ReviewEuropean review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity2023
Systematic review of candidate prognostic factors for falling in older adults identified from motion analysis of challenging walking tasks.
Review in European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity, 2023. 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 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, 20 citations in OpenAlex.
- Comparison and validation of machine learning models to predict 5-year fall risk among community-dwelling older adults in China.BMC geriatrics · 2026Article
- The relationship between ankle quasi-stiffness and postural stability in older adults during obstacle negotiations using the dominant and non-dominant sides.Frontiers in bioengineering and biotechnology · 2026Article
- One-Year Prospective Study on Smartphone-Based Coefficient of Variation Analysis of Seated Stepping Movements for Fall Risk Prediction in Older Adults.Sensors (Basel, Switzerland) · 2025Article
- Older adult frontal plane balance during 90 degree turns while walking.Scientific reports · 2025Article
- Multimodal Factors Affect Longitudinal Changes in Dynamic Balance in Community-Dwelling Older Adults.Clinical interventions in aging · 2025Article
- Neuropsychological and psychiatric outcomes among community-dwelling young Chinese older adults affected by falls in the past year with and without vision impairment.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024Article
- Association Between Antihypertensive Medications and Fracture Risk in Elderly Patients: A Cross-Sectional Study.Cureus · 2024Article
- Walking on a Balance Beam as a New Measure of Dynamic Balance to Predict Falls in Older Adults and Patients with Neurological Conditions.Sports medicine - open · 2024Article
- In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control study.BMC medical informatics and decision making · 2023Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective of this systematic review is to identify motion analysis parameters measured during challenging walking tasks which can predict fall risk in the older population. Numerous studies have attempted to predict fall risk from the motion analysis of standing balance or steady walking. However, most falls do not occur during steady gait but occur due to challenging centre of mass displacements or environmental hazards resulting in slipping, tripping or falls on stairs. We conducted a systematic review of motion analysis parameters during stair climbing, perturbed walking and obstacle crossing, predictive of fall risk in healthy older adults. We searched the databases of Pubmed, Scopus and IEEEexplore.A total of 78 articles were included, of which 62 simply compared a group of younger to a group of older adults. Importantly, the differences found between younger and older adults did not match those found between older adults at higher and lower risk of falls. Two prospective and six retrospective fall history studies were included. The other eight studies compared two groups of older adults with higher or lower risk based on mental or physical performance, functional decline, unsteadiness complaints or task performance. A wide range of parameters were reported, including outcomes related to success, timing, foot and step, centre of mass, force plates, dynamic stability, joints and segments. Due to the large variety in parameter assessment methods, a meta-analysis was not possible. Despite the range of parameters assessed, only a few candidate prognostic factors could be identified: older adults with a retrospective fall history demonstrated a significant larger step length variability, larger step time variability, and prolonged anticipatory postural adjustments in obstacle crossing compared to older adults without a fall history. Older adults who fell during a tripping perturbation had a larger angular momentum than those who did not fall. Lastly, in an obstacle course, reduced gait flexibility (i.e., change in stepping pattern relative to unobstructed walking) was a prognostic factor for falling in daily life. We provided recommendations for future fall risk assessment in terms of study design.In conclusion, studies comparing older to younger adults cannot be used to explore relationships between fall risk and motion analysis parameters. Even when comparing two older adult populations, it is necessary to measure fall history to identify fall risk prognostic factors.
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