Pub Date : 2026-03-01Epub Date: 2026-02-28DOI: 10.1016/j.envint.2026.110175
Xiaochen Tang , Abel S. Huang , Marion L. Russell , Gideon St. Helen , Peyton Jacob III , Hugo Destaillats , Suzaynn F. Schick
The legalization of cannabis is exposing more people to secondhand smoke (SHS) generated during cannabis use. Given the serious health effects caused by tobacco SHS, there is a need to assess the potential health effects of exposure to cannabis SHS. As a step toward this, we measured the concentrations of cannabinoids, nicotine and polycyclic aromatic hydrocarbons (PAHs) in air samples collected in public places where cannabis was being consumed. These were compared with concentrations in exhaled aerosols from cannabis smoking and vaping, and in tobacco SHS. Tetrahydrocannabinol concentrations were 22 to 255 µg/m3 in field samples, below the threshold for psychoactive effects. Nicotine concentrations in field samples did not exceed 1 µg/m3. The total PAH concentrations in field samples were from 3.2 to 80.5 ng/m3, depending on location type. By contrast, PAH levels averaged 72 ng/m3 in tobacco SHS and 220 ng/m3 in the more concentrated, exhaled cannabis aerosols. A total of 22 different PAHs were identified in field samples of cannabis aerosols, from which benz[a]anthracene (B[a]A) was present in the highest concentrations. The PAH profile of cannabis aerosols was different from that of tobacco SHS. A preliminary cancer risk evaluation showed that the dose associated with inhalation of cannabis SHS during an 8-h work shift exceeded the California No Significant Risk Level for B[a]A at all venues where cannabis was consumed primarily via smoking. In summary, the consumption of cannabis, by smoking and by vaporizing, can create aerosols that contain carcinogenic PAHs. Thus breathing secondhand cannabis aerosols increases exposure to carcinogens.
{"title":"Polycyclic aromatic hydrocarbons and cannabinoids in secondhand cannabis smoke","authors":"Xiaochen Tang , Abel S. Huang , Marion L. Russell , Gideon St. Helen , Peyton Jacob III , Hugo Destaillats , Suzaynn F. Schick","doi":"10.1016/j.envint.2026.110175","DOIUrl":"10.1016/j.envint.2026.110175","url":null,"abstract":"<div><div>The legalization of cannabis is exposing more people to secondhand smoke (SHS) generated during cannabis use. Given the serious health effects caused by tobacco SHS, there is a need to assess the potential health effects of exposure to cannabis SHS. As a step toward this, we measured the concentrations of cannabinoids, nicotine and polycyclic aromatic hydrocarbons (PAHs) in air samples collected in public places where cannabis was being consumed. These were compared with concentrations in exhaled aerosols from cannabis smoking and vaping, and in tobacco SHS. Tetrahydrocannabinol concentrations were 22 to 255 µg/m<sup>3</sup> in field samples, below the threshold for psychoactive effects. Nicotine concentrations in field samples did not exceed 1 µg/m<sup>3</sup>. The total PAH concentrations in field samples were from 3.2 to 80.5 ng/m<sup>3</sup>, depending on location type. By contrast, PAH levels averaged 72 ng/m<sup>3</sup> in tobacco SHS and 220 ng/m3 in the more concentrated, exhaled cannabis aerosols. A total of 22 different PAHs were identified in field samples of cannabis aerosols, from which benz[a]anthracene (B[a]A) was present in the highest concentrations. The PAH profile of cannabis aerosols was different from that of tobacco SHS. A preliminary cancer risk evaluation showed that the dose associated with inhalation of cannabis SHS during an 8-h work shift exceeded the California No Significant Risk Level for B[a]A at all venues where cannabis was consumed primarily via smoking. In summary, the consumption of cannabis, by smoking and by vaporizing, can create aerosols that contain carcinogenic PAHs. Thus breathing secondhand cannabis aerosols increases exposure to carcinogens.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"209 ","pages":"Article 110175"},"PeriodicalIF":9.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147330247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-02-28DOI: 10.1016/j.envint.2026.110179
Hari S. Iyer , Stefanie A. Joseph , Julianne Varga , Chidinma Opara , Judith M. Graber , Robert J. Laumbach , Panos G. Georgopoulos , Jaime E. Hart , Gloria B. Post , Emily S. Barrett
Background
The U.S. Environmental Protection Agency set drinking water Maximum Contaminant Levels (MCLs) for several PFAS in 2024, yet few evaluations of earlier state regulations have been conducted. We evaluated the impact of regulatory actions taken by the New Jersey Department of Environmental Protection (NJDEP) to set PFAS drinking water standards in NJ community water systems (CWS).
Methods
The NJDEP performed statewide testing of CWS PFAS levels in 2006 and 2009–2010, which were supplemented by additional CWS data reported to NJDEP and federal monitoring from 2013 to 2015 using methods including EPA method 537 and 537.1. The NJ Drinking Water Quality Institute formally recommended MCLs to NJDEP for PFNA (13 ng/L) in July 2015, for PFOA (14 ng/L) in March 2017, and PFOS (13 ng/L) in June 2018. Routine CWS monitoring began in 2019, covering the study period of 2006–2025. Quarterly PFOA, PFOS, and PFNA testing results were obtained from 47 CWS with monitoring data before and after the MCL recommendations. Using linear regression, we fit interrupted time series models to estimate the change and trend in PFAS levels following proposed MCLs.
Results
We obtained 4,150, 4,086, and 4,053 monitoring results for PFOA, PFOS, and PFNA, respectively. We observed declines in the proportion of PFOA (49.3% v s 14.9%), PFOS (11.6% vs 3.5%), and PFNA (23.6% vs 1.5%) results above the MCL following recommendation of PFAS regulations (chi-squared P < 0.001). There was a 55% (95% CI: 11%, 77%) and 50% (95% CI: 14%, 71%) decline in PFOA and PFNA levels, respectively, following recommendation of MCLs. There were declines in quarterly trend in PFOS (2%, 95% CI: 0%, 5%) and PFNA levels (6%, 95% CI: 2%, 9%).
Discussion
Regulated PFAS levels declined following formal recommendation of MCLs to NJDEP. Actions taken toward establishing regulations to limit drinking water PFAS exposures can achieve substantial reductions.
背景:美国环境保护署在2024年为几种PFAS设定了饮用水最大污染物水平(MCLs),但很少对早期的州法规进行评估。我们评估了新泽西州环境保护部(NJDEP)在新泽西州社区水系统(CWS)中制定PFAS饮用水标准所采取的监管行动的影响。方法:NJDEP于2006年和2009-2010年在全州范围内检测了CWS PFAS水平,并通过2013 - 2015年向NJDEP报告的额外CWS数据和联邦监测(采用EPA方法537和537.1)进行了补充。2015年7月,新泽西州饮用水质量研究所正式向NJDEP推荐了PFNA (13 ng/L)的mcl, 2017年3月推荐了PFOA (14 ng/L), 2018年6月推荐了PFOS (13 ng/L)。常规CWS监测于2019年开始,研究期间为2006-2025年。在MCL建议前后对47个CWS进行监测,获得季度PFOA、PFOS和PFNA检测结果。使用线性回归,我们拟合中断时间序列模型来估计在提出的mcl后PFAS水平的变化和趋势。结果:我们分别获得了4,150、4,086和4,053个PFOA、PFOS和PFNA的监测结果。我们观察到PFOA (49.3% vs 14.9%)、PFOS (11.6% vs 3.5%)和PFNA (23.6% vs 1.5%)结果在PFAS法规推荐后高于MCL的比例下降(讨论:在正式推荐MCL到NJDEP后,受调节的PFAS水平下降。为建立限制饮用水中PFAS暴露的法规而采取的行动可以实现大幅减少。
{"title":"Impact of regulatory actions to establish maximum contaminant levels on per- and polyfluoroalkyl substances in New Jersey public water systems","authors":"Hari S. Iyer , Stefanie A. Joseph , Julianne Varga , Chidinma Opara , Judith M. Graber , Robert J. Laumbach , Panos G. Georgopoulos , Jaime E. Hart , Gloria B. Post , Emily S. Barrett","doi":"10.1016/j.envint.2026.110179","DOIUrl":"10.1016/j.envint.2026.110179","url":null,"abstract":"<div><h3>Background</h3><div>The U.S. Environmental Protection Agency set drinking water Maximum Contaminant Levels (MCLs) for several PFAS in 2024, yet few evaluations of earlier state regulations have been conducted. We evaluated the impact of regulatory actions taken by the New Jersey Department of Environmental Protection (NJDEP) to set PFAS drinking water standards in NJ community water systems (CWS).</div></div><div><h3>Methods</h3><div>The NJDEP performed statewide testing of CWS PFAS levels in 2006 and 2009–2010, which were supplemented by additional CWS data reported to NJDEP and federal monitoring from 2013 to 2015 using methods including EPA method 537 and 537.1. The NJ Drinking Water Quality Institute formally recommended MCLs to NJDEP for PFNA (13 ng/L) in July 2015, for PFOA (14 ng/L) in March 2017, and PFOS (13 ng/L) in June 2018. Routine CWS monitoring began in 2019, covering the study period of 2006–2025. Quarterly PFOA, PFOS, and PFNA testing results were obtained from 47 CWS with monitoring data before and after the MCL recommendations. Using linear regression, we fit interrupted time series models to estimate the change and trend in PFAS levels following proposed MCLs.</div></div><div><h3>Results</h3><div>We obtained 4,150, 4,086, and 4,053 monitoring results for PFOA, PFOS, and PFNA, respectively. We observed declines in the proportion of PFOA (49.3% v s 14.9%), PFOS (11.6% vs 3.5%), and PFNA (23.6% vs 1.5%) results above the MCL following recommendation of PFAS regulations (chi-squared <em>P</em> < 0.001). There was a 55% (95% CI: 11%, 77%) and 50% (95% CI: 14%, 71%) decline in PFOA and PFNA levels, respectively, following recommendation of MCLs. There were declines in quarterly trend in PFOS (2%, 95% CI: 0%, 5%) and PFNA levels (6%, 95% CI: 2%, 9%).</div></div><div><h3>Discussion</h3><div>Regulated PFAS levels declined following formal recommendation of MCLs to NJDEP. Actions taken toward establishing regulations to limit drinking water PFAS exposures can achieve substantial reductions.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"209 ","pages":"Article 110179"},"PeriodicalIF":9.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147353186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-03-07DOI: 10.1016/j.envint.2026.110185
Qingyi Lan , Sarah Henderson , Eric Coker , Naman Paul , Stephanie E Cleland , Jessica Evans , Li Chen , Annalise Ferro , Jean-Nicolas Côté , Alana Maltby , Piotr Wilk , Eric Lavigne
Background
With climate change, the frequency and intensity of heatwaves and wildfires are increasing. We examined the independent associations of acute heatwaves and wildfire smoke-impacted particulate matter ≤2.5 µm diameter (PM2.5) with preterm birth outcomes, and their combined effects.
Methods
We conducted a nationwide population-based cohort study of singleton births in Canada (2010–2021). Temperature and PM2.5 exposure during each gestational week were assigned from satellite data and a machine learning-based prediction model, respectively. Heatwaves were defined as 95th or 98th percentile regional weekly temperatures lasting 2–4 days (denoted as 95th-D2/D3/D4, 98th-D2/D3). PM2.5 was categorized by regional percentile bins (≤50th [ref.], 50–75th, 75–90th, >90th) and absolute bins (<6 µg/m3, ≥6–8 µg/m3, ≥8–10 µg/m3, ≥10–12 µg/m3, ≥12–14 µg/m3, ≥14–16 µg/m3, and ≥ 16 µg/m3). Cox models assessed independent effects, and the relative excess risk due to interaction (RERI) assessed combined effects.
Results
Among 2,569,810 singleton births, 80,757 (3.1%) were preterm. Both PM2.5 and heatwaves were independently associated with an increased risk of preterm birth. We observed a synergistic interaction (RERI > 0) between heatwaves and non-wildfire PM2.5 that increased in magnitude with higher concentration percentiles. The magnitude of this interaction increased as the heatwave threshold rose from 95th to 98th percentile, and as the duration increase from 2 to 4 days. Notably, the synergistic risk associated with 95th-D3 heatwaves and moderate (50th–75th) relative concentrations of wildfire smoke-impacted PM2.5 (RERI = 0.35; 95% CI: 0.05, 0.65) was more than double the synergistic risk observed for corresponding moderate non-wildfire PM2.5 (RERI = 0.16; 95% CI: 0.07, 0.25).
Conclusions
Co-exposure to PM2.5 and heatwaves exerts a synergistic effect on preterm birth risk that is significantly amplified when the particulate matter originates from wildfires. These findings highlight the need for early warning systems and public health messaging targeting moderate wildfire smoke events.
{"title":"Heatwaves and PM2.5 from wildfire smoke, non-wildfire sources, and all sources in relation to preterm birth: a nationwide cohort study in Canada","authors":"Qingyi Lan , Sarah Henderson , Eric Coker , Naman Paul , Stephanie E Cleland , Jessica Evans , Li Chen , Annalise Ferro , Jean-Nicolas Côté , Alana Maltby , Piotr Wilk , Eric Lavigne","doi":"10.1016/j.envint.2026.110185","DOIUrl":"10.1016/j.envint.2026.110185","url":null,"abstract":"<div><h3>Background</h3><div>With climate change, the frequency and intensity of heatwaves and wildfires are increasing. We examined the independent associations of acute heatwaves and wildfire smoke-impacted particulate matter ≤2.5 <!--> <!-->µm diameter (PM<sub>2.5</sub>) with preterm birth outcomes, and their combined effects.</div></div><div><h3>Methods</h3><div>We conducted a nationwide population-based cohort study of singleton births in Canada (2010–2021). Temperature and PM<sub>2.5</sub> exposure during each gestational week were assigned from satellite data and a machine learning-based prediction model, respectively. Heatwaves were defined as 95th or 98th percentile regional weekly temperatures lasting 2–4 days (denoted as 95th-D2/D3/D4, 98th-D2/D3). PM<sub>2.5</sub> was categorized by regional percentile bins (≤50<sup>th</sup> [ref.], 50–75th, 75–90th, >90th) and absolute bins (<6 µg/m<sup>3</sup>, ≥6–8 µg/m<sup>3</sup>, ≥8–10 µg/m<sup>3</sup>, ≥10–12 µg/m<sup>3</sup>, ≥12–14 µg/m<sup>3</sup>, ≥14–16 µg/m<sup>3</sup>, and ≥ 16 µg/m<sup>3</sup>). Cox models assessed independent effects, and the relative excess risk due to interaction (RERI) assessed combined effects.</div></div><div><h3>Results</h3><div>Among 2,569,810 singleton births, 80,757 (3.1%) were preterm. Both PM<sub>2.5</sub> and heatwaves were independently associated with an increased risk of preterm birth. We observed a synergistic interaction (RERI > 0) between heatwaves and non-wildfire PM2.5 that increased in magnitude with higher concentration percentiles<sub>.</sub> The magnitude of this interaction increased as the heatwave threshold rose from 95th to 98th percentile, and as the duration increase from 2 to 4 days. Notably, the synergistic risk associated with 95th-D3 heatwaves and moderate (50th–75th) relative concentrations of wildfire smoke-impacted PM<sub>2.5</sub> (RERI = 0.35; 95% CI: 0.05, 0.65) was more than double the synergistic risk observed for corresponding moderate non-wildfire PM<sub>2.5</sub> (RERI = 0.16; 95% CI: 0.07, 0.25).</div></div><div><h3>Conclusions</h3><div>Co-exposure to PM<sub>2.5</sub> and heatwaves exerts a synergistic effect on preterm birth risk that is significantly amplified when the particulate matter originates from wildfires. These findings highlight the need for early warning systems and public health messaging targeting moderate wildfire smoke events.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"209 ","pages":"Article 110185"},"PeriodicalIF":9.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147368226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-02-11DOI: 10.1016/j.envint.2026.110143
Daniel Trejo Banos , Abhishek Upadhyay , Yun Cheng , Jianhui Jiang , Petros Vasilakos , Andrea Nava , Pavol Ševera , Benjamin Flueckiger , Aikaterini Bougiatioti , Ana Maria Sanchez De La Campa Verdona , Andrea Schemmel , Andrés Alastuey , Anikó Vasanits , Anna Font , Anna Tobler , Aude Bourin , Attila Machon , Benjamin Chazeau , Benjamin Bergmans , Célia A. Alves , Imad El Haddad
Organic aerosol (OA) is a major component of atmospheric particulate matter (PM), affecting both human health and climate. However, high-resolution estimates of OA exposure needed for exposure analysis remain scarce. Here, we integrate a chemical transport model (CAMx) with a random forest (RF) machine learning approach to bias-correct and downscale daily OA concentrations across Europe. CAMx OA simulations at ∼15 km resolution show moderate agreement with observations (r = 0.55). By combining these outputs with high-resolution land-use data and training the RF model on ∼48,000 daily OA measurements from 137 sites, prediction accuracy improved (r = 0.65), with ∼l5% reduction in root mean square error. The resulting maps provide European daily OA concentrations at ∼250 m resolution for alternate years from 2011 to 2019. The model captures key spatial features, including elevated OA in the Po Valley, Southeastern, and Central Europe, as well as intracity variations due to local hotspots. Seasonal analysis reveals higher concentrations in winter, while long-term trends indicate a general decline in OA levels. Exposure estimates show that half of the European population experiences OA levels above 3 µg/m3, and ∼50 million people are exposed to more than 5 µg/m3, which is the current guideline level recommended by the world health organization for total PM2.5. These high-resolution OA maps offer vital critical support for epidemiological research and air quality policy.
{"title":"High-resolution modelling of organic aerosol over Europe: exploring spatial and temporal variability and drivers","authors":"Daniel Trejo Banos , Abhishek Upadhyay , Yun Cheng , Jianhui Jiang , Petros Vasilakos , Andrea Nava , Pavol Ševera , Benjamin Flueckiger , Aikaterini Bougiatioti , Ana Maria Sanchez De La Campa Verdona , Andrea Schemmel , Andrés Alastuey , Anikó Vasanits , Anna Font , Anna Tobler , Aude Bourin , Attila Machon , Benjamin Chazeau , Benjamin Bergmans , Célia A. Alves , Imad El Haddad","doi":"10.1016/j.envint.2026.110143","DOIUrl":"10.1016/j.envint.2026.110143","url":null,"abstract":"<div><div>Organic aerosol (OA) is a major component of atmospheric particulate matter (PM), affecting both human health and climate. However, high-resolution estimates of OA exposure needed for exposure analysis remain scarce. Here, we integrate a chemical transport model (CAMx) with a random forest (RF) machine learning approach to bias-correct and downscale daily OA concentrations across Europe. CAMx OA simulations at ∼15 km resolution show moderate agreement with observations (r = 0.55). By combining these outputs with high-resolution land-use data and training the RF model on ∼48,000 daily OA measurements from 137 sites, prediction accuracy improved (r = 0.65), with ∼l5% reduction in root mean square error. The resulting maps provide European daily OA concentrations at ∼250 m resolution for alternate years from 2011 to 2019. The model captures key spatial features, including elevated OA in the Po Valley, Southeastern, and Central Europe, as well as intracity variations due to local hotspots. Seasonal analysis reveals higher concentrations in winter, while long-term trends indicate a general decline in OA levels. Exposure estimates show that half of the European population experiences OA levels above 3 µg/m<sup>3</sup>, and ∼50 million people are exposed to more than 5 µg/m<sup>3</sup>, which is the current guideline level recommended by the world health organization for total PM<sub>2.5</sub>. These high-resolution OA maps offer vital critical support for epidemiological research and air quality policy.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"209 ","pages":"Article 110143"},"PeriodicalIF":9.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-02-14DOI: 10.1016/j.envint.2026.110147
Paige A. Bommarito , Kyla W. Taylor , Andrew A. Rooney , Kezia Addo , Scott S. Auerbach , Robyn B. Blain , Kelly K. Ferguson , Symielle A. Gaston , Samantha M. Hall , Chandra L. Jackson , Courtney Lemeris , Raquel Silva , Wren Tracy , Vickie R. Walker , Kembra L. Howdeshell
Background
Exposure to environmental chemicals can influence fetal growth, and these alterations are associated with adverse health outcomes across the lifespan. Personal care products (PCPs) are frequently used by women of reproductive age, including many chemicals known to adversely impact fetal development. Given the high number of chemicals in PCPs, a class-based approach of grouping these chemicals by common characteristic(s) (e.g., chemical structure, mode of action) may support future hazard identification evaluations.
Objectives
To develop a systematic evidence map (SEM) identifying and characterizing the scientific literature on gestational exposure to PCPs or their chemical constituents and fetal growth to support potential chemical class-based assessments.
Methods
Following standardized systematic review methodology, three databases were searched for relevant human and experimental animal studies through June 2024. Study characteristics were extracted and summarized in interactive visualizations and text.
Results
Of the four main chemical classes assessed, phthalates and phenols were most frequently studied (40% and 30% of studies, respectively), followed by per- and polyfluoroalkyl substances (PFAS), and parabens. Few studies evaluated product use. Birthweight was the most frequently assessed outcome (approximately 99% of studies). Many human studies evaluated potential modifying factors of health (% of studies), such as infant sex (58%), race and ethnicity (7%), and socioeconomic status (1%).
Discussion
Given the availability of well-studied “anchor” chemicals within related chemical groups, this SEM supports the feasibility of class-based approaches to evaluate the association between phthalates, PFAS, phenols, and parabens and fetal growth. Further research on PCPs and fetal growth should address areas of uncertainty, including data gaps on potential effect modifiers, such as socioeconomic status.
{"title":"Systematic evidence map on the association between exposure to personal care products and fetal growth","authors":"Paige A. Bommarito , Kyla W. Taylor , Andrew A. Rooney , Kezia Addo , Scott S. Auerbach , Robyn B. Blain , Kelly K. Ferguson , Symielle A. Gaston , Samantha M. Hall , Chandra L. Jackson , Courtney Lemeris , Raquel Silva , Wren Tracy , Vickie R. Walker , Kembra L. Howdeshell","doi":"10.1016/j.envint.2026.110147","DOIUrl":"10.1016/j.envint.2026.110147","url":null,"abstract":"<div><h3>Background</h3><div>Exposure to environmental chemicals can influence fetal growth, and these alterations are associated with adverse health outcomes across the lifespan. Personal care products (PCPs) are frequently used by women of reproductive age, including many chemicals known to adversely impact fetal development. Given the high number of chemicals in PCPs, a class-based approach of grouping these chemicals by common characteristic(s) (e.g., chemical structure, mode of action) may support future hazard identification evaluations.</div></div><div><h3>Objectives</h3><div>To develop a systematic evidence map (SEM) identifying and characterizing the scientific literature on gestational exposure to PCPs or their chemical constituents and fetal growth to support potential chemical class-based assessments.</div></div><div><h3>Methods</h3><div>Following standardized systematic review methodology, three databases were searched for relevant human and experimental animal studies through June 2024. Study characteristics were extracted and summarized in interactive visualizations and text.</div></div><div><h3>Results</h3><div>Of the four main chemical classes assessed, phthalates and phenols were most frequently studied (40% and 30% of studies, respectively), followed by per- and polyfluoroalkyl substances (PFAS), and parabens. Few studies evaluated product use. Birthweight was the most frequently assessed outcome (approximately 99% of studies). Many human studies evaluated potential modifying factors of health (% of studies), such as infant sex (58%), race and ethnicity (7%), and socioeconomic status (1%).</div></div><div><h3>Discussion</h3><div>Given the availability of well-studied “anchor” chemicals within related chemical groups, this SEM supports the feasibility of class-based approaches to evaluate the association between phthalates, PFAS, phenols, and parabens and fetal growth. Further research on PCPs and fetal growth should address areas of uncertainty, including data gaps on potential effect modifiers, such as socioeconomic status.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"209 ","pages":"Article 110147"},"PeriodicalIF":9.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146210063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-02-21DOI: 10.1016/j.envint.2026.110152
Dirga Kumar Lamichhane , James A. VanDerslice , Fred Lurmann , Nathan R. Pavlovic , Michael J. Staley , Douglas S. Tharp , Alina Peluso , Brandy M. Byrwa-Hill , Yue Zhang , Anna R. Docherty , Hilary Coon , Amanda V. Bakian
Background
Individual components of the ambient environment, such as temperature and air pollution, exist as part of a complex mixture and have been associated with suicide; however, their interactive effects remain poorly understood. This study examined the independent and interactive effects of wet bulb globe temperature (WBGT), nitrogen dioxide (NO2), and fine particulate matter (PM2.5) on suicide mortality.
Methods
We identified 7,551 suicide cases in Utah, USA, from 2000 to 2016 and assigned exposure to daily maximum WBGT (sourced from the European Center for Medium-Range Weather Forecasts) and PM2.5 and NO2 concentrations (sourced from a national spatiotemporal ensemble model) using decedent’s residential address at the time of death. A case-crossover design with conditional logistic regression was used to estimate the independent and interactive effects of WBGTmax, PM2.5, and NO2 on suicide. For exposure windows, we considered single days preceding suicide (lag 0 to 6) and their averages across preceding days (lag 0–1, 0–3, and 0–6). Analyses were stratified by season.
Results
We identified a significant association between WBGTmax and suicide across all seasons (odds ratio [OR] = 1.05, 95% confidence interval [CI]: 1.01, 1.10; per 5 °C increase on lag 0–3 days). The associations were stronger in the warm season (March 22 to September 21), with ORs and 95% CIs ranging from 1.08 (1.02, 1.15) to 1.20 (1.10, 1.30) per 5 °C increase depending on the lag periods. We observed synergistic interactions between WBGTmax and PM2.5 and NO2 in the warm season, associated with higher odds of suicide. The associations of WBGTmax with suicide were most pronounced at high NO2 levels.
Conclusions
We found evidence of synergistic interactions between WBGTmax and PM2.5 and NO2 on suicide in the warm season, emphasizing the need for considering the combined effects of heat stress and air pollution in suicide prevention strategies.
{"title":"Independent and interactive effects of wet bulb globe temperature and air pollution exposures on suicide mortality","authors":"Dirga Kumar Lamichhane , James A. VanDerslice , Fred Lurmann , Nathan R. Pavlovic , Michael J. Staley , Douglas S. Tharp , Alina Peluso , Brandy M. Byrwa-Hill , Yue Zhang , Anna R. Docherty , Hilary Coon , Amanda V. Bakian","doi":"10.1016/j.envint.2026.110152","DOIUrl":"10.1016/j.envint.2026.110152","url":null,"abstract":"<div><h3>Background</h3><div>Individual components of the ambient environment, such as temperature and air pollution, exist as part of a complex mixture and have been associated with suicide; however, their interactive effects remain poorly understood. This study examined the independent and interactive effects of wet bulb globe temperature (WBGT), nitrogen dioxide (NO<sub>2</sub>), and fine particulate matter (PM<sub>2.5</sub>) on suicide mortality.</div></div><div><h3>Methods</h3><div>We identified 7,551 suicide cases in Utah, USA, from 2000 to 2016 and assigned exposure to daily maximum WBGT (sourced from the European Center for Medium-Range Weather Forecasts) and PM<sub>2.5</sub> and NO<sub>2</sub> concentrations (sourced from a national spatiotemporal ensemble model) using decedent’s residential address at the time of death. A case-crossover design with conditional logistic regression was used to estimate the independent and interactive effects of WBGT<sub>max</sub>, PM<sub>2.5</sub>, and NO<sub>2</sub> on suicide. For exposure windows, we considered single days preceding suicide (lag 0 to 6) and their averages across preceding days (lag 0–1, 0–3, and 0–6). Analyses were stratified by season.</div></div><div><h3>Results</h3><div>We identified a significant association between WBGT<sub>max</sub> and suicide across all seasons (odds ratio [OR] = 1.05, 95% confidence interval [CI]: 1.01, 1.10; per 5 °C increase on lag 0–3 days). The associations were stronger in the warm season (March 22 to September 21), with ORs and 95% CIs ranging from 1.08 (1.02, 1.15) to 1.20 (1.10, 1.30) per 5 °C increase depending on the lag periods. We observed synergistic interactions between WBGT<sub>max</sub> and PM<sub>2.5</sub> and NO<sub>2</sub> in the warm season, associated with higher odds of suicide. The associations of WBGT<sub>max</sub> with suicide were most pronounced at high NO<sub>2</sub> levels.</div></div><div><h3>Conclusions</h3><div>We found evidence of synergistic interactions between WBGT<sub>max</sub> and PM<sub>2.5</sub> and NO<sub>2</sub> on suicide in the warm season, emphasizing the need for considering the combined effects of heat stress and air pollution in suicide prevention strategies.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"209 ","pages":"Article 110152"},"PeriodicalIF":9.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146778019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-02-24DOI: 10.1016/j.envint.2026.110168
Sophie MA Effing , Jiawei Zhang , Stéphane Tuffier , Thomas Cole-Hunter , Marie Bergmann , George Maria Napolitano , Rina So , Jørgen Brandt , Matthias Ketzel , Steffen Loft , Jaime E Hart , Youn-Hee Lim , Zorana Jovanovic Andersen
While the association between air pollution and lung cancer is well established, its relationship with post-diagnosis mortality remains limited, especially in low-exposure settings. We investigated the association of long-term exposure to air pollution with 5-year mortality after lung cancer diagnosis in Denmark. In this nested cohort, we included 449 participants from the Danish Nurse Cohort who were diagnosed with lung cancer between their baseline year (1993/1999) and 2020. We estimated mean residential annual concentrations of particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2), elemental carbon (EC), and ozone (O3) using DEHM/UBM/AirGIS. We used time-varying Cox regression models to minimize immortal time bias (ITB), adjusting for age, baseline year, date of diagnosis, time since diagnosis, smoking, socioeconomic factors, and additional lifestyle variables. Of the 449 participants diagnosed with primary lung cancer, 377 died within 5 years after diagnosis. Hazard ratios (HRs) per interquartile range increase in 5-year moving average exposures were 0.99 (95% CI: 0.71–1.39) for PM2.5, 0.93 (0.71–1.22) for PM10, 0.99 (0.84–1.17) for NO2, 0.95 (0.82–1.09) for EC, and 1.04 (0.89–1.22) for O3 in the fully adjusted model. A methodological comparison demonstrated that time-fixed exposure averaging substantially overestimated associations (PM2.5: HR 3.00 vs. 0.99), confirming the importance of time-varying approaches to avoid ITB. We found no association between long-term air pollution exposure and 5-year mortality in Danish female nurses diagnosed with lung cancer. Our study provides valuable evidence on this scarcely researched topic and highlights the critical methodological consideration of ITB in survival analyses with time-varying environmental exposures.
{"title":"Long-term exposure to air pollution and 5-year mortality after lung cancer diagnosis: a Danish nurse cohort study","authors":"Sophie MA Effing , Jiawei Zhang , Stéphane Tuffier , Thomas Cole-Hunter , Marie Bergmann , George Maria Napolitano , Rina So , Jørgen Brandt , Matthias Ketzel , Steffen Loft , Jaime E Hart , Youn-Hee Lim , Zorana Jovanovic Andersen","doi":"10.1016/j.envint.2026.110168","DOIUrl":"10.1016/j.envint.2026.110168","url":null,"abstract":"<div><div>While the association between air pollution and lung cancer is well established, its relationship with post-diagnosis mortality remains limited, especially in low-exposure settings. We investigated the association of long-term exposure to air pollution with 5-year mortality after lung cancer diagnosis in Denmark. In this nested cohort, we included 449 participants from the Danish Nurse Cohort who were diagnosed with lung cancer between their baseline year (1993/1999) and 2020. We estimated mean residential annual concentrations of particulate matter (PM<sub>2.5</sub> and PM<sub>10</sub>), nitrogen dioxide (NO<sub>2</sub>), elemental carbon (EC), and ozone (O<sub>3</sub>) using DEHM/UBM/AirGIS. We used time-varying Cox regression models to minimize immortal time bias (ITB), adjusting for age, baseline year, date of diagnosis, time since diagnosis, smoking, socioeconomic factors, and additional lifestyle variables. Of the 449 participants diagnosed with primary lung cancer, 377 died within 5 years after diagnosis. Hazard ratios (HRs) per interquartile range increase in 5-year moving average exposures were 0.99 (95% CI: 0.71–1.39) for PM<sub>2.5</sub>, 0.93 (0.71–1.22) for PM<sub>10</sub>, 0.99 (0.84–1.17) for NO<sub>2</sub>, 0.95 (0.82–1.09) for EC, and 1.04 (0.89–1.22) for O<sub>3</sub> in the fully adjusted model. A methodological comparison demonstrated that time-fixed exposure averaging substantially overestimated associations (PM<sub>2.5</sub>: HR 3.00 vs. 0.99), confirming the importance of time-varying approaches to avoid ITB. We found no association between long-term air pollution exposure and 5-year mortality in Danish female nurses diagnosed with lung cancer. Our study provides valuable evidence on this scarcely researched topic and highlights the critical methodological consideration of ITB in survival analyses with time-varying environmental exposures.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"209 ","pages":"Article 110168"},"PeriodicalIF":9.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147279707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-02-28DOI: 10.1016/j.envint.2026.110167
Hye-Shin Kim , Seohyun Yoo , Joonseo Hyeon, Jaehyuk Cho
Indoor air quality (IAQ) represents a complex interplay of exposures that single-pollutant studies often fail to capture. Identifying holistic exposure profiles is critical for understanding health risks in populations spending the majority of their time indoors. We integrated high-resolution environmental sensor data with demographic and behavioral metadata from residential testbeds. To handle the high-dimensional, heterogeneous data, we first engineered temporal and health-relevant categorical variables. We then applied Factor Analysis of Mixed Data (FAMD) followed by Uniform Manifold Approximation and Projection (UMAP) for dimensionality reduction. On this reduced feature space, we employed Torque clustering, a parameter-free algorithm, to identify stable exposure patterns. The resulting profiles were characterized using heatmaps and Z-score-based radar charts, and statistically validated through odds ratio (OR) analysis. The analysis identified six stable and distinct exposure profiles that remained consistent across different time periods. Key profiles included an acoustic-dominated group (Cluster 0), hot-and-humid physical environment groups (Clusters 1 & 2), and chemical-dominant groups (Clusters 4 & 5), all compared against a low-exposure reference group (Cluster 3). Specifically, Cluster 2, characterized by an older adult demographic, represented a ’multi-hazard’ group with the highest relative risk for adverse TVOCs levels (OR ≈ 50). These profiles were significantly associated with demographic and behavioral factors, including age, housing type, and gas stove use. This study demonstrates that unsupervised clustering can systematically stratify heterogeneous indoor exposures into robust, interpretable profiles. By moving beyond single-pollutant assessment, this data-driven approach provides a powerful framework for precision environmental health strategies by enabling cluster-specific risk stratification and targeted interventions.
{"title":"Unmasking indoor exposure profiles in vulnerable households: an unsupervised clustering of integrated environmental and demographic data","authors":"Hye-Shin Kim , Seohyun Yoo , Joonseo Hyeon, Jaehyuk Cho","doi":"10.1016/j.envint.2026.110167","DOIUrl":"10.1016/j.envint.2026.110167","url":null,"abstract":"<div><div>Indoor air quality (IAQ) represents a complex interplay of exposures that single-pollutant studies often fail to capture. Identifying holistic exposure profiles is critical for understanding health risks in populations spending the majority of their time indoors. We integrated high-resolution environmental sensor data with demographic and behavioral metadata from residential testbeds. To handle the high-dimensional, heterogeneous data, we first engineered temporal and health-relevant categorical variables. We then applied Factor Analysis of Mixed Data (FAMD) followed by Uniform Manifold Approximation and Projection (UMAP) for dimensionality reduction. On this reduced feature space, we employed Torque clustering, a parameter-free algorithm, to identify stable exposure patterns. The resulting profiles were characterized using heatmaps and Z-score-based radar charts, and statistically validated through odds ratio (OR) analysis. The analysis identified six stable and distinct exposure profiles that remained consistent across different time periods. Key profiles included an acoustic-dominated group (Cluster 0), hot-and-humid physical environment groups (Clusters 1 & 2), and chemical-dominant groups (Clusters 4 & 5), all compared against a low-exposure reference group (Cluster 3). Specifically, Cluster 2, characterized by an older adult demographic, represented a ’multi-hazard’ group with the highest relative risk for adverse TVOCs levels (OR ≈ 50). These profiles were significantly associated with demographic and behavioral factors, including age, housing type, and gas stove use. This study demonstrates that unsupervised clustering can systematically stratify heterogeneous indoor exposures into robust, interpretable profiles. By moving beyond single-pollutant assessment, this data-driven approach provides a powerful framework for precision environmental health strategies by enabling cluster-specific risk stratification and targeted interventions.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"209 ","pages":"Article 110167"},"PeriodicalIF":9.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147329878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-03-04DOI: 10.1016/j.envint.2026.110182
Xu Li , Ze Sun , Lizhou Lin , Tongchu Deng , Meiying Xu
Electroactive biofilms with the capacity of extracellular electron transfer (EET) have shown great promise for mitigating antibiotics and antibiotic resistance genes (ARGs). However, detailed interactions between antibiotics and electroactive microorganisms, along with ARGs dissemination dynamics within the electroactive consortia, remained poorly understood. In this study, stable electroactive microbial consortia were enriched, and their influences on the fates of sulfamethoxazole (SMX) and associated ARGs were systematically investigated. The results showed the enriched consortia could degrade SMX effectively within a wide concentration range through co-metabolism which was stimulated by their electrogenic respiration. Moreover, with accelerated SMX removal, the abundances of associated ARGs including sul1 and sul2 in the consortia decreased significantly due to alleviated SMX-induced selective pressure and probably weakened horizontal gene transfer mediated by mobile genetic elements (e.g., IS91 and tnpA). Degrader isolation and metagenomic analysis identified the core EET-proficient genera (e.g., Geobacter and Alcaligenes) as essential for the accelerated co-metabolism biodegradation of SMX, whereas the proliferation of other bacteria with limited or no EET capacity (e.g., Hydrogenophaga, Burkholderia, Comamonas, Desulfovibrio and Pseudomonas) was closely linked to the ARGs dissemination. This work provides a mechanistic elucidation of how electroactive microbial consortia stimulate antibiotic degradation and attenuate ARGs proliferation, offering strategic insights for risk control of the resistome during wastewater treatment.
{"title":"Attenuation of sulfamethoxazole and associated antimicrobial resistome by enriched electroactive microbial consortia","authors":"Xu Li , Ze Sun , Lizhou Lin , Tongchu Deng , Meiying Xu","doi":"10.1016/j.envint.2026.110182","DOIUrl":"10.1016/j.envint.2026.110182","url":null,"abstract":"<div><div>Electroactive biofilms with the capacity of extracellular electron transfer (EET) have shown great promise for mitigating antibiotics and antibiotic resistance genes (ARGs). However, detailed interactions between antibiotics and electroactive microorganisms, along with ARGs dissemination dynamics within the electroactive consortia, remained poorly understood. In this study, stable electroactive microbial consortia were enriched, and their influences on the fates of sulfamethoxazole (SMX) and associated ARGs were systematically investigated. The results showed the enriched consortia could degrade SMX effectively within a wide concentration range through co-metabolism which was stimulated by their electrogenic respiration. Moreover, with accelerated SMX removal, the abundances of associated ARGs including <em>sul1</em> and <em>sul2</em> in the consortia decreased significantly due to alleviated SMX-induced selective pressure and probably weakened horizontal gene transfer mediated by mobile genetic elements (e.g., <em>IS91</em> and <em>tnpA</em>). Degrader isolation and metagenomic analysis identified the core EET-proficient genera (e.g., <em>Geobacter</em> and <em>Alcaligenes</em>) as essential for the accelerated co-metabolism biodegradation of SMX, whereas the proliferation of other bacteria with limited or no EET capacity (e.g., <em>Hydrogenophaga</em>, <em>Burkholderia</em>, <em>Comamona</em>s, <em>Desulfovibrio</em> and <em>Pseudomonas</em>) was closely linked to the ARGs dissemination. This work provides a mechanistic elucidation of how electroactive microbial consortia stimulate antibiotic degradation and attenuate ARGs proliferation, offering strategic insights for risk control of the resistome during wastewater treatment.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"209 ","pages":"Article 110182"},"PeriodicalIF":9.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147359780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-03-04DOI: 10.1016/j.envint.2026.110173
Nicole C. Deziel , Michelle L. Bell
{"title":"Unequal exposures, unequal attention: advancing environmental health research in rural areas","authors":"Nicole C. Deziel , Michelle L. Bell","doi":"10.1016/j.envint.2026.110173","DOIUrl":"10.1016/j.envint.2026.110173","url":null,"abstract":"","PeriodicalId":308,"journal":{"name":"Environment International","volume":"209 ","pages":"Article 110173"},"PeriodicalIF":9.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147360664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}