2. LONGITUDINAL STUDY OF BIPOLAR DISORDER
The Largest Long-Term Research Study for Bipolar Disorder in the Nation
Established in 2005
~1200 active participants
The goal is to identify potential illness patterns in bipolar disorder
Develop personalized treatment plans
Predict outcomes
Establish prevention methods
3. METHODS
Data is collected on participants using:
Bi-monthly questionnaires
Neuropsychological testing
Annual structured clinical interviews*
Blood and saliva samples
4. ANNUAL STRUCTURED CLINICAL INTERVIEWS
Grid – Hamilton Depression Scale
Training to ensure reliability among various interviewers
Practice by listening to past interviews and rating
Observing real-time interviews and comparing ratings
Young Mania Rating Scale
Data entry
5. SKILLS
Applied strong interpersonal and assessment skills as evident by the ability to score
participants’ discourse on the structured Hamilton Depression Scale
Demonstrated ability to collect and enter data
Ability to synthesize research findings in the form of an annotated bibliography
6. FINDINGS
Fewer depressive symptoms were associated with positive employment outcomes over time
Collaborative Care Models show positive effect on managing affective symptoms
Polygenic risk scores may be useful in prospective risk prediction for bipolar disorder
Genes can determine risk of Bipolar Disorder in youth
Women with Bipolar Disorder reported poorer perceived sleep quality than men
Poor sleep quality predicted worse mood outcome in BD
7. WORKS CITED
Ryan, K., Eisenberg, D., Kim, H., Lai, Z., McInnis, M., & Kilbourne, A. (2015, September 2). Longitudinal
impact of a collaborative care model on employment outcomes in bipolar disorder. Journal of
Affective Disorders, 188, 239-242. Retrieved from http://www.jad- journal.com/article/S0165-
0327(15)30145-2/abstract
Fullerton, J. M., Koller, D. L., Edenberg, H. J., Foroud, T., Liu, H., Glowinski, A. L., . . . Nurnberger, J. I.
(2015). Assessment of first and second degree relatives of individuals with bipolar disorder shows
increased genetic risk scores in both affected relatives and young At-Risk Individuals. Am. J. Med. Genet.
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 168(7), 617-629.
doi:10.1002/ajmg.b.32344
Saunders, E. F., Fernandez-Mendoza, J., Kamali, M., Assari, S., & Mcinnis, M. G. (2015). The effect of
poor sleep quality on mood outcome differs between men and women: A longitudinal study of
bipolar disorder. Journal of Affective Disorders, 180, 90-96. doi:10.1016/j.jad.2015.03.048
