Pleasant emotions widen thought-action repertoires, develop long-term resources, and improve reaction time performance: A multi-study examination of the Broaden-and-Build theory among athletes

The authors investigated relationships between emotions, coping, and resilience across two studies. In Study 1a, 319 athletes completed dispositional questionnaires relating to the aforementioned constructs. In Study 1b, 126 athletes from Study 1a repeated the same questionnaires 6months later. In Study 2, 21 athletes were randomly allocated to an emotional (e.g., pleasant or unpleasant emotions) or control group and undertook a laboratory-based reaction-time task across three time points. Questionnaires and salivary cortisol samples were collected before and after each performance with imagery-based emotional manipulations engendered during the second testing session. Partial longitudinal evidence of the broaden-and-build effects of pleasant emotions was found. Pleasant emotions may undo lingering cognitive resource losses incurred from previous unpleasant emotional experiences. In Study 2, pleasant and unpleasant emotions had an immediate and sustained psychophysiological and performance impact. Taken together, this research supports the application of broaden-and-build theory in framing emotional interventions for athletes

Stress appraisals influence athletic performance and psychophysiological response during 16.1 km cycling time trials

Objectives: We examined how stress appraisals were associated with emotions, coping behaviours, as well as subjective and objective measures of performance.Design: Prospective field- and laboratory-based studies.Methods: In Study 1, 192 athletes completed process-oriented psychometrics pertaining to the aforementioned constructs throughout a sporting competition. Study 2 utilised an experimental design to assess the causal influence of stress appraisals on performance, cortisol, and psychological variables. Thirty gender-matched athletes were randomly assigned to either a stress appraisal (e.g., challenge, threat, benefit, or harm/loss) or the control group. Participants completed three 16.1km cycling time trials (TT) on a cycle ergometer, with their appropriate stress appraisal engendered via falsified performance feedback throughout the final TT. Salivary cortisol samples and psychometrics (e.g., appraisals, emotions, and coping) were collected before and after each TT.Results: The results of Study 1 revealed a sequential link between challenge stress appraisals and perceived goal attainment via pleasant emotions and task-oriented coping behaviours. Threat stress appraisals inversely related to goal attainment via unpleasant emotions and both distraction- and disengagement-oriented coping. In Study 2, no significant psychophysiological or performance differences were found across genders. The temporal orientation of stress appraisals influenced objective cycling TT performance. Benefit and harm/loss stress appraisals significantly facilitated or inhibited performance, respectively. Cortisol spikes were observed in the stress appraisal group’s threat, challenge, and benefit, with a decline detected within the harm/loss group. Whilst the process of winning is physiologically stressful, the fear of defeat may be more stressful than losing itself. Conclusion: Stress appraisals influence subjective and objective performance, as well as neuroendocrine and psychological responses to stress. Stress Appraisals Influence Athletic Performance and Psych

Intelligent Behaviour Analytics: A Novel Framework for Effective Leadership Style Transitioning

The last three decades saw a reliance on the use of personality tests by businesses and organisations trying to gain a competitive advantage in the market through avenues such as recruitment, team building, leadership development and culture alignment. The commissioning of early 20th Century personality models such as DISC and Myers-Briggs are claimed to provide valuable insights and benefits in various aspects of the employment process. They have however been controversially debated in the academic community due to issues surrounding validity and reliability. Discussions concerning leadership styles and leaders responsible for managing employees, are similarly indeterminate despite being subject to extensive research and analysis for many decades. Academics have yet to provide a comprehensive explanation of the holistic mechanisms underlying effective leadership. Instead, they have argued over factors such as a leader’s traits, attributes, power relations or unidimensional versus collaborative models of engaging a work force. Current leadership theory literature demonstrates a paucity of leader self-understanding and self-reflection. We consider these two attributes as fundamental qualities of effective leadership, whereby an individual can transform and enhance their use of any leadership style. In thispaper, we propose an advanced 21st Century solution that leverages the Intelligent Behaviour Analytics (IBA) framework, incorporating a deep and more effective understanding of leaders and their ability to transition between different leadershipstyles. Additionally, this framework offers methods for transitioning to more effective leadership styles based on situational requirements and takes into account a leader’s own emotional and behavioural registers. This approach offers a structured opportunity for leaders to identify any biases, understand the reasons that these may develop and furthermore, evaluate the efficacy of their own behavioural traits and the way they, as individuals interact, manage and lead a team. The IBA framework is a multi-stage, holistic approach that proposes to improve performance metrics, organisational culture, business outcomes and increased wellbeing

Qualitative Analysis of the Factors Associated with Whistleblowing Intentions among Athletes from Six European Countries

Although whistleblowing is thought to represent an effective mechanism for detecting and uncovering doping in sport, it has yet to become a widely adopted practice. Understanding the factors that encourage or discourage whistleblowing is of vital importance for the promotion of this practice and the development of pedagogical material to enhance the likelihood of whistleblowing. The current study employed a qualitative methodology to explore the personal and organisational factors that underpin intentions to blow the whistle or that may lead to engagement in whistleblowing behaviours in sport. Thirty-three competitive athletes across a range of sports took part in a semi-structured interview which sought to explore what they would do should they encounter a doping scenario. Content analysis revealed that whistleblowing is a dynamic process characterised by the interaction of a range of personal and organisational factors in determining the intention to report PED use. These factors included moral reasoning, a desire to keep the matter "in-house", perceived personal costs, institutional attitudes to doping, and social support. Analysis revealed a number of 'intervening events' (Ajzen, 1991), including a perceived lack of organisational protection (e.g., ethical leadership) within some sporting sub-cultures, which present an important obstacle to whistleblowing. The intention to report doping was underpinned by a "fairness loyalty trade-off" which involved athletes choosing to adhere to either fairness norms (which relate to a sense that all people and groups are treated equally) or loyalty norms (which reflect preferential treatment towards an in-group) when deciding whether they would blow the whistle. The promotion of fairness norms that emphasise a group's collective interests might encourage athletes to view whistleblowing as a means of increasing group cohesiveness and effectiveness and thereby increase the likelihood of this practice

Regression with Empirical Variable Selection: Description of a New Method and Application to Ecological Datasets

Despite recent papers on problems associated with full-model and stepwise regression, their use is still common throughout ecological and environmental disciplines. Alternative approaches, including generating multiple models and comparing them post-hoc using techniques such as Akaike's Information Criterion (AIC), are becoming more popular. However, these are problematic when there are numerous independent variables and interpretation is often difficult when competing models contain many different variables and combinations of variables. Here, we detail a new approach, REVS (Regression with Empirical Variable Selection), which uses all-subsets regression to quantify empirical support for every independent variable. A series of models is created; the first containing the variable with most empirical support, the second containing the first variable and the next most-supported, and so on. The comparatively small number of resultant models (n = the number of predictor variables) means that post-hoc comparison is comparatively quick and easy. When tested on a real dataset – habitat and offspring quality in the great tit (Parus major) – the optimal REVS model explained more variance (higher R2), was more parsimonious (lower AIC), and had greater significance (lower P values), than full, stepwise or all-subsets models; it also had higher predictive accuracy based on split-sample validation. Testing REVS on ten further datasets suggested that this is typical, with R2 values being higher than full or stepwise models (mean improvement = 31% and 7%, respectively). Results are ecologically intuitive as even when there are several competing models, they share a set of “core” variables and differ only in presence/absence of one or two additional variables. We conclude that REVS is useful for analysing complex datasets, including those in ecology and environmental disciplines

Proceedings of the 13th annual conference of INEBRIA

CITATION: Watson, R., et al. 2016. Proceedings of the 13th annual conference of INEBRIA. Addiction Science & Clinical Practice, 11:13, doi:10.1186/s13722-016-0062-9.The original publication is available at https://ascpjournal.biomedcentral.comENGLISH SUMMARY : Meeting abstracts.https://ascpjournal.biomedcentral.com/articles/10.1186/s13722-016-0062-9Publisher's versio