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Psychometrics and diagnostics of the Italian version of the Beck Depression Inventory-II (BDI-II) in Parkinson’s disease

INTRODUCTION: Depression is one of the most disabling neuropsychiatric manifestations of Parkinson’s disease (PD) and requires proper screening and diagnosis because it affects the overall prognosis and quality of life of patients. This study aimed to assess the psychometric and diagnostic propertie...

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Detalles Bibliográficos
Autores principales: Maggi, Gianpaolo, D’Iorio, Alfonsina, Aiello, Edoardo Nicolò, Poletti, Barbara, Ticozzi, Nicola, Silani, Vincenzo, Amboni, Marianna, Vitale, Carmine, Santangelo, Gabriella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102079/
https://www.ncbi.nlm.nih.gov/pubmed/36653542
http://dx.doi.org/10.1007/s10072-023-06619-w
Descripción
Sumario:INTRODUCTION: Depression is one of the most disabling neuropsychiatric manifestations of Parkinson’s disease (PD) and requires proper screening and diagnosis because it affects the overall prognosis and quality of life of patients. This study aimed to assess the psychometric and diagnostic properties of the Beck Depression Inventory-II (BDI-II) in an Italian PD cohort. MATERIALS AND METHODS: Fifty consecutive outpatients with PD underwent the Italian version of the BDI-II and other questionnaires to evaluate anxiety and apathetic symptoms. Patients’ caregivers completed the depression/dysphoria domain of the Neuropsychiatric Inventory (NPI-D). We evaluated the internal consistency, convergent and divergent validity, and factorial structure of BDI-II. Sensitivity, specificity, positive and negative predictive values, and likelihood ratios were computed using ROC analyses, and an optimal cutoff was defined using the Youden index. RESULTS: The BDI-II proved to be internally consistent (Cronbach’s α = 0.840) and substantially met the bi-factorial structure. Regarding construct validity, the BDI-II was substantially related to anxiety measures, but not to apathy. With the combination of the NPI-D and anxiety score used as the gold standard, the BDI-II overall showed good accuracy (AUC = 0.859) with adequate sensitivity (75%) and specificity (87%). The optimal cutoff point was defined at 14.50. CONCLUSIONS: We provide evidence of the psychometric and diagnostic properties of the Italian version of the BDI-II as a screening tool for depression in patients with PD. The BDI-II was found to be reliable and valid for the measurement of depression in patients with PD; therefore, it is available for use in clinical research and practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10072-023-06619-w.