartnerMC. Pet personality: a review. Pers Individ Dif. (2015) 75:102–13. 10.1016/j.paid.2014.10.042
14.
HenrikssonJ. (2016). Scores on Dog Personality are Dependent On Questionnaire: A Comparison of Three Questionnaires. Available online at: http://urn.kb.se/resolve?urn=urn%3Anbn%3Ase%3Aliu%3Adiva-129821 (accessed August 27, 2019).
15.
PoslunsJAAndersonREWalshCJ. Comparing two canine personality assessments: convergence of the MCPQ-R and DPQ and consensus between dog owners and dog walkers. Appl Anim Behav Sci. (2017) 188:68–76. 10.1016/j.applanim.2016.12.013
16.
HarveyNDCraigonPJBlytheSAEnglandGCWAsherL. An evidence-based decision assistance model for predicting training outcome in juvenile guide dogs. PLoS ONE. (2017) 12:e0174261. 10.1371/journal.pone.0174261
17.
KubinyiEGoslingSDMiklósiÁ. A comparison of rating and coding behavioural traits in dogs. Acta Biol Hung. (2015) 66:27–40. 10.1556/ABiol.66.2015.1.3
18.
TurcsánBWallisLVirányiZRangeFMüllerCAHuberLet al. Personality traits in companion dogs—results from the VIDOPET. PLoS ONE. (2018) 13:e0195448. 10.1371/journal.pone.0195448
19.
HsuYSerpellJA. Development and validation of a questionnaire for measuring behavior and temperament traits in pet dogs. J Am Vet Med Assoc. (2003) 223:1293–300. 10.2460/javma.2003.223.1293
20.
LeyJBennettPColemanG. Personality dimensions that emerge in companion canines. Appl Anim Behav Sci. (2008) 110:305–17. 10.1016/j.applanim.2007.04.016
21.
LeyJMBennettPCColemanGJ. A refinement and validation of the Monash Canine Personality Questionnaire (MCPQ). Appl Anim Behav Sci. (2009) 116:220–7. 10.1016/j.applanim.2008.09.009
22.
JonesAC. Development and Validation of a Dog Personality Questionnaire. Univ. Texas Austin, ProQuest Diss. Publ. (2008). Available online at: https://gosling.psy.utexas.edu/wp-content/uploads/2014/10/Amanda-Claire-Jones-Diss-2008.pdf (accessed August 27, 2019).
23.
ChanADFNippakPMDMurpheyHIkeda-douglasCJMuggenburgBHeadEet al. Visuospatial impairments in aged canines (Canis familiaris): the role of cognitive-behavioral flexibility. Behav Neurosci. (2002) 116:443–54. 10.1037/0735-7044.116.3.443
24.
NeilsonJCHartBLCliffKDRuehlWW. Prevalence of behavioral changes associated with age-related cognitive impairment in dogs. J Am Vet Med Assoc. (2001) 218:1787–91. 10.2460/javma.2001.218.1787
25.
RiemerSMüllerCVirányiZHuberLRangeF. Individual and group level trajectories of behavioural development in Border collies. Appl Anim Behav Sci. (2016) 180:78–86. 10.1016/j.applanim.2016.04.021
26.
WilssonESundgrenP-E. The use of a behaviour test for the selection of dogs for service and breeding, I: method of testing and evaluating test results in the adult dog, demands on different kinds of service dogs, sex and breed differences. Appl Anim Behav Sci. (1997) 53:279–95. 10.1016/S0168-1591(96)01174-4
27.
HarveyNDCraigonPJBlytheSAEnglandGCWWAsherL. Social rearing environment influences dog behavioral development. J Vet Behav Clin Appl Res. (2016) 16:13–21. 10.1016/j.jveb.2016.03.004
28.
McMillanFDSerpellJADuffyDLMasaoudEDohooIR. Differences in behavioral characteristics between dogs obtained as puppies from pet stores and those obtained from noncommercial breeders. J Am Vet Med Assoc. (2013) 242:1359–63. 10.2460/javma.242.10.1359
29.
ScottJP. Critical periods in the development of social behavior in puppies. Psychosom Med. (1958) 20:42–54. 10.1097/00006842-195801000-00005
30.
DuffyDLHsuYSerpellJA. Breed differences in canine aggression. Appl Anim Behav Sci. (2008) 114:441–60. 10.1016/j.applanim.2008.04.006
31.
HartBLHartLA. Selecting pet dogs on the basis of cluster analysis of breed behavior profiles and gender. J Am Vet Med Assoc. (1985) 186:1181–5.
32.
TurcsánBKubinyiEMiklósiÁ. Trainability and boldness traits differ between dog breed clusters based on conventional breed categories and genetic relatedness. Appl Anim Behav Sci. (2011) 132:61–70. 10.1016/j.applanim.2011.03.006
33.
TurcsánBMiklósiÁKubinyiE. Owner perceived differences between mixed-breed and purebred dogs. PLoS ONE. (2017) 12:e0172720. 10.1371/journal.pone.0172720
34.
LofgrenSEWienerPBlottSCSanchez-MolanoEWoolliamsJAClementsDNet al. Management and personality in labrador retriever dogs. Appl Anim Behav Sci. (2014) 156:44–53. 10.1016/j.applanim.2014.04.006
35.
StarlingMJBransonNThomsonPCMcGreevyPD. Age, sex and reproductive status affect boldness in dogs. Vet J. (2013) 197:868–72. 10.1016/j.tvjl.2013.05.019
36.
KubinyiETurcsánBMiklósiÁ. Dog and owner demographic characteristics and dog personality trait associations. Behav Proc. (2009) 81:392–401. 10.1016/j.beproc.2009.04.004
37.
VasJTopálJPéchÉMiklósiÁTopalJPechEet al. Measuring attention deficit and activity in dogs: a new application and validation of a human ADHD questionnaire. Appl Anim Behav Sci. (2007) 103:105–17. 10.1016/j.applanim.2006.03.017
38.
WallisLJRangeFMüllerCASerisierSHuberLVirányiZ. Lifespan development of attentiveness in domestic dogs: drawing parallels with humans. Front Psychol. (2014) 5:71. 10.3389/fpsyg.2014.00071
39.
BennettPCRohlfVI. Owner-companion dog interactions: Relationships between demographic variables, potentially problematic behaviours, training engagement and shared activities. Appl Anim Behav Sci. (2007) 102:65–84. 10.1016/j.applanim.2006.03.009
40.
TemesiATurcsánBMiklósiÁ. Measuring fear in dogs by questionnaires: an exploratory study toward a standardized inventory. Appl Anim Behav Sci. (2014) 161:121–30. 10.1016/j.applanim.2014.09.009
41.
BlackwellEJBradshawJWSCaseyRA. Fear responses to noises in domestic dogs: prevalence, risk factors and co-occurrence with other fear related behaviour. Appl Anim Behav Sci. (2013) 145:15–25. 10.1016/j.applanim.2012.12.004
42.
HsuYSunL. Factors associated with aggressive responses in pet dogs. Appl Anim Behav Sci. (2010) 123:108–23. 10.1016/j.applanim.2010.01.013
43.
ChopikWJWeaverJR. Old dog, new tricks: Age differences in dog personality traits, associations with human personality traits, and links to important outcomes. J Res Pers. (2019) 79:94–108. 10.1016/j.jrp.2019.01.005
44.
WilssonESundgrenP. The use of a behaviour test for selection of dogs for service and breeding. II Heritability for tested parameters and effect of selection based on service dog characteristics. Appl Anim Behav Sci. (1997) 54:235–41. 10.1016/S0168-1591(96)01175-6
45.
GoslingSDKwanVSYJohnOP. A dog's got personality: a cross-species comparative approach to personality judgments in dogs and humans. J Pers Soc Psychol. (2003) 85:1161–9. 10.1037/0022-3514.85.6.1161
46.
FarhoodyPZincM. Behavioral and Physical Effects of Spaying and Neutering Domestic Dogs (Canis familiaris). (2010). Available online at: http://www.naiaonline.org/uploads/WhitePapers/SNBehaviorFarhoodyZink.pdf (accessed 23, 2018).
47.
McGreevyPDGeorgevskyDCarrascoJValenzuelaMDuffyDLSerpellJA. Dog behavior co-varies with height, bodyweight and skull shape. PLoS ONE. (2013) 8:e80529. 10.1371/journal.pone.0080529
48.
KonokVKosztolányiARainerWMutschlerBHalsbandUMiklósiÁ. Influence of owners' attachment style and personality on their dogs' (Canis familiaris) separation-related disorder. PLoS ONE. (2015) 10:e0118375. 10.1371/journal.pone.0118375
49.
TurcsánBRangeFVirányiZMiklósiÁKubinyiE. Birds of a feather flock together? Perceived personality matching in owner–dog dyads. Appl Anim Behav Sci. (2012) 140:154–60. 10.1016/j.applanim.2012.06.004
50.
MirkóEKubinyiEGácsiMMiklósiÁ. Preliminary analysis of an adjective-based dog personality questionnaire developed to measure some aspects of personality in the domestic dog (Canis familiaris). Appl Anim Behav Sci. (2012) 138:88–98. 10.1016/j.applanim.2012.02.016
51.
SzabóDGeeNRMiklósiÁ. Natural or pathologic? Discrepancies in the study of behavioral and cognitive signs in aging family dogs. J Vet Behav Clin Appl Res. (2016) 11:86–98. 10.1016/j.jveb.2015.08.003
52.
ÁkosZBeckRNagyMVicsekTKubinyiE. Leadership and path characteristics during walks are linked to dominance order and individual traits in dogs. PLoS Comput Biol. (2014) 10:e1003446. 10.1371/journal.pcbi.1003446
53.
CorrieriLAddaMMiklósiÁKubinyiE. Companion and free-ranging Bali dogs: environmental links with personality traits in an endemic dog population of South East Asia. PLoS ONE. (2018) 13:e0197354. 10.1371/journal.pone.0197354
54.
KuroshimaHHoriYInoue-MurayamaMFujitaK. Influence of owners' personality on personality in labrador retriever dogs. Psychologia. (2016) 59:73–80. 10.2117/psysoc.2016.73
55.
RiemerSMüllerCVirányiZHuberLRangeF. The predictive value of early behavioural assessments in pet dogs – a longitudinal study from neonates to adults. PLoS ONE. (2014) 9:e101237. 10.1371/journal.pone.0101237
56.
WallisLJSzabóDErdélyi-BelleBKubinyiE. Demographic change across the lifespan of pet dogs and their impact on health status. Front Vet Sci. (2018) 5:200. 10.3389/fvets.2018.00200
57.
DeVellisR. F. (1991). Scale Development : Theory and Applications. Thousand Oaks, CA: Sage Publications. Available online at: https://us.sagepub.com/en-us/nam/scale-development/book246123 (accessed 18, Dec 2018).
58.
R Core Team. R: A Language and Environment for Statistical Computing. (2013). Available online at: http://www.r-project.org (accessed August 27, 2019).
59.
BoxGECoxDR. An analysis of transformations revisited, rebutted. J Am Stat Assoc. (1982) 77:209–10. 10.1080/01621459.1982.10477788
60.
BenjaminiYHochbergY. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser Gen. (1995) 57:289–300. 10.1111/j.2517-6161.1995.tb02031.x
61.
TingleyDYamamotoTHiroseKKeeleLImaiK. Mediation: Causal Mediation Analysis. R package version 4.4.4 (2015).
62.
ImaiKKeeleLTingleyD. A general approach to causal mediation analysis. Psychol Methods. (2010) 15:309–34. 10.1037/a0020761
63.
ZeileisA. Object-oriented computation of sandwich estimators. J Stat Softw. (2006) 16:1–16. 10.18637/jss.v016.i09
64.
RobertsBWCaspiA. The cumulative continuity model of personality development: striking a balance between continuity and change in personality traits across the life course. In: StaudingerUMLindenbergerU editors. Understanding Human Development.Boston, MA: Springer (2003). p. 183–214. 10.1007/978-1-4615-0357-6_9
65.
StudzinskiCMChristieLAAraujoJABurnhamWMHeadECotmanCWet al. Visuospatial function in the beagle dog: an early marker of cognitive decline in a model of human aging and dementia. Neurobiol Learn Mem. (2006) 86:197–204. 10.1016/j.nlm.2006.02.005
66.
DaleAWalkerJFarnworthMMorrisseySWaranN. A survey of owners' perceptions of fear of fireworks in a sample of dogs and cats in New Zealand. N Z Vet J. (2010) 58:286–91. 10.1080/00480169.2010.69403
67.
BellowsJColitzCMHDaristotleLIngramDKLepineAMarksSLet al. Defining healthy aging in older dogs and differentiating healthy aging from disease. J Am Vet Med Assoc. (2015) 246:77–89. 10.2460/javma.246.1.77
68.
Lopes FagundesALHewisonLMcPeakeKJZulchHMillsDS. Noise sensitivities in dogs: an exploration of signs in dogs with and without musculoskeletal pain using qualitative content analysis. Front Vet Sci. (2018) 5:17. 10.3389/fvets.2018.00017
69.
MeyerIForkmanBB. Dog and owner characteristics affecting the dog-owner relationship. J Vet Behav Clin Appl Res. (2014) 9:143–50. 10.1016/j.jveb.2014.03.002
70.
NewJCSalmanMDKingMScarlettJMKassPHHutchisonJM. Characteristics of shelter-relinquished animals and their owners compared with animals and their owners in U.S. Pet-owning households. J Appl Anim Welf Sci. (2000) 3:179–201. 10.1207/S15327604JAWS0303_1
71.
ChemerinskiEPetraccaGManesFLeiguardaRStarksteinSE. Prevalence and correlates of anxiety in Alzheimer's disease. Depress. Anxiety. (1998) 7:166–70. 10.1002/(sici)1520-6394(1998)7:4<166::aid-da4>3.0.co;2-8
72.
KoganJNEdelsteinBAMcKeeDR. Assessment of anxiety in older adults: current status. J Anxiety Disord. (2000) 14:109–32. 10.1016/s0887-6185(99)00044-4
73.
MeekerHCChadmanKKHeaneyATCarpRI. Assessment of social interaction and anxiety-like behavior in senescence-accelerated-prone and -resistant mice. Physiol Behav. (2013) 118:97–102. 10.1016/j.physbeh.2013.05.003
74.
MeyzaKZBoguszewskiPMNikolaevEZagrodzkaJ. Age increases anxiety and reactivity of the fear/anxiety circuit in Lewis rats. Behav Brain Res. (2011) 225:192–200. 10.1016/j.bbr.2011.07.011
75.
SeignourelPJKunikMESnowLWilsonNStanleyM. Anxiety in dementia: a critical review. Clin Psychol Rev. (2008) 28:1071–82. 10.1016/j.cpr.2008.02.008
76.
FastRSchüttTToftNMøllerABerendtM. An observational study with long-term follow-up of canine cognitive dysfunction: clinical characteristics, survival, and risk factors. J Vet Intern Med. (2013) 27:822–9. 10.1111/jvim.12109
77.
LandsbergGMDeporterTAraujoJA. Clinical signs and management of anxiety, sleeplessness, and cognitive dysfunction in the senior pet. Vet Clin North Am Small Anim Pract. (2011) 41:565–90. 10.1016/j.cvsm.2011.03.017
78.
SchüttTToftNBerendtM. Cognitive function, progression of age-related behavioral changes, biomarkers, and survival in dogs more than 8 years old. J Vet Intern Med. (2015) 29:1569–77. 10.1111/jvim.13633
79.
SalchnerPLubecGSingewaldN. Decreased social interaction in aged rats may not reflect changes in anxiety-related behaviour. Behav Brain Res. (2004) 151:1–8. 10.1016/j.bbr.2003.07.002
80.
vonHoldtBMStahlerDWynneCDLShuldinerEUdellMAROstranderEAet al. Structural variants in genes associated with human Williams-Beuren syndrome underlie stereotypical hypersociability in domestic dogs. Sci Adv. (2017) 3:e1700398. 10.1126/sciadv.1700398
81.
DoddHFPorterMA. Interpretation of ambiguous situations: evidence for a dissociation between social and physical threat in williams syndrome. J Autism Dev Disord. (2011) 41:266–74. 10.1007/s10803-010-1048-1
82.
LukasMNeumannID. Nasal application of neuropeptide S reduces anxiety and prolongs memory in rats: social versus non-social effects. Neuropharmacology. (2012) 62:398–405. 10.1016/j.neuropharm.2011.08.016
83.
WoodJNRomeroSGMakaleMGrafmanJ. Category-specific representations of social and nonsocial knowledge in the human prefrontal cortex. J Cogn Neurosci. (2003) 15:236–48. 10.1162/089892903321208178
84.
LandsbergGMNicholJAraujoJA. Cognitive dysfunction syndrome: a disease of canine and feline brain aging. Vet Clin North Am Small Anim Pract. (2012) 42:749–68. 10.1016/j.cvsm.2012.04.003
85.
SiwakCTMurpheyHLMuggenburgBAMilgramNW. Age-dependent decline in locomotor activity in dogs is environment specific. Physiol Behav. (2002) 75:65–70. 10.1016/S0031-9384(01)00632-1
86.
SforziniEMichelazziMSpadaERicciCCarenziCMilaniSet al. Evaluation of young and adult dogs' reactivity. J Vet Behav Clin Appl Res. (2009) 4:3–10. 10.1016/j.jveb.2008.09.035
87.
CaseyRALoftusBBolsterCRichardsGJBlackwellEJ. Inter-dog aggression in a UK owner survey: prevalence, co-occurrence in different contexts and risk factors. Vet Rec. (2013) 172:127. 10.1136/vr.100997
88.
ArhantCBubna-LittitzHBartelsAFutschikATroxlerJ. Behaviour of smaller and larger dogs: effects of training methods, inconsistency of owner behaviour and level of engagement in activities with the dog. Appl Anim Behav Sci. (2010) 123:131–42. 10.1016/j.applanim.2010.01.003
89.
SchneiderLADelfabbroPHBurnsNR. Temperament and lateralization in the domestic dog (Canis familiaris). J Vet Behav Clin Appl Res. (2013) 8:124–34. 10.1016/j.jveb.2012.06.004
90.
CaseyRALoftusBBolsterCRichardsGJBlackwellEJ. Human directed aggression in domestic dogs (Canis familiaris): Occurrence in different contexts and risk factors. Appl Anim Behav Sci. (2014) 152:52–63. 10.1016/j.applanim.2013.12.003
91.
HibyEFRooneyNJBradshawJWS. Dog training methods: their use, effectiveness and interaction with behaviour and welfare. Anim Welf. (2004) 13:63–9. Available online at: https://psycnet.apa.org/record/2004-10850-010
92.
EarlyJBArnottERvan RooyDMcGreevyPWadeCM. Holding back the genes: limitations of research into canine behavioural genetics. Canine Genet Epidemiol. (2014) 1:7. 10.1186/2052-6687-1-7
93.
HejjasKVasJTopalJSzantaiERonaiZSzekelyAet al. Association of polymorphisms in the dopamine D4 receptor gene and the activity-impulsivity endophenotype in dogs. Anim Genet. (2007) 38:629–33. 10.1111/j.1365-2052.2007.01657.x
94.
LiinamoAEvan den BergLLeegwaterPAJSchilderMBHvan ArendonkJAMvan OostBA. Genetic variation in aggression-related traits in Golden Retriever dogs. Appl Anim Behav Sci. (2007) 104:95–106. 10.1016/j.applanim.2006.04.025
95.
SarviahoRHakosaloOTiiraKLohiH. Two novel genomic regions associated with fearfulness in dogs overlap human neuropsychiatric loci. Transl Psychiatry. (2019) 9:18. 10.1038/s41398-018-0361-x
96.
van der WaaijEHWilssonEStrandbergE. Genetic analysis of results of a Swedish behavior test on German Shepherd Dogs and Labrador Retrievers1. J Anim Sci. (2008) 86:2853–61. 10.2527/jas.2007-0616
97.
VermeireSTAudenaertKRDobbeleirAADe MeesterRHDe VosFJPeremansKY. Evaluation of the brain 5-HT2A receptor binding index in dogs with anxiety disorders, measured with 123I-5I-R91150 and SPECT. J Nucl Med. (2009) 50:284–9. 10.2967/jnumed.108.055731
98.
ZapataISerpellJAAlvarezCE. Genetic mapping of canine fear and aggression. BMC Genom. (2016) 17:1–20. 10.1186/s12864-016-2936-3
99.
GuyNCLuescherUADohooSESpanglerEMillerJBDohooIRet al. Demographic and aggressive characteristics of dogs in a general veterinary caseload. Appl Anim Behav Sci. (2001) 74:15–28. 10.1016/S0168-1591(01)00153-8
100.
BeaverBV. Clinical classification of canine aggression. Appl Anim Ethol. (1983) 10:35–43. 10.1016/0304-3762(83)90110-4
101.
WrightJ. Canine Aggression: Dog Bites To People. In: Readings in Companion Animal Behavior.Trenton, NJ: Veterinary Learning Systems (1996). p. 240–6. Available online at: http://www.funpawcare.com/wp-content/uploads/2012/10/Canine-Aggression-Dog-Bites-to-People.pdf
102.
WrightJC. Canine aggression: dog bites to people. In: Readings in Companion Animal Behavior. Trenton, NJ: Veterinary Learning Systems (1996). p. 240–6. Available online at: http://www.funpawcare.com/wp-content/uploads/2012/10/Canine-Aggression-Dog-Bites-to-People.pdf
103.
BambergerMHouptKA. Signalment factors, comorbidity, and trends in behavior diagnoses in dogs: 1,644 cases (1991–2001). J Am Vet Med Assoc. (2006) 229:1591–601. 10.2460/javma.229.10.1591
104.
FratkinJL. Personality in Dogs. In VonkJWeissAKuczajSA editors. Personality in Nonhuman Animals. Cham: Springer International Publishing (2017). p. 205–24. 10.1007/978-3-319-59300-5_10
105.
TiiraKLohiH. Early life experiences and exercise associate with canine anxieties. PLoS ONE. (2015) 10:e0141907. 10.1371/journal.pone.0141907
106.
SerpellJAHsuY. Effects of breed, sex, and neuter status on trainability in dogs. Anthrozoos A Multidiscip. J Interact People Anim. (2005) 18:196–207. 10.2752/089279305785594135
107.
FlintHECoeJBSerpellJAPearlDLNielL. Risk factors associated with stranger-directed aggression in domestic dogs. Appl Anim Behav Sci. (2017) 197:45–54. 10.1016/j.applanim.2017.08.007
108.
GermanAJBlackwellEEvansMWestgarthC. Overweight dogs are more likely to display undesirable behaviours: results of a large online survey of dog owners in the UK. J Nutr Sci. (2017) 6:1–6. 10.1017/jns.2017.5
109.
DeNapoliJSDodmanNHShusterLRandWMGrossKL. Effect of dietary protein content and tryptophan supplementation on dominance aggression, territorial aggression, and hyperactivity in dogs. J Am Vet Med Assoc. (2000) 217:504–8. 10.2460/javma.2000.217.504
110.
SerpellJADuffyDL. Aspects of juvenile and adolescent environment predict aggression and fear in 12-month-old guide dogs. Front Vet Sci. (2016) 3:49. 10.3389/fvets.2016.00049
111.
LöckenhoffCETerraccianoAPatriciuNSEatonWWCostaPT. Self-reported extremely adverse life events and longitudinal changes in five-factor model personality traits in an urban sample. J Trauma Stress. (2009) 22:53–9. 10.1002/jts.20385
112.
OverallKL. Natural animal models of human psychiatric conditions: assessment of mechanism and validity. Prog Neuro-Psychopharmacol Biol Psychiatr. (2000) 24:727–76. 10.1016/S0278-5846(00)00104-4
113.
TaylorOAudenaertKBaekenCSaundersJPeremansK. Nuclear medicine for the investigation of canine behavioral disorders. J Vet Behav Clin Appl Res. (2016) 16:94–103. 10.1016/j.jveb.2016.08.005
114.
PierantoniLAlbertiniMPirroneF. Prevalence of owner-reported behaviours in dogs separated from the litter at two different ages. Vet Rec. (2011) 169:468–468. 10.1136/vr.d4967
115.
ClarkGIBoyerWN. The effects of dog obedience training and behavioural counselling upon the human-canine relationship. Appl Anim Behav Sci. (1993) 37:147–59. 10.1016/0168-1591(93)90107-Z
116.
JagoeASerpellJA. Owner characteristics and interactions and the prevalence of canine behaviour problems. Appl Anim Behav Sci. (1996) 47:31–42. 10.1016/0168-1591(95)01008-4
117.
BrileyDATucker-DrobEM. Genetic and environmental continuity in personality development: a meta-analysis. Psychol Bull. (2014) 140:1303–31. 10.1037/a0037091
118.
HudsonNWFraleyRC. Volitional personality trait change: can people choose to change their personality traits?J Pers Soc Psychol. (2015) 109:490–507. 10.1037/pspp0000021
119.
DrayJBowmanJCampbellEFreundMWolfendenLHodderRKet al. Systematic review of universal resilience-focused interventions targeting child and adolescent mental health in the school setting. J Am Acad Child Adolesc Psychiatr. (2017) 56:813–24. 10.1016/j.jaac.2017.07.780
120.
YeagerDSDweckCS. Mindsets that promote resilience: when students believe that personal characteristics can be developed. Educ Psychol. (2012) 47:302–14. 10.1080/00461520.2012.722805
121.
BlackwellECaseyRABradshawJWS. Controlled trial of behavioural therapy for separation-related disorders in dogs. Vet Rec. (2006) 158:551–4. 10.1136/vr.158.16.551
122.
HerronMEShoferFSReisnerIR. Survey of the use and outcome of confrontational and non-confrontational training methods in client-owned dogs showing undesired behaviors. Appl Anim Behav Sci. (2009) 117:47–54. 10.1016/j.applanim.2008.12.011
123.
LevineEDMillsDS. Long-term follow-up of the efficacy of a behavioural treatment programme for dogs with firework fears. Vet Rec. (2008) 162:657–9. 10.1136/vr.162.20.657
Summary
Keywords
dog personality, development, aging, cross-sectional, demographics, dog-human bond, trauma
Citation
Wallis LJ, Szabó D and Kubinyi E (2020) Cross-Sectional Age Differences in Canine Personality Traits; Influence of Breed, Sex, Previous Trauma, and Dog Obedience Tasks. Front. Vet. Sci. 6:493. doi: 10.3389/fvets.2019.00493
Received
02 September 2019
Accepted
12 December 2019
Published
14 January 2020
Volume
6 - 2019
Edited by
Sabine G. Gebhardt-Henrich, University of Bern, Switzerland
Reviewed by
Katriina Tiira, Independent researcher, RIihimäki, Finland; Hannah Flint, Purdue University, United States
Updates

Check for updates
Copyright
© 2020 Wallis, Szabó and Kubinyi.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Lisa J. Wallis lisa.wallis@live.co.uk
This article was submitted to Animal Behavior and Welfare, a section of the journal Frontiers in Veterinary Science
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.