Abstract

Objective: Depressive symptoms have a high prevalence in patients with Parkinson's disease (PD) and are associated with cognitive dysfunction. Especially in PD with mild cognitive impairment (MCI), a time-efficient and valid instrument for the assessment of depression primarily focusing on psychological symptoms and disregarding confounding somatic symptoms is needed. We performed an examination of the psychometric properties of the Beck Depression Inventory II (BDI-II) and the Beck Depression Inventory Fast Screen (BDI-FS).Methods: The sample consisted of 64 patients [22 females and 42 males, mean age: 67.27 years (SD = 7.32)]. Depressive symptoms were measured in a cohort of PD patients with MCI. For the BDI-II and BDI-FS the psychometric concepts of internal consistency, convergent validity and diagnostic agreement were assessed.Results: Patients gave higher ratings on test items addressing somatic symptoms than those addressing non-somatic ones. The correlation between the absolute total scores of the BDI-II and the BDI-FS was significant (r = 0.91, p < 0.001), which indicated convergent validity. The Cronbach's alpha values indicated adequate internal consistencies for both measures (BDI-II: 0.84; BDI-FS: 0.78). There was a higher than chance level agreement of diagnoses of the two questionnaires, measured by Cohen's kappa (0.58, p < 0.001). The agreements between previous diagnosis of depression and the diagnoses of the BDI-II/BDI-FS were also significantly higher than chance level (BDI-II: 0.34, p = 0.007, BDI-FS: 0.39, p = 0.002). Additional AUC analysis across different cutoffs showed that performance of BDI-FS was better than BDI-II, supporting the observation of an equivalent or better performance of BDI-FS than BDI-II. Importantly, AUC analysis confirmed that a cutoff = 4 for BDI-FS was suitable in the considered sample of patients with PD-MCI.Discussion: In a cohort of PD-MCI, the BDI-FS demonstrates adequate psychometric properties in comparison to the BDI-II and can be used as a screening measure for assessing depression in cognitively impaired PD patients, focusing solely on psychological symptoms. Still, further research is needed to validate this instrument.

Highlights

  • Parkinson’s disease (PD) is primarily known to bear motor symptoms such as tremor, bradykinesia, rigidity, and postural instability [1]

  • The Beck Depression Scale Fast Screen (BDI-FS) agreed significantly more often than chance with a present diagnosis of depression, as indicated by a significant Cohen’s kappa of 0.39 (81%, p < 0.002)

  • The present study aimed to define the psychometric properties of the BDI-FS in a PD-Mild cognitive impairment (MCI) population

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Summary

Introduction

Parkinson’s disease (PD) is primarily known to bear motor symptoms such as tremor, bradykinesia, rigidity, and postural instability [1]. A depressive condition in PD has substantial clinical relevance and a high impact on patients’ quality of life [3]. Efficient and accurate instruments for the diagnosis of depressive symptoms in PD for clinical practice are of utmost importance. As previously described by other studies, an association exists between depression and cognitive dysfunction. The Global Parkinson’s Disease Survey demonstrated that depression is the most important predictor for cognitive dysfunction in PD [5]. This finding emphasizes the relevance of efficient detection of depression in PD with MCI, especially for avoiding further decompensation of the cognitive impairment

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