Psychometric properties of the Center for Epidemiologic Studies Depression Scale (CES-D) among people in treatment for substance use disorders

Abstract Background: Comorbidities found high rates of psychiatric comorbidity among people with substance use disorders. Mood and anxiety disorders are the most frequent. Objective: To evaluate the psychometric properties of the Center for Epidemiologic Studies Depression Scale (CES-D) for a clin...

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Main Authors: Telmo Mota Ronzani, Ana Luísa Marlière Casela, Leonardo Fernandes Martins, Pollyanna Santos da Silveira, Kimber Richter
Format: Article
Language:English
Published: Instituto de Estudos em Saúde Coletiva da Universidade Federal do Rio de Janeiro 2025-04-01
Series:Cadernos de Saúde Coletiva
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1414-462X2025000100204&lng=en&tlng=en
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Summary:Abstract Background: Comorbidities found high rates of psychiatric comorbidity among people with substance use disorders. Mood and anxiety disorders are the most frequent. Objective: To evaluate the psychometric properties of the Center for Epidemiologic Studies Depression Scale (CES-D) for a clinical sample of people with a drug addiction diagnosis. Method: 513 outpatients from two public health services for substance abuse treatment participated in this study. To assess the construct validity in our sample, we used a confirmatory factorial analysis (CFA), comparing two previous versions of CES-D that had evidence of validity for other Brazilian populations. Divergent and convergent validity was evaluated using Pearson's correlation test. Reliability coefficients were calculated by Cronbach's alpha (α) and average split-half test. Results: A four dimensions structure fitted well to our data with a better performance. Convergent validity was supported by a moderate positive correlation between CES-D factors and self-stigma. Divergent validity was supported by a negative moderated correlation with hope and self-esteem. Conclusions: The psychometric properties of our proposed model supports the use of CES-D to evaluate depression symptoms among people in treatment for substance use disorders.
ISSN:1414-462X