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. 2025 Sep:380:118181.
doi: 10.1016/j.socscimed.2025.118181. Epub 2025 May 10.

A heterogeneity analysis of health-related quality of life in early adults born very preterm or very low birthweight across the sociodemographic spectrum

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A heterogeneity analysis of health-related quality of life in early adults born very preterm or very low birthweight across the sociodemographic spectrum

Corneliu Bolbocean et al. Soc Sci Med. 2025 Sep.
Free article

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.

Keywords: HRQoL; Heterogeneity of treatment effects; Machine learning; Preterm birth; Quality of life.

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Conflict of interest statement

Declaration of competing interest This work was funded by the European Union's Horizon 2020 research and innovation program (Research on European Children and Adults Born Preterm), under grant agreement 733280. Corneliu Bolbocean is funded by School of Primary Care Research Award and NIHR Applied Research Collaboration for Oxford and the Thames Valley Award. Dieter Wolke is funded by a UKRI Frontier Research grant (EP/X023206/1) guarantee of an ERCAdG award.

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