ArticleGerontology & geriatric medicine
STEADI Self-Report Measures Independently Predict Fall Risk.
Article in Gerontology & geriatric medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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
9 citing papers in PubMed.
- Manhattan Vision Screening and Follow-up Study (NYC-SIGHT): a nested cross-sectional assessment of falls risk within a cluster randomised trial.The British journal of ophthalmology · 2024Trial
- Impact of Documented Fall-Risk, Self-Reported Health and Confidence to Prevent Falls on Concern About Falling Among Community-Dwelling Older Adults: Secondary Analysis of a Randomized Clinical Trial.Clinical interventions in aging · 2024Trial
- Protocol for a Pilot Two-Arm Crossover Randomized Controlled Trial of the ACTIVE Intervention for Older Adults with and Without Mild Dementia and Their Care Partners.Journal of clinical medicine · 2026Article
- The effect of osteoporosis on fall risk, balance, and fear of falling in postmenopausal women: a controlled cross-sectional study.Irish journal of medical science · 2026Article
- Validation of a portable pressure tile system for standing and stepping stability assessment in young and older adults.PloS one · 2026Article
- Updating STEADI for Primary Care: Recommendations From the American Geriatrics Society Workgroup.Journal of the American Geriatrics Society · 2025Article
- Application of the implementation research logic model for evaluating a framework for disseminating arthritis-appropriate evidence-based interventions.Frontiers in health services · 2025Article
- An observational pilot evaluation of the Walk with Ease program for reducing fall risk among older adults.Archives of public health = Archives belges de sante publique · 2023Article
- Effect of Coenzyme Q10 Supplementation on Sarcopenia, Frailty, and Falls: A Scoping Review.The journal of nutrition, health & aging · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Falls are a significant contributor to disability and death among older adults. Despite practice guidelines to increase falls screening in healthcare settings, preventive care for falls continues to be infrequently delivered. Simplifying screening by relying on self-report of balance, gait, or strength concerns, alone may increase the frequency of falls screening. We assessed the diagnostic accuracy of self-report measures of gait, strength, and balance from the Centers for Disease Control and Prevention's Stopping Elderly Accidents, Deaths, and Injuries (STEADI) for identification of fall risk. The criterion standard for fall risk was the Timed Up-and-Go (TUG). Assessments were conducted with 95 adults aged 65 years or older in an outpatient osteoporosis clinic between May 2015 and September 2016. Receiver operating characteristic curve analysis found that two self-report questions ("I feel unsteady with walking" and "I need my arms to stand from a chair") had high discriminatory ability (AUC 0.906; 95% CI 0.870-0.942) to identify those at high fall risk; additional questions did not substantially improve discrimination. These findings suggest that two self-report questions identify those at risk of falling who would benefit from interventions (e.g., physical therapy). Performance testing as part of routine falls screening of older persons in the outpatient setting may be unnecessary.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.