↓ Skip to main content

Development and validation of the BD SX: a brief measure of mood and symptom variability for use with adults with bipolar disorder

Overview of attention for article published in International Journal of Bipolar Disorders, March 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users
peer_reviews
1 peer review site
facebook
1 Facebook page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
52 Mendeley
Title
Development and validation of the BD SX: a brief measure of mood and symptom variability for use with adults with bipolar disorder
Published in
International Journal of Bipolar Disorders, March 2016
DOI 10.1186/s40345-016-0048-2
Pubmed ID
Authors

Norm O’Rourke, Andrew Sixsmith, David B. King, Hamed Yaghoubi-Shahir, Sarah L. Canham, BADAS Study Team

Abstract

Ecological momentary sampling in BD research requires brief symptom measures with low cognitive demands to maximize data collection across the range of BD symptomatology. We developed the BD Sx cognizant of the challenges inherent in scale development with low prevalence populations and the limitations of existing measures (e.g., over-reliance on patients in acute states recruited from psychiatric settings). In order to be generalizable across the full spectrum of the illness, we also included those currently euthymic and those who avoid clinical contact. We recruited a global sample of 1010 adults with BD over 19 days using socio-demographically targeted, social media advertising and online data collection. At follow-up, 428 participants provided responses 67 days later on average. This enabled us to develop the BD Sx and replicate initial findings across multiple samples over time. Both exploratory and confirmatory factor analyses support a 4-factor BD Sx model. Goodness of fit indices indicate good model fit across samples and over time. We labeled these factors: elation/loss of insight, affrontive symptoms of mania, cognitive/depressive, and somatic/depressive symptoms. Affrontive symptoms correlate positively with cognitive and somatic depression factors, which may suggest mixed-state symptom clusters in accord with DSM 5. Responses to the BD Sx reliably measure both depressive and hypo/manic symptoms. Temporal invariance analyses indicate that the 4-factor structure is consistent over time. Future research  should compare BD Sx responses to clinical diagnoses of hypo/mania and major depressive episodes.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 17%
Student > Master 6 12%
Researcher 6 12%
Student > Ph. D. Student 5 10%
Other 4 8%
Other 6 12%
Unknown 16 31%
Readers by discipline Count As %
Psychology 10 19%
Medicine and Dentistry 8 15%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Nursing and Health Professions 2 4%
Other 9 17%
Unknown 19 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 September 2016.
All research outputs
#13,460,530
of 22,852,911 outputs
Outputs from International Journal of Bipolar Disorders
#183
of 285 outputs
Outputs of similar age
#143,440
of 298,399 outputs
Outputs of similar age from International Journal of Bipolar Disorders
#7
of 7 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 285 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one is in the 35th percentile – i.e., 35% 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 298,399 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 50% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.