Background. Gait characteristics extracted from trunk accelerations during daily life locomotion are complementary to questionnaire- or laboratory-based gait and balance assessments and may help to improve fall risk prediction. Objective. The aim of this study was to identify gait characteristics that are associated with self-reported fall history and that can be reliably assessed based on ambulatory data collected during a single week. Methods. We analyzed 2 weeks of trunk acceleration data (DynaPort MoveMonitor, McRoberts) collected among 113 older adults (age range, 65-97 years). During episodes of locomotion, various gait characteristics were determined, including local dynamic stability, interstride variability, and several spectral features. For each characteristic, we performed a negative binomial regression analysis with the participants' self-reported number of falls in the preceding year as outcome. Reliability of gait characteristics was assessed in terms of intraclass correlations between both measurement weeks. Results. The percentages of spectral power below 0.7 Hz along the vertical and anteroposterior axes and below 10 Hz along the mediolateral axis, as well as local dynamic stability, local dynamic stability per stride, gait smoothness, and the amplitude and slope of the dominant frequency along the vertical axis, were associated with the number of falls in the preceding year and could be reliably assessed (all P < .05, intraclass correlation > 0.75). Conclusions. Daily life gait characteristics are associated with fall history in older adults and can be reliably estimated from a week of ambulatory trunk acceleration measurements.


    Access

    Download


    Export, share and cite



    Title :

    Identification of fall risk predictors in daily life measurements gait characteristics’ reliability and association with self-reported fall history


    Contributors:

    Publication date :

    2015-01-01


    Remarks:

    Rispens , S M , van Schooten , K S , Pijnappels , M A G M , Daffertshofer , A , Beek , P J & van Dieen , J H 2015 , ' Identification of fall risk predictors in daily life measurements gait characteristics’ reliability and association with self-reported fall history ' , Neurorehabilitation and Neural Repair , vol. 29 , no. 1 , pp. 54-61 . https://doi.org/10.1177/1545968314532031



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629



    Influence of focus of attention, reinvestment and fall history on elderly gait stability

    de Melker Worms, Jonathan L.A. / Stins, John F. / van Wegen, Erwin E.H. et al. | BASE | 2017

    Free access

    Cognitive impairment is associated with gait variability and fall risk in amyotrophic lateral sclerosis

    Raffaele Dubbioso / Myriam Spisto / Jeffrey M. Hausdorff et al. | BASE | 2023

    Free access

    Do older women with a fall history cross obstacles differently than older women with no fall history?

    Guadagnin, Eliane C. / Da Rocha, Emmanuel S. / Bobbert, Maarten F. et al. | BASE | 2020

    Free access

    FALL DETECTION DEVICE, FALL DETECTION SYSTEM, FALL DETECTION METHOD AND FALL DETECTION PROGRAM

    MATSUMOTO MITSUHIRO / HIROKANE SEIJI / AIZAWA CHITEI et al. | European Patent Office | 2024

    Free access