Automatic thoughts and cognitive-emotional regulation factors
Andrea Vlašić2023, World Congress of Psychiatry
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Abstract
Objectives The aim of the research was to examine whether cognitive-emotional regulation factors influence the expression of automatic thoughts. Methods A cross-sectional survey was conducted online on 144 general population respondents (average age 37 years). Three questionnaires were applied: 1) The Cognitive Emotional Regulation Questionnaire (CERQ) measures the expression of 9 cognitive emotion regulation strategies: self-blame, acceptance, rumination, positive refocusing, redirection to planning, positive reappraisal, putting in perspective, catastrophizing and blaming others. Each refers to thoughts after experiencing a threatening or stressful life event. The questionnaire consists of 36 items. 2) Automatic Thoughts Questionnaire (ATQ) - by answering 30 items, the frequency of automatic negative thoughts are measured. 3) A socio-demographic questionnaire was used to collect information about the age, gender and education of the respondents. Results The frequency of negative automatic thoughts is significantly positively correlated with self-blame, catastrophizing and rumination, blaming others, and acceptance. The results of the linear regression analysis showed that the model explained 48.3% of the total variance of automatic thoughts. Individual predictors that made the most significant unique contribution to the model are self-blame (beta=.43, p<0,01) and catastrophizing (beta=.27, p<0,01). Conclusions Almost half of the negative automatic thoughts can be explained by factors of cognitive-emotional regulation. Negative automatic thoughts generate emotions, while with cognitive regulation the individual tries to consciously or unconsciously influence emotions. Self-blame and catastrophizing are the most significant predictors of negative automatic thoughts.
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