Current Environmental Health Reports最新文献

{"title":"Letter to the Editor Regarding the Article \"Open Air Quality Data Platforms for Environmental Health Research and Action\".","authors":"Fernando Rafael de Moura, Dayane Florentino Ferreira de Moura, Ronan Adler Tavella, Flavio Manoel Rodrigues da Silva Júnior","doi":"10.1007/s40572-025-00511-9","DOIUrl":"10.1007/s40572-025-00511-9","url":null,"abstract":"","PeriodicalId":10775,"journal":{"name":"Current Environmental Health Reports","volume":"12 1","pages":"42"},"PeriodicalIF":7.9,"publicationDate":"2025-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145457640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mortality Related to Climate Change and Environmental Hazards in the Mediterranean Region: A Scoping Review.","authors":"Mouaad Adarbaz, Kenza Khomsi, Wael K Al-Delaimy, Myriam Mrad, Fayez Abdulla, Mohamed Khalis","doi":"10.1007/s40572-025-00509-3","DOIUrl":"10.1007/s40572-025-00509-3","url":null,"abstract":"<p><strong>Purpose of review: </strong>This scoping review aimed to map the scientific literature on mortality related to climate change and environmental manifestations in the Mediterranean region, explore the different methodological approaches used, identify research gaps, and suggest future research directions. This scoping review was conducted following the Joanna Briggs Institute (JBI) recommendations and the Preferred Reporting Items for Scoping Reviews (PRISMA-ScR). We included articles that examined the association between floods, wildfires, Saharan dust outbreaks, particulate matter (PM), urban heat islands (UHI), compound effects, and mortality.</p><p><strong>Recent findings: </strong>Most studies have been conducted in Euro-Mediterranean countries, with limited studies in the remaining Mediterranean countries. Regression analysis and descriptive designs predominated, while spatial and mixed-methods designs were less frequently used. Flood mortality rates were higher in northeastern Spain, southern France, and northern Italy. The primary cause of flood mortality was drowning, with a seasonal west-east gradient. Furthermore, lagged exposure to PM₁₀ and PM_2.5 from wildfires was associated with cardiovascular and respiratory mortality in most countries. Additionally, Saharan dust exposure was associated with total and respiratory mortality, especially during dust intrusion days. Likewise, Ozone exposure was principally associated with total and cardiovascular mortality. Furthermore, PM₁₀ and ozone increased heat mortality when compounding in most of the studied Euro-Mediterranean cities. Our results showed substantial variability in mortality rates and causes associated with different climate change and environmental manifestations across the Mediterranean region. These findings highlight the urgent need for standardized and high-resolution mortality data to assess the health impacts of these hazards in understudied countries where health reporting is scarce.</p>","PeriodicalId":10775,"journal":{"name":"Current Environmental Health Reports","volume":"12 1","pages":"41"},"PeriodicalIF":7.9,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13374533/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145444160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of Methods for Analyzing Environmental Mixtures Effects on Survival Outcomes.","authors":"Melanie N Mayer, Arce Domingo-Relloso, Marianthi-Anna Kioumourtzoglou, Ana Navas-Acien, Brent A Coull, Linda Valeri","doi":"10.1007/s40572-025-00500-y","DOIUrl":"10.1007/s40572-025-00500-y","url":null,"abstract":"<p><strong>Purpose of review: </strong>Estimating the effect of environmental mixtures on survival outcomes is common in epidemiological studies, yet the applicability and performance of advanced mixture modeling methods in this context remains underexplored. In this review, we identify available methods for this context and evaluate their performance via simulations.</p><p><strong>Recent findings: </strong>We compared five methods - Cox Proportional Hazards (with/without penalized splines), Cox Elastic Net, Bayesian Additive Regression Trees (BART), and Multivariate Adaptive Regression Splines (MARS). Simulations showed log-linear models achieved low coverage when estimating individual exposure and mixture effects, especially under high exposure correlations and proportional hazards violations. More flexible models exhibited higher variability but improved coverage in effect estimation. While flexible models were better able to estimate mixture effect on survival outcomes compared to more constrained models for most simulation scenarios, they still introduced bias and often had high variability. Given real-world constraints like limited sample sizes and high censoring, there likely remains significant complexities for the application of flexible modeling for environmental mixtures for the survival analysis contexts. We recommend evaluating if findings are consistent across methods.</p>","PeriodicalId":10775,"journal":{"name":"Current Environmental Health Reports","volume":"12 1","pages":"40"},"PeriodicalIF":7.9,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12578748/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145421330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Springer Open Access Publication Current Environmental Health Report Social Equity in True Cost Accounting of Food.","authors":"Nadia El-Hage Scialabba, Kathleen Merrigan, Carl Obst, Olivia Riemer, Laurence Jeangros, Alexander Mueller","doi":"10.1007/s40572-025-00503-9","DOIUrl":"10.1007/s40572-025-00503-9","url":null,"abstract":"<p><p>PURPOSE OF THE REVIEW: This review examines how equity-related issues are addressed in the frameworks and guidelines of True-Cost Accounting (TCA). It analyzes the methods used to measure and value (in)equity in the agrifood sector. It identifies gaps and shortcomings and offers preliminary suggestions to advance the integration of equity considerations in future applications of TCA. RECENT FINDINGS: Societal expectations on human rights and ethical conduct in food production and consumption remain only half met by companies’ ESG practices worldwide. TCA, being a child of sustainability reporting, faces additional challenges in capturing multiple equity-related values. Incorporating equity indicators within TCA provides critical information to guide investments and policy development. For comprehensive situational analysis, suitable statistics, indicators, and aggregate indices are needed to assess equity-related outcomes. TCA needs to incorporate equity indicators under the social capital pillar, ensuring they are customized to different social groups and linked to rights-based indicators. </p>","PeriodicalId":10775,"journal":{"name":"Current Environmental Health Reports","volume":"12 1","pages":"39"},"PeriodicalIF":7.9,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12572002/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145400119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative Health Impact Assessment of Environmental Exposures Linked to Urban Transport and Land Use in Europe: State of Research and Research Agenda.","authors":"James Woodcock, Lambed Tatah, Paulo Anciaes, Zorana Andersen, Ronita Bardhan, Xuan Chen, Audrey de Nazelle, Ulrike Gehring, Stefan Gössling, Marco Helbich, Gerard Hoek, S M Labib, Sasha Khomenko, Haneen Khreis, Danielle MacCarthy, Jennifer S Mindell, Ismaïl Saadi, Nadja Schweiggart, Cathryn Tonne, Meelan Thondoo, Honorine van den Broek d'Obrenan, Belen Zapata-Diomedi, Mark Nieuwenhuijsen","doi":"10.1007/s40572-025-00505-7","DOIUrl":"10.1007/s40572-025-00505-7","url":null,"abstract":"<p><p>In this article, we summarise recent developments, identify gaps, and propose a research agenda for quantitative health impact assessment (HIA) of environmental exposures linked to urban transport and land use. This is based on a workshop of 30 experts, complemented by targeted literature identified by participants to illustrate the state of research and practice gaps. The practice of quantitative HIA in urban transport and land use interventions covers a diverse range of methods, models, and frameworks. The selection of an appropriate model depends upon the use case, i.e., the research question, resources and expertise, and application. The plurality of models can be a strength if differences are explicit and their implications are understood. A major gap in most assessments and frameworks is the lack of equity consideration. This should be integrated into all stages of the HIA, considering exposures, susceptibility, disease burden, capacity to benefit, household budgets, responsibility for harm, and participation in the process. Scenarios of environmental exposures in urban transport and land use interventions are often overly simple, while the scenario design process of spatial planning is often opaque. Researchers should specify the involvement of stakeholders and the data, evidence, or behavioural model used to construct the scenario. Recent developments in exposure assessment (remote sensing and modelling) have increased the capacity to conduct HIAs for small geographies at scale. At the same time, advances in simulation have enabled the representation of behaviours at high spatial and temporal resolution. The combination can enable person-centric measures accounting for location, activities, and behaviours, with HIA proceeding ahead of epidemiology. Most HIAs still use Comparative Risk Assessment. This is suitable for estimating the disease burdens of environmental exposures, but more advanced longitudinal methods are better suited for studying interventions. Beyond health outcomes, well-being must be incorporated. The monetisation of health outcomes through welfare economics remains contentious. Representation of uncertainty is increasingly acknowledged. Value of Information methods can inform where new data collection would most efficiently reduce final result uncertainty. In the context of the climate crisis and related environmental limits, methods are needed that consider adaptation alongside mitigation and prevention and test robustness to an increasingly unstable future.</p>","PeriodicalId":10775,"journal":{"name":"Current Environmental Health Reports","volume":"12 1","pages":"38"},"PeriodicalIF":9.1,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12540632/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145336554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Silicone Wristbands as Passive Environmental Sampling Devices in Low- and Middle-Income Countries: a Scoping Review of the Evidence.","authors":"Julia M Jackman, Noah Peeri, Betel Yibrehu, Israel Adeyemi Owoade, Megan Romano, Samson Gbenga Ogunleye, Olalekan Olasehinde, Funmilola Wuraola, Olusegun Isaac Alatise, T Peter Kingham, Mengmeng Du","doi":"10.1007/s40572-025-00501-x","DOIUrl":"10.1007/s40572-025-00501-x","url":null,"abstract":"<p><strong>Introduction: </strong>Environmental exposures have been linked to numerous health conditions. Personal sampling devices such as silicone wristbands have been deployed to better characterize these exposures. Few studies have investigated the use of silicone wristbands in low- and middle-income countries (LMICs). Understanding silicone wristbands in these settings is important since they have the potential to overcome certain logistical and cultural barriers that make biospecimen collection challenging. Thus, this scoping review aims to assess these studies by highlighting population, feasibility, accessibility, and ease of use.</p><p><strong>Methods: </strong>We searched five databases for the term \"silicone wristband,\" resulting in 265 records. We included studies if they employed silicone wristbands as a passive sampling device and included samples from LMICs. After an abstract and full-text screening, we included 17 studies in this review.</p><p><strong>Results: </strong>The studies included data from 10 LMICs that span three continents (Africa, South America, and Asia) and represent several occupations and diverse communities, both adult and pediatric. As measured through response rate, the use of silicone wristbands as passive sampling devices was widely accepted by participants.</p><p><strong>Conclusion: </strong>Silicone wristbands are a suitable and effective passive sampling device in LMICs. They are easily deployed, minimally invasive, and stable in travel. Employing a standardized approach to data collection and analysis may be useful for further comparability in future studies.</p>","PeriodicalId":10775,"journal":{"name":"Current Environmental Health Reports","volume":"12 1","pages":"37"},"PeriodicalIF":7.9,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145291438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmental Noise Exposure and Risk of Cancer: A Systematic Review and Meta-Analysis.","authors":"Ali Momen, Angel M Dzhambov, Bénédicte Jacquemin, Mengmeng Li, Jun Yang, Amir Houshang Mehrparvar, Payam Dadvand, Mohammad Javad Zare Sakhvidi","doi":"10.1007/s40572-025-00504-8","DOIUrl":"10.1007/s40572-025-00504-8","url":null,"abstract":"<p><strong>Purpose of review: </strong>Environmental noise has been identified as a risk factor for cardiovascular and metabolic outcomes. Its association with cancer risk remains poorly understood. This systematic review (on evidence up to February 2025) is to synthesize and meta-analyze the epidemiological evidence.</p><p><strong>Recent findings: </strong>The studies involved over ten million participants, predominantly from Europe. The most reported outcomes were breast and colorectal cancers, with road traffic noise exposure being the most frequently assessed exposure. The pooled random-effects estimates indicated null association between road traffic noise and breast cancer incidence (RR 1.01; 95% CI 0.99-1.03) or mortality (RR 0.98; 95% CI 0.86-1.10), nor with colon cancer subtypes. Studies risk of bias was high to probably high, particularly in exposure assessment and confounding control. Overall, the available evidence does not support an association between traffic noise and cancer incidence or mortality. However, the certainty of evidence is very low due to methodological heterogeneity, high risk of bias, and the limited number of studies for most cancer sites.</p>","PeriodicalId":10775,"journal":{"name":"Current Environmental Health Reports","volume":"12 1","pages":"36"},"PeriodicalIF":7.9,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145274150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early Life Exposure To Multiple Metals, Nutrition, and Growth in Children - A Scoping Review.","authors":"Gauri Desai, Nicholas Blatto, Michelle L Zafron, Carole Rudra, Katarzyna Kordas","doi":"10.1007/s40572-025-00502-w","DOIUrl":"10.1007/s40572-025-00502-w","url":null,"abstract":"<p><strong>Background: </strong>In utero and childhood exposure to toxic metals is associated with poor child growth, a predictor of adverse health outcomes. Most existing research focuses on exposure to single metals; the effects of metal mixtures largely remain understudied. Further, few studies consider how diet/nutrients interact with metal mixtures.</p><p><strong>Objective: </strong>To synthesize research on the relationship between in utero and childhood metal mixture exposures, nutritional status-metal exposure interactions, and child anthropometric outcomes.</p><p><strong>Methods: </strong>PubMed and Embase were used to search literature published in 2010-2023. Included studies consisted of at least two in utero or childhood toxic metal exposures and examined anthropometric parameters as their main outcomes. Included articles underwent full-text screenings. Information on exposures, findings, nutritional variables, and statistical methods was extracted.</p><p><strong>Results: </strong>After deduplication and title and abstract screening, 95 publications were included; 70 on prenatal growth and 25 on postnatal growth. Nutritional status/diet was assessed as an effect modifier in 4.3% studies on prenatal and 12% studies on postnatal growth. Birthweight (91.4%), and height and body mass index (64%) were common indicators of prenatal and postnatal growth, respectively. Finally, 41.4% of studies on prenatal and 20% on postnatal growth included statistical models that tested for mixture effects.</p><p><strong>Conclusion: </strong>Although many studies included multiple metals, their mixture effects largely remain untested. Additionally, inclusion of nutritional status/dietary intakes in statistical models is rare, highlighting the need for further research.</p>","PeriodicalId":10775,"journal":{"name":"Current Environmental Health Reports","volume":"12 1","pages":"35"},"PeriodicalIF":9.1,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12491094/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145205718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Harnessing Geospatial Artificial Intelligence (GeoAI) for Environmental Epidemiology: A Narrative Review.","authors":"Hari S Iyer, Seigi Karasaki, Li Yi, Yulin Hswen, Peter James, Trang VoPham","doi":"10.1007/s40572-025-00497-4","DOIUrl":"10.1007/s40572-025-00497-4","url":null,"abstract":"<p><strong>Purpose of review: </strong>Geospatial analysis is an essential tool for research on the role of environmental exposures and health, and critical for understanding impacts of environmental risk factors on diseases with long latency (e.g. cardiovascular disease, dementia, cancers) as well as upstream behaviors including sleep, physical activity, and cognition. There is emerging interest in leveraging machine learning and artificial intelligence (AI) for environmental epidemiology research. In this review, we provide an accessible overview of recent advances.</p><p><strong>Recent findings: </strong>There have been two major recent shifts in geospatial data types and analytic methods. First, novel methods for statistical prediction, combining geospatial analysis with machine learning and artificial intelligence (GeoAI), allow for scalable geospatial exposure assessment within large population health databases (e.g. cohorts, administrative claims). Second, the widespread adoption of smartphones and wearables with global positioning systems and other sensors has allowed for passive data collection from people, and when combined with geographic information systems, enables exposure assessment at finer spatial scales and temporal resolution than ever before. Illustrative examples include refining models for predicting outdoor air pollution exposure, characterizing populations susceptible to water pollution, and use of deep learning to classify Street View image-derived measures of greenspace. While these tools and approaches may facilitate more rapid, higher quality objective exposure measures, they pose challenges with respect to participant privacy, representativeness of collected data, and curation of high quality validation sets for training of GeoAI algorithms. GeoAI approaches are beginning to be used for environmental exposure assessment and behavioral outcome ascertainment with higher spatial and temporal precision than before. Epidemiologists should continue to apply critical assessment of measurement accuracy and design validity when incorporating these new tools into their work.</p>","PeriodicalId":10775,"journal":{"name":"Current Environmental Health Reports","volume":"12 1","pages":"34"},"PeriodicalIF":9.1,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12474636/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145147989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Universal Truths about Reducing Meat Consumption?","authors":"Tatjana Kwasny, Sarah Marth, Karin Dobernig, Petra Riefler","doi":"10.1007/s40572-025-00498-3","DOIUrl":"10.1007/s40572-025-00498-3","url":null,"abstract":"<p><p>PURPOSE OF REVIEW: Current high levels of meat production and consumption are linked to severe health and environmental issues around the world. One remedy to this situation is a shift towards more plant-based diets. Several factors influence consumers’ meat intake including personal, socio-cultural, and economic factors as well as characteristics of the food environment. An increasing number of intervention studies are addressing these factors to support the necessary diet shift. However, the relative impact of factors on diets as well as the effectiveness of interventions might differ across geographic settings. This literature review describes (i) how far extant intervention studies on meat consumption reduction take the regional context into account, and (ii) whether current findings allow to distill universal factors that effectively reduce meat consumption across regions and countries. RECENT FINDINGS: This review identifies three key findings: First, existing evidence is largely limited to Europe and North America, while rapidly developing regions such as Africa and Asia are neglected despite rising meat consumption. Second, knowledge-related interventions appear to be more effective when framed around health rather than environmental issues of meat consumption. However, cross-country evidence on which specific issues matter most (e.g. cancer, cardiovascular disease etc.) is lacking. Moreover, social norm interventions seem to be effective in reducing meat consumption across countries, but research comparing effective designs and reference groups across countries is missing. Third, most interventions adopt standardized approaches with limited regional adaptation, except social norm interventions, which often tailor messages to the regional context. Due to a lack of cross-national studies, empirical evidence for universal factors spanning different regions or countries is scant. Also, whether the relevance of personal, socio-cultural or external factors varies in different regional contexts remains largely unclear. Thus, future research should emphasize the regional context and test adapted interventions in cross-country studies. </p>","PeriodicalId":10775,"journal":{"name":"Current Environmental Health Reports","volume":"12 1","pages":"33"},"PeriodicalIF":7.9,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12446401/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145079804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}