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Severity of Suicidal Ideation Matters: Reexamining Correlates of Suicidal Ideation Using Quantile Regression

Overview of attention for article published in Journal of Clinical Psychology, July 2017
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Article details
Title
Severity of Suicidal Ideation Matters: Reexamining Correlates of Suicidal Ideation Using Quantile Regression
Published in
Journal of Clinical Psychology, July 2017
DOI 10.1002/jclp.22499
Pubmed ID
Authors
Abstract

Numerous risk factors have been identified for suicidal ideation, including perceived burdensomeness, thwarted belongingness, agitation, insomnia, nightmares, cognitive anxiety sensitivity, and rumination. However, the complexity of these associations has not been well studied; the magnitude of these effects may vary at differing levels of suicidal ideation. The present study reexamined established risk factors for suicidal ideation using quantile regression, a statistical technique that calculates the effect at numerous quantiles of suicidal ideation, as opposed to the average effect across all quantiles. A sample of 354 psychiatric outpatients (61.3% female, meanage = 27.01 years, standard deviation = 10.40) completed self-report measures of their suicidal ideation and related risk factors prior to their initial intake appointments. The relationship between each suicide risk factor and suicidal ideation was strongest at higher (.9 quantile), as opposed to nonexistent (.5 quantile) and low-moderate (.7 quantile), levels of suicidal ideation. The interaction proposed by the interpersonal theory of suicide was significant at nonexistent and low-moderate, but not high, levels of suicidal ideation. Our findings indicated that predictors of suicidal ideation differed in magnitude at varying levels of suicidal ideation. Implications, limitations, and future research directions are discussed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Doctoral Student 10 17%
Student > Bachelor 10 17%
Researcher 6 10%
Student > Ph. D. Student 4 7%
Student > Master 4 7%
Other 6 10%
Unknown 19 32%
Readers by discipline
Readers by discipline Count As %
Psychology 24 41%
Medicine and Dentistry 3 5%
Neuroscience 3 5%
Agricultural and Biological Sciences 2 3%
Environmental Science 1 2%
Other 4 7%
Unknown 22 37%
Attention Score in Context

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 04 July 2017.
All research outputs
#22,272,724
of 27,267,055 outputs
Outputs from Journal of Clinical Psychology
#855
of 992 outputs
Outputs of similar age
#259,697
of 333,360 outputs
Outputs of similar age from Journal of Clinical Psychology
#2
of 3 outputs
Altmetric has tracked 27,267,055 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 992 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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