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Published on: March 17, 2019
Relationships of impulsiveness and depressive symptoms in alcohol dependence
Andrzej Jakubczyk1, Anna Klimkiewicz, Aleksandra Topolewska-Wochowska
1Department of Psychiatry, Medical University of Warsaw, Warsaw, Poland.
Background:
Depressive symptoms as well as high levels of impulsivity are subjects of special interest in alcohol dependence, as these factors are considered to influence the course of this disorder. However, until now mutual relationships between impulsivity and depression have not been investigated thoroughly in alcohol-dependent patients.
Methods:
By means of the Barratt Impulsiveness Scale (BIS-11) and stop-signal task, levels of impulsivity among 304 alcohol-dependent patients were measured. The stop-signal task was used as a manipulation-free method of estimating the level of behavioral impulsiveness, and the BIS-11 is a self report measure of global as well as cognitive impulsivity. Patients were also asked to complete the Beck Depression Inventory (BDI) and Hopelessness Scale (BHS). The results were analyzed in order to examine relationships between impulsiveness and depressive symptoms.
Results:
Statistical analyses revealed significant associations between impulsiveness and severity of depressive symptoms. Individuals with higher scores on the BDI were more impulsive on the BIS-11, whereas patients with higher scores on the BHS were more impulsive on both the stop-signal task and BIS-11. The strongest correlations were found with the attention impulsivity subscale of BIS-11. Adjusting for other variables, a linear regression analysis revealed that cognitive impulsivity was the strongest predictor of depression severity.
Limitations:
The main limitation of the study is a not fully representative sample, with exclusion of patients with active mood disorders
Conclusions:
The results indicate a strong association between depressive symptoms and impulsivity in alcohol-dependent patients, and suggest an important distinction between hopelessness and other depressive symptoms.
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