Am J Epidemiol. 2020 Aug 1;189(8):820-831. doi: 10.1093/aje/kwaa046.
Firearm violence may indirectly affect health among pregnant women living in neighborhoods where it is endemic. We used birth, death, emergency department, and hospitalization data from California from 2007-2011 to estimate the association between living in a neighborhood with high firearm violence and preterm delivery, and assessed whether there was mediation by diagnoses of pregnancy complications and health behaviors during pregnancy. We used an ensemble machine learning algorithm to predict the propensity for neighborhoods to be classified as having a high level of firearm violence. Risk differences for the total effect and stochastic direct and indirect effects were estimated using targeted maximum likelihood. Residence in high-violence neighborhoods was associated with higher prevalence of preterm birth (risk difference (RD) = 0.46, 95% confidence interval (CI): 0.13, 0.80), infections (RD = 1.34, 95% CI: -0.17, 2.86), asthma (RD = 0.76, 95% CI: 0.03, 1.48), and substance use (RD = 0.74, 95% CI: 0.00, 1.47). The largest indirect effects for the association between violence and preterm birth were observed for infection (stochastic indirect effect = 0.04, 95% CI: 0.00, 0.08) and substance use (stochastic indirect effect = 0.04, 95% CI: 0.01, 0.06). Firearm violence was associated with risk of preterm delivery, and this association was partially mediated by infection and substance use.
枪支暴力可能会间接影响居住在枪支暴力多发地区的孕妇的健康。我们使用了 2007 年至 2011 年期间加利福尼亚州的出生、死亡、急诊和住院数据,以评估居住在枪支暴力多发社区与早产之间的关联,并评估妊娠并发症和孕期健康行为的诊断是否存在中介作用。我们使用集成机器学习算法来预测社区被归类为枪支暴力高发地区的倾向。使用靶向最大似然法估计总效应、随机直接和间接效应的风险差异。居住在高暴力社区与早产的高发生率相关(风险差异(RD)= 0.46,95%置信区间(CI):0.13,0.80)、感染(RD = 1.34,95% CI:-0.17,2.86)、哮喘(RD = 0.76,95% CI:0.03,1.48)和物质使用(RD = 0.74,95% CI:0.00,1.47)。在暴力与早产之间的关联中,感染(随机间接效应= 0.04,95%CI:0.00,0.08)和物质使用(随机间接效应= 0.04,95%CI:0.01,0.06)的间接效应最大。枪支暴力与早产风险相关,这种关联部分通过感染和物质使用来介导。