Zhang Yijia, Angley Meghan, Lu Liping, Smith Brian J, Grobman William, Wylie Blair J, Zork Noelia M, D'Alton Mary E, McNeil Becky, Mercer Brian M, Silver Robert M, Simhan Hyagriv N, Haas David M, Saade George R, Parry Samuel, Reddy Uma, Kahe Ka
Department of Obstetrics and Gynecology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York.
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
JAMA Netw Open. 2025 Jan 2;8(1):e2454319. doi: 10.1001/jamanetworkopen.2024.54319.
Understanding environmental risk factors for gestational diabetes (GD) is crucial for developing preventive strategies and improving pregnancy outcomes.
To examine the association of county-level radon exposure with GD risk in pregnant individuals.
DESIGN, SETTING, AND PARTICIPANTS: This multicenter, population-based cohort study used data from the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b) cohort, which recruited nulliparous pregnant participants from 8 US clinical centers between October 2010 and September 2013. Participants who had pregestational diabetes or were missing data on GD or county-level radon measurements were excluded from the current study. Data were analyzed from September 2023 to January 2024.
County-level radon data were created by the Lawrence Berkeley National Laboratory based on the Environmental Protection Agency's short- and long-term indoor home radon assessments. Radon exposure was categorized into 3 groups: less than 1, 1 to less than 2, and 2 or more picocuries (pCi)/L (to convert to becquerels per cubic meter, multiply by 37). Because radon, smoking, and fine particulate matter air pollutants (PM2.5) may share similar biological pathways, participants were categorized by joint classifications of radon level (<2 and ≥2 pCi/L) with smoking status (never smokers and ever smokers) and radon level with PM2.5 level (above or below the median).
The main outcome was GD, identified based on glucose tolerance testing and information from medical record abstraction. Multiple logistic regression models were used to assess the association between radon exposure and GD.
Among the 9107 participants, mean (SD) age was 27.0 (5.6) years; 3782 of 9101 (41.6%) had ever used tobacco. The mean (SD) county-level radon concentration was 1.6 (0.9) pCi/L, and 382 participants (4.2%) had GD recorded. After adjusting for potential confounders, individuals living in counties with the highest radon level (≥2 pCi/L) had higher odds of developing GD compared with those living in counties with the lowest radon level (<1 pCi/L) (odds ratio [OR], 1.37; 95% CI, 1.02-1.84); after additional adjustment for PM2.5, the OR was 1.36 (95% CI, 1.00-1.86). Elevated odds of GD were also observed in ever smokers living in counties with a higher (≥2 pCi/L) radon level (OR, 2.09; 95% CI, 1.41-3.11) and participants living in counties with higher radon and PM2.5 levels (OR, 1.93; 95% CI, 1.31-2.83), though no statistically significant interactions were observed.
This cohort study suggests that higher radon exposure is associated with greater odds of GD in nulliparous pregnant individuals. Further studies are needed to confirm the results and elucidate the underlying mechanisms, especially with individual-level residential radon exposure assessment.
了解妊娠期糖尿病(GD)的环境危险因素对于制定预防策略和改善妊娠结局至关重要。
研究县级氡暴露与孕妇患GD风险之间的关联。
设计、地点和参与者:这项基于人群的多中心队列研究使用了初产妊娠结局研究:监测准妈妈(nuMoM2b)队列的数据,该队列于2010年10月至2013年9月从美国8个临床中心招募了初产孕妇参与者。孕前患有糖尿病或缺少GD或县级氡测量数据的参与者被排除在本研究之外。数据于2023年9月至2024年1月进行分析。
县级氡数据由劳伦斯伯克利国家实验室根据美国环境保护局的短期和长期室内家庭氡评估创建。氡暴露分为3组:低于1、1至低于2、2或更高皮居里(pCi)/升(要转换为每立方米贝克勒尔,乘以37)。由于氡、吸烟和细颗粒物空气污染物(PM2.5)可能具有相似的生物学途径,参与者根据氡水平(<2和≥2 pCi/L)与吸烟状态(从不吸烟者和曾经吸烟者)以及氡水平与PM2.5水平(高于或低于中位数)的联合分类进行分组。
主要结局是GD,根据葡萄糖耐量试验和病历摘要信息确定。使用多元逻辑回归模型评估氡暴露与GD之间的关联。
在9107名参与者中,平均(标准差)年龄为27.0(5.6)岁;9101名中有3782名(41.6%)曾经使用过烟草。县级氡浓度平均(标准差)为1.6(0.9)pCi/L,382名参与者(4.2%)有GD记录。在调整潜在混杂因素后,与生活在氡水平最低(<1 pCi/L)县的人相比,生活在氡水平最高(≥2 pCi/L)县的人患GD的几率更高(优势比[OR],1.37;95%置信区间,1.02 - 1.84);在进一步调整PM2.5后,OR为1.36(95%置信区间,1.00 - 1.86)。在生活在氡水平较高(≥2 pCi/L)县的曾经吸烟者(OR,2.09;95%置信区间,1.41 - 3.11)以及生活在氡和PM2.5水平较高县的参与者(OR,1.93;95%置信区间,1.31 - 2.83)中也观察到GD几率升高,尽管未观察到具有统计学意义的相互作用。
这项队列研究表明,较高的氡暴露与初产孕妇患GD的几率增加有关。需要进一步研究以证实结果并阐明潜在机制,特别是进行个体水平的住宅氡暴露评估。