The DOI matches its Crossref record.
The Contribution of Foot Problems to Mobility Impairment and Falls in Community-Dwelling Older People
Abstract
OBJECTIVES: To investigate the relationship between foot problems, balance, and functional ability in community-dwelling older people and to determine whether older people with a history of multiple falls exhibit greater foot impairment than those who have not fallen or who have fallen once only. DESIGN: A cross-sectional, retrospective study. SETTING: Falls and Balance Laboratory, Royal North Shore Hospital, Sydney, Australia. PARTICIPANTS: One hundred thirty-five community-dwelling men and women age 75 to 93 (mean age +/- standard deviation, 79.8 +/- 4.1). MEASURES: Foot problem score; postural sway; coordinated stability; stair ascent and descent; an alternate stepping test; timed 6-meter walk; and tests of vision, sensation, strength, and reaction time. RESULTS: Eighty-seven percent of the sample had at least one foot problem. Women had a significantly higher foot problem score than did men. The foot problem score was significantly associated with performance on the coordinated stability test, stair ascent and descent, alternate stepping test, and timed 6-meter walk. Multiple regression analyses revealed that the foot problem score was a significant independent predictor of performance in the coordinated stability test, stair ascent and descent, and the alternate stepping test. Subjects with a history of multiple falls had a significantly higher foot problem score than did those who had not fallen or who had fallen once only, but the prevalence of individual foot conditions or the presence of foot pain did not differ between these groups. CONCLUSIONS: Foot problems are common in older people and are associated with impaired balance and performance in functional tests. Furthermore, older people with a history of multiple falls have greater foot impairment than non- or once-only fallers. These findings provide further evidence that foot problems are a falls risk factor and suggest that the cumulative effect of multiple foot problems is more important in increasing falls risk than the presence or absence of individual foot conditions.
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
Brown, C. J., Gottschalk, M., Van Ness, P. H., Fortinsky, R. H., & Tinetti, M. E. (2005) · Physical Therapy · doi:10.1093/ptj/85.5.394 · Cited by 52
Metadata
- Authors
- Menz, H. B., & Lord, S. R.
- Venue
- Journal of the American Geriatrics Society
- Publisher
- Wiley
- Published
- 2001-12
- Volume
- 49
- Issue
- 12
- Pages
- 1651-1656
- ISSN
- 0002-8614 (ISSN-L)
- 1532-5415
- OpenAlex
- W2058542506
- Cited by
- 271
- References
- 0
- FWCI
- 11.61
- 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.