Sleep disturbance mediates the link between both self-compassion and self-criticism and psychological distress during prolonged periods of stress.

Poor sleep and subsequent decline in mental health often occur during times of prolonged stress, such as a pandemic. Self-compassion is linked with improved sleep and better mental health, while self-criticism is linked with poorer sleep and psychological distress. Given there is little evidence of the interrelationships of these constructs, we examined whether higher self-compassion or lower levels of self-criticism can reduce psychological distress directly and indirectly via sleep during times of prolonged stress. Structural equation modelling was used to analyse two samples (N = 722, Study 1, and N = 622, Replication Study) of university students during different stages of the pandemic. An aggregate psychological distress construct was calculated using depression, anxiety and stress measures. We created models that showed insomnia symptoms mediated the relationship between self-compassion/self-criticism and psychological distress. Sleep partially mediated both relationships, and this was the strongest effect in both samples. This suggests that improving self-compassion and reducing self-criticism will improve sleep, leading to reduced psychological distress. As our findings are robust and held at two time points, future research should investigate broader demographics and differing stress responses.

Understanding University Students during COVID-19: A Longitudinal Mixed-Methods Analysis of Their Experiences of Online Learning, Mental Health, Academic Engagement, and Academic Self-Efficacy.

INTRODUCTION: Research has consistently demonstrated that the COVID-19 pandemic, and resulting sudden shift to online learning (OL), had detrimental impacts on the motivation and mental health of university students. To date however this research has been cross-sectional and quantitative. METHOD: This study employed a mixed-methods design to examine the experiences of students at a large national Australian University both at the outset of the pandemic in 2020 (n = 824) and again 6 months later (n = 254) at the conclusion of their academic year. RESULTS: Key findings from this study highlighted that despite quantitative findings suggesting poorer attitudes toward learning during the pandemic, qualitatively students perceived both positives and negatives to studying online. The qualitative results further highlighted that this experience was not the same for all and suggests the need to reconsider the standard approaches to offering support for students. CONCLUSION: Students reported poor mental health in both time points, but outlined avenues which improved not only their mental health but also their motivation for studying such as increased peer engagement and self-care activities. Students reported that OL negatively impacted on both their engagement with studies and their mental health, highlighting the need for universities to prioritize supporting their students' mental health as much as their development of academic skills.

Using a mobile health device to monitor physiological stress for serious mental illness: A qualitative analysis of patient and clinician-related acceptability.

OBJECTIVE: There is growing interest in using mobile health (mHealth) devices to monitor physiological stress associated with mental deterioration. Research is currently examining whether physiological information returned to individuals with serious mental illness (SMI) and their clinicians enhances early intervention. The aim of this study was to explore patient and clinician-related acceptability of an mHealth device to monitor stress for SMI. METHOD: Individuals with SMI and their clinicians at a community youth mental health service were shown how an mHealth device could be used to monitor stress. Focus groups and interviews regarding the acceptability of the mHealth device were then conducted with participants (N = 22). Content was transcribed and analyzed using an inductive thematic analysis focusing on perceptions of potential benefit, barriers and facilitators of uptake. RESULTS: Six themes were identified. Individuals with SMI and clinicians identified two themes related to benefits of the mHealth device: (a) self-monitoring improves symptom insight and (b) clinician monitoring as a benefit to treatment. They identified one barrier theme: (c) privacy and data misuse concerns. They also identified three facilitators of uptake: (d) ease of use, (e) engaging design and (f) procedural guidelines. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: The perceived benefits of passive physiological monitoring afforded by an mHealth device come with concerns regarding its privacy and the potential for ambiguity in the patient-clinician relationship. Results suggest the importance of codesign to ensure that it is secure, easy to use and engaging. (PsycInfo Database Record (c) 2022 APA, all rights reserved).