Cognitive - Behavioural Coping Strategies as Predictor of Suicide Risk Severity

Authors

  • Romulus-Dan Nicoară Iuliu Haţieganu University of Medicine and Pharmacy
  • Ana-Maria Nicoară Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
  • Doina Cosman Medical Psychology Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
  • Horia-George Coman Medical Psychology Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.

DOI:

https://doi.org/10.18662/brain/14.3/458

Keywords:

depression, suicide risk , behavioural coping strategies

Abstract

Background and aim: Cognitive behavioural coping strategies are closely correlated with depression and suicide risk. The aim of this study is to explore the particular features of cognitive-behavioural coping strategies and their impact on depression levels and suicidal ideation.

            Methods: The study included a total of 131 participants, of whom 65 had a clinical diagnosis of depression and 66 were controls. Psychometric tools were administered to both groups: Montgomery-Asberg Depression Scale (MADRS), Depression Anxiety Stress Scale (DASS21R), Strategic approach to coping scale (SACS), Columbia Suicide Severity Rating Scale (C-SSRS), in order to assess the differences between depressive and non-depressive individuals in relation to cognitive behavioural coping strategies.

            Results and conclusion: Results based on statistical analysis of scores obtained on various psychometric scales showed significant differences between depressed and non-depressed patients. Also, cognitive-behavioural strategies could represent predictors that can be used in the prevention of suicide risk.

Author Biography

Romulus-Dan Nicoară, Iuliu Haţieganu University of Medicine and Pharmacy

 

 

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Published

2023-10-06

How to Cite

Nicoară, R.-D., Nicoară, A.-M. ., Cosman, D., & Coman, H.-G. (2023). Cognitive - Behavioural Coping Strategies as Predictor of Suicide Risk Severity. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 14(3), 01-20. https://doi.org/10.18662/brain/14.3/458

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