Journal of Exposure Science and Environmental Epidemiology最新文献

{"title":"Six principles of exposure science: inspiring solutions that foster healthy environments","authors":"Elaine A. Cohen Hubal","doi":"10.1038/s41370-025-00791-1","DOIUrl":"10.1038/s41370-025-00791-1","url":null,"abstract":"","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":"35 5","pages":"693-695"},"PeriodicalIF":4.7,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s41370-025-00791-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144565610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disparities in exposure to concentrated animal feeding operations (CAFOs) and other animal feeding operations across multiple states in USA.","authors":"Ji-Young Son, Brandon M Lewis, Michelle L Bell","doi":"10.1038/s41370-025-00783-1","DOIUrl":"10.1038/s41370-025-00783-1","url":null,"abstract":"<p><strong>Background: </strong>Animal feeding operations (AFOs), including concentrated animal feeding operations (CAFOs), pose significant environmental degradation and health risks. These facilities are often disproportionately located in disadvantaged communities, however, findings are inconsistent.</p><p><strong>Objective: </strong>We investigated disparities in AFO/CAFO exposure across seven US states, focusing on variables related to environmental justice (EJ) and at-risk populations.</p><p><strong>Methods: </strong>We linked AFO/CAFO data from seven states (Iowa, North Carolina, Pennsylvania, South Carolina, Texas, Virginia, and Wisconsin) to ZIP code-level census variables. We assessed exposure by calculating area-weighted number of AFO/CAFO within 15 km buffers and categorized ZIP codes into no, low, medium, and high exposure groups. Our analysis compared the spatial distributions of AFO/CAFO exposure and variables related to EJ and at-risk populations by exposure intensity.</p><p><strong>Results: </strong>We found differences in the distributions of AFO/CAFO exposure and variables related to EJ and at-risk populations among states. In some states (e.g., North Carolina, Pennsylvania), AFOs/CAFOs were densely clustered in specific areas, while in others (e.g., Iowa, Wisconsin), they were more evenly distributed. We found disproportionate exposure to AFO/CAFO in disadvantaged communities such as communities with high percentages of racial/ethnic minority persons and low socioeconomic status in some states, whereas other states showed different patterns. Trends varied by state, with some showing increasing Non-Hispanic Black and Hispanic populations with higher exposure (e.g., North Carolina), while others showed opposite trends (e.g., Pennsylvania). Education, poverty, and income levels also varied, with some states (e.g., North Carolina, South Carolina) showing higher poverty rates, lower education level, and lower incomes in higher exposure groups and other states showing reverse trends (e.g., Wisconsin).</p><p><strong>Impact: </strong>This study investigated disparities in AFO/CAFO exposure across seven US states. We applied an advanced exposure metric and considered multiple variables to capture diverse aspects of environmental injustice and disadvantaged communities. Our findings across multiple states provide valuable insights that can inform policy development and help mitigate exposure disparities across various populations and locations.</p>","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12413751/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the association between groundwater contaminants and hypertension risk in India: a machine learning-based analysis.","authors":"Sourav Biswas, Aparajita Chattopadhyay, Kathrin Schilling, Ayushi Das","doi":"10.1038/s41370-025-00776-0","DOIUrl":"https://doi.org/10.1038/s41370-025-00776-0","url":null,"abstract":"<p><strong>Background: </strong>One-fourth of Indians are hypertensive, and the majority relies on groundwater for drinking. But the role of groundwater physicochemical properties and contamination in hypertension remains understudied.</p><p><strong>Objective: </strong>The study investigates the association between physicochemical groundwater characteristics andcontaminants and hypertension risk in India.</p><p><strong>Data: </strong>This study used data from the fifth round of the National Family Health Survey (NFHS-5 collected 2019-2021), including health, socio-demographics, and food and dietary information (n = 712,666 individuals). The physicochemical characteristics of groundwater data were derived from the Central Groundwater Board (CGWB, 2019-2021). This groundwater data from raster maps was linked to NFHS-5 records using cluster shapefiles and merging them with individual records via cluster IDs.</p><p><strong>Methods: </strong>Bivariate and multivariable regressions were used to identify factors associated with hypertension at the individual level. Moran's I statistics, Local Indicator of Spatial Association (LISA) cluster maps, and the Spatial Error Model (SEM) were used at district levels to investigate the spatial association. Machine learning models, including Artificial Neural Networks (ANN), Random Forest and Extreme Gradient Boosting (XGBoost), were used to predict hypertension risk zones.</p><p><strong>Results: </strong>Physicochemical drinking water composition is a key factor in hypertension risk. Elevated groundwater pH (>8.5, Adjusted Odds Ratio (AOR): 2.12), electrical conductivity (>300 μS/cm, AOR: 1.06), sulphate (>200 mg/L,  AOR: 1.16), arsenic (>0.01 mg/L, AOR: 1.09), nitrate (>45 mg/L, AOR: 1.07), and magnesium (>30 mg/L, AOR: 1.03) are associated to higher odds of hypertension. The Random Forest model demonstrated the highest predictive performance, with a coefficient of determination (R²) of 0.9970, mean absolute error (MAE) of 0.0012, and mean squared error (MSE) of 0.0077. It effectively identified high-risk zones in the northwestern (Delhi, Punjab, Haryana, and Rajasthan) and eastern (West Bengal and Bihar) regions of India.</p><p><strong>Impact: </strong>This study highlights how important groundwater quality is in determining the incidence of hypertension, pointing to groundwater physicochemical properties and contaminants such as electrical conductivity, sulphate, arsenic, nitrate, and magnesium as essential factors. Our research is the first of its kind to comprehensively map hypertension risk zones using machine learning models and geospatial analysis. The findings highlight that water quality is a modifiable risk factor, reinforcing the need for improved drinking water supply systems, regular water quality testing, and targeted interventions in high-risk regions. This study emphasizes the importance of intersectoral collaborations to enhance public health outcomes.</p>","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144225666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Suspect screening of bisphenol A (BPA) structural analogues and functional alternatives in human milk from Canada and South Africa","authors":"Zhi Hao Chi,&nbsp;Lan Liu,&nbsp;Jingyun Zheng,&nbsp;Lei Tian,&nbsp;Jonathan Chevrier,&nbsp;Riana Bornman,&nbsp;Muvhulawa Obida,&nbsp;Cindy Gates Goodyer,&nbsp;Barbara F. Hales,&nbsp;Stéphane Bayen","doi":"10.1038/s41370-025-00782-2","DOIUrl":"10.1038/s41370-025-00782-2","url":null,"abstract":"Plastic-related contaminants, such as bisphenols, can enter the maternal body and be transferred to breast milk. While common bisphenols such as bisphenol A, S, F and AF have been detected in previous studies, there is limited knowledge about the occurrence of other structurally similar compounds in human milk with potential endocrine-disrupting properties. In this study, we investigated structural analogues and functional alternatives of bisphenol A (BPA) in 594 human milk samples collected from Canada (Montreal) and South Africa (Vhembe and Pretoria) using LC-Q-TOF-MS through suspect screening. Suspect screening was performed using data collected from the milk samples using a customized database library (204 compounds). A retrospective semi-quantitative approach was then applied to estimate the levels of TGSA, D-8 and D-90 in human milk. This work revealed the presence of eleven compounds, including four compounds commonly used in thermal labels, four ultraviolet filters, and three synthetic antioxidants or metabolites. Retrospective semi-quantification of D-8, D-90 and TGSA revealed levels of up to 1.24, 1.98, and 0.72 ng/mL in milk, respectively. Several structural analogues and functional alternatives of bisphenol A were identified in human milk through non-targeted screening. Two other phenolic compounds (Irganox 1010 and BHT-COOH) were identified in human milk for the first time. This study highlights the importance of novel strategies in human milk biomonitoring to identify emerging contaminants to which breastfeeding infants are exposed.","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":"35 4","pages":"557-566"},"PeriodicalIF":4.7,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144208692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Statement in support of exposure science and the scientists that make America healthy","authors":"Erin N. Haynes","doi":"10.1038/s41370-025-00779-x","DOIUrl":"10.1038/s41370-025-00779-x","url":null,"abstract":"The health of every nation depends on the quality of its environment. Toxic chemicals in food, soil, water, and air are intimately linked to human health. The health and safety of the American public, including its workers, are at risk due to the broad reduction in the workforce in federal agencies established to safeguard the public and worker health. The uncertain future of federal support for academic institutions that serves as a vital engine working to protect environmental public health through critical research, training, and public outreach is of pressing concern.","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":"35 4","pages":"521-521"},"PeriodicalIF":4.7,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s41370-025-00779-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144127797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of climatic factors with pregnancy loss in Nicosia, Cyprus","authors":"Aashna Pranav Shah,&nbsp;Souzana Achilleos,&nbsp;Veronica A. Wang,&nbsp;Michael Leung,&nbsp;Marc G. Weisskopf,&nbsp;Theopisti Kyprianou,&nbsp;Petros Koutrakis,&nbsp;Stefania Papatheodorou","doi":"10.1038/s41370-025-00781-3","DOIUrl":"10.1038/s41370-025-00781-3","url":null,"abstract":"While ambient climatic factors are linked to adverse pregnancy outcomes, only a few studies examine the risk of pregnancy loss. This study aims to examine the effects of climatic factors on pregnancy loss in Nicosia, Cyprus, an area that is highly affected by climate change. Birth registry data obtained from maternity units in Nicosia from 2014–2019 were linked with daily meteorological and traffic pollution data (minimum and maximum temperature, °C; relative humidity [RH], %; and nitrogen dioxide [NO2], μg/m3). We also estimated other climatic factors from the obtained data (mean weekly temperature, standard deviation of weekly temperature and RH [temperature and RH variability], and heat index [HI]). We used a novel variation of time-series design and distributed lag models adjusting for secular trends and air pollution to explore the association between climatic factors and weekly live-birth identified conceptions (LBICs), to indirectly estimate pregnancy losses. There were 26,382 live births over the study period, with an average weekly LBICs of 84.7( ± 12.2). We found an association between exposure to higher temperature between gestation weeks 0–9 and pregnancy loss, with the strongest association in weeks 0–1. Specifically, for a 5°C increase in mean week 0–1 temperature, 3.17 (95% Confidence Interval [CI]: 1.06–5.28) additional conceptions would result in pregnancy losses. A similar effect during early pregnancy was found for exposure to minimum and maximum temperature, HI, and RH. Furthermore, we found that temperature variability may have an impact in later weeks during pregnancy, with the strongest estimate in week 26 (6.70 [95% CI: 0.78–13.21] losses per 5 °C increase in standard deviation of weekly temperature). Similar results were observed for RH variability. This research investigates the link between climatic factors and pregnancy loss in Nicosia, Cyprus, a region experiencing rising temperatures and humidity levels. By analyzing live birth data using a novel time-series approach, the study finds that higher temperatures and humidity levels are associated with increased pregnancy loss, particularly in early gestation. These findings underscore the need for targeted public health interventions, such as heat warning systems, to mitigate the impact of climate change on vulnerable populations. As climate change escalates, understanding these associations is crucial for developing effective strategies to protect maternal and fetal health.","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":"35 5","pages":"831-838"},"PeriodicalIF":4.7,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144127794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between neighborhood greenery and birth outcomes in a North Carolina cohort","authors":"Wei-Lun Tsai,&nbsp;Thomas J. Luben,&nbsp;Kristen M. Rappazzo","doi":"10.1038/s41370-025-00780-4","DOIUrl":"10.1038/s41370-025-00780-4","url":null,"abstract":"Higher levels of neighborhood greenery have been associated with improved birth outcomes. However, many studies use metrics relying on vegetation density and are not able to distinguish types of greenery or spatial context, which may result in variation in potential benefits. We examined relationships between term low birth weight (TLBW) and preterm birth (PTB), and different types of neighborhood greenery (i.e., tree cover, herbaceous cover, and aggregate greenery) within various spatial contexts (i.e., Euclidean distance and network distance-based buffers, and busy roadways to represent overall, street, and near-road greenery). North Carolina birth registry data from 2003 to 2015 were used to create a singleton live birth cohort and linked to greenery metrics from EnviroAtlas. Logistic regression models were used to estimate OR (95%CI) for associations between greenery metrics and TLBW (&lt;2500 g) or PTB (&lt;37 weeks gestational age) adjusting for potential confounders. Analyses were stratified by race/ethnicity, as many studies report potential differences in proximity to greenery across these groups. We observed modest associations between multiple measures of neighborhood greenery and TLBW and PTB. Most of our results indicated a decreased odds of adverse birth outcomes with increasing levels of neighborhood greenery, but some associations showed increased odds of adverse birth outcomes. We observed the strongest associations between overall aggregate greenery with TLBW (0.967 [0.939, 0.996]) and near-road tree cover with PTB (0.985 [0.971, 0.999]). We also observed unexpected associations between increased greenway density and TLBW among non-Hispanic Black mothers (1.181 [1.049, 1.326]). In contrast, we observed a decreased odds of PTB associated with increased greenway density for non-Hispanic white mothers (0.926 [0.871, 0.983]). We examined relationships between adverse birth outcomes and different types of neighborhood greenery, generally finding decreased odds of adverse birth outcomes with increasing levels of neighborhood greenery, with the strongest associations between aggregate greenery based on the Euclidean distance and decreased odds of term low birth weight. However, we also observed unexpected associations with increased greenway density and increased term low birth weight among non-Hispanic Black mothers. These results highlight the importance of considering the ways greenspace may or may not benefit some communities and will be important in guiding future efforts to increase instorative value or restore neighborhood greenspaces.","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":"35 5","pages":"821-830"},"PeriodicalIF":4.7,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144119673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Review of volatile organic compound (VOC) emissions from desktop 3D printers and associated health implications.","authors":"Danielle A Baguley, Gareth S Evans, Delphine Bard, Paul S Monks, Rebecca L Cordell","doi":"10.1038/s41370-025-00778-y","DOIUrl":"https://doi.org/10.1038/s41370-025-00778-y","url":null,"abstract":"<p><strong>Background: </strong>Three-dimensional (3D) printing is a technique by which materials are continually added in layers to form structures. The technique has grown in popularity over the past decade and affordable desktop 3D printers are now widely used in schools, universities, businesses, and hospitals.</p><p><strong>Objective: </strong>Understanding the types of chemical emissions from these 3D printers and their potential health effects is essential to safely use this technology.</p><p><strong>Methods: </strong>A scoping literature review on volatile organic compound (VOC) emissions from resin-bed and filament 3D printers has been conducted. Most of the published research has focused on emissions from filament 3D printers.</p><p><strong>Results: </strong>VOC emissions from resin 3D printers have been reported mostly as carbonyl compounds or methacrylate monomers. Filament VOC emissions are more varied in composition reflecting the constituents in the filaments used in this printer. The published research reported that the airborne concentrations of specific VOCs from 3D desktop printers fell below the HSE British workplace exposure limits (WELs). This may suggest that VOC emissions from these printers do not present a risk to occupational health. However, caution is required in reaching this conclusion because most of these studies quantified specific VOC emissions using methods different to those required by workplace regulatory standards. Other exposure circumstances, such as the effect of total VOC emissions, need to be considered, particularly for vulnerable groups, including individuals with respiratory disease, the elderly, or young children. Variables that could increase exposure and risks to health include long print times, multiple 3D printers, and poor ventilation. Research on the VOC emissions from resin 3D printers is required using experimental emission chambers.</p><p><strong>Impact: </strong>The research discussed in this review focused on VOC emissions from desktop 3D printers and the potential health impacts associated with exposure to these compounds. The review identifies circumstances when people may be exposed to 3D printer emissions for which no regulatory exposure limits apply. This circumstance is especially relevant to people working in small businesses and organisations and to vulnerable people, such as the young, elderly and those with pre-existing lung disease. Raising awareness of these potential health concerns from 3D printer emissions can help to inform actions to mitigate exposure, through policy and behavioural changes, as well as engineering control measures. To our knowledge, this is the first review discussing studies of VOC emission from resin and popular filament 3D printers, including exposure risks and health outcomes.</p>","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143995152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Air pollution and preterm birth: comparing trimester average and repeated threshold exposure metrics in a North Carolina birth cohort, 2003-2015.","authors":"Sanjida J Mowla, Alison K Krajewski, Adrien A Wilkie, Kristen M Rappazzo, Thomas J Luben","doi":"10.1038/s41370-025-00774-2","DOIUrl":"https://doi.org/10.1038/s41370-025-00774-2","url":null,"abstract":"<p><strong>Background: </strong>Exposures to ambient air pollutants during pregnancy are associated with preterm birth (PTB) in studies that evaluate average pollutant concentrations during potential \"windows of susceptibility,\" referred to as critical windows.</p><p><strong>Objective: </strong>We evaluated associations between ozone (O₃) or particulate matter <2.5 micrometers (PM_2.5) during pregnancy and PTB, using continuous and categorical metrics of average exposure and repeated exceedances of threshold concentrations.</p><p><strong>Methods: </strong>We analyzed data from North Carolina (NC) birth certificates from the NC Birth Defects Monitoring Program, limited to live, singleton births without birth defects and delivered from 2003-2015. The EPA's Fused Air Quality Surface Using Downscaling (fCMAQ) model was used to assign exposures for trimester-average and daily threshold exceedances for O₃ (daily 8-h maximum) and PM_2.5 (24-h average) at different daily threshold concentrations (O₃: 55-70 ppb; PM_2.5: 20-35 µg/m³) during trimesters 1 and 2 of pregnancy. Descriptive statistics, including weighted kappa statistics, were evaluated. Modified Poisson regression models were used to estimate adjusted risk differences (RDs) per 10,000 births.</p><p><strong>Results: </strong>Among the cohort of 1,368,370 births, 8.4% were PTBs. The number of daily exposure exceedances ranged from 0 to 81 days over different threshold concentrations during trimester 1 or 2. There was slight to moderate agreement in risk associated with trimester average and daily threshold exposures exceedances, with decreased agreement among higher threshold concentrations. RDs ranged from -31 to 29 for average O₃ exposure and from -2 to 89 for repeated O₃ threshold exceedances. RDs ranged from 23 to 120 for average PM_2.5 exposure and from -227 to 118 for repeated PM_2.5 exposure.</p><p><strong>Significance: </strong>This study provides insights into the heterogeneity in risk of PTB when assessing different air pollution exposure metrics.</p><p><strong>Impact: </strong>This study investigates the impact of O₃ and PM_2.5 exposures during pregnancy on the risk of PTB, using measures based on both average concentrations and repeated exceedances of threshold levels. The findings address uncertainties identified in recent NAAQS reviews and suggests that repeated exposure metrics may capture differences in exposure that are not apparent when evaluating average exposure metrics.</p>","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143999338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can a single pollen measurement site provide exposure information for health research across an entire state? Results from a study of allergic-type asthma associated with thunderstorms (2007-2018).","authors":"M Luke Smith, Richard F MacLehose, Jesse D Berman","doi":"10.1038/s41370-025-00777-z","DOIUrl":"10.1038/s41370-025-00777-z","url":null,"abstract":"<p><strong>Background: </strong>Thunderstorm asthma is an increase in severe asthma following thunderstorm events during high pollen conditions. However, sparse pollen measurements hinder epidemiological research of this phenomenon.</p><p><strong>Objective: </strong>Is pollen measured at a single site predictive of thunderstorm asthma risk across a broad region?</p><p><strong>Methods: </strong>We conducted a meta-analysis to estimate thunderstorm asthma risk on 19 city-level sites incorporating local weather and patient data but a single pollen site. We use meta-regression to explore effect modification by land cover and distance from pollen measurement location.</p><p><strong>Results: </strong>Meta-analysis showed no evidence of a state-wide thunderstorm asthma effect. Meta-regressions suggest that increased vegetation was associated with higher thunderstorm asthma risk with reduced risk at greater distances from pollen collection sites.</p><p><strong>Impact statement: </strong>The phenomenon of thunderstorm asthma in the U.S. remains poorly studied due to geographically sparse pollen collection sites. Using a 19-city study, we demonstrate that incorporating environmental characteristics, such as land cover of allergic-type pollen-producing grasslands and deciduous trees, can improve the prediction of thunderstorm asthma risk at far distances from pollen monitors. By increasing the precision of pollen estimates, we can improve the estimation of thunderstorm asthma human health risks and potentially optimize decisions for new pollen collection sites.</p>","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144039495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}