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A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
Published on: February 11, 2014
Visual acuity, self-reported vision and falls in the EPIC-Norfolk Eye study
Jennifer L Y Yip1, Anthony P Khawaja, David Broadway
1Department of Public Health & Primary Care, University of Cambridge, , Cambridge, UK.
Self-reported vision (SRV) and visual acuity (VA) are linked to falls. Poorer SRV independently predicts falls, suggesting it can identify individuals needing vision-related fall prevention strategies.
Area of Science:
- Ophthalmology
- Gerontology
- Public Health
Background:
- Falls are a significant health concern, particularly among older adults.
- Vision impairment is a known risk factor for falls.
- Understanding the relationship between different measures of vision and fall risk is crucial for targeted interventions.
Purpose of the Study:
- To investigate the association between visual acuity (VA) and self-reported vision (SRV) with falls.
- To determine if SRV can serve as a proxy for vision-related fall risk.
Main Methods:
- A cohort of 8317 participants from the European Prospective Investigation into Cancer-Norfolk Eye study was analyzed.
- Data on SRV, distance VA, and number of falls in the past year were collected.
- Logistic regression was used to analyze the relationship between vision measures and falls, adjusting for covariates.
Main Results:
- Approximately 26.7% of participants reported at least one fall in the past 12 months.
- Worse VA and poorer SRV were both significantly associated with an increased risk of falls.
- Poorer SRV remained a significant predictor of falls even after accounting for VA.
Conclusions:
- Self-reported vision is independently associated with falls, irrespective of objective visual acuity.
- SRV can be utilized as a straightforward proxy measure for visual function to identify individuals at risk of falls.
- This finding supports the use of SRV in screening for individuals who may benefit from vision-related fall prevention programs.
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