ArticleJournal of the Royal Society, Interface2014
Identification of functional parameters for the classification of older female fallers and prediction of 'first-time' fallers.
Article in Journal of the Royal Society, Interface, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Can transcranial direct current stimulation combined with interactive computerized cognitive training boost cognition and gait performance in older adults with mild cognitive impairment? a randomized controlled trial.Journal of neuroengineering and rehabilitation · 2024Trial
- Article
- Relationship between history of falls and foot pressure centre parameters during gait and stance in patients with lower-limb osteoarthritis.Scientific reports · 2025Article
- Transcranial Direct Current Stimulation for Global Cognition in Mild Cognitive Impairment.Chonnam medical journal · 2025Review
- The Minimum Number of Strides Required for Reliable Gait Measurements in Older Adult Fallers and Non-Fallers.Sensors (Basel, Switzerland) · 2024Article
- Left and Right Cortical Activity Arising from Preferred Walking Speed in Older Adults.Sensors (Basel, Switzerland) · 2023Article
- A machine learning approach to identify important variables for distinguishing between fallers and non-fallers in older women.PloS one · 2023Article
- A Novel Privacy Preservation and Quantification Methodology for Implementing Home-Care-Oriented Movement Analysis Systems.Sensors (Basel, Switzerland) · 2022Article
- Finite Element Assessment of Bone Fragility from Clinical Images.Current osteoporosis reports · 2021Review
- A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open-access code.Physiological reports · 2021Review
- Quantification of the Link between Timed Up-and-Go Test Subtasks and Contractile Muscle Properties.Sensors (Basel, Switzerland) · 2021Article
- Comparing Machine Learning Methods to Improve Fall Risk Detection in Elderly with Osteoporosis from Balance Data.Journal of healthcare engineering · 2021Article
- Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders.Sensors (Basel, Switzerland) · 2020Article
- Fall-related functional impairments in patients with neurological gait disorder.Scientific reports · 2020Article
- Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device.Sensors (Basel, Switzerland) · 2020Article
- A method to concatenate multiple short time series for evaluating dynamic behaviour during walking.PloS one · 2019Article
- The step-to-step transition mode: A potential indicator of first-fall risk in elderly adults?PloS one · 2019Article
- Does variability of footfall kinematics correlate with dynamic stability of the centre of mass during walking?PloS one · 2019Article
- Less Is More - Estimation of the Number of Strides Required to Assess Gait Variability in Spatially Confined Settings.Frontiers in aging neuroscience · 2018Article
- Developing clinical procedures to diagnose specific motor control impairments associated with low back pain: prone hip extension (PHE), active straight leg raise (ASLR), and gait variability.The Journal of the Canadian Chiropractic Association · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Falls remain a challenge for ageing societies. Strong evidence indicates that a previous fall is the strongest single screening indicator for a subsequent fall and the need for assessing fall risk without accounting for fall history is therefore imperative. Testing in three functional domains (using a total 92 measures) were completed in 84 older women (60-85 years of age), including muscular control, standing balance, and mean and variability of gait. Participants were retrospectively classified as fallers (n = 38) or non-fallers (n = 42) and additionally in a prospective manner to identify first-time fallers (FTFs) (n = 6) within a 12-month follow-up period. Principal component analysis revealed that seven components derived from the 92 functional measures are sufficient to depict the spectrum of functional performance. Inclusion of only three components, related to mean and temporal variability of walking, allowed classification of fallers and non-fallers with a sensitivity and specificity of 74% and 76%, respectively. Furthermore, the results indicate that FTFs show a tendency towards the performance of fallers, even before their first fall occurs. This study suggests that temporal variability and mean spatial parameters of gait are the only functional components among the 92 measures tested that differentiate fallers from non-fallers, and could therefore show efficacy in clinical screening programmes for assessing risk of first-time falling.
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