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Mathematical performance in childhood and early adult outcomes after very preterm birth: an individual participant data meta-analysis

Jaekel, J; Anderson, PJ; Bartmann, P; Cheong, JLY; Doyle, LW; Hack, M; Johnson, S; ... Wolke, D; + view all (2021) Mathematical performance in childhood and early adult outcomes after very preterm birth: an individual participant data meta-analysis. Developmental Medicine and Child Neurology 10.1111/dmcn.15132. (In press). Green open access

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Abstract

Aim: To investigate the strength of the independent associations of mathematics performance in children born very preterm (<32wks' gestation or <1500g birthweight) with attending postsecondary education and their current employment status in young adulthood. Method: We harmonized data from six very preterm birth cohorts from five different countries and carried out one-stage individual participant data meta-analyses (n=954, 52% female) using mixed effects logistic regression models. Mathematics scores at 8 to 11 years of age were z-standardized using contemporary cohort-specific controls. Outcomes included any postsecondary education, and employment/education status in young adulthood. All models were adjusted for year of birth, gestational age, sex, maternal education, and IQ in childhood. Results: Higher mathematics performance in childhood was independently associated with having attended any postsecondary education (odds ratio [OR] per SD increase in mathematics z-score: 1.36 [95% confidence interval {CI}: 1.03, 1.79]) but not with current employment/education status (OR 1.14 per SD increase [95% CI: 0.87, 1.48]). Interpretation: Among populations born very preterm, childhood mathematics performance is important for adult educational attainment, but not for employment status.

Type: Article
Title: Mathematical performance in childhood and early adult outcomes after very preterm birth: an individual participant data meta-analysis
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/dmcn.15132
Publisher version: https://doi.org/10.1111/dmcn.15132
Language: English
Additional information: © 2021 The Authors. Developmental Medicine & Child Neurology published by John Wiley & Sons Ltd on behalf of Mac Keith Press. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: Science & Technology, Life Sciences & Biomedicine, Clinical Neurology, Pediatrics, Neurosciences & Neurology, COGNITIVE-ABILITY, GESTATIONAL-AGE, CHILDREN, WEIGHT, BORN, DIFFICULTIES, ACHIEVEMENT, ATTAINMENT, WEALTH, SKILLS
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health > Neonatology
URI: https://discovery.ucl.ac.uk/id/eprint/10141476
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