ArticleJournal of neurology2021
Longitudinal prediction of falls and near falls frequencies in Parkinson's disease: a prospective cohort study.
Article in Journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- A machine learning approach to quantifying fall conversion risk in fall-naïve Parkinson's patients.Parkinsonism & related disorders · 2026Article
- Sex Differences in Fall Frequency, Risk Factors, and Outcomes in Parkinson's Disease: A Cross-Sectional Analysis.Movement disorders clinical practice · 2026Article
- Classification of fallers in Parkinson's disease through machine learning based feature analysis.NPJ Parkinson's disease · 2026Article
- Development and validation of a clinical prediction model for first fall in early Parkinson's disease: a study of two fall-naive cohorts.Frontiers in aging neuroscience · 2026Article
- Fall Frequency, Risk Factors, and Outcomes in Parkinson's Disease: A Cross-Sectional Analysis.medRxiv : the preprint server for health sciences · 2025Article
- A Novel Cooperative AI-Based Fall Risk Prediction Model for Older Adults.Sensors (Basel, Switzerland) · 2025Article
- Cognitive measures predict falls in Parkinson's disease: Insights from the CYCLE-II cohort.Parkinsonism & related disorders · 2025Article
- Nonmotor Symptom Changes and Their Association With Falls Among Parkinson's Disease Patients Undergoing Deep Brain Stimulation: A 1-Year Cohort Study.CNS neuroscience & therapeutics · 2025Article
- Status and influencing factors of balance in middle-aged and older adults with Parkinson's disease: a national longitudinal study.Frontiers in neurology · 2025Article
- Balance and gait disorders in de novo Parkinson's disease: support for early rehabilitation.Journal of neurology · 2024Article
- Tandem gait step-width increases more rapidly in more severely affected people with Parkinson's disease.Parkinsonism & related disorders · 2024Article
- Anticipating Tomorrow: Tailoring Parkinson's Symptomatic Therapy Using Predictors of Outcome.Movement disorders clinical practice · 2024Article
- Associations between performance-based and patient-reported physical functioning and real-world mobile sensor metrics in older cancer survivors: A pilot study.Journal of geriatric oncology · 2024Article
- Risk factors for falls in Parkinson's disease: a cross-sectional observational and Mendelian randomization study.Frontiers in aging neuroscience · 2024Article
- Characterizing neurocognitive impairments in Parkinson's disease with mobile EEG when walking and stepping over obstacles.Brain communications · 2023Article
- Clinical Usefulness of Retropulsion Tests in Persons with Mild to Moderate Parkinson's Disease.International journal of environmental research and public health · 2021Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
INTRODUCTION AND
objectiveSeveral prediction models for falls/near falls in Parkinson's disease (PD) have been proposed. However, longitudinal predictors of frequency of falls/near falls are poorly investigated. Therefore, we aimed to identify short- and long-term predictors of the number of falls/near falls in PD.
methodsA prospective cohort of 58 persons with PD was assessed at baseline (mean age and PD duration, 65 and 3.2 years, respectively) and 3.5 years later. Potential predictors were history of falls and near falls, comfortable gait speed, freezing of gate, dyskinesia, retropulsion, tandem gait (TG), pain, and cognition (Mini-Mental State Exam, MMSE). After each assessment, the participants registered a number of falls/near falls during the following 6 months. Multivariate Poisson regression was used to identify short- and long-term predictors of a number of falls/near falls.
resultsBaseline median (q1-q3) motor (UPDRS) and MMSE scores were 10 (6.75-14) and 28.5 (27-29), respectively. History of falls was the only significant short-time predictor [incidence rate ratio (IRR), 15.17] for the number of falls/near falls during 6 months following baseline. Abnormal TG (IRR, 3.77) and lower MMSE scores (IRR, 1.17) were short-term predictors 3.5 years later. Abnormal TG (IRR, 7.79) and lower MMSE scores (IRR, 1.49) at baseline were long-term predictors of the number of falls/near falls 3.5 years later.
conclusionAbnormal TG and MMSE scores predict the number of falls/near falls in short and long term, and may be indicative of disease progression. Our observations provide important additions to the evidence base for clinical fall prediction in PD.
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