ArticleJournal of neuroengineering and rehabilitation2017
Gait characteristics and their discriminative power in geriatric patients with and without cognitive impairment.
Article in Journal of neuroengineering and rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers, 2 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The reliability of gait parameters captured via instrumented walkways: a systematic review and meta-analysis.European journal of physical and rehabilitation medicine · 2022Pooled it
- Dual-Task Gait as a Predictive Tool for Cognitive Impairment in Older Adults: A Systematic Review.Frontiers in aging neuroscience · 2021Pooled it
- Gait smoothness during high-demand motor walking tasks in older adults with mild cognitive impairment.PloS one · 2024Article
- Association between daily gait speed patterns and cognitive impairment in community-dwelling older adults.Scientific reports · 2023Article
- Individuals with a COVID-19 history exhibit asymmetric gait patterns despite full recovery.Journal of biomechanics · 2022Article
- Stable Sparse Classifiers predict cognitive impairment from gait patterns.Frontiers in psychology · 2022Article
- Anticholinergic and Sedative Medications and Dynamic Gait Parameters in Older Patients.Drugs & aging · 2021Article
- Clinical assessment of gait and functional mobility in Italian healthy and cognitively impaired older persons using wearable inertial sensors.Aging clinical and experimental research · 2021Article
- Spatio-temporal gait parameters obtained from foot-worn inertial sensors are reliable in healthy adults in single- and dual-task conditions.Scientific reports · 2021Article
- Can motor function uncertainty and local instability within upper-extremity dual-tasking predict amnestic mild cognitive impairment and early-stage Alzheimer's disease?Computers in biology and medicine · 2020Article
- The detection of age groups by dynamic gait outcomes using machine learning approaches.Scientific reports · 2020Article
- The association between cognition and dual-tasking among older adults: the effect of motor function type and cognition task difficulty.Clinical interventions in aging · 2019Article
- Erratum to: Gait characteristics and their discriminative power in geriatric patients with and without cognitive impairment.Journal of neuroengineering and rehabilitation · 2017Article
- Gait variability-based classification of the stages of the cognitive decline using partial least squares-discriminant analysis.Science progressArticle
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA detailed gait analysis (e.g., measures related to speed, self-affinity, stability, and variability) can help to unravel the underlying causes of gait dysfunction, and identify cognitive impairment. However, because geriatric patients present with multiple conditions that also affect gait, results from healthy old adults cannot easily be extrapolated to geriatric patients. Hence, we (1) quantified gait outcomes based on dynamical systems theory, and (2) determined their discriminative power in three groups: healthy old adults, geriatric patients with- and geriatric patients without cognitive impairment.
methodsFor the present cross-sectional study, 25 healthy old adults recruited from community (65 ± 5.5 years), and 70 geriatric patients with (n = 39) and without (n = 31) cognitive impairment from the geriatric dayclinic of the MC Slotervaart hospital in Amsterdam (80 ± 6.6 years) were included. Participants walked for 3 min during single- and dual-tasking at self-selected speed while 3D trunk accelerations were registered with an IPod touch G4. We quantified 23 gait outcomes that reflect multiple gait aspects. A multivariate model was built using Partial Least Square- Discriminant Analysis (PLS-DA) that best modelled participant group from gait outcomes.
resultsFor single-task walking, the PLS-DA model consisted of 4 Latent Variables that explained 63 and 41% of the variance in gait outcomes and group, respectively. Outcomes related to speed, regularity, predictability, and stability of trunk accelerations revealed with the highest discriminative power (VIP > 1). A high proportion of healthy old adults (96 and 93% for single- and dual-task, respectively) was correctly classified based on the gait outcomes. The discrimination of geriatric patients with and without cognitive impairment was poor, with 57% (single-task) and 64% (dual-task) of the patients misclassified.
conclusionsWhile geriatric patients vs. healthy old adults walked slower, and less regular, predictable, and stable, we found no differences in gait between geriatric patients with and without cognitive impairment. The effects of multiple comorbidities on geriatric patients' gait possibly causes a 'floor-effect', with no room for further deterioration when patients develop cognitive impairment. An accurate identification of cognitive status thus necessitates a multifactorial approach.
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