细颗粒物及其成分与自发性早产。

IF 10.5 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL JAMA Network Open Pub Date : 2024-11-04 DOI:10.1001/jamanetworkopen.2024.44593
Anqi Jiao, Alexa N Reilly, Tarik Benmarhnia, Yi Sun, Chantal Avila, Vicki Chiu, Jeff Slezak, David A Sacks, John Molitor, Mengyi Li, Jiu-Chiuan Chen, Jun Wu, Darios Getahun
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Singleton live births with recorded residential information of pregnant individuals during pregnancy were included. Data were analyzed from December 2023 to March 2024.</p><p><strong>Exposures: </strong>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.</p><p><strong>Main outcomes and measures: </strong>The primary outcome was sPTB identified through a natural language processing algorithm. 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引用次数: 0

摘要

重要性:暴露于细颗粒物(PM2.5)及其成分与自发性早产(sPTB)之间的关系仍未得到充分研究。根据社会经济状况和其他环境因素确定风险增加的亚人群对于采取有针对性的干预措施至关重要:研究 PM2.5 及其成分与早产儿的关系:这项基于人群的回顾性队列研究于 2008 年至 2018 年在南加州 Kaiser Permanente 大型综合医疗保健系统内进行。研究纳入了怀孕期间有居住信息记录的单胎活产婴儿。数据分析时间为 2023 年 12 月至 2024 年 3 月:评估了加利福尼亚州 PM2.5 的每日总浓度和 5 种 PM2.5 成分(硫酸盐、硝酸盐、铵、有机物和黑碳)的每月数据,并计算了孕期和各孕期对这些污染物的平均暴露量。利用街景图像估算了总绿地、树木、低洼植被和草地的暴露量。与野火相关的暴露是通过孕期野火特定 PM2.5 的平均浓度来测量的。此外,还计算了孕期每日最高气温的平均暴露量:主要结果是通过自然语言处理算法确定的 sPTB。采用离散时间生存模型来估计 PM2.5 总浓度及其 5 种成分与 sPTB 的关系。使用交互项来研究种族和民族、教育程度、家庭收入以及绿地、野火烟雾和气温暴露的效应修正:在 409 037 名新生儿中(母亲分娩时的平均年龄为 30.3 [5.8] 岁),PM2.5、黑碳、硝酸盐和硫酸盐与 sPTB 呈正相关。每增加一个 IQR,调整后的几率比(aORs)为 1.15(95% CI,1.12-1.18;P 结论及相关性:在这项研究中,孕期暴露于PM2.5和特定PM2.5成分与SPTB几率增加有关。社会经济地位和其他环境暴露改变了这种关联。
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Fine Particulate Matter, Its Constituents, and Spontaneous Preterm Birth.

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.

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来源期刊
JAMA Network Open
JAMA Network Open Medicine-General Medicine
CiteScore
16.00
自引率
2.90%
发文量
2126
审稿时长
16 weeks
期刊介绍: JAMA Network Open, a member of the esteemed JAMA Network, stands as an international, peer-reviewed, open-access general medical journal.The publication is dedicated to disseminating research across various health disciplines and countries, encompassing clinical care, innovation in health care, health policy, and global health. JAMA Network Open caters to clinicians, investigators, and policymakers, providing a platform for valuable insights and advancements in the medical field. As part of the JAMA Network, a consortium of peer-reviewed general medical and specialty publications, JAMA Network Open contributes to the collective knowledge and understanding within the medical community.
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