IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v21y2024i6p660-d1399502.html
   My bibliography  Save this article

Relationship between Driving Ability and Physical Fitness Factors in Older Adults: A Multiple Linear Regression Analysis

Author

Listed:
  • Akihiko Katayama

    (Faculty of Sociology, Shikoku Gakuin University, Zentsuji-shi 765-8505, Kagawa, Japan)

  • Takenori Abe

    (Promoting Exercise Association in Kagawa, Marugame-shi 763-0074, Kagawa, Japan)

  • Ayako Hase

    (Department of Clinical Psychology, Faculty of Medicine, Kagawa University, Kita-gun 761-0793, Kagawa, Japan)

  • Nobuyuki Miyatake

    (Department of Hygiene, Faculty of Medicine, Kagawa University, Kita-gun 761-0793, Kagawa, Japan)

Abstract

The number of older drivers is increasing with the aging population; this has led to concerns about traffic accidents involving older drivers. For older adults, the automobile is not just a means of transportation, but a life necessity that promotes social activities and maintains and improves health-related quality of life. In this study, we aimed to clarify the relationship between driving ability and physical fitness factors among 70 older adult drivers using a single regression analysis and multiple regression models adjusted for age, sex, and other factors. Driving ability was evaluated by driving an actual car on an ordinary road without a simulator. The single regression analysis revealed no relationship between driving ability and any physical fitness factor. In the multiple regression model analysis, only grip strength was an important explanatory factor; however, the driving ability scores decreased as grip strength scores increased. By clarifying the physical fitness factors that influence the maintenance and improvement of driving ability, it is possible to propose more efficient intervention programs to maintain and improve driving ability. We could not identify the relevant physical fitness factors in this study; therefore, further research is required to improve safe driving among older adults.

Suggested Citation

  • Akihiko Katayama & Takenori Abe & Ayako Hase & Nobuyuki Miyatake, 2024. "Relationship between Driving Ability and Physical Fitness Factors in Older Adults: A Multiple Linear Regression Analysis," IJERPH, MDPI, vol. 21(6), pages 1-12, May.
  • Handle: RePEc:gam:jijerp:v:21:y:2024:i:6:p:660-:d:1399502
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/21/6/660/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/21/6/660/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nur Hasna Che Had & Khadijah Alavi & Noremy Md Akhir & Irina Riyanti Muhammad Nur & Muhammad Shakir Zufayri Shuhaimi & Hui Foh Foong, 2023. "A Scoping Review of the Factor Associated with Older Adults’ Mobility Barriers," IJERPH, MDPI, vol. 20(5), pages 1-19, February.
    2. Jennifer Oxley & David B. Logan & Selby Coxon & Sjaan Koppel, 2022. "Understanding Current and Future Transport Needs of Older Australian Drivers to Guide Development of Sustainable and Smart Initiatives to Support Safe Mobility of Older Adults," Sustainability, MDPI, vol. 14(10), pages 1-12, May.
    3. Akihiko Katayama & Ayako Hase & Nobuyuki Miyatake, 2023. "Enhancing Driving Ability in Older Adults through Health Exercises and Physical Activity: A Randomized Controlled Trial," IJERPH, MDPI, vol. 20(19), pages 1-13, September.
    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. Akihiko Katayama & Ayako Hase & Nobuyuki Miyatake, 2023. "Enhancing Driving Ability in Older Adults through Health Exercises and Physical Activity: A Randomized Controlled Trial," IJERPH, MDPI, vol. 20(19), pages 1-13, September.
    2. Laura Heubeck & Franziska Hartwich & Franziska Bocklisch, 2023. "To Share or Not to Share—Expected Transportation Mode Changes Given Different Types of Fully Automated Vehicles," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    3. Sylwia Agata Bęczkowska & Iwona Grabarek & Zuzanna Zysk & Katarzyna Gosek-Ferenc, 2022. "Physical Activity and Ecological Means of Transport—Functional Assessment Methodology," IJERPH, MDPI, vol. 19(15), pages 1-15, July.
    4. Charli Sitinjak & Zurinah Tahir & Mohd Ekhwan Toriman & Novel Lyndon & Vladimir Simic & Charles Musselwhite & Wiyanti Fransisca Simanullang & Firdaus Mohamad Hamzah, 2023. "Assessing Public Acceptance of Autonomous Vehicles for Smart and Sustainable Public Transportation in Urban Areas: A Case Study of Jakarta, Indonesia," Sustainability, MDPI, vol. 15(9), pages 1-20, April.

    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:21:y:2024:i:6:p:660-:d:1399502. 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.