McHale Philip, Schlüter Daniela K, Abbasizanjani Hoda, Akbari Ashley, Barr Ben, Taylor-Robinson David
Department of Public Health, Policy and Systems, Institute of Population Health, University of Liverpool, Liverpool, UK.
Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, UK.
Acta Obstet Gynecol Scand. 2025 Jun;104(6):1081-1091. doi: 10.1111/aogs.15101. Epub 2025 Apr 16.
Consistent socioeconomic inequalities in preterm birth prevalence are seen internationally. Understanding the pathways to inequalities in preterm birth and the mediators that contribute to these inequalities is essential to inform policies and interventions to reduce health inequalities across the life course.
We conducted a causal mediation analysis using routinely collected, anonymised population-scale, individual-level linked data within the SAIL Databank on all singleton live births in Wales between 1 January, 2000 and 30 September, 2019. Our outcome was preterm birth, and exposure was area-based deprivation. Mediators were smoking during pregnancy, maternal mental health, hospitalisation due to maternal physical health and obstetric conditions. We calculated inequalities in preterm birth (dichotomised as before or after 37 weeks) and estimated two measures of mediation: proportion eliminated, the percentage of the effect of deprivation on preterm birth eliminated by removing the mediators, through the Controlled Direct Effects; and proportion mediated, the percentage of the inequality removed by equalising the distribution of the mediators across socioeconomic strata. Multiple multivariate imputations by chained equations were used to deal with missing data.
The final sample included 609 610 live births with 6.1% preterm. Socioeconomic gradients were seen in preterm birth and exposure to mediators, with a higher occurrence in mothers residing in the most compared to the least deprived quintiles. Compared with the least deprived quintile, the odds ratio for preterm births in the most deprived quintile was 1.26 (95% confidence interval 1.22-1.31). The proportion eliminated by the removal of all mediators at the same time was 21%. The proportion mediated by maternal smoking during pregnancy was 26%, and less than 10% for other mediators.
Smoking during pregnancy is a significant mediator of preterm birth inequalities. Maternal mental and physical health during pregnancy and obstetric conditions also lie on the pathway from socioeconomic status to preterm birth but mediate the relationship to a lesser extent. Significant socioeconomic inequalities remained after the effect of mediators was removed. These findings suggest that there is a need to reduce inequalities in smoking during pregnancy and direct action on socioeconomic status during pregnancy.
早产患病率方面持续存在的社会经济不平等在国际上都有体现。了解早产不平等的途径以及导致这些不平等的中介因素对于制定政策和干预措施以减少一生中的健康不平等至关重要。
我们使用SAIL数据库中常规收集的、匿名的、人口规模的个体层面关联数据,对2000年1月1日至2019年9月30日期间威尔士所有单胎活产进行了因果中介分析。我们的结局是早产,暴露因素是基于区域的贫困程度。中介因素包括孕期吸烟、孕产妇心理健康、因孕产妇身体健康和产科疾病住院。我们计算了早产方面的不平等(分为37周之前或之后),并估计了两种中介指标:消除比例,即通过控制直接效应去除中介因素后,贫困对早产影响中被消除的百分比;中介比例,即通过使中介因素在社会经济阶层间的分布均衡来消除的不平等百分比。采用链式方程进行多次多变量插补来处理缺失数据。
最终样本包括609610例活产,早产率为6.1%。早产和中介因素暴露存在社会经济梯度,与最不贫困五分位数的母亲相比,居住在最贫困五分位数的母亲中这些情况的发生率更高。与最不贫困五分位数相比,最贫困五分位数早产的比值比为1.26(95%置信区间1.22 - 1.31)。同时去除所有中介因素后消除的比例为21%。孕期吸烟介导的比例为26%,其他中介因素介导的比例小于10%。
孕期吸烟是早产不平等的一个重要中介因素。孕期孕产妇的心理和身体健康以及产科疾病也处于从社会经济地位到早产的途径中,但介导关系的程度较小。去除中介因素的影响后,仍存在显著的社会经济不平等。这些发现表明,有必要减少孕期吸烟的不平等,并在孕期针对社会经济地位采取直接行动。