Background The Margin of Stability (MoS) is a widely used objective measure of dynamic stability during gait. Increasingly, researchers are using the MoS to assess the stability of pathological populations to gauge their stability capabilities and coping strategies, or as an objective marker of outcome, response to treatment or disease progression. The objectives are; to describe the types of pathological gait that are assessed using the MoS, to examine the methods used to assess MoS and to examine the way the MoS data is presented and interpreted. Methods A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Guidelines (PRISMA) in the following databases: Web of Science, PubMed, UCL Library Explore, Cochrane Library, Scopus. All articles measured the MoS of a pathologically affected adult human population whilst walking in a straight line. Extracted data were collected per a prospectively defined list, which included: population type, method of data analysis and model building, walking tasks undertaken, and interpretation of the MoS. Results Thirty-one studies were included in the final review. More than 15 different clinical populations were studied, most commonly post-stroke and unilateral transtibial amputee populations. Most participants were assessed in a gait laboratory using motion capture technology, whilst 2 studies used instrumented shoes. A variety of centre of mass, base of support and MoS definitions and calculations were described. Conclusions This is the first systematic review to assess use of the MoS and the first to consider its clinical application. Findings suggest the MoS has potential to be a helpful, objective measurement in a variety of clinically affected populations. Unfortunately, the methodology and interpretation varies, which hinders subsequent study comparisons. A lack of baseline results from large studies mean direct comparison between studies is difficult and strong conclusions are hard to make. Further work from the biomechanics community to develop reporting guidelines for MoS calculation methodology and a commitment to larger baseline studies for each pathology is welcomed.

Psychiatric comorbidities affect a large percentage of people with epilepsy and have a detrimental impact on their quality of life. Recently, behavioural comorbidities, with similar characteristics to human psychiatric diseases, have been identified in dogs with idiopathic epilepsy. In particular, behaviours motivated by the fear-anxiety emotional system have been found to be associated with the occurrence of idiopathic epilepsy in both dogs receiving anti-epileptic drugs, and drug-naïve dogs. There has been little research into the relationship between epilepsy and behavioural signs, and even less into potential treatment protocols. The following article will review available literature from human medicine to describe the current state of knowledge about the bi-directional relationship between anxiety and epilepsy, draw parallels from reported anxiogenic and anxiolytic properties of anti-epileptic drugs and attempt to provide pharmaceutical and behavioural guidance for veterinary patients with epilepsy and comorbid anxiety.

BackgroundBreed-specific and broader cohort studies have shown behavioural changes in dogs following the onset of idiopathic epilepsy (IE).MethodsA cross-sectional, case–control questionnaire study was carried out to strengthen this body of evidence. Owners of eight breeds of dog completed an online questionnaire about their dogs’ behaviour; once for control dogs and twice for dogs with IE, for both pre-IE and post-IE onset behaviour.ResultsNinety-six (24.74 per cent) dogs with IE and 292 (75.26 per cent) age and breed-matched control dogs met the inclusion criteria. Control dogs had significantly higher ‘Trainability’ scores than dogs with IE (P=0.04). After IE, dogs had significantly higher ‘Dog-Directed Fear or Aggression’ (P=0.02), ‘Non-Social Fear’ (P=0.01), ‘Attachment/Attention-Seeking Behaviour’ (P=0.04), ‘Attention-Deficit’ (P=0.02) and significantly lower ‘Trainability’ (P=0.02) than prior to the onset of IE. Medication status did not significantly affect any behavioural factor, but drug-resistant dogs had significantly less ‘Trainability’ than drug-responsive (P=0.04) and partially drug-responsive dogs (P=0.03).ConclusionBehavioural differences related to cognitive function are seen between dogs with IE and controls. Behavioural changes related to anxiety, attention and cognition are seen in dogs following the onset of IE. The ability to clinically define and diagnose behavioural comorbidities in dogs is much needed from both a clinical and research perspective.

Background: Many investigations into the determinants of hand hygiene (HH) behaviour have explored only individual predictors or were designed according to arguably overly simplistic models of behaviour. Consequently, important influences on HH behaviour, including habit and emotion, are sometimes neglected. This study is the first to employ the Theory of Interpersonal Behaviour as a comprehensive model for understanding the determinants of HH behaviour. Method: A self-report questionnaire was conducted with staff from two large UK veterinary referral practices. Participants ( n = 75) reported their HH behaviour and responded to statements rating the importance of social norms, self-protection, patient protection, time pressures, access to equipment, habit and disgust, to their HH behaviour. Results: Regression analysis showed that, overall, determinants explained 46% of variance ( p < .001) in self-reported HH behaviour, with time constraints being the strongest predictor ( β = −.47, p < .001) followed by difficulty finding equipment ( β = −.21, p = .05). Discussion: Time constraints may be the most important influence on HH adherence among the determinants investigated. Future researchers should consider employing theoretical models to aid a more comprehensive understanding of the psychology underlying HH adherence and HH interventions.