International Journal of Population Data Science (Sep 2023)

Prenatal maternal infections and early childhood development outcomes: An analysis of Scottish linked administrative health data

  • Iain Hardie,
  • Aja Murray,
  • Josiah King,
  • Michael Lombardo,
  • Philip Wilson,
  • Louise Marryat,
  • Lucy Thompson,
  • Helen Minnis,
  • Bonnie Auyeung

DOI
https://doi.org/10.23889/ijpds.v8i2.2222
Journal volume & issue
Vol. 8, no. 2

Abstract

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Objectives Previous research suggests that prenatal maternal infections may be linked to later childhood neurodevelopmental outcomes and socioemotional difficulties. We exploited a large linked administrative health dataset to examine relationships between prenatal infections and early childhood development outcomes in Greater Glasgow & Clyde (GGC), Scotland. Methods We used population data from birth records, hospital records, prescriptions and routine child health reviews for 55,856 children born in GGC, 2011-2015, and their mothers. Logistic regression models were used to examine the relationship between prenatal infections, measured as both hospital-diagnosed prenatal infections and receipt of infection-related prescription(s) during pregnancy, and having adverse childhood development outcomes identified by health visitors during 6-8 weeks/27-30 months routine child health reviews. Secondary analysis examined whether results varied by (a) specific development outcome types (i.e. gross-motor-skills, hearing-communication, vision-social-awareness, personal-social, emotional-behavioural-attention, and speech-language-communication development), and (b) the trimester(s) in which infections occurred. Results After adjusting for confounders/covariates, hospital-diagnosed infections were associated with increased odds of having at least one adverse development outcome identified during child health reviews (OR: 1.30; 95% CI: 1.19-1.42). This relationship was consistent across almost all development outcome types, and appeared to be specifically linked to infections occurring in trimesters 2 (OR: 1.34; 95% CI: 1.07-1.67) and 3 (OR: 1.33; 95% CI: 1.21-1.47), i.e. the trimesters in which fetal brain myelination occurs. Infection-related prescriptions were not associated with a significant increase in odds of having at least one adverse development outcome after adjusting for confounders/covariates (OR: 1.03; 95% CI: 0.98-1.08), but were associated with slightly increased odds of adverse outcomes specifically related to personal-social (OR: 1.12; 95% CI: 1.03-1.22) and emotional-behavioural-attention (OR: 1.15; 95% CI: 1.08-1.22) development. Conclusion Prenatal infections, particularly those which are hospital-diagnosed and therefore likely to be more severe, are associated with early childhood development outcomes. Our study highlights the usefulness of Scotland’s administrative health data in measuring childhood development. Future research will examine the impact of COVID-19 prenatal infections and lockdown measures.