Prediction and prevention of suicidality among patients with depressive disorders: comorbidity as a risk factor

Miloseva, Lence and Milosev, Vladimir and Richter, Kneginja and Peter, Lucas and Niklewski, Günter (2017) Prediction and prevention of suicidality among patients with depressive disorders: comorbidity as a risk factor. EPMA Journal Suppl., 8 (1 ). pp. 1-54. ISSN 1878-5085

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Official URL: https://link.springer.com/journal/13167

Abstract

The aim of this paper is twofold. The first to assess the role of comorbidity as a risk factor in predicting suicidality among patients with depressive disorders and those with comorbidity or dual diagnosis. The second is to discuss implications for prevention. Within the framework of the UGD-supported project, the data were collected from Clinical Hospital, Stip, Macedonia, during the period January 2015 to March 2017. The sample consists of 140 patients (64% female and 36% male) aged 19–72 years. The respondents were divided on the basis of mono and comorbid diagnosis into four subgroups: 1) those with depressive disorder, 2) those with depressive disorder and physical illness, 3) those with depressive disorder and another mental disorder, and 4) those with depressive disorder, physical illness and mental disorder. Data were collected using questionnaires about sociodemographic data, structured interviews and medical documentation, while suicidal behavior was studied using the CSSRS scale [1,2]. Written informed consent was obtained from all study participants.The specific focus was on examining the relationship of suicidal thoughts with gender and comorbidity, frequency and intensity, as well as differences in preparation, trials, methods and number of suicides. Additionally, we examined the characteristics of suicide in 46 respondents and whether there was a difference among groups in terms of suicidal behavior. The results are in line with our expectations, and they show that comorbidity is a significant factor in predicting suicidal behavior [3-5]. A detailed statistical analysis is reported in the paper. Although we are talking about a small sample, at the level of absolute numbers and percentages, where comorbidity is a clinical reality and suicides are related to the number of diagnoses, a larger number of diagnoses leads to a greater risk of suicidal behavior.

Item Type: Article
Subjects: Medical and Health Sciences > Clinical medicine
Divisions: Faculty of Medical Science
Depositing User: Lence Miloseva
Date Deposited: 25 Dec 2017 10:19
Last Modified: 25 Dec 2017 10:19
URI: http://eprints.ugd.edu.mk/id/eprint/18807

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