University of Canberra Showcase

This datafile comprises secondary data extracted from intervention and experimental studies that were included in a systematic review of body image flexibility interventions. The review aimed to investigate: • How effective are body image flexibility interventions for improving health outcomes in young people? • Can body image flexibility interventions offer a protective function in the context of a body image threat? • What mechanisms account for the effectiveness of body image flexibility interventions? The datafile contains extracted quantitative data (sample sizes, means and standard deviations) from 23 studies included in the review. Intervention effects were calculated as standardised mean differences (SMD) between intervention and comparison conditions: (a) no/minimal intervention control (Control) or (b) other evidence-based intervention (predominantly dissonance-based interventions; DBI). If studies included both a no/minimal intervention control and EBI, results for each are included. If there were multiple active intervention arms, the one most consistent with other studies was selected. Likewise, if studies had multiple follow-up assessments, only the final measurement was included for analysis. This data can be used to calculate SMDs for post-intervention values and/or change scores for each of the outcome variables. The SMDs can then be aggregated and analysed quantitatively based on comparisons and outcomes of interest (see further explanation in Steps to re-produce). All outcome variables are continuous measures. The SMDs presented in this datafile were derived from change scores, measured as pre-to-post change or pre-to-follow-up change as obtained directly from the original study or calculated based on pre, post, and follow-up group means and standard deviations (see below for Steps to re-produce). SMDs are presented as Hedges' g effect size (ES) with associated standard errors (SE), confidence intervals (CI), and p-values (p), which were estimated in SPSS via meta-analysis of continuous outcomes using raw data. Individual effect estimates were calculated so that a positive SMD favoured the body image flexibility intervention over comparator (Control or EBI). Our review (Brichacek et al., under review) found initial evidence to support improvements in health outcomes, protection against exposure to sociocultural body image threats, and reduction in inflexible ways of relating to one’s internal experiences relative to no/minimal intervention controls. Additionally, comparison with other evidence-based interventions, including cognitive and dissonance-based programs, suggested comparable effects. As only three studies conducted mediation analysis, it is unclear whether changes in body image flexibility and/or inflexibility explained intervention effects, highlighting an important area for future research.

This statistical code was generated for the data analysis of three research studies as part of a PhD thesis titled: Who benefits most? Evaluating and understanding clinical and biomechanical outcomes following structured education and exercise therapy interventions for people with knee osteoarthritis. Study 2 (Chapter 5) was a methods paper titled " A statistical model of agreement in subjective rating scales—an exploration of the Kellgren-Lawrence radiological grading system." This paper outlines a workflow for a statistical modelling approach for defining radiological knee OA severity and rater agreement from the Kellgren-Lawrence (KL) system. The analysis utilises the cumulative-link model as implemented in 'brms' (https://doi.org/10.1177/2515245918823199). The data generated were used in study 3 and 4. Study 3 (Chapter 6) was a clinical outcomes study titled " The relationship between radiological OA severity or body weight and outcomes following a structured education and exercise therapy program (GLA:D®) for people with knee osteoarthritis." This pre-post study of 33 participants with knee OA evaluated the relationship between a person's body weight or radiological knee compartment severity and short-term outcomes following the GLA:D® program. The data and workflow for this study have been provided which includes the R code for all models and graphics. Study 4 (Chapter 7) was a biomechanical study titled " Knee joint moment changes during walking and chair-rise and the relationship to radiological knee OA severity and body weight following a structured education and exercise intervention (GLA:D®) for knee osteoarthritis". This pre-post study of 31 participants with knee OA evaluated knee joint moment changes during walking and chair-rise and the relationship to radiological knee OA severity and body weight following the GLA:D® intervention. The documents provided includes the preprocessing workflow that imports the original csv files generated from VICON and the code to generate the secondary parameters (such as peak values and total areas under the curve).

This dataset comprises all media releases, speeches, opinion pieces, and transcripts of interviews and doorstops released by the leaders of the two major parties, Scott Morrison and Albanese, through their websites during the 2022 Federal Election Campaign. They are organised by date. The original websites have sense been deleted. The data also includes the topic groupings that the authors used to undertake their analysis of these materials.

Interviews conducted with community sport clubs relating to policy implementation and advocacy for community sport

The present study aimed to investigate if EIH is enhanced by anodal tDCS over the motor cortex. It was hypothesised that an exercise task would produce a greater increase in pain thresholds when preceded by anodal tDCS compared to sham tDCS. An additional aim of this study was to assess the independent effect of tDCS on pain sensitivity. It was hypothesised that anodal tDCS would induce a significant decrease in pain sensitivity when compared to sham stimulation immediately after stimulation. The current study implemented a within-subjects, single-blinded, sham-controlled, randomised block design. Participants were required to attend the laboratory on three separate occasions; a familiarisation session and two experimental sessions corresponding to two different experimental conditions (anodal tDCS, sham tDCS). Study protocols followed those approved by the local human research ethics committee (Project ID: 11882). Each participant visited the laboratory on three separate occasions, with the two experimental conditions presented in a randomised order. Before each session, participants refrained from consuming caffeine or analgesic medications or engaging in vigorous exercise for at least 24 hours. All experimental protocols were conducted in the same temperature controlled (~ 23 ℃, 33% humidity) laboratory. All conditions were separated by at least two days to ensure recovery from the exercise task and to minimise carry-over effects of the stimulation.

Interviews conducted with community sport clubs relating to policy implementation and the potential for advocacy at community sport level

The present study aimed to extend the research of Pourmajidian et al. (2020) by investigating whether cathodal preconditioning enhances the effect of subsequent anodal tDCS on CSE and performance in a submaximal grip strength task. It was hypothesised that cathodal preconditioning would increase the effects of anodal tDCS on CSE when compared to conventional anodal tDCS and sham tDCS. Regarding exercise performance, it was hypothesised that cathodal preconditioning would increase the effect of subsequent anodal stimulation of the motor cortex on the time to exhaustion (TTE) in a submaximal isometric grip strength task beyond that seen after conventional anodal and sham tDCS. The current study implemented a within-subjects, single-blinded, sham-controlled, randomised block design. All experimental protocols were conducted in the same temperature controlled (~ 23 ℃, 33% humidity) laboratory. Participants were required to attend the laboratory on five separate occasions; a familiarisation session and four experimental sessions corresponding to four different experimental conditions (cathodal preconditioning, sham cathodal preconditioning, conventional, sham conventional). The study sample size, method and data analysies plan were pre-registered on Open Science Framework (OSF; https://osf.io/8vdma). The experimental protocol was approved by the local human research ethics committee (Project ID: 11882).

510 Years of acknowledgements, from multilinguistic literature, demonstrating that “democracy” means more than one thing and has been practiced in more than one place

This study investigates the features of fake news networks and how they spread during the 2020 South Korean election. Using Actor-Network Theory (ANT), we assessed the network's central players and how they are connected. Results reveal the characteristics of the videoclips and channel networks responsible for the propagation of fake news. Analysis of the videoclip network reveals a high number of detected fake news videos and a high density of connections among users. Assessment of news videoclips on both actual and fake news networks reveals that the real news network is more concentrated. However, the scale of the network may play a role in these variations. Statistics for network centralization reveal that users are spread out over the network, pointing to its decentralized character. A closer look at the real and fake news networks inside videos and channels reveals similar trends. We find that the density of the real news videoclip network is higher than that of the fake news network, whereas the fake news channel networks are denser than their real news counterparts, which may indicate greater activity and interconnectedness in their transmission. We also found that fake news videoclips had more likes than real news videoclips, whereas real news videoclips had more dislikes than fake news videoclips. These findings strongly suggest that fake news videoclips are more accepted when people watch them on YouTube. In addition, we used semantic networks and automated content analysis to uncover common language patterns in fake news which helps us better understand the structure and dynamics of the networks involved in the dissemination of fake news. The findings reported here provide important insights on how fake news spread via social networks during the South Korean election of 2020. The results of this study have important implications for the campaign against fake news and ensuring factual coverage.

Resources on the six key areas of eResearch for researchers at the University of Canberra: (1) Data management planning (2) Data storage (3) Software and tools (4) High performance computing (HPC) (5) Training and events (6) eResearch Committee This material has been collated to allow the disemination of other inaccessible guidance materials for other tertiary institutions to use, alter, or for general guidance.