Predicting neurodevelopment in very preterm infants using the Test of Infant Motor Performance.

Saved in:
Bibliographic Details
Title: Predicting neurodevelopment in very preterm infants using the Test of Infant Motor Performance.
Authors: Williamson AE; School of Allied Health, Australian Catholic University, Brisbane, Australia., Boyd RN; Queensland Cerebral Palsy and Rehabilitation Research Centre, Child Health Research Centre, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia., Ware RS; Biostatistics Unit, Griffith Health, Griffith University, Brisbane, Australia., Chatfield MD; Queensland Cerebral Palsy and Rehabilitation Research Centre, Child Health Research Centre, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia., Hough JL; School of Allied Health, Australian Catholic University, Brisbane, Australia; Child Health Research Centre, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia; Physiotherapy Department, Mater Hospital, Brisbane, Australia., Colditz PB; University of Queensland Centre for Clinical Research, The University of Queensland, Brisbane, Australia; Perinatal Research Centre, Royal Brisbane and Women's Hospital, Brisbane, Australia., George JM; Child Health Research Centre, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia; Physiotherapy Department, Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, Brisbane, Australia. Electronic address: j.george2@uq.edu.au.
Source: Early human development [Early Hum Dev] 2025 Jul; Vol. 206, pp. 106271. Date of Electronic Publication: 2025 May 02.
Publication Type: Journal Article; Observational Study
Journal Info: Publisher: Elsevier Country of Publication: Ireland NLM ID: 7708381 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-6232 (Electronic) Linking ISSN: 03783782 NLM ISO Abbreviation: Early Hum Dev Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-6232
DOI:10.1016/j.earlhumdev.2025.106271