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Development of a Method to Potentially Substitute Direct Evaluation of Mesopic Visual Acuity in Drivers

Author

Listed:
  • Marta Garcia-Rojo

    (Optometry and Vision Department, Facultad de Óptica y Optometría, Avda, Arcos de Jalón 118, 28037 Madrid, Spain)

  • Cristina Bonnin-Arias

    (Optometry and Vision Department, Facultad de Óptica y Optometría, Avda, Arcos de Jalón 118, 28037 Madrid, Spain
    Neuro-Computing and Neuro-Robotics Research Group, Universidad Complutense de Madrid, Avda, Arcos de Jalón 118, 28037 Madrid, Spain)

  • Eva Chamorro

    (Neuro-Computing and Neuro-Robotics Research Group, Universidad Complutense de Madrid, Avda, Arcos de Jalón 118, 28037 Madrid, Spain)

  • Cristina Alvarez-Peregrina

    (Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain)

  • Celia Sanchez-Ramos

    (Optometry and Vision Department, Facultad de Óptica y Optometría, Avda, Arcos de Jalón 118, 28037 Madrid, Spain
    Neuro-Computing and Neuro-Robotics Research Group, Universidad Complutense de Madrid, Avda, Arcos de Jalón 118, 28037 Madrid, Spain)

Abstract

(1) Background: In mesopic lighting conditions, or under adverse environmental circumstances, visual information is reduced, which increases the risk of traffic accidents. This effect could be reduced with a precise evaluation of the visual function under mesopic conditions, but it is difficult to replicate in clinics. This study aims to develop an easy-to-adopt method to evaluate mesopic visual acuity (VA) in drivers. (2) Methods: Prospective and observational study in drivers. logMAR mesopic VA was compared with photopic VA measured under different combinations of contrast charts and filters to find the combination that responds best to mesopic conditions. (3) Results: Fifty-six drivers were examined. The best correlation was found with an 80% density filter and a Weber contrast chart of 20%. The logMAR VA for this combination was 0.01 ± 0.11, which was close to the mesopic VA values (0.01 ± 0.12). The difference between both logMAR VA was 0.00 ± 0.06 (R = 0.86; p ≤ 0.001; ICC = 0.86). (4) Conclusions: The use of 20% contrast optotypes and the interposition of an 80% filter under photopic conditions provide VA values similar to those measured under mesopic lighting conditions, making this simple system a good predictor of mesopic VA values.

Suggested Citation

  • Marta Garcia-Rojo & Cristina Bonnin-Arias & Eva Chamorro & Cristina Alvarez-Peregrina & Celia Sanchez-Ramos, 2021. "Development of a Method to Potentially Substitute Direct Evaluation of Mesopic Visual Acuity in Drivers," IJERPH, MDPI, vol. 18(9), pages 1-10, April.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:9:p:4733-:d:545928
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    References listed on IDEAS

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    1. Teja Pristavec, 2018. "Social Participation in Later Years: The Role of Driving Mobility," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 73(8), pages 1457-1469.
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