Industry differences in psychological distress and distress-related productivity loss: A cross-sectional study of Australian workers

Objective: This research uses Australian survey data to identify industries with high rates of psychological distress, and to estimate productivity impacts in the form of work loss and cutback days. Methods: Analyzing cross-sectional data from the 2017/2018 National Health Survey, industry prevalence of psychological distress (Kessler Screening Scale) was compared using ordered logistic regression. Productivity outcomes were distress-related work loss days and work cutback days in the previous 4 weeks. Losses were analyzed using zero-inflated negative binomial regression. Results: The sample consisted of 9073 employed workers [4497 males (49.6%), 4576 females (50.4%)]. Compared to the reference industry, Health, the odds of very high distress for males were highest in Information media and telecommunications (OR 2.4; 95% CI 1.2–4.6) and Administrative and support services (OR 2.5; 95% CI 1.2–5.0), while for females the odds were highest in Accommodation and food services (OR 2.0; 95% CI 1.5–2.8) followed by Retail (OR 1.6; 95% CI 1.2–2.0). Very high distress was associated excess productivity losses. Industry of occupation did not impact on productivity loss over and above distress. Conclusions: Substantial psychological distress was reported which impacted on productivity. High-risk industries included Information media and telecommunications, Accommodation and food services, and Retail

The place of digital triage in a complex healthcare system: an interview study with key stakeholders in Australia's national provider

Background Digital triage tools such as telephone advice and online symptom checkers are now commonplace in health systems internationally. Research has focused on consumers’ adherence to advice, health outcomes, satisfaction, and the degree to which these services manage demand for general practice or emergency departments. Such studies have had mixed findings, leaving equivocal the role of these services in healthcare. Objective We examined stakeholders’ perspectives on Healthdirect, Australia's national digital triage provider, focusing on its role in the health system, and barriers to operation, in the context of the COVID-19 pandemic. Methods Key stakeholders took part in semi-structured interviews conducted online in the third quarter of 2021. Transcripts were coded and thematically analysed. Results Participants (n  =  41) were Healthdirect staff (n  =  13), employees of Primary Health Networks (PHNs; n  =  12), clinicians (n  =  9), shareholder representatives (n  =  4), consumer representatives (n  =  2) and other policymakers (n  =  1). Eight themes emerged from the analysis: (1) information and guidance in navigating the system, (2) efficiency through appropriate care, (3) value for consumers? (4) the difficulties in triage at a distance, (5) competition and the unfulfilled promise of integration, (6) challenges in promoting Healthdirect, (7) monitoring and evaluating digital triage services and (8) rapid change, challenge and opportunity from COVID-19. Conclusion Stakeholders varied in their views of the purpose of Healthdirect's digital triage services. They identified challenges in lack of integration, competition, and the limited public profile of the services, issues largely reflective of the complexity of the policy and health system landscape. There was acknowledgement of the value of the services during the COVID-19 pandemic, and an expectation of them realising greater potential in the wake of the rapid uptake of telehealth

APOE Genotype and Cardio-Respiratory Fitness Interact to Determine Adiposity in 8-Year-Old Children from the Tasmanian Infant Health Survey

APOE plays a well established role in lipid metabolism. Animal model evidence suggests APOE may also be associated with adiposity, but this has not been thoroughly investigated in humans. We measured adiposity (BMI, truncal fat mass, waist circumference), physical activity (PA), cardiorespiratory fitness and APOE genotype (E2, E3, E4) in 292 8-year-old children from the Tasmanian Infant Health Survey (TIHS), an Australian population-based prospective birth cohort. Our aims were to examine the association of APOE with child adiposity, and to examine the interplay between this association and other measured factors. We found that APOE was associated with child lipid profiles. APOE was also associated with child adiposity measures. The association was E4 allele-specific, with adiposity lower in the E4-containing group (BMI: Mean difference -0.90 kg/m2; 95% confidence intervals (CI) -1.51, -0.28; p = 0.004). The association of APOE4 with lower BMI differed by fitness status (difference in effect p = 0.002), and was more evident among the less fit (mean difference -1.78 kg/m2; 95% CI -2.74, -0.83; p<0.001). Additionally, associations between BMI and lipids were only apparent in those of lower fitness who did not carry APOE4. Similar overall findings were observed when truncal fat mass and waist circumference were used as alternative adiposity measures. APOE4 and cardiorespitatory fitness could interact to influence child adiposity. In studies addressing the genetic determinants of childhood obesity, the context of child fitness should also be taken into account

The Reality of Uncertainty in Mental Health Care Settings Seeking Professional Integration: A Mixed-Methods Approach

Introduction: Uncertainty is a common experience in the complex adaptive health system, particularly amongst mental health professionals structured for the delivery of integrated care. Increased understanding of uncertainty will not necessarily make things more certain, but can act to sensitize professionals to the challenges they face. The aim of this study is to examine the types and situations of uncertainty experienced by professionals working in a mental health setting based on an integrated care model. The research assesses the impact of experience and professional group on reported uncertainties. Methods: First, semi-structured interviews were undertaken with clinical and non-clinical staff to examine uncertainties experienced by professionals working in 'headspace' centres in Australia. Second, an online survey was conducted to quantify the experiences of uncertainty and explore associations. Results: Findings revealed three overarching and largely interrelated aspects of uncertainty, namely: decision-making; professional role; and external factors. Most commonly, staff reported experiences of uncertainty pertaining to deciding to accept a client into the service and then deciding how to treat them. This is often due to arbitrary, or overly-restrictive criteria in integrated care. Findings also suggested that uncertainty does not necessarily decline with experience and there were no significant differences in levels of uncertainty between clinical and non-clinical staff. Conclusions: This study highlights the importance of acknowledging uncertainties and actively clarifying role ambiguities when working alongside diverse professionals in mental health care

Correction to: Identification of novel Y chromosome encoded transcripts by testis transcriptome analysis of mice with deletions of the Y chromosome long arm.

Following publication of the original article [1], the following error was reported: The actin control panel in Fig. 3 of this paper is reproduced from Fig. 7 of Touré et al, 2004 [2] by kind permission of the Genetics Society of America. Touré et al, 2004 used Northern blotting to show that the Y-linked genes Ssty1 and Ssty2 have reduced expression in a range of mouse genotypes with deletions on the Y chromosome long arm. This paper shows that two novel genes, Sly and Asty are also present on mouse Yq and have reduced expression in these deleted genotypes. A further companion paper was published in Human Molecular Genetics (Ellis et al, 2005 [3]) showing that X-linked genes are upregulated in the various deleted genotypes. Since two of the genotypes concerned are sterile and very hard to generate, all the Northern blot experiments in these papers were performed on a single membrane that was stripped and re-probed with a range of different X- and Y-linked genes. The same beta-actin loading control image thus necessarily applies to all the data presented, and was shown in all three papers. We regret that this was not mentioned appropriately in the Methods and figure legends at the time of publication

Systems resilience in the implementation of a large-scale suicide prevention intervention: a qualitative study using a multilevel theoretical approach

Background Resilience, the capacity to adapt and respond to challenges and disturbances, is now considered fundamental to understanding how healthcare systems maintain required levels of performance across varying conditions. Limited research has examined healthcare resilience in the context of implementing healthcare improvement programs across multiple system levels, particularly within community-based mental health settings or systems. In this study, we explored resilient characteristics across varying system levels (individual, team, management) during the implementation of a large-scale community-based suicide prevention intervention. Methods Semi-structured interviews (n=53) were conducted with coordinating teams from the four intervention regions and the central implementation management team. Data were audio-recorded, transcribed, and imported into NVivo for analysis. A thematic analysis of eight transcripts involving thirteen key personnel was conducted using a deductive approach to identify characteristics of resilience across multiple system levels and an inductive approach to uncover both impediments to, and strategies that supported, resilient performance during the implementation of the suicide prevention intervention. Results Numerous impediments to resilient performance were identified (e.g., complexity of the intervention, and incompatible goals and priorities between system levels). Consistent with the adopted theoretical framework, indicators of resilient performance relating to anticipation, sensemaking, adaptation and tradeoffs were identified at multiple system levels. At each of the system levels, distinctive strategies were identified that promoted resilience. At the individual and team levels, several key strategies were used by the project coordinators to promote resilience, such as building relationships and networks and carefully prioritising available resources. At the management level, strategies included teambuilding, collaborative learning, building relationships with external stakeholders, monitoring progress and providing feedback. The results also suggested that resilience at one level can shape resilience at other levels in complex ways; most notably we identified that there can be a downside to resilience, with negative consequences including stress and burnout, among individuals enacting resilience. Conclusions The importance of considering resilience from a multilevel systems perspective, as well as implications for theory and future research, are discussed.publishedVersio

Genomic risk scores for juvenile idiopathic arthritis and its subtypes

Objectives: Juvenile idiopathic arthritis (JIA) is an autoimmune disease and a common cause of chronic disability in children. Diagnosis of JIA is based purely on clinical symptoms, which can be variable, leading to diagnosis and treatment delays. Despite JIA having substantial heritability, the construction of genomic risk scores (GRSs) to aid or expedite diagnosis has not been assessed. Here, we generate GRSs for JIA and its subtypes and evaluate their performance. Methods: We examined three case/control cohorts (UK, US-based and Australia) with genome-wide single nucleotide polymorphism (SNP) genotypes. We trained GRSs for JIA and its subtypes using lasso-penalised linear models in cross-validation on the UK cohort, and externally tested it in the other cohorts. Results: The JIA GRS alone achieved cross-validated area under the receiver operating characteristic curve (AUC)=0.670 in the UK cohort and externally-validated AUCs of 0.657 and 0.671 in the US-based and Australian cohorts, respectively. In logistic regression of case/control status, the corresponding odds ratios (ORs) per standard deviation (SD) of GRS were 1.831 (1.685 to 1.991) and 2.008 (1.731 to 2.345), and were unattenuated by adjustment for sex or the top 10 genetic principal components. Extending our analysis to JIA subtypes revealed that the enthesitis-related JIA had both the longest time-to-referral and the subtype GRS with the strongest predictive capacity overall across data sets: AUCs 0.82 in UK; 0.84 in Australian; and 0.70 in US-based. The particularly common oligoarthritis JIA also had a GRS that outperformed those for JIA overall, with AUCs of 0.72, 0.74 and 0.77, respectively. Conclusions: A GRS for JIA has potential to augment clinical JIA diagnosis protocols, prioritising higher-risk individuals for follow-up and treatment. Consistent with JIA heterogeneity, subtype-specific GRSs showed particularly high performance for enthesitis-related and oligoarthritis JIA

Environmental Sensor Placement with Convolutional Gaussian Neural Processes

Environmental sensors are crucial for monitoring weather conditions and the impacts of climate change. However, it is challenging to maximise measurement informativeness and place sensors efficiently, particularly in remote regions like Antarctica. Probabilistic machine learning models can evaluate placement informativeness by predicting the uncertainty reduction provided by a new sensor. Gaussian process (GP) models are widely used for this purpose, but they struggle with capturing complex non-stationary behaviour and scaling to large datasets. This paper proposes using a convolutional Gaussian neural process (ConvGNP) to address these issues. A ConvGNP uses neural networks to parameterise a joint Gaussian distribution at arbitrary target locations, enabling flexibility and scalability. Using simulated surface air temperature anomaly over Antarctica as ground truth, the ConvGNP learns spatial and seasonal non-stationarities, outperforming a non-stationary GP baseline. In a simulated sensor placement experiment, the ConvGNP better predicts the performance boost obtained from new observations than GP baselines, leading to more informative sensor placements. We contrast our approach with physics-based sensor placement methods and propose future work towards an operational sensor placement recommendation system. This system could help to realise environmental digital twins that actively direct measurement sampling to improve the digital representation of reality.Comment: In review for the Climate Informatics 2023 special issue of Environmental Data Scienc

Morning exercise mitigates the impact of prolonged sitting on cerebral blood flow in older adults

Preventing declines in cerebral blood flow is important for maintaining optimal brain health with aging. We compared the effects of a morning bout of moderate-intensity exercise, with and without subsequent light-intensity walking breaks from sitting, on cerebral blood velocity over 8 h in older adults. In a randomized crossover trial, overweight/obese older adults (n = 12, 70 ± 7 yr; 30.4 ± 4.3 kg/m2), completed three acute conditions (6-day washout); SIT: prolonged sitting (8 h, control); EX+SIT: sitting (1 h), moderate-intensity walking (30 min), followed by uninterrupted sitting (6.5 h); and EX + BR: sitting (1 h), moderate-intensity walking (30 min), followed by sitting (6.5 h) interrupted with 3 min of light-intensity walking every 30 min. Bilateral middle cerebral artery velocities (MCAv) were determined using transcranial Doppler at 13 time points across the day. The temporal pattern and average MCAv over 8 h was determined. The pattern of MCAv over 8 h was a negative linear trend in SIT (P < 0.001), but a positive quadratic trend in EX + SIT (P < 0.001) and EX + BR (P < 0.01). Afternoon time points in SIT were lower than baseline within condition (P ≤ 0.001 for all). A morning dip in MCAv was observed in EX + SIT and EX + BR (P < 0.05 relative to baseline), but afternoon time points were not significantly lower than baseline. The average MCAv over 8 h was higher in EX + SIT than SIT (P = 0.007) or EX + BR (P = 0.024). Uninterrupted sitting should be avoided, and moderate-intensity exercise should be encouraged for the daily maintenance of cerebral blood flow in older adults. The clinical implications of maintaining adequate cerebral blood flow include the delivery of vital oxygen and nutrients to the brain