Literature DB >> 33478617

Individual Attention Patterns in Children Born Very Preterm and Full Term at 7 and 13 Years of Age.

Lilly Bogičević1, Leona Pascoe2,3, Thi-Nhu-Ngoc Nguyen2,3, Alice C Burnett3,4,5,6, Marjolein Verhoeven1, Deanne K Thompson3,6,7,8, Jeanie L Y Cheong3,5,9, Terrie E Inder10, Anneloes L van Baar1, Lex W Doyle3,5,6,9, Peter J Anderson2,3.   

Abstract

OBJECTIVE: To identify attention profiles at 7 and 13 years, and transitions in attention profiles over time in children born very preterm (VP; <30 weeks' gestation) and full term (FT), and examine predictors of attention profiles and transitions.
METHODS: Participants were 167 VP and 60 FT children, evaluated on profiles across five attention domains (selective, shifting and divided attention, processing speed, and behavioral attention) at 7 and 13 years using latent profile analyses. Transitions in profiles were assessed with contingency tables. For VP children, biological and social risk factors were tested as predictors with a multinomial logistic regression.
RESULTS: At 7 and 13 years, three distinct profiles of attentional functioning were identified. VP children were 2-3 times more likely to show poorer attention profiles compared with FT children. Transition patterns between 7 and 13 years were stable average, stable low, improving, and declining attention. VP children were two times less likely to have a stable average attention pattern and three times more likely to have stable low or improving attention patterns compared with FT children. Groups did not differ in declining attention patterns. For VP children, brain abnormalities on neonatal MRI and greater social risk at 7 years predicted stable low or changing attention patterns over time.
CONCLUSIONS: VP children show greater variability in attention profiles and transition patterns than FT children, with almost half of the VP children showing adverse attention patterns over time. Early brain pathology and social environment are markers for attentional functioning.

Entities:  

Keywords:  Latent profile analysis; Longitudinal; Neurodevelopment; Prematurity; Risk factors; Trajectories

Mesh:

Year:  2021        PMID: 33478617     DOI: 10.1017/S1355617720001411

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   2.892


  2 in total

1.  Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age.

Authors:  Ralica Dimitrova; Maximilian Pietsch; Judit Ciarrusta; Sean P Fitzgibbon; Logan Z J Williams; Daan Christiaens; Lucilio Cordero-Grande; Dafnis Batalle; Antonios Makropoulos; Andreas Schuh; Anthony N Price; Jana Hutter; Rui Pag Teixeira; Emer Hughes; Andrew Chew; Shona Falconer; Olivia Carney; Alexia Egloff; J-Donald Tournier; Grainne McAlonan; Mary A Rutherford; Serena J Counsell; Emma C Robinson; Joseph V Hajnal; Daniel Rueckert; A David Edwards; Jonathan O'Muircheartaigh
Journal:  Neuroimage       Date:  2021-08-20       Impact factor: 6.556

2.  Emotional and attention-deficit/hyperactivity disorder symptoms of preterm vs. full-term children during COVID-19 pandemic restrictions.

Authors:  Marion Bailhache; Maeva Monnier; Flore Moulin; Xavier Thierry; Stéphanie Vandentorren; Sylvana M Côté; Bruno Falissard; Thierry Simeon; Bertrand Geay; Laetitia Marchand; Marie N Dufourg; Marie A Charles; Pierre Y Ancel; Maria Melchior; Alexandra Rouquette; Cédric Galera
Journal:  Pediatr Res       Date:  2022-03-30       Impact factor: 3.756

  2 in total

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