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Attitudes of acceptability and lack of condemnation toward suicide may be predictive of post-discharge suicide attempts

Overview of attention for article published in BMC Psychiatry, April 2015
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Title
Attitudes of acceptability and lack of condemnation toward suicide may be predictive of post-discharge suicide attempts
Published in
BMC Psychiatry, April 2015
DOI 10.1186/s12888-015-0462-5
Pubmed ID
Authors

Igor Galynker, Zimri S Yaseen, Jessica Briggs, Fumitaka Hayashi

Abstract

Suicide attempts (SA) after psychiatric hospitalization continue to be a major cause of morbidity. Implicit measures may enhance our ability to assess suicide risk. In this context, we describe the first use of the Suicide Opinion Questionnaire (SOQ) to identify post-discharge suicide attempters. Adult psychiatric inpatients admitted for suicidality (N = 91) were administered a battery of measures including the SOQ, and forty were reached and reassessed for SA at two months post-discharge. Exploratory factor analysis (EFA) on items associated with suicidality was performed to identify latent constructs. Linear discriminant analysis (LDA) was used to optimize factor combination for suicide identification. Results were compared with explicit measures of suicidality, and logistic regression was used to control for other risk factors. Finally, a simplified 9-item scale was derived from the results and its performance compared to that of the linear discriminant function. Twenty items differed between patients with and without SA at intake or follow-up. EFA on these identified two factors: suicide attempters indicated greater acceptability and less moral condemnation of suicide. The LDA-derived discriminant function and 9-item scale was significantly sensitive and specific for post-discharge SA. Attitudes of acceptability and lack of condemnation toward suicide may constitute an implicit measure of suicidality that could contribute to risk assessment in a high-risk population.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Unknown 78 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 15%
Student > Master 11 14%
Student > Doctoral Student 11 14%
Other 7 9%
Researcher 6 7%
Other 17 21%
Unknown 17 21%
Readers by discipline Count As %
Psychology 37 46%
Medicine and Dentistry 11 14%
Nursing and Health Professions 4 5%
Neuroscience 2 2%
Social Sciences 2 2%
Other 4 5%
Unknown 21 26%
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 17 April 2015.
All research outputs
#20,268,102
of 22,799,071 outputs
Outputs from BMC Psychiatry
#4,206
of 4,683 outputs
Outputs of similar age
#200,933
of 237,938 outputs
Outputs of similar age from BMC Psychiatry
#79
of 89 outputs
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