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Identifying the Internalizing Disorder Clusters Among Recently Hospitalized Cardiovascular Disease Patients: A Receiver Operating Characteristics Study

Overview of attention for article published in Frontiers in Psychology, December 2019
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Title
Identifying the Internalizing Disorder Clusters Among Recently Hospitalized Cardiovascular Disease Patients: A Receiver Operating Characteristics Study
Published in
Frontiers in Psychology, December 2019
DOI 10.3389/fpsyg.2019.02829
Pubmed ID
Authors

Megan Grech, Deborah A. Turnbull, Gary A. Wittert, Phillip J. Tully, the CHAMPS Investigators, John D. Horowitz, John F. Beltrame, Alison Barrett, Nathan Harrison, Christopher Bean, John F. Beltrame, Terina Selkow, Libby Markwick, Bernhard T. Baune, Harald Baumeister, Shannon Sauer-Zavala

Abstract

Depression and anxiety disorders are common among cardiovascular disease (CVD) populations, leading several cardiology societies to recommend routine screening to streamline psychological interventions. However, it remains poorly understood whether routine screening in CVD populations identifies the broader groups of disorders that cluster together within individuals, known as anxious-misery and fear. This study examines the screening utility of four anxiety and depression questionnaires to identify the two internalizing disorder clusters; anxious-misery and fear. Patients with a recent hospital admission for CVD (n = 85, 69.4% males) underwent a structured clinical interview with the MINI International Neuropsychiatric Interview. The participants also completed the Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder (GAD-7) scale, Overall Anxiety Severity Impairment Scale (OASIS), and the stress subscale of the Depression Anxiety Stress Scale (DASS). The PHQ-9 and the GAD-7 yielded appropriate screening properties to detect three different iterations of the anxious-misery cluster (sensitivity >80.95% and specificity >82.81%). The GAD-7 was the only instrument to display favorable screening properties to detect a fear cluster omitting post-traumatic stress disorder (PTSD) but including obsessive-compulsive disorder (OCD; sensitivity 81.25%, specificity 76.81%). These findings indicate that the PHQ-9 and GAD-7 could be implemented to reliably screen for anxious-misery disorders among CVD in-patients, however, the receiver operating characteristics (ROC) to detect fear disorders were contingent on the placement of PTSD and OCD within clusters. The findings are discussed in relation to routine screening guidelines in CVD populations and contemporary understandings of the internalizing disorders.

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The data shown below were collected from the profiles of 3 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 14%
Student > Master 3 14%
Researcher 2 9%
Professor 2 9%
Other 1 5%
Other 2 9%
Unknown 9 41%
Readers by discipline Count As %
Psychology 9 41%
Medicine and Dentistry 3 14%
Nursing and Health Professions 1 5%
Unknown 9 41%
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 22 March 2022.
All research outputs
#14,867,182
of 25,027,753 outputs
Outputs from Frontiers in Psychology
#14,422
of 33,813 outputs
Outputs of similar age
#222,300
of 443,771 outputs
Outputs of similar age from Frontiers in Psychology
#343
of 619 outputs
Altmetric has tracked 25,027,753 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,813 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 56% of its peers.
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