Panic disorder, characterised by sudden episodes of intense fear or anxiety, affects 1–4% of the population. Symptoms include rapid heartbeat, chest pain and fear of dying. Panic disorder often co-occurs with substance dependence and major depression. This review article examines pharmacological treatments, focusing on antidepressants and benzodiazepines, but also considering antipsychotics and anticonvulsants. It overviews the history of antidepressants and benzodiazepines in the treatment of panic disorder and their mechanisms of action. The results of a recent Cochrane Review network meta-analysis are then presented and contrasted with six current national and international treatment guidelines. Rankings of the various drugs in terms of efficacy, tolerability and safety are summarised, along with levels of evidence and lines of recommendation as a treatment option (first-, second or third-line, or reserved for treatment-resistant cases).

Cardiometabolic diseases, including type 2 diabetes (T2DM) and cardiovascular disease (CVD), are common. Approximately one in three deaths annually are caused by CVD in Aotearoa New Zealand (AoNZ)(1). The Mediterranean dietary pattern is associated with a reduced risk of cardiometabolic disease in epidemiological and interventional studies(2,3). However, implementing the Mediterranean diet into non-Mediterranean populations can be challenging(4). Some of these challeanges include facilitating consumption of unfamiliar foods and the cultural and social context of food consumption. AoNZ produces a rich source of high-quality foods consistent with a Mediterranean dietary pattern. He Rourou Whai Painga is collaborative project combining contributions from food industry partners into a Mediterranean Diet pattern and providing foods, recipes and other support to whole household/whānau. The aim was to test if a New Zealand food-based Mediterranean diet (NZMedDiet) with behavioural intervention improves cardiometabolic health and wellbeing in individuals at risk. This presentation will review the background to the research, the process of forming a collaboration between researchers and the food industry, the design and implementation of a complex study design (see protocol paper)(5), with results from the initial randomised controlled trial. We conducted several pilot studies(6,7,8) to inform the final design of the research, which was a combination of two randomised controlled trials (RCT 1 and 2) and a longitudinal cohort study. RCT-1 compared 12-weeks of the NZMedDiet to usual diet in participants with increased cardiometabolic risk (metabolic syndrome severity score (MetSSS) >0.35). The intervention group were provided with food and recipes to meet 75% of their energy requirements, supported by a behavioural intervention to improve adherence. The primary outcome measure was MetSSS after 12 weeks. Two hundred individuals with mean (SD) age 49.9 (10.9)yrs with 62% women were enrolled with their household/whānau. After 12 weeks, the mean (SD) MetSSS was 1.0 (0.7) in the control (n = 98) and 0.8 (0.5) in the intervention (n = 102) group; estimated difference (95% CI) of -0.05 (-0.16 to 0.06), p=0.35. A Mediterranean diet score (PyrMDS) was greater in the intervention group 1.6 (1.1 to 2.1), p<0.001, consistent with a change to a more Mediterranean dietary pattern. Weight reduced in the NZMedDiet group compared with control (-1.9 kg (-2.0 to -0.34)), p=0.006 and wellbeing, assessed by the SF-36 quality of life questionnaire, improved across all domains p<0.001. In participants with increased cardiometabolic risk, food provision with a Mediterranean dietary pattern and a behavioural intervention did not improve a metabolic risk score but was associated with reduced weight and improved quality of life.

We present the Evolutionary Map of the Universe (EMU) survey conducted with the Australian Square Kilometre Array Pathfinder (ASKAP). EMU aims to deliver the touchstone radio atlas of the southern hemisphere. We introduce EMU and review its science drivers and key science goals, updated and tailored to the current ASKAP five-year survey plan. The development of the survey strategy and planned sky coverage is presented, along with the operational aspects of the survey and associated data analysis, together with a selection of diagnostics demonstrating the imaging quality and data characteristics. We give a general description of the value-added data pipeline and data products before concluding with a discussion of links to other surveys and projects and an outline of EMU’s legacy value.

Approximately 15% of Australia’s workforce are shift workers, who are at greater risk for obesity and related conditions, such as type 2 diabetes and cardiovascular disease.(1,2,3) While current guidelines for obesity management prioritise diet-induced weight loss as a treatment option, there are limited weight-loss studies involving night shift workers and no current exploration of the factors associated with engagement in weight-loss interventions. The Shifting Weight using Intermittent Fasting in night shift workers (SWIFt) study was a randomised controlled trial that compared three, 24-week weight-loss interventions: continuous energy restriction (CER), and 500-calorie intermittent fasting (IF) for 2-days per week; either during the day (IF:2D), or the night shift (IF:2N). This current study provided a convergent, mixed methods, experimental design to: 1) explore the relationship between participant characteristics, dietary intervention group and time to drop out for the SWIFt study (quantitative); and 2) understand why some participants are more likely to drop out of the intervention (qualitative). Participant characteristics included age, gender, ethnicity, occupation, shift schedule, number of night shifts per four weeks, number of years in shift work, weight at baseline, weight change at four weeks, and quality of life at baseline. A Cox regression model was used to specify time to drop out from the intervention as the dependent variable and purposive selection was used to determine predictors for the model. Semi-structured interviews at baseline and 24-weeks were conducted and audio diaries every two weeks were collected from participants using a maximum variation sampling approach, and analysed using the five steps of framework analysis.(4) A total of 250 participants were randomised to the study between October 2019 and February 2022. Two participants were excluded from analysis due to retrospective ineligibility. Twenty-nine percent (n = 71) of participants dropped out of the study over the 24-week intervention. Greater weight at baseline, fewer years working shift work, lower weight change at four weeks, and women compared to men were associated with a significant increased rate of drop out from the study (p < 0.05). Forty-seven interviews from 33 participants were conducted and 18 participants completed audio diaries. Lack of time, fatigue and emotional eating were barriers more frequently reported by women. Participants with a higher weight at baseline more frequently reported fatigue and emotional eating barriers, and limited guidance on non-fasting days as a barrier for the IF interventions. This study provides important considerations for refining shift-worker weight-loss interventions for future implementation in order to increase engagement and mitigate the adverse health risks experienced by this essential workforce.

The treatment recommendation based on a network meta-analysis (NMA) is usually the single treatment with the highest expected value (EV) on an evaluative function. We explore approaches that recommend multiple treatments and that penalise uncertainty, making them suitable for risk-averse decision-makers. We introduce loss-adjusted EV (LaEV) and compare it to GRADE and three probability-based rankings. We define properties of a valid ranking under uncertainty and other desirable properties of ranking systems. A two-stage process is proposed: the first identifies treatments superior to the reference treatment; the second identifies those that are also within a minimal clinically important difference (MCID) of the best treatment. Decision rules and ranking systems are compared on stylised examples and 10 NMAs used in NICE (National Institute of Health and Care Excellence) guidelines. Only LaEV reliably delivers valid rankings under uncertainty and has all the desirable properties. In 10 NMAs comparing between 5 and 41 treatments, an EV decision maker would recommend 4–14 treatments, and LaEV 0–3 (median 2) fewer. GRADE rules give rise to anomalies, and, like the probability-based rankings, the number of treatments recommended depends on arbitrary probability cutoffs. Among treatments that are superior to the reference, GRADE privileges the more uncertain ones, and in 3/10 cases, GRADE failed to recommend the treatment with the highest EV and LaEV. A two-stage approach based on MCID ensures that EV- and LaEV-based rules recommend a clinically appropriate number of treatments. For a risk-averse decision maker, LaEV is conservative, simple to implement, and has an independent theoretical foundation.

Precision or “Personalized Medicine” and “Big Data” are growing trends in the biomedical research community and highlight an increased focus on access to larger datasets to effectively explore disease processes at the molecular level versus the previously common one-size-fits all approach. This focus necessitated a local transition from independent lab and siloed projects to a single software application utilizing a common ontology to create access to data from multiple repositories. Use of a common system has allowed for increased ease of collaboration and access to quality biospecimens that are extensively annotated with clinical, molecular, and patient associated data. The software needed to function at an enterprise level while continuing to allow investigators the autonomy and security access they desire. To identify a solution, a working group comprised of representation from independent repositories and areas of research focus across departments was established and responsible for review and implementation of an enterprise-wide biospecimen management system. Central to this process was the creation of a unified vocabulary across all repositories, including consensus around source of truth, standardized field definitions, and shared terminology.

This paper reports an experiment designed to assess the effects of a rotation in the marginal cost curve on convergence in a repeated Cournot triopoly. Increasing the cost curve's slope both reduces the serially-undominated set to the Nash prediction, and increases the peakedness of earnings. We observe higher rates of Nash equilibrium play in the design with the steeper marginal cost schedule, but only when participants are also rematched after each decision. Examination of response patterns suggests that the treatment with a steeper marginal cost curve and with a re-matching of participants across periods induces the selection of Nash Consistent responses.

This article replicates and “stress tests” a recent finding by Eckel and Grossman (2003) that matching subsidies generate substantially higher Charity Receipts than theoretically comparable rebate subsidies. In a first replication treatment, we show that most choices are consist with a “constant (gross) contribution” rule, suggesting that inattention to the subsidies’ differing net consequences may explain the higher revenues elicited with matching subsidies. Results of additional treatments suggest that (a) the charity dimension of the decision problems has little to do with the result, and (b) extra information regarding the net consequences of decisions reduces but does not eliminate the result.

The recent expansion of cross-cultural research in the social sciences has led to increased discourse on methodological issues involved when studying culturally diverse populations. However, discussions have largely overlooked the challenges of construct validity – ensuring instruments are measuring what they are intended to – in diverse cultural contexts, particularly in developmental research. We contend that cross-cultural developmental research poses distinct problems for ensuring high construct validity owing to the nuances of working with children, and that the standard approach of transporting protocols designed and validated in one population to another risks low construct validity. Drawing upon our own and others’ work, we highlight several challenges to construct validity in the field of cross-cultural developmental research, including (1) lack of cultural and contextual knowledge, (2) dissociating developmental and cultural theory and methods, (3) lack of causal frameworks, (4) superficial and short-term partnerships and collaborations, and (5) culturally inappropriate tools and tests. We provide guidelines for addressing these challenges, including (1) using ethnographic and observational approaches, (2) developing evidence-based causal frameworks, (3) conducting community-engaged and collaborative research, and (4) the application of culture-specific refinements and training. We discuss the need to balance methodological consistency with culture-specific refinements to improve construct validity in cross-cultural developmental research.

Bear baiting was a popular form of entertainment in Shakespearean England that was staged across the country but formalised in the Early Modern entertainment hub on Bankside, London. Here, the authors bring together zooarchaeological, stable isotope and archival evidence in the examination of faunal assemblages from nine archaeological sites on Bankside to elucidate characteristics indicative of bear baiting. In doing so, they present criteria for identifying bear-baiting assemblages in the archaeological record of England and beyond, even in the absence of associated documentary evidence.