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Psychometric Properties of the SCOPA-Cog Turkish version

S. Isazade, H. Ozden, D. Gunal (Istanbul, Turkey)

Meeting: 2025 International Congress

Keywords: Cognitive dysfunction, Non-motor Scales, Parkinson’s

Category: Parkinson's Disease: Cognition / Psychiatric Manifestations / Lewy Body Dementia

Objective: The objective of this study is to adapt SCOPA-COG for Turkish-speaking patients with Parkinson’s disease, ensuring it is both valid and reliable. This will enable clinicians to effectively assess and monitor cognitive functions, addressing an important aspect of the disease that affects patients’ daily lives.

Background: Parkinson’s disease (PD) is widely recognized for its motor symptoms, such as tremors and rigidity, but a significant aspect affecting patients’ quality of life is cognitive impairment. Early detection and intervention are crucial, as timely support can help maintain cognitive functions and improve overall well-being.The Scales for Outcomes in Parkinson’s Disease-Cognition has emerged as a practical tool for identifying cognitive impairments in Parkinson’s patients. Providing clinicians with a reliable instrument to assess cognitive functions in this population is essential for enhancing diagnostic capabilities and improving patient management strategies.

Method: This study involved 100 patients diagnosed with Parkinson’s disease according to the Movement Disorder Society criteria. Participants underwent evaluations with the Mini Mental State Examination, Addenbrooke’s Cognitive Examination-Revised, the Turkish version of SCOPA-COG, parts 1 and 3 of the Unified Parkinson’s Disease Rating Scale, and the Hoehn and Yahr scale (Table1).

Results: The mean scores for SCOPA-COG, MMSE, and ACE-R were 19.91 ± 4.4, 26.77 ± 2.08, and 73.84 ± 7.37, respectively(Table2-3). Validity analysis revealed strong positive correlations between SCOPA-COG and MMSE (r = 0.620, p < 0.001) and ACE-R scores (r = 0.763, p < 0.001) (Table4). The reliability assessment showed a Cronbach’s alpha of 0.737 for SCOPA-COG-TR, and high consistency in test-retest measurements (ICC = 0.901) (Table5). The ROC analysis demonstrated an area under the curve of 0.872 for distinguishing PD-Normal Cognition from PD-MCI, and 0.871 for differentiating PD-MCI from PDD. The cut-off for SCOPA-COG to distinguish between PD-NC and PDD was <20.00 (sensitivity 79.59%, specificity 74.51%). For differentiation between PD-NC and PD-MCI, the cut-off value was <23 (sensitivity 68.60%, specificity 85.71%).

Conclusion: This study confirms that the Turkish adaptation of SCOPA-COG-TR is valid and reliable. It is a crucial tool for clinicians, aiding in the assessment of cognitive impairments in Turkish-speaking PD patients.

Demographic Characteristics of Patients

Demographic Characteristics of Patients

Reference Test Results

Reference Test Results

SCOPA-Cog Test Result

SCOPA-Cog Test Result

Correlations between SCOPA-cog and other scales

Correlations between SCOPA-cog and other scales

Item-total correlation of SCOPA-cog

Item-total correlation of SCOPA-cog

To cite this abstract in AMA style:

S. Isazade, H. Ozden, D. Gunal. Psychometric Properties of the SCOPA-Cog Turkish version [abstract]. Mov Disord. 2025; 40 (suppl 1). https://www.mdsabstracts.org/abstract/psychometric-properties-of-the-scopa-cog-turkish-version/. Accessed November 20, 2025.
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