Examining links between cognitive markers, movement initiation and change, and pedestrian safety in older adults
| Autor: | Kim Rochelle, Jennifer Geraghty, Carol Holland |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Male
Risk Engineering medicine.medical_specialty Poison control Human Factors and Ergonomics Pedestrian Walking 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation Cognition 0502 economics and business medicine Humans Attention Mobility Limitation Safety Risk Reliability and Quality Simulation Aged Pedestrians Aged 80 and over 050210 logistics & transportation business.industry 05 social sciences Public Health Environmental and Occupational Health Accidents Traffic Age Factors Middle Aged Executive functions Cognitive test Preferred walking speed Useful field of view Female Safety business 030217 neurology & neurosurgery |
| Zdroj: | Accident; analysis and prevention. 89 |
| ISSN: | 1879-2057 |
| Popis: | Objective: The purpose of this study was to determine the extent to which mobility indices (such as walking speed and postural sway), motor initiation, and cognitive function, specifically executive functions, including spatial planning, visual attention, and within participant variability, differentially predicted collisions in the near and far sides of the road with increasing age. Methods: Adults aged over 45 years participated in cognitive tests measuring executive function and visual attention (using Useful Field of View; UFoV®), mobility assessments (walking speed, sit-to-stand, self-reported mobility, and postural sway assessed using motion capture cameras), and gave road crossing choices in a two-way filmed real traffic pedestrian simulation. Results: A stepwise regression model of walking speed, start-up delay variability, and processing speed) explained 49.4% of the variance in near-side crossing errors. Walking speed, start-up delay measures (average & variability), and spatial planning explained 54.8% of the variance in far-side unsafe crossing errors. Start-up delay was predicted by walking speed only (explained 30.5%). Conclusion: Walking speed and start-up delay measures were consistent predictors of unsafe crossing behaviours. Cognitive measures, however, differentially predicted near-side errors (processing speed), and far-side errors (spatial planning). These findings offer potential contributions for identifying and rehabilitating at-risk older pedestrians. |
| Databáze: | OpenAIRE |
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