Potential Environmental Exposure Research Articles

Quantifying residents' exposure to agricultural pesticides using new geospatial approaches

A better understanding of environmental exposure to agricultural pesticides is crucial for public health, regulatory and management purposes. Residents in close vicinity to agricultural fields are likely to be more exposed to pesticides. In that context, an innovative geospatial approach for mapping estimates of agricultural pesticide exposure was developed in this study.Data on pesticide application rates, high-resolution annual datasets of the geographic distribution of crops, and the 100x100m grid population dataset were utilized to complete this analysis in Wallonia (Belgium) over the period 2015-2019. Pesticide exposure metrics were estimated using a buffer-based exposure model by conducting neighborhood analysis within a 1000m buffer radius. Subsequently, a population weighted method was used to ‘up-scale’ the exposure data to administrative levels. In a limited validation effort, model estimates were compared with pesticide measurements in air collected at 12 stations during the period 2015-2016.The results present the first modeling map of environmental exposure to agricultural pesticides for the whole of the Walloon region. The northern part of the Sambre-Meuse axis demonstrates more intensive agriculture and the highest pesticide weighted exposure indices. The majority of the population resides near agricultural areas, with only 4% living in regions that lack crops within a 1000m radius, primarily in the central areas of large cities. A positive trend association between pesticide measures in air and the index was observed at the different stations, nevertheless further validation efforts are needed to accurately compare the same active ingredients.This work gives a valuable basis for research and environmental health actions in Belgium. Maps highlight areas where human biomonitoring and epidemiological studies should be implemented to investigate the impact of potential environmental exposure to pesticides. This information helps policy-makers to take measures to control and reduce the load of agricultural pesticides in the environment.

Characterization and potential toxicity of asbestiform erionite from Gawler Downs, New Zealand

Abstract Erionite is the name for a zeolite mineral series originating from diagenesis or hydrothermal alteration of volcanic rocks. The particular erionite “species” is based on the dominant extra-framework cation, erionite-Ca, erionite-K, or erionite Na. Irrespective of the species, erionite can display a fibrous/asbestiform morphology and has been linked with cases of malignant mesothelioma, a disease typically associated with asbestos exposure. Characterization of new discoveries of erionite is therefore important to assess any potential exposure hazards. This study describes a new asbestiform erionite from vesicles within the Upper Cretaceous Mt. Somers Volcanics Group (MSVG), Canterbury, New Zealand. The erionite is within the Hinds River Dacite, the youngest unit within the MSVG at Gawler Downs, ~100 km west of Christchurch, in the foothills of the Southern Alps. A multi-analytical approach was taken to analyze the sample which included micro-Raman spectroscopy, thermogravimetric analysis, electron microscopy, electron microprobe analysis, and X-ray powder diffraction with the Rietveld method. Results confirmed the mineral as fibrous erionite-K. The chemical composition of the mineral is unique due to the presence of higher levels of Mg. While Fe was also identified, this was due to smectite flakes occurring on the surface of the erionite fibers. According to the World Health Organization (WHO) respirable mineral fiber definition, where length ≥5 μm, width ≤3 μm, and aspect ratio (L/w) ≥3:1, the Gawler Downs erionite fibers are respirable, while the fibers themselves exceed respirable thickness. In addition to morphology, a value for the potential toxicity model was computed to be 2.28 for the Gawler Downs erionite. This is similar to those of other carcinogenic erionites from Karain, Turkey (2.33), and Nevada, U.S.A. (2.28). Taken together, results indicate Gawler Downs erionite represents an environmental hazard. Nevertheless, further investigation is required to determine potential environmental exposure pathways by which erionite may become airborne and assess the actual environmental risk in the Gawler Downs area.

Landscape analysis of environmental data sources for linkage with SEER cancer patients database.

One of the challenges associated with understanding environmental impacts on cancer risk and outcomes is estimating potential exposures of individuals diagnosed with cancer to adverse environmental conditions over the life course. Historically, this has been partly due to the lack of reliable measures of cancer patients' potential environmental exposures before a cancer diagnosis. The emerging sources of cancer-related spatiotemporal environmental data and residential history information, coupled with novel technologies for data extraction and linkage, present an opportunity to integrate these data into the existing cancer surveillance data infrastructure, thereby facilitating more comprehensive assessment of cancer risk and outcomes. In this paper, we performed a landscape analysis of the available environmental data sources that could be linked to historical residential address information of cancer patients' records collected by the National Cancer Institute's Surveillance, Epidemiology, and End Results Program. The objective is to enable researchers to use these data to assess potential exposures at the time of cancer initiation through the time of diagnosis and even after diagnosis. The paper addresses the challenges associated with data collection and completeness at various spatial and temporal scales, as well as opportunities and directions for future research.

Prioritizing of potential environmental exposure carcinogens beyond IARC group 1–2B based on weight of evidence (WoE) approach

Environmental exposures are the main cause of cancer, and their carcinogenicity has not been fully evaluated, identifying potential carcinogens that have not been evaluated is critical for safety. This study is the first to propose a weight of evidence (WoE) approach based on computational methods to prioritize potential carcinogens. Computational methods such as read across, structural alert, (Quantitative) structure-activity relationship and chemical-disease association were evaluated and integrated. Four different WoE approach was evaluated, compared to the best single method, the WoE-1 approach gained 0.21 and 0.39 improvement in the area under the receiver operating characteristic curve (AUC) and Matthew's correlation coefficient (MCC) value, respectively. The evaluation of 681 environmental exposures beyond IARC list 1–2B prioritized 52 chemicals of high carcinogenic concern, of which 21 compounds were known carcinogens or suspected carcinogens, and eight compounds were identified as potential carcinogens for the first time. This study illustrated that the WoE approach can effectively complement different computational methods, and can be used to prioritize chemicals of carcinogenic concern.

Migraine Prevalence, Environmental Risk, and Comorbidities in Men and Women Veterans

Migraine is a prevalent and debilitating condition that substantially impacts quality of life. Investigating migraine prevalence, associated comorbidities, and potential military service exposures in veterans, focusing on gender differences, is crucial for targeted interventions and management strategies. To determine the prevalence of migraine, associated health comorbidities, and potential military service and environmental exposures among men and women US veterans using a large-scale epidemiological sample from the Million Veteran Program (MVP). This cross-sectional study analyzed self-report survey data from the MVP, a large epidemiological sample of US veterans that was started in 2011 and has ongoing enrollment. Eligible participants were selected from the MVP database in 2023. The study included 491 604 veterans to examine migraine prevalence, health comorbidities, demographic characteristics, military service history, and environmental exposures. Data were analyzed from December 2022 to July 2023. Military service and environmental factors, such as chemical or biological warfare exposure, were considered. The primary outcome was migraine prevalence among men and women veterans, assessed through self-reported diagnoses. Secondary outcomes included the association between migraine and health comorbidities, demographic characteristics, military service history, and environmental exposures. Of the 491 604 veterans included in this study, 450 625 (91.8%) were men and 40 979 (8.2%) were women. The lifetime prevalence of migraine was significantly higher in women (12 324 of 40 979 [30.1%]) than in men (36 816 of 450 625 [8.2%]). Migraine prevalence varied by race and ethnicity, with the highest prevalence in Hispanic or Latinx women (1213 of 3495 [34.7%]). Veterans with migraine reported worse general health, higher levels of pain, increased pain interference with work, a higher likelihood of psychiatric and neurological health conditions, and greater lifetime opioid use. Specific aspects of military service, including service post-September 2001 and deployment in Operation Enduring Freedom and Operation Iraqi Freedom, and environmental factors, including Agent Orange, chemical and biological welfare, and antinerve agent pills history, were significantly associated with migraine prevalence. In this cross-sectional study of migraine, the results highlighted gender differences in migraine prevalence and associated health comorbidities among US veterans. The findings emphasized the need for interdisciplinary approaches to migraine management, increased awareness and education efforts, and population-based screening strategies, particularly for women and Hispanic veterans who are at greater risk. Our findings encourage further research into tailored interventions for specific subpopulations and the impact of military service and environmental exposures on migraine and related health conditions.

Cardiometabolic Risk Factors in Adolescent Women’s Health

Despite significant advances in diagnosis and treatment, cardiovascular disease (CVD) remains a major cause of mortality and morbidity for men and women. While disease rates are somewhat declining for men, risk for women, and earlier age at onset, is increasing. As with many common conditions, prevention and/or early intervention for those at risk, leads to better long-term outcome than treatment and secondary prevention. In order to better achieve reduction in disease in adulthood, we need to recognize critical periods of vulnerability for disease development. These include broadly the maternal environment, but also early childhood and adolescence, two periods with rapid growth and development, where environmental “insults” may have long-lasting impact. As suggested by the Developmental Origins of Adult Disease (DoAD) and the Dutch famine studies, the in-utero environment is a critical window. And maternal health leading into pregnancy, maternal health during pregnancy and any potential environmental exposures, will all impact childhood and likely adult health. Careful studies across childhood, particularly with emphasis on BMI and BMI trajectories and adverse social situations and abuse, are producing informative data regarding the importance of this critical time-period for both awareness and intervention. And, interventions, as simple as improving diet and sleep, may improve our ability for early intervention in simple ways to improve women’s health and longevity.

Public Health Data Applications Using the CDC Tracking Network: Augmenting Environmental Hazard Information With Lower-Latency NASA Data.

Exposure to environmental hazards is an important determinant of health, and the frequency and severity of exposures is expected to be impacted by climate change. Through a partnership with the U.S. National Aeronautics and Space Administration, the U.S. Centers for Disease Control and Prevention's National Environmental Public Health Tracking Network is integrating timely observations and model data of priority environmental hazards into its publicly accessible Data Explorer (https://ephtracking.cdc.gov/DataExplorer/). Newly integrated data sets over the contiguous U.S. (CONUS) include: daily 5-day forecasts of air quality based on the Goddard Earth Observing System Composition Forecast, daily historical (1980-present) concentrations of speciated PM2.5 based on the modern era retrospective analysis for research and applications, version 2, and Moderate Resolution Imaging Spectroradiometer (MODIS) daily near real-time maps of flooding (MCDWD). Data integrated into the CDC Tracking Network are broadly intended to improve community health through action by informing both research and early warning activities, including (a) describing temporal and spatial trends in disease and potential environmental exposures, (b) identifying populations most affected, (c) generating hypotheses about associations between health and environmental exposures, and (d) developing, guiding, and assessing environmental public health policies and interventions aimed at reducing or eliminating health outcomes associated with environmental factors.

Impact of Deployment on Survival in Military Personnel with Non-Hodgkin Lymphoma

Introduction: It is estimated that approximately 3.5 million active duty service members (ADSM) have deployed to Afghanistan and Iraq from 2001-2022. There has been concern about potential exposure to carcinogenic or environmental hazards during overseas deployment. A recent study found ADSM with no prior deployments had an increased risk of cancer mortality compared to those who had served in Operation Iraqi Freedom/Operation Enduring Freedom. Moreover, Nordic personnel with military deployments were also found to have a lower risk of cancer related death when compared to the general population. While there may be a link between potential environmental exposures, there is a lack of data on non-Hodgkin lymphoma (NHL) survival in servicemembers who have previously deployed. Additionally, there are no studies comparing risk of aggressive B-cell lymphoma in these patient populations. Methods: Documented cases of NHL in the DoD's Tumor Registry (Oncolog) from 2001-2022 were obtained. This information was compared to the Defense Manpower Data Center's deployment data and the two datasets were merged. ADSMs and retirees were included; dependents were excluded. A multivariable logistic regression analysis was done to assess the impact of prior deployment on cancer survival in NHL, accounting for age, race, cancer stage, ethnicity, and gender. Results: There were 2,295 servicemembers and retirees diagnosed with NHL from 2001-2022. About 20% had previously deployed (n=467). Median age at diagnosis in those who had deployed was 35 years compared to 54 years for non-deployed (p<0.001). Race, ethnicity, and gender were similar between both arms. Multivariable logistic regression analysis demonstrated prior deployment was associated with better survival after accounting for age, race, stage, ethnicity, and gender (OR 0.63, 95% CI 0.40-0.97, p=0.037). In addition to deployment status, other variables that influenced survival were age (OR 1.04, 95% CI 1.03-1.54, p<0.001), stage (OR 2.92 for stage IV vs. stage I, 95% CI 2.06-4.15, p<0.001), and race (OR 1.97 for black vs. white race, 95% CI 1.37-2.83, p<0.001). To assess whether NHL subtype played a role in these findings, a post-hoc analysis was performed on patients with B-cell NHLs, revealing that ADSM with prior deployment were equally likely to have indolent and aggressive subtypes of B-cell NHL as ADSM who had never deployed. Among personnel with prior deployment, 29.6% and 70.4% had indolent and aggressive B-cell NHLs respectively, compared to 32.9% and 67.1% amongst those who never deployed (p=0.25). Conclusions: Military personnel with NHL who had previously deployed lived longer than those with no prior deployment, even after adjusting for age differences between the two cohorts. These findings are not attributable to B-cell NHL subtype (i.e. deployed personnel did not have more indolent NHLs than non-deployed personnel). These results highlight the healthy deployer effect, in which ADSM who are deployable are required to meet minimum fitness standards, undergo a physical health assessment, and do not have disqualifying comorbidities. This study did not evaluate whether an overseas deployment is associated with an increased risk of NHL, but it does appear to provide evidence that potential deployment-related exposures do not appear to alter the biology or subtype of B-cell NHLs. Disclaimer: The contents of this publication are the sole responsibility of the author(s) and do not necessarily reflect the views, opinions or policies of the Department of Defense (DoD) or the Departments of the Army, Navy, or Air Force. Mention of trade names, commercial products, or organizations does not imply endorsement by the U.S. Government.

Military Environmental Exposures.

The passage of the PACT Act of 2022 expanded the services veterans receive through the U.S. Department of Veterans Affairs (VA), ensuring they now qualify for benefits if they've been exposed to certain toxins during their military service. This significant expansion of VA benefits also highlights the need for nurses and other health providers working outside the VA system-who care for millions of veterans-to be well-informed about their patients' military experiences and any potential environmental exposures and health impacts. In this article, the author raises awareness of military environmental exposures and offers guidance about exposure-informed care.

P013 The Effect of Noise Exposure during Sleep on the Cortisol Awakening Response

Abstract Introduction Environmental noise could negatively impact the sleep and well-being of nearby residents. This study tested for overnight noise exposure effects on the cortisol awakening response (CAR), a potential marker of noise-related stress responses, and for differences in CAR and hair cortisol between different prior noise exposure groups. Methods A randomised controlled laboratory trial was conducted in 68 individuals from four groups; including WFN-exposed residents n=14 with and n=18 without WFN-related complaints, n=18 quiet rural control and n=18 urban traffic-noise exposed residents. Across six nights, after an initial adaptation night, participants were exposed in random order to different noise conditions, which included intermittent WFN and road traffic noise (RTN), WFN at average exposure levels throughout wake, sleep or both and a quiet control night. Salivary CAR responses were evaluated from 5 serial saliva samples collected following awakening. Hair cortisol levels were also collected. Mixed effects models were used to examine group and night effects on CAR and group effects on hair cortisol. Results There was a significant main effect of condition on CAR (p=0.038), but no significant pairwise differences between the control night and noise exposure nights, and no further differences between nights or groups on CAR or hair cortisol concentrations. Conclusions Acute in-laboratory noise-related sleep disturbance at the levels used in this study do not appear to alter acute cortisol awakening responses. A better understanding of chronic noise exposure effects and stress responses is important to help clarify and mitigate potential environmental noise exposure effects on nearby residents.

Application of the novel Cu-resistant fungus Aspergillus niger A3 in bioremoval of Cu-NPs from its aqueous solutions

Copper is an essential element for the metabolism of plants and animals, and has wide applications in the agricultural and industrial sectors. On the other hand, copper nanoparticles (Cu-NPs) have become widely used for research and application, which increases the chances of its spread and potential environmental exposure to this element. Therefore, in this study, the bioremediation bioreactor for the removing of Cu-NPs based on a fungal strain (Aspergillus niger) was introduced. A. niger isolate MR3 with accession No. OP861660.1 after molecular identification was selected as a promising isolate for copper resistance and Cu-NPs bioremoval. The impact of biomass age, pH, and contact time was investigated in order to establish the ideal biosorption conditions. The results showed a high Cu-NPs removal via two-days-old A. niger biomass, where the bioremoval percentage reached 66.8 % at pH value 7 after a contact time of 10 min. Dead biomass of A. niger achieved the highest Cu-NPs removal rate, eliminating 68.2 % compared with both living and alginate beads-immobilized biomass. Thus, bioremoval experiments using dead biomass were performed in a bioreactor for sequential removal of Cu-NPs. The bioremoval capacity reached 97 % under optimized conditions from synthetic wastewater after a contacting time of 10 min. Thus, the present work considered the first report for bioremediation of Cu-NPs into bioreactor.

Airborne soil and dust are potential sources of antimony to residents across Delhi: Exposure likely to occur via dermal route

BackgroundThere is an urgent need to assess sources of toxic metals in highly urbanized environments, to identify high risk areas for testing to enable planning to minimize exposure to residents. Notable toxic metals identified in this study were Antimony (Sb) and mercury (Hg), listed as priority pollutants by USEPA that can cause a variety of diseases in humans, and cobalt (Co), compounds of which have been shown to be carcinogenic in animal studies. ObjectivesObjectives of this study were to measure the level and spatial distribution of toxic metals in roadside soil and road dust across a large area of Delhi. Toxic metals with notably high levels were identified and assessed for potential environmental exposure, non-carcinogenic and carcinogenic risks to the population in the study area. Research methodsA sampling scheme was designed to collect soil from a wide range of roadside environments across the urban region of Delhi. The soil and dust fractions were separated and selected toxic metals extracted and analyzed on Inductively Coupled Plasma – Mass Spectroscopy (ICP–MS) adopting USEPA methodology. ResultsMean concentrations of Sb (2.62 and 3.59 in μgg−1) were 13 and 18 times higher than background level (0.2 μgg−1) in fine fractions of roadside soil and road dust, respectively in all areas sampled. The Hg and Co were moderately and minimally enriched in a fine fraction of soil and dust, respectively. The fine fraction of soil and dust showed a significant decrease in the Cu/Sb ratio compared to the coarse fraction suggesting an anthropogenic addition of Sb from vehicular brake pads. This study is the first of its type to calculate the cancer risk assessment of Sb from inhalation exposure. ConclusionMeasurements of Sb, Hg and Co in roadside soil and dust are mapped to highlight regions where testing of the population would be advisable. In addition, toxic levels of Sb may enter the human body via a dermal route and cause various diseases including diabetes mellitus and gestational diabetes mellitus. Finally, our results suggest an immediate change to antimony free brake pads for all vehicles is recommended.

Meteorological data source comparison—a case study in geospatial modeling of potential environmental exposure to abandoned uranium mine sites in the Navajo Nation

Meteorological (MET) data is a crucial input for environmental exposure models. While modeling exposure potential using geospatial technology is a common practice, existing studies infrequently evaluate the impact of input MET data on the level of uncertainty on output results. The objective of this study is to determine the effect of various MET data sources on the potential exposure susceptibility predictions. Three sources of wind data are compared: The North American Regional Reanalysis (NARR) database, meteorological aerodrome reports (METARs) from regional airports, and data from local MET weather stations. These data sources are used as inputs into a machine learning (ML) driven GIS Multi-Criteria Decision Analysis (GIS-MCDA) geospatial model to predict potential exposure to abandoned uranium mine sites in the Navajo Nation. Results indicate significant variations in results derived from different wind data sources. After validating the results from each source using the National Uranium Resource Evaluation (NURE) database in a geographically weighted regression (GWR), METARs data combined with the local MET weather station data showed the highest accuracy, with an average R2 of 0.74. We conclude that local direct measurement-based data (METARs and MET data) produce a more accurate prediction than the other sources evaluated in the study. This study has the potential to inform future data collection methods, leading to more accurate predictions and better-informed policy decisions surrounding environmental exposure susceptibility and risk assessment.

Material flow analysis-based assessment of polypropylene-fiber-containing microplastics released from disposable masks: Characterizing distribution in the environmental media

With the upsurge in the use of disposable masks during the coronavirus disease pandemic, improper disposal of discarded masks and their negative impact on the environment have emerged as major issues. Improperly disposed of masks release various pollutants, particularly microplastic (MP) fibers, which can harm both terrestrial and aquatic ecosystems by interfering with the nutrient cycling, plant growth, and the health and reproductive success of organisms. This study assesses the environmental distribution of polypropylene (PP)-containing MPs, generated from disposable masks, using material flow analysis (MFA). The system flowchart is designed based on the processing efficiency of various compartments in the MFA model. The highest amount of MPs (99.7 %) is found in the landfill and soil compartments. A scenario analysis reveals that waste incineration significantly reduces the amount of MP transferred to landfills. Therefore, considering cogeneration and gradually increasing the incineration treatment rate are crucial to manage the processing load of waste incineration plants and minimize the negative impact of MPs on the environment. The findings provide insights into the potential environmental exposure associated with the improper disposal of waste masks and indicate strategies for sustainable mask disposal and management.

Family Ecological Transaction for Disaster Risk Reduction: Case of Anak Dalam Tribe in Bukit Dua Belas National Park, Air Hitam Regency, Jambi, Indonesia

Anak Dalam Tribe (ADT) is an indigenous community living inside the conservation area, protected as cultural heritage. ADT family is highly dependent on the forest, they used to live and fulfill all their needs from the forest. Now with the modernization and regulatory dynamics taking place, ADT family undergoes changes as a form of adaptation, leading to residing categorization i.e. traditional, transition, and bediom. The changes impact on the ecological transactions thus bring a greater potential risk of forest fires, as has happened in recent years. This study aims to discover ADT family ecological transactions based on their residing type so that potential environmental exposure can be predicted and anticipated for disaster risk reduction. The qualitative research was conducted using a cross-sectional method. Data were collected through in-depth interview, observation, and forum group discussion. Mapping was done to understand the transaction pattern. This study found that the pattern of each kampong was different, showing that development has happened following the socio-ecological changes of each kampong, either by nature or intervention from outside parties. However, the livelihood area is still the biggest and outermost area of all six kampongs despite the residing type, covering the forest area. Moreover, the area of exposure is enlarged. It vindicates the escalating disaster risk. It is suggested to create a holistic livelihood ecosystem for ADT near their residing place to minimize the disaster risk. Political identity of ADT also should be reconsidered, with the inevitable global development, how far the heritage should be kept.

Screening and Prioritization of Pesticide Application for Potential Human Health and Environmental Risks in Largescale Farms in Western Kenya

Pesticide application in agricultural and residential areas is a worldwide practice. However, human pesticide poisoning and environmental pollution through pesticide residues remain a challenge in the developing world. The present study investigated the intensity of pesticide application in large-scale farms in Trans-Nzoia County to screen and prioritize the pesticides for potential human health and environmental risks. A cross-sectional survey involving 348 farmers was conducted in the study area, and data was analyzed using SPSS. Environmental Exposure Potential (EEP) and Toxicity Potentials (TP) were analyzed from the Pesticide Properties Database (PPDB). Majority (99.4%) of the farms surveyed apply various pesticide classes that include: organophosphates (34.78%), neonicotinoids (15.22%), carbamates (10.87%), pyrethroids (10.87%), organochlorines (8.7%), triazoles (6.5%), copper-based (4.34%), avermectines (2.17%), triazines (2.17%), and amidines (2.17%), with the use of organic manures (26.3%). Despite the high prevalence of pesticide application, only 48.28% of farms conduct soil quality monitoring, 77.3% of whom do not have clear records and schedules for conducting periodic soil analyses. There was a strong positive correlation between the acreage of operation and the use of herbicides in weed management (r = 0.77; p ≤ 0.05). In relation to degradation in the environment, 18.42% of the pesticides applied in the study area were persistent in soil sub-systems while 31.58% are persistent in water. Of the pesticides applied, 18.42% had high chances of bioconcentration in living tissues, 10.53% and 13.16% had the potential of contaminating groundwater and surface water resources, respectively. The ranked-order human toxicity potential associated with the used pesticides were teratogenicity (31.58%), neurotoxicity (28.95%), endocrine disruption (7.9%), carcinogenicity (7.9%), and mutagenicity (2.63%). However, 10.53% of the pesticides possess multiple toxicity potentials. Some farmers (53.70%) surveyed were not aware of the negative environmental impacts of pesticides with 59.50% having prior training on the use and handling of pesticides. Despite the availability of Personal Protective Equipment (PPEs) on larger farms, 31.9% of the farm workers do not adhere to their use during pesticide application. In conclusion, there is low awareness among farmers of human health and environmental risks associated with pesticide application. The study recommends training of farm managers, farm owners, and farm workers on pesticide handling and associated health and environmental effects.

A Clinician's Guide to Occupational Exposures in the Military.

Adverse occupational and environmental exposures are common causes of respiratory disease and health consequences requiring medical care. Understanding how these various exposures affect patients and how to elicit an adequate history is critical for any clinician. Military personnel are often overlooked when discussing groups at risk for environmental exposure-associated airway disease. There are close to 20 million active duty and veterans in the USA, and nearly all clinicians will at some point care for a patient that has served in the military. Exposures related to military work include burn pits, chemicals/toxins, sandstorms, and living conditions. Burn pits and military waste are increasingly recognized as potential hazards attributed to the ongoing conflicts in the Middle East. The link between these various military exposures and acute or chronic airway diseases remains difficult. Epidemiological studies are emerging to demonstrate correlations with chronic lung disease and prolonged burn pit exposure. This review provides an overview of potential occupational and environmental exposures that may affect current and/or former military service men and women.

Advances in computational methods along the exposure to toxicological response paradigm

Human health risk assessment is a function of chemical toxicity, bioavailability to reach target biological tissues, and potential environmental exposure. These factors are complicated by many physiological, biochemical, physical and lifestyle factors. Furthermore, chemical health risk assessment is challenging in view of the large, and continually increasing, number of chemicals found in the environment. These challenges highlight the need to prioritize resources for the efficient and timely assessment of those environmental chemicals that pose greatest health risks. Computational methods, either predictive or investigative, are designed to assist in this prioritization in view of the lack of cost prohibitive in vivo experimental data. Computational methods provide specific and focused toxicity information using in vitro high throughput screening (HTS) assays. Information from the HTS assays can be converted to in vivo estimates of chemical levels in blood or target tissue, which in turn are converted to in vivo dose estimates that can be compared to exposure levels of the screened chemicals. This manuscript provides a review for the landscape of computational methods developed and used at the U.S. Environmental Protection Agency (EPA) highlighting their potentials and challenges.

3D environmental urban BIM using LiDAR data for visualisation on Google Earth

Digitisation and building information modelling (BIM) technology are being adopted in the construction industry, but their application in the sustainable development of urban planning and civil engineering has been limited. A methodology was developed to generate 3D urban maps, which represent a potential environmental exposure related to urban green infrastructure. The methodology incorporated 3D geometric data obtained by Laser Imaging Detection and Ranging (LiDAR), location and information of green infrastructure, and meteorological data (direction and velocity of wind) into a single 3D BIM model to estimate the potential levels of exposure to urban green infrastructure by applying a modified aerobiological index to create risk maps for ornamental trees (AIROT). The BIM model facilitated a 3D visualisation of the exposure in urban environments by exporting information to GIS software, which could then be visualised on Google Earth. The main advance of the developed methodology is its applicability to any urban environment for determining and reducing aerobiological health risks in civil engineering.

Are ethnic differences, urinary iodine status, lead and cadmium exposure associated with thyroid autoimmunity and hypothyroid status? A cross-sectional study

ObjectiveWe aimed to evaluate the effects of different ethnicities and potential environmental exposure on the prevalence of thyroid autoimmune status and hypothyroid status.DesignThe data were obtained from two cross-sectional studies.Participants2105...