Evidence map›Paper›PMID 36329467›Full record

ArticleJournal of neuroengineering and rehabilitation2022

Limb accelerations during sleep are related to measures of strength, sensation, and spasticity among individuals with spinal cord injury.

Stephanie K Rigot, Michael L Boninger, Dan Ding, Jennifer L Collinger, Brad E Dicianno, Lynn A Worobey

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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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

2 citing papers in PubMed.

  1. Rethinking Movement: From Capacity to Context.Kinesiology review (Champaign, Ill.) · 2026
    Article
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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

6 authors.

Stephanie K RigotRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA.
Michael L BoningerRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA.
Dan DingHuman Engineering Research Laboratories, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA.
Jennifer L CollingerRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA.
Brad E DiciannoHuman Engineering Research Laboratories, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA.
Lynn A WorobeyRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA. law93@pitt.edu.

Funding

NRSA Training CoreTL1TR001858 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RADOMSKI, THOMAS, RUBIO, DORIS M · 2016 to 2025
$11.1M
Characterizing Activity Patterns in Functional Mobility After Spinal Cord InjuryK23HD096134 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WOROBEY, LYNN A · 2019 to 2023
$625k
NCATS NIH HHS TL1 TR001858NICHD NIH HHS K23 HD096134NIH HHS K23HD096134NIH HHS TL1TR001858
6 · The paper itself

Abstract

backgroundTo evaluate the relationship between measures of neuromuscular impairment and limb accelerations (LA) collected during sleep among individuals with chronic spinal cord injury (SCI) to provide evidence of construct and concurrent validity for LA as a clinically meaningful measure.

methodsThe strength (lower extremity motor score), sensation (summed lower limb light touch scores), and spasticity (categorized lower limb Modified Ashworth Scale) were measured from 40 adults with chronic (≥ 1 year) SCI. Demographics, pain, sleep quality, and other covariate or confounding factors were measured using self-report questionnaires. Each participant then wore ActiGraph GT9X Link accelerometers on their ankles and wrist continuously for 1-5 days to measure LA from movements during sleep. Regression models with built-in feature selection were used to determine the most relevant LA features and the association to each measure of impairment.

resultsLA features were related to measures of impairment with models explaining 69% and 73% of the variance (R²) in strength and sensation, respectively, and correctly classifying 81.6% (F1-score = 0.814) of the participants into spasticity categories. The most commonly selected LA features included measures of power and frequency (frequency domain), movement direction (correlation between axes), consistency between movements (relation to recent movements), and wavelet energy (signal characteristics). Rolling speed (change in angle of inclination) and movement smoothness (median crossings) were uniquely associated with strength. When LA features were included, an increase of 72% and 222% of the variance was explained for strength and sensation scores, respectively, and there was a 34% increase in spasticity classification accuracy compared to models containing only covariate features such as demographics, sleep quality, and pain.

conclusionLA features have shown evidence of having construct and concurrent validity, thus demonstrating that LA are a clinically-relevant measure related to lower limb strength, sensation, and spasticity after SCI. LA may be useful as a more detailed measure of impairment for applications such as clinical prediction models for ambulation.

Indexed as

Muscle SpasticitySpinal Cord InjuriesAccelerationAdultHumansPainSensationSleepUpper ExtremityFunctional outcomesLower extremityMotor activityMuscle spasticityMuscle strengthPhysiologic monitoringSensationSleepSpinal cord injuries

Identifiers

PMID36329467
PMCPMC9635075

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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.