Finding studies
Finding studies
Take this into the appointment.
Saves the questions and what to expect into your notes, next to the visit they belong to.
Lead
University of North Carolina, Chapel Hill
With
The parent study, BEGIN, has full ethical approval. From within Recovery Record, individuals are directed to a link to the BEGIN study. From outside Recovery Record, interested individuals complete a brief screen. If they are potentially eligible, they are directed to Recovery Record. Informed consent for phenotyping is obtained digitally via the Recovery Record app. After consent, interested participants complete a validated eating disorders diagnostic questionnaire based on Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria adapted from the Structured Clinical Interview for DSM-5 (ED100K). This questionnaire was developed for use in large genetic studies as a means to recruit large samples efficiently with high diagnostic accuracy. Those who screen case positive are offered the opportunity to participate in the full study (with a second informed consent also delivered from within Recovery Record). Eligible participants are mailed a package containing a description of the study, saliva collection kit, stool collection kit, and an Apple Watch. Participants complete the Eating Disorder Examination Questionnaire (EDE-Q), Generalized Anxiety Disorder 7-item scale (GAD-7), and Patient Health Questionnaire-9 (PHQ-9) at enrollment, midpoint, and endpoint. Participants are asked to log mood and food in the Recovery Record app on their Apple Watch for 30 days, the duration of the study. During those 30-days, participants are also asked to submit their saliva and stool samples. Saliva kits are returned directly to Rutgers University Cell and DNA Repository (RUCDR). The questionnaire, active, and passive data will all be used to characterize patterns of when and where individuals are more/less likely to binge and/or purge in their daily lives. The investigators will identify low-risk and high-risk passive data patterns that will facilitate the prediction of transitions to high risk states signaling impending binge or purge episodes.
Age
18–45
Sex
ALL
Healthy volunteers
Not accepted
