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Postural Control Measurements to Predict Future Motor Impairment in Preterm Infants: A Systematic Review

Authors :
Jennifer Bosserman
Sonia Kelkar
Kristen D. LeBlond
Jessica Cassidy
Dana B. McCarty
Source :
Diagnostics, Vol 13, Iss 22, p 3473 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Preterm infants are more likely to demonstrate developmental delays than fullterm infants. Postural measurement tools may be effective in measuring the center of pressure (COP) and asymmetry, as well as predicting future motor impairment. The objective of this systematic review was to evaluate existing evidence regarding use of pressure mats or force plates for measuring COP and asymmetry in preterm infants, to determine how measures differ between preterm and fullterm infants and if these tools appropriately predict future motor impairment. The consulted databases included PubMed, Embase, Scopus, and CINAHL. The quality of the literature and the risk of bias were assessed utilizing the ROB2: revised Cochrane risk-of bias tool. Nine manuscripts met the criteria for review. The postural control tools included were FSA UltraThin seat mat, Conformat Pressure-Sensitive mat, Play and Neuro-Developmental Assessment, and standard force plates. Studies demonstrated that all tools were capable of COP assessment in preterm infants and support the association between the observation of reduced postural complexity prior to the observation of midline head control as an indicator of future motor delay. Postural measurement tools provide quick and objective measures of postural control and asymmetry. Based on the degree of impairment, these tools may provide an alternative to standardized assessments that may be taxing to the preterm infant, inaccessible to therapists, or not sensitive enough to capture motor delays.

Details

Language :
English
ISSN :
20754418
Volume :
13
Issue :
22
Database :
Directory of Open Access Journals
Journal :
Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.7dc2f739b96d421abf4566161d5c1eb0
Document Type :
article
Full Text :
https://doi.org/10.3390/diagnostics13223473