Title |
Review of Cohort Studies for Mood Disorders
|
---|---|
Published in |
Psychiatry Investigation, May 2016
|
DOI | 10.4306/pi.2016.13.3.265 |
Pubmed ID | |
Authors |
Hong Jin Jeon, Ji Hyun Baek, Yong-Min Ahn, Joo Kim, Tae Hyun Ha, Boseok Cha, Eunsoo Moon, Hee-Ju Kang, Vin Ryu, Chul-Hyun Cho, Jung-Yoon Heo, Kiwon Kim, Heon-Jeong Lee, Mood Disorders Cohort Research Consortium Group |
Abstract |
This paper aimed to review currently available cohort studies of subjects with mood disorders such as major depressive disorder (MDD) and bipolar disorder (BD). Using the PubMed and KoreaMed databases, we reviewed eight major cohort studies. Most studies recruited participants with MDD and BD separately, so direct comparison of factors associated with diagnostic changes was difficult. Regular and frequent follow-up evaluations utilizing objective mood ratings and standardized evaluation methods in a naturalistic fashion are necessary to determine detailed clinical courses of mood disorders. Further, biological samples should also be collected to incorporate clinical findings in the development of new diagnostic and therapeutic approaches. An innovative cohort study that can serve as a platform for translational research for treatment and prevention of mood disorders is critical in determining clinical, psychosocial, neurobiological and genetic factors associated with long-term courses and consequences of mood disorders in Korean patients. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 7 | 15% |
Student > Ph. D. Student | 6 | 13% |
Student > Bachelor | 5 | 10% |
Professor | 4 | 8% |
Researcher | 4 | 8% |
Other | 12 | 25% |
Unknown | 10 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 18 | 38% |
Psychology | 6 | 13% |
Neuroscience | 5 | 10% |
Nursing and Health Professions | 2 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
Other | 4 | 8% |
Unknown | 12 | 25% |