Hygiene and environmental health advances最新文献

{"title":"Particle emissions and respiratory exposure to hazardous chemical substances associated with binder jetting additive manufacturing utilizing poly methyl methacrylate","authors":"Sylvia Van Der Walt,&nbsp;Sonette Du Preez,&nbsp;Johannes L Du Plessis","doi":"10.1016/j.heha.2022.100033","DOIUrl":"10.1016/j.heha.2022.100033","url":null,"abstract":"<div><h3>Background</h3><p>During industrial scale binder jetting utilising poly methyl methacrylate (PMMA) hazardous chemical substances (HCSs) such as PMMA powder particles, methyl methacrylate (MMA) and acetone may be emitted and potentially inhaled by Additive Manufacturing (AM) operators.</p></div><div><h3>Methods</h3><p>Physical and chemical characterisation of virgin and used PMMA powder samples were characterised in terms of their size, shape and chemical composition. Direct reading particle counting instruments were used to determine particle emissions and emission rates (ER). Internationally recognised methods were used to monitor HCSs in the ambient workplace environment and personal respiratory exposure of the AM operators.</p></div><div><h3>Results</h3><p>There were no differences between the median powder size distributions of virgin and used PMMA powders. Scanning Electron Microscopy images indicated the presence of &lt;10 µm and &lt;4 µm sized particles in virgin and used powders. Particle ERs as high as 3.33 × 10⁶ particles/min for 0.01 - ∼1.00 µm sized particles were measured during the post-processing phase. Inhalable and respirable particles, acetone, pentane and toluene were detected in ambient air and AM operators were exposed to quantifiable concentrations of these HCSs.</p></div><div><h3>Conclusions</h3><p>Particles sized 0.01 - ∼1.00 µm were the most prevalent particles emitted, with a maximum ER of 3.33×10⁶ particles/min. Eight-hour Time Weighted Average personal exposures were below their respective Occupational Exposure Limit (OELs), with the exception of inhalable particles (mean &gt;50% of the South African OEL). Recommendations were made to reduce exposure to inhalable particles, which could be applied to other AM facilities.</p></div>","PeriodicalId":73269,"journal":{"name":"Hygiene and environmental health advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773049222000332/pdfft?md5=97cfe1930ec8c6cf9d7dcbb9260376cd&pid=1-s2.0-S2773049222000332-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47191324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Industrial air pollutant emissions and mortality from Alzheimer's disease in Canada","authors":"Sabit Cakmak ,&nbsp;Olaniyan Toyib ,&nbsp;Chris Hebbern ,&nbsp;Kimberly Mitchell ,&nbsp;Jasmine D. Cakmak ,&nbsp;Eric Lavigne ,&nbsp;Michael Tjepkema ,&nbsp;Naizhuo Zhao","doi":"10.1016/j.heha.2022.100019","DOIUrl":"https://doi.org/10.1016/j.heha.2022.100019","url":null,"abstract":"<div><h3>Background</h3><p>There is increasing interest in the health effects of source-specific air pollution. However, the relationship between industrial air pollutants and Alzheimer's disease has received limited investigation.</p></div><div><h3>Objectives</h3><p>To assess associations of industrial fine particulate matter (PM_2.5), nitrogen dioxide (NO₂), and sulfur dioxide (SO₂) exposures with mortality from Alzheimer's disease.</p></div><div><h3>Methods</h3><p>Approximately 3.2 million adults involved in the 2006 Canadian Census Health and Environment Cohort (CanCHEC) were followed from Census day (May 16, 2006) until death or December 31, 2016. Three-year moving-average industrial emissions with a one-year lag were assigned to the participants based on their residential postal codes. The neighborhood emission of each of the three industrial air pollutants for a postal code was estimated by considering weights of the air pollutant emissions from all industries within a 15 km buffer area, distances between the postal code area and the emitters, and percentages of time per year that the postal code area was downwind of the industrial emitters. Cox proportional hazards models were used to compute hazard ratios (HRs) for deaths from Alzheimer's, adjusting for 15 socio-demographic and contextual covariates. Sensitivity analyses were conducted by adjusting for other industrial emissions, greenness, and comorbidity index, individually.</p></div><div><h3>Results</h3><p>We identified 4500 deaths due to Alzheimer's disease from 2006 to 2016 for a total of 32,909,200 person-years across the follow-up period. The adjusted HR for mortality from Alzheimer's related to one interquartile range increase in industrial PM_2.5, NO₂, and SO₂ tonnes/meter per year are 1.006 (95% confidence intervals: 1.000-1.011), 0.994 (0.978-1.011), and 0.998 (0.996-1.001), respectively. Similar positive associations between industrial PM_2.5 and mortality from Alzheimer's disease were observed, but there were no clear associations for NO₂ and SO₂ in sensitivity analyses.</p></div><div><h3>Conclusions</h3><p>Exposure to industrial PM_2.5 increases the risk of mortality from Alzheimer's disease.</p></div>","PeriodicalId":73269,"journal":{"name":"Hygiene and environmental health advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773049222000198/pdfft?md5=6cfccbf9089b2a20b3e92f0cbdbe8268&pid=1-s2.0-S2773049222000198-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136884303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of COVID-19 lockdown and meteorology on the air quality of Srinagar city: A temperate climatic region in Kashmir Himalayas","authors":"Mohammad Asif ,&nbsp;Pranav Mahajan","doi":"10.1016/j.heha.2022.100025","DOIUrl":"10.1016/j.heha.2022.100025","url":null,"abstract":"<div><p>The deadly transmission of the coronavirus forced all countries to implement lockdowns to restrict the transmission of this highly infectious disease. As a result of these lockdowns and restrictions, many urban centers have seen a positive impact on air quality with a significant reduction in air pollution. Therefore, in this study, the impact of COVID-19 lockdown vis-a-vis meteorological parameters on the ambient air quality of Srinagar city was examined. In this regard, we have evaluated the temporal variation of six different key air pollutants (PM₁₀, PM_2.5, SO_2, NO₂, O₃, and NH₃) along with meteorological parameters (relative humidity, rainfall, temperature, wind speed, and wind direction). The duration of the study was divided into three periods: Before Lockdown(BLD), Lockdown (LD), and Partial Lockdown(PLD). Daily average data for all the parameters was accessed from one of the real-time continuous monitoring stations of the central pollution control board (CPCB) at Rajbagh Srinagar. Some air pollutants have decreased, according to the results, while others have increased. The air quality index (AQI) decreases overall by 6.15 percent compared to before lockdown, and it never exceeds the \"moderate\" category. The AQI was in the following order for both lockdown and pre-lockdown periods: satisfactory &gt; moderate &gt; good. However, for partial lockdown, it was moderate &gt; satisfactory &gt; good. It was observed that the maximum decrease was seen in the concentration of NO_2, NH₃ with 75.11% and 69.18%. A modest decrease was observed in PM₁₀ at 3.8%. While SO₂ and O₃ had an upward trend of 85.82% and 48.74%, The NO₂ to SO₂ ratio reveals that the emissions of NO₂ have substantially decreased due to the complete restriction of transport systems. From principal component analysis for all three study periods, PM₁₀ and PM_2.5 were combined into a single component, inferring their shared behavior and source of origin. SO₂ and O₃ demonstrated identical behavior during the lockdown and partial lockdown periods of study. According to the findings of the study, it is beneficial for the government, environmentalists, and policymakers to impose rigorous lockdown measures, particularly during extreme air pollution events, in order to reduce the damage caused by automotive and industrial emissions.</p></div>","PeriodicalId":73269,"journal":{"name":"Hygiene and environmental health advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9474402/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9909724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How neighborhood environment modified the effects of power outages on multiple health outcomes in New York state?","authors":"Wangjian Zhang ,&nbsp;Xinlei Deng ,&nbsp;Xiaobo X. Romeiko ,&nbsp;Kai Zhang ,&nbsp;Scott C. Sheridan ,&nbsp;Jerald Brotzge ,&nbsp;Howard H. Chang ,&nbsp;Eric K. Stern ,&nbsp;Zhijian Guo ,&nbsp;Guanghui Dong ,&nbsp;Ramune Reliene ,&nbsp;Yuantao Hao ,&nbsp;Shao Lin","doi":"10.1016/j.heha.2022.100039","DOIUrl":"10.1016/j.heha.2022.100039","url":null,"abstract":"<div><h3>Background</h3><p>Although power outage (PO) is one of the most important consequences of increasing weather extremes and the health impact of POs has been reported previously, studies on the neighborhood environment underlying the population vulnerability in such situations are limited. This study aimed to identify dominant neighborhood environmental predictors which modified the impact of POs on multiple health outcomes in New York State.</p></div><div><h3>Methods</h3><p>We applied a two-stage approach. In the first stage, we used time series analysis to determine the impact of POs (versus non-PO periods) on multiple health outcomes in each power operating division in New York State, 2001-2013. In the second stage, we classified divisions as risk-elevated and non-elevated, then developed predictive models for the elevation status based on 36 neighborhood environmental factors using random forest and gradient boosted trees.</p></div><div><h3>Results</h3><p>Consistent across different outcomes, we found predictors representing greater urbanization, particularly, the proportion of residents having access to public transportation (importance ranging from 4.9–15.6%), population density (3.3–16.1%), per capita income (2.3–10.7%), and the density of public infrastructure (0.8–8.5%), were associated with a higher possibility of risk elevation following power outages. Additionally, the percent of minority (-6.3–27.9%) and those with limited English (2.2–8.1%), the percent of sandy soil (6.5–11.8%), and average soil temperature (3.0–15.7%) were also dominant predictors for multiple outcomes. Spatial hotspots of vulnerability generally were located surrounding New York City and in the northwest, the pattern of which was consistent with socioeconomic status.</p></div><div><h3>Conclusion</h3><p>Population vulnerability during power outages was dominated by neighborhood environmental factors representing greater urbanization.</p></div>","PeriodicalId":73269,"journal":{"name":"Hygiene and environmental health advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/55/8a/nihms-1861414.PMC9914544.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9613959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hygiene knowledge and practices and determinants of occupational safety among waste and sanitation workers in Bangladesh during the COVID-19 pandemic","authors":"Mahbub-Ul Alam ,&nbsp;Fazle Sharior ,&nbsp;Dewan Muhammad Shoaib ,&nbsp;Mehedi Hasan ,&nbsp;Kazy Farhat Tabassum ,&nbsp;Sharika Ferdous ,&nbsp;Moushumi Hasan ,&nbsp;Mahbubur Rahman ,&nbsp;James B. Tidwell ,&nbsp;Mariam Zaqout ,&nbsp;Makfie Farah ,&nbsp;Md. Azizur Rahman ,&nbsp;Alauddin Ahmed ,&nbsp;Tanvir Ahmed","doi":"10.1016/j.heha.2022.100022","DOIUrl":"10.1016/j.heha.2022.100022","url":null,"abstract":"<div><p>Waste and sanitation workers provide essential services to society. In most low-and middle-income countries, they are often mistreated and lack access to necessary personal protective equipment (PPE) and hygiene facilities that ensure occupational safety in workplaces. COVID-19 has also imposed serious health risks upon these worker groups. This study explores factors associated with poor occupational health and safety based on a conceptual framework. We conducted 499 surveys with five categories of waste and sanitation workers across ten cities in Bangladesh. We performed descriptive analysis and used Firth's logistic regression model following the conceptual framework. The analysis revealed consistent distinctions between workers considered to be in “safe” versus “unsafe” working conditions. The result showed that workers had not been adequately trained, not provided with proper equipment, and many had an informal status that prevented access to hygiene facilities. The workers who received occupational training, knew how to prevent COVID-19 by wearing a face mask, hand washing, and maintaining social distance, maintained protective measures, and practiced proper disposing of PPEs were more likely to be in safe condition. Initiatives to improve the situation of the waste workers who work in unsafe work conditions are still inadequate. Therefore, we recommend supplying proper protective equipment, ensuring a regular supply of gender-specific PPEs, and providing functional facilities necessary to practice personal hygiene and occupational safety, such as handwashing stations, changing rooms, and disposal facilities of used PPEs at the workplace. We also urge increased institutional management procedures, infrastructure that facilitates hygiene practices, and social policies to reduce occupational hazards for the waste workers in Bangladesh during and beyond the COVID-19 pandemic.</p></div>","PeriodicalId":73269,"journal":{"name":"Hygiene and environmental health advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9439861/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10114715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects and interaction of air pollution and meteorological factors on pertussis incidence in P.R.China","authors":"Yizhe Luo ,&nbsp;Longyao Zhang ,&nbsp;Simin Zhang ,&nbsp;Lele Ai ,&nbsp;Heng Lv ,&nbsp;Changqiang Zhu ,&nbsp;Jiahong Wu ,&nbsp;Weilong Tan","doi":"10.1016/j.heha.2022.100036","DOIUrl":"10.1016/j.heha.2022.100036","url":null,"abstract":"<div><h3>Background</h3><p>Previous studies on the risk of pertussis exposure to atmospheric pollutants are still inconclusive.</p></div><div><h3>Methods</h3><p>Air pollutant, meteorological data and epidemiological distribution of pertussis cases in China during 2004–2018 were concluded in this study. A distributed lag nonlinear model (DLNM) for a maximum lag of 15 months was developed to evaluate the lag effects of monthly air pollutants and meteorological factors on pertussis incidence. Then a generalized additive model (GAM) was constructed to explore the interaction effect among air pollutants, meteorological factors and pertussis incidence and the stratified effect of selected variables.</p></div><div><h3>Results</h3><p>A total of 74,249 cases of pertussis were included during 2004–2018 in China. Long-term exposure to NO₂ was positively associated with the risk of pertussis at 32–94 µg/m³. Interaction and stratified analyses showed that there were certain correlations between 4 air pollutants (PM_2.5, SO₂, NO₂, and O₃) and 3 meteorological factors (temperature, sunlight and wind speed). In the high PM_2.5 environment, a unit increment in NO₂ contributed to a 2.52% (95% CI: 2.13%-2.92%) increase in pertussis incidence risk, while in a low PM_2.5 environment, a unit increment of NO₂ contributed to a 2.16% (95% CI: 1.64%-2.69%) increase in pertussis incidence risk.</p></div><div><h3>Conclusions</h3><p>Our study indicated that air pollutants and meteorological factors have delayed effects on the occurrence of pertussis in China, and the effect of NO₂ can be modified by PM_2.5, SO₂, and O₃. In the prevention and control of pertussis, the additive effect of different factors on pertussis and the variability of weather should be considered.</p></div>","PeriodicalId":73269,"journal":{"name":"Hygiene and environmental health advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773049222000368/pdfft?md5=5d1d29cc9a481782e5d0cd28d10a51a9&pid=1-s2.0-S2773049222000368-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42690176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"2,4-D and NHANES: Sources of exposure and identification of data gaps","authors":"Judy S. LaKind ,&nbsp;Carol J. Burns ,&nbsp;Daniel Q. Naiman","doi":"10.1016/j.heha.2022.100023","DOIUrl":"10.1016/j.heha.2022.100023","url":null,"abstract":"<div><p>The herbicide 2,4-D (2,4-dichlorophenoxyacetic acid) has been widely used for many decades. Occupational determinants of 2,4-D exposure are linked to processes related to its application. However, in the general population, the sources, pathways, and routes of exposure are less well-studied. Should exposure reductions be desired, this type of information will be essential. We examined urinary 2,4-D data in conjunction with National Health and Nutrition Examination Survey (NHANES) variables, as well as other publicly reported data. The goal was to identify signals for sources of exposure to the herbicide. Urinary 2,4-D measurement data were available from 1999 to 2014, with the exception of survey years 2005–2006. The geometric mean urinary 2,4-D concentrations for the total population were near the limits of detection (LOD) and ranged from 0.1 to 0.4 µg/L. Depending on the survey year, the percent of the population with urinary 2,4-D levels above the LOD ranged from 26.7 to 75.6%. There were no consistent patterns for urinary concentrations according to race/ethnicity, age, or gender. Higher median urinary 2,4-D levels were observed among those who reported recent use of a lawn or garden product. Working in agriculture was suggestive of an occupational influence in this cross section of the population. A generally consistent inverse relationship between fasting time and urinary 2,4-D levels was found although US databases on food and drinking water did not demonstrate widespread detection of 2,4-D. Biomonitoring data from studies such as NHANES preclude us from definitively ascertaining source contributions for exposures because the sources are likely to be diverse, with exposure occurring via several pathways. The extent to which diet or drinking water contributes to the overall 2,4-D exposure in nonoccupational populations is not well-established. Resources are needed for more studies that pair environmental- and biomonitoring-based exposure data from various regions and over multiple seasons.</p></div>","PeriodicalId":73269,"journal":{"name":"Hygiene and environmental health advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277304922200023X/pdfft?md5=03c6402443cd4b7e523c9e56bf5ac6e3&pid=1-s2.0-S277304922200023X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42825419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of diabetes and exposure to fine particulate matter (PM2.5) in the Southeastern United States","authors":"R. Burciaga Valdez ,&nbsp;Mohammad Tabatabai ,&nbsp;Mohammad Z. Al-Hamdan ,&nbsp;Derek Wilus ,&nbsp;Darryl B. Hood ,&nbsp;Wansoo Im ,&nbsp;Amruta Nori-Sarma ,&nbsp;Aramandla Ramesh ,&nbsp;Macarius M. Donneyong ,&nbsp;Michael A. Langston ,&nbsp;Charles P. Mouton ,&nbsp;Paul D. Juárez","doi":"10.1016/j.heha.2022.100024","DOIUrl":"10.1016/j.heha.2022.100024","url":null,"abstract":"<div><p>Fine particulate matter (PM_2.5) exposure can cause premature death and harmful chronic disease such as diabetes. The U.S. Environmental Protection Agency (EPA) sets annual PM_2.5 standards to reduce these negative health effects. Currently, annual average exposure over 12 µg/m³ is considered unhealthy. This study tests whether individuals living in locations exposed to elevated ambient levels of PM_2.5 concentrations were more likely to self-report diabetes. We examined the association of long-term exposure to PM_2.5 and diabetes at enrollment (2002–2009) in a cohort of 44,610 individuals residing in 12 states, recruited into the Southern Community Cohort Study (SCCS). Annual average PM_2.5 was estimated using remotely sensed satellite data integrated with ground monitoring data at participants’ residence in urban and rural locations. We used multilevel mixed-effects logistic regression models to estimate the associations between self-reported diabetes and historical exposure to elevated ambient levels of PM_2.5. We found a 10.1% increase in odds of reported diabetes with exposure to unhealthful levels of PM_2.5 exposure (&gt;12 µg/m³ at enrollment) compared to respondents living in areas with lower annual PM_2.5 concentrations. Participants with medical histories of hypertension, hypercholesterolemia, and smoking had an overall 384% higher odds of reported diabetes than those without these clinical risk factors. Black participants were more likely to live in locations with higher ambient PM_2.5 concentrations, report high levels of clinical risk factors, and had a 29.1% increase in odds of reported diabetes than Whites. In SCCS participants, exposures to high ambient levels of PM_2.5 were associated with self-reported diabetes at enrollment. Reduction in PM_2.5 standards for the U.S. are recommended.</p></div>","PeriodicalId":73269,"journal":{"name":"Hygiene and environmental health advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773049222000241/pdfft?md5=ac38935386ca21308716fae289e8d280&pid=1-s2.0-S2773049222000241-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49505366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Establishment of a behavioral model to study effects of typical chemicals toward zebrafish larvae","authors":"Siliang Yuan ,&nbsp;Wenchong Tong ,&nbsp;Tong Zheng ,&nbsp;Xiaohui Zhu ,&nbsp;Bin Tang ,&nbsp;Yao Dang ,&nbsp;Robert J. Letcher ,&nbsp;Chunsheng Liu","doi":"10.1016/j.heha.2022.100021","DOIUrl":"10.1016/j.heha.2022.100021","url":null,"abstract":"<div><p>A zebrafish behavioral model is prevalent and has potential to be an important component of chemical screening and toxicity evaluations. However, applications of such zebrafish behavioral assays remain limited because of flaws in monitoring procedures and designs and inconsistent test methodology among published studies. In the present study, a behavioral assay method based on zebrafish larvae was established for rapid chemical toxicity evaluation, which included the optimization of test conditions and the development of behavioral parameters, such as accumulated distance, frequency of active state, acceleration and mobility. To validate the reliability and investigate the specificity of the method developed, the behavioral effects were evaluated for a set of 28 chemicals (flame retardants, pesticides, fungicides or heavy metals) typically reported in the environment and showing effects by various modes of action (MOAs). Our results showed that the most suitable container and volume for behavioral tests of zebrafish larvae was 24-well plate containing 8-mm depth of solution, and the most appropriate developmental period for monitoring was at 5 days post-fertilization (dpf). Chemical exposure led to various dose-dependent responses of the behavioral parameters via different MOAs, e.g. estrogenic chemicals caused hyperactivity through neurodevelopment disturbance and neurotoxic chemicals led to hypoactivity through disruption of nerve signal transmission. Our results suggested that the optimized behavior monitioring method have the potential for identification and classification of neurotoxic chemicals.</p></div>","PeriodicalId":73269,"journal":{"name":"Hygiene and environmental health advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773049222000216/pdfft?md5=111c044da33706f9495730d6122c8be3&pid=1-s2.0-S2773049222000216-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46961762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between emerging chlorinated polyfluoroalkyl ether sulfonic acids exposure and birth size","authors":"Hong-Xiu Liu ,&nbsp;Yun Huang ,&nbsp;Yi-Tao Pan ,&nbsp;Xiao-Jie Sun ,&nbsp;Yuan-Yuan Li ,&nbsp;Ai-Fen Zhou ,&nbsp;Jia-Yin Dai ,&nbsp;Han Li ,&nbsp;Shun-Qing Xu ,&nbsp;Shi Lu","doi":"10.1016/j.heha.2022.100034","DOIUrl":"https://doi.org/10.1016/j.heha.2022.100034","url":null,"abstract":"<div><p>As an alternative to legacy perfluorooctane sulfonate (PFOS), the wide usage of chlorinated polyfluoroalkyl ether sulfonic acid (Cl-PFESA) in China has generated considerable concerns. The study aimed to investigate the associations between cord serum emerging Cl-PFESA (6:2 Cl-PFESA and 8:2 Cl-PFESA) levels and suboptimal birth size, including low birth weight (LBW), macrosomia, small or large for gestational age (SGA or LGA) among 1048 newborns in Wuhan, China. 6:2 Cl-PFESA and 8:2 Cl-PFESA were 0.76 ng/mL and 0.03 ng/mL, respectively, higher than previously reported levels in newborns from other cities in China. We did not find significant associations between the Cl-PFESAs and suboptimal birth size when considering each Cl-PFESA as a single exposure. However, when integrating emerging Cl-PFESAs and legacy PFASs (PFOS and perfluorooctanoate acid (PFOA)) as a mixture using Bayesian kernel machine regression (BKMR) models, we found that the mixture of legacy PFASs and emerging Cl-PFESAs had inverse associations with SGA and LGA. Two legacy PFASs and two Cl-PFESAs had similar contributions to the association with SGA, whereas the majority of the association with LGA was driven by PFOS. The results demonstrated these legacy PFASs were still the predominant PFASs associated with suboptimal birth size while emerging Cl-PFESAs had a less but nonnegligible contribution to the association with SGA. Further studies in different regions with varied Cl-PFESA levels are needed to replicate the associations.</p></div>","PeriodicalId":73269,"journal":{"name":"Hygiene and environmental health advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773049222000344/pdfft?md5=063f8eb3a2ad08794a6cf7476dede3cb&pid=1-s2.0-S2773049222000344-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136967799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}