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Predicting Anxiety Diagnoses and Severity with the CBCL-A: Improvement Relative to Other CBCL Scales?

Overview of attention for article published in Journal of Psychopathology and Behavioral Assessment, June 2014
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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2 X users
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1 peer review site

Citations

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68 Mendeley
Title
Predicting Anxiety Diagnoses and Severity with the CBCL-A: Improvement Relative to Other CBCL Scales?
Published in
Journal of Psychopathology and Behavioral Assessment, June 2014
DOI 10.1007/s10862-014-9439-9
Pubmed ID
Authors

Kendra L. Read, Cara A. Settipani, Jeremy Peterman, Philip C. Kendall, Scott Compton, John Piacentini, James McCracken, Lindsey Bergman, John Walkup, Dara Sakolsky, Boris Birmaher, Anne Marie Albano, Moira Rynn, Golda Ginsburg, Courtney Keeton, Elizabeth Gosch, Cynthia Suveg, Joel Sherrill, John March

Abstract

The Child Behavior Checklist (CBCL) is a widely used parent-report of child and adolescent behavior. We examined the ability of the CBCL-A scale, a previously published subset of CBCL items, to predict the presence of generalized anxiety disorder (GAD), separation anxiety disorder (SAD), and social phobia (SoP), as well as anxiety severity, among 488 youth randomized in the Child Anxiety Multimodal Study (CAMS). We predicted that the CBCL-A's unique inclusion of items related to somatic symptoms would better identify anxiety disorder and severity than other CBCL scales, given that somatic complaints are often key features of anxiety among youth. Results support the use of the anxiety-based CBCL subscales as first-line screeners for generally elevated symptoms of anxiety, rather than tools to identify specific anxiety disorders. Although somatic symptoms are often reported and included in diagnostic criteria for certain anxiety disorders (e.g., SAD, GAD), the unique combination of somatic and non-somatic symptoms for the CBCL-A subscale did not increase its ability to consistently predict the presence of specific anxiety disorders.

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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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Italy 1 1%
Unknown 66 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 15%
Student > Master 9 13%
Student > Ph. D. Student 8 12%
Professor 6 9%
Student > Bachelor 5 7%
Other 12 18%
Unknown 18 26%
Readers by discipline Count As %
Psychology 25 37%
Medicine and Dentistry 9 13%
Social Sciences 2 3%
Nursing and Health Professions 2 3%
Agricultural and Biological Sciences 1 1%
Other 6 9%
Unknown 23 34%
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 24 August 2016.
All research outputs
#13,645,647
of 23,867,274 outputs
Outputs from Journal of Psychopathology and Behavioral Assessment
#304
of 683 outputs
Outputs of similar age
#109,169
of 231,615 outputs
Outputs of similar age from Journal of Psychopathology and Behavioral Assessment
#3
of 11 outputs
Altmetric has tracked 23,867,274 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 683 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 231,615 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 52% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.