Background: The COVID-19 pandemic has posed risks to public mental health worldwide. University students, who are already recognised as a vulnerable population, are at elevated risk of mental health issues given COVID-19-related disruptions to higher education. To assist universities in effectively allocating resources to the launch of targeted, population-level interventions, the current study aimed to uncover predictors of university students’ psychological wellbeing during the pandemic via a data-driven approach. Methods: Data were collected from 3973 Australian university students ((median age = 22, aged from 18 to 79); 70.6% female)) at five time points during 2020. Feature selection was conducted via least absolute shrinkage and selection operator (LASSO) to identify predictors from a comprehensive set of variables. Selected variables were then entered into an ordinary least squares (OLS) model to compare coefficients and assess statistical significance. Results: Six negative predictors of university students’ psychological wellbeing emerged: White/European ethnicity, restriction stress, perceived worry on mental health, dietary changes, perceived sufficiency of distancing communication, and social isolation. Physical health status, emotional support, and resilience were positively associated with students’ psychological wellbeing. Social isolation has the largest effect on students’ psychological wellbeing. Notably, age, gender, international status, and educational level did not emerge as predictors of wellbeing. Conclusion: To cost-effectively support student wellbeing through 2021 and beyond, universities should consider investing in internet- and tele- based interventions explicitly targeting perceived social isolation among students. Course-based online forums as well as internet- and tele-based logotherapy may be promising candidates for improving students’ psychological wellbeing.

University represents a time of both great uncertainty and change as well as a time of opportunity and learning. University students represent a population both at a higher risk of experiencing poor mental health and diagnosis and a population with relatively greater access and communication of both mental health literacy resources and mental health support services. Despite this, we consistently see low intention of help-seeking for mental health services or health services, with a clear preference shown for personal contacts such as friends or parents. To understand help-seeking intentions and their relationship with well-being, the current study explored two core hypotheses, when assessing a broad range of help-seeking options, the likelihood of seeking support from a range of sources will cluster together to create help-seeking groupings that can be further explored (1) and that across these help-seeking factors, there would be difference in intention score across students who fall within “at-risk,” “low,” or “normal to high” well-being groupings (2). Through a series of exploratory factor analysis (EFA) on a subsample (N = 178) and final confirmatory factor analysis (N = 1597) identified five help-seeking factors: Intimate Partner (single item), Personal Relations (friends, parents, and other relatives), External Health Service (external mental health provider and health provider), University Health Service (university mental health and health provider), and Digital and Distal Professional (digital apps, websites or forums, telehealth, religious leaders, and phone or online emergency services). To address hypothesis 2, a multivariate analysis of covariance was run to assess help-seeking intentions across factors between students with “at-risk” (N = 453), “low” (N = 484), or “normal to high” (N = 563) well-being scores. Although significant differences were found between groups on almost all help-seeking factors (except External Health Service), the differences between groups were small. However, consistently those with “normal to high” well-being demonstrated higher intention to seek help compared to “low” and “at-risk” groups. Across all groups, Personal Relations demonstrated the highest average help-seeking intention score and, in addition to supporting findings in previous literature, represents a potential “lowest hanging fruit” of help-seeking source for university students.

Background: The COVID-19 pandemic has contributed to a decline in mental health globally. Compared to the general population, university students have been identified as a group vulnerable to developing depression symptoms during the pandemic. Social isolation, a signature mental health consequence under physical-distancing regulations, is a known predictor of depression symptoms during the pandemic. Yet, more research is required to understand the mechanism that underpins the isolation–depression association and identify psychological factors that may attenuate the association. The current study aimed to understand the role of stress and resilience in the isolation–depression association among university students. Methods: Data were collected from 1718 university students between 28 and 31 May 2020. Partial least squares structural equation modelling (PLS-SEM) was used to examine the mediating role of perceived stress and the moderating role of resilience in the isolation–depression association. Results: We found that perceived stress partially mediated the association between social isolation and depression symptoms. Both the direct and indirect effects were moderated by participants’ resilience levels. Conclusions: Social isolation during the pandemic may contribute to depression symptoms both directly and through elevated stress levels. As an internal strength, resilience may buffer the adverse effects of isolation and stress on depression symptoms. Targeted interventions including mindfulness and physical exercise training may provide promising results in reducing depression symptoms among university students and should be considered by university administrators particularly during times of imposed physical-distancing measures.

BACKGROUND The emergence of digital tools in the health and mental health spaces is a necessary development to meet the growing need for preventative recognition and early care. Such tools must be appropriately tested throughout the development process to ensure they are fit for purpose and both empirically and clinically valid. However, it is also critical that these tools are developed in an iterative and user focused manner to ensure they meet user needs for usability and functionality. OBJECTIVE The current study explores the iterative testing of usage, usability and functionality key performance indicators of the preventative mental health app: Monash Thrive. It was hypothesised that there would be an improvement in all variables in the second iteration testing of the app compared to the initial iteration. METHODS Two iterative trials of the app were compared, including an initial trial of the minimal viable product (MVP) of the app across 4 weeks of use and a secondary trial of the beta version of the app, redeveloped post- MVP testing, across 12 weeks of use. RESULTS Despite redevelopment and resulting hypothesis there was no significant improvement observed across any variable when comparing the two trials. CONCLUSIONS Although testing hypotheses were not supported, these lack of findings demonstrate the core importance of iterative testing to ensure that changes or upgrades are delivering the desired improvement in usage, usability and functionality. CLINICALTRIAL Two trials were included in the current manuscript. Trial 1 was registered with the Australian and New Zealand Clinical Trials Registry (ACTRN12622001054707). Trial 2 was registered with the Australian and New Zealand Clinical Trials Registry (ACTRN12623000131651).

INPLASY202670089 Scoping review protocol of instruments measuring participant experience in work disability benefit systems Keywords: Participant-reported experience measures; work incapacity; disa…