Wider determinants of adverse birth outcomes in Birmingham and Solihull

Datos Bibliográficos

ID22091089
AutoresDavid A Ellis (0000-0001-6172-3323), David Ellis (0000-0002-8311-0541, Birmingham City Council, autor de correspondencia), Chung Him Au-Yeung (Birmingham City Council), Alexander Dallaway (0000-0002-2116-6654, University of Wolverhampton), Ranjana Basra (Birmingham Women’s and Children’s NHS Foundation Trust), Sylvia Owusu-Nepaul (Birmingham Women’s and Children’s NHS Foundation Trust), Jenny Riley (Birmingham City Council), Rebecca Howell-Jones (0000-0002-9553-0367, Birmingham City Council), Justin Varney (0000-0002-8928-3291, Birmingham City Council), Marion Gibbon (0000-0002-0431-9970, Birmingham City Council)
Año2025
Volumen13
Páginas1544903-1544903
Fecha de publicación2025-04-15
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Public Health (JOURNAL)
Identificadores de la revistaISSN: 2296-2565 • E-ISSN: 2296-2565
EditorialFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1544903
PMID40302778
OpenAlexW4409466268
IdiomaEN
Referencias citadas43

Introduction Birmingham and Solihull face significant challenges related to adverse birth outcomes. This study aimed to identify demographic, socioeconomic, and lifestyle factors associated with an increased risk of low birth weight, premature birth, stillbirth, and neonatal death in Birmingham and Solihull. Methods Births ( n = 41, 231) between October 2020 and April 2023 were analysed. The attributable fraction of premature births and low birth weight (LBW) attributable to socioeconomic and ethnic inequality was calculated. Multiple logistic regression analyses identified groups that had increased odds of premature birth ( n = 3, 312), LBW ( n = 1, 197), stillbirth ( n = 173), and neonatal death ( n = 208). Results Attributable fraction analysis estimated that 191 premature births and 211 LBWs each year would not have occurred if all women had the same rates as White women living in the least deprived areas. Ethnicity, socioeconomic deprivation, medical care, lifestyle, and vulnerability status were found to be significant risk factors for adverse birth outcomes. Asian and Black women had 1.4–2.7 times the odds of LBW compared to White women ( p < 0.01). Black women had increased odds of stillbirth (OR : 1.75, p = 0.017) and Asian women had increased odds of neonatal death (OR : 1.90, p < 0.001). The odds of LBW (OR : 3.3), premature birth (OR : 27.2), and neonatal death (OR : 5.6) were significantly increased for twins ( p < 0.001). For women smoking at delivery, the odds of LBW (OR : 2.3), premature birth (OR : 1.5), and stillbirth (OR : 1.6) were significantly increased ( p < 0.05). Deprivation, and/or financial and housing issues also increased the odds of adverse birth outcomes ( p < 0.05). Discussion These findings underscore the importance of targeted interventions and support for at-risk populations to reduce adverse birth outcomes in vulnerable communities

Birth weight · Environmental health · Gestational age · Live birth · Logistic regression · Low birth weight · Obstetrics · Odds · Odds ratio · Population · Pregnancy · Premature birth · Socioeconomic status · Assisted Reproductive Technology and Twin Pregnancy · Demography · Health disparities and outcomes · Maternal and Perinatal Health Interventions · Medicine · Internal Medicine · Pediatrics