Targeting Anxiety Sensitivity With Evidence-Based Psychoeducation: A Randomized Waitlist-Controlled Trial of a Brief Standalone Digital Intervention

Abstract

Anxiety sensitivity, or the fear of anxiety, represents an important transdiagnostic target in the prevention and treatment of anxiety disorders, which typically emerge between childhood and early adulthood. Recent work demonstrated that single-session digital psychoeducation interventions delivered on computers in a lab setting can effectively reduce anxiety sensitivity. This evidence suggests that digital psychoeducation interventions have potential as a scalable and cost-effective approach to targeting anxiety sensitivity in emerging adults. Toward this aim, we developed the Anxiety Insight Modules (AIM), which promote insights about the function of anxiety, the activating role of thoughts, the harmless nature of sensations that often co-occur with anxiety, and the negative impact of trying to avoid anxiety. To facilitate a more accurate estimate of the potential for scalability, participants tested AIM on their personal devices at their preferred schedule and pace without the involvement of clinicians or staff. Undergraduate students with high levels of anxiety sensitivity (N = 159) were randomized to gain immediate access to AIM (n = 77) or to a waitlist control that gained access to AIM after the 2-week follow-up assessment (n = 82). All of the participants who gained immediate access to AIM, as well as 91.67% of participants in the waitlist who participated in the follow-up, completed the full set of modules, suggesting high levels of engagement. Immediate access to AIM had a medium-to-large effect on anxiety sensitivity in a 2-week follow-up comparison with waitlist control (d = 0.57–0.76). Participants that completed AIM showed acute reductions in anxiety sensitivity. Given this preliminary evidence of its effectiveness, further research is warranted to determine the factors that moderate and mediate AIM’s impact on anxiety sensitivity in order to optimize its delivery and facilitate scalability.