Journal of Exposure Science and Environmental Epidemiology最新文献

{"title":"Physiologically-relevant light exposure and light behaviour in Switzerland and Malaysia","authors":"Anna M. Biller, Johannes Zauner, Christian Cajochen, Marisa A. Gerle, Vineetha Kalavally, Anas Mohamed, Lukas Rottländer, Ming-Yi Seah, Oliver Stefani, Manuel Spitschan","doi":"10.1038/s41370-025-00825-8","DOIUrl":"10.1038/s41370-025-00825-8","url":null,"abstract":"Light synchronises the internal clock with the external light-dark cycle. Keeping this alignment benefits health and prevents diseases. Quantifying light exposure is, therefore, vital for effective prevention. Since light exposure depends on photoperiod, culture, and behaviour, we investigated objective light exposure and individual light-related behaviour in Switzerland and Malaysia. In this observational field study, participants (N = 39) wore a calibrated melanopic light logger at chest level for 30 consecutive days. At baseline and study end, the Pittsburgh Sleep Quality Index was assessed, and every 3 to 4 days, the Light Exposure Behaviour Assessment (LEBA) was filled. Our pre-registered analyses reveal that participants in Switzerland experienced brighter days (+3.16 times the average mel EDI) and spent more time (x1.9 times the duration) in daylight levels per hour of daylight, had ~1.5 h later bright light exposure in the afternoon, and stayed over 1 h longer in dim light conditions before bedtime. LEBA scores did not differ between Malaysia and Switzerland, and LEBA items were stable over time. LEBA items also correlated with objective light exposure variables in Switzerland but not Malaysia, with a medium effect size (range of absolute r = 0.32–0.48). Our results highlight cultural and geographical differences in light exposure. We showed that subjective assessment of light-exposure behaviour can be related to actual light exposure and is ecologically informative, but this varies by culture.","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":"36 2","pages":"409-422"},"PeriodicalIF":4.7,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s41370-025-00825-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145673390","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":"Using colorimetric wipes to characterize lead surface levels in lead-exposed construction workers’ homes and vehicles","authors":"Diana M. Ceballos, Yuxin Wu, Maria Bermudez, Jonathan I. Levy, Noah A. Buncher, Nicholas T. Basta, M. Pilar Botana Martinez, Junenette L. Peters","doi":"10.1038/s41370-025-00818-7","DOIUrl":"10.1038/s41370-025-00818-7","url":null,"abstract":"Lead home investigations following the confirmation of a lead-poisoned child in the home require a lead-certified technician using an X-ray-fluorescence (XRF) portable analyzer, but XRFs are not always available. Colorimetric surface wipes that immediately change color on a gradient from yellow-to-red with lead could address this gap, but they have not been tested or utilized extensively in non-occupational settings. To understand the usability of colorimetric wipes in lead home investigations with different potential sources of lead. We collected 104 colorimetric wipes to assess lead levels on surfaces from nine homes and seven vehicles from lead-exposed construction workers living with children. Colorimetric wipe results (n = 81) were compared with inductively coupled plasma optical emission spectroscopy laboratory analysis. Lead was detected on 46(58%) of home surface wipes, with highest percentage of red wipes from surfaces in kitchen, followed by entrance, living room, bedroom, and laundry room samples. For vehicle surface wipes, 17 (71%) detected lead, with the highest percent of red wipes in the trunk, followed by back and front seat areas. Wipe color readings were significantly and positively correlated with laboratory analysis (Kendall’s τ = 0.42). At the 18 μg/sample threshold (i.e., level at which the wipe is expected to turn pink/red), the method showed high specificity (87%), moderate accuracy (78%), high negative predictive value (87%), and low false positive rate (13%). Of the wipes above 10 µg/sample public-health lead guideline, 80% changed color, suggesting high sensitivity.","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":"36 2","pages":"300-310"},"PeriodicalIF":4.7,"publicationDate":"2025-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145582804","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":"Environmental factors influencing hormone receptor positive breast cancer incidence: integrating chemical signatures from dust wipes with self-reported sources of exposure","authors":"Lauren E. Koval, Yun-Chung Hsiao, Ellie Jiang, Lauren Eaves, Dale P. Sandler, Hazel B. Nichols, Kun Lu, Alexandra J. White, Julia E. Rager","doi":"10.1038/s41370-025-00819-6","DOIUrl":"10.1038/s41370-025-00819-6","url":null,"abstract":"Breast cancer is a highly prevalent disease. Chemical exposures may contribute to breast cancer risk, though most chemicals to which humans are exposed remain understudied in breast cancer research. This study tested the hypothesis that environmental chemicals present in households of women who do and do not develop breast cancer will have differential abundance, and that chemical profiles relate to self-reported sources of exposures. Household dust wipe samples were collected at enrollment in the Sister Study cohort in 2003–2009. We evaluated a subsample of Sister Study participants who developed hormone receptor positive breast cancer within 10 years after enrollment (N = 40, “cases”) and who remained breast cancer free during the same period (N = 40, “controls”). Dust wipes were analyzed via liquid chromatography with tandem mass spectrometry coupled with database mining approaches. Participants self-reported personal care product usage and proximity to environmental pollution sources. Frequent itemset mining (FIM) was used to evaluate chemical occurrence and associations with questionnaire data. In the dust wipe samples, there were 189 features annotated to potential chemicals that significantly differed (adjusted p < 0.1) in abundance between cases and controls. Example chemicals included suspected endocrine disruptors 23-(Nonylphenoxy)-3,6,9,12,15,18,21-heptaoxatricosan-1-ol, triethanolamine, and thiabendazole. Analysis of questionnaire data identified the chemical 6-benzyl-2-[bis[(2S)-2-aminopropanoyl]amino]-3-methylphenyl] (2S)-2-[[(2S)-2-(3-hydroxyhexanoylamino)-3-methylbutanoyl]amino]-3-methylbutanoate to be of high interest due to its link, derived through FIM, to 45 exposure scenarios, largely described by elevated personal care product usage habits. Overall, this study builds the evidence base for understudied chemicals in everyday household environments that may alter breast cancer risk. Coupling chemical analysis results with participant survey data highlighted behaviors and environmental factors that may influence exposures to these chemicals, informing the design of future investigations to better understand sources of breast cancer risk in women.","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":"36 2","pages":"288-299"},"PeriodicalIF":4.7,"publicationDate":"2025-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145575182","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":"Uncovering the connection: ethylene exposure and endogenous ethylene oxide levels in humans","authors":"Yu-Sheng Lin, Kristina A. Thayer, Paul White, Viktor Morozov, Amanda S. Persad","doi":"10.1038/s41370-025-00826-7","DOIUrl":"10.1038/s41370-025-00826-7","url":null,"abstract":"Ethylene oxide (EtO) is a known carcinogen, with general population exposure primarily from air pollution and smoking. EtO can also form internally via ethylene (ET) oxidation, which originates from both environmental sources and endogenous processes like lipid peroxidation. This has raised questions about ET exposure as a primary source of endogenous EtO, though quantitative evidence remains limited. To investigate the impact of total ET exposure—external and internal—on endogenous EtO in non-smoking and non-occupational populations (“non-exposed”). Literature and pharmacokinetic analyses were conducted to assess the evidence on ET exposure and associated EtO levels. Since most ET is exhaled unmetabolized, breath analysis provides the best estimate of total ET exposure. Two pharmacokinetic approaches were utilized to link ET exposure and EtO body burden. Circulating EtO was evaluated by its hemoglobin adducts, [N-(2-hydroxyethyl)valine or HEV], a method commonly applied in high-exposure contexts, but its application is less certain for background exposure. The literature review indicated that exhaled ET concentrations varied among identified studies with a median of 12 ppb (range: 0.2–740 ppb). Across studies of purified air conditions, exhaled ET concentrations were lower (0.2–1.2 ppb), suggesting limited internal ET contribution. In an ET- and EtO-free environment, the pharmacokinetic models predict that <1–2 ppb exhaled ET can arise from internal ET sources in 70-kg adults. With a nominal ambient ET exposure (15 ppb), predicted exhaled ET reaches 16 ppb, aligned with the literature. In the same exposure conditions, less than 3.5 pmol HEV/g globin—under 20% of background HEV (approximately 20 pmol/g globin) observed in non-exposed populations—can be attributed to ET-derived EtO, suggesting unidentified HEV sources. This analysis shows that endogenous EtO arising from ET exposures appears much lower than previously suggested in “non-exposed” populations. Given EtO’s carcinogenic potential, further research, including methodology enhancement, is warranted.","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":"36 2","pages":"361-374"},"PeriodicalIF":4.7,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145566954","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":"A characterization of infants’ and children’s time-activity patterns for use in soil and dust exposure estimation","authors":"Sara N. Lupolt, Lacey Etzkorn, Christina Huynh, Lesliam Quirós-Alcala, Erin DeMicco, Tracey J. Woodruff, Kristin Voegtline, Keeve E. Nachman","doi":"10.1038/s41370-025-00824-9","DOIUrl":"10.1038/s41370-025-00824-9","url":null,"abstract":"Time-activity pattern data are components of EPA’s efforts to develop soil and dust ingestion rate recommendations for use in risk assessment. The existing database of activity pattern data used for this purpose is comprised mostly of studies designed to estimate exposure to air pollution that are decades old, limiting their applicability to estimating soil and dust ingestion. We aimed to generate novel time-activity pattern data germane to soil and dust ingestion for children aged 6 months to 6 years. We explore potential differences in key exposure factors by child age, sex, motor development, season, and day of the week, and we compare our estimates to the USEPA’s Exposure Factors Handbook (EFH) recommendations. Caregivers completed hourly time-activity surveys on one weekday and one weekend day in each season across one calendar year. We collected data on four microenvironments, seven activities, and several play-related parameters specific to soil and dust exposure. We assessed differences in time spent and engaged in these microenvironments and activities across day of the week, season, and calendar and developmental lifestage using clustered bootstrapping. We collected 1010 participant-days of time-activity pattern data representing 242 children <6 years. Children spent most of their day indoors either sleeping (51%) or playing (17%), and we observed notable differences in activity patterns across days and ages. On 97% of participant-days, children played with mean = 45 hard toys/day, while on 83% of participant-days, children played with a mean 13 soft toys/day. Comfort object use was more prevalent than pacifier use across all age groups and highest (mean = 136 minutes/day) among 2 to < 3-year-olds. Pacifier use was rarely observed among children >3 years.","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":"36 2","pages":"276-287"},"PeriodicalIF":4.7,"publicationDate":"2025-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145558926","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":"Characterizing variability in personal chemical exposure to improve exposomics","authors":"Lisa M. Bramer, Holly M. Dixon, Alison E. Clark, Diana Rohlman, Katrina M. Waters, Kim A. Anderson","doi":"10.1038/s41370-025-00822-x","DOIUrl":"10.1038/s41370-025-00822-x","url":null,"abstract":"Understanding how chemical exposure varies within and between people over time is a critical component of characterizing the exposome—the totality of lifetime exposures. However, variability remains an understudied aspect of exposomic research. Our objective was to investigate trends in variability for chemical exposure data between and within people that appear across differing study designs. Thirty-five people in Eugene, Oregon, and 46 people in St. Helens, Oregon, wore silicone wristbands over multiple seasons, including a span of heavy wildfire smoke in Eugene. Each participant wore between four and 14 wristbands. We analyzed 586 wristbands for 94 (Eugene) and 58 (St. Helens) chemicals. While analytic tests differed between the studies, the same 43 polycyclic aromatic hydrocarbons (PAHs) were measured in both studies. We also evaluated three environmental variables for their impact on chemical concentrations. We fit generalized mixed effects models to each chemical, and used variance partitioning to understand and quantify sources of variability across environmental factors and inter- and intra-individual variables. We observed PAHs that were consistent within people across different days. For a subset of these PAHs, results did not agree well between studies, indicating the importance of measuring chemical data at different time points across studies. Environmental variables were not sufficient for explaining data variability for most chemicals. Only 21% and 30% of the modeled chemicals for Eugene and St. Helens, respectively, had a combined environmental variable R2 at or above 0.1. Yet, environmental factors still revealed valuable information; we observed higher combined R2 values for styrene, o-xylene, ethylbenzene, and phenanthrene in the Eugene detection model, which came from a combination of fine particulate matter and smoke density information.","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":"36 2","pages":"221-230"},"PeriodicalIF":4.7,"publicationDate":"2025-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12826124/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145544881","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":"The risk of NTM pulmonary infection associated with trace metal exposure from public distribution system water in the United States","authors":"Ettie M. Lipner, Collin Powell, Stephen Nelson, Jonathan R. Fintzi, Joshua P. French, Rachel A. Mercaldo, Joseph O. Falkinham III, D. Rebecca Prevots","doi":"10.1038/s41370-025-00807-w","DOIUrl":"10.1038/s41370-025-00807-w","url":null,"abstract":"The prevalence of nontuberculous mycobacterial (NTM) pulmonary infection (NTM PI) varies geographically in the United States (US). Previous studies indicate that trace metals in environmental source water increase NTM PI risk. To examine the effect of trace metals, chromium (Cr), cobalt (Co), molybdenum (Mo), strontium (Sr), and vanadium (V) in public distribution system water on NTM PI risk among susceptible persons in the US. We studied NTM PI risk as a function of trace metal exposure from public distribution system water in two US patient populations: (1) The Cystic Fibrosis Foundation Patient Registry. (2) The Centers for Medicare and Medicaid Services. Patient data were extracted for the period 2010–2019. We obtained data on trace metal concentrations from the US Environmental Protection Agency, Third Unregulated Contaminant Monitoring Rule dataset. We used logistic and negative binomial generalized linear models to estimate NTM PI risk as a function of trace metal exposure in treated drinking water at the county level. Our models were adjusted for patient demographics, source water type, climate variables, and the type of disinfectant used. Our cystic fibrosis (CF) population comprised 14,251 persons with CF, including 4020 NTM cases and 10,231 controls. Our Medicare population comprised 27,146,753 beneficiaries, including 84,075 NTM cases. In the Medicare analysis, V was associated with increased NTM PI risk in the Midwest, South, and West, while Mo increased NTM PI risk in the West. In the CF analysis, V increased NTM PI risk in the South, while Mo was associated with increased NTM PI risk in the West. In both the CF and Medicare populations, using chloramine as a disinfectant significantly increased NTM PI risk. Mo and V in treated water was associated with increased risk among persons susceptible to NTM PI. The effect of trace metals varies by geographic region","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":"36 2","pages":"375-385"},"PeriodicalIF":4.7,"publicationDate":"2025-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s41370-025-00807-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145534069","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":"Organophosphate ester flame retardants and plasticizers in house dust and Child Behavior Checklist outcomes: A nested study in the Canadian CHILD Birth Cohort","authors":"Stephanie A. Foster, Molly L. Kile, Perry Hystad, Miriam L. Diamond, Piush J. Mandhane, Theo J. Moraes, Jacqueline Pei, James A. Scott, Elinor Simons, Padmaja Subbarao, Tim K. Takaro, Sukhpreet K. Tamana, Stuart E. Turvey, Jeffrey R. Brook","doi":"10.1038/s41370-025-00821-y","DOIUrl":"10.1038/s41370-025-00821-y","url":null,"abstract":"Organophosphate esters and plasticizers (OPEs) are used in consumer materials to meet flammability standards. Toxicological and epidemiological evidence suggests some OPEs are developmental neurotoxicants. We investigated associations between OPE exposures as measured in house dust and emotional and behavioral problems in young children. We used data from the CHILD Cohort Study (n = 601), a prospective birth cohort recruited in 5 cities across Canada (2008-2012). OPEs were measured in house dust at 3-4 months postpartum, and parents completed the Child Behavior Checklist (CBCL), which measures emotional and behavioral problems when their child was 5 years. We used logistic regression to examine associations between OPE Z-scores (individual and summed chlorinated [ΣOPECl] and non-chlorinated [ΣOPENCl]) and CBCL problem scale scores (borderline and clinical T-scores ≥60 and normal <60). Tris(2-chloroethyl) phosphate (TCEP) showed strong, positive associations with CBCL Total and Externalizing scores at or above the clinical cutoff, meaning children with higher levels of TCEP in house dust postpartum had higher odds of developing clinically relevant behavioral problems in early childhood compared to children with lower levels (Total ORadj: 1.37, 95% CI: 1.01, 1.87; Externalizing ORadj: 1.36, 95% CI: 1.00, 1.85). Similarly, 4-isopropylphenyl diphenyl phosphate, a Firemaster 550 component, had a strong, positive association with Internalizing scores (ORadj: 1.24, 95% CI: 1.02, 1.51). We observed a weak association between ΣOPECl and Total scores (Odds Ratio [OR] adjusted: 1.14, 95% Confidence Intervals [CI]: 0.97, 1.33) and null associations for ΣOPENCl. Associations were generally stronger among boys (ΣOPECl Total ORadj: 1.31, 95% CI: 1.02, 1.68).","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":"36 2","pages":"322-333"},"PeriodicalIF":4.7,"publicationDate":"2025-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145472000","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":"Mobility-driven estimate reveals elevated air pollution exposure and socioeconomic disparities beyond residence-based approaches in Boston","authors":"Nail F. Bashan, Yang Zhang, Michelle L. Bell, Qi R. Wang","doi":"10.1038/s41370-025-00820-z","DOIUrl":"10.1038/s41370-025-00820-z","url":null,"abstract":"Residence-based air pollution exposure assessments ignore daily human mobility and may misrepresent exposure levels and disparities across population groups. We hypothesize that incorporating high-resolution mobility trajectories into exposure modeling will reveal higher average PM2.5 exposures and uncover sociodemographic disparities that traditional residence-based methods underestimate or conceal. We analyzed 155,000 trip records from 990 Boston-area participants (June–December 2023) collected via smartphone GPS, linked to PM2.5 measurements from 294 calibrated PurpleAir air quality sensors collected at 2-min intervals. For each stay location, we computed a daily adjusted exposure as the average PM2.5 within a 4 km buffer minus the region’s daily average. We compared these mobility-informed exposures to home-based estimates, assessed temporal (weekday vs. weekend, peak vs. off-peak) and spatial variability (Moran’s I), and used weighted least squares regressions and t-tests to evaluate differences across race, income, education, age, and occupation. Mobility-informed exposures averaged 0.10 µg/m3 higher than residence-based estimates on weekdays (up to 0.45 µg/m3 on high-pollution days). Employed and higher-income individuals, as well as White participants, experienced significantly elevated exposures during peak travel hours (up to +0.30 µg/m3; p < 0.01). Spatial clustering of mobility exposures was stronger on weekdays (Moran’s I = 0.4) than weekends (I = 0.2), and regression coefficients confirmed systematic underestimation by traditional methods. These findings demonstrate that neglecting mobility systematically underestimates exposure levels and obscures environmental injustices. Integrating dynamic mobility data with hyperlocal air quality monitoring provides a refined framework for accurate exposure assessment, informing equitable public health policies and targeted interventions.","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":"36 2","pages":"267-275"},"PeriodicalIF":4.7,"publicationDate":"2025-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s41370-025-00820-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145472674","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":"Proceedings of the International Society of Exposure Science Annual Meeting 2024—exposures that impact health in vulnerable populations","authors":"Marc-André Verner, Jonathan Thornburg, Ana María Rule","doi":"10.1038/s41370-025-00812-z","DOIUrl":"10.1038/s41370-025-00812-z","url":null,"abstract":"","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":"36 3","pages":"615-615"},"PeriodicalIF":4.7,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s41370-025-00812-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145440400","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}