School of Public Health (EHESP), DSET&GS, Rennes CEDEX, France.
Department of Social Epidemiology, Institut Pierre Louis d'Epidémiologie et de Santé Publique (UMRS 1136), Sorbonne Universités, UPMC Univ Paris 06, INSERM, Paris, France.
PLoS One. 2021 Apr 15;16(4):e0247699. doi: 10.1371/journal.pone.0247699. eCollection 2021.
Adverse birth outcomes related to air pollution are well documented; however, few studies have accounted for infant sex. There is also scientific evidence that the neighborhood socioeconomic profile may modify this association even after adjusting for individual socioeconomic characteristics. The objective is to analyze the association between air pollution and birth weight by infant sex and neighborhood socioeconomic index. All birth weights (2008-2011) were geocoded at census block level. Each census block was assigned a socioeconomic deprivation level, as well as daily NO2 and PM10 concentrations. We performed a multilevel model with a multiple statistical test and sensible analysis using the spline function. Our findings suggest the existence of a differential association between air pollution and BW according to both neighborhood socioeconomic level and infant sex. However, due to multiple statistical tests and controlling the false discovery rate (FDR), all significant associations became either not statistically significant or borderline. Our findings reinforce the need for additional studies to investigate the role of the neighborhood socioeconomic which could differentially modify the air pollution effect.
与空气污染有关的不良生育结局已有大量文献记载;然而,很少有研究考虑到婴儿的性别。也有科学证据表明,即使在调整了个体社会经济特征后,邻里社会经济状况也可能改变这种关联。本研究旨在分析按婴儿性别和邻里社会经济指数划分的空气污染与出生体重之间的关系。所有出生体重(2008-2011 年)均在普查区层面进行地理编码。为每个普查区分配了一个社会经济剥夺程度,以及每日的二氧化氮和 PM10 浓度。我们使用样条函数进行了多层次模型和多重统计检验的敏感性分析。我们的研究结果表明,根据邻里社会经济水平和婴儿性别,空气污染与 BW 之间存在差异关联。然而,由于进行了多次统计检验并控制了错误发现率(FDR),所有具有统计学意义的关联要么变得没有统计学意义,要么处于边缘状态。我们的研究结果强调需要进行更多的研究,以调查邻里社会经济因素的作用,因为它可能会对空气污染的影响产生不同的影响。