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Prechter Longitudinal Study of Bipolar Disorder (PLS-BD)
Prechter Longitudinal Study of Bipolar Disorder logo
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Sample details

The PLS-BD is an open cohort study that began in 2005 in the United States on adults with a diagnosis of bipolar disorder and without a history of schizophrenia. The primary clinical source of participants was from admissions to the University of Michigan (UM) Health System psychiatric outpatient and inpatient clinical services. Participants complete self-report questionnaires every two months and annual follow-up visits for ten years and beyond. Of the 1,111 participants who were enrolled, 960 (86%) had longitudinal data defined as two or more observations at different time points over the follow-up period. At enrolment, the average age of participants was 38.64 years, and 66% identified as female.

Study design
Cohort - clinical, Cohort - open

Number of participants at first data collection

1,111 (participants)

Recruitment is ongoing

Age at first data collection

≥ 18 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Patients and clinical populations
People with psychiatric conditions
Dataset details

Country

United States of America

Year of first data collection

2005

Primary Institutions

University of Michigan

Links

medicine.umich.edu/dept/prechter-program/bipolar-research/bipolar-disorder-research-projects/longitudinal-study-bipolar-disorder

Profile paper DOI

doi.org/10.1093/ije/dyx229

Funders

Heinz C Prechter Bipolar Research Fund

Kelly Elizabeth Beld Memorial Fund

National Institutes of Health (NIH)

Richard Tam Foundation

Steven Schwartzberg Memorial Fund

Ongoing?
Yes

Data types collected

mentalHealthData
Quantitative data collection
  • Interview – face-to-face
  • Interview – online
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Self-report questionnaire – online
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • None
Features

Engagement

  • Community engagement
  • Keywords

    Biological samples/biospecimens
    Biopsychosocial factors
    Bipolar disorder
    Comorbidity
    Depression
    Disease mechanisms
    Genetic predisposition
    Genetics
    Neuropsychological testing
    Prediction models
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