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Psychiatric disorders in individuals born very preterm / very low-birth weight: An individual participant data (IPD) meta-analysis

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posted on 18.11.2022, 15:36 authored by Peter J Anderson, Debora Marques de Miranda, Maicon Rodrigues Albuquerque, Marit Saebo Indredavik, Kari Anne Indredavik Evenson, Ryan van Lieshout, Saroj Saigal, H Gerry Tylor, Katri Raikkonen, Eero Kajante, Neil Marlow, Samantha Johnson, Lianne Woodward, Nicola Austin, Chiara Nosarti, Julia Jaekel, Dieter Wolke, Jeanie LY Cheong, Alice Burnett, Karli Treyvaud, Katherine J Lee, Lex W Doyle

Background

Data on psychiatric disorders in survivors born very preterm (VP; <32 weeks) or very low birthweight (VLBW; <1500 g) are sparse. We compared rates of psychiatric diagnoses between VP/VLBW and term-born, normal birthweight (term/NBW) control participants.


Methods

This individual participant data (IPD) meta-analysis pooled data from eligible groups in the Adults born Preterm International Collaboration (APIC). Inclusion criteria included: 1) VP/VLBW group (birth weight <1500 g and/or gestational age <32 weeks), 2) normal birth weight/term-born control group (birth weight >2499 g and/or gestational age ≥37 weeks), and 3) structured measure of psychiatric diagnoses using DSM or ICD criteria. Diagnoses of interest were Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), Anxiety Disorder, Mood Disorder, Disruptive Behaviour Disorder (DBD), Eating Disorder, and Psychotic Disorder. A systematic search for eligible studies was conducted (PROSPERO Registration Number 47555).


Findings

Data were obtained from 10 studies (1385 VP/VLBW participants, 1780 controls), using a range of instruments and approaches to assigning diagnoses. Those born VP/VLBW had ten times higher odds of meeting criteria for ASD (odds ratio [OR] 10·6, 95% confidence interval [CI] 2·50, 44·7), five times higher odds of meeting criteria for ADHD (OR 5·42, 95% CI 3·10, 9·46), twice the odds of meeting criteria for Anxiety Disorder (OR 1·91, 95% CI 1·36, 2·69), and 1·5 times the odds of meeting criteria for Mood Disorder (OR 1·51, 95% CI 1·08, 2·12) than controls. This pattern of findings was consistent within age (<18 years vs. ≥18 years) and sex subgroups.


Interpretation

Our data suggests that individuals born VP/VLBW might have higher odds of meeting criteria for certain psychiatric disorders through childhood and into adulthood than term/NBW controls. Further research is needed to corroborate our results and identify factors associated with psychiatric disorders in individuals born VP/VLBW.

Funding

ustralia's National Health & Medical Research Council; CAPES (Coordenação de Aperfeiçoamento de Pessoal deNível Superior) - International Cooperation General Program; Canadian Institutes of Health Research Team Grant; National Council for Scientific and Technological Development (CNPq); Academy of Finland; Sigrid Juselius Foundation; Signe and Ane Gyllenberg Foundation; European Union's Horizon 2020 research and innovation programme: Project RECAP-Preterm; European Commission Dynamics of Inequality Across the Life-course: structures and processes (DIAL); Neurologic Foundation of New Zealand; MRC programme grant; Health Research Council of New Zealand; National Institutes of Health, USA; The Research Council of Norway; Joint Research Committee between St. Olavs Hospital and Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU); Liaison Committee between Central Norway Regional Health Authority and NTNU.

History

Citation

Peter J Anderson, Debora Marques de Miranda, Maicon Rodrigues Albuquerque, Marit Sæbø Indredavik, Kari Anne I. Evensen, Ryan Van Lieshout, Saroj Saigal, H. Gerry Taylor, Katri Raikkonen, Eero Kajantie, Neil Marlow, Samantha Johnson, Lianne J. Woodward, Nicola Austin, Chiara Nosarti, Julia Jaekel, Dieter Wolke, Jeanie LY Cheong, Alice Burnett, Karli Treyvaud, Katherine J Lee, Lex W Doyle, Psychiatric disorders in individuals born very preterm / very low-birth weight: An individual participant data (IPD) meta-analysis, eClinicalMedicine, 42, 2021, 101216. https://doi.org/10.1016/j.eclinm.2021.101216.

Author affiliation

Department of Health Sciences

Version

VoR (Version of Record)

Published in

EClinicalMedicine

Volume

42

Pagination

101216

Publisher

Elsevier

issn

2589-5370

Acceptance date

11/11/2021

Copyright date

2021

Available date

18/11/2022

Language

en

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