Prioritising research funding for cardiovascular disease and diabetes in Australia.

The Targeted Translation Research Accelerator program was created to address cardiovascular disease and diabetes in Australia. To maximise the impact of the considerable investment in this program, a structured prioritisation project was undertaken to determine the highest priority health and medical unmet needs in cardiovascular disease and diabetes. The project was led by Monash University's Behaviour Works Australia in collaboration with Australian National University, Research Australia, and MTPConnect. We conducted an online survey with 318 experts and community representatives to generate a 'long list' of unmet needs for (1) cardiovascular disease; (2) diabetes; and (3) interactions in the pathogenesis of Type 1 diabetes, Type 2 diabetes, and cardiovascular disease. We then convened roundtables of clinical, research, and community leaders to discuss survey results. They prioritised unmet needs against six predefined criteria then discussed results. We present the final priority areas for funding. We demonstrate how a feasible, reproducible, and collaborative prioritisation methodology can be used when designing research funding programs. Such approaches can ensure that funding is directed towards projects that are valuable to the community and reflective of expert opinion.

When trust goes wrong: A social identity model of risk taking.

Risk taking is typically viewed through a lens of individual deficits (e.g., impulsivity) or normative influence (e.g., peer pressure). An unexplored possibility is that shared group membership, and the trust that flows from it, may play a role in reducing risk perceptions and promoting risky behavior. We propose and test a Social Identity Model of Risk Taking in eight studies (total N = 4,708) that use multiple methods including minimal group paradigms, correlational, longitudinal, and experimental designs to investigate the effect of shared social identity across diverse risk contexts. Studies 1 and 2 provided evidence for the basic premise of the model, showing that ingroup members were perceived as posing lower risk and inspired greater risk taking behavior than outgroup members. Study 3 found that social identification was a moderator, such that effect of shared group membership was strongest among high identifiers. Studies 4 and 5 among festival attendees showed correlational and longitudinal evidence for the model and further that risk-taking was mediated by trust, not disgust. Study 6 manipulated the mediator and found that untrustworthy faces were trusted more and perceived as less risky when they were ingroup compared with outgroup members. Studies 7 and 8 identified integrity as the subcomponent of trust that consistently promotes greater risk taking in the presence of ingroup members. The findings reveal that a potent source of risk discounting is the group memberships we share with others. Ironically, this means the people we trust the most may sometimes pose the greatest risk. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Research co-design in health: a rapid overview of reviews.

BACKGROUND: Billions of dollars are lost annually in health research that fails to create meaningful benefits for patients. Engaging in research co-design - the meaningful involvement of end-users in research - may help address this research waste. This rapid overview of reviews addressed three related questions, namely (1) what approaches to research co-design exist in health settings? (2) What activities do these research co-design approaches involve? (3) What do we know about the effectiveness of existing research co-design approaches? The review focused on the study planning phase of research, defined as the point up to which the research question and study design are finalised. METHODS: Reviews of research co-design were systematically identified using a rapid overview of reviews approach (PROSPERO: CRD42019123034). The search strategy encompassed three academic databases, three grey literature databases, and a hand-search of the journal Research Involvement and Engagement. Two reviewers independently conducted the screening and data extraction and resolved disagreements through discussion. Disputes were resolved through discussion with a senior author (PB). One reviewer performed quality assessment. The results were narratively synthesised. RESULTS: A total of 26 records (reporting on 23 reviews) met the inclusion criteria. Reviews varied widely in their application of 'research co-design' and their application contexts, scope and theoretical foci. The research co-design approaches identified involved interactions with end-users outside of study planning, such as recruitment and dissemination. Activities involved in research co-design included focus groups, interviews and surveys. The effectiveness of research co-design has rarely been evaluated empirically or experimentally; however, qualitative exploration has described the positive and negative outcomes associated with co-design. The research provided many recommendations for conducting research co-design, including training participating end-users in research skills, having regular communication between researchers and end-users, setting clear end-user expectations, and assigning set roles to all parties involved in co-design. CONCLUSIONS: Research co-design appears to be widely used but seldom described or evaluated in detail. Though it has rarely been tested empirically or experimentally, existing research suggests that it can benefit researchers, practitioners, research processes and research outcomes. Realising the potential of research co-design may require the development of clearer and more consistent terminology, better reporting of the activities involved and better evaluation.

Information Safety Assurances Increase Intentions to Use COVID-19 Contact Tracing Applications, Regardless of Autonomy-Supportive or Controlling Message Framing.

Promoting the use of contact tracing technology will be an important step in global recovery from the COVID-19 pandemic. Across two studies, we assessed two messaging strategies as motivators of intended contact tracing uptake. In one sample of 1117 Australian adults and one sample of 888 American adults, we examined autonomy-supportive and controlling message framing and the presence or absence of information safety as predictors of intended contact tracing application uptake, using an online randomized 2 × 2 experimental design. The results suggested that the provision of data safety assurances may be key in affecting people's intentions to use contact tracing technology, an effect we found in both samples regardless of whether messages were framed as autonomy-supportive or controlling. Those in high information safety conditions consistently reported higher intended uptake and more positive perceptions of the application than those in low information safety conditions. In Study 2, we also found that perceptions of government legitimacy related positively to intended application uptake, as did political affiliation. In sum, individuals appeared more willing to assent to authority regarding contact tracing insofar as their data safety can be assured. Yet, public messaging strategies alone may be insufficient to initiate intentions to change behavior, even in these unprecedented circumstances.

Risk and protective factors for mental health at a youth mass gathering.

BACKGROUND: Mass gatherings are well-documented for their public health risks; however, little research has examined their impact on mental health or focused on young people specifically. This study explores risk and protective factors for mental health at mass gatherings, with a particular focus on characterising attendees with high levels of psychological distress and risk taking. METHOD: Data collection was conducted in situ at "Schoolies", an annual informal week-long mass gathering of approximately 30,000 Australian school leavers. Participants were 812 attendees of Schoolies on the Gold Coast in 2015 or 2016 (74% aged 17 years old). RESULTS: In both years, attendee mental health was found to be significantly better than population norms for their age peers. Identification with the mass gathering predicted better mental health, and this relationship became stronger across the course of the mass gathering. Attendees with high levels of psychological distress were more likely to be male, socially isolated, impulsive, and in a friendship group where risk taking was normative. CONCLUSIONS: Mass gatherings may have a net benefit for attendee mental health, especially for those attendees who are subjectively committed to the event. However, a vulnerable subgroup of attendees requires targeted mental health support.

Social connectedness improves public mental health: Investigating bidirectional relationships in the New Zealand attitudes and values survey.

BACKGROUND: The importance of social connectedness in supporting public mental health is well established. However, the reverse causal pathway (that psychological ill-health leads to reduced social connectedness) remains a dominant perspective among mental health practitioners. Our analysis aimed to provide a rigorous test of the directionality of this relationship. METHOD: A cross-lagged panel analysis of a large longitudinal national probability sample ( N ≈ 21,227), the New Zealand Attitudes and Values Survey, was used to assess the bidirectional longitudinal relationship between social connectedness and mental health, controlling for baseline levels of both variables and demographics. RESULTS: Social connectedness was found to be a stronger and more consistent predictor of mental health year-on-year than mental health was of social connectedness. CONCLUSION: These results further demonstrate how the psychological resources conferred by social connectedness can act as a 'social cure' for psychological ill-health, and provide the strongest evidence to date for the direction of this relationship in the general community.

Predicting Facebook users' online privacy protection: risk, trust, norm focus theory, and the theory of planned behavior.

The present research adopts an extended theory of the planned behavior model that included descriptive norms, risk, and trust to investigate online privacy protection in Facebook users. Facebook users (N = 119) completed a questionnaire assessing their attitude, subjective injunctive norm, subjective descriptive norm, perceived behavioral control, implicit perceived risk, trust of other Facebook users, and intentions toward protecting their privacy online. Behavior was measured indirectly 2 weeks after the study. The data show partial support for the theory of planned behavior and strong support for the independence of subjective injunctive and descriptive norms. Risk also uniquely predicted intentions over and above the theory of planned behavior, but there were no unique effects of trust on intentions, nor of risk or trust on behavior. Implications are discussed.

A yellow filter improves response times to low-contrast targets and traffic hazards.

PURPOSE: Anecdotal evidence suggests that some sunglass users prefer yellow tints for outdoor activities, such as driving, and research has suggested that such tints improve the apparent contrast and brightness of real-world objects. The aim of this study was to establish whether yellow filters resulted in objective improvements in performance for visual tasks relevant to driving. METHODS: Response times of nine young (age [mean ± SD], 31.4 ± 6.7 years) and nine older (age, [mean ± SD], 74.6 ± 4.8) adults were measured using video presentations of traffic hazards (driving hazard perception task) and a simple low-contrast grating appeared at random peripheral locations on a computer screen. Response times were compared when participants wore a yellow filter (with and without a linear polarizer) versus a neutral density filter (with and without a linear polarizer). All lens combinations were matched to have similar luminance transmittances (~27%). RESULTS: In the driving hazard perception task, the young but not the older participants responded significantly more rapidly to hazards when wearing a yellow filter than with a luminance-matched neutral density filter (mean difference, 450 milliseconds). In the low-contrast grating task, younger participants also responded more quickly for the yellow filter condition but only when combined with a polarizer. Although response times increased with increasing stimulus eccentricity for the low-contrast grating task, for the younger participants, this slowing of response times with increased eccentricity was reduced in the presence of a yellow filter, indicating that perception of more peripheral objects may be improved by this filter combination. CONCLUSIONS: Yellow filters improve response times for younger adults for visual tasks relevant to driving.