Associations Between Interpretation Bias and Depression in Adolescents

Measures of mental imagery in emotional disorders: A COSMIN systematic review of psychometric properties

BACKGROUND

Dysfunctional imagery processes characterise a range of emotional disorders. Valid, reliable, and responsive mental imagery measures may support the clinical assessment of imagery and advance research to develop theory and imagery-based interventions. We sought to review the psychometric properties of mental imagery measures relevant to emotional disorders.

METHODS

A systematic review registered on the Open Science Framework was conducted using COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) guidance. Five databases were searched. COSMIN tools were used to assess the quality of study methodologies and psychometric properties of measures.

RESULTS

Twenty-three articles describing twenty-one self-report measures were included. Measures assessed various imagery processes and were organised into four groups based on related emotional disorders. Study methodological quality varied: measure development and reliability studies were generally poor, while internal consistency and hypothesis testing studies were higher quality. Most measurement properties assessed were of indeterminate quality.

CONCLUSION

Imagery measures were heterogenous and primarily disorder specific. Due to a lack of high-quality psychometric assessment, it is unclear whether most included imagery measures are valid, reliable, or responsive. Measures had limited evidence of content validity suggesting further research could engage clinical populations to ensure their relevance and comprehensiveness.

Clinical effectiveness and cost-effectiveness of a brief accessible cognitive behavioural therapy programme for stress in school-aged adolescents (BESST): a cluster randomised controlled trial in the UK

BACKGROUND

Depression and anxiety are increasingly prevalent in adolescents. The Brief Educational Workshops in Secondary Schools Trial investigated the effectiveness of a brief accessible stress workshop programme for 16-18-year-olds. We aimed to investigate the clinical effectiveness and cost-effectiveness of the DISCOVER cognitive behavioural therapy (CBT) workshop on symptoms of depression in 16-18-year-olds at 6 months compared with treatment-as-usual.

METHODS

We conducted a multicentre, cluster randomised controlled trial in UK schools or colleges with sixth forms to evaluate clinical effectiveness and cost-effectiveness of a brief CBT workshop (DISCOVER) compared with treatment-as-usual. We planned to enrol 60 schools and 900 adolescents, using a self-referral system to recruit participants. Schools were randomised in a 1:1 ratio for participants to receive either the DISCOVER workshop or treatment-as-usual, stratified by site and balanced on school size and index of multiple deprivation. Participants were included if they were 16-18 years old, attending for the full school year, seeking help for stress, and fluent in English and able to provide written informed consent. The outcome assessors, senior health economist, senior statistician, and chief investigator were masked. People with lived experience were involved in the study. The primary outcome was depression symptoms measured with the Mood and Feelings Questionnaire (MFQ) at 6-month follow-up, in the intention-to-treat population of all participants with full covariate data. The trial was registered with the ISRCTN registry (ISRCTN90912799).

FINDINGS

111 schools were invited to participate in the study, seven were deemed ineligible, and 47 did not provide consent. Between Oct 4, 2021, and Nov 10, 2022, 933 students at 57 schools were screened for eligibility, seven were not eligible for inclusion, and 26 did not attend the baseline meeting and assessment, resulting in 900 adolescents participating in the study. The DISCOVER group included 443 participants (295 [67%] female and 136 [31%] male) and the treatment-as-usual group included 457 participants (346 [76%] female and 92 [20%] male). 468 (52%) of the 900 participants were White, and the overall age of the participants was 17·2 years (SD 0·6). 873 (97%) adolescents were followed up in the intention-to-treat population. The primary intention-to-treat analysis (n=854) found an adjusted mean difference in MFQ of -2·06 (95% CI -3·35 to -0·76; Cohen's d=-0·17; p=0·0019) at the 6-month follow-up, indicating a clinical improvement in the DISCOVER group. The probability that DISCOVER is cost- effective compared with treatment-as-usual ranged from 61% to 78% at a £20 000 to £30 000 per quality-adjusted life-year threshold. Nine adverse events (two of which were classified as serious) were reported in the DISCOVER group and 14 (two of which were classified as serious) were reported in the treatment-as-usual group.

INTERPRETATION

Our findings indicate that the DISCOVER intervention is modestly clinically effective and economically viable and could be a promising early intervention in schools. Given the importance of addressing mental health needs early in this adolescent population, additional research is warranted to explore this intervention.

FUNDING

National Institute for Health and Care Research Health Technology Assessment Programme.

Effects of positive and negative affect inductions on interpretive and response bias

Affective states and interpretations of ambiguous stimuli are inherently related constructs, although effects of induced affective states on interpretive and response biases have not been comprehensively explored. The present study examined the relationship between induced affective states and interpretive and response bias in a sample of 189 undergraduates. Participants completed an online study in which they were randomized into one of two mood induction conditions and subsequently completed an interpretive bias task. Results demonstrated significant condition differences in affect after the mood induction; the positive induction condition demonstrated significantly more positive mood and the negative condition demonstrated more negative mood. A significant difference between conditions emerged with respect to positive interpretive bias for non-social scenarios, with the positive mood induction condition demonstrating more positive interpretive bias to non-social situations than the negative induction condition (p = .04). The negative induction condition demonstrated significantly greater negative response bias for social scenarios (p = .03) and, unexpectedly, a significantly higher positive response bias for non-social scenarios (p = .05). Findings offer some support for the notion that inducing positive affect may promote more positive interpretations of ambiguous scenarios.

Neuropsychological Effects of Antidepressants: Translational Studies

Pharmacological treatments that improve mood were first identified serendipitously, but more than half a century later, how these drugs induce their antidepressant effects remains largely unknown. With the help of animal models, a detailed understanding of their pharmacological targets and acute and chronic effects on brain chemistry and neuronal function has been achieved, but it remains to be elucidated how these effects translate to clinical efficacy. Whilst the field has been dominated by the monoamine and neurotrophic hypotheses, the idea that the maladaptive cognitive process plays a critical role in the development and perpetuation of mood disorders has been discussed since the 1950s. Recently, studies using objective methods to quantify changes in emotional processing found acute effects with conventional antidepressants in both healthy volunteers and patients. These positive effects on emotional processing and cognition occur without a change in the subjective ratings of mood. Building from these studies, behavioural methods for animals that quantify similar cognitive affective processes have been developed. Integrating these behavioural approaches with pharmacology and targeted brain manipulations, a picture is beginning to emerge of the underlying mechanisms that may link the pharmacology of antidepressants, these neuropsychological constructs and clinical efficacy. In this chapter, we discuss findings from animal studies, experimental medicine and patients investigating the neuropsychological effects of antidepressant drugs. We discuss the possible neural circuits that contribute to these effects and discuss whether a neuropsychological model of antidepressant effects could explain the temporal differences in clinical benefits observed with conventional delayed-onset antidepressants versus rapid-acting antidepressants.

Neural correlations between cognitive deficits and emotion regulation strategies: understanding emotion dysregulation in depression from the perspective of cognitive control and cognitive biases

The link between cognitive function and emotion regulation may be helpful in better understanding the onset, maintenance, and treatment for depression. However, it remains unclear whether there are neural correlates between emotion dysregulation and cognitive deficits in depression. To address this question, we first review the neural representations of emotion dysregulation and cognitive deficits in depression (including deficits in cognitive control and cognitive biases). Based on the comparisons of neural representations of emotion dysregulation versus cognitive deficits, we propose an accessible and reasonable link between emotion dysregulation, cognitive control, and cognitive biases in depression. Specifically, cognitive control serves the whole process of emotion regulation, whereas cognitive biases are engaged in emotion regulation processes at different stages. Moreover, the abnormal implementation of different emotion regulation strategies in depression is consistently affected by cognitive control, which is involved in the dorsolateral, the dorsomedial prefrontal cortex, and the anterior cingulate cortex. Besides, the relationship between different emotion regulation strategies and cognitive biases in depression may be distinct: the orbitofrontal cortex contributes to the association between ineffective reappraisal and negative interpretation bias, while the subgenual prefrontal cortex and the posterior cingulate cortex underline the tendency of depressed individuals to ruminate and overly engage in self-referential bias. This review sheds light on the relationship between cognitive deficits and emotion dysregulation in depression and identifies directions in need of future attention.

Emerging Domain-Based Treatments for Pediatric Anxiety Disorders

Domain-specific cognitive training treatments for pediatric anxiety disorders rely on accurate and reliable identification of specific underlying deficits and biases in neurocognitive functions. Once identified, such biases can serve as specific targets for therapeutic intervention. Clinical translations typically reflect mechanized training protocols designed to rectify the identified biases. Here, we review and synthesize research on key neurocognitive processes that emerge as potential targets for specialized cognitive training interventions in pediatric anxiety disorders in the domains of attention, interpretation, error monitoring, working memory, and fear learning. For each domain, we describe the current status of target establishment (i.e., an association between pediatric anxiety and a specific neurocognitive process), and then review extant translational efforts regarding these targets and the evidence supporting their clinical utility in youths. We then localize each of the domains within the path leading to efficacious, evidence-supported treatments for pediatric anxiety, providing a roadmap for future research. The review indicates that specific cognitive targets in pediatric anxiety have been established in all the reviewed domains except for fear learning, where a clear target is yet to be elucidated. In contrast, evidence for clinical efficacy emerged only in the threat-related attention domain, with some preliminary findings in the domains of interpretation and working memory. The path to clinical translation in the domain of error monitoring is yet unclear. Implications and potential avenues for future research and translation are discussed.

"I Am a Total…Loser" - The Role of Interpretation Biases in Youth Depression

Negative interpretation biases have been found to characterize adults with depression and to be involved in the development and maintenance of the disorder. However, less is known about their role in youth depression. The present study investigated i) whether negative interpretation biases characterize children and adolescents with depression and ii) to what extent these biases are more pronounced in currently depressed youth compared to youth at risk for depression (as some negative interpretation biases have been found already in high-risk youth before disorder onset). After a negative mood induction interpretation biases were assessed with two experimental tasks: Ambiguous Scenarios Task (AST) and Scrambled Sentences Task (SST) in three groups of 9-14-year-olds: children and adolescents with a diagnosis of major depression (n = 32), children and adolescents with a high risk for depression (children of depressed parents; n = 48), as well as low-risk children and adolescents (n = 42). Depressed youth exhibited substantially more negative interpretation biases than both high-risk and low-risk groups (as assessed with both tasks), while the high-risk group showed more negative interpretation biases than the low-risk group only as assessed via the SST. The results indicate that the negative interpretation biases that are to some extent already present in high-risk populations before disorder onset are strongly amplified in currently depressed youth. The different findings for the two tasks suggest that more implicit interpretation biases (assessed with the SST) might represent cognitive vulnerabilities for depression whereas more explicit interpretation biases (assessed with the AST) may arise as a consequence of depressive symptomatology.

Age-related changes in cognitive biases during adolescence

INTRODUCTION

Age has been found to moderate the relation between cognitive biases and psychopathology, yet little is known about normative age-related change in these biases during adolescence. Adolescence might be a key developmental period for changes in negatively biased information-processing, and understanding the trajectories of these processes in a typically developing population is a pre-requisite for further comprehending their association with psychopathology.

METHODS

This study explores the effect of age on seven cognitive biases in a diverse community sample from the United Kingdom (N = 540) aged 10-17 years (309 were female) using self-report measures.

RESULTS

Age demonstrated a positive linear association with three biases: threat interpretation, negative attributions and overgeneralizing scores.

CONCLUSIONS

Important changes take place during adolescence that may increase young people's negative cognitive biases. Empirical data on normative age-related changes in cognitive biases should be integrated into theoretical models of biased information-processing and psychopathology.

The combined influence of cognitions in adolescent depression: Biases of interpretation, self-evaluation, and memory

OBJECTIVES

Depression is characterized by a range of systematic negative biases in thinking and information processing. These biases are believed to play a causal role in the aetiology and maintenance of depression, and it has been proposed that the combined effect of cognitive biases may have greater impact on depression than individual biases alone. Yet little is known about how these biases interact during adolescence when onset is most common.

METHODS

In this study, adolescents were recruited from the community (n = 212) and from a Child And Adolescent Mental Health Service (n = 84). Participants completed measures of depressive symptoms, interpretation bias, self-evaluation, and recall memory. These included the Mood and Feelings Questionnaire, Ambiguous Scenarios Test for Depression in Adolescents, Self-Description Questionnaire, and an immediate recall task. The clinically referred sample also took part in a formal diagnostic interview.

RESULTS

Individual cognitive biases were significantly intercorrelated and associated with depression severity. The combination of cognitive biases was a stronger predictor of depression severity than individual biases alone, predicting 60% of the variance in depression severity across all participants. There were two significant predictors, interpretation bias and negative self-evaluation; however, almost all of the variance was explained by negative self-evaluation.

CONCLUSIONS

The findings support the interrelationship and additive effect of biases in explaining depression and suggest that understanding the way in which cognitive biases interact could be important in advancing methods of identification, early intervention, and treatment.

PRACTITIONER POINTS

A combination of biases was a better predictor of depression symptom severity than individual biases. Interpretation and self-evaluation were better predictors of depression symptom severity than recall. Negative self-evaluation was the strongest individual predictor of depression symptom severity. Negative self-evaluation was able to classify depressed from non-depressed adolescents. The cross-sectional design of the study precludes any conclusions about the potential causal role of these variables. Different tasks were used to assess different types of cognitive bias meaning that the possible linear operation along an information processing 'pathway' could not be examined.