Examination of Depressive Tendencies via Negative Automatic Thoughts in University Students
Sultan Okumuşoğlu 1 *
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1 European University of Lefke, Lefke, N. CYPRUS
* Corresponding Author

This article has been presented in ICES 2017 - International Conference on Environmental Sciences & Educational Studies.

This article belongs to the special issue "Interdisciplinary Research on the Environmental Education, Educational Studies in Sustainability & Instructional Technologies and Designs".

Abstract

Examination of depressive tendencies among university students studying in North Cyprus in terms of factors as gender, class, economic status and satisfaction level from current social connections were aimed. Automatic Thoughts Scale (ATQ) was used to measure depressive tendencies. Participants were reached according to availability principle. Participants are 171 volunteered university students whose origin country is Turkey and studying in various universities at North Cyprus (85 females; 87 freshmen-84 senior; age range 18-30, X̅age=21.25, SD=2.99). According to variance analysis, freshmen students differed with significantly higher mean scores regarding total ATQ scores, ‘confusion and escape fantasies’, ‘loneliness/isolation’ and ‘giving up/helplessness’ subscales of ATQ. Males differed with significantly higher loneliness/isolation scores than females. Statistically significant depressive tendency differences in terms of ATQ total and all subscales among different economic levels were determined. The students who ‘unsatisfied’ with their current social connections differed with significantly higher depressive tendencies from students who are ‘satisfied’.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.12973/ejmste/79633

EURASIA J Math Sci Tech Ed, 2018 - Volume 14 Issue 1, pp. 205-212

Publication date: 02 Nov 2017

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