ArticleBMC geriatrics2020
Sensor-based characterization of daily walking: a new paradigm in pre-frailty/frailty assessment.
Article in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01880229 (Phase II and Phase IIB STTR), which is not on this map. Cited by 21 papers, 2 of them syntheses that pooled it.
What it found
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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.
Phase II and Phase IIB STTR: Portable Device for Telecare Monitoring of Elderly People
Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Digital Technologies and Biomarkers for Locomotor Capacity Assessment in Older Adults: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Sensor for sports applications: monitoring and assessment of intrinsic capacity enhancement in older adults during brisk walking.Frontiers in public health · 2025Pooled it
- Effects of Remote Exercise on Physical Function in Pre-Frail Older Adults: A Randomized Controlled Trial.Medical science monitor : international medical journal of experimental and clinical research · 2025Trial
- Impact of medium-chain triglycerides on gait performance and brain metabolic network in healthy older adults: a double-blind, randomized controlled study.GeroScience · 2022Trial
- Between-day repeatability of sensor-based in-home gait assessment among older adults: assessing the effect of frailty.Aging clinical and experimental research · 2021Trial
- Gait asymmetry across frailty-status groups in older adults: clinical and biomechanical evidence from 3D gait analysis.Annals of medicine · 2026Article
- Multidimensional biomechanical modulation of walking reveals a threshold decline in distal ankle propulsion across aging.European journal of applied physiology · 2026Article
- Database for Prevalence and Determinants of Frailty in the Elderly with Quantifying Functional Mobility.Scientific data · 2026Article
- Correlation Between Objectively Measured Spontaneous Physical Activity and Sedentary Behavior With Frailty Syndrome in Older Adults: A Systematic Review and Meta-Analysis of Observational Studies.Journal of aging research · 2026Review
- Effects of frailty and walking speed on gait variability in older adults.Frontiers in medicine · 2026Article
- Intra-observer and inter-observer repeatability of two slowness tests: Moberg picking-up and Twelve-ball tests.BMC geriatrics · 2025Article
- Article
- Real-world mobility recovery after hip fracture: secondary analyses of digital mobility outcomes from four randomized controlled trials.Age and ageing · 2024Article
- Article
- The prevalence and predictors of geriatric giants in community-dwelling older adults: a cross-sectional study from the Middle East.Scientific reports · 2023Article
- Healthcare Application of In-Shoe Motion Sensor for Older Adults: Frailty Assessment Using Foot Motion during Gait.Sensors (Basel, Switzerland) · 2023Article
- Use of a wearable accelerometer to evaluate physical frailty in people receiving haemodialysis.BMC nephrology · 2023Article
- Kinematic characteristics during gait in frail older women identified by principal component analysis.Scientific reports · 2022Article
- A Sensor-Based mHealth Platform for Remote Monitoring and Intervention of Frailty Patients at Home.International journal of environmental research and public health · 2021Article
- Detecting Fall Risk and Frailty in Elders with Inertial Motion Sensors: A Survey of Significant Gait Parameters.Sensors (Basel, Switzerland) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundFrailty is a highly recognized geriatric syndrome resulting in decline in reserve across multiple physiological systems. Impaired physical function is one of the major indicators of frailty. The goal of this study was to evaluate an algorithm that discriminates between frailty groups (non-frail and pre-frail/frail) based on gait performance parameters derived from unsupervised daily physical activity (DPA).
methodsDPA was acquired for 48 h from older adults (≥65 years) using a tri-axial accelerometer motion-sensor. Continuous bouts of walking for 20s, 30s, 40s, 50s and 60s without pauses were identified from acceleration data. These were then used to extract qualitative measures (gait variability, gait asymmetry, and gait irregularity) and quantitative measures (total continuous walking duration and maximum number of continuous steps) to characterize gait performance. Association between frailty and gait performance parameters was assessed using multinomial logistic models with frailty as the dependent variable, and gait performance parameters along with demographic parameters as independent variables.
resultsOne hundred twenty-six older adults (44 non-frail, 60 pre-frail, and 22 frail, based on the Fried index) were recruited. Step- and stride-times, frequency domain gait variability, and continuous walking quantitative measures were significantly different between non-frail and pre-frail/frail groups (p < 0.05). Among the five different durations (20s, 30s, 40s, 50s and 60s), gait performance parameters extracted from 60s continuous walks provided the best frailty assessment results. Using the 60s gait performance parameters in the logistic model, pre-frail/frail group (vs. non-frail) was identified with 76.8% sensitivity and 80% specificity. DISCUSSION: Everyday walking characteristics were found to be associated with frailty. Along with quantitative measures of physical activity, qualitative measures are critical elements representing the early stages of frailty. In-home gait assessment offers an opportunity to screen for and monitor frailty.
trial registrationThe clinical trial was retrospectively registered on June 18th, 2013 with ClinicalTrials.gov, identifier NCT01880229.
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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.