School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Massachusetts General Hospital, Boston, Massachusetts, USA.
Environ Health Perspect. 2024 Oct;132(10):107001. doi: 10.1289/EHP12628. Epub 2024 Oct 16.
Risk of preterm birth (PTB) and low birth weight (LBW) due to hydraulic fracturing (HF) exposure is a growing concern. Regional studies have demonstrated links, but results are often contradictory among studies.
This is the first US national study to our knowledge linking fracturing fluid ingredients to the human hormone pathways targeted-estrogen, testosterone, or other hormones (e.g., thyroid hormone)-to assess the effect of HF ingredients on rates of PTB and LBW.
We constructed generalized linear regression models of the impact of HF well density and hormone targeting chemicals in HF fluids (2001-2018) on the county-level average period prevalence rates of PTB and LBW (2015-2018) with each outcome measured in separate models. Our data sources consisted of publicly available datasets, including the WellExplorer database, which uses data from FracFocus, the March of Dimes Peristats, the US Census Bureau, the US Department of Agriculture, and the Centers for Disease Control and Prevention. We conducted additional stratified analyses to address issues of confounding. We used stratification to address issues regarding outcomes in rural vs. urban communities by assessing whether our models achieved similar results in nonmetro counties, as well as farming and mining counties. We also stratified by the year of the HF data to include HF data that was closer to the time of the birth outcomes. We also added covariate adjustment to address other important factors linked to adverse birth outcomes, including the proportion of the population belonging to various racial and ethnic minority populations (each modeled as a separate variable); education (bachelor's degree and high school); use of fertilizers, herbicides, and insecticides, acres of agricultural land per square mile; poverty; insurance status; marital status; population per square mile; maternal care deserts; and drug deaths per 100,000 people.
We found that the density of HF wells in a county was significantly associated with both PTB and LBW rates (percentage of live births) in our fully adjusted models. We report the results from our more restrictive stratified analysis with a subset including only the 2014-2018 data, because this resulted in the most meaningful time frame for comparison. Across all models, the magnitude of effect was highest for wells with ingredients that include estrogen targeting chemicals (ETCs), testosterone targeting chemicals (TTCs) and other hormone targeting chemicals (OHTCs), and, finally, all wells grouped regardless of chemical type. For every unit increase in well density per square mile of wells that use chemicals that include an ETC, we observed a 3.789-higher PTB rate (95% CI: 1.83, 5.74) compared with counties with no ETC wells from 2014 to 2018 and likewise, we observed a 1.964-higher LBW rate (95% CI: 0.41, 3.52). Similarly, for every unit increase in well density per square mile of wells that use TTC, we observed a 3.192-higher PTB rate (95% CI: 1.62, 4.77) compared with counties with no TTC wells. Likewise, for LBW, we found a 1.619-higher LBW rate (95% CI: 0.37, 2.87). We also found that an increase in well density per square mile among wells that use chemicals that include an OHTC resulting in a 2.276-higher PTB rate (95% CI: 1.25, 3.30) compared with counties with no OHTC wells, and for LBW, we found a 1.244-higher LBW rate (95% CI: 0.43, 2.06). We also explored the role of HF well exposure in general (regardless of the chemicals used) and found that an increase in total well density (grouped regardless of hormonal targeting status of the chemicals used) resulted in a 1.228-higher PTB rate (95% CI: 0.66, 1.80) compared with counties with no wells, and for LBW, we found a 0.602-higher LBW rate (95% CI: 0.15, 1.05) compared with counties with no wells. We found similar results in our primary analysis that used all data without any exclusions and the statistical significance did not change.
Our findings reinforce previously identified regional associations between HF and PTB and LBW, but on a national scale. Our findings point to dysregulation of hormonal pathways underpinning HF exposure risk on birth outcomes, which warrants further exploration. Future research must consider the specific ingredients used in HF fluids to properly understand the differential effects of exposure. https://doi.org/10.1289/EHP12628.
由于水力压裂(HF)暴露而导致早产(PTB)和低出生体重(LBW)的风险日益受到关注。区域研究已经证明了两者之间存在联系,但研究结果往往相互矛盾。
这是我们所知的第一项美国全国性研究,将压裂液成分与人类激素途径(靶向雌激素、睾丸激素或其他激素,如甲状腺激素)联系起来,以评估 HF 成分对 PTB 和 LBW 发生率的影响。
我们构建了广义线性回归模型,以评估 HF 井密度和 HF 液中靶向激素的化学物质(2001-2018 年)对 2015-2018 年县级平均期间 PTB 和 LBW 发生率(每个模型分别测量一个结果)的影响。我们的数据来源包括公开可用的数据集,包括 WellExplorer 数据库,该数据库使用 FracFocus、March of Dimes Peristats、美国人口普查局、美国农业部和疾病控制与预防中心的数据。我们进行了额外的分层分析,以解决混杂问题。我们通过评估我们的模型在非大都市县以及农业和采矿业县是否得出类似的结果来解决农村与城市社区之间的结果差异问题。我们还按 HF 数据的年份进行分层,以纳入更接近出生结局时间的 HF 数据。我们还通过调整协变量来解决与不良出生结局相关的其他重要因素,包括属于各种种族和少数民族人口的比例(每个变量单独建模);教育程度(学士学位和高中学历);使用化肥、除草剂和杀虫剂、每平方英里的农业用地面积;贫困;保险状况;婚姻状况;每平方英里的人口;产妇护理荒漠;以及每 10 万人的药物死亡人数。
我们发现,一个县的 HF 井密度与我们完全调整后的模型中的 PTB 和 LBW 发生率(活产百分比)显著相关。我们报告了更严格的分层分析的结果,该分析仅包括 2014-2018 年的数据,因为这是进行比较的最有意义的时间框架。在所有模型中,成分中包含雌激素靶向化学物质(ETCs)、睾丸激素靶向化学物质(TTCs)和其他激素靶向化学物质(OHTCs)的井的影响幅度最大,最后是所有不考虑化学类型分组的井。与 2014 年至 2018 年没有 ETC 井的县相比,每平方英里每增加一口使用包含 ETC 化学物质的井,我们观察到 PTB 率高出 3.789 倍(95%CI:1.83,5.74),同样,我们观察到 LBW 率高出 1.964 倍(95%CI:0.41,3.52)。同样,每平方英里每增加一口使用 TTC 化学物质的井,我们观察到 PTB 率高出 3.192 倍(95%CI:1.62,4.77),与没有 TTC 井的县相比。同样,对于 LBW,我们发现 LBW 率高出 1.619 倍(95%CI:0.37,2.87)。我们还发现,每平方英里使用包含 OHTC 化学物质的井的密度增加,导致 PTB 率高出 2.276 倍(95%CI:1.25,3.30),与没有 OHTC 井的县相比,对于 LBW,我们发现 LBW 率高出 1.244 倍(95%CI:0.43,2.06)。我们还探讨了 HF 井暴露的一般作用(无论使用何种化学物质),并发现总井密度的增加(无论使用的化学物质的激素靶向状态如何分组)导致 PTB 率高出 1.228 倍(95%CI:0.66,1.80),与没有井的县相比,对于 LBW,我们发现 LBW 率高出 0.602 倍(95%CI:0.15,1.05),与没有井的县相比。我们在使用所有数据且没有任何排除的主要分析中得到了类似的结果,并且统计显著性没有改变。
我们的发现强化了之前已经确定的 HF 与 PTB 和 LBW 之间的区域关联,但这是在全国范围内。我们的发现表明,HF 暴露对生育结局的风险与激素途径的失调有关,这需要进一步探索。未来的研究必须考虑 HF 液中使用的特定成分,以正确理解暴露的差异影响。https://doi.org/10.1289/EHP12628.