Epidemiology and Health

Original Article

Association between PM_2.5 exposure and risk of Parkinson’s disease in individuals with chronic obstructive pulmonary disease in Taiwan: a nested case-control study: Ci-Wen Luo, Yu-Hsiang Kuan, Wen-Ying Chen, Chun-Jung Chen, Frank Cheau-Feng Lin, Stella Chin-Shaw Tsai; Epidemiol Health. 2023;45:e2023094. Published online October 17, 2023; DOI: https://doi.org/10.4178/epih.e2023094

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Abstract Summary PDF: Abstract
OBJECTIVES
This cohort study investigated the correlation between Parkinson’s disease (PD) risk and chronic obstructive pulmonary disease (COPD) risk under particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5) exposure.
METHODS
Data from the National Health Research Institutes of Taiwan were used in this study. The Environmental Protection Administration of Taiwan established an air quality monitoring network for monitoring Taiwan’s general air quality. COPD was indicated by at least 3 outpatient records and 1 hospitalization for COPD. After the implementation of age, sex, and endpoint matching at a 1:4 ratio, 137 patients and 548 patients were included in the case group and control group, respectively. Based on the 2005 World Health Organization (WHO) standards, monthly air particle concentration data were classified into the following 4 groups in analyses of exposure–response relationships: normal level, and 1.0, 1.5, and 2.0 times the WHO level ([concentration ≥2]×25 μg/m3×number of exposure months).
RESULTS
A multivariate logistic regression revealed that the 1.0 and 1.5 WHO level groups did not significantly differ from the normal level group, but the 2.0 WHO level did (odds ratio, 4.091; 95% confidence interval, 1.180 to 14.188; p=0.038).
CONCLUSIONS
Elevated PM2.5 concentrations were significantly correlated with an increased risk of PD among patients with COPD. Furthermore, exposure to high PM2.5 levels can further increase the risk of PD.; Summary

Key Message
This nested case-control study, utilizing data from Taiwan's National Health Research Institutes and after meticulous matching, found that higher exposure to PM2.5 was associated with an increased risk of developing Parkinson's disease among individuals with chronic obstructive pulmonary disease, with those exposed to PM2.5 levels at 2 times the WHO standards having a 4 times higher odds of Parkinson's disease compared to those exposed to normal levels, indicating that air pollution may exacerbate neurological disease risk in those with existing respiratory conditions.

Data Profile

Integrated dataset of the Korean Genome and Epidemiology Study cohort with estimated air pollution data: Hae Dong Woo, Dae Sub Song, Sun Ho Choi, Jae Kyung Park, Kyoungho Lee, Hui-Young Yun, Dae-Ryun Choi, Youn-Seo Koo, Hyun-Young Park; Epidemiol Health. 2022;44:e2022071. Published online September 7, 2022; DOI: https://doi.org/10.4178/epih.e2022071

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Abstract

Public concern about the adverse health effects of air pollution has grown rapidly in Korea, and there has been increasing demand for research on ways to minimize the health effects of air pollution. Integrating large epidemiological data and air pollution exposure levels can provide a data infrastructure for studying ambient air pollution and its health effects. The Korean Genome and Epidemiology Study (KoGES), a large population-based study, has been used in many epidemiological studies of chronic diseases. Therefore, KoGES cohort data were linked to air pollution data as a national resource for air pollution studies. Air pollution data were produced using community multiscale air quality modeling with additional adjustment of monitoring data, satellite-derived aerosol optical depth, normalized difference vegetation index, and meteorological data to increase the accuracy and spatial resolution. The modeled air pollution data were linked to the KoGES cohort based on participants’ geocoded residential addresses in grids of 1 km (particulate matter) or 9 km (gaseous air pollutants and meteorological variables). As the integrated data become available to all researchers, this resource is expected to serve as a useful infrastructure for research on the health effects of air pollution.

Summary

Korean summary
대기오염이 건강에 미치는 정도를 파악하고 이를 최소화하는 과학적 근거 생산 마련을 위하여 한국인유전체역학조사사업(KoGES) 자료와 대기오염 및 기상 자료를 연계하여 연구 기반을 마련하고자 하였다. 배출량, 기상자료 및 공기의 확산 등을 고려하는 화학수송모델(CMAQ)을 통하여 2005년에서 2017년 사이의 대기오염 및 기상자료를 예측하였으며, 이후 관측소 자료 및 인공위성자료인 에어로졸 광화학두께(AOD)를 추가 적용하여 최종 생산하였다. 미세먼지 자료는 1 km 격자로 기체상 오염물질 및 기상 자료는 9 km 격자 단위로 구성되었다. 생산된 자료는 KoGES 참여자의 주소를 기반으로 연계하여 최종 KoGES-대기오염 연계DB를 구축하였으며, 구축된 자료를 이용하여 KoGES 참여자의 대기오염 노출 수준을 공간적 시간적 분포로 살펴보았다. 구축된 자료는 내외부 연구자에게 공개가 되고 있어 대기오염에 의한 건강영향평가 및 피해를 최소화하는 방안 마련 연구를 위한 좋은 기반 자료가 될 것으로 기대된다.

Key Message
The Korean Genome and Epidemiology Study (KoGES) cohort were linked to air pollution data as a national resource for studying air pollution and its health effect. Air pollution data (2005~2017) were produced using community multiscale air quality modeling with additional adjustment of monitoring data, satellite-derived aerosol optical depth, normalized difference vegetation index, and meteorological data to increase the accuracy and spatial resolution. The modelled air pollution data were linked to the cohort based on participants’ geocoded residential addresses in grids of 1 km (particulate matter) or 9 km (gaseous air pollutants and meteorological variables).

Citations

Citations to this article as recorded by

Association between short-term exposure to ambient air pollutants and biomarkers indicative of inflammation and oxidative stress: a cross-sectional study using KoGES-HEXA data
Ji Hyun Kim, Hae Dong Woo, Jane J Lee, Dae Sub Song, Kyoungho Lee
Environmental Health and Preventive Medicine.2024; 29: 17. CrossRef
Edible mushroom intake and risk of all-cause and cause-specific mortality: results from the Korean Genome and Epidemiology Study (KoGES) Cohort
Hyein Jung, JiAe Shin, Kyungjoon Lim, Sangah Shin
Food & Function.2023; 14(19): 8829. CrossRef
Association between ambient particulate matter levels and hypertension: results from the Korean Genome and Epidemiology Study
Sewhan Na, Jong-Tae Park, Seungbeom Kim, Jinwoo Han, Saemi Jung, Kyeongmin Kwak
Annals of Occupational and Environmental Medicine.2023;[Epub] CrossRef

Original Article

Effect modification of consecutive high concentration days on the association between fine particulate matter and mortality: a multi-city study in Korea: Hyungryul Lim, Sanghyuk Bae, Jonghyuk Choi, Kyung-Hwa Choi, Hyun-Joo Bae, Soontae Kim, Mina Ha, Ho-Jang Kwon; Epidemiol Health. 2022;44:e2022052. Published online June 9, 2022; DOI: https://doi.org/10.4178/epih.e2022052

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Abstract Summary PDF Supplementary Material: Abstract
OBJECTIVES
Although there is substantial evidence for the short-term effect of fine particulate matter (PM2.5) on daily mortality, few epidemiological studies have explored the effect of prolonged continuous exposure to high concentrations of PM2.5. This study investigated how the magnitude of the mortality effect of PM2.5 exposure is modified by persistent exposure to high PM2.5 concentrations.
METHODS
We analyzed data on the daily mortality count, simulated daily PM2.5 level, mean daily temperature, and relative humidity level from 7 metropolitan cities from 2006 to 2019. Generalized additive models (GAMs) with quasi-Poisson distribution and random-effects meta-analyses were used to pool city-specific effects. To investigate the effect modification of continuous exposure to prolonged high concentrations, we applied categorical consecutive-day variables to the GAMs as effect modification terms for PM2.5.
RESULTS
The mortality risk increased by 0.33% (95% confidence interval [CI], 0.16 to 0.50), 0.47% (95% CI, -0.09 to 1.04), and 0.26% (95% CI, -0.08 to 0.60) for all-cause, respiratory, and cardiovascular diseases, respectively, with a 10 μg/m3 increase in PM2.5 concentration. The risk of all-cause mortality per 10 μg/m3 increase in PM2.5 on the first and fourth consecutive days significantly increased by 0.63% (95% CI, 0.20 to 1.06) and 0.36% (95% CI, 0.01 to 0.70), respectively.
CONCLUSIONS
We found increased risks of all-cause, respiratory, and cardiovascular mortality related to daily PM2.5 exposure on the day when exposure to high PM2.5 concentrations began and when exposure persisted for more than 4 days with concentrations of ≥35 μg/m3. Persistently high PM2.5 exposure had a stronger effect on seniors.; Summary

Korean summary
한국의 7개 대도시를 배경으로 수행한 본 시계열 연구를 통하여 2006년부터 2019년까지의 기간 동안에 초미세먼지의 단기 노출이 일별 사망률을 증가시키며, 교호작용모형을 통해 일평균 35 μg/m3 이상의 고농도 지속기간이 처음 시작되는 날과 넷째 지속일에 이러한 사망효과가 커짐을 보고하였다. 이러한 고농도 지속기간의 교호작용은 65세 이상 연령군에서 더욱 두드러졌다.

Key Message
With our Korean multi-city study design from 2006 to 2019, the short-term effects of PM2.5 on mortality were greater when the high PM2.5 concentration duration began during the day and lasted for approximately 4 days, and the elderly may be more affected by persistently high PM2.5.

Data Profile

Establishment of the Korea National Health and Nutrition Examination Survey air pollution study dataset for the researchers on the health impact of ambient air pollution: Myung-Jae Hwang, Jisun Sung, Miryoung Yoon, Jong-Hun Kim, Hui-Young Yun, Dae-Ryun Choi, Youn-Seo Koo, Kyungwon Oh, Sungha Yun, Hae-Kwan Cheong; Epidemiol Health. 2021;43:e2021015. Published online February 8, 2021; DOI: https://doi.org/10.4178/epih.e2021015

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Abstract

To provide a nationwide representative dataset for the study on health impact of air pollution, we combined the data from the Korea National Health and Nutrition Examination Survey with the daily air quality and weather data by matching the date of examination and the residential address of the participants. The database of meteorological factors and air quality as sources of exposure data were estimated using the Community Multiscale Air Quality model. The linkage dataset was merged by three ways; administrative district, si-gun-gu (city, county, and district), and geocode (in latitude and longitude coordinate units) based on the participants’ residential address, respectively. During the study period, the exposure dataset of 85,018 individuals (38,306 men and 46,712 women) whose examination dates were recorded were obtained. According to the definition of exposure period, the dataset was combined with the data on short-term, mid-term, and long-term exposure to air pollutants and the meteorological indices. Calculation of the daily merged dataset’s average air pollution linked by si-gun-gu and geocode units showed similar results. This study generated a daily average of meteorological indices and air pollution exposure dataset for all regions including rural and remote areas in Korea for 11 years. It is expected to provide a platform for the researchers studying the health impact of air pollution and climate change on the representative population and area, which may facilitate the establishment of local health care plans by understanding the residents’ health status at the local as well as national level.

Summary

Korean summary
-2007년부터 2017년까지 11년간 국민건강영양조사의 검진조사 대상자의 검진일자와 지리정보를 기준으로 85,018명에 대해 기상 및 대기오염 모델링 자료를 결합하여 조사 대상자의 거주지주소를 이용하여 시·군·구 단위와 주소 기반 위경도 좌표를 기준으로 각각 노출자료를 결합함. -대기오염의 단기노출, 중기노출, 장기노출의 건강영향을 평가하기 위해 지연효과(lag effect)를 적용하여 각 건강자료와 결합함. -기상 및 대기오염 모델링 자료와 연계된 국민건강영양조사의 활용을 위한 data profile을 제시함.

Key Message
-We built a dataset for air pollution research by combining meteorological and air pollution modeling data through CMAQ for 85,018 individuals based on the date of examination and geographic information of the Korea National Health and Nutrition Examination Survey participants for 11 years, from 2007 to 2017. -Each exposure data was combined based on si-gun-gu (city, county, and district) and geocode (in latitude and longitude coordinate units) based on the participants’ residential address. -To evaluate the health effects of short-, medium- and long-term air pollution exposure, the lag values of days, months, and years was applied and combined with each health data. -A data profile was presented for the Korea National Health and Nutrition Examination Survey linked to meteorological and air pollution modeling data.

Citations

Citations to this article as recorded by

Association between ambient particulate matter levels and hypertension: results from the Korean Genome and Epidemiology Study
Sewhan Na, Jong-Tae Park, Seungbeom Kim, Jinwoo Han, Saemi Jung, Kyeongmin Kwak
Annals of Occupational and Environmental Medicine.2023;[Epub] CrossRef
Effect of Short- to Long-Term Exposure to Ambient Particulate Matter on Cognitive Function in a Cohort of Middle-Aged and Older Adults: KoGES
Jane J. Lee, Ji Hyun Kim, Dae Sub Song, Kyoungho Lee
International Journal of Environmental Research and Public Health.2022; 19(16): 9913. CrossRef
Long-Term Effects of Ambient Particulate and Gaseous Pollutants on Serum High-Sensitivity C-Reactive Protein Levels: A Cross-Sectional Study Using KoGES-HEXA Data
Ji Hyun Kim, Hae Dong Woo, Sunho Choi, Dae Sub Song, Jung Hyun Lee, Kyoungho Lee
International Journal of Environmental Research and Public Health.2022; 19(18): 11585. CrossRef
Effects of exposure to ambient air pollution on pulmonary function impairment in Korea: the 2007-2017 Korea National Health and Nutritional Examination Survey
Soo Beom Choi, Sungha Yun, Sun-Ja Kim, Yong Bum Park, Kyungwon Oh
Epidemiology and Health.2021; 43: e2021082. CrossRef

Brief Communication

Effects of particulate air pollution on tuberculosis development in seven major cities of Korea from 2010 to 2016: methodological considerations involving long-term exposure and time lag: Honghyok Kim, Sarah Yu, Hongjo Choi; Epidemiol Health. 2020;42:e2020012. Published online March 12, 2020; DOI: https://doi.org/10.4178/epih.e2020012

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Abstract Summary PDF

Abstract

OBJECTIVES
Epidemiological evidence of associations between ambient particulate matter (PM) and tuberculosis (TB) risk is accumulating. Two previous studies in Korea found associations between air pollution—especially sulfur dioxide (SO2)—and TB. In this study, we conducted an annual time-series cross-sectional study to assess the effect of PM with an aerodynamic diameter less than 10 μm (PM10) on TB risk in seven major cities of Korea from 2010 to 2016, taking into account time lag and long-term cumulative exposure.

METHODS

Age-standardized TB notification rates were derived using the Korea National TB Surveillance System. Annual average PM10 concentrations were obtained from annual Korean air quality reports. We applied a generalized linear mixed model with unconstrained distributed lags of exposure to PM10. We adjusted for potential confounders such as age, health behaviors, and area-level characteristics.

RESULTS

Both average annual PM10 concentrations and age-standardized TB notification rates decreased over time. The association between cumulative exposure to PM10 and TB incidence became stronger as a longer exposure duration was considered. An increase of one standard deviation (5.63 μg/m3) in PM10 exposure for six years was associated with a 1.20 (95% confidence interval, 1.17 to 1.22) times higher TB notification rate. The marginal association of exposure duration with the TB notification rate was highest at four and five years prior to TB notification. This association remained consistent even after adjusting it for exposure to SO2.

CONCLUSIONS

The findings of this study suggest that cumulative exposure to PM10 may affect TB risk, with a potential lag effect.

Summary

Korean summary
국외 연구에서 미세먼지와 결핵발생의 관련성이 종종 보고되지만, 기존의 국내 연구에서는 관련성이 없는 것으로 알려져 있다. 본 연구는 미세먼지 노출의 누적효과와 결핵발생과의 시차에 주목하여 수행했다. 연구결과 미세먼지의 누적 노출 효과가 시간적 격차는 결핵발생률과 관련이 확인되었으며, 향후 연구에서도 이와 같은 방법론적 고려가 필요하겠다

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Chan-Na Zhao, Zhiwei Xu, Peng Wang, Jie Liu, Rong Wang, Hai-Feng Pan, Fangjin Bao
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Exploring the impact of socioeconomic and natural factors on pulmonary tuberculosis incidence in China (2013–2019) using explainable machine learning: A nationwide study
Yiwen Tao, Jiaxin Zhao, Hao Cui, Lili Liu, Long He
Acta Tropica.2024; 253: 107176. CrossRef
Effects of long-term ambient air pollution exposure on township-level pulmonary tuberculosis notification rates during 2005–2017 in Ningxia, China
Igor Popovic, Ricardo J. Soares Magalhães, Yurong Yang, Shukun Yang, Boyi Yang, Guanghui Dong, Xiaolin Wei, Greg J. Fox, Melanie S. Hammer, Randall V. Martin, Aaron van Donkelaar, Erjia Ge, Guy B. Marks, Luke D. Knibbs
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Kyung-Duk Min, Sun-Young Kim, Sung-il Cho
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Risk for development of active tuberculosis in patients with chronic airway disease—a systematic review of evidence
Yohhei Hamada, Christopher J Fong, Andrew Copas, John R Hurst, Molebogeng X Rangaka
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Da-Wei Wu, Yu-Cheng Cheng, Chih-Wen Wang, Chih-Hsing Hung, Pei-Shih Chen, Stephen Chu-Sung Hu, Chun-Hung Richard Lin, Szu-Chia Chen, Chao-Hung Kuo
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Xin-Qiang Wang, Kai Huang, Xin Cheng, Cheng-Yang Hu, Kun Ding, Xiao-Jing Yang, Kang-Di Zhang, Wen-Jie Yu, Jie Wang, Ying-Qing Li, Shuang-Shuang Chen, Xiu-Jun Zhang, Xiao-Hong Kan
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International Journal of Environmental Research and Public Health.2022; 19(9): 5385. CrossRef
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Christian Akem Dimala, Benjamin Momo Kadia
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Sui Zhu, Ya Wu, Qian Wang, Lijie Gao, Liang Chen, Fangfang Zeng, Pan Yang, Yanhui Gao, Jun Yang
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Huanhuan Jia, Jiaying Xu, Liangwen Ning, Tianyu Feng, Peng Cao, Shang Gao, Panpan Shang, Xihe Yu
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Review

Road dust and its effect on human health: a literature review: Raihan K. Khan, Mark A. Strand; Epidemiol Health. 2018;40:e2018013. Published online April 10, 2018; DOI: https://doi.org/10.4178/epih.e2018013

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Abstract PDF

Abstract

The purpose of this study was to determine the effects of road dust on human health. A PubMed search was used to extract references that included the words “road dust” and “health” or “fugitive dust” and “health” in the title or abstract. A total of 46 references were extracted and selected for review after the primary screening of 949 articles. The respiratory system was found to be the most affected system in the human body. Lead, platinum-group elements (platinum, rhodium, and bohrium), aluminum, zinc, vanadium, and polycyclic aromatic hydrocarbons were the components of road dust that were most frequently referenced in the articles reviewed. Road dust was found to have harmful effects on the human body, especially on the respiratory system. To determine the complex mechanism of action of various components of road dust on the human body and the results thereof, the authors recommend a further meta-analysis and extensive risk-assessment research into the health impacts of dust exposure.

Summary

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International Journal of Environmental Research and Public Health.2023; 20(3): 2465. CrossRef
Examining the Amount of Particulate Matter (PM) Emissions in Urban Areas
Branislav Šarkan, Jozef Gnap, Michal Loman, Veronika Harantová
Applied Sciences.2023; 13(3): 1845. CrossRef
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Eric S. Coker, Nikita Saha Turna, Mya Schouwenburg, Ahmad Jalil, Charles Bradshaw, Michael Kuo, Molly Mastel, Hossein Kazemian, Meghan Roushorne, Sarah B. Henderson
Journal of the Air & Waste Management Association.2023; 73(6): 502. CrossRef
Health and ecological risk assessment of potentially toxic metals in road dust at Lalibela and Sekota towns, Ethiopia
Asamene Embiale Taye, Bhagwan Singh Chandravanshi
Environmental Monitoring and Assessment.2023;[Epub] CrossRef
Soil contamination in community gardens of Philadelphia and Pittsburgh, Pennsylvania
Olivia G. Bassetti, Rebecca A. McDonough, Kabindra M. Shakya
Environmental Monitoring and Assessment.2023;[Epub] CrossRef
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Akshay Kumar Singh, Manoj Kumar, Kuldeep Bauddh, Ajai Singh, Pardeep Singh, Sughosh Madhav, Sushil Kumar Shukla
Environmental Science and Pollution Research.2023; 30(33): 79587. CrossRef
Occupational respiratory morbidity and associated factors among hairdressers in Ethiopia: a cross-sectional study
Amensisa Hailu Tesfaye, Garedew Tadege Engdaw, Belay Desye, Giziew Abere
BMJ Open.2023; 13(6): e074299. CrossRef
Impacts of Indoor Dust Exposure on Human Colonic Cell Viability, Cytotoxicity and Apoptosis
Noura Abdulrahman, Trenton J. Honda, Ayat Ali, Nabras Abdulrahman, Daniel Vrinceanu, Shishir Shishodia
Toxics.2023; 11(7): 633. CrossRef
Effects of Road Dust Particle Size on Mineralogy, Chemical Bulk Content, Pollution and Health Risk Analyses
Dídac Navarro-Ciurana, Mercè Corbella, Daniel Meroño
International Journal of Environmental Research and Public Health.2023; 20(17): 6655. CrossRef
Dynamics of pre-shift and post-shift lung function parameters among wood workers in Ghana
John Ekman, Philip Quartey, Abdala Mumuni Ussif, Niklas Ricklund, Daniel Lawer Egbenya, Gideon Akuamoah Wiafe, Korantema Mawuena Tsegah, Akua Karikari, Håkan Löfstedt, Francis Tanam Djankpa
Annals of Occupational and Environmental Medicine.2023;[Epub] CrossRef
The Long-Term Mortality Effects Associated with Exposure to Particles and NOx in the Malmö Diet and Cancer Cohort
Henrik Olstrup, Erin Flanagan, Jan-Olov Persson, Ralf Rittner, Hanne Krage Carlsen, Leo Stockfelt, Yiyi Xu, Lars Rylander, Susanna Gustafsson, Mårten Spanne, Daniel Oudin Åström, Gunnar Engström, Anna Oudin
Toxics.2023; 11(11): 913. CrossRef
Reduction of Outdoor and Indoor PM2.5 Source Contributions via Portable Air Filtration Systems in a Senior Residential Facility in Detroit, Michigan
Zachary M. Klaver, Ryan C. Crane, Rosemary A. Ziemba, Robert L. Bard, Sara D. Adar, Robert D. Brook, Masako Morishita
Toxics.2023; 11(12): 1019. CrossRef
Correlations between Educational Struggle, Toxic Sites by School District and Demographic Variables, with Geographical Information System Projections
Junu Shrestha, Raihan K. Khan, Shane McClintock, John DeGroote, Catherine L. Zeman
International Journal of Environmental Research and Public Health.2023; 20(24): 7160. CrossRef
A review on dust pollution levels in urban environment of Sri Lanka with special emphasis on heavy metals in dust
H. M. T. G. A. Pitawala, K. D. S. Samaradiwakara
Environment, Development and Sustainability.2023;[Epub] CrossRef
Size Distribution as a Forensic Tool to Source Apportion Ambient PM
Prem Mohan, George K. Varghese
Environmental Forensics.2023; : 1. CrossRef
Identification of places with deteriorated air quality in city of Žilina in relation to road transport
Branislav Šarkan, Michal Loman, Veronika Harantová
The Archives of Automotive Engineering – Archiwum Motoryzacji.2023; 102(4): 68. CrossRef
Analytical techniques, occurrence and health effects of micro and nano plastics deposited in street dust
Qingyue Wang, Christian Ebere Enyoh, Tanzin Chowdhury, Akhter Hossain Chowdhury
International Journal of Environmental Analytical Chemistry.2022; 102(18): 6435. CrossRef
Urban characteristics and its influence on resuspension of road dust, air quality and exposure
Dheeraj Alshetty, Shiva Nagendra S. M.
Air Quality, Atmosphere & Health.2022; 15(2): 273. CrossRef
Mutagenicity of PM10-bound PAHs from non-exhaust sources
Estela Domingos Vicente, Isabel Lopes, Daniela Figueiredo, Cátia Gonçalves, Ana Vicente, Célia Alves
Air Quality, Atmosphere & Health.2022; 15(4): 657. CrossRef
Toxic metal concentrations and Cu–Zn–Pb isotopic compositions in tires
Hyeryeong Jeong
Journal of Analytical Science and Technology.2022;[Epub] CrossRef
Investigations of Metal Pollution in Road Dust of Steel Industrial Area and Application of Magnetic Separation
Hyeryeong Jeong, Kongtae Ra
Sustainability.2022; 14(2): 919. CrossRef
Concentration of Microplastics in Road Dust as a Function of the Drying Period—A Case Study in G City, Korea
Heejun Kang, Saerom Park, Bokjin Lee, Ilho Kim, Seogku Kim
Sustainability.2022; 14(5): 3006. CrossRef
Iron Speciation in Respirable Particulate Matter and Implications for Human Health
Peggy A. O’Day, Ajith Pattammattel, Paul Aronstein, Valerie J. Leppert, Henry Jay Forman
Environmental Science & Technology.2022; 56(11): 7006. CrossRef
Spatial distribution, pollution levels, and risk assessment of potentially toxic metals in road dust from major tourist city, Dehradun, Uttarakhand India
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Analytical strategies for the quali-quantitation of tire and road wear particles – A critical review
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TrAC Trends in Analytical Chemistry.2022; 154: 116650. CrossRef
Food processing by-products and wastes as potential dust suppressants at mine sites: Results from unconfined compressive strength testing
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Journal of the Air & Waste Management Association.2022; 72(9): 1012. CrossRef
Pollution characteristics, risk assessment, and source apportionment of potentially toxic elements in road dust at two industrial parks in Trinidad and Tobago, West Indies
Saleema Mohammed, Faisal K. Mohammed
Environmental Monitoring and Assessment.2022;[Epub] CrossRef
Levels and Factors of the Accumulation of Metals and Metalloids in Roadside Soils, Road Dust, and Their PM10 Fraction in the Western Okrug of Moscow
D. V. Vlasov, O. V. Kukushkina, N. E. Kosheleva, N. S. Kasimov
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Risk of Cerebro-Cardiovascular Diseases among Police Officers and Firefighters: A Nationwide Retrospective Cohort Study
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Yonsei Medical Journal.2022; 63(6): 585. CrossRef
Characterisation of non-exhaust emissions from road traffic in Lisbon
I. Cunha-Lopes, C.A. Alves, I. Casotti Rienda, T. Faria, F. Lucarelli, X. Querol, F. Amato, S.M. Almeida
Atmospheric Environment.2022; 286: 119221. CrossRef
Short-Term Associations between PM10 and Respiratory Health Effects in Visby, Sweden
Andreas Tornevi, Henrik Olstrup, Bertil Forsberg
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Thuy Thi Thu Nguyen, Anh Quoc Hoang, Xuan Truong Vuong, Vinh Dinh Nguyen, Giang Hoang Pham, Tu Binh Minh
International Journal of Environmental Analytical Chemistry.2022; : 1. CrossRef
Multi-method approach for analysis of road dust particles: elemental ratios, SP-ICP-TOF-MS, and TEM
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Environmental Science: Nano.2022; 9(10): 3859. CrossRef
Trace element mass fractions in road dust as a function of distance from road
Shaodan Huang, Pablo Taddei, Joy Lawrence, Marco A.G. Martins, Jing Li, Petros Koutrakis
Journal of the Air & Waste Management Association.2021; 71(2): 137. CrossRef
A survey of heavy metal contents of rural and urban roadside dusts: comparisons at low, medium and high traffic sites in Central Scotland
Nicholas Cowan, David Blair, Heath Malcolm, Margaret Graham
Environmental Science and Pollution Research.2021; 28(6): 7365. CrossRef
Spatial distribution and sources of potentially toxic elements in road dust and its PM10 fraction of Moscow megacity
Dmitry Vlasov, Natalia Kosheleva, Nikolay Kasimov
Science of The Total Environment.2021; 761: 143267. CrossRef
Development and evaluation of a mobile laboratory for collecting short-duration near-road fine and coarse ambient particle and road dust samples
Marco Martins, Joy Lawrence, Stephen Ferguson, Jack M. Wolfson, Petros Koutrakis
Journal of the Air & Waste Management Association.2021; 71(2): 118. CrossRef
Indoor Air Pollution with Fine Particles and Implications for Workers’ Health in Dental Offices: A Brief Review
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Sustainability.2021; 13(2): 599. CrossRef
Air Dispersion Modelling of Coal Particles Released During Handling of Cargo at Port
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Environmental Modeling & Assessment.2021; 26(3): 371. CrossRef
Fugitive Dust Suppression in Unpaved Roads: State of the Art Research Review
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Sustainability.2021; 13(4): 2399. CrossRef
Thoracic Fraction (PM10) of Resuspended Urban Dust: Geochemistry, Particle Size Distribution and Lung Bioaccessibility
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Journal of Hazardous Materials.2021; 416: 125811. CrossRef
Quantification of tire wear particles in road dust from industrial and residential areas in Seoul, Korea
Jong-Sang Youn, Young-Min Kim, Muhammad Zain Siddiqui, Atsushi Watanabe, Sehyun Han, Sangmin Jeong, Yong-Won Jung, Ki-Joon Jeon
Science of The Total Environment.2021; 784: 147177. CrossRef
Fourteen pathways between urban transportation and health: A conceptual model and literature review
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Journal of Transport & Health.2021; 21: 101070. CrossRef
Loss of E-cadherin due to road dust PM2.5 activates the EGFR in human pharyngeal epithelial cells
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Environmental Science and Pollution Research.2021; 28(38): 53872. CrossRef
Thiol modified bimodal mesoporous silica nanoparticles for removal and determination toxic vanadium from air and human biological samples in petrochemical workers
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Non-exhaust vehicle emissions of particulate matter and VOC from road traffic: A review
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Atmospheric Environment.2021; 262: 118592. CrossRef
Ecological and human health risk evaluation using pollution indices: A case study of the largest mangrove ecosystem of Bangladesh
Md. Solaiman Hossain, M. Belal Hossain, Md. Refat Jahan Rakib, Y.N. Jolly, Md. Akram Ullah, Michael Elliott
Regional Studies in Marine Science.2021; 47: 101913. CrossRef
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Science of The Total Environment.2021; 799: 149347. CrossRef
Spatial Distribution and Chemical Composition of Road Dust in Two High-Altitude Latin American Cities
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Atmosphere.2021; 12(9): 1109. CrossRef
Alterations to the urinary metabolome following semi-controlled short exposures to ultrafine particles at a major airport
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International Journal of Hygiene and Environmental Health.2021; 237: 113803. CrossRef
Human Health Risk Assessment of Heavy Metals in the Urban Road Dust of Zhengzhou Metropolis, China
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Atmosphere.2021; 12(9): 1213. CrossRef
Characteristics of Potentially Toxic Elements, Risk Assessments, and Isotopic Compositions (Cu-Zn-Pb) in the PM10 Fraction of Road Dust in Busan, South Korea
Hyeryeong Jeong, Kongtae Ra
Atmosphere.2021; 12(9): 1229. CrossRef
Characteristics and Extent of Particulate Matter Emissions of a Ropeway Public Mobility System in the City Center of Perugia (Central Italy)
Beatrice Moroni, Stefano Crocchianti, Federica Bruschi, Chiara Petroselli, Alessandro Di Menno di Bucchianico, Giorgio Cattani, Luca Ferrero, David Cappelletti
Atmosphere.2021; 12(10): 1356. CrossRef
Associations between Dust Exposure and Hospitalizations in El Paso, Texas, USA
Estrella Herrera-Molina, Thomas E. Gill, Gabriel Ibarra-Mejia, Soyoung Jeon
Atmosphere.2021; 12(11): 1413. CrossRef
Global Systematic Mapping of Road Dust Research from 1906 to 2020: Research Gaps and Future Direction
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Sustainability.2021; 13(20): 11516. CrossRef
Seasonal Variations in the Daily Mortality Associated with Exposure to Particles, Nitrogen Dioxide, and Ozone in Stockholm, Sweden, from 2000 to 2016
Henrik Olstrup, Christer Johansson, Bertil Forsberg, Christofer Åström, Hans Orru
Atmosphere.2021; 12(11): 1481. CrossRef
Quantification and Characterization of Metals in Ultrafine Road Dust Particles
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Atmosphere.2021; 12(12): 1564. CrossRef
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Atmospheric Research.2020; 234: 104689. CrossRef
Geochemical, Mineralogical and Morphological Characterisation of Road Dust and Associated Health Risks
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International Journal of Environmental Research and Public Health.2020; 17(5): 1563. CrossRef
Temporal and spatial variations of microplastics in roadside dust from rural and urban Victoria, Australia: Implications for diffuse pollution
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Chemosphere.2020; 252: 126567. CrossRef
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Urban Climate.2020; 32: 100638. CrossRef
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Progress and Challenges on Battery Waste Management :A Critical Review
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ChemistrySelect.2020; 5(20): 6182. CrossRef
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Utilization of road dust chemical profiles for source identification and human health impact assessment
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Scientific Reports.2020;[Epub] CrossRef
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International Journal of Environmental Research and Public Health.2020; 17(19): 7124. CrossRef
Spatial distribution, pollution index, receptor modelling and health risk assessment of metals in road dust from Lagos metropolis, Southwestern Nigeria
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Productization of Industrial Side Streams into By-Products—Case: Fiber Sludge from Pulp and Paper Industry
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Multidisciplinary Respiratory Medicine.2020;[Epub] CrossRef
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Science of The Total Environment.2019; 652: 413. CrossRef
Elemental evaluation of urban road dirt via three analytical techniques
Abdullah Alsubaie, L. Alsulaiti, Eman Daar, Abdullah N. Al-Dabbous, Mariem Chamakh, Maisarah Jaafar, D.A. Bradley
Radiation Physics and Chemistry.2019; 165: 108444. CrossRef
Impact of Varying Wind Patterns on PM10 Concentrations in the Seoul Metropolitan Area in South Korea from 2012 to 2016
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Journal of Applied Meteorology and Climatology.2019; 58(12): 2743. CrossRef

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