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Colombia Médica

On-line version ISSN 1657-9534

Abstract

SERRANI AZCURRA, Daniel. Psychometric validation of the Columbia-Suicide Severity rating scale in Spanish-speaking adolescents. Colomb. Med. [online]. 2017, vol.48, n.4, pp.174-182. ISSN 1657-9534.  https://doi.org/10.25100/cm.v43i4.2294.

Introduction:

Adolescent suicide is a major public health issue, and early and accurate detection is of great concern. There are many reliable instruments for this purpose, such as the Columbia-Suicide severity rating scale (C-SSRS), but no validation exists for Spanish speaking Latin American adolescents.

Objetive:

To assess psychometric properties and cut-off scores of the C-SSRS in Spanish speaking adolescents.

Methods:

Exploratory assessment with principal component analysis (PCA) and Varimax rotation, and confirmatory analysis (CFA) were performed on two groups with 782 and 834 participants respectively (N=1616). Mean age was 24.8 years. A Receiver operator analysis was applied to distinguish between control and suicide-risk subgroups adolescents.

Results:

Promax rotation yielded two 10-items factors, for suicide ideation and behavior respectively. C-SSRS was positively correlated with other suicide risk scales, such as Beck Depression Inventory-II, Suicidal Behaviors Questionnaire-Revised, or PHQ-9. Confirmatory factor analysis yielded a two-factor solution as the best goodness of fit model. C-SSRS showed adequate ability to detect suicide risk group with positive predictive value of 68.3%. ROC analyses showed cutoff scores of ≥ 6 and ≥ 4 for suicide ideation and behavior scales respectively

Conclusion:

This research offers data supporting psychometric validity and reliability of C-SSRS in nonclinical Spanish-speaking students. Added benefits are flexible scoring and management easiness. This questionnaire yields data on distinct aspects of suicidality, being more parsimonious than separate administration of a bunch of questionnaires.

Keywords : Columbia-Suicide Severity Rating Scale; adolescents; psychometric validation; cut-off scores.

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