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Digital eye strain: Prevalence, measurement and amelioration
Amy L Sheppard
,
James S. Wolffsohn
Optometry
Ophthalmic Research Group
College of Health and Life Sciences
Aston Research Centre for Health in Ageing
Research output
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Article
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peer-review
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Keyphrases
Digital Eye Strain
100%
Accommodative
33%
Dry Eye
33%
Computer Users
33%
Vergence
16%
Visual Fatigue
16%
Visual Symptoms
16%
Age Groups
16%
Management Approach
16%
Eye Care Professionals
16%
Universal Applicability
16%
Refractive Error
16%
Subjective Measures
16%
High Prevalence
16%
Spectacle Lenses
16%
Binocular Vision
16%
Accommodative Function
16%
Economic Impact
16%
Blink Rate
16%
Social Purpose
16%
Management Options
16%
Ocular Symptoms
16%
Objective Evaluation
16%
All Ages
16%
Daily Use
16%
Digital Devices
16%
Professional Purpose
16%
Visual Estimate
16%
Computer Vision Syndrome
16%
Evaluation Parameters
16%
Questionnaire Evaluation
16%
Digital Device Usage
16%
Blue Light-filtering
16%
Nursing and Health Professions
Prevalence
100%
Dry Eye
66%
Human Computer Interaction
66%
Eye Care Professional
33%
Refraction Error
33%
Syndrome
33%
Spectacles
33%
Medicine and Dentistry
Prevalence
100%
Dry Eye
66%
Eye Care
33%
Refractive Error
33%
Binocular Convergence
33%
Eyelid Reflex
33%
Binocular Vision
33%