The COVID-19 pandemic presents challenges to the provision of community programs and access to mental health services for young people. We examined the feasibility, reach, and acceptability of multi-technology delivery of an integrated system that assesses and provides feedback on youth mental health and wellbeing and connects them to care within the context of a youth sports development program. The system was delivered via computer, telephone, and teleconference with 66 adolescent boys participating in a rugby league development program in three communities in Australia. Young people completed online wellbeing and mental health measures (Assess step), parents were provided with telephone feedback on results, support, and referral options (Reflect step), and youth received teleconferenced workshops and online resources (Connect step). The multi-technology delivery was feasible to implement, and reach was high, with barriers experienced at the Assess step but minimally experienced at the Reflect and Connect steps. Delivering the system via multiple forms of technology was rated as highly beneficial and enjoyable by young people. Players improved in self-reported prosocial behaviour, gratitude, and anxiety symptoms from pre- to post-program. Strong collaboration between researchers, organisational personnel, and community members is important for achieving these outcomes.

Repeated antigen testing of 12 severe acute respiratory coronavirus virus 2 (SARS-CoV-2)–positive nursing home residents using Abbott BinaxNOW identified 9 of 9 (100%) culture-positive specimens up to 6 days after initial positive test. Antigen positivity lasted 2–24 days. Antigen positivity might last beyond the infectious period, but it was reliable in residents with evidence of early infection.

The racial composition of couples is a salient indicator of race’s impact on mate selection, but how well do those in intimate partnerships know the racial identities of their partners? While prior research has revealed that an individual’s race may be perceived differently than how they identify, most of what is known comes from brief interactions, with less information on established relationships. This study examines whether discrepancies in the reports of a person’s race or ethnicity can be identified even within intimate relationships, as well as which relational, social, and attitudinal factors are predictive of divergent or concordant reports. We draw on the Fragile Families and Child Wellbeing Study (n=3467), a U.S.-based dataset that uniquely provides both the father’s self-reported race and Hispanic origin and the mother’s report of the father’s race and ethnicity. We compare reports of the father’s race/Hispanic origin from both parents to assess the extent of mismatch, and we distinguish between whether mothers view the father’s race as similar to or different from her own. We find roughly 14% of mothers provide a race and Hispanic origin that is inconsistent with the father’s report, with a large share reflecting differences in the self-identified and perceived race of fathers who are reported as Hispanic. Among mismatched reports, mothers are more likely to report a race/ethnicity for the father that matches her own, depressing the number reporting interracial unions. Perceptions of racial homogamy are especially likely when mothers view racial sameness as important to marriage. Further, mismatches are more common in the midst of weak relational ties (i.e. non-marital relationships) and are less common when both parents are college-educated. These findings reveal that intimate unions are a site where race is socially constructed and provide insight into how norms of endogamy manifest within formed relationships.

Systematic reviews and meta-analyses suggest that behaviour change interventions have modest effect sizes, struggle to demonstrate effect in the long term and that there is high heterogeneity between studies. Such interventions take huge effort to design and run for relatively small returns in terms of changes to behaviour.

So why do behaviour change interventions not work and how can we make them more effective? This article offers some ideas about what may underpin the failure of behaviour change interventions. We propose three main reasons that may explain why our current methods of conducting behaviour change interventions struggle to achieve the changes we expect: 1) our current model for testing the efficacy or effectiveness of interventions tends to a mean effect size. This ignores individual differences in response to interventions; 2) our interventions tend to assume that everyone values health in the way we do as health professionals; and 3) the great majority of our interventions focus on addressing cognitions as mechanisms of change. We appeal to people’s logic and rationality rather than recognising that much of what we do and how we behave, including our health behaviours, is governed as much by how we feel and how engaged we are emotionally as it is with what we plan and intend to do.

Drawing on our team’s experience of developing multiple interventions to promote and support health behaviour change with a variety of populations in different global contexts, this article explores strategies with potential to address these issues.

Adolescent dieting and disordered eating (DE) are risks for clinical eating disorders. In this five-wave longitudinal study, we tested gender-specific models linking early risk factors to temporal patterns of DE, considering appearance anxiety as a mediator. Participants were 384 Australian students (age 10 to 13; 45% boys) who reported their purging and skipping meals, experience with appearance-related teasing, media pressure, and appearance anxiety. Parents reported pubertal maturation and height/weight was measured. Gender differences in temporal patterns of DE were found and predictive models were tested using latent-variable growth curve and path models. Boys’ DE was generally stable over time; girls showed stability in purging but an average increase in skipping meals. Peer teasing, media pressure, and pubertal maturation were associated with more elevated initial DE in girls, and pubertal maturation was associated with a steeper increase in DE. For boys, body mass index had a direct positive association with DE. Appearance anxiety was associated with more DE, but there was only one significant indirect effect via anxiety, which was for boys’ pubertal maturation. Findings support the dominant role of social interactions and messages, as well as pubertal maturation, for girls’ DE and the prominence of physical risk factors for explaining boys’ DE.

Despite prenatal diagnosis, prenatal intervention, and immediate postnatal intervention, patients with hypoplastic left heart syndrome and intact or highly restrictive atrial septum have the highest risk for mortality. Charts for all infants diagnosed with hypoplastic left heart syndrome from 2009 to 2017 were retrospectively reviewed and compared, including pulmonary vein Doppler patterns on fetal echocardiogram and evidence of pulmonary lymphangiectasia on fetal MRI. Of the 81 newborns with hypoplastic left heart syndrome, we defined two groups. Group 1 patients had an adequate atrial septal communication (n = 69), while Group 2 met criteria for intact/restrictive septum (n = 12). No patient in Group 1 had a type C pulmonary vein Doppler pattern, while no patient in Group 2 had a type A pulmonary vein Doppler pattern. The two patients with pulmonary lymphangiectasia had type C pulmonary vein Doppler pattern and an intact atrial septum and did not survive. Survival to discharge for Group 1 was 83% compared to 58% for Group 2 (p = 0.116). Survival to stage 2 palliation was 71% for Group 1 compared to 50% for Group 2 (p = 0.186). Only 4 of the initial 12 patients from Group 2 are alive, which is an overall survival of 33%. Our experience supports previous evidence that fetal echocardiography can identify those patients with the greatest likelihood for postnatal intervention as well as those at highest risk for mortality. Fetal MRI is a novel imaging modality that may help providers separate patients at highest risk for mortality, regardless of pulmonary vein Doppler pattern.

The problem of plasma expansion into a vacuum is revisited with the addition of a finite boundary condition; an electrically insulated surface. As plasma expands towards a charge-accumulating surface, the leading electron cloud charges the surface negatively, which in turn repels electrons and attracts ions. This plasma–surface interaction is shown to result in a feedback process which accelerates the plasma expansion. In addition, we examine the decrease in (negative) surface potential and associated near-surface electron density. To investigate this plasma coupling with an electrically floating surface, we develop an analytic model including four neighbouring plasma regions: (i) undisturbed plasma, (ii) quasi-neutral self-similar expansion, (iii) ion front boundary layer and (iv) electron cloud. A key innovation in our approach is a self-contained analytic approximation of the ion front boundary layer, providing a spatially continuous electric field model for the early phase of bounded plasma expansion.

Stressful experiences affect biological stress systems, such as the hypothalamic–pituitary–adrenal (HPA) axis. Life stress can potentially alter regulation of the HPA axis and has been associated with poorer physical and mental health. Little, however, is known about the relative influence of stressors that are encountered at different developmental periods on acute stress reactions in adulthood. In this study, we explored three models of the influence of stress exposure on cortisol reactivity to a modified version of the Trier Social Stress Test (TSST) by leveraging 37 years of longitudinal data in a high-risk birth cohort (N = 112). The cumulative stress model suggests that accumulated stress across the lifespan leads to dysregulated reactivity, whereas the biological embedding model implicates early childhood as a critical period. The sensitization model assumes that dysregulation should only occur when stress is high in both early childhood and concurrently. All of the models predicted altered reactivity, but do not anticipate its exact form. We found support for both cumulative and biological embedding effects. However, when pitted against each other, early life stress predicted more blunted cortisol responses at age 37 over and above cumulative life stress. Additional analyses revealed that stress exposure in middle childhood also predicted more blunted cortisol reactivity.

The aim of this research was to look at the emergence of wearable technology and the internet of things (IoT) and their current and potential use in the health and care area. There is a wide and ever-expanding range of wearables, devices, apps, data aggregators and platforms allowing the measurement, tracking and aggregation of a multitude of health and lifestyle measures, information and behaviours. The use and application of such technology and the corresponding richness of data that it can provide bring the health and care insurance market both potential opportunities and challenges. Insurers across a range of fields are already engaging with this type of technology in their proposition designs in areas such as customer engagement, marketing and underwriting. However, it seems like we are just at the start of the journey, on a learning curve to find the optimal practical applications of such technology with many aspects as yet untried, tested or indeed backed up with quantifiable evidence. It is clear though that technology is only part of the solution, on its own it will not engage or change behaviours and insurers will need to consider this in terms of implementation and goals. In the first weeks of forming this working party, it became evident that the potential scope of this technology, the information already out there and the pace of development of it, is almost overwhelming. With many yet-unanswered questions the paper focuses on pulling together in one place relevant information for the consideration of the health and care actuary, and also to open the reader’s eyes to potential future innovations by drawing on use of the technology in other markets and spheres, and the “science fiction–like” new technology that is just around the corner. The paper explores:

• an overview of wearables and IoT and available measures,

• examples of how this technology is currently being used,

• data considerations,

• risks and challenges,

• future technology developments and

• what this may mean for the future of insurance.

The discovery of the first electromagnetic counterpart to a gravitational wave signal has generated follow-up observations by over 50 facilities world-wide, ushering in the new era of multi-messenger astronomy. In this paper, we present follow-up observations of the gravitational wave event GW170817 and its electromagnetic counterpart SSS17a/DLT17ck (IAU label AT2017gfo) by 14 Australian telescopes and partner observatories as part of Australian-based and Australian-led research programs. We report early- to late-time multi-wavelength observations, including optical imaging and spectroscopy, mid-infrared imaging, radio imaging, and searches for fast radio bursts. Our optical spectra reveal that the transient source emission cooled from approximately 6 400 K to 2 100 K over a 7-d period and produced no significant optical emission lines. The spectral profiles, cooling rate, and photometric light curves are consistent with the expected outburst and subsequent processes of a binary neutron star merger. Star formation in the host galaxy probably ceased at least a Gyr ago, although there is evidence for a galaxy merger. Binary pulsars with short (100 Myr) decay times are therefore unlikely progenitors, but pulsars like PSR B1534+12 with its 2.7 Gyr coalescence time could produce such a merger. The displacement (~2.2 kpc) of the binary star system from the centre of the main galaxy is not unusual for stars in the host galaxy or stars originating in the merging galaxy, and therefore any constraints on the kick velocity imparted to the progenitor are poor.

With European Laser Facilities such as the Extreme Light Infrastructure (ELI) and the Helmholtz International Beamline for Extreme Fields (HIBEF) scheduled to come online within the next couple of years, General Atomics, as a major supplier of targets and target components for the High Energy Density Physics community in the United States, is gearing up to meet their demand for large numbers of low cost targets. Using the production of a subassembly for the National Ignition Facility’s fusion targets as an example, we demonstrate that through automation of assembly tasks, the design of targets and their experimental setup can be fairly complex while keeping the assembly time and cost as a minimum. A six-axis Mitsubishi robot is used in combination with vision feedback and a force–torque sensor to assemble target subassemblies of different scales and designs with minimal change of tooling, allowing for design flexibility and short assembly setup times. Implementing automated measurement routines on a Nikon NEXIV microscope further reduces the effort required for target metrology, while electronic data collection and transfer complete a streamlined target production operation that can be adapted to a large variety of target designs.