IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i16p10320-d892330.html
   My bibliography  Save this article

Risks of Accidents Caused by the Use of Smartphone by Pedestrians Are Task- and Environment-Dependent

Author

Listed:
  • Sidney Afonso Sobrinho-Junior

    (Applied Biomechanics Laboratory, Institute of Health, Federal University of Mato Grosso do Sul, UFMS, Campo Grande 79060-900, Brazil)

  • Azriel Cancian Nepomuceno de Almeida

    (Applied Biomechanics Laboratory, Institute of Health, Federal University of Mato Grosso do Sul, UFMS, Campo Grande 79060-900, Brazil)

  • Amanda Aparecida Paniago Ceabras

    (Applied Biomechanics Laboratory, Institute of Health, Federal University of Mato Grosso do Sul, UFMS, Campo Grande 79060-900, Brazil)

  • Carolina Leonel da Silva Carvalho

    (Applied Biomechanics Laboratory, Institute of Health, Federal University of Mato Grosso do Sul, UFMS, Campo Grande 79060-900, Brazil)

  • Tayla Borges Lino

    (Faculty of Medicine, Federal University of Mato Grosso do Sul, UFMS, Campo Grande 79060-900, Brazil)

  • Gustavo Christofoletti

    (Applied Biomechanics Laboratory, Institute of Health, Federal University of Mato Grosso do Sul, UFMS, Campo Grande 79060-900, Brazil
    Faculty of Medicine, Federal University of Mato Grosso do Sul, UFMS, Campo Grande 79060-900, Brazil)

Abstract

Using smartphones during a task that requires an upright posture can be detrimental for the overall motor performance. The aim of this study was to determine the risks of accidents caused by the use of smartphones by pedestrians while walking in a controlled (laboratory) and a non-controlled (public street) environment. Two hundred and one participants, 100 men and 101 women, all young adults, were submitted to walking activities while texting messages and talking on the phone. The risk of accident was measured by the time and the number of steps necessary to walk a 20 ft distance. Assessments were performed with no external distractors (laboratory) and on a public street with vehicles, pedestrians, lights, and noises. Multivariate analysis of variance tests provided the main effect of task (using × not using smartphone), environment (laboratory × street), sex (men × women), and interactions. Significance was set at 5%. The results showed that using a smartphone while walking demanded a greater number of steps and time to perform the task (main effect of task: 0.84; p = 0.001). The risk of accident was higher on the streets where, due to traffic hazards, pedestrians performed the task faster and with a lower number of steps (the main effect of environment: 0.82; p = 0.001). There was no difference of risks between men and women (main effect of sex: 0.01; p = 0.225), whether in the laboratory or on the street (main effect of sex × environment: 0.01; p = 0.905). The task × environment interaction showed that using a smartphone on the street potentiates risks of accidents of pedestrians (main effect of task × environment: 0.41; p = 0.001). In conclusion, using a smartphone while walking can be risky for pedestrians, especially in a traffic environment. People should avoid using their smartphone while crossing streets.

Suggested Citation

  • Sidney Afonso Sobrinho-Junior & Azriel Cancian Nepomuceno de Almeida & Amanda Aparecida Paniago Ceabras & Carolina Leonel da Silva Carvalho & Tayla Borges Lino & Gustavo Christofoletti, 2022. "Risks of Accidents Caused by the Use of Smartphone by Pedestrians Are Task- and Environment-Dependent," IJERPH, MDPI, vol. 19(16), pages 1-9, August.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10320-:d:892330
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/16/10320/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/16/10320/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tal Krasovsky & Joel Lanir & Yasmin Felberbaum & Rachel Kizony, 2021. "Mobile Phone Use during Gait: The Role of Perceived Prioritization and Executive Control," IJERPH, MDPI, vol. 18(16), pages 1-10, August.
    2. Mingyu Hou & Jianchuan Cheng & Feng Xiao & Chenzhu Wang, 2021. "Distracted Behavior of Pedestrians While Crossing Street: A Case Study in China," IJERPH, MDPI, vol. 18(1), pages 1-19, January.
    3. Sarah Kent & Ciara Masterson & Raian Ali & Christine E. Parsons & Bridgette M. Bewick, 2021. "Digital Intervention for Problematic Smartphone Use," IJERPH, MDPI, vol. 18(24), pages 1-16, December.
    4. Sung-Hyeon Kim & Jin-Hwa Jung & Ho-jin Shin & Suk-Chan Hahm & Hwi-young Cho, 2020. "The impact of smartphone use on gait in young adults: Cognitive load vs posture of texting," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-10, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Julia Sajewicz & Alicja Dziuba-Słonina, 2023. "Texting on a Smartphone While Walking Affects Gait Parameters," IJERPH, MDPI, vol. 20(5), pages 1-8, March.
    2. Weichao Hu & Hongzhang Mu & Yanyan Chen & Yixin Liu & Xiaosong Li, 2023. "Modeling Interactions of Autonomous/Manual Vehicles and Pedestrians with a Multi-Agent Deep Deterministic Policy Gradient," Sustainability, MDPI, vol. 15(7), pages 1-14, April.
    3. Marta Nowak & Kamila Rachubińska & Małgorzata Starczewska & Ewa Kupcewicz & Aleksandra Szylińska & Aneta Cymbaluk-Płoska & Elżbieta Grochans, 2022. "Correlations between Problematic Mobile Phone Use and Depressiveness and Daytime Sleepiness, as Well as Perceived Social Support in Adolescents," IJERPH, MDPI, vol. 19(20), pages 1-12, October.

    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. Julia Sajewicz & Alicja Dziuba-Słonina, 2023. "Texting on a Smartphone While Walking Affects Gait Parameters," IJERPH, MDPI, vol. 20(5), pages 1-8, March.
    2. Maria Giannoulaki & Zoi Christoforou, 2024. "Pedestrian Walking Speed Analysis: A Systematic Review," Sustainability, MDPI, vol. 16(11), pages 1-19, June.
    3. Tal Krasovsky & Joel Lanir & Yasmin Felberbaum & Rachel Kizony, 2021. "Mobile Phone Use during Gait: The Role of Perceived Prioritization and Executive Control," IJERPH, MDPI, vol. 18(16), pages 1-10, August.
    4. Mei-Feng Huang & Yu-Ping Chang & Wei-Hsin Lu & Cheng-Fang Yen, 2022. "Problematic Smartphone Use and Its Associations with Sexual Minority Stressors, Gender Nonconformity, and Mental Health Problems among Young Adult Lesbian, Gay, and Bisexual Individuals in Taiwan," IJERPH, MDPI, vol. 19(9), pages 1-12, May.

    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:19:y:2022:i:16:p:10320-:d:892330. 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.