Evidence map›Paper›PMID 39822201›Full record

ReviewArchives of rehabilitation research and clinical translation2024

Psychometrics of Wearable Devices Measuring Physical Activity in Ambulant Children With Gait Abnormalities: A Systematic Review and Meta-analysis.

Huib van Moorsel, Barbara Engels, Jacek Buczny, Jan Willem Gorter, Kelly Arbour-Nicitopoulos, Tim Takken, Raoul H H Engelbert, Manon A T Bloemen

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Archives of rehabilitation research and clinical translation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

8 authors.

Huib van MoorselInstitute for Human Movement Studies, University of Applied Sciences, Utrecht, The Netherlands.
Barbara EngelsResearch Centre Healthy and Sustainable Living, Research group Lifestyle and Health, Utrecht University of Applied Sciences, Utrecht, The Netherlands.
Jacek BucznyFaculty of Behavioral and Movement Sciences, Department of Experimental and Applied Psychology, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Jan Willem GorterDepartment of Rehabilitation, Physical Therapy Science and Sports, University Medical Center Utrecht Brain Center, Utrecht, The Netherlands.
Kelly Arbour-NicitopoulosFaculty of Kinesiology and Physical Education, University of Toronto, Toronto, Ontario, Canada.
Tim TakkenChild Development & Exercise Center, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands.
Raoul H H EngelbertCentre of Expertise Urban Vitality, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, The Netherlands.
Manon A T BloemenResearch Centre Healthy and Sustainable Living, Research group Lifestyle and Health, Utrecht University of Applied Sciences, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate psychometrics of wearable devices measuring physical activity (PA) in ambulant children with gait abnormalities due to neuromuscular conditions. Data Sources: We searched PubMed, Embase, PsycINFO, CINAHL, and SPORTDiscus in March 2023. Study Selection: We included studies if (1) participants were ambulatory children (2-19y) with gait abnormalities, (2) reliability and validity were analyzed, and (3) peer-reviewed studies in the English language and full-text were available. We excluded studies of children with primarily visual conditions, behavioral diagnoses, or primarily cognitive disability. We performed independent screening and inclusion, data extraction, assessment of the data, and grading of results with 2 researchers. Data Extraction: Our report follows Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We assessed methodological quality with Consensus-based Standards for the selection of health measurement instruments. We extracted data on reported reliability, measurement error, and validity. We performed meta-analyses for reliability and validity coefficient values. Data Synthesis: Of 6911 studies, we included 26 with 1064 participants for meta-analysis. Results showed that wearables measuring PA in children with abnormal gait have high to very high reliability (intraclass correlation coefficient [ICC] Conclusions: There was high to very high reliability and moderate to high validity for wearables measuring PA in children with abnormal gait, primarily due to neurological conditions. Clinicians should be aware that several moderating factors can influence an assessment.

Indexed as

AccelerometryGait abnormalityMeta-analysisPhysical activityPsychometric propertiesRehabilitationSystematic review

Identifiers

PMID39822201
PMCPMC11734052

What OpenQuestion holds

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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.