Ecological Factors and Childhood Eating Behaviours at 5 Years of Age: findings from the ROLO longitudinal birth cohort study

Individual differences in children eating behaviours have been linked with childhood overweight and obesity. The determinants of childhood eating behaviours are influenced by a complex combination of hereditary and ecological factors. This study examines if key ecological predictors of childhood overweight; maternal socio-economic status (SES), children’s screen time, and childcare arrangements, are associated with eating behaviours in children aged 5-years-old

Writing in Britain and Ireland, c. 400 to c. 800

No abstract available

Reimagining the role of technology in sport officiating: how artificial intelligence (AI) supports the design and delivery of ecologically dynamic development processes

Purpose/Rationale: Sport officials operate within settings that dynamically change and shift. While they gather, synthesise, and store experiences related to task, performer, and environmental constraints, their internal mental models of judgement and decision-making individually evolve as they perform in different contexts. However, while a large body of work in psychology and behavioural economics has attempted to capture the way humans make decisions, there is a growing realisation among researchers, evaluators, and educational designers that quality improvement interventions cannot be understood outside of the context in which they occur [Ramaswamy, R., Reed, J., Livesley, N., Boguslavsky, V., Garcia-Elorrio, E., Sax, S., Houleymata D., Kimble L., Parry, G. (2018). Unpacking the black box of improvement. International Journal for Quality in Health Care, 30(suppl_1), 15–19. https://doi.org/10.1093/intqhc/mzy009]. Approach: In this futuristic proposal, we put forward our vision of how artificial intelligence technologies can unpack and support the internal collections of cognitive knowledge, context, task goals, and on-field experiences that influence sport officiating development. Findings: In what follows, we define what we mean by artificial intelligence and machine learning technologies, briefly highlighting their histories in sport analytics contexts. We outline how education is a promising field for the adoption of artificial intelligence/machine learning technologies and conclude by providing a theoretical case study scenario that describes a potential platform through which perspectives of environment, task and performer expertise might be developed for amateur and elite sport officials. Practical implications: Using advanced AI technologies as the basis through which to examine on-field data provides tremendous potential to theoretically tackle the idiosyncrasies of officiating development in a range of sports as it can close the gap between a descriptive analysis (i.e. understanding the interactions undertaken by officials in the presence of others), and a more prescriptive one (i.e. suggesting the actions such officials should have executed). Research contribution: We put forward that artificial intelligence technologies can offer sport organisations sophisticated, constructively based help with opening the “black box” of learning related to sport officiating development. By using ecological dynamics as the fundamental framework through which to filter the data collected, statistical information and qualitative ecological outcomes can be linked and managed into understandable and stable development content [Liu, A., Mahapatra, R. P., &amp; Mayuri, A. V. R. (2021). Hybrid design for sports data visualization using AI and big data analytics. Complex &amp; Intelligent Systems, https://doi.org/10.1007/s40747-021-00557-w], that strongly benefits the online development of amateur sport officials.</p

Description and outcome evaluation of Jigsaw: an emergent Irish mental health early intervention programme for young people.

Objectives: Jigsaw is an early intervention mental health service developed by Headstrong which provides support to young people, aged 12–25 years, in 10 communities across Ireland. This study aimed to profile young people who availed of Jigsaw, in one calendar year, and to provide evidence that Jigsaw’s model facilitates the reduction of psychological distress. Methods: Participants were 2420 young people who received support, directly or indirectly, from Jigsaw. Demographic details, including age, gender, presenting issues and referral pathways, captured on the Jigsaw Data System were described and psychological distress was assessed using the Clinical Outcomes in Routine Evaluation (CORE) questionnaires. Results: A gender balance was almost observed and the majority of participants were between 15 and 17 years old. The most common presenting issue was anxiety and the most common referral sources were self, parent, general practitioner, school and Adult Mental Health Services (AMHS). Participants reported high levels of psychological distress pre-intervention and levels were significantly lower post intervention. Conclusions: Although a lack of control group limits interpretation of the study findings, this study provides emerging evidence that Jigsaw is an accessible and effective service which plays a key role in the continuum of mental health care for young people in Ireland

Initial painful ulcerative scalp lesion measuring 20 × 15 millimetres (mm) (induration) and 6 × 6 mm (ulceration).

Initial painful ulcerative scalp lesion measuring 20 × 15 millimetres (mm) (induration) and 6 × 6 mm (ulceration).</p

Marked nuclear atypia and mitotic activity.

The concurrent diagnoses of Buruli ulcer (BU) and cutaneous squamous cell carcinoma (SCC) is a phenomenon not previously described, despite the fact that both conditions are highly prevalent in Australia. This report presents an intriguing case of concurrent diagnoses, with clues alluding to more than one skin condition being present. The case involves a 73-year-old man with BU diagnosed on the scalp, an atypical location, which led to the consideration of malignancy, ultimately revealing concurrent SCC. This case highlights the importance of considering both conditions in patients with epidemiological risk factors, necessitating multiple lines of investigation for accurate diagnosis. Medical practitioners must remain vigilant and incorporate this possibility into their diagnostic algorithms for suspicious skin lesions to optimize treatment and outcomes. This is the first recorded instance of simultaneous diagnosis, underlining the need for enhanced awareness and attention to these unique cases.</div