posted on 2025-03-13, 16:21authored byKatherine Jane Pettinger, Sarah Louise Blower, Elaine BoyleElaine Boyle, Catherine Elizabeth Hewitt, Lorna K Fraser
ObjectiveThis study aimed to examine profiles of co-occurrence of developmental disorders and their association with birth before full term.DesignLatent class analysis of cohort data with linked health data.SettingBradford, England.Patients13 172 children were included in the analysis.Outcome measuresDevelopmental disorder in medical records.MethodsData 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.ResultsThe 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.ConclusionFour 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.
History
Author affiliation
College of Life Sciences
Population Health Sciences
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/