On Measuring Progress in Animal Welfare

Improvements in the welfare of animals arise from two primary sources: Changes in public attitudes and beliefs regarding what constitutes acceptable treatment of animals, and mandatory changes in behavior toward animals imposed by governments and regulatory authorities. During the last 30-40 years, public and political support for improvements in animal welfare has increased dramatically in many countries. Funding from both governmental and non-governmental sources continues to grow, and the relatively new field of animal welfare science has emerged and expanded to support and inform these efforts. Many experts in the field recognize, however, that there is still a distinct gap between the science and the practice of animal welfare, and that policies and actions that aim to protect animals from harm are sometimes implemented in the absence of reliable evidence that they actually work

Jealousy? or just hostility toward other dogs? The risks of jumping to conclusions

Cook et al. (2018) provide a fascinating demonstration of amygdala activation in dogs when they witnessed their owners giving food to another (fake) dog, but not when they placed food in a bucket. Dogs’ neurological responses were positively correlated with their reported levels of ‘dog-directed aggression’ as measured by the C-BARQ, and dogs with initially strong amygdala responses habituated on subsequent trials. The authors interpret their findings as possible evidence for an emotion akin to jealousy in dogs. However, alternate interpretations involving either dog aggression/fear or emotional responses to food seem more plausible and avoid the welfare risks associated with attributing higher-order cognitive capacities to animal companions

Results from a randomized, controlled trial on efficacy and tolerability of a 5% Lidocaine-Medicated Plaster vs. Pregabalin in patients with Post-Herpetic Neuralgia (PHN) and Painful Diabetic Polyneuropathy (DPN) [poster]

No abstract available

Systematic review of risk factors for eating psychopathology in athletes: A critique of an etiological model

Objective: The theoretical model by Petrie and Greenleaf (2007, 2012) is an admirable attempt to collate the causal factors of disordered eating in athletes. The aims of this systematic review are (a) to provide an overview of the findings from the relevant literature, (b) to assess whether the model is supported by the existing research, (c) to evaluate the different designs, methods, and measures used to test the mediators in the model, and (d) to highlight areas for improvements and future research. Method: A systematic review of four major online databases identified 37 relevant papers on risk factors of disordered eating in athletes, which were reviewed and critically compared with the theoretical model. Results: There is a lack of longitudinal research with the relevant mediators in athlete populations, which makes it difficult to determine whether the potential mediators described by Petrie and Greenleaf are causal risk factors rather than simply correlates of disordered eating for athletes. Findings for all the potential mediators are inconsistent, and the range of measures used makes it problematic to draw conclusions. Conclusions: Future research needs to use gold standard measures and longitudinal designs in order to fully test and possibly update the model

An artificial intelligence approach to predicting personality types in dogs

Canine personality and behavioural characteristics have a significant influence on relationships between domestic dogs and humans as well as determining the suitability of dogs for specific working roles. As a result, many researchers have attempted to develop reliable personality assessment tools for dogs. Most previous work has analysed dogs’ behavioural patterns collected via questionnaires using traditional statistical analytic approaches. Artificial Intelligence has been widely and successfully used for predicting human personality types. However, similar approaches have not been applied to data on canine personality. In this research, machine learning techniques were applied to the classification of canine personality types using behavioural data derived from the C-BARQ project. As the dataset was not labelled, in the first step, an unsupervised learning approach was adopted and K-Means algorithm was used to perform clustering and labelling of the data. Five distinct categories of dogs emerged from the K-Means clustering analysis of behavioural data, corresponding to five different personality types. Feature importance analysis was then conducted to identify the relative importance of each behavioural variable’s contribution to each cluster and descriptive labels were generated for each of the personality traits based on these associations. The five personality types identified in this paper were labelled: “Excitable/Hyperattached”, “Anxious/Fearful”, “Aloof/Predatory”, “Reactive/Assertive”, and “Calm/Agreeable”. Four machine learning models including Support Vector Machine (SVM), K-Nearest Neighbour (KNN), Naïve Bayes, and Decision Tree were implemented to predict the personality traits of dogs based on the labelled data. The performance of the models was evaluated using fivefold cross validation method and the results demonstrated that the Decision Tree model provided the best performance with a substantial accuracy of 99%. The novel AI-based methodology in this research may be useful in the future to enhance the selection and training of dogs for specific working and non-working roles

Results from a randomized, controlled trial on efficacy and tolerability of a 5% Lidocaine-Medicated Plaster vs. Pregabalin in patients with Post-Herpetic Neuralgia (PHN) and Painful Diabetic Polyneuropathy (DPN) [poster]

No abstract available

A Qualitative Exploration of Sport and Social Pressures on Elite Athletes in Relation to Disordered Eating

Introduction: Athletes are at increased risk of disordered eating compared to non-athletes. Inspired by previous investigation into quantitative work on an etiological model of disordered eating in athletes, the current study aimed to explore a problematic aspect of the model: athletes' lived experiences of social and sport pressures in relation to the onset of disordered eating and differing eating behaviors. / Methods: Nine (N = 9) male and female athletes representing a range of endurance sports took part in semi-structured interviews. Thematic analysis was utilized. / Analysis: Analysis revealed two main themes each with two corresponding subthemes (1) Conflating physical appearance and sporting ability with the subthemes of (1a) social comparison in a sporting world and (1b) societal notions of “the athlete body” and (2) Living as an athlete with the corresponding subthemes of (2a) discipline and sacrifice and (2b) the balancing act. / Discussion: It is the complex interaction between societal expectations as lived out in social messages and comparisons, and sport pressures that contributes to the development of disordered eating behaviors. These findings suggest that prevention and treatment of disordered eating in athletes can be applied from those already established in non-sporting realm

How Does Fasting Affect Cognition? An Updated Systematic Review (2013–2020)

Purpose of Review: The goal of this review was to provide an update on the literature examining how voluntary, temporary abstention from eating impacts cognitive function. / Recent Findings: We evaluated peer-reviewed articles published between August 2013 and January 2021 that assessed adults, included a measure of cognitive functioning with neutral stimuli, and compared individuals in a fasted state to individuals in a fed state (either within- or between-subject designs). Nineteen articles (21 studies) met inclusion criteria. Sample sizes, fasting methods, and tasks varied across studies. Review of studies indicated that fasting was associated with deficits in cognitive functioning; few studies indicated a benefit in cognitive functioning following a single voluntary fast. / Summary: The heterogeneity and rarity of available studies limits the conclusions that can be drawn. Several crucial psychosocial and sociodemographic moderators remain unexplored. Recommendations for future work are discussed

Comparison of owner-reported behavioral characteristics among genetically clustered breeds of dog (Canis familiaris).

During the domestication process, dogs were selected for their suitability for multiple purposes, resulting in a variety of behavioral characteristics. In particular, the ancient group of breeds that is genetically closer to wolves may show different behavioral characteristics when compared to other breed groups. Here, we used questionnaire evaluations of dog behavior to investigate whether behavioral characteristics of dogs were different among genetically clustered breed groups. A standardized questionnaire, the Canine Behavioral Assessment and Research Questionnaire (C-BARQ), was used, and breed group differences of privately-owned dogs from Japan (n = 2,951) and the United States (n = 10,389) were analyzed. Results indicated that dogs in the ancient and spitz breed group showed low attachment and attention-seeking behavior. This characteristic distinguished the ancient group from any other breed groups with presumed modern European origins, and may therefore, be an ancestral trait