Evidence map›Paper›PMID 30682643›Full record

ArticleGait & posture2019

Assessment of gait kinetics in post-menopausal women using tri-axial ankle accelerometers during barefoot walking.

Stefan I Madansingh, Dennis H Murphree, Kenton R Kaufman, Emma Fortune

Abstract read
In one paragraph

Article in Gait & posture, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 42% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Stefan I MadansinghAssistive and Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, 55905, USA.
Dennis H MurphreeRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, 55905, USA; Division of Biomedical Informatics and Statistics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA.
Kenton R KaufmanMotion Analysis Laboratory, Division of Orthopedic Research, Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, 55905, USA.
Emma FortuneRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, 55905, USA; Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA. Electronic address: Fortune.emma@mayo.edu.
Mayo Clinic in Florida · USMayo Clinic in Arizona · US

Funding

Biomarker for Skeletal Loading Using Triaxial AccelerometersR21AR066643 · NIAMS · MAYO CLINIC ROCHESTER · PI FORTUNE, EMMA · 2016 to 2017
$366k
NIAMS NIH HHS R21 AR066643
6 · The paper itself

Abstract

backgroundPhysical activity (PA) interventions, designed to increase exposure to ground reaction force (GRF) loading, are a common target for reducing fracture risk in post-menopausal women with low bone mineral density (BMD). Unfortunately, accurate tracking of PA in free-living environments and the ability to translate this activity into evaluations of bone health is currently limited. RESEARCH QUESTION: This study evaluates the effectiveness of ankle-worn accelerometers to estimate the vertical GRFs responsible for bone and joint loading in post-menopausal women at a range of self-selected walking speeds during barefoot walking.

methodsSeventy women, at least one year post-menopause, wore Actigraph GT3X + on both ankles and completed walking trials at self-selected speeds (a minimum of five each at fast, normal and slow walking) along a 30 m instrumented walkway with force plates and photocells to measure loading and estimate gait velocity. Repeated measures correlation analysis and step-wise mixed-effects modelling were performed to evaluate significant predictors of peak vertical GRFs normalized to body weight (pVGRFbw), including peak vertical ankle accelerations (pVacc), walking velocity (Vel

resultsA strong repeated measures correlation of r = 0.75 (95%CI [0.71-0.76] via 1000 bootstrap passes) between pVacc and pVGRFbw was observed. Five-fold cross-validation of mixed-model predictions yielded an average mean-absolute-error (MAE[95%CI]) and root-mean-square-error (RMSE) rate of 5.98%[5.61-6.42] and 0.076 [0.069-0.082] with a more complex model (including Vel SIGNIFICANCE: This study is the first to show a strong relationship among ankle accelerometry data and high fidelity lower-limb loading approximations in post-menopausal women. The results provide the first steps necessary for estimation of real-world limb and joint loading supporting the goals of accurate PA tracking and improved individualization of clinical interventions.

Indexed as

AccelerationAccelerometryAgedAnkleAnkle JointBiomechanical PhenomenaExerciseFemaleGaitHumansKineticsMiddle AgedPostmenopauseWalkingWalking SpeedAccelerometerGround reaction forceModelingPost-menopausal

Identifiers

PMID30682643
PMCPMC6579643
OpenAlexW2909761106

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.