Evidence map›Paper›PMID 41194531›Full record

ArticleDevelopmental psychobiology2025

Advancing Wrist-Worn Accelerometry for Measurement of Infant Motor Behavior.

Catherine E Lang, Jana M Iverson, Jeffery D Konrad, Audrey S Lorence, Izza Choudhry, Marghuretta D Bland, Meghan Campbell, Stormi Pulver White, Dorothy H Balser, Motunrola B Adebogun and 6 more

Abstract read
In one paragraph

Article in Developmental psychobiology, 2025. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

16 authors.

Catherine E LangProgram in Physical Therapy, WashU Medicine, St. Louis, Missouri, USA.ORCID 0000-0002-7120-0136
Jana M IversonDepartment of Physical Therapy, Boston University, Boston, Massachusetts, USA.
Jeffery D KonradProgram in Physical Therapy, WashU Medicine, St. Louis, Missouri, USA.
Audrey S LorenceDepartment of Physical Therapy, Boston University, Boston, Massachusetts, USA.
Izza ChoudhryDepartment of Physical Therapy, Boston University, Boston, Massachusetts, USA.
Marghuretta D BlandProgram in Physical Therapy, WashU Medicine, St. Louis, Missouri, USA.
Meghan CampbellDepartment of Psychiatry, WashU Medicine, St. Louis, Missouri, USA.
Stormi Pulver WhiteDepartment of Pediatrics, Emory School of Medicine, Atlanta, Georgia, USA.
Dorothy H BalserDepartment of Pediatrics, Emory School of Medicine, Atlanta, Georgia, USA.
Motunrola B AdebogunDepartment of Pediatrics, Emory School of Medicine, Atlanta, Georgia, USA.
Nailah IslamMarcus Center for Autism, Children's Healthcare of Atlanta, Atlanta, Georgia, USA.
Moira L PileggiMarcus Center for Autism, Children's Healthcare of Atlanta, Atlanta, Georgia, USA.
Savannah C DavisDepartment of Psychiatry, WashU Medicine, St. Louis, Missouri, USA.
Madeline S DieffenbacherDepartment of Psychiatry, WashU Medicine, St. Louis, Missouri, USA.
Keith R LohseProgram in Physical Therapy, WashU Medicine, St. Louis, Missouri, USA.
Natasha MarrusDepartment of Psychiatry, WashU Medicine, St. Louis, Missouri, USA.

Funding

DOCTORAL TRAINING PROGRAM IN MOVEMENT SCIENCET32HD007434 · NICHD · WASHINGTON UNIVERSITY · PI Michael D Harris, Catherine Lang · 1993 to 2026
$4.2M
Variation in early motor function in autism, cerebellar injury and normal twinsR01MH123723 · NIMH · WASHINGTON UNIVERSITY · PI LANG, CATHERINE, LIMPEROPOULOS, CATHERINE · 2021 to 2025
$3.6M
NICHD NIH HHS T32 HD007434NIH HHS T32HD007434NIMH NIH HHS R01 MH123723
6 · The paper itself

Abstract

Wearable sensor technology, particularly accelerometry, is an emerging tool to measure infant motor behavior. We evaluated (1) differences and relationships between accelerometry-derived variables in structured versus unstructured contexts and (2) the convergent validity of accelerometer-derived variables with coded motor behavior during structured motor tasks and with caregiver reports of infant motor behavior. Typically developing infants (n = 176, 6 months adjusted age) were evaluated via bilateral wrist-worn accelerometers during structured, laboratory toy play tasks and at home for 2 days, unstructured. Eleven accelerometer variables quantifying duration, intensity, and variability of movement were extracted from each context and analyzed with respect to five variables from the video-coded structured toy play task and caregiver report (Ages and Stages Questionnaire motor subscales). Infants and parents tolerated the devices as indicated by a usable data rate equivalent to the questionnaire response rate. Accelerometry values from the structured context were generally larger than those from the unstructured context, except for the variance variables. Values across the contexts were moderately and consistently related. Accelerometry variables were related to video-coded variables but were only minimally related to caregiver reports of fine motor behavior. Upper limb accelerometry is a feasible, valid addition to the infant motor measurement toolbox.

Indexed as

AccelerometryInfant BehaviorMotor ActivityWearable Electronic DevicesFemaleHumansInfantMaleReproducibility of ResultsWristinfantmeasurementmotor behaviormovementupper limbwearable sensors

Identifiers

PMID41194531
PMCPMC12589933

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.