Smartphone and Tablet Software Apps to Collect Data in Sport and Exercise Settings: Cross-sectional International Survey.

BACKGROUND: Advances in smartphone technology have facilitated an increase in the number of commercially available smartphone and tablet apps that enable the collection of physiological and biomechanical variables typically monitored in sport and exercise settings. Currently, it is not fully understood whether individuals collect data using mobile devices and tablets, independent of additional hardware, in their practice. OBJECTIVE: This study aims to explore the use of smartphone and tablet software apps to collect data by individuals working in various sport and exercise settings, such as sports coaching, strength and conditioning, and personal training. METHODS: A total of 335 practitioners completed an electronic questionnaire that surveyed their current training practices, with a focus on 2 areas: type of data collection and perceptions of reliability and validity regarding app use. An 18-item questionnaire, using a 5-point Likert scale, evaluated the perception of app use. RESULTS: A total of 204 respondents reported using apps to directly collect data, with most of them (196/335, 58.5%) collecting biomechanical data, and 41.2% (138/335) respondents reported using at least one evidence-based app. A binomial general linear model determined that evidence accessibility (ß=.35, 95% CI 0.04-0.67; P=.03) was significantly related to evidence-based app use. Age (ß=-.03, 95% CI -0.06 to 0.00; P=.03) had a significant negative effect on evidence-based app use. CONCLUSIONS: This study demonstrates that practitioners show a greater preference for using smartphones and tablet devices to collect biomechanical data such as sprint velocity and jump performance variables. When it is easier to access information on the quality of apps, practitioners are more likely to use evidence-based apps. App developers should seek independent research to validate their apps. In addition, app developers should seek to provide clear signposting to the scientific support of their software in alternative ways.

Staying Streetwise: Accurate Judgments of Approaching Aggression in Older Age.

The extant literature has generally demonstrated that young adults can detect the trait aggression of another person with limited information. However, there is little research that investigates the life course persistence of aggression detection accuracy. Here, we aimed to explore the accuracy of older adults at detecting potential aggressors. Thirty-nine older adults (M = 71.49, SD = 7.59) and eighty-seven young adults (M = 20.24, SD = 1.74) made intimidation judgments, via video recordings, for nine people (targets). 'Aggression detection accuracy' was shown in the relationship between the intimidation judgments made by participants and the targets' responses to the Buss-Perry Aggression Questionnaire. Both age groups were highly accurate in their recognition of trait aggression and accuracy was maintained into older age, with no difference in accuracy between the older and young adults. There was, however, more variability in the ratings given by the older adults compared to the young adults, suggesting less consensus in judgment for the older compared to the young group. Overall, the participants in this study were highly accurate at detecting trait aggression. There was no difference in average aggression detection between older and young adults but there was in sample agreement. These results are discussed in the context of age effects on intimidation, as well as research in accurate aggression detection.

Impulsivity and behaviour problems in dogs: A Reinforcement Sensitivity Theory perspective.

Trait impulsivity is an increasingly relevant topic for human and non-human animal personality research. There are similarities in dog and human manifestations of trait impulsivity at the behavioural, genetic, and neurobiological level. We investigated a well-validated measure of dog impulsivity and responsivity (the Dog Impulsivity Assessment Scale, DIAS) and a neuropsychological theory of human trait approach and avoidance (the Reinforcement Sensitivity Theory of personality, RST). Owners reported their dogs' dispositional behaviour on the DIAS, an RST scale modified to describe dogs' behaviour, and a list of common dog behaviour problems. In a sample of 730 dogs, we observed convergence between the RST and the DIAS. There was a negative correlation between RST 'Behaviour Inhibition System' and DIAS impulsivity factor ('Behavioural Regulation'). RST 'Behavioural Approach System' correlated positively with DIAS 'Responsiveness'. The RST 'Fight-Flight-Freeze System' (FFFS) and the DIAS 'Aggression and response to novelty factor were both distinct from other factors. However, the DIAS 'Aggression and response to novelty' factor and the RST FFFS explained different aspects of dog behaviour problems. Importantly, whilst the DIAS factors indicated tendencies towards avoidant behaviours, the FFFS discriminated between active and passive avoidance. The findings suggest a partial overlapping between the DIAS and RST scales, and highlights the utility of personality models in investigating behaviour problems in dogs.