Psychiatric and socioeconomic aspects as possible predictors of compulsive buying behavior

Abstract Introduction: Compulsive buying can be characterized as an almost irresistible urge to buy various items. Compulsive buying disorder is a subject of growing interest to health professionals. It is a current issue and the prevalence rate in the global population is around 5 to 8%. Objectiv...

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Bibliographic Details
Main Authors: Priscilla Lourenço Leite, Adriana Cardoso Silva
Format: Article
Language:English
Published: Associação de Psiquiatria do Rio Grande do Sul
Series:Trends in Psychiatry and Psychotherapy
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2237-60892016000300141&lng=en&tlng=en
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Summary:Abstract Introduction: Compulsive buying can be characterized as an almost irresistible urge to buy various items. Compulsive buying disorder is a subject of growing interest to health professionals. It is a current issue and the prevalence rate in the global population is around 5 to 8%. Objectives: The main objective of this study was to identify predictors of compulsive buying in the Brazilian population, assessing possible relationships between compulsive buying, depression and anxiety. Methods: The Richmond Compulsive Buying Scale was administered to screen for compulsive buying and the Hospital Anxiety and Depression Scale was used to assess anxiety and depression in a sample of 359 participants. Pearson coefficients were used to test for correlations. Results: Our study identified an interaction between female gender and compulsion to purchase. Furthermore, people's occupations also appear to have an influence on the problem. We found a correlation between depressive symptoms and oniomania. Conclusion: Our study has certain limitations, such as the difficulty in recruiting individuals with compulsive buying disorder. Since compulsive buying is a phenomenon that is seldom investigated, it therefore remains unidentified. However, this is nevertheless a pioneering paper on the Brazilian population.
ISSN:2238-0019