Understanding Daily Changes in BDD Risk Using Smartphones

Purpose

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.

Condition

  • Body Dysmorphic Disorders

Eligibility

Eligible Ages
Over 18 Years
Eligible Genders
All
Accepts Healthy Volunteers
No

Criteria


Inclusion Criteria:

- Adults age >=18

- Current primary diagnosis of BDD

- BDD severity >= moderate

- Living in US

- English proficiency

- Owns an Android or iOS (Apple) smartphone

- Has regular Wifi-enabled internet access for data downloads

Study Design

Phase
Study Type
Observational
Observational Model
Case-Only
Time Perspective
Prospective

Arm Groups

ArmDescriptionAssigned Intervention
body dysmorphic disorder (BDD) Adults with a current primary diagnosis of body dysmorphic disorder (BDD)
  • Other: None, observational study only (no interventions)
    None, observational study only (no interventions)

More Details

Status
Completed
Sponsor
Massachusetts General Hospital

Study Contact