Annabel Songco

Background: Contact-based interventions, where individuals share their lived experiences of mental health difficulties and recovery, appear effective in reducing stigma. Objective: This study examined the effectiveness of a brief digitized contact-based intervention in reducing mental health stigma and improving help-seeking intentions in young adults. The study also sought a deeper understanding of the perspectives of young adults toward the contact-based intervention. Methods: A mixed methods study, using quantitative and qualitative analyses, examined mental health public stigma, self-stigma, and help-seeking attitudes in undergraduate psychology students (N=328) before, immediately after, and 1 week following the contact-based intervention, compared to an active control. The intervention comprised a brief video (8 min) of a mental health consumer sharing their lived experience of mental health difficulties and their recovery. Participants were invited to participate in a subsequent semistructured interview (n=12) that further explored their perspectives on the contact-based intervention. Results: Relative to control participants, those in the intervention group reported small improvements in mental health public stigma and help-seeking intentions using formal sources of help; however, this was not maintained at 1-week follow-up. There was limited evidence that the intervention improved self-stigma or help-seeking intentions using informal sources of help. Improvements in self-stigma were not evident following the intervention, but were observed 1 week later. Additional exploratory analyses showed that participants with high mental distress were more likely to provide negative evaluations of the intervention in terms of the helpfulness of the videos, relatability to the speaker, and showed a decrease in their desire to seek help from friends and family following the videos, compared to those with low mental health distress. Conclusions: Although this brief digitized contact-based intervention holds promise as an easily disseminated strategy for young adults to reduce mental health public stigma and improve formal help-seeking intentions, these effects show that overall improvements in public stigma and formal help-seeking intentions were short-lived. Furthermore, the potential negative impact of the intervention on informal help-seeking intentions in those with high mental health distress suggests a need to tailor interventions for young adults with high levels of anxiety or depression. The study has important implications for designing brief contact-based interventions and what young adults would benefit from the most over time.

During the COVID-19 pandemic, there has been a rise in common mental health problems compared to prepandemic levels, especially in young people. Understanding the factors that place young people at risk is critical to guide the response to increased mental health problems. Here we examine whether age-related differences in mental flexibility and frequency of use of emotion regulation strategies partially account for the poorer affect and increased mental health problems reported by younger people during the pandemic. Participants (N = 2,367; 11-100 years) from Australia, the UK, and US were surveyed thrice at 3-month intervals between May 2020 and April 2021. Participants completed measures of emotion regulation, mental flexibility, affect, and mental health. Younger age was associated with less positive (b = 0.008, p < .001) and more negative (b = -0.015, p < .001) affect across the first year of the pandemic. Maladaptive emotion regulation partially accounted for age-related variance in negative affect (β = -0.013, p = .020), whereby younger age was associated with more frequent use of maladaptive emotion regulation strategies, which, in turn, was associated with more negative affect at our third assessment point. More frequent use of adaptive emotion regulation strategies, and in turn, changes in negative affect from our first to our third assessment, partially accounted for age-related variance in mental health problems (β = 0.007, p = .023). Our findings add to the growing literature demonstrating the vulnerability of younger people during the COVID-19 pandemic and suggest that emotion regulation may be a promising target for intervention. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Anxiety disorders in children lead to substantial impairment in functioning and development. Even the most effective gold standard treatments for childhood anxiety have 50% remission rates, suggesting a critical need to improve current treatments. Optimising exposure, the key component of anxiety treatments, represents a promising way to do so. This chapter explains how to optimise exposure outcomes for childhood anxiety through inhibitory learning theory. This chapter describes the background of inhibitory learning, including its different components and the empirical evidence supporting it. We then discuss how to improve the formation of inhibitory associations through enhancing expectancy violation, the proposed mechanism underlying inhibitory learning. Strategies to enhance inhibitory learning for child anxiety treatment are provided. These include strategies to enhance the formation of inhibitory associations, such as psychoeducation, eliminating safety signals, deepened extinction, occasional reinforced extinction, and affect-based strategies. Additionally, strategies to enhance retrieval include variability, multiple contexts, and retrieval cues. Suggestions are made on how to adapt these strategies to child populations. Further, a clinical guide for using inhibitory learning strategies in child anxiety treatment is included as an appendix. This details how clinicians can utilise these strategies to enhance current treatments, including examples of case studies and scripts.

Depressed individuals show a wide range of difficulties in executive functioning (including working memory), which can be a significant burden on everyday mental processes. Theoretical models of depression have proposed these difficulties to be especially pronounced in affective contexts. However, evidence investigating affective working memory (WM) capacity in depressed individuals has shown mixed results. The preregistered study used a complex span task, which has been shown to be sensitive to difficulties with WM capacity in affective relative to neutral contexts in other clinical groups, to explore affective WM capacity in clinical depression. Affective WM capacity was compared between individuals with current depression (n = 24), individuals in remission from depression (n = 25), and healthy controls (n = 30). The results showed that, overall, WM capacity was more impaired in the context of negative distractor images, relative to neutral images. Furthermore, those with a lifetime history of depression (individuals with current depression and individuals remitted from depression), performed worse on the task, compared to healthy controls. However, there was no support for the greater disruption of WM capacity in affective compared to neutral contexts in those with a lifetime history of depression. These findings' implications for current models of depression are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The development of negative cognitive biases, together with symptoms of anxiety and depression, has yet to be investigated longitudinally. Using a three-wave design, the present study examined developmental trajectories of anxiety and depressive symptoms and the co-occurrence of cognitive biases, in a large normative sample of adolescents (N = 504). Data was drawn from the CogBIAS Longitudinal Study (CogBIAS-L-S), which assessed a wide range of psychological variables, including cognitive biases and self-reported anxiety and depressive symptoms, when adolescents were approximately 13, 14.5, and 16 years of age. The results showed that overall levels of anxiety were low and stable, while levels of depression were low but increased slightly at each wave. Growth mixture modeling identified four distinct developmental classes with regard to anxiety and depressive symptoms. Multiple group analysis further showed that class membership was related to the development of cognitive biases. The majority of the sample (75%) was characterised by ‘Low symptoms’ of anxiety and depression and showed low interpretation and memory biases for negative stimuli at each wave. A second class (11%) displayed ‘Decreasing anxiety symptoms’ and showed decreasing interpretation bias, but increasing memory bias. A third class (8%) displayed ‘Comorbid increasing symptoms’ and showed increasing interpretation and memory biases. While the fourth class (6%) displayed ‘Comorbid decreasing symptoms’ and showed decreasing interpretation and memory biases. This longitudinal study sheds light on healthy and psychopathological emotional development in adolescence and highlights cognitive mechanisms that may be useful targets for prevention and early interventions.

Resilience is a dynamic process depicted by better than expected levels of functioning in response to significant adversity. This can be assessed statistically, by taking the residuals from a model of psychological functioning regressed onto negative life events. We report the first study to investigate multiple cognitive factors in relation to this depiction of resilient functioning. Life events, internalizing symptoms, and a range of cognitive risk and protective factors were assessed in a large sample of adolescents (N = 504) across three waves spaced 12–18 months apart. Adolescents who displayed fewer symptoms than expected, relative to negative life events, were considered more resilient. Adolescents who displayed more symptoms than expected, relative to negative life events, were considered less resilient. All cognitive factors were associated with resilient functioning to differing degrees. These included memory bias, interpretation bias, worry, rumination, self-esteem, and self-reported trait resilience. Regression models showed that memory bias was a key factor explaining unique variance in prospective resilient functioning. In a subsequent cross-lagged panel model, memory bias and resilient functioning were reinforcing mechanisms across time points, supporting cognitive models of emotional resilience. This study adds to the literature, by highlighting key cognitive mechanisms as potential intervention targets

Worry is common in children and adolescents, yet some youth experience excessive worries that persist over time and cause significant distress. Whilst the literature on worry and generalised anxiety disorder (GAD) in adults is well established, relatively less is known about the cognitive mechanisms underlying child and adolescent worry. An influential cognitive model of adult pathological worry (Hirsch and Matthews in Behav Res Therapy 50:636–646, 10.1016/j.brat.2012.06.007, 2012) proposes that negative information-processing biases, reduced executive functions, and verbal worry are critical in the aetiology of GAD in adults. The current systematic review investigated whether this cognitive model of worry could be extended to understand child and adolescent worry. Following a systematic search of the literature and screening for eligibility, 30 studies were identified. Evidence indicates that negative information-processing biases and reduced executive functions play an important role in worry and GAD in children and adolescents. However, evidence that children and adolescents experience verbal worry is inconclusive. Building upon Hirsch and Matthews' cognitive model (Behav Res Therapy 50:636–646, 10.1016/j.brat.2012.06.007, 2012), we propose a model of child and adolescent worry to provide a guiding framework for future research. We conclude that cognitive models of worry should incorporate a developmental framework in order to provide greater insight into the mechanisms uniquely associated with worry in children and adolescents and help to identify the cognitive processes to target for early interventions and treatments.

Background: Adolescence is a time of considerable social, cognitive, and physiological development. It reflects a period of heightened risk for the onset of mental health problems, as well as heightened opportunity for flourishing and resilience. The CogBIAS Longitudinal Study (CogBIAS-L-S) aims to investigate psychological development during adolescence. Methods: We present the cohort profile of the sample (N = 504) across three waves of data collection, when participants were approximately 13, 14.5, and 16 years of age. Further, we present descriptive statistics for all of the psychological variables assessed including (a) the self-report mood measures, (b) the other self-report measures, and (c) the behavioural measures. Differential and normative stability were investigated for each variable, in order to assess (i) measurement reliability (internal consistency), (ii) the stability of individual differences (intra-class correlations), and (iii) whether any adolescent-typical developmental changes occurred (multilevel growth curve models). Results: Measurement reliability was good for the self-report measures (> .70), but lower for the behavioural measures (between .00 and .78). Differential stability was substantial, as individual differences were largely maintained across waves. Although, stability was lower for the behavioural measures. Some adolescent-typical normative changes were observed, reflected by (i) worsening mood, (ii) increasing impulsivity, and (iii) improvements in executive functions. Conclusions: The stability of individual differences was substantial across most variables, supporting classical test theory. Some normative changes were observed that reflected adolescent-typical development. Although, normative changes were relatively small compared to the stability of individual differences. The development of stable psychological characteristics during this period highlights a potential intervention window in early adolescence.

Optimal psychological development is dependent upon a complex interplay between individual and situational factors. Investigating the development of these factors in adolescence will help to improve understanding of emotional vulnerability and resilience. The CogBIAS longitudinal study (CogBIAS-L-S) aims to combine cognitive and genetic approaches to investigate risk and protective factors associated with the development of mood and impulsivity-related outcomes in an adolescent sample. CogBIAS-L-S is a three-wave longitudinal study of typically developing adolescents conducted over 4 years, with data collection at age 12, 14 and 16. At each wave participants will undergo multiple assessments including a range of selective cognitive processing tasks (e.g. attention bias, interpretation bias, memory bias) and psychological self-report measures (e.g. anxiety, depression, resilience). Saliva samples will also be collected at the baseline assessment for genetic analyses. Multilevel statistical analyses will be performed to investigate the developmental trajectory of cognitive biases on psychological functioning, as well as the influence of genetic moderation on these relationships. CogBIAS-L-S represents the first longitudinal study to assess multiple cognitive biases across adolescent development and the largest study of its kind to collect genetic data. It therefore provides a unique opportunity to understand how genes and the environment influence the development and maintenance of cognitive biases and provide insight into risk and protective factors that may be key targets for intervention.