↓ Skip to main content

Early interventions for youths at high risk for bipolar disorder: a developmental approach

Overview of attention for article published in European Child & Adolescent Psychiatry, September 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
143 Mendeley
Title
Early interventions for youths at high risk for bipolar disorder: a developmental approach
Published in
European Child & Adolescent Psychiatry, September 2015
DOI 10.1007/s00787-015-0773-6
Pubmed ID
Authors

Xavier Benarous, Angèle Consoli, Vanessa Milhiet, David Cohen

Abstract

In recent decades, ongoing research programmes on primary prevention and early identification of bipolar disorder (BD) have been developed. The aim of this article is to review the principal forms of evidence that support preventive interventions for BD in children and adolescents and the main challenges associated with these programmes. We performed a literature review of the main computerised databases (MEDLINE, PUBMED) and a manual search of the literature relevant to prospective and retrospective studies of prodromal symptoms, premorbid stages, risk factors, and early intervention programmes for BD. Genetic and environmental risk factors of BD were identified. Most of the algorithms used to measure the risk of developing BD and the early interventions programmes focused on the familial risk. The prodromal signs varied greatly and were age dependent. During adolescence, depressive episodes associated with genetic or environmental risk factors predicted the onset of hypomanic/manic episodes over subsequent years. In prepubertal children, the lack of specificity of clinical markers and difficulties in mood assessment were seen as impeding preventive interventions at these ages. Despite encouraging results, biomarkers have not thus far been sufficiently validated in youth samples to serve as screening tools for prevention. Additional longitudinal studies in youths at high risk of developing BD should include repeated measures of putative biomarkers. Staging models have been developed as an integrative approach to specify the individual level of risk based on clinical (e.g. prodromal symptoms and familial history of BD) and non-clinical (e.g. biomarkers and neuroimaging) data. However, there is still a lack of empirically validated studies that measure the benefits of using these models to design preventive intervention programmes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Unknown 142 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 15%
Student > Postgraduate 19 13%
Student > Bachelor 18 13%
Researcher 13 9%
Student > Doctoral Student 10 7%
Other 26 18%
Unknown 36 25%
Readers by discipline Count As %
Psychology 37 26%
Medicine and Dentistry 27 19%
Nursing and Health Professions 10 7%
Neuroscience 6 4%
Social Sciences 4 3%
Other 14 10%
Unknown 45 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 March 2016.
All research outputs
#7,467,636
of 22,829,083 outputs
Outputs from European Child & Adolescent Psychiatry
#798
of 1,644 outputs
Outputs of similar age
#92,832
of 274,417 outputs
Outputs of similar age from European Child & Adolescent Psychiatry
#17
of 25 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,644 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 41st percentile – i.e., 41% 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 274,417 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.