Body dysmorphic disorder (BDD) is associated with high risk for suicide attempts (22-28%) and substance use disorders (49%), underscoring the importance of accurate, real-time risk detection in BDD. This study aims to use smartphone-based digital phenotyping to develop and validate unobtrusive, time-sensitive, and ecologically valid measures of key risk factors for suicide and substance misuse in BDD: negative affect states. As next steps, this research can be extended to detect risk transdiagnostically, with the goal of enabling just-in-time interventions to target suicide and substance misuse across psychiatric illnesses.
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Self-reported anxiety intensity, rated from 1 (very slightly or not at all) to 5 (extremely)
Timeframe: 3 months
Self-reported shame intensity, based on Positive and negative affect scale (PANAS) shame item, rated from 1 (very slightly or not at all) to 5 (extremely)
Timeframe: 3 months
Self-reported negative affect intensity, based on Positive and negative affect scale (PANAS) negative affect items (averaged), rated from 1 (very slightly or not at all) to 5 (extremely)
Timeframe: 3 months