Neurocognition and Depressive Symptoms have Unique Pathways to Predicting Different Domains of Functioning in Major Depressive Disorder.

BACKGROUND: Research has established the independent relationships between depressive symptoms to cognition and functioning in depression; however, little is known about the role of mediators in this relationship. We explored the role of neurocognitive abilities, depressive symptom severity, dysfunctional attitudes, and functional capacity in predicting two dimensions of daily functioning in individuals with major depressive disorder (MDD). METHODS: One hundred and twenty-four participants (mean age = 46.26, SD = 12.27; 56% female) with a diagnosis of MDD were assessed on a standard neurocognitive battery, self-reported depressive symptoms, dysfunctional attitudes, and clinician-rated functional impairment. They completed a performance-based assessment of functional competence. RESULTS: Confirmatory path analyses were used to model the independent and mediated effects of variables on two domains of functioning: social (relationships and social engagement) and productive (household and community activities). Cognition and depressive symptoms both predicted productive functioning, and dysfunctional attitudes mediated each of these relationships. Functional competence was a significant mediator in the relationship between neurocognition and productive functioning. Depressive symptoms and cognition were direct predictors of social functioning with no significant mediators. CONCLUSIONS: There are divergent pathways to different dimensions of daily functioning in MDD. Measurement implications include the consideration of multiple levels of predicting productive activities and more direct relationships with social outcomes. Treatments that directly target depressive symptoms and cognition might not generalize to improvements in everyday functioning if additional pathways to functioning are not addressed.

Face-to-face versus Video Teleconference Group Cognitive Behavioural Therapy for Anxiety and Related Disorders: A Preliminary Comparison.

OBJECTIVE: Telehealth is being increasingly incorporated into the delivery of mental health care and has received widespread attention during the COVID-19 pandemic for its ability to facilitate care during physical distancing restrictions. Videoconferencing is a common telehealth modality for delivering psychotherapy and has demonstrated similar outcomes to those of face-to-face therapy. Cognitive behavioural therapy (CBT) is the most common psychotherapy evaluated across various telehealth modalities; however, studies on CBT delivered via videoconference, particularly in a group therapy format, are lacking. Further, little research exists on videoconference group CBT for anxiety disorders. Accordingly, the present study compared the outcomes of group CBT for anxiety and related disorders delivered via videoconference versus face-to-face. METHOD: Using a non-randomized design, data on attendance, dropout, clinical outcomes, and functional impairment were collected from 413 adult outpatients of a tertiary care anxiety disorders clinic who attended a CBT group for panic disorder/agoraphobia, social anxiety disorder, generalized anxiety disorder (GAD), or obsessive-compulsive disorder delivered either face-to-face (pre-COVID-19 pandemic) or via videoconference (since the onset of COVID-19 pandemic). Outcomes were assessed using well-validated self-report measures. Data were collected pre-treatment, across 12 weekly sessions, and post-treatment. Intent-to-treat analyses were applied to symptom outcome measures. RESULTS: Face-to-face CBT conferred only a slight benefit over videoconference CBT for symptom outcomes across all groups, but when assessed individually, only the GAD group showed greater symptom improvement in the face-to-face format. Effect sizes for significant differences between the delivery formats were small. Participants in videoconference groups tended to have slightly higher attendance rates in some instances, whereas functional improvement and treatment dropout were comparable across the delivery formats. CONCLUSIONS: Results provide preliminary evidence that videoconference group CBT for anxiety and related disorders may be a promising and effective alternative to face-to-face CBT. Additional research is needed to establish equivalence between these delivery formats.

Systematic review of the effects of evidence-based psychotherapies on neurocognitive functioning in mood disorders.

OBJECTIVE: Neurocognitive impairment is considered a core feature of mood disorders. Research has shown that neurocognitive impairment often persists beyond mood symptom resolution and can have significant deleterious effects on interpersonal relationships, academic achievement, occupational functioning and independent living. As such, neurocognitive impairment has become an important target for intervention. In this systematic review, we aimed to examine the extant literature to ascertain whether current standard evidence-based psychotherapies can improve neurocognitive functioning in mood disorders. METHOD: Studies examining changes in neurocognitive functioning following evidence-based psychotherapy were identified using MEDLINE, PsycINFO and Web of Science databases. Given the heterogeneity of study procedures, treatment protocols and patient samples, a narrative rather than meta-analytic review technique was employed. RESULTS: Nineteen studies (21 articles) met inclusion criteria. There was preliminary evidence of improved executive functioning following evidence-based psychotherapy for Major Depressive Disorder and Bipolar Disorder. There was also some signal of reduced negative biases in emotional information processing following psychotherapy in depression. Due to methodological variability across studies however, it was difficult to draw clear conclusions. CONCLUSION: Findings from the current review suggest that evidence-based psychotherapies may influence some aspects of neurocognitive functioning in mood disorders. This continues to be an ongoing area of importance and warrants further research.

Self Efficacy in Depression: Bridging the Gap Between Competence and Real World Functioning.

We investigated the discrepancy between competence and real-world performance in major depressive disorder (MDD) for adaptive and interpersonal behaviors, determining whether self-efficacy significantly predicts this discrepancy, after considering depressive symptoms. Forty-two participants (Mage = 37.64, 66.67% female) with MDD were recruited from mental health clinics. Competence, self-efficacy, and real-world functioning were evaluated in adaptive and interpersonal domains; depressive symptoms were assessed with the Beck Depression Inventory II. Hierarchical regression analysis identified predictors of functional disability and the discrepancy between competence and real-world functioning. Self-efficacy significantly predicted functioning in the adaptive and interpersonal domains over and above depressive symptoms. Interpersonal self-efficacy accounted for significant variance in the discrepancy between interpersonal competence and functioning beyond symptoms. Using a multilevel, multidimensional approach, we provide the first data regarding relationships among competence, functioning, and self-efficacy in MDD. Self-efficacy plays an important role in deployment of functional skills in everyday life for individuals with MDD.

Disengagement from tasks as a function of cognitive load and depressive symptom severity.

INTRODUCTION: Depression is associated with impairment in cognition and everyday functioning. Mechanisms of cognitive dysfunction in depression and the factors that influence strategic deployment of cognitive abilities in complex environments remain elusive. In this study we investigated whether depression symptom severity is associated with disengagement from a working memory task (Paced Auditory Serial Addition Task; PASAT) with parametric adjustment of task difficulty. METHODS: 235 participants completed the Beck Depression Inventory, low and high cognitive load conditions of the PASAT, and quality of life. Cognitive disengagement was the sum of consecutive items in which participants did not proffer a response to the trial. RESULTS: Individuals with higher depression severity showed more cognitive disengagement on the high but not low cognitive load trial of the PASAT; they did not differ in number of correct responses. Increased disengagement from the low to high cognitive load was associated with more impaired quality of life. CONCLUSIONS: Depression severity is associated with increased disengagement from tasks as difficulty increases. These findings suggest the importance of measuring how cognitive skills are avoided in complex environments in addition to considering performance accuracy. Individuals with depressive symptoms might preferentially avoid cognitive tasks that are perceived as more complex in spite of intact ability.

Using a Virtual Environment to Examine How Children Cross Streets: Advancing Our Understanding of How Injury Risk Arises.

PURPOSE: To examine how risk of injury can arise for child pedestrians. METHODS: Using a highly immersive virtual reality system interfaced with a 3-D movement measurement system, younger (M = 8 years) and older (M = 10 years) children's crossing behaviors were measured under conditions that introduced variation in vehicle speed, distance, and intervehicle gaps. RESULTS: Children used distance cues in deciding when to cross; there were no age or sex differences. This increased risk of injury in larger intervehicle gaps because they started late and did not monitor traffic or adjust walking speed as they crossed. In contrast, injury risk in smaller intervehicle gaps of equal risk (i.e., same time to contact) occurred because crossing behavioral adjustments (starting early, increasing walking speed while crossing) were not sufficient. CONCLUSIONS: Dependence on distance cues increases children's risk of injury as pedestrians when crossing in a variety of traffic situations.

Innovations in using virtual reality to study how children cross streets in traffic: evidence for evasive action skills.

PURPOSE: Children in middle childhood are at an increased risk for injury in pedestrian environments. This study examined whether they are capable of showing evasive action (ie, adjusting crossing speed) to avoid injury when crossing streets. METHODS: The study used a fully immersive virtual reality (VR) system interfaced with a three-dimensional movement measurement system so that the actual crossing behaviour of 7-10-year-old children under different traffic conditions could be precisely measured. Relating outcomes to that which would have been obtained based on using the approach of estimating walking speed and assuming a constant speed provided insights into the realised benefits of the current movement monitoring VR system. RESULTS: Controlling for age and sex, children showed evasive action, crossing more quickly as traffic conditions became more risky. Using an average and assuming a constant walking speed underestimated actual walking speed, failing to capture evasive action and leading to overestimation of children being hit compared with the actual incidence of hits. CONCLUSIONS: VR technology is a valuable tool for assessing child pedestrian behaviour. However, systems need to allow the child to cross the street so their level of pedestrian skill is appropriately measured. The current findings provide the first evidence that children are capable of implementing evasive action in reaction to risky traffic conditions.

Disseminating action-based cognitive remediation to an early psychosis network: Clinician perspectives on feasibility and implementation barriers.

AIM: Action-based cognitive remediation (ABCR) is a group cognitive remediation treatment that aims to improve neurocognitive impairments experienced in patients with severe mental illness. Developed in research settings, ABCR is not yet widely available in community settings. As such, this study examines the feasibility of implementing ABCR in community clinics in an early psychosis network. METHODS: Eighty-five allied health professionals who work within an early psychosis intervention network were trained in the provision of ABCR. They were surveyed 6-months after training to gather information regarding their experience implementing ABCR within their clinical settings (e.g., barriers, perceived helpfulness of the treatment, modifications made to the manualized treatment). Access to ongoing training supports (e.g., treatment manual, asynchronous digital communication, conference calls) was also assessed. RESULTS: Fifty-one clinicians responded to the survey. Staff time, manager support, and equipment were rated as organizational barriers. Geographic location, other responsibilities, and motivation were rated as patient barriers. Over half of the sample modified the overall dose of ABCR to offer fewer sessions and/or shorter duration of sessions than the manualized approach. Clinicians that reduced the dose of ABCR reported significantly higher barriers with manager support than staff who delivered ABCR as manualized but did not report worse patient outcomes. We found asynchronous learning opportunities (i.e., manual, online discussion forum) were perceived as the most accessible and helpful methods of ongoing training support. CONCLUSIONS: The results provide preliminary information about barriers to implementing time-intensive cognitive treatments into clinical settings and may inform future training practices to increase successful implementation of cognitive remediation treatments.

Emotion regulation relates to clinical characteristics and quality of life but not daily functioning in psychosis spectrum outpatients.

Difficulties in emotion regulation (ER) can negatively impact the clinical course and outcomes of a range of psychiatric conditions, including psychosis spectrum disorders. Individuals with psychosis may exhibit poorer ER abilities, which have been associated with increased severity and distress of psychotic symptoms. A paucity of research has investigated the clinical correlates of ER in psychosis and the influence of these difficulties on indices of recovery, such as daily functioning and quality of life. In the present study, 59 outpatients presenting for Cognitive Behaviour Therapy for psychosis (CBTp) in a large psychiatric hospital completed an intake assessment of clinician-rated and self-reported measures prior to treatment. Poor ER abilities were positively correlated with positive symptoms (overall and delusions), social anxiety, depression, and self-reflectiveness and negatively correlated with quality of life and personal recovery. Multiple regression analyses showed ER was a significant predictor of quality of life but not daily functioning, which was predicted most by cognition and psychiatric symptoms. Overall, findings support the clinical utility of assessing emotion dysregulation in psychosis and provide a more nuanced understanding of how such challenges differentially influence recovery in psychosis, which can further inform treatment planning and intervention.

Self- versus informant-report of cognitive decline in mild cognitive impairment: Concordance with cognitive and functional performance.

OBJECTIVE: Debate continues regarding the use of self- versus informant-report to diagnose mild cognitive impairment (MCI) with studies reporting patients both overestimating and underestimating their abilities relative to informants. We assessed concordance of self- versus informant-report of cognitive decline with objective cognitive and functional performance in the participants of the preventing Alzheimer's dementia with cognitive remediation plus transcranial direct current stimulation in mild cognitive impairment and depression randomized controlled trial (PACt-MD). METHOD: Three hundred six participants with MCI, and their informants, reported on cognitive decline; the participants also completed a comprehensive assessment of objective cognitive and functional performance. Based on the discrepancy between self- versus informant-report of cognitive decline, we grouped participants into categories of underestimators, congruent estimators, and overestimators. RESULTS: Informant- but not self-reported cognitive decline significantly correlated with objective cognitive performance. There were 68 underestimators, 94 congruent estimators, and 144 overestimators. Underestimators had significantly lower objective cognitive performance and functional performance than congruent estimators and overestimators. Cognitive performance significantly predicted functional performance in all three groups, and the relationship between cognitive and functional performance was moderated by the discrepancy between self- and informant-report. CONCLUSIONS: We showed a poor concordance among self-report of cognitive decline and both informant-report of cognitive decline and cognitive performance in patients with MCI. Our findings highlight clinical and research value in the assessment and consideration of degree of discrepancy between self- and informant-reports of cognitive decline in MCI. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Language Analytics for Assessment of Mental Health Status and Functional Competency.

BACKGROUND AND HYPOTHESIS: Automated language analysis is becoming an increasingly popular tool in clinical research involving individuals with mental health disorders. Previous work has largely focused on using high-dimensional language features to develop diagnostic and prognostic models, but less work has been done to use linguistic output to assess downstream functional outcomes, which is critically important for clinical care. In this work, we study the relationship between automated language composites and clinical variables that characterize mental health status and functional competency using predictive modeling. STUDY DESIGN: Conversational transcripts were collected from a social skills assessment of individuals with schizophrenia (n = 141), bipolar disorder (n = 140), and healthy controls (n = 22). A set of composite language features based on a theoretical framework of speech production were extracted from each transcript and predictive models were trained. The prediction targets included clinical variables for assessment of mental health status and social and functional competency. All models were validated on a held-out test sample not accessible to the model designer. STUDY RESULTS: Our models predicted the neurocognitive composite with Pearson correlation PCC = 0.674; PANSS-positive with PCC = 0.509; PANSS-negative with PCC = 0.767; social skills composite with PCC = 0.785; functional competency composite with PCC = 0.616. Language features related to volition, affect, semantic coherence, appropriateness of response, and lexical diversity were useful for prediction of clinical variables. CONCLUSIONS: Language samples provide useful information for the prediction of a variety of clinical variables that characterize mental health status and functional competency.

What is normal cognition in depression? Prevalence and functional correlates of normative versus idiographic cognitive impairment.

OBJECTIVE: Traditional neuropsychological assessment methods identify a subpopulation of individuals with Major Depressive Disorder (MDD) who demonstrate cognitive functioning below population norms. An even larger proportion of those with MDD self-report problems with cognition that interfere with daily roles and responsibilities. We aim to test whether an intraindividual deviation of cognitive functioning relative to premorbid estimates (idiographic impairment) may better characterize challenges for functional recovery in MDD. METHOD: Adult participants with MDD (N = 111) who completed a baseline neuropsychological assessment battery for a cognitive remediation trial were used in analyses. We compared the frequency of cognitive impairment using the normative and idiographic approaches and examined how these indexes related to observed functioning, perceived functioning, and depression severity. RESULTS: While only 25% of the sample would be classified as cognitively impaired on a composite measure according to normative comparison standards, 62.2% of this group were classified as idiographically impaired using a conservative cut-off of at least 1 SD deviation below premorbid estimates. Idiographic cognitive impairment shared a stronger inverse relationship with perceived functional competence than normative cognitive impairment. Depressive symptoms did not significantly correlate with both normative and idiographic impairment. CONCLUSIONS: In MDD, reliance on assessment of contemporary cognitive functioning might underestimate rates of those who could be considered cognitively impaired. Consideration of idiographic impairment may help explain gaps between normatively defined cognitive ability with subjective complaints and disability in MDD. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Does Napping Enhance the Consolidation of Clinically Relevant Information? A Comparison of Individuals with Low and Elevated Depressive Symptoms.

PURPOSE: Sleep, both overnight and daytime naps, can facilitate the consolidation of declarative memories in healthy humans. However, it is unclear whether such beneficial effects of sleep occur in special populations, such as individuals with elevated neuropsychiatric symptoms, and if they apply to clinically relevant material that may have personal significance to those populations. METHODS: We examined memory retention over a 60-minute interval of wakefulness or nap opportunity in participants with low or elevated scores (≤13 and ≥21, respectively) on the Beck Depression Inventory-II (BDI-II). Memory for depression-related information was assessed by (a) free-recall of a video depicting a personal experience narrative of the impact of depression on cognition and workplace performance; and (b) a paired-associates task linking depression-related cognitive symptoms to appropriate coping strategies. RESULTS: The results showed no overall difference in recall between the nap and waking condition. However, across the full sample of participants, there were significant positive correlations between total sleep time and paired associates recall, and slow wave sleep (SWS) percentage and story free recall performance. Unexpectedly, participants with elevated BDI-II scores exhibited better free-recall performance compared to those with low scores. CONCLUSION: These results suggest that sleep, specifically SWS, may stabilize memories for clinically relevant information in populations with low and elevated depressive symptoms. The superior recall in participants with elevated-BDI scores may be related to the personal significance and stronger encoding of depression-related information. These observations raise the possibility that mnemonic deficits in depressed patients may be, at least in part, related to the type of information used to assess memory performance.

Mental health need of students at entry to university: Baseline findings from the U-Flourish Student Well-Being and Academic Success Study.

AIM: Transition to university is associated with unique stressors and coincides with the peak period of risk for onset of mental illness. Our objective in this analysis was to estimate the mental health need of students at entry to a major Canadian university. METHODS: After a student-led engagement campaign, all first year students were sent a mental health survey, which included validated symptom rating scales for common mental disorders. Rates of self-reported lifetime mental illness, current clinically significant symptoms and treatment stratified by gender are reported. The likelihood of not receiving treatment among those symptomatic and/or with lifetime disorders was estimated. RESULTS: Fifty-eight per cent of all first-year students (n = 3029) completed the baseline survey, of which 28% reported a lifetime mental disorder. Moreover, 30% of students screened positive for anxiety symptoms, 28% for depressive symptoms, and 18% for sleep problems with high rates (≅45%) of associated impairment. Only 8.5% of students indicated currently receiving any form of treatment. Females were more likely to report a lifetime diagnosis, anxiety and depressive symptoms, as well as current treatment. Over 25% of students reported lifetime suicidal thoughts and 6% suicide attempt(s). Current weekly binge drinking (25%) and cannabis use (11%) were common, especially in males. CONCLUSIONS: There is limited systematically collected data describing the mental health needs of young people at entry to university. Findings of this study underscore the importance of timely identification of significant mental health problems as part of a proactive system of effective student mental health care.

Clinical and methodological considerations for psychological treatment of cognitive impairment in major depressive disorder.

BACKGROUND: Cognitive impairment is considered a core feature of major depressive disorder (MDD) and research into psychological treatments aiming to address cognitive impairment are gaining momentum. Compared with the well-established research base of cognitive treatment trials in schizophrenia, including meta-analyses, mood disorder research is much more preliminary. AIMS: To focus on identifying the important factors to consider in developing larger-scale psychological treatment trials targeting cognitive impairment in mood disorders. Trial design recommendations have been published for cognitive treatment trials in bipolar disorder. METHOD: An in-depth discussion of methodological considerations in the development of cognitive treatment trials for MDD. RESULTS: Methodological considerations include: screening for, and defining, cognitive impairment; mood state when cognitive intervention begins; medication monitoring during cognitive interventions; use of concomitant therapy; level of therapist involvement; duration and dose of treatment; choice of specific cognitive training exercises; home practice; improving adherence; appropriate comparison therapies in clinical trials; and choice of primary outcomes. CONCLUSIONS: As well as guidance for clinical trial development, this review may be helpful for clinicians wanting to provide cognitive interventions for individuals with MDD.

Motivation and engagement during cognitive training for schizophrenia spectrum disorders.

BACKGROUND: Motivation and engagement are important factors associated with therapeutic outcomes in cognitive training for schizophrenia. The goals of the present report were to examine relations between objective treatment engagement (number of sessions attended, amount of homework completed) and self-reported motivation (intrinsic motivation and perceived competence to complete cognitive training) with neurocognitive and functional outcomes from cognitive training. METHODS: Data from a clinical trial comparing two cognitive training approaches in schizophrenia-spectrum disorders were utilized in the current report (n = 38). Relations were examined between baseline intrinsic motivation, perceived competence, homework completion, and session attendance with improvements in neurocognition, functional competence, and community functioning. RESULTS: Number of sessions attended (r = 0.38) and time doing homework (r = 0.51) were significantly associated with improvements in neurocognition. Homework completion was associated with change in community functioning at a trend-level (r = 0.30). Older age was associated with greater treatment engagement (ß = 0.37) and male biological sex was associated with greater self-reported motivation (ß = 0.43). Homework completion significantly mediated the relationship between session attendance and neurocognitive treatment outcomes. CONCLUSIONS: Objective measures of treatment engagement were better predictors of treatment outcomes than subjective measures of motivation. Homework completion was most strongly related to treatment outcomes and mediated the relationship between session attendance and treatment outcomes, suggesting continued engagement with cognitive stimulation may be an especially important component of cognitive remediation programs. Future research should examine methods to improve homework completion and session attendance to maximize therapeutic outcomes.

An examination of the moderating effects of neurophysiology on treatment outcomes from cognitive training in schizophrenia-spectrum disorders.

BACKGROUND: Impairments in neurocognition and community functioning are core features of schizophrenia and cognitive training techniques have been developed with the aim of improving these impairments. While cognitive training has produced reliable improvements in neurocognition and functioning, little is known about factors that moderate treatment response. Electroencephalographic (EEG) measures provide a neurophysiological indicator of cognitive functions that may moderate treatment outcomes from cognitive training. METHODS: Data from a clinical trial comparing two cognitive training approaches in schizophrenia-spectrum disorders were utilized in the current report. Cluster analysis was conducted to identify participant clusters based on baseline P300, mismatch negativity (MMN), and theta power during an n-back task, and the EEG measures were also examined as continuous predictors of treatment response. RESULTS: Three clusters were identified based on the baseline EEG variables; however, there were no significant differences in treatment response across the three clusters. Higher P300 amplitude and theta power during the n-back at baseline were significantly associated with greater improvements in a cognitive composite score post-treatment. None of the EEG measures were significantly associated with treatment outcomes in specific cognitive domains or community functioning. Change in EEG measures from baseline to post-treatment was not significantly associated with durability of cognitive or functional change at 12-week follow-up. CONCLUSIONS: Clusters derived from the EEG measures were not significantly associated with either neurocognitive or functional outcomes. P300 and n-back theta power may be associated with learning-related processes, which are important for acquisition and retention of skills during cognitive training programs. Future research should aim to identify at an individual level who is likely to respond to specific forms of cognitive enhancement.

A Randomized Controlled Trial of Executive Functioning Training Compared With Perceptual Training for Schizophrenia Spectrum Disorders: Effects on Neurophysiology, Neurocognition, and Functioning.

OBJECTIVE: Cognitive remediation is an efficacious treatment for schizophrenia. However, different theoretical approaches have developed without any studies to directly compare them. This is the first study to compare the two dominant approaches to cognitive remediation (training of executive skills and training of perceptual skills) and employed the broadest assessment battery in the literature to date. METHODS: Outpatients with schizophrenia spectrum disorders were randomly assigned to receive either executive training or perceptual training. Electrophysiological activity, neurocognition, functional competence, case manager-rated community functioning, clinical symptoms, and self-report measures were assessed at baseline, immediately after treatment, and at a 12-week posttreatment follow-up assessment. RESULTS: Perceptual training improved the EEG mismatch negativity significantly more than executive training immediately after treatment, although the effect did not persist at the 12-week follow-up. At the follow-up, executive training improved theta power during an n-back task, neurocognition, functional competence, and case manager-rated community functioning to a greater extent than perceptual training. These effects were not observed immediately after treatment. CONCLUSIONS: Both perceptual training and executive training improved neurophysiological mechanisms specific to their domains of intervention, although only executive training resulted in improvement in neurocognition and functioning. Improvements in favor of executive training did not appear immediately after treatment but emerged 12 weeks after the end of active treatment. Thus, short-term intervention targeting higher-order cognitive functions may prime further cognitive and functional improvement.

U-Flourish university students well-being and academic success longitudinal study: a study protocol.

INTRODUCTION: Over 30% of Canadians between the ages of 16 and 24 years attend university. This period of life coincides with the onset of common mental illnesses. Yet, data to inform university-based mental health prevention and early intervention initiatives are limited. The U-Flourish longitudinal study based out of Queen's University, Canada and involving Oxford University in the UK, is a student informed study funded by the Canadian Institute for Health Research Strategy for Patient Oriented Research (CIHR-SPOR). The primary goal of U-Flourish research is to examine the contribution of risk and resiliency factors to outcomes of well-being and academic success in first year students transitioning to university. METHODS AND ANALYSIS: The study is a longitudinal survey of all first-year undergraduate students entering Queen's University in the fall term of 2018 (and will launch at Oxford University in fall of 2019). In accordance with the CIHR-SPOR definitions, students represent the target population (ie, patient equivalent). Student peer health educators were recruited to inform the design, content and implementation of the study. Baseline surveys of Queen's first year students were completed in the fall of 2018, and follow-up surveys at the end of first year in the spring of 2019. Extensive student-led engagement campaigns were used to maximise participation rates. The baseline survey included measures of personal factors, family factors, environmental factors, psychological and emotional health, and lifestyle factors. Main outcomes include self-reported indicators of mental health at follow-up and mental health service access, as well as objective measures of academic success through linkage to university administrative and academic databases. A combination of mixed effects regression techniques will be employed to determine associations between baseline predictive factors and mental health and academic outcomes. ETHICS AND DISSEMINATION: Ethical approval was obtained by the Health Sciences and Affiliated Teaching Hospitals Research Ethics Board (HSREB) (#6023126) at Queen's University. Findings will be disseminated through international and national peer-reviewed scientific articles and other channels including student-driven support and advocacy groups, newsletters and social media.

Functional competence in major depressive disorder: Objective performance and subjective perceptions.

BACKGROUND: Major depressive disorder (MDD) is increasingly recognized as a disorder of everyday functioning. Multi-level approaches to investigating functioning have been employed in other conditions whereby competence (ability to perform living skills) is distinguished from real-world functioning, but not yet in MDD. We used a multidimensional (adaptive and interpersonal), multi-level (competence and performance) approach to investigate differences between those with MDD and healthy comparisons (HC) on measures of competence, functional disability, and self-perceived competence. METHODS: Between-group analysis of variance identified differences between MDD (n = 42) and HC (n = 24). Moderation analysis determined whether the strength of the relationship between competence accuracy and self-perception of performance was related to group membership. RESULTS: In adaptive and interpersonal domains, the MDD group performed significantly lower on competence tasks, endorsed greater functional disability, and reported lower self-perception of competence. Group membership did not moderate the relationship between competence and self-perceived competence in the adaptive domain. Significant moderation was observed in the interpersonal domain such that competence and self-perception of abilities converged in the HC, but not MDD, group. LIMITATIONS: A cross-sectional design precluded the ability to interpret causality of results. Functional disability was measured by interview, thereby susceptible to biases in self-report. CONCLUSIONS: A multi-level approach to assessing functioning in MDD was supported. Performance-based measures of functional competence are sensitive to MDD and useful for research trials and clinical work to objectively track everyday living skills. Objective measurement is further supported, as those with depression are less likely to accurately evaluate their own abilities, even after demonstrating skills.