The DOI matches its Crossref record.
Gait Changes in Older Adults: Predictors of Falls or Indicators of Fear?
Abstract
OBJECTIVE : To determine, in a cohort of ambulatory older adults, whether spatial‐temporal measures of foot placement during gait can predict the likelihood of future falls or whether these measures are more likely to be indicative of adaptations associated with pre‐existing fear of falling. DESIGN : Prospective cohort study. SETTING : Baseline gait measurements were performed in a gait and balance laboratory; subsequent history of falling was monitored prospectively for 1 year in two self‐care facilities. PARTICIPANTS : Fourteen male and 61 female consecutive volunteers (mean age = 82, SD = 6) who were independent in activities of daily living and able to walk 10 m unaided. MEASUREMENTS : Spatial gait parameters were derived from digitized “footprints”; temporal parameters were derived using footswitches. A clinical activity‐based gait assessment was also performed. The dependent variables were pre‐existing fear of falling (reported at baseline) and future falling (experiencing one or more falls during the 1‐year follow‐up). MAIN RESULTS : Reduced stride length, reduced speed, increased double‐support time, and poorer clinical gait scores were associated with fear but showed little evidence of an independent association with falling. Conversely, increased stride‐to‐stride variability in stride length, speed, and double‐support was associated independently with falling but showed little evidence of relationship to fear. Increased stride width showed some evidence of association with both falling and fear. Stride‐to‐stride variability in speed was the single best independent predictor of falling. CONCLUSIONS : Changes in gait cited previously as risk factors for falling, i.e., decreased stride length and speed and prolonged double support, may in fact be stabilizing adaptations related to fear of falling. Stride‐to‐stride variability in the control of gait is an independent predictor of falling and may be a useful measure for identifying high‐risk individuals and evaluating preventive interventions. Stride width may also be a useful outcome measure. Contrary to common expectation, a wider stride does not necessarily increase stability but instead seems to predict an increased likelihood of experiencing falls.
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
Cited by
White Paper: “Walking Speed: the Sixth Vital Sign”
Fritz, S., & Lusardi, M. (2009) · Journal of Geriatric Physical Therapy · doi:10.1519/00139143-200932020-00002 · Cited by 1,390
Muscle weakness and falls in older adults: a systematic review and meta-analysis
Moreland, J. D., Richardson, J. A., Goldsmith, C. H., & Clase, C. M. (2004) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2004.52310.x · Cited by 988
Control of human gait stability through foot placement
Bruijn, S. M., & van Dieën, J. H. (2018) · Journal of The Royal Society Interface · doi:10.1098/rsif.2017.0816 · Cited by 424
Wu, J. J., Liu, J., Chen, E. B., Wang, J. J., Cao, L., Narayan, N., Fergusson, M. M., Rovira, I. I., Allen, M., Springer, D. A., et al. (2013) · Cell Reports · doi:10.1016/j.celrep.2013.07.030 · Cited by 307
Frenkel-Toledo, S., Giladi, N., Peretz, C., Herman, T., Gruendlinger, L., & Hausdorff, J. M. (2005) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-2-23 · Cited by 285
Grimmer, M., Riener, R., Walsh, C. J., & Seyfarth, A. (2019) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-018-0458-8 · Cited by 249
Billot, M., Calvani, R., Urtamo, A., Sánchez-Sánchez, J. L., Ciccolari-Micaldi, C., Chang, M., Roller-Wirnsberger, R., Wirnsberger, G., Sinclair, A., Vaquero-Pinto, M. N., et al. (2020) · Clinical Interventions in Aging · doi:10.2147/cia.s253535 · Cited by 242
Measurement of foot placement and its variability with inertial sensors
Rebula, J. R., Ojeda, L. V., Adamczyk, P. G., & Kuo, A. D. (2013) · Gait & Posture · doi:10.1016/j.gaitpost.2013.05.012 · Cited by 180
Meaningful change in measures of gait variability in older adults
Brach, J. S., Perera, S., Studenski, S., Katz, M., Hall, C., & Verghese, J. (2010) · Gait & Posture · doi:10.1016/j.gaitpost.2009.10.002 · Cited by 167
Two independent contributions to step variability during over-ground human walking
Collins, S. H., & Kuo, A. D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073597 · Cited by 129
Diabetes mellitus and gait dysfunction: possible explanatory factors
Brach, J. S., Talkowski, J. B., Strotmeyer, E. S., & Newman, A. B. (2008) · Physical Therapy · doi:10.2522/ptj.20080016 · Cited by 101
Liu-Ambrose, T., Khan, K. M., Donaldson, M. G., Eng, J. J., Lord, S. R., & McKay, H. A. (2006) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/61.8.832 · Cited by 68
Bytyçi, I., & Henein, M. Y. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10122670 · Cited by 52
The effects of gait strategy on metabolic rate and indicators of stability during downhill walking
Monsch, E. D., Franz, C. O., & Dean, J. C. (2012) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2012.05.024 · Cited by 35
Depression: a modifiable factor in fearful older fallers transitioning to frailty?
Ní Mhaoláin, A. M., Fan, C. W., Romero‐Ortuno, R., Cogan, L., Cunningham, C., Lawlor, B., & Kenny, R. (2012) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2780 · Cited by 28
Ritzmann, R., Freyler, K., Kümmel, J., Gruber, M., Belavy, D. L., Felsenberg, D., Gollhofer, A., Kramer, A., & Ambrecht, G. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.01713 · Cited by 26
Metadata
- Authors
- Maki, B. E.
- Venue
- Journal of the American Geriatrics Society
- Publisher
- Wiley
- Published
- 1997-03
- Volume
- 45
- Issue
- 3
- Pages
- 313-320
- ISSN
- 0002-8614 (ISSN-L)
- 1532-5415
- OpenAlex
- W1964970459
- Cited by
- 1,721
- References
- 0
- FWCI
- 34.92
- 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
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.