Vision Wellness Institute
Evidence-Based Eye Health Education
Evidence-Based Eye Health Education
Access peer-reviewed research on vision health, digital eye strain, and related topics.
Welcome to the Vision Wellness Institute's Research Database, a curated collection of peer-reviewed studies on vision health, digital eye strain, blue light, and related topics. Our database is regularly updated with the latest research to provide healthcare professionals, researchers, and interested individuals with access to evidence-based information.
Use the filters below to find specific research based on topic, publication date, study type, or keywords.
This randomized controlled trial investigated the effects of blue-light filtering lenses on symptoms of digital eye strain among 240 office workers over a 12-week period. Participants were randomly assigned to wear either blue-light filtering lenses or standard lenses while using digital devices. Results showed a statistically significant reduction in symptoms of eye fatigue, dry eye, and headache in the blue-light filtering group compared to the control group, particularly during extended screen use (>6 hours daily).
View Full StudyThis systematic review and meta-analysis evaluated the effectiveness of visual ergonomic interventions in reducing digital eye strain in workplace settings. The analysis included 28 studies with a total of 4,562 participants. Results indicated that comprehensive ergonomic interventions combining workstation adjustments, regular breaks, and vision correction significantly reduced symptoms of digital eye strain by an average of 42% compared to no intervention. Screen positioning and ambient lighting modifications showed the strongest individual effects.
View Full StudyThis study measured blink rates and patterns in 120 participants during various digital device activities. Blink rates decreased by 60% during smartphone use and 52% during computer use compared to baseline. Incomplete blinks increased by 78% during digital device use. Participants with higher incomplete blink rates reported more severe dry eye symptoms.
This longitudinal study followed 850 children aged 7-12 years over a 5-year period to assess the relationship between digital screen time and myopia progression. Children with >3 hours of daily screen time showed significantly faster myopia progression (0.59D/year) compared to those with <1 hour (0.32D/year). Outdoor time was identified as a protective factor.
This study evaluated the effectiveness of the 20-20-20 rule (taking a 20-second break every 20 minutes to look at something 20 feet away) in reducing digital eye strain symptoms. 180 office workers were randomized to either follow the rule with automated reminders or continue their usual work patterns. After 8 weeks, the intervention group reported a 47% reduction in eye strain symptoms compared to 12% in the control group.
This meta-analysis of 42 studies (N=28,450) examined the relationship between digital device use before bedtime and sleep quality. Results showed that using digital devices within 1 hour of bedtime was associated with longer sleep latency (mean difference: 13.8 minutes), reduced total sleep time (mean difference: 25.6 minutes), and poorer sleep quality. Blue light filtering interventions showed modest benefits.
This study compared digital eye strain symptoms among users of different display technologies: OLED, LCD, e-ink, and mini-LED. 320 participants used each display type for standardized reading tasks. E-ink displays were associated with the lowest symptom scores, followed by mini-LED, OLED, and LCD. Flicker, blue light emission, and contrast ratios were identified as key factors influencing symptom severity.
This study evaluated an AI-based system that uses computer webcams to detect poor ergonomic posture and provide real-time feedback. In a 12-week trial with 150 office workers, the system significantly improved viewing angles, working distances, and posture. Participants reported a 38% reduction in neck pain and a 42% reduction in visual discomfort compared to the control group.