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Updated: May 31, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
19:15

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

Infant positioning behavior varies across time and between assessment contexts

Julie M Orlando1, Abram Banoub1, Samantha Namit1

  • 1Department of Physical Therapy and Biomechanics & Movement Science Program, University of Delaware, Newark, DE, USA.

Infant Behavior & Development
|May 29, 2026
PubMed

Insights

Infant positioning changes as babies grow, with less time supine linked to better motor skills. Novel tech accurately tracks infant positions across different settings and over time.

Area of Science:

  • Developmental pediatrics
  • Infant motor development
  • Wearable technology in health

Background:

  • Infant positioning offers unique developmental experiences.
  • Understanding infant positioning changes over time is crucial for development.
  • Current methods for tracking infant position are limited.

Purpose of the Study:

  • To examine changes in infant positioning over the first six months of life.
  • To compare infant positioning across different assessment contexts (play sessions vs. daily life).
  • To investigate the relationship between infant positioning and motor development.

Main Methods:

  • Longitudinal study of 49 infants from 1 to 6 months old.
  • Infant position quantified using computer vision during play and smart garments during daily activities.
  • Data analyzed using linear mixed-effects models and Spearman correlation.

Main Results:

  • Infants spent less time in the supine position and more time upright over time.
  • Reduced time in supine position correlated with more advanced motor development.
  • Infant positioning varied significantly between play sessions and daily life assessments.

Conclusions:

  • Infant positioning behavior evolves significantly during the first six months.
  • Novel technologies, including smart garments and computer vision, enable accurate measurement of infant positioning.
  • The context of measurement influences observed infant positioning patterns, highlighting the need for diverse assessment methods.

Keywords:
AccelerometryComputer visionInfant developmentNaturalistic dataPositionWearable sensing

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