"Lift Big-Get Big": The Impact of Images of Hyper-Muscular Bodies and Training Information.

Purpose: It has been suggested that the media influence beliefs regarding ideal body appearance and drive for muscularity whilst also offering recommendations for achieving this; most commonly heavy load free weight resistance training (RT). However, evidence for media effects are inconsistent in the literature. This study investigated this "lift big-get big" culture and effects of imagery on males' beliefs regarding RT. Method: An online survey was conducted with male participants (N = 110) randomized to different images (hyper-muscular/lean/control) and RT information ("lift big-get big"/"evidence based RT"/control). Results: Descriptive data suggested belief in necessity of heavy loads and free weights was pervasive. There was a small significant effect of condition for multivariate analysis of beliefs regarding RT. Univariate analyses showed significant effects of condition regarding the importance of free weights and heavy loads for strength, and free weights for hypertrophy. Small to moderate effects were found comparing "evidence-based RT" with a hyper-muscular physique to "lift big-get big" conditions with both hyper-muscular and lean physiques, the latter more likely to agree free weights and heavy loads are necessary for strength. A small effect was found comparing "lift big-get big" conditions with both hyper-muscular and lean physiques and the control condition, the former more likely to agree free weights are necessary for hypertrophy. Conclusions: Although hyper-muscular bodies alone did not influence RT beliefs, new information, i.e., "evidence-based RT" combined with a hyper-muscular physique had a small effect. The "lift big-get big" culture is perhaps pervasive enough that most conditions merely reinforced existing beliefs.

The Stopit! programme to reduce bullying and undermining behaviour in hospitals.

Purpose The impact of bullying and undermining behaviours on the National Health Service on costs, patient safety and retention of staff was well understood even before the Illing report, published in 2013, that reviewed the efficacy of training interventions designed to reduce bullying and harassment in the outputs. The purpose of this paper is to provide an example of a good programme well evaluated. Design/methodology/approach The methodology follows a broad realist approach, by specifying the underlying programme assumptions and intention of the designers. Three months after the event, Q-sort methodology was employed to group participants into one of three contexts - mechanism - output groups. Interviews were then undertaken with members of two of these groups, to evaluate how the programme had influenced each. Findings Q-sort identified a typology of three beneficiaries from the Stopit! workshops, characterised as professionals, colleagues and victims. Each group had acted upon different parts of the programme, depending chiefly upon their current and past experiences of bullying in hospitals. Research limitations/implications The paper demonstrates the effectiveness of using Q-sort method to identify relevant CMOs in a realist evaluation framework. Practical implications The paper considers the effectiveness of the programme to reduce bullying, rather than teach victims to cope, and how it may be strengthened based upon the research findings and Illing recommendations. Social implications Workplace bullying is invariably implicated in scandals concerning poor hospital practice, poor patient outcomes and staff illness. All too frequently, the sector responds by offering training in resilience, which though helpful, places the onus on the victim to cope rather than the employer to reduce or eliminate the practice. This paper documents and evaluates an attempt to change workplace practices to directly address bullying and undermining. Originality/value The paper describes a new programme broadly consistent with Illing report endorsements. Second, it illustrates a novel evaluation method that highlights rigorously the contexts, mechanisms and outcomes at the pilot stage of an intervention identifies contexts and mechanisms via factor analysis using Q-sort methodology.

Can subthreshold summation be observed with the Ehrenstein illusion?

Subthreshold summation between physical target lines and illusory contours induced by edges such as those produced in the Kanizsa illusion has been reported in previous studies. Here, we investigated the ability of line-induced illusory contours, using Ehrenstein figures, to produce similar subthreshold summation. In the first experiment, three stimulus conditions were presented. The target line was superimposed on the illusory contour of a four-arm Ehrenstein figure, or the target was presented between two dots (which replaced the arms of the Ehrenstein figure), or the target was presented on an otherwise blank screen (control). Detection of the target line was significantly worse when presented on the illusory contour (on the Ehrenstein figure) than when presented between two dots. This result was consistent for both curved and straight target lines, as well as for a 100 ms presentation duration and unlimited presentation duration. Performance was worst in the control condition. The results for the three stimulus conditions were replicated in a second experiment in which an eight-arm Ehrenstein figure was used to produce a stronger and less ambiguous illusory contour. In the third experiment, the target was either superimposed on the illusory contour, or was located across the central gap (illusory surface) of the Ehrenstein figure, collinear with two arms of the figure. As in the first two experiments, the target was either presented on the Ehrenstein figure, or between dots, or on a blank screen. Detection was better in the dot condition than in the Ehrenstein condition, regardless of whether the target was presented on the illusory contour or collinear with the arms of the Ehrenstein figure. These three experiments demonstrate the ability of reduced spatial uncertainty to facilitate the detection of a target line, but do not provide any evidence for subthreshold summation between a physical target line and the illusory contours produced by an Ehrenstein figure. The incongruence of these results with previous findings on Kanizsa figures is discussed.

Facial emotion recognition from moving and static point-light images in schizophrenia.

It is well established that schizophrenia is associated with difficulties recognising facial expressions of emotion. It has been suggested that this impairment could be specific to moving faces [Archer, J., Hay, D., Young, A., 1994. Movement, face processing and schizophrenia: evidence of a differential deficit in expression analysis. British Journal of Clinical Psychology, 33, 517-528]. The current study used point-light images to assess whether people with schizophrenia can interpret emotions from isolated patterns of facial movement in the absence of featural cues. Emotion recognition from moving and static images was assessed using a forced choice design with two sets of three emotions (anger, sadness and surprise; disgust, fear and happiness). The schizophrenia group was significantly better at recognising the emotions from moving images than static images. Although the control group was more accurate overall than the schizophrenia group, both groups presented the same characteristic patterns of performance across tasks. For example, in terms of which emotions were better recognised than others and the types of misidentifications that were made. Hence, it is concluded that people with schizophrenia are sensitive to the motion patterns which underlie individual expressions of emotion and can use this information to accurately recognise emotions.