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From anxious youth to depressed adolescents: Prospective prediction of 2-year depression symptoms via attentional bias measures.

ABSTRACT: Anxious youth are at heightened risk for subsequent development of depression; however, little is known regarding which anxious youth are at the highest prospective risk. Biased attentional patterns (e.g., vigilance and avoidance of negative cues) are implicated as key mechanisms in both anxiety and depression. Aberrant attentional patterns may disrupt opportunities to effectively engage with, and learn from, threatening aspects of the environment during development and/or treatment, compounding risk over time. Sixty-seven anxious youth (ages 9-14; 36 female) completed a dot-probe task to assess baseline attentional patterns provoked by fearful-neutral face pairs. The time course of attentional patterns both during and after threat was assessed via eye-tracking and pupilometry. Self-reported depressive and anxiety symptoms were assessed 2 years after the conclusion of a larger psychotherapy treatment trial. Eye-tracking patterns indicating threat avoidance predicted greater 2-year depression scores, over and above baseline and posttreatment symptoms. Sustained, postthreat pupillary avoidance (reflecting preferential neural engagement with the neutral relative to the previously threatening location) predicted additional variance in depression scores, suggesting sustained avoidance in the wake of threat further exacerbated risk. Identical eye-tracking and pupil indices were not predictive of anxiety at 2 years. These biobehavioral markers imply that avoidant attentional processing in the context of anxiety may be a gateway to depression across a key maturational window. Excessive avoidance of threat could interfere with acquisition of adaptive emotion regulation skills during development, culminating in the broad behavioral deactivation that typifies depression. Prevention efforts explicitly targeting avoidant attentional patterns may be warranted.

SUBMITTER: Price RB

PROVIDER: S-EPMC4747845 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature

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From anxious youth to depressed adolescents: Prospective prediction of 2-year depression symptoms via attentional bias measures.

Price Rebecca B RB Rosen Dana D Siegle Greg J GJ Ladouceur Cecile D CD Tang Kevin K Allen Kristy Benoit KB Ryan Neal D ND Dahl Ronald E RE Forbes Erika E EE Silk Jennifer S JS

Journal of abnormal psychology 20151123 2

Anxious youth are at heightened risk for subsequent development of depression; however, little is known regarding which anxious youth are at the highest prospective risk. Biased attentional patterns (e.g., vigilance and avoidance of negative cues) are implicated as key mechanisms in both anxiety and depression. Aberrant attentional patterns may disrupt opportunities to effectively engage with, and learn from, threatening aspects of the environment during development and/or treatment, compounding ...[more]

PMID: 26595463

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Project description:BackgroundAnxiety and mood disorders are the most common mental illnesses, peaking during adolescence and affecting approximately 25% of Canadians aged 14-17 years. If not successfully treated at this age, they often persist into adulthood, exerting a great social and economic toll. Given the long-term impact, finding ways to increase the success and cost-effectiveness of mental health care is a pressing need. Cognitive behavior therapy (CBT) is an evidence-based treatment for mood and anxiety disorders throughout the lifespan. Mental health technologies can be used to make such treatments more successful by delivering them in a format that increases utilization. Young people embrace technologies, and many want to actively manage their mental health. Mobile software apps have the potential to improve youth adherence to CBT and, in turn, improve outcomes of treatment.ObjectiveThe purpose of this project is to improve homework adherence in CBT for youth anxiety and/or depression. The objectives are to (1) design and optimize the usability of a mobile app for delivering the homework component of CBT for youth with anxiety and/or depression, (2) assess the app's impact on homework completion, and (3) implement the app in CBT programs. We hypothesize that homework adherence will be greater in the app group than in the no-app group.MethodsPhase 1: exploratory interviews will be conducted with adolescents and therapists familiar with CBT to obtain views and perspectives on the requirements and features of a usable app and the challenges involved in implementation. The information obtained will guide the design of a prototype. The prototype will be optimized via think-aloud procedures involving an iterative process of evaluation, modification, and re-evaluation, culminating in a fully functional version of the prototype that is ready for optimization in a clinical context. Phase 2: a usability study will be conducted to optimize the prototype in the context of treatment at clinics that provide CBT treatment for youth with anxiety and/or depression. This phase will result in a usable app that is ready to be tested for its effectiveness in increasing homework adherence. Phase 3: a pragmatic clinical trial will be conducted at several clinics to evaluate the impact of the app on homework adherence. Participants in the app group are expected to show greater homework completion than those in the no-app group.ResultsPhase 3 will be completed by September 2019.ConclusionsThe app will be a unique adjunct to treatment for adolescents in CBT, focusing on both anxiety and depression, developed in partnership with end users at every stage from design to implementation, customizable for different cognitive profiles, and designed with depression symptom tracking measures for youth made interoperable with electronic medical records.

Dataset Information

From anxious youth to depressed adolescents: Prospective prediction of 2-year depression symptoms via attentional bias measures.

Publications

From anxious youth to depressed adolescents: Prospective prediction of 2-year depression symptoms via attentional bias measures.

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