Clinimetrics of the Freezing of Gait Questionnaire for Parkinson Disease During the “off” State

Authors

  • Fatemeh Mahdizadeh Neuromuscular Research Center, Semnan University of Medical Sciences, Semnan, Iran.
  • Ghorban Taghizadeh Department of Occupational Therapy, Rehabilitation Research Center, School of Rehabilitation Sciences, Iran University of Medical Science, Tehran, Iran.
  • Mahsa Meimandi Department of Occupational Therapy, School of Rehabilitation Sciences, Iran University of Medical Science, Tehran, Iran.
  • Maryam Mehdizadeh Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran.
  • Pablo Martinez-Martin National Center of Epidemiology and CIBERNED, Carlos III Institute of Health, Madrid, Spain.
  • Sajad Sabbaghi Department of Occupational Therapy, School of Rehabilitation Sciences, University of Social Welfare Rehabilitation, Tehran, Iran.
  • Sepide Goudarzi Department of Pharmacology and Toxicology, Faculty of Pharmacy, Tehran University of Medical Science, Tehran, Iran.
  • Seyed Mohammad Fereshtehnejad Department of Neurobiology, Division of Clinical Geriatrics, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden.
Abstract:

Introduction: Freezing of gait, a common PD motor symptom, could increase the risk of falling. This study aimed to investigate the clinimetric attributes of the Freezing of Gait Questionnaire (FOGQ) for people with Parkinson disease in the “off” state. Methods: A total of 115 patients with Parkinson disease (PD; mean age, 60.25 years) were included. Acceptability, internal consistency (by the Cronbach alpha, and test-retest by Intraclass Correlation [ICC]), and reliability of the Persian-translated version of the FOGQ were examined. Dimensionality was estimated by Exploratory Factor Analysis (EFA). Fall efficacy scale-international, unified Parkinson disease rating scale-II, Berg balance scale, functional reach test, and Parkinson disease questionnaire-39 were applied to determine the convergent validity. Diagnostic accuracy for obtaining optimal cutoff point, separating faller and non-faller groups, was analyzed by Receiver Operating Characteristics (ROC) curve analysis and Area Under the Curve (AUC). All tests were carried out in an “off” state. Results: The Cronbach alpha was high (α=0.92). The test-retest showed high reliability (ICC=0.89). The FOGQ was unidimensional according to the EFA and had acceptable convergent validity with moderate to high correlation with other clinical scales. The optimal cutoff point to discriminate fallers from non-fallers during the “off” state was 9/10, with an AUC of 0.92. Conclusion: Our results suggest that the FOGQ has appropriate reliability, validity, and discriminative ability for measuring FOG in patients with PD during the “off” state.

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Journal title

volume 12  issue 1

pages  69- 78

publication date 2021-01

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