Evidence map›Paper›PMID 42147152›Full record

ArticleResearch square2026

Gait variability development in autistic individuals across childhood and adulthood.

Robin L Shafer, Jingying Wang, Hang Qu, Joelle P Simpson, Matthew Terza, Desirae J Shirley, Walker S McKinney, Stormi Pulver, Ann-Marie Orlando, Regilda A Romero and 3 more

Abstract readPreprint
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Robin L ShaferUniversity of Kansas.
Jingying WangUniversity of Florida.
Hang QuUniversity of Florida.
Joelle P SimpsonUniversity of Florida.
Matthew TerzaUniversity of Florida.
Desirae J ShirleyUniversity of Florida.
Walker S McKinneyUniversity of Kansas.
Stormi PulverEmory University.
Ann-Marie OrlandoUniversity of Florida.
Regilda A RomeroUniversity of Florida.
Bikram KarmakarUniversity of Wisconsin-Madison.
Matthew W MosconiUniversity of Kansas.
Zheng WangUniversity of Florida.

Funding

Using PCORnet to Expand the DS-CONNECT Cohort Through Healthcare System Recruitment, Incorporating Electronic Health Records, and Assessing Self-DeterminationU54HD090216 · NICHD · UNIVERSITY OF KANSAS LAWRENCE · PI COLOMBO, JOHN A. · 2016 to 2020
$6.2M
Motor abnormalities and functional brain mechanisms in autism spectrum disorderR01MH112734 · NIMH · UNIVERSITY OF KANSAS LAWRENCE · PI MOSCONI, MATTHEW W · 2017 to 2021
$2.3M
Quantification of the neurocognitive, brain, and blood markers of dementia in middle-aged autistic adultsR01AG086493 · NIA · UNIVERSITY OF FLORIDA · PI Zheng Wang · 2024 to 2026
$2.0M
Cerebellar and Basal Ganglia Markers Underlie Neuromotor Impairments in Adults with Autism Spectrum Disorder (ASD)R01NS121120 · NINDS · UNIVERSITY OF FLORIDA · PI WANG, ZHENG · 2021 to 2025
$1.9M
Motor Control and Cerebellar Maturation in AutismK23MH092696 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI MOSCONI, MATTHEW W · 2010 to 2014
$783k
Multi-modal sensory feedback mechanisms of fine and gross motor control in autism spectrum disordersK01MH137518 · NIMH · UNIVERSITY OF KANSAS LAWRENCE · PI Robin L Shafer · 2024 to 2026
$447k
Cerebellar and basal ganglia contributions to neuromotor decline in adults with autism spectrum disorder (ASD)R21AG065621 · NIA · UNIVERSITY OF FLORIDA · PI WANG, ZHENG · 2020 to 2020
$229k
NIA NIH HHS R01 AG086493NIA NIH HHS R21 AG065621NICHD NIH HHS U54 HD090216NIMH NIH HHS K01 MH137518NIMH NIH HHS K23 MH092696NIMH NIH HHS R01 MH112734NINDS NIH HHS R01 NS121120
6 · The paper itself

Abstract

Atypical sensorimotor behaviors are prevalent in autism spectrum disorder (ASD), often emerging in infancy and persisting into early adulthood. Prior focus on qualitative metrics and developmentally specific motor skills has limited understanding of sensorimotor differences in ASD across the lifespan. The present study quantified gait kinematics in ASD across a wide age range, including analysis of 60 autistic individuals (ages 4-35 years) and 53 age-, sex-, and performance IQ-matched neurotypical (NT) controls. Autistic individuals differed from NT controls on seven gait variables reflecting within-subject variability of gait kinematics. These seven gait variability metrics were integrated into a canonical correlation analysis (CCA) with select demographic features (group, age, sex, IQ) to derive a composite gait variability score that accounts for the multicollinearity of gait variability and demographic metrics. The composite score revealed increased gait variability in autistic individuals relative to NT controls. Gait variability was negatively associated with age across the sample. Age-by-group interactions suggested that gait variability is more severely elevated in autistic individuals during adolescence and adulthood relative to childhood. Increased gait variability also was associated with more severe clinically rated ritualistic behaviors in autistic individuals. This study leverages a novel approach to define a multidimensional component score of gait variability in ASD from childhood to adulthood. Results indicate that gait variability is elevated in ASD, and that the severity of variability differences increases with age during adolescence and into adulthood. These findings suggest that autistic individuals show an attenuated development of sensorimotor feedback and motor planning processes that are involved in maintaining accuracy and stability of movements.

Indexed as

autism spectrum disordercanonical correlation analysiscomposite scoregait variabilitysensorimotor developmentUnconstrained walking

Identifiers

PMID42147152
PMCPMC13174798

What OpenQuestion holds

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LicenceCC BY
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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.