IntroductionDepression 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 methodsFifty 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.ResultsThe BDI-II proved to be internally consistent (Cronbach's alpha = 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.ConclusionsWe 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.

Psychometrics and diagnostics of the Italian version of the Beck Depression Inventory-II (BDI-II) in Parkinson's disease / G. Maggi, A. D'Iorio, E.N. Aiello, B. Poletti, N. Ticozzi, V. Silani, M. Amboni, C. Vitale, G. Santangelo. - In: NEUROLOGICAL SCIENCES. - ISSN 1590-3478. - 44:5(2023 May), pp. 1607-1612. [10.1007/s10072-023-06619-w]

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

B. Poletti;N. Ticozzi;V. Silani;
2023

Abstract

IntroductionDepression 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 methodsFifty 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.ResultsThe BDI-II proved to be internally consistent (Cronbach's alpha = 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.ConclusionsWe 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.
Anxiety; Beck Depression Inventory; Depression; Diagnostics; Parkinson’s disease; Psychometrics
Settore MED/26 - Neurologia
Settore M-PSI/08 - Psicologia Clinica
mag-2023
18-gen-2023
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/956263
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