ArticleAge and ageing2025
Fall risk stratification in older adults: low and not-at-risk status still associated with falls and injuries.
Article in Age and ageing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Validation of the World Falls Guidelines risk stratification algorithm. A systematic review.Age and ageing · 2026Pooled it
- Article
- Intrinsic capacity subtypes in healthy Chinese older adults: links to possible sarcopenia and fall risk.The journal of nutrition, health & aging · 2026Article
- Fall risk and falls count by functional status in patients with hip fracture.BMC geriatrics · 2026Observational
- Are We Missing the Environmental Factors in AI-Based Fall Risk Models?: A Systematic Review.Research square · 2026Article
- The INITIATE (Initial Test for Fall Risk Assessment in the Elderly) prospective cohort study: baseline results.BMC geriatrics · 2025Article
- Quantifying Gait and Posture in Geriatric Inpatients Using Inertial Sensors and Posturography: A Cross-Sectional Study.Diagnostics (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
backgroundFalls guidelines recommendations for individuals classified as 'not-at-risk' range from no further actions to offering education and exercises. However, there is a scarcity of prospective studies analysing the rate of falls and injuries in this not-at-risk group to inform recommendations.
objectiveTo prospectively estimate the rate of falls and injuries in older adults considered 'not-at-risk' for falls.
designProspective cohort study.
settingGeriatric Medicine Clinics. SUBJECTS: Community-dwelling older adults aged 65 and older.
methodsFalls risk stratification was operationalised by adapting the Centers for Disease Control and Prevention's Stopping Elderly Accidents, Deaths and Injuries algorithm. Associations of risk strata (screened not-at-risk vs. at-risk) with incident falls and injuries were estimated using incidence rate ratios [adjusted incident rate ratio (aIRR), Poisson regression model]. Associations between slow gait speed (<1 m/s) and injurious falls were estimated by risk strata using hazard ratios (adjusted hazard ratio, Cox and Poisson regression model).
resultsOf 403 participants, 64% of at-risk individuals fell during the follow-up compared to 41.3% in the not-at-risk group, whilst injurious falls were reported by 63.2% of the not-at-risk group and by 59.7% of the at-risk group. At-risk individuals had a higher rate of falls (aIRR = 3.91, 95% CI: 3.30-4.64, P < .001) but a similar rate of injurious falls as the not-at-risk individuals (aIRR = 1.26, 95% CI: 0.93-1.71; P = .11). Not-at-risk individuals with slow gait speed sustained injurious falls at twice the rate (aIRR = 1.83, 95% CI: 1.12-3.91, P = .008) than those without slow gait speed.
conclusionsBeing screened as not-at-risk for falls does not mean no risk at all. Routinely and universally assessing gait speed could identify not-at-risk individuals who are likely to sustain injuries after a fall and could benefit from primary prevention.
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