Older Adults with Maculopathy: Contrast Sensitivity and Mobility Data
by Agathos, Catherine P. / ICPSR Harvested Dataverse·Updated 4mo ago
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Description
A collection of deidentified participant data used in a 2025 American Journal of Ophthalmology study on screening for contrast sensitivity, falls, and mobility limitations in older adults with maculopathy. The data were collected by an ophthalmologist during standard low-vision rehabilitation appointments and reflect patient self-reported impressions. Row count, column count, and sample size are unknown.
Use Cases
Analyze the relationship between self-reported contrast sensitivity and self-reported falls to identify risk factors for mobility limitations.
Investigate patterns in self-reported mobility limitations among older adults with maculopathy based on clinical appointment data.
Use deidentified patient self-reported impressions to study correlations between visual function and physical safety concerns in a low-vision population.
Strengths
Data is directly associated with a peer-reviewed publication in the American Journal of Ophthalmology (2025).
Data collection was performed by an ophthalmologist during standard clinical appointments, providing a real-world context.
The dataset is deidentified, addressing privacy concerns for participant data.
Limitations
The sample size and number of data rows are unknown, limiting assessment of statistical power.
Data consists of self-reported impressions provided to a clinician, which may introduce recall or reporting bias.
Specific variables, measurements, and file formats are not detailed, complicating pre-analysis evaluation.
Collected by an ophthalmologist during standard low-vision rehabilitation appointments; data reflect patient self-reported impressions.
Time Range
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Freshness
Data was last updated in February 2026, indicating recent maintenance.
Geography
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The download contains a 'Participant Data' CSV file and a 'Read Me' file; users should consult the 'Read Me' for specific data dictionary and usage details. License information is unknown.