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细颗粒物、其成分与自发性早产。

Fine Particulate Matter, Its Constituents, and Spontaneous Preterm Birth.

机构信息

Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine.

Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California.

出版信息

JAMA Netw Open. 2024 Nov 4;7(11):e2444593. doi: 10.1001/jamanetworkopen.2024.44593.

Abstract

IMPORTANCE

The associations of exposure to fine particulate matter (PM2.5) and its constituents with spontaneous preterm birth (sPTB) remain understudied. Identifying subpopulations at increased risk characterized by socioeconomic status and other environmental factors is critical for targeted interventions.

OBJECTIVE

To examine associations of PM2.5 and its constituents with sPTB.

DESIGN, SETTING, AND PARTICIPANTS: This population-based retrospective cohort study was conducted from 2008 to 2018 within a large integrated health care system, Kaiser Permanente Southern California. Singleton live births with recorded residential information of pregnant individuals during pregnancy were included. Data were analyzed from December 2023 to March 2024.

EXPOSURES

Daily total PM2.5 concentrations and monthly data on 5 PM2.5 constituents (sulfate, nitrate, ammonium, organic matter, and black carbon) in California were assessed, and mean exposures to these pollutants during pregnancy and by trimester were calculated. Exposures to total green space, trees, low-lying vegetation, and grass were estimated using street view images. Wildfire-related exposure was measured by the mean concentration of wildfire-specific PM2.5 during pregnancy. Additionally, the mean exposure to daily maximum temperature during pregnancy was calculated.

MAIN OUTCOMES AND MEASURES

The primary outcome was sPTB identified through a natural language processing algorithm. Discrete-time survival models were used to estimate associations of total PM2.5 concentration and its 5 constituents with sPTB. Interaction terms were used to examine the effect modification by race and ethnicity, educational attainment, household income, and exposures to green space, wildfire smoke, and temperature.

RESULTS

Among 409 037 births (mean [SD] age of mothers at delivery, 30.3 [5.8] years), there were positive associations of PM2.5, black carbon, nitrate, and sulfate with sPTB. Adjusted odds ratios (aORs) per IQR increase were 1.15 (95% CI, 1.12-1.18; P < .001) for PM2.5 (IQR, 2.76 μg/m3), 1.15 (95% CI, 1.11-1.20; P < .001) for black carbon (IQR, 1.05 μg/m3), 1.09 (95% CI, 1.06-1.13; P < .001) for nitrate (IQR, 0.93 μg/m3), and 1.06 (95% CI, 1.03-1.09; P < .001) for sulfate (IQR, 0.40 μg/m3) over the entire pregnancy. The second trimester was the most susceptible window; for example, aORs for total PM2.5 concentration were 1.07 (95% CI, 1.05-1.09; P < .001) in the first, 1.10 (95% CI, 1.08-1.12; P < .001) in the second, and 1.09 (95% CI, 1.07-1.11; P < .001) in the third trimester. Significantly higher aORs were observed among individuals with lower educational attainment (eg, less than college: aOR, 1.16; 95% CI, 1.12-1.21 vs college [≥4 years]: aOR, 1.10; 95% CI, 1.06-1.14; P = .03) or income (<50th percentile: aOR, 1.17; 95% CI, 1.14-1.21 vs ≥50th percentile: aOR, 1.12; 95% CI, 1.09-1.16; P = .02) or who were exposed to limited green space (<50th percentile: aOR, 1.19; 95% CI, 1.15-1.23 vs ≥50th percentile: aOR, 1.12; 95% CI, 1.09-1.15; P = .003), more wildfire smoke (≥50th percentile: aOR, 1.19; 95% CI, 1.16-1.23 vs <50th percentile: aOR, 1.13; 95% CI, 1.09-1.16; P = .009), or extreme heat (aOR, 1.51; 95% CI, 1.42-1.59 vs mild temperature: aOR, 1.11; 95% CI, 1.09-1.14; P < .001).

CONCLUSIONS AND RELEVANCE

In this study, exposures to PM2.5 and specific PM2.5 constituents during pregnancy were associated with increased odds of sPTB. Socioeconomic status and other environmental exposures modified this association.

摘要

重要性

细颗粒物(PM2.5)及其成分与自发性早产(sPTB)之间的关联仍研究不足。确定以社会经济地位和其他环境因素为特征的处于较高风险的亚人群对于有针对性的干预至关重要。

目的

研究 PM2.5 及其成分与 sPTB 的关联。

设计、地点和参与者:这是一项基于人群的回顾性队列研究,于 2008 年至 2018 年在一个大型综合医疗保健系统 Kaiser Permanente Southern California 进行。纳入了记录孕妇怀孕期间居住地信息的单胎活产。数据分析于 2023 年 12 月至 2024 年 3 月进行。

暴露情况

评估了加利福尼亚州的每日总 PM2.5 浓度和每月 5 种 PM2.5 成分(硫酸盐、硝酸盐、铵、有机物和黑碳)的数据,并计算了怀孕期间和每个孕期的这些污染物的平均暴露量。使用街景图像估计总绿地、树木、低矮植被和草地的暴露量。通过怀孕期间特定 PM2.5 的平均浓度来衡量野火相关暴露情况。此外,还计算了怀孕期间每日最高温度的平均暴露量。

主要结果和测量指标

主要结局是通过自然语言处理算法识别的 sPTB。使用离散时间生存模型估计总 PM2.5 浓度及其 5 种成分与 sPTB 的关联。使用交互项来检验种族和族裔、教育程度、家庭收入以及对绿地、野火烟雾和温度的暴露情况的效应修饰作用。

结果

在 409037 例分娩中(母亲分娩时的平均[标准差]年龄为 30.3[5.8]岁),PM2.5、黑碳、硝酸盐和硫酸盐与 sPTB 呈正相关。调整后的比值比(aOR)每个 IQR 增加为 1.15(95%置信区间,1.12-1.18;P<0.001),PM2.5(IQR,2.76μg/m3),黑碳(IQR,1.05μg/m3),硝酸盐(IQR,0.93μg/m3)和硫酸盐(IQR,0.40μg/m3)。在整个怀孕期间,IQR 增加时,PM2.5 的 aOR 为 1.15(95%置信区间,1.11-1.20;P<0.001),硫酸盐为 1.06(95%置信区间,1.03-1.09;P<0.001)。第二个孕期是最敏感的窗口;例如,总 PM2.5 浓度的 aOR 在第一个孕期为 1.07(95%置信区间,1.05-1.09;P<0.001),在第二个孕期为 1.10(95%置信区间,1.08-1.12;P<0.001),在第三个孕期为 1.09(95%置信区间,1.07-1.11;P<0.001)。在教育程度较低(例如,未完成大学学业:aOR,1.16;95%置信区间,1.12-1.21 与大学学历[≥4 年]:aOR,1.10;95%置信区间,1.06-1.14;P=0.03)或收入较低(<50%分位数:aOR,1.17;95%置信区间,1.14-1.21 与≥50%分位数:aOR,1.12;95%置信区间,1.09-1.16;P=0.02)或暴露于有限绿地(<50%分位数:aOR,1.19;95%置信区间,1.15-1.23 与≥50%分位数:aOR,1.12;95%置信区间,1.09-1.15;P=0.003)、更多野火烟雾(≥50%分位数:aOR,1.19;95%置信区间,1.16-1.23 与<50%分位数:aOR,1.13;95%置信区间,1.09-1.16;P=0.009)或极端高温(aOR,1.51;95%置信区间,1.42-1.59 与温和温度:aOR,1.11;95%置信区间,1.09-1.14;P<0.001)的个体中,观察到更高的 aOR。

结论和相关性

在这项研究中,怀孕期间暴露于 PM2.5 及其特定成分与 sPTB 的发生几率增加相关。社会经济地位和其他环境暴露情况改变了这种关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1026/11561696/3e7ae29bfbce/jamanetwopen-e2444593-g001.jpg

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