DARC-NESS: a mastery-based cognitive-behavioral model for treating chronic nightmares in youth

A new theoretical model called DARC-NESS explains how nightmares persist by highlighting nightmare self-efficacy as a central mechanism. The model identifies seven interacting components: Dream (nightmare) content, Appraisals, Resources for regulation, Conditioned arousal, Nightmare Efficacy, Sleep hygiene and patterns, and Sleep quality and quantity. These factors perpetuate nightmares through a vicious cycle. The model provides the basis for cognitive behavioral therapy for children's nightmares and suggests treatment strategies for each component. A case illustration shows how interventions can break the cycle. Flexible clinical applications help clinicians select and sequence modular treatment elements tailored to individual cases.

Study at a glance

Abstract

Theories of chronic nightmare maintenance highlight dysfunctional beliefs about sleep and nightmares, distress and arousal, anticipatory anxiety, maladaptive sleep habits, and sleep deprivation as perpetuating factors that maintain nightmare disorder over time. Theories of nightmare treatment suggest that self-efficacy is a common factor in nightmare mitigation. The current article introduces DARC-NESS, a multi-component theory of nightmare maintenance that emphasizes nightmare self-efficacy as a central mechanism influencing the maintenance cycle at multiple points. DARC-NESS is a mnemonic for the model's components: Dream (nightmare) content, Appraisals, Resources for regulation, Conditioned arousal, Nightmare Efficacy, Sleep hygiene and patterns, and Sleep quality and quantity, that interact to perpetuate nightmares. This model provides the theoretical basis for cognitive behavioral therapy (CBT) for child nightmares. The manuscript proposes treatment counterparts to each model component and presents a case illustration demonstrating how these interventions can disrupt the vicious cycle of chronic nightmares. Finally, flexible clinical applications are offered to guide clinicians in selecting and sequencing modular intervention elements to match individual case presentations.