A Personalized, Transdiagnostic Smartphone Intervention (Mello) Targeting Repetitive Negative Thinking in Young People With Depression and Anxiety: Pilot Randomized Controlled Trial.

BACKGROUND: Repetitive negative thinking (RNT) is a key transdiagnostic mechanism underpinning depression and anxiety. Using "just-in-time adaptive interventions" via smartphones may disrupt RNT in real time, providing targeted and personalized intervention. OBJECTIVE: This pilot randomized controlled trial evaluates the feasibility, acceptability, and preliminary clinical outcomes and mechanisms of Mello-a fully automated, personalized, transdiagnostic, and mechanistic smartphone intervention targeting RNT in young people with depression and anxiety. METHODS: Participants with heightened depression, anxiety, and RNT were recruited via social media and randomized to receive Mello or a nonactive control over a 6-week intervention period. Assessments were completed via Zoom sessions at baseline and at 3 and 6 weeks after baseline. RESULTS: The findings supported feasibility and acceptability, with high rates of recruitment (N=55), uptake (55/64, 86% of eligible participants), and retention (52/55, 95% at 6 weeks). Engagement was high, with 90% (26/29) and 59% (17/29) of the participants in the Mello condition still using the app during the third and sixth weeks, respectively. Greater reductions in depression (Cohen d=0.50), anxiety (Cohen d=0.61), and RNT (Cohen d=0.87) were observed for Mello users versus controls. Mediation analyses suggested that changes in depression and anxiety were accounted for by changes in RNT. CONCLUSIONS: The results indicate that mechanistic, targeted, and real-time technology-based solutions may provide scalable and effective interventions that advance the treatment of youth mental ill health. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12621001701819; http://tinyurl.com/4d3jfj9f.

Using a digital personal recovery resource in routine mental health practice: feasibility, acceptability and outcomes.

BACKGROUND: Digital technologies enable the dissemination of multimedia resources to support adults with serious mental illness in their self-management and personal recovery. However, delivery needs to accommodate engagement and accessibility challenges. AIMS: We examined how a digital resource, designed for mental health workers and consumers to use together in session, would be used in routine practice. METHODS: Thirty consumers and their workers participated. The web-based resource, Self-Management And Recovery Technology (SMART), was available to use within and between sessions, for a 6-month period. Workers initiated in-session use where relevant. Feasibility was explored via uptake and usage data; and acceptability and impact via questionnaires. A pre-post design assessed recovery outcomes for consumers and relationship outcomes for consumers and workers. RESULTS: In participating mental health practitioner-consumer dyads, consumers gave strong acceptability ratings, and reported improved working relationships. However, the resource was typically used in one-third or fewer appointments, with consumers expressing a desire for greater in-session use. Improvements in self-rated personal recovery were not observed, possibly contributed to by low usage. CONCLUSIONS: In-session use was found helpful by consumers but may be constrained by other demands in mental health care delivery: collaborative use may require dedicated staff time or more formal implementation.

Digital Interventions for Psychological Well-being in University Students: Systematic Review and Meta-analysis.

BACKGROUND: Life at university provides important opportunities for personal growth; however, this developmental phase also coincides with the peak period of risk for the onset of mental health disorders. In addition, specific university lifestyle factors, including impaired sleep and academic and financial stress, are known to exacerbate psychological distress in students. As a result, university students have been identified as a vulnerable population who often experience significant barriers to accessing psychological treatment. Digital psychological interventions are emerging as a promising solution for this population, but their effectiveness remains unclear. OBJECTIVE: This systematic review and meta-analysis aimed to assess digital interventions targeting psychological well-being among university students. METHODS: Database searches were conducted on December 2, 2021, via Embase, MEDLINE, PsycINFO, and Web of Science. RESULTS: A total of 13 eligible studies were identified, 10 (77%) of which were included in the meta-analysis. Mean pre-post effect sizes indicated that such interventions led to small and significant improvement in psychological well-being (Hedges g=0.32, 95% CI 0.23-0.4; P<.001). These effects remained, albeit smaller, when studies that included a wait-list control group were excluded (Hedges g=0.22, 95% CI 0.08-0.35; P=.002). An analysis of acceptance and commitment therapy approaches revealed small and significant effects (k=6; Hedges g=0.35, 95% CI 0.25-0.45; P<.001). CONCLUSIONS: Digital psychological interventions hold considerable promise for university students, although features that optimize service delivery and outcomes require further assessment. TRIAL REGISTRATION: PROSPERO CRD42020196654; https:/www.crd.york.ac.uk/prospero/display_record.php?RecordID=196654.

Barriers and facilitators to treatment seeking and engagement amongst women with complex trauma histories.

Complex traumatic experiences, such as childhood sexual and physical abuse, occur in approximately 13% of the Australian population and are more common in women. Despite the prevalence of complex trauma and the need for evidence-based services for survivors, no studies have explored treatment-related experiences of women with complex trauma in Australia. The aim of the current study was to identify barriers and facilitators to treatment seeking and engagement amongst women who have experienced complex trauma in Australia. Semi-structured interviews were conducted with 11 women with complex trauma histories who presented to a university outpatient psychology clinic. Content analysis was used to identify common barriers and facilitators to mental health treatment seeking and engagement amongst these women. Participants faced three key barriers when seeking treatment and engaging in mental health services: systemic issues, dissatisfaction with treatment and intrapersonal barriers (e.g. fear of the healthcare system). Appropriate support from supportive, committed health care workers was a facilitator to engagement and access. Findings from this study suggest that the mental health system in Australia may not be meeting the needs of women with complex trauma histories. Increasing access to affordable, trauma-informed care and bolstering providers' knowledge of complex trauma, may enable some of the barriers identified by participants to be overcome.

Engagement with online psychosocial interventions for psychosis: A review and synthesis of relevant factors.

BACKGROUND: Little is known about factors associated with engagement with online interventions for psychosis. This review aimed to synthesise existing data from relevant literature to develop a working model of potential variables that may impact on engagement with online interventions for psychosis. METHODS: Online databases were searched for studies relevant to predictors of engagement with online interventions for psychosis; predictors of Internet use amongst individuals with psychosis; and predictors of engagement with traditional psychosocial treatments for psychosis. Data were synthesised into a conceptual model highlighting factors relevant to engagement with online interventions for psychosis. RESULTS: Sixty-one studies were identified. Factors relevant to engagement related directly to the impact of psychosis, response to psychosis, integration of technology into daily lives and intervention aspects. CONCLUSION: While several candidate predictors were identified, there is minimal research specifically investigated predictors of engagement with online interventions for psychosis. Further investigation examining both individual- and intervention-related factors is required to inform effective design and dissemination of online interventions for psychosis.

Engaging With a Web-Based Psychosocial Intervention for Psychosis: Qualitative Study of User Experiences.

BACKGROUND: Web-based interventions are increasingly being used for individuals with serious mental illness, including psychosis, and preliminary evidence suggests clinical benefits. To achieve such benefits, individuals must have some level of engagement with the intervention. Currently, little is known about what influences engagement with web-based interventions for individuals with psychotic disorders. OBJECTIVE: This study aimed to explore users' perspectives on what influenced engagement with a web-based intervention for psychosis. METHODS: A qualitative design was employed using semistructured telephone interviews. Participants were 17 adults with psychosis who had participated in a trial examining engagement with a self-guided, web-based intervention promoting personal recovery and self-management of mental health. RESULTS: We identified 2 overarching themes: challenges to using the website and factors supporting persistence. Both of the main themes included several subthemes related to both user-related factors (eg, mental health, personal circumstances, approach to using the website) and users' experience of the intervention (eg, having experienced similar content previously or finding the material confronting). CONCLUSIONS: Individuals with psychosis experienced several challenges to ongoing engagement with a web-based intervention. Adjunctive emails present an important design feature to maintain interest and motivation to engage with the intervention. However, fluctuations in mental health and psychosocial difficulties are a significant challenge. Design and implementation considerations include flexible interventions with tailoring opportunities to accommodate changeable circumstances and individual preferences.

Predictors of overall and mental health-related internet use in adults with psychosis.

As digital interventions are beginning to be developed to support self-management of psychosis, it is important to understand how illness-related and individual factors may affect internet use and engagement with digital mental health resources among people with psychotic disorders. This study aimed to identify demographic, clinical, and personal variables associated with overall and mental health-related internet use in a sample of 189 adult community mental health service users with nonaffective and affective psychotic disorders. Among participants who regularly used the internet (87.3%), most (67.9%) reported using the internet for mental health information. Higher frequency of overall internet use was predicted by younger age, completion of post-secondary education, and less severe negative symptoms. Internet use for mental health information was predicted by younger age, higher levels of overall internet use, current productive employment, and higher loneliness. This study is the first to quantitatively examine how clinical and personal measures relate to overall and mental health-related internet use in people with psychosis. Although cognitive difficulties and negative symptoms impacted overall internet use, these disorder-related difficulties did not further impact internet use for mental health information. Digital mental health resources should be designed to optimise engagement for this population.

Predicting engagement with an online psychosocial intervention for psychosis: Exploring individual- and intervention-level predictors.

BACKGROUND: Individuals with psychosis demonstrate positive attitudes towards utilising digital technology in mental health treatment. Although preliminary research suggests digital interventions are feasible and acceptable in this population, little is known about how to best promote engagement with these resources. Candidate predictors include therapist support, sources of motivation and recovery style. Understanding what factors predict engagement will aid more effective design and implementation of digital interventions to improve clinical benefits. OBJECTIVE: This study aimed to investigate demographic, psychological, and treatment variables that predict overall and type of engagement with a psychosocial, online intervention for individuals with psychosis. METHODS: Ninety-eight participants with a history of psychosis were given access to a web program containing modules on self-management and recovery, which they were asked to use flexibly at their own pace. Activity was automatically logged by the system. Baseline measures of demographics, recovery style and motivation were administered, and participants were randomised to receive either website access alone, or website access plus weekly, asynchronous emails from an online coach over 12 weeks. Log and baseline assessment data were used in negative binomial regressions to examine predictors of depth and breadth of use over the intervention period. A logistic regression was used to examine the impact of predictor variables on usage profiles (active or passive). RESULTS: Depth and breadth of engagement were positively predicted by receiving email support, low levels of externally controlled motivations for website use, older age, and having a tertiary education. There was a significant interaction between level of controlled motivation and condition (+/-email) on breadth and depth of engagement: receiving asynchronous emails was associated with increased engagement for individuals with low, but not high, levels of externally controlled motivations. Receiving email support and more autonomous motivations for treatment predicted more active use of the website. CONCLUSIONS: Asynchronous email support can promote engagement with online interventions for individuals with psychosis, potentially enabling self-management of illness and improving clinical outcomes. However, those using online interventions due to external motivating factors, may have low levels of engagement with the intervention, irrespective of coaching provided. These findings may guide design and implementation of future online interventions in this population.

Neurocognitive and social cognitive predictors of cannabis use in first-episode psychosis.

BACKGROUND: Findings are unclear as to whether cannabis use is associated with better cognitive functioning in individuals with psychosis. OBJECTIVES: To elucidate the association between cannabis use, neurocognition and social cognition in first-episode psychosis (FEP). METHODS: Secondary data analysis was conducted on data from 133 FEP participants who had enrolled in a randomized controlled trial of a vocational intervention. Participants completed a neurocognitive and social cognitive battery and characteristics of cannabis use were documented (disorder, recency, frequency and dose). Principal axis factor analysis was used to determine the underlying structure of the cognitive batteries. Regression techniques were used to examine cognitive predictors of current cannabis use disorder (CUD), and recency and frequency of cannabis use. Bivariate correlations were used to examine associations between cognition and dose of cannabis consumption. RESULTS: Male gender (p=.037) was the only significant predictor of having a current CUD. Better processing speed (p=.022) and social cognition (p=.039), male gender (p<.001), and fewer negative symptoms (p=.036) predicted recency of cannabis use. Faster processing speed (p=.007) and male gender (p=.006) also predicted frequency of cannabis use. No variables were significantly associated with dose of cannabis consumption. CONCLUSIONS: Better social cognition and processing speed abilities predicting recency and frequency of cannabis use are consistent with cannabis users having higher cognitive abilities. A positive relationship between cannabis use and cognition may be the result of more drug taking opportunities in less cognitively impaired individuals with psychosis.

Early spring, severe frost events, and drought induce rapid carbon loss in high elevation meadows.

By the end of the 20th century, the onset of spring in the Sierra Nevada mountain range of California has been occurring on average three weeks earlier than historic records. Superimposed on this trend is an increase in the presence of highly anomalous "extreme" years, where spring arrives either significantly late or early. The timing of the onset of continuous snowpack coupled to the date at which the snowmelt season is initiated play an important role in the development and sustainability of mountain ecosystems. In this study, we assess the impact of extreme winter precipitation variation on aboveground net primary productivity and soil respiration over three years (2011 to 2013). We found that the duration of snow cover, particularly the timing of the onset of a continuous snowpack and presence of early spring frost events contributed to a dramatic change in ecosystem processes. We found an average 100% increase in soil respiration in 2012 and 2103, compared to 2011, and an average 39% decline in aboveground net primary productivity observed over the same time period. The overall growing season length increased by 57 days in 2012 and 61 days in 2013. These results demonstrate the dependency of these keystone ecosystems on a stable climate and indicate that even small changes in climate can potentially alter their resiliency.