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Validation of the Korean Depressive Symptom Inventory-Suicidality Subscale

Overview of attention for article published in Psychiatry Investigation, September 2017
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Title
Validation of the Korean Depressive Symptom Inventory-Suicidality Subscale
Published in
Psychiatry Investigation, September 2017
DOI 10.4306/pi.2017.14.5.577
Pubmed ID
Authors

Sooyeon Suh, Hyera Ryu, Carol Chu, Melanie Hom, Megan L. Rogers, Thomas Joiner

Abstract

The present study aimed to validate a Korean version of the self-report Depressive Symptom Inventory-Suicidality Subscale (DSI-SS). 553 South Korean undergraduate students (aged 18-34 years, 74.8% females) completed questionnaires. Participants completed Korean versions of the self-report Depressive Symptom Inventory-Suicidality Subscale (DSI-SS), Beck Depression Inventory-II (BDI-II), Insomnia Severity Index (ISI), Beck Scale for Suicide Ideation (BSS), and a measure of suicide-related symptom history. Results indicated that the DSI-SS demonstrated excellent internal consistency (α=0.93) and strong convergent validity with the BDI (r=0.57, p<0.01), ISI (r=0.27, p<0.01), and BSS (r=0.70, p<0.01). DSI-SS scores also significantly differentiated between those reporting a history of suicide attempts compared to non-suicide attempters [t (38.80)=-3.28, p<0.05]. Given the brevity of this measure, and evidence for its validity, the Korean version of the DSI-SS may be particularly promising for clinical and empirical use as a screening tool among South Korean undergraduates.

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The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 13%
Student > Master 4 13%
Student > Doctoral Student 2 6%
Student > Postgraduate 2 6%
Student > Ph. D. Student 2 6%
Other 3 9%
Unknown 15 47%
Readers by discipline Count As %
Medicine and Dentistry 7 22%
Psychology 6 19%
Nursing and Health Professions 2 6%
Neuroscience 1 3%
Unknown 16 50%