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Abstract Preterm birth and very low birthweight (VP/VLBW) are associated with poorer health-related quality of life (HRQoL) outcomes extending into adulthood, yet it remains unclear how these effects differ across sociodemographic subgroups. This study aimed to identify heterogeneity in the association of VP/VLBW on HRQoL in early adulthood, specifically examining maternal age, education, and ethnicity. Individual-level data from three longitudinal cohorts within the Research on European Children and Adults Born Preterm Consortium were analysed, including adults born VP (< 32 weeks’ gestation) or VLBW (< 1500g), compared to term-born or normal birthweight controls. HRQoL was assessed using the Health Utilities Index Mark 3 (HUI3) at mean ages of 18–26 years. Bayesian Causal Forest and Shrinkage Bayesian Causal Forest methodologies were employed to estimate conditional average treatment effects. Results indicated significant heterogeneity in the effects of VP/VLBW birth on HRQoL by maternal age and education. Individuals born to mothers aged ≤25 years experienced the largest decrement in HUI3 scores (−0.08; 95 % CI −0.13, −0.02), compared to minimal or no decrements for individuals born to mothers aged ≥26 years. Similarly, lower maternal education was associated with larger decrements (−0.05; 95 % CI −0.09, −0.01), whereas high maternal education showed negligible impact (0.01; 95 % CI −0.04, 0.06). These findings highlight maternal sociodemographic characteristics as critical modifiers of VP/VLBW impacts on adult HRQoL, emphasizing the need for targeted health interventions for disadvantaged groups. Future research is warranted to examine whether modern neonatal care and changes in socioeconomic conditions can mitigate these HRQoL disparities across the life course.

More information Original publication

DOI

https://doi.org/10.1016/j.socscimed.2025.118181

Type

Journal article

Journal

Social Science & Medicine

Publisher

Elsevier B.V

Publication Date

05/23/2025

Volume

380

Addresses

Corneliu Bolbocean is funded by NIHR School for Primary Care Research (SPCR) grant no. 713.

Keywords

Heterogeneity of treatment effects, Machine learning, Preterm birth, HRQoL, Quality of life