| Title |
Issues on the diagnosis and etiopathogenesis of mood disorders: reconsidering DSM-5
|
|---|---|
| Published in |
Journal of Neural Transmission, December 2017
|
| DOI | 10.1007/s00702-017-1828-2 |
| Pubmed ID | |
| Authors |
Kazuyoshi Ogasawara, Yukako Nakamura, Hiroyuki Kimura, Branko Aleksic, Norio Ozaki |
| Abstract |
The authors present a narrative review from the diagnostic and nosologic viewpoints of mood disorders (bipolar and depressive ones) by revisiting the revision from the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders, Text Revision to DSM-5, including the following: the separation of the bipolar and depressive sections; the addition of increased energy and continuation of symptoms to the hypo/manic criteria; the elimination of mixed episodes; the creation of new categories and specifiers ("other specified bipolar and related disorder", "disruptive mood dysregulation disorder", "with anxious distress", "with mixed features", "with peripartum onset"); the categorization of hypo/manic episodes during antidepressant treatment into bipolar disorder; the elimination of the "bereavement exclusion"; the ambiguous separation between bipolar I and II; the insufficient distinction between "other specified bipolar and related disorders" and major depressive disorder; the differentiation regarding borderline personality disorder; agitation; premenstrual dysphoric disorder; and society and psychiatry. Through this analysis, we point out both the achievements and limitations of DSM-5. In addition, to examine the future direction of psychiatry, we introduce our cohort study regarding maternal depression and an outline of the National Institute of Mental Health's Research Domain Criteria project in the US. Finally, we advocate the importance of elucidating etiopathogeneses by starting from or going beyond the DSM operational diagnostic system, which has shown great efficacy. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 15% |
| Student > Bachelor | 12 | 13% |
| Student > Doctoral Student | 8 | 9% |
| Researcher | 7 | 8% |
| Other | 6 | 7% |
| Other | 14 | 16% |
| Unknown | 29 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 32 | 36% |
| Medicine and Dentistry | 8 | 9% |
| Neuroscience | 5 | 6% |
| Social Sciences | 4 | 4% |
| Nursing and Health Professions | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 31 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 December 2017.
All research outputs
#17,923,510
of 23,012,811 outputs
Outputs from Journal of Neural Transmission
#1,371
of 1,781 outputs
Outputs of similar age
#309,198
of 441,172 outputs
Outputs of similar age from Journal of Neural Transmission
#15
of 21 outputs
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