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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Early risk factors for adult bipolar disorder in adolescents with mood disorders: a 15-year follow-up of a community sample
|
|---|---|
| Published in |
BMC Psychiatry, December 2014
|
| DOI | 10.1186/s12888-014-0363-z |
| Pubmed ID | |
| Authors |
Aivar Päären, Hannes Bohman, Lars von Knorring, Gunilla Olsson, Anne-Liis von Knorring, Ulf Jonsson |
| Abstract |
BackgroundWe aimed to outline the early risk factors for adult bipolar disorder (BPD) in adolescents with mood disorders.MethodsAdolescents (16¿17 years old) with mood disorders (n¿=¿287; 90 participants with hypomania spectrum episodes and 197 with major depressive disorder [MDD]) were identified from a community sample. Fifteen years later (at 30¿33 years of age), mood episodes were assessed (n¿=¿194). The risk of developing BPD (n¿=¿22), compared with MDD (n¿=¿104) or no mood episodes in adulthood (n¿=¿68), was estimated via logistic regression. Adolescent mood symptoms, non-mood disorders, and family characteristics were assessed as potential risk factors.ResultsAmong the adolescents with mood disorders, a family history of BPD was the strongest predictor of developing BPD compared with having no mood episodes in adulthood (OR¿=¿5.94; 95% CI¿=¿1.11-31.73), whereas disruptive disorders significantly increased the risk of developing BPD compared with developing MDD (OR¿=¿2.94; CI¿=¿1.06-8.12). The risk that adolescents with MDD would develop adult BPD, versus having no mood episodes in adulthood, was elevated among those with an early disruptive disorder (OR¿=¿3.62; CI¿=¿1.09-12.07) or multiple somatic symptoms (OR¿=¿6.60; CI¿=¿1.70-25.67). Only disruptive disorders significantly predicted adult BPD among adolescents with MDD versus continued MDD in adulthood (OR¿=¿3.59; CI¿=¿1.17-10.97). Only a few adolescents with hypomania spectrum episodes continued to have BPD as adults, and anxiety disorders appeared to increase this risk.ConclusionsAlthough most of the identified potential risk factors are likely general predictors of continued mood disorders, disruptive disorders emerged as specific predictors of developing adult BPD among adolescents with MDD. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 16% |
| Student > Ph. D. Student | 11 | 12% |
| Student > Bachelor | 10 | 11% |
| Researcher | 9 | 10% |
| Other | 5 | 5% |
| Other | 18 | 20% |
| Unknown | 24 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 27% |
| Psychology | 23 | 25% |
| Neuroscience | 5 | 5% |
| Social Sciences | 3 | 3% |
| Nursing and Health Professions | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 28 | 30% |
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 07 October 2015.
All research outputs
#17,748,987
of 22,792,160 outputs
Outputs from BMC Psychiatry
#3,667
of 4,680 outputs
Outputs of similar age
#241,782
of 353,090 outputs
Outputs of similar age from BMC Psychiatry
#76
of 99 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,680 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 353,090 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.