Evidence map›Paper›PMID 36921012›Full record

ArticleInfancy : the official journal of the International Society on Infant Studies2023

Barcoding, linear and nonlinear analysis of full-day leg movements in infants with typical development and infants at risk of developmental disabilities: Cross-sectional study.

Weiyang Deng, Vivien Marmelat, Douglas L Vanderbilt, Federico Gennaro, Beth A Smith

Abstract read
In one paragraph

Article in Infancy : the official journal of the International Society on Infant Studies, 2023. 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

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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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Weiyang DengDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-7821-1292
Vivien MarmelatDepartment of Biomechanics, University of Nebraska Omaha, Omaha, Nebraska, USA.
Douglas L VanderbiltDivision of Developmental-Behavioral Pediatrics, Children's Hospital Los Angeles, Los Angeles, California, USA.
Federico GennaroDivision of Developmental-Behavioral Pediatrics, Children's Hospital Los Angeles, Los Angeles, California, USA.ORCID 0000-0003-2203-2858
Beth A SmithDivision of Developmental-Behavioral Pediatrics, Children's Hospital Los Angeles, Los Angeles, California, USA.

Funding

Rehabilitation Research Career Development ProgramK12HD055929 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BROWN, DAVID A · 2007 to 2021
$11.7M
NICHD NIH HHS K12 HD055929
6 · The paper itself

Abstract

Traditional methods do not capture the multidimensional domains and dynamic nature of infant behavioral patterns. We aim to compare full-day, in-home leg movement data between infants with typical development (TD) and infants at risk of developmental disabilities (AR) using barcoding and nonlinear analysis. Eleven infants with TD (2-10 months) and nine infants AR (adjusted age: 2-14 months) wore a sensor on each ankle for 7 days. We calculated the standard deviation for linear variability and sample entropy (SampEn) of leg acceleration and angular velocity for nonlinear variability. Movements were also categorized into 16 barcoding states, and we calculated the SampEn and proportions of the barcoding. All variables were compared between the two groups using independent-samples t-test or Mann-Whitney U test. The AR group had larger linear variability compared to the TD group. SampEn was lower in the AR group compared to TD group for both acceleration and angular velocity. Two barcoding states' proportions were significantly different between the two groups. The results showed that nonlinear analysis and barcoding could be used to identify the difference of dynamic multidimensional movement patterns between infants AR and infants with TD. This information may help early diagnosis of developmental disabilities in the future.

Indexed as

Developmental DisabilitiesLegAccelerationChildCross-Sectional StudiesHumansInfantMovement

Identifiers

PMID36921012
PMCPMC10257934

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.