The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Does the Evaluation of Gait Quality During Daily Life Provide Insight Into Fall Risk? A Novel Approach Using 3-Day Accelerometer Recordings
Abstract
Background. Many approaches are used to evaluate fall risk. While their properties and performance vary, most reflect performance at a specific moment or are based on subjective self-report. Objective. To quantify fall risk in the home setting using an accelerometer. Methods. Seventy-one community-living older adults were studied. In the laboratory, fall risk was assessed using performance-based tests of mobility (eg, Timed Up and Go) and usual walking abilities were quantified. Subsequently, subjects wore a triaxial accelerometer on their lower back for 3 consecutive days. Acceleration-derived measures were extracted from segments that reflected ambulation. These included total activity duration, number of steps taken, and the amplitude and width at the dominant frequency in the power spectral density, that is, parameters reflecting step-to-step variability. Afterwards, self-report of falls was collected for 6 months to explore the predictive value. Results. Based on a history of 2 or more falls, subjects were classified as fallers or nonfallers. The number of steps during the 3 days was similar ( P = .42) in the fallers (7842.1 ± 6135.6) and nonfallers (9055.3 ± 6444.7). Compared with the nonfallers, step-to-step consistency was lower in the fallers in the vertical axis (amplitude fallers, 0.58 ± 0.22 psd; nonfallers, 0.71 ± 0.18 psd; P = .008); in the mediolateral axis, step-to-step consistency was higher in the fallers ( P = .014). The 3-day measures improved the identification of past and future falls status ( P < .005), compared to performance-based tests. Conclusions. Accelerometer-derived measures based on 3-day recordings are useful for evaluating fall risk as older adults perform daily living activities in their everyday home environment.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Timed “Up & Go”: A Test of Basic Functional Mobility for Frail Elderly Persons
Podsiadlo, D., & Richardson, S. (1991) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1991.tb01616.x · Cited by 14,418
Gait speed and survival in older adults.
Studenski, S. (2011) · JAMA · doi:10.1001/jama.2010.1923 · Cited by 4,558
Interventions for preventing falls in older people living in the community
Gillespie, L. D., Robertson, M. C., Gillespie, W. J., Sherrington, C., Gates, S., Clemson, L., & Lamb, S. E. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007146.pub3 · Cited by 3,966
Incidence and predictors of falls in the Chinese elderly
Chu, L., Chi, I., & Chiu, A. (2005) · Annals of the Academy of Medicine, Singapore · doi:10.47102/annals-acadmedsg.v34n1p60 · Cited by 316
Cited by
Objective Assessment of Fall Risk in Parkinson's Disease Using a Body-Fixed Sensor Worn for 3 Days
Weiss, A., Herman, T., Giladi, N., & Hausdorff, J. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096675 · Cited by 225
Self-citationIluz, T., Gazit, E., Herman, T., Sprecher, E., Brozgol, M., Giladi, N., Mirelman, A., & Hausdorff, J. M. (2014) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-11-48 · Cited by 76
Self-citationIncreasing fall risk awareness using wearables: a fall risk awareness protocol
Danielsen, A., Olofsen, H., & Bremdal, B. A. (2016) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2016.08.016 · Cited by 66
Continuous leg dyskinesia assessment in Parkinson's disease –clinical validity and ecological effect
Ramsperger, R., Meckler, S., Heger, T., van Uem, J., Hucker, S., Braatz, U., Graessner, H., Berg, D., Manoli, Y., Serrano, J. A., et al. (2016) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2016.02.007 · Cited by 41
Metadata
- Authors
- Weiss, A., Brozgol, M., Dorfman, M., Herman, T., Shema, S., Giladi, N., & Hausdorff, J. M.
- Venue
- Neurorehabilitation and Neural Repair
- Publisher
- SAGE Publications
- Published
- 2013-06-17
- Volume
- 27
- Issue
- 8
- Pages
- 742-752
- ISSN
- 0888-4390 (ISSN-L)
- 1545-9683
- 1552-6844
- OpenAlex
- W2156809737
- Cited by
- 304
- References
- 4
- FWCI
- 52.14
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Does the Evaluation of Gait Quality During Daily Life Provide Insight Into Fall Risk? A Novel Approach Using 3-Day Accelerometer Recordings. https://app.cochat.ai/papers/10.1177/1545968313491004
- The paper
- Weiss, A., Brozgol, M., Dorfman, M., Herman, T., Shema, S., Giladi, N., & Hausdorff, J. M. (2013). Does the Evaluation of Gait Quality During Daily Life Provide Insight Into Fall Risk? A Novel Approach Using 3-Day Accelerometer Recordings. Neurorehabilitation and Neural Repair. https://doi.org/10.1177/1545968313491004
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.