Publication details

Gait Speed as a Screening Tool for Foot Pain and the Risk of Falls in Community-Dwelling Older Women: A Cross-Sectional Study

Authors

STEFAN Lovro KASOVIĆ Mario ZVONAŘ Martin

Year of publication 2020
Type Article in Periodical
Magazine / Source Clinical Interventions in Aging
MU Faculty or unit

Faculty of Sports Studies

Citation
Web https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481277/
Doi http://dx.doi.org/10.2147/CIA.S260931
Keywords velocity; discomfort; elderly; risk; falls
Description Purpose: The main purpose of the study was to establish a gait speed cut-off value to predict foot pain and the risk of falls among community-dwelling older adults. Patients and Methods: In this cross-sectional study, one-hundred and twenty White older women speaking Croatian (mean +/- SD age 71.02 +/- 6.78 years, height 161.77 +/- 6.23 cm, weight 70.29 +/- 12.97 kg, body mass index 26.79 +/- 4.42 kg/m2) were recruited. The prevalence of foot pain was assessed by a single-item question and the risk of falls by the Downtown Fall Risk Index with a proposed cut-off value of "low risk" (<3 points) vs "high risk" (>= 3 points) of falls. Self-selected gait speed (the independent variable) was estimated with a pressure platform (Zebris Company, Munich, Germany). Results: Mean gait speed was 0.95 m/s. Of the total sample, 53.30% and 33.30% reported foot pain and had higher risk of falls. For foot pain and the risk of falls, gait speed cut-off values were 0.88 m/s and 0.85 m/s (area under the curve = 0.80 and 0.83, standard error = 0.043 and 0.043, p < 0.001). Sensitivity for foot pain and the risk of falls was 66.20% and 85.90% and specificity was 84.80% and 69.00%. Slower gait speed was associated with higher prevalence of foot pain (OR = 10.92, 95% CI 4.28 to 27.89, p < 0.001) and higher risk of falls (OR = 13.59, 95% CI 5.45 to 33.87, p < 0.001). Conclusion: Proposed gait speed values of 0.88 m/s and 0.85 m/s may be used in clinical settings to predict foot pain and the risk of falls among community-dwelling older women.

You are running an old browser version. We recommend updating your browser to its latest version.

More info