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Proceedings Paper

Blue light filtering glasses and computer vision syndrome: a pilot study
Author(s): Alexander Dabrowiecki; Alexander Villalobos; Elizabeth A. Krupinski
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Paper Abstract

Computer Vision Syndrome (CVS) is an umbrella term for a pattern of symptoms associated with prolonged digital screen exposure such as eyestrain, headaches, blurred vision, dry eyes, and neck/shoulder pain. Commercially available blue light filtering lenses (BLFL) are advertised as improving CVS. This pilot study evaluated the effectiveness of BLFL on reducing CVS symptoms and fatigue in a cohort of radiology trainees. In this Institutional Review Board approved prospective crossover study, 10 radiology residents were randomized into two cohorts: one wearing BLFL first then a sham pair (non-BLFL), and the other wearing a sham pair first then the BLFL over the course of a typical clinical work day for 5 days. Every evening, participants filled out a questionnaire based on a previously validated CVS questionnaire (CVS-Q:16 questions, Likert scale 1-5) and the Swedish Occupational Fatigue Index (SOFI: 16 questions, Likert scale 0- 10). 10 radiology residents (8 PGY-2, 1 PGY-3, and 1 PGY-4): 4 males, 6 females, participated. Although none of the 32 symptoms demonstrated statistically significant differences, 11/16 (68.8%) symptoms measured on the CVS-Q and 13/16 (81.3%) symptoms measured on the SOFI were reduced with the BLFL compared to the sham glasses. Two symptoms, “drowsy” and “lack of concern,” decreased in the BLFL cohort nearing statistical significance, p = 0.057 and p = 0.075, respectively. Use of BLFL may ameliorate CVS symptoms. Future studies with larger sample sizes and participants of different ages are required to verify the potential of BLFL.

Paper Details

Date Published: 16 March 2020
PDF: 6 pages
Proc. SPIE 11316, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, 1131609 (16 March 2020); doi: 10.1117/12.2547776
Show Author Affiliations
Alexander Dabrowiecki, Emory Univ. School of Medicine (United States)
Alexander Villalobos, Emory Univ. School of Medicine (United States)
Elizabeth A. Krupinski, Emory Univ. School of Medicine (United States)

Published in SPIE Proceedings Vol. 11316:
Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment
Frank W. Samuelson; Sian Taylor-Phillips, Editor(s)

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