ArticleGait & posture2017
Stride variability measures derived from wrist- and hip-worn accelerometers.
Article in Gait & posture, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Impact of Sleep Quality on Gait Variability: Pilot Cohort Study.JMIR aging · 2026Article
- Lumbar Acceleration Gait Estimation: "Step-by-Step" Algorithm Updates and Improvements.Journal of medical Internet research · 2025Article
- Assessing adult physical activity and compliance with 2008 CDC guidelines using a Bayesian two-part measurement error model.Journal of applied statistics · 2023Article
- Assessment of Physical Activity in Adults Using Wrist Accelerometers.Epidemiologic reviews · 2022Review
- Adaptive empirical pattern transformation (ADEPT) with application to walking stride segmentation.Biostatistics (Oxford, England) · 2021Article
- Fit-for-Purpose Biometric Monitoring Technologies: Leveraging the Laboratory Biomarker Experience.Clinical and translational science · 2021Review
- Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis.Current neurology and neuroscience reports · 2019Review
- Accelerometry data in health research: challenges and opportunities.Statistics in biosciences · 2019Article
- A review of accelerometer-derived physical activity in the idiopathic inflammatory myopathies.BMC rheumatology · 2019Article
- An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors.Sensors (Basel, Switzerland) · 2018Article
- Expanding the Toolkit for Studies of Aging.The journal of prevention of Alzheimer's diseaseArticle
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
Many epidemiological and clinical studies use accelerometry to objectively measure physical activity using the activity counts, vector magnitude, or number of steps. These measures use just a fraction of the information in the raw accelerometry data as they are typically summarized at the minute level. To address this problem, we define and estimate two measures of temporal stride-to-stride gait variability based on raw accelerometry data: Amplitude Deviation (AD) and Phase Deviation (PD). We explore the sensitivity of our approach to on-body placement of the accelerometer by comparing hip, left and right wrist placements. We illustrate the approach by estimating AD and PD in 46 elderly participants in the Developmental Epidemiologic Cohort Study (DECOS) who worn accelerometers during a 400m walk test. We also show that AD and PD have a statistically significant association with the gait speed and sit-to-stand test performance.
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What OpenQuestion holds
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.