| Title |
A Review on the General Stability of Mood Disorder Diagnoses Along the Lifetime
|
|---|---|
| Published in |
Current Psychiatry Reports, April 2018
|
| DOI | 10.1007/s11920-018-0891-1 |
| Pubmed ID | |
| Authors |
Diego de la Vega, Ana Piña, Francisco J. Peralta, Sam A. Kelly, Lucas Giner |
| Abstract |
The purpose of this review is to review the most recent literature regarding diagnostic stability of mood disorders, focusing on epidemiological, clinical-psychopathological, and neurobiological data for unipolar and bipolar affective disorders. Unipolar depression follows a chronic course in at least half of all cases and presents a considerable diagnostic stability across all age ranges. Studies using latent class analysis are allowing improved profiling of depressive subtypes and assessment of their prevalence. Advances have been made in our understanding of the neurobiological underpinnings of depression, with data highlighting the roles of amyloid deposits, the ApoE4 allele, and atrophy of the anterior hippocampus or frontal cortex. The diagnostic instability of bipolar disorder is manifest in the early years, seen in both the extent of diagnostic delay and the high rate of diagnostic conversion from unipolar depression. Regarding disruptive mood dysregulation disorder, we have little data to date, but those which exist indicate a high rate of comorbidity and minimal diagnostic stability for this disorder. Diagnostic stability varies substantially among mood disorders, which would be related to the validity of current diagnostic categories and our diagnostic accuracy. |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 16% |
| Student > Master | 6 | 12% |
| Other | 4 | 8% |
| Student > Doctoral Student | 4 | 8% |
| Student > Ph. D. Student | 4 | 8% |
| Other | 9 | 18% |
| Unknown | 16 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 12 | 24% |
| Medicine and Dentistry | 9 | 18% |
| Neuroscience | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 6 | 12% |
| Unknown | 19 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 21 July 2023.
All research outputs
#6,335,882
of 24,116,965 outputs
Outputs from Current Psychiatry Reports
#544
of 1,229 outputs
Outputs of similar age
#105,995
of 332,678 outputs
Outputs of similar age from Current Psychiatry Reports
#14
of 24 outputs
Altmetric has tracked 24,116,965 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,229 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.6. This one has gotten more attention than average, scoring higher than 54% of its peers.
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