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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

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

Notice

Study information shown on this site is derived from ClinicalTrials.gov (a public registry operated by the National Institutes of Health). The listing of studies provided is not certain to be all studies for which you might be eligible. Furthermore, study eligibility requirements can be difficult to understand and may change over time, so it is wise to speak with your medical care provider and individual research study teams when making decisions related to participation.