ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2023
Free-Living Gait Cadence Measured by Wearable Accelerometer: A Promising Alternative to Traditional Measures of Mobility for Assessing Fall Risk.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02166333 (Vitamin D Supplements to Prevent Falls in Older Adults), which is not on this map. Cited by 21 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Vitamin D Supplements to Prevent Falls in Older Adults: A Dose-Response Trial
Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.
- Machine Learning and Deep Learning Models for Predicting Future Falls in Community-Dwelling Older Adults: Systematic Review and Meta-Analysis of Longitudinal Evidence.Journal of medical Internet research · 2026Pooled it
- Measurement properties of the usual and fast gait speed tests in community-dwelling older adults: a COSMIN-based systematic review.Age and ageing · 2024Pooled it
- Real-world walking and activity patterns in community-dwelling older adults: a cross-sectional analysis of baseline data from the SMART-AGE trial.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026Article
- Continuous assessment of daily-living gait using self-supervised learning of wrist-worn accelerometer data.NPJ digital medicine · 2026Article
- VisionMD-Gait: scalable clinical gait assessment from smartphone videos.Scientific reports · 2026Article
- Article
- Daily-Life Walking Characteristics of Older Adults in Relation to Age, Sex, and Physical Function: the HUNT4 Trondheim 70+ Observational Study.JMIR aging · 2025Observational
- Designing a Gait Recognition Algorithm for Older Adults Using Mobility Aids: Prospective Cohort Study.JMIR formative research · 2025Article
- A Reliability Study of Small, Portable, Easy-to-Use, and IMU-Based Sensors for Gait Assessment.Sensors (Basel, Switzerland) · 2025Article
- Estimation of the External Knee Adduction Moment Using Inertial Measurement Unit Sensors on the Shank and Lower Back: A Pilot Study.Journal of functional morphology and kinesiology · 2025Article
- Using Wearable Sensors to Identify Home and Community-Based Movement Using Continuous and Straight Line Stepping Time.Sensors (Basel, Switzerland) · 2025Article
- Nonmotor Symptom Changes and Their Association With Falls Among Parkinson's Disease Patients Undergoing Deep Brain Stimulation: A 1-Year Cohort Study.CNS neuroscience & therapeutics · 2025Article
- Single Camera-Based Gait Analysis Using Pose Estimation for Ankle-Foot Orthosis Stiffness Adjustment on Individuals With Stroke.IEEE journal of translational engineering in health and medicine · 2025Article
- Quantitative analysis of gait and balance using deep learning on monocular videos and the timed up and go test in idiopathic normal-pressure hydrocephalus.Frontiers in aging neuroscience · 2025Article
- Wearable Sensors in Other Medical Domains with Application Potential for Orthopedic Trauma Surgery-A Narrative Review.Journal of clinical medicine · 2024Review
- Daily steps and stepping cadence increase one-year following prosthesis osseointegration in people with lower-limb amputation.Disability and rehabilitation · 2024Article
- Associations between performance-based and patient-reported physical functioning and real-world mobile sensor metrics in older cancer survivors: A pilot study.Journal of geriatric oncology · 2024Article
- Novel Technology-driven Approaches to Enhance Mobility and Reduce Falls in Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023Article
- Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson's Disease.Sensors (Basel, Switzerland) · 2022Article
- Predicting fall risk in older adults: A machine learning comparison of accelerometric and non-accelerometric factors.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundWearable devices have become widespread in research applications, yet evidence on whether they are superior to structured clinic-based assessments is sparse. In this manuscript, we compare traditional, laboratory-based metrics of mobility with a novel accelerometry-based measure of free-living gait cadence for predicting fall rates.
methodsUsing negative binomial regression, we compared traditional in-clinic measures of mobility (6-minute gait cadence, speed, and distance, and 4-m gait speed) with free-living gait cadence from wearable accelerometers in predicting fall rates. Accelerometry data were collected with wrist-worn Actigraphs (GT9X) over 7 days in 432 community-dwelling older adults (aged 77.29 ± 5.46 years, 59.1% men, 80.2% White) participating in the Study to Understand Fall Reduction and Vitamin D in You. Falls were ascertained using monthly calendars, quarterly contacts, and ad hoc telephone reports. Accelerometry-based free-living gait cadence was estimated with the Adaptive Empirical Pattern Transformation algorithm.
resultsAcross all participants, free-living cadence was significantly related to fall rates; every 10 steps per minute higher cadence was associated with a 13.2% lower fall rate (p = .036). Clinic-based measures of mobility were not related to falls (p > .05). Among higher-functioning participants (cadence ≥100 steps/minute), every 10 steps per minute higher free-living cadence was associated with a 27.7% lower fall rate (p = .01). In participants with slow baseline gait (gait speed <0.8 m/s), all metrics were significantly associated with fall rates.
conclusionData collected from biosensors in the free-living environment may provide a more sensitive indicator of fall risk than in-clinic tests, especially among higher-functioning older adults who may be more responsive to intervention. CLINICAL
trial registrationNCT02166333.
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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.