Pettinger, Katherine Jane orcid.org/0000-0002-4749-0866, BLOWER, SARAH LOUISE orcid.org/0000-0002-9168-9995, Boyle, Elaine M et al. (2 more authors) (2025) Profiles of developmental disorder and associations with gestational age. Archives of Disease in Childhood. pp. 636-644. ISSN: 1468-2044
Abstract
Abstract Objective This study aimed to examine profiles of co-occurrence of developmental disorders and their association with birth before full term. Design Latent class analysis of cohort data with linked health data. Setting Bradford, England. Patients 13 172 children were included in the analysis. Outcome measures Developmental disorder in medical records. Methods Data were censored at each child’s 12th birthday. The latent class analysis identified patterns of developmental disorders. Multinomial logistic regression explored the association with gestational age while adjusting for clinical and socio-factors. Results The majority (12,536) had a low risk of developmental disorders; this group was named ‘typical development’. The remaining children were classified into three groups: ‘educational difficulties’ (347 children); ‘social, emotional, behavioural and communication difficulties’ (189 children) and ‘early developmental impairment, with physical and intellectual disabilities’ (100 children). Compared with ‘typical development’, very preterm birth was associated with an increased likelihood of being in the ‘early developmental impairment, with physical and intellectual disabilities’ group, adjusted relative risk ratio (aRRR): 9.22 (95% CI 4.58 to 18.55). Birth before full term was associated with increased likelihood of being in the ‘educational difficulties’ group; risk was highest <34 weeks (aRRR: 2.64 (95% CI 1.44 to 4.83)) but persisted up to 37–38 weeks: aRRR: 1.41 (95% CI 1.10 to 1.81). There was no association between gestational age and the ‘social, emotional, behavioural and communication difficulties’’ group. Conclusion Four distinct profiles of developmental disorders were identified; gestational age was associated with two of these. Understanding which disorders children are most at risk of and how these co-occur can help provide accurate information to families and contribute to prompt diagnosis. Data availability statement Data may be obtained from a third party and are not publicly available. Data are not available from the authors but can be accessed via Born in Bradford as described online: https://borninbradford.nhs.uk/research/how-to-access-data/ https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. https://doi.org/10.1136/archdischild-2024-327962
Metadata
| Item Type: | Article |
|---|---|
| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © Author(s) (or their employer(s)) 2025. |
| Dates: |
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| Institution: | The University of York |
| Academic Units: | The University of York > Faculty of Sciences (York) > Health Sciences (York) |
| Date Deposited: | 05 Dec 2025 10:50 |
| Last Modified: | 05 Dec 2025 10:50 |
| Published Version: | https://doi.org/10.1136/archdischild-2024-327962 |
| Status: | Published |
| Refereed: | Yes |
| Identification Number: | 10.1136/archdischild-2024-327962 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:235202 |
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Description: Profiles of developmental disorder and associations with gestational age
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