NCT04254575

Understanding Daily Changes in BDD Risk Using Smartphones

Smartphone-based Digital Phenotyping to Detect High-risk Affect States in Body Dysmorphic Disorder (BDD)

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 87 (actual)
• Sponsor: Massachusetts General Hospital · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

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.

Conditions

• Body Dysmorphic Disorders

Interventions

Type	Name	Description
OTHER	None, observational study only (no interventions)	None, observational study only (no interventions)

Timeline

• Start date: 2020-07-15
• Primary completion: 2023-04-28
• Completion: 2023-04-28
• First posted: 2020-02-05
• Last updated: 2023-09-21

Locations

1 site across 1 country: United States