| ORIGINAL ARTICLE |
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| Year : 2022 | Volume
: 9
| Issue : 3 | Page : 83-89 |
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Examination of the relationship between depressive mood level and attentional bias
Nazende Ceren Oksuz Ozdemir
Dogus University, İstanbul, Turkey
Correspondence Address:
Nazende Ceren Oksuz Ozdemir
Dogus University, Istanbul
Turkey
 Source of Support: None, Conflict of Interest: None
DOI: 10.4103/jnbs.jnbs_25_22
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Summary: Attention is defined as the cognitive process to detect a particular internal or external stimulus, and maintaining focus are closely related to mood. The orientation of the attention resource (Attention allocation) is shaped by the mood of the person. Focusing more on negative and threatening stimuli than neutral and/or positive stimuli in the outside world is called “Attentional Bias”. This article emphasizes that attentional bias is linked with the level of depressive mood state, between a low level of depressive mood and a high level of depression. Aim: This research aimed to examine if there is an attentional bias toward negative stimuli among individuals with depressive symptoms. Materials and Methods: The Hamilton Depression Rating Scale and the Point Locating Task were administered to the participants. The research consists of a sample of 90 undergraduate and graduate students selected by random sampling method. Results: Based on the research findings, there is a positive and significant relationship between the level of depression and attentional orientation. The result of the study indicated that there is a significant negative relationship between depression scores and attentional orientation. When the attentional bias of the participants was examined according to their depression levels, it was found that the attentional bias of the participants with moderate depression symptoms was significantly higher than those without depression symptoms. Conclusion: These results indicated that relationship between attentional bias and depression level. Further studies are needed to examine depression levels and attentional bias levels in a larger sample size.
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