1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The effects of mobile phone use on walking: a dual task study

      brief-report

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Objectives

          The aim of this study was to examine the effects of walking at different speeds while using a mobile phone on spatiotemporal stride parameters among young adults. Ten participants (7 male, 3 female; age = 24.7 ± 4.4 years, mean ± 1SD) completed 12 walking trials. Trials consisted of tasks performed at both normal and fast walking speeds—walking only, walking while texting, and walking while talking on a mobile phone. Gait velocity, stride length, cadence, and double support time were computed using data from accelerometers on either shoe.

          Results

          The effects of distracted walking were not significantly larger when performed at a self-selected fast walking speed compared with a normal walking speed. However, walking while texting produced significant decreases in gait velocity, stride length, and cadence, with a significant increase in double support time at both walking speeds. Moreover texting increased the size of the relative variability of walking, observed through a significant increase in the coefficient of variation of cadence, stride length, and double support time. The observed changes may be suggestive of compromised balance when walking while texting regardless of walking speed. This may place the individual at a greater risk of, slips, trips and falls.

          Related collections

          Most cited references20

          • Record: found
          • Abstract: found
          • Article: not found

          Assessing the stability of human locomotion: a review of current measures.

          Falling poses a major threat to the steadily growing population of the elderly in modern-day society. A major challenge in the prevention of falls is the identification of individuals who are at risk of falling owing to an unstable gait. At present, several methods are available for estimating gait stability, each with its own advantages and disadvantages. In this paper, we review the currently available measures: the maximum Lyapunov exponent (λS and λL), the maximum Floquet multiplier, variability measures, long-range correlations, extrapolated centre of mass, stabilizing and destabilizing forces, foot placement estimator, gait sensitivity norm and maximum allowable perturbation. We explain what these measures represent and how they are calculated, and we assess their validity, divided up into construct validity, predictive validity in simple models, convergent validity in experimental studies, and predictive validity in observational studies. We conclude that (i) the validity of variability measures and λS is best supported across all levels, (ii) the maximum Floquet multiplier and λL have good construct validity, but negative predictive validity in models, negative convergent validity and (for λL) negative predictive validity in observational studies, (iii) long-range correlations lack construct validity and predictive validity in models and have negative convergent validity, and (iv) measures derived from perturbation experiments have good construct validity, but data are lacking on convergent validity in experimental studies and predictive validity in observational studies. In closing, directions for future research on dynamic gait stability are discussed.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Attentional resources in timing: interference effects in concurrent temporal and nontemporal working memory tasks.

            Three experiments examined interference effects in concurrent temporal and nontemporal tasks. The timing task in each experiment required subjects to generate a series of 2- or 5-sec temporal productions. The nontemporal tasks were pursuit rotor tracking (Experiment 1), visual search (Experiment 2), and mental arithmetic (Experiment 3). Each nontemporal task had two levels of difficulty. All tasks were performed under both single- and dual-task conditions. A simple attentional allocation model predicts bidirectional interference between concurrent tasks. The main results showed the classic interference effect in timing. That is, the concurrent nontemporal tasks caused temporal productions to become longer (longer productions represent a shortening of perceived time) and/or more variable than did timing-only conditions. In general, the difficult version of each nontemporal task disrupted timing more than the easier version. The timing data also exhibited a serial lengthening effect, in which temporal productions became longer across trials. Nontemporal task performance showed a mixed pattern. Tracking and visual search were essentially unaffected by the addition of a timing task, whereas mental arithmetic was disrupted by concurrent timing. These results call for a modification of the attentional allocation model to incorporate the idea of specialized processing resources. Two major theoretical frameworks--multiple resource theory and the working memory model--are critically evaluated with respect to the resource demands of timing and temporal/nontemporal dual-task performance.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Separating the effects of age and walking speed on gait variability.

              Gait variability has been correlated with fall risk in the elderly. Older adults typically display greater variability than young adults, but the cause of this increase is unclear. Slower walking leads to greater variability in young adults, but slow speeds are also typical in older adults. Increased variability in older adults may result from slower walking speeds, or possibly from other factors related to aging. We tested whether greater variability in healthy older adults could be attributed directly to slower walking speed. Eighteen healthy older adults (age 72+/-6) and 17 gender-, height- and weight-matched young adults (age 23+/-3) walked on a treadmill at speeds of 80-120% of their preferred speed. Variability of spatio-temporal gait measures, lower extremity joint angles, and trunk motions were quantified, along with bilateral isometric leg strengths and passive joint ranges of motion. Preferred walking speeds were not different between our healthy elderly and young subjects. In both groups, variability was speed-dependent for stride time, frontal hip and knee motions, knee internal/external rotations, and all trunk motions (p<0.002). Older adults exhibited greater variability (p=0.0003) for trunk roll, independent of changes in speed. Step length (p=0.005), stride time (p=0.018), and trunk pitch (p=0.022) exhibited similar trends. This greater variability was explained by decreased leg strength and passive ranges of motion. Thus, the greater variability observed in the gait of older adults may result more from loss of strength and flexibility than from their slower speeds.
                Bookmark

                Author and article information

                Contributors
                pjc@nfa.dk
                pm@hst.aau.dk
                nicolas.vuillerme@univ-grnoble-alpes.fr
                Journal
                BMC Res Notes
                BMC Res Notes
                BMC Research Notes
                BioMed Central (London )
                1756-0500
                21 June 2019
                21 June 2019
                2019
                : 12
                : 352
                Affiliations
                [1 ]GRID grid.450307.5, Univ. Grenoble Alpes, AGEIS, ; Grenoble, France
                [2 ]ISNI 0000 0001 0742 471X, GRID grid.5117.2, Sport Sciences, Department of Health Science and Technology, , Aalborg University, ; Aalborg, Denmark
                [3 ]The National Research Centre for the Work Environment, Copenhagen, Denmark
                [4 ]ISNI 0000 0001 1931 4817, GRID grid.440891.0, Institut Universitaire de France, ; Paris, France
                Article
                4391
                10.1186/s13104-019-4391-0
                6588868
                31227009
                2e4c5649-8cb8-418c-bf70-e44316377585
                © The Author(s) 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 13 February 2019
                : 17 June 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001665, Agence Nationale de la Recherche;
                Award ID: ANR-10-AIRT-05
                Award ID: ANR-15-IDEX-02
                Award Recipient :
                Categories
                Research Note
                Custom metadata
                © The Author(s) 2019

                Medicine
                gait control,locomotion,distracted walking,effect of technology,accident risk,multitasking
                Medicine
                gait control, locomotion, distracted walking, effect of technology, accident risk, multitasking

                Comments

                Comment on this article