IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i20p7416-d426775.html
   My bibliography  Save this article

Impact of Age-Related Vision Changes on Driving

Author

Listed:
  • Sonia Ortiz-Peregrina

    (Laboratory of Vision Sciences and Applications, Department of Optics, University of Granada, 18071 Granada, Spain)

  • Carolina Ortiz

    (Laboratory of Vision Sciences and Applications, Department of Optics, University of Granada, 18071 Granada, Spain)

  • Miriam Casares-López

    (Laboratory of Vision Sciences and Applications, Department of Optics, University of Granada, 18071 Granada, Spain)

  • José J. Castro-Torres

    (Laboratory of Vision Sciences and Applications, Department of Optics, University of Granada, 18071 Granada, Spain)

  • Luis Jiménez del Barco

    (Laboratory of Vision Sciences and Applications, Department of Optics, University of Granada, 18071 Granada, Spain)

  • Rosario G. Anera

    (Laboratory of Vision Sciences and Applications, Department of Optics, University of Granada, 18071 Granada, Spain)

Abstract

Aging leads to impaired visual function, which can affect driving—a very visually demanding task—and has a direct impact on an individual’s quality of life if their license is withdrawn. This study examined the associations between age-related vision changes and simulated driving performance. To this end, we attempted to determine the most significant visual parameters in terms of evaluating elderly drivers’ eyesight. Twenty-one younger drivers (aged 25–40) were compared to 21 older drivers (aged 56–71). Study participants were assessed for visual acuity, contrast sensitivity, halos, and intraocular straylight, which causes veiling luminance on the retina and degrades vision. Driving performance was evaluated using a driving simulator. The relationships between simulated driving performance and the visual parameters tested were examined with correlation analyses and linear regression models. Older drivers presented impairment in most visual parameters ( p < 0.05), with straylight being the most significantly affected (we also measured the associated effect size). Older drivers performed significantly worse ( p < 0.05) in the simulator test, with a markedly lower performance in lane stability. The results of the multiple linear regression model evidenced that intraocular straylight is the best visual parameter for predicting simulated driving performance (R 2 = 0.513). Older drivers have shown significantly poorer results in several aspects of visual function, as well as difficulties in driving simulator performance. Our results suggest that the non-standardized straylight evaluation could be significant in driver assessments, especially at the onset of age-related vision changes.

Suggested Citation

  • Sonia Ortiz-Peregrina & Carolina Ortiz & Miriam Casares-López & José J. Castro-Torres & Luis Jiménez del Barco & Rosario G. Anera, 2020. "Impact of Age-Related Vision Changes on Driving," IJERPH, MDPI, vol. 17(20), pages 1-12, October.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:20:p:7416-:d:426775
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/20/7416/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/20/7416/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sandra Rosenbloom, 2001. "Sustainability and automobility among the elderly: An international assessment," Transportation, Springer, vol. 28(4), pages 375-408, November.
    2. Ignacio Lijarcio & Sergio A. Useche & Javier Llamazares & Luis Montoro, 2020. "Are Your Eyes “on the Road”? Findings from the 2019 National Study on Vision and Driving Safety in Spain," IJERPH, MDPI, vol. 17(9), pages 1-18, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lovejoy, Kristin, 2012. "Mobility Fulfillment Among Low-car Households: Implications for Reducing Auto Dependence in the United States," Institute of Transportation Studies, Working Paper Series qt4v44b5qn, Institute of Transportation Studies, UC Davis.
    2. Cristina Alvarez-Peregrina & Clara Martinez-Perez & Cesar Villa-Collar & Miguel Ángel Sánchez-Tena, 2021. "Influence of Vision on Drivers: A Pilot Study," IJERPH, MDPI, vol. 18(22), pages 1-9, November.
    3. Su, Rongxiang & Xiao, Jingyi & McBride, Elizabeth C. & Goulias, Konstadinos G., 2021. "Understanding senior's daily mobility patterns in California using human mobility motifs," Journal of Transport Geography, Elsevier, vol. 94(C).
    4. Schmöcker, Jan-Dirk & Quddus, Mohammed A. & Noland, Robert B. & Bell, Michael G.H., 2008. "Mode choice of older and disabled people: a case study of shopping trips in London," Journal of Transport Geography, Elsevier, vol. 16(4), pages 257-267.
    5. Xuefeng Li & Yong Zhang & Mingyang Du, 2018. "Analysis of Travel Decision-Making for Urban Elderly Healthcare Activities under Temporal and Spatial Constraints," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
    6. Yang, Yongjiang & Sasaki, Kuniaki & Cheng, Long & Tao, Sui, 2022. "Does the built environment matter for active travel among older adults: Insights from Chiba City, Japan," Journal of Transport Geography, Elsevier, vol. 101(C).
    7. Ignacio Lijarcio & Sergio A. Useche & Javier Llamazares & Luis Montoro, 2020. "Are Your Eyes “on the Road”? Findings from the 2019 National Study on Vision and Driving Safety in Spain," IJERPH, MDPI, vol. 17(9), pages 1-18, May.
    8. Miwa Matsuo, 2020. "Carpooling and drivers without household vehicles: gender disparity in automobility among Hispanics and non-Hispanics in the U.S," Transportation, Springer, vol. 47(4), pages 1631-1663, August.
    9. Klein, Nicholas J. & Guerra, Erick & Smart, Michael J., 2018. "The Philadelphia story: Age, race, gender and changing travel trends," Journal of Transport Geography, Elsevier, vol. 69(C), pages 19-25.
    10. Pauline Van den Berg & Astrid Kemperman & Boy De Kleijn & Aloys Borgers, 2015. "Locations that Support Social Activity Participation of the Aging Population," IJERPH, MDPI, vol. 12(9), pages 1-18, August.
    11. Deeksha Tayal & Aasha Kapur Mehta, 2021. "Working Women, Delhi Metro and Covid-19: A Case Study in Delhi-NCR," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 64(2), pages 389-413, June.
    12. Khandker Habib, 2015. "An investigation on mode choice and travel distance demand of older people in the National Capital Region (NCR) of Canada: application of a utility theoretic joint econometric model," Transportation, Springer, vol. 42(1), pages 143-161, January.
    13. Lovejoy, Kristin & Handy, Susan, 2011. "Social networks as a source of private-vehicle transportation: The practice of getting rides and borrowing vehicles among Mexican immigrants in California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 248-257, May.
    14. Asbridge, Mark & Desapriya, Ediriweera & Ogilvie, Rachel & Cartwright, Jenny & Mehrnoush, Vahid & Ishikawa, Takuro & Nuwan Weerasinghe, Dinesh, 2017. "The impact of restricted driver’s licenses on crash risk for older drivers: A systematic review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 137-145.
    15. Lin, Ting (Grace) & Xia, Jianhong (Cecilia) & Robinson, Todd P. & Goulias, Konstadinos G. & Church, Richard L. & Olaru, Doina & Tapin, John & Han, Renlong, 2014. "Spatial analysis of access to and accessibility surrounding train stations: a case study of accessibility for the elderly in Perth, Western Australia," Journal of Transport Geography, Elsevier, vol. 39(C), pages 111-120.
    16. Xu, JieLan, 2020. "Generational trends of gendered mobility: How do they interact with geographical contexts?," Journal of Transport Geography, Elsevier, vol. 82(C).
    17. Biranchi Adhikari & Ajay Kumar Behera & Rabindra Narayan Mahapatra & Harish Chandra Das, 2022. "Retracted: An empirical model for Indian senior citizens in traffic management," Growth and Change, Wiley Blackwell, vol. 53(1), pages 35-56, March.
    18. Moniruzzaman, Md. & Páez, Antonio & Nurul Habib, Khandker M. & Morency, Catherine, 2013. "Mode use and trip length of seniors in Montreal," Journal of Transport Geography, Elsevier, vol. 30(C), pages 89-99.
    19. Theo Arentze & Harry Timmermans & Peter Jorritsma & Marie-José Olde Kalter & Arnout Schoemakers, 2008. "More gray hair—but for whom? Scenario-based simulations of elderly activity travel patterns in 2020," Transportation, Springer, vol. 35(5), pages 613-627, August.
    20. Valentina Carella & Paola Monachesi, 2018. "Greener through Grey? Boosting Sustainable Development through a Philosophical and Social Media Analysis of Ageing," Sustainability, MDPI, vol. 10(2), pages 1-13, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:20:p:7416-:d:426775. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.