Blue light filtering glasses and computer vision syndrome: A pilot study

Alexander Dabrowiecki, Alexander Villalobos, Elizabeth A. Krupinski

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2020
Subtitle of host publicationImage Perception, Observer Performance, and Technology Assessment
EditorsFrank W. Samuelson, Sian Taylor-Phillips
ISBN (Electronic)9781510633995
StatePublished - 2020
EventMedical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment - Houston, United States
Duration: Feb 19 2020Feb 20 2020

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceMedical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment
Country/TerritoryUnited States


  • Blue light filtration
  • Image interpretation
  • Perception
  • Radiology residents

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging


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