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Mahakalkar AU, Gianquintieri L, Amici L, Brovelli MA, Caiani EG. Geospatial analysis of short-term exposure to air pollution and risk of cardiovascular diseases and mortality-A systematic review. CHEMOSPHERE 2024; 353:141495. [PMID: 38373448 DOI: 10.1016/j.chemosphere.2024.141495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 02/15/2024] [Accepted: 02/16/2024] [Indexed: 02/21/2024]
Abstract
The cardiovascular risk associated with short-term ambient air pollution exposure is well-documented. However, recent advancements in geospatial techniques have provided new insights into this risk. This systematic review focuses on short-term exposure studies that applied advanced geospatial pollution modelling to estimate cardiovascular disease (CVD) risk and accounted for additional unconventional neighbourhood-level confounders to analyse their modifier effect on the risk. Four databases were investigated to select publications between 2018 and 2023 that met the inclusion criteria of studying the effect of particulate matter (PM2.5 and PM10), SO2, NOx, CO, and O3 on CVD mortality or morbidity, utilizing pollution modelling techniques, and considering spatial and temporal confounders. Out of 3277 publications, 285 were identified for full-text review, of which 34 satisfied the inclusion criteria for qualitative analysis, and 12 of them were chosen for additional quantitative analysis. Quality assessment revealed that 28 out of 34 included articles scored 4 or above, indicating high quality. In 30 studies, advanced pollution modelling techniques were used, while in 4 only simpler methods were applied. The most pertinent confounders identified were socio-demographic variables (e.g., socio-economic status, population percentage by race or ethnicity) and neighbourhood-level built environment variables (e.g., urban/rural area, percentage of green space, proximity to healthcare), which exhibited varying modifier effects depending on the context. In the quantitative analysis, only PM 2.5 showed a significant positive association to all-cause CVD-related hospitalisation. Other pollutants did not show any significant effect, likely due to the high inter-study heterogeneity and a limited number of cases. The application of advanced geospatial measurement and modelling of air pollution exposure, as well as its risk, is increasing. This review underscores the importance of accounting for unconventional neighbourhood-level confounders to enhance the understanding of the CVD risk associated with short-term pollution exposure.
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Affiliation(s)
- Amruta Umakant Mahakalkar
- Politecnico di Milano, Electronics, Information and Bioengineering Dpt., Milan, Italy; University School for Advanced Studies IUSS, Pavia, Italy
| | - Lorenzo Gianquintieri
- Politecnico di Milano, Electronics, Information and Bioengineering Dpt., Milan, Italy.
| | - Lorenzo Amici
- Politecnico di Milano, Civil and Environmental Engineering Dpt., Milan, Italy
| | | | - Enrico Gianluca Caiani
- Politecnico di Milano, Electronics, Information and Bioengineering Dpt., Milan, Italy; IRCCS Istituto Auxologico Italiano, Milan, Italy
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Sun Y, Milando CW, Spangler KR, Wei Y, Schwartz J, Dominici F, Nori-Sarma A, Sun S, Wellenius GA. Short term exposure to low level ambient fine particulate matter and natural cause, cardiovascular, and respiratory morbidity among US adults with health insurance: case time series study. BMJ 2024; 384:e076322. [PMID: 38383039 PMCID: PMC10879982 DOI: 10.1136/bmj-2023-076322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/17/2024] [Indexed: 02/23/2024]
Abstract
OBJECTIVE To estimate the excess relative and absolute risks of hospital admissions and emergency department visits for natural causes, cardiovascular disease, and respiratory disease associated with daily exposure to fine particulate matter (PM2.5) at concentrations below the new World Health Organization air quality guideline limit among adults with health insurance in the contiguous US. DESIGN Case time series study. SETTING US national administrative healthcare claims database. PARTICIPANTS 50.1 million commercial and Medicare Advantage beneficiaries aged ≥18 years between 1 January 2010 and 31 December 2016. MAIN OUTCOME MEASURES Daily counts of hospital admissions and emergency department visits for natural causes, cardiovascular disease, and respiratory disease based on the primary diagnosis code. RESULTS During the study period, 10.3 million hospital admissions and 24.1 million emergency department visits occurred for natural causes among 50.1 million adult enrollees across 2939 US counties. The daily PM2.5 levels were below the new WHO guideline limit of 15 μg/m3 for 92.6% of county days (7 360 725 out of 7 949 713). On days when daily PM2.5 levels were below the new WHO air quality guideline limit of 15 μg/m3, an increase of 10 μg/m3 in PM2.5 during the current and previous day was associated with higher risk of hospital admissions for natural causes, with an excess relative risk of 0.91% (95% confidence interval 0.55% to 1.26%), or 1.87 (95% confidence interval 1.14 to 2.59) excess hospital admissions per million enrollees per day. The increased risk of hospital admissions for natural causes was observed exclusively among adults aged ≥65 years and was not evident in younger adults. PM2.5 levels were also statistically significantly associated with relative risk of hospital admissions for cardiovascular and respiratory diseases. For emergency department visits, a 10 μg/m3 increase in PM2.5 during the current and previous day was associated with respiratory disease, with an excess relative risk of 1.34% (0.73% to 1.94%), or 0.93 (0.52 to 1.35) excess emergency department visits per million enrollees per day. This association was not found for natural causes or cardiovascular disease. The higher risk of emergency department visits for respiratory disease was strongest among middle aged and young adults. CONCLUSIONS Among US adults with health insurance, exposure to ambient PM2.5 at concentrations below the new WHO air quality guideline limit is statistically significantly associated with higher rates of hospital admissions for natural causes, cardiovascular disease, and respiratory disease, and with emergency department visits for respiratory diseases. These findings constitute an important contribution to the debate about the revision of air quality limits, guidelines, and standards.
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Affiliation(s)
- Yuantong Sun
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Chad W Milando
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Keith R Spangler
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Yaguang Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Francesca Dominici
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Amruta Nori-Sarma
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Shengzhi Sun
- School of Public Health, Capital Medical University, Beijing 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education Guizhou Medical University, Guiyang, China
| | - Gregory A Wellenius
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
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Wu Y, Liu X, Gao L, Sun X, Hong Q, Wang Q, Kang Z, Yang C, Zhu S. Short-term exposure to extreme temperature and outpatient visits for respiratory diseases among children in the northern city of China: a time-series study. BMC Public Health 2024; 24:341. [PMID: 38302889 PMCID: PMC10832290 DOI: 10.1186/s12889-024-17814-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 01/19/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Although studies have indicated that extreme temperature is strongly associated with respiratory diseases, there is a dearth of studies focused on children, especially in China. We aimed to explore the association between extreme temperature and children's outpatient visits for respiratory diseases and seasonal modification effects in Harbin, China. METHODS A distributed lag nonlinear model (DLNM) was used to explore the effect of extreme temperature on daily outpatient visits for respiratory diseases among children, as well as lag effects and seasonal modification effects. RESULTS Extremely low temperatures were defined as the 1st percentile and 2.5th percentile of temperature. Extremely high temperatures were defined as the 97.5th percentile and 99th percentile of temperature. At extremely high temperatures, both 26 °C (97.5th) and 27 °C (99th) showed adverse effects at lag 0-6 days, with relative risks (RRs) of 1.34 [95% confidence interval (CI): 1.21-1.48] and 1.38 (95% CI: 1.24-1.53), respectively. However, at extremely low temperatures, both - 26 °C (1st) and - 23 °C (2.5th) showed protective effects on children's outpatient visits for respiratory diseases at lag 0-10 days, with RRs of 0.86 (95% CI: 0.76-0.97) and 0.85 (95% CI: 0.75-0.95), respectively. We also found seasonal modification effects, with the association being stronger in the warm season than in the cold season at extremely high temperatures. CONCLUSIONS Our study indicated that extremely hot temperatures increase the risk of children's outpatient visits for respiratory diseases. Efforts to reduce the exposure of children to extremely high temperatures could potentially alleviate the burden of pediatric respiratory diseases, especially during the warm season.
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Affiliation(s)
- Ya Wu
- Department of Epidemiology and Statistics, School of Medicine, Jinan University, Guangzhou, 510632, China
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Xiaobo Liu
- Department of Environment, Harbin Center for Disease Control and Prevention, Harbin, 150056, China
| | - Lijie Gao
- Department of Epidemiology and Statistics, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Xiaohong Sun
- Department of Physicochemical Laboratory, Harbin Center for Disease Control and Prevention, Harbin, 150056, China
| | - Qianqi Hong
- Department of Environment, Harbin Center for Disease Control and Prevention, Harbin, 150056, China
| | - Qian Wang
- Department of Epidemiology and Statistics, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Zhen Kang
- Department of Environment, Harbin Center for Disease Control and Prevention, Harbin, 150056, China
| | - Chao Yang
- Harbin Center for Disease Control and Prevention, Harbin, 150056, China.
| | - Sui Zhu
- Department of Epidemiology and Statistics, School of Medicine, Jinan University, Guangzhou, 510632, China.
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Navaratnam AMD, Williams H, Sharp SJ, Woodcock J, Khreis H. Systematic review and meta-analysis on the impact of COVID-19 related restrictions on air quality in low- and middle-income countries. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:168110. [PMID: 37884141 DOI: 10.1016/j.scitotenv.2023.168110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 10/19/2023] [Accepted: 10/23/2023] [Indexed: 10/28/2023]
Abstract
BACKGROUND Low- and middle-income countries (LMIC) are disproportionately affected by air pollution and its health burden, representing a global inequity. The COVID-19 pandemic provided a unique opportunity to investigate the impact of unprecedented lockdown measures on air pollutant concentrations globally. We aim to quantify air pollutant concentration changes across LMIC settings as a result of COVID-19 restrictions. METHODS Searches for this systematic review and meta-analysis were carried out across five databases on 30th March 2022; MEDLINE, Embase, Web of Science, Scopus and Transport Research Information Documentation. Modelling and observational studies were included, as long as the estimates reflected city or town level data and were taken exclusively in pre-lockdown and lockdown periods. Mean percentage changes per pollutant were calculated and meta-analyses were carried out to calculate mean difference in measured ground-level observed concentrations for each pollutant (PROSPERO CRD42022326924). FINDINGS Of the 2982 manuscripts from initial searches, 256 manuscripts were included providing 3818 percentage changes of all pollutants. No studies included any countries from Sub-Saharan Africa and 34 % and 39.4 % of studies were from China and India, respectively. There was a mean percentage change of -37.4 %, -21.7 %, -54.6 %, -39.1 %, -48.9 %, 16.9 %, -34.9 %, -30.6 % and - 14.7 % for black carbon (BC), carbon monoxide (CO), nitric oxide (NO), nitrogen dioxide (NO2), oxides of nitrogen (NOx), ozone (O3), particulate matter 10 (PM10) and 2.5 (PM2.5) and sulphur dioxide (SO2), respectively. Meta-analysis included 100 manuscripts, providing 908 mean concentration differences, which showed significant reduction in mean concentration in all study settings for BC (-0.46 μg/m3, PI -0.85; -0.08), CO (-0.25 mg/m3, PI -0.44; -0.03), NO2 (-19.41 μg/m3, PI -31.14; -7.68) and NOx (-22.32 μg/m3, PI -40.94; -3.70). INTERPRETATION The findings of this systematic review and meta-analysis quantify and confirm the trends reported across the globe in air pollutant concentration, including increases in O3. Despite the majority of global urban growth occurring in LMIC, there are distinct geographical gaps in air pollution data and, where it is available, differing approaches to analysis and reporting.
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Affiliation(s)
| | - Harry Williams
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Stephen J Sharp
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - James Woodcock
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Haneen Khreis
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
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Soares AG, Teixeira SA, Thakore P, Santos LG, Filho WDRP, Antunes VR, Muscará MN, Brain SD, Costa SKP. Disruption of Atrial Rhythmicity by the Air Pollutant 1,2-Naphthoquinone: Role of Beta-Adrenergic and Sensory Receptors. Biomolecules 2023; 14:57. [PMID: 38254656 PMCID: PMC10813334 DOI: 10.3390/biom14010057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/24/2023] [Accepted: 12/27/2023] [Indexed: 01/24/2024] Open
Abstract
The combustion of fossil fuels contributes to air pollution (AP), which was linked to about 8.79 million global deaths in 2018, mainly due to respiratory and cardiovascular-related effects. Among these, particulate air pollution (PM2.5) stands out as a major risk factor for heart health, especially during vulnerable phases. Our prior study showed that premature exposure to 1,2-naphthoquinone (1,2-NQ), a chemical found in diesel exhaust particles (DEP), exacerbated asthma in adulthood. Moreover, increased concentration of 1,2-NQ contributed to airway inflammation triggered by PM2.5, employing neurogenic pathways related to the up-regulation of transient receptor potential vanilloid 1 (TRPV1). However, the potential impact of early-life exposure to 1,2-naphthoquinone (1,2-NQ) on atrial fibrillation (AF) has not yet been investigated. This study aims to investigate how inhaling 1,2-NQ in early life affects the autonomic adrenergic system and the role played by TRPV1 in these heart disturbances. C57Bl/6 neonate male mice were exposed to 1,2-NQ (100 nM) or its vehicle at 6, 8, and 10 days of life. Early exposure to 1,2-NQ impairs adrenergic responses in the right atria without markedly affecting cholinergic responses. ECG analysis revealed altered rhythmicity in young mice, suggesting increased sympathetic nervous system activity. Furthermore, 1,2-NQ affected β1-adrenergic receptor agonist-mediated positive chronotropism, which was prevented by metoprolol, a β1 receptor blocker. Capsazepine, a TRPV1 blocker but not a TRPC5 blocker, reversed 1,2-NQ-induced cardiac changes. In conclusion, neonate mice exposure to AP 1,2-NQ results in an elevated risk of developing cardiac adrenergic dysfunction, potentially leading to atrial arrhythmia at a young age.
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Affiliation(s)
- Antonio G. Soares
- Departamento de Farmacologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, Av. Prof Lineu Prestes, 1524, São Paulo 05508-000, SP, Brazil; (A.G.S.); (S.A.T.); (L.G.S.); (M.N.M.)
- Department of Integrative Biology and Pharmacology, University of Texas Health Science Center at Houston, 6431 Fannin St., Houston, TX 77030, USA
| | - Simone A. Teixeira
- Departamento de Farmacologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, Av. Prof Lineu Prestes, 1524, São Paulo 05508-000, SP, Brazil; (A.G.S.); (S.A.T.); (L.G.S.); (M.N.M.)
| | - Pratish Thakore
- Section of Vascular Biology and Inflammation, School of Cardiovascular Medicine and Sciences, BHF Cardiovascular Centre of Research Excellence, King’s College London, Franklin-Wilkins Building, London SE1 9NH, UK;
| | - Larissa G. Santos
- Departamento de Farmacologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, Av. Prof Lineu Prestes, 1524, São Paulo 05508-000, SP, Brazil; (A.G.S.); (S.A.T.); (L.G.S.); (M.N.M.)
| | - Walter dos R. P. Filho
- Fundação Jorge Duprat Figueiredo de Segurança e Medicina do Trabalho, Ministério do Trabalho e Previdência Social, Rua Capote Valente, nº 710, São Paulo 05409-002, SP, Brazil;
| | - Vagner R. Antunes
- Departamento de Fisiologia e Biofísica, Instituto de Ciências Biomédicas, Universidade de São Paulo, Av. Prof Lineu Prestes, 1524, São Paulo 05508-000, SP, Brazil;
| | - Marcelo N. Muscará
- Departamento de Farmacologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, Av. Prof Lineu Prestes, 1524, São Paulo 05508-000, SP, Brazil; (A.G.S.); (S.A.T.); (L.G.S.); (M.N.M.)
| | - Susan D. Brain
- Section of Vascular Biology and Inflammation, School of Cardiovascular Medicine and Sciences, BHF Cardiovascular Centre of Research Excellence, King’s College London, Franklin-Wilkins Building, London SE1 9NH, UK;
| | - Soraia K. P. Costa
- Departamento de Farmacologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, Av. Prof Lineu Prestes, 1524, São Paulo 05508-000, SP, Brazil; (A.G.S.); (S.A.T.); (L.G.S.); (M.N.M.)
- Section of Vascular Biology and Inflammation, School of Cardiovascular Medicine and Sciences, BHF Cardiovascular Centre of Research Excellence, King’s College London, Franklin-Wilkins Building, London SE1 9NH, UK;
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Yang J, Dong H, Yu C, Li B, Lin G, Chen S, Cai D, Huang L, Wang B, Li M. Mortality Risk and Burden From a Spectrum of Causes in Relation to Size-Fractionated Particulate Matters: Time Series Analysis. JMIR Public Health Surveill 2023; 9:e41862. [PMID: 37812487 PMCID: PMC10637369 DOI: 10.2196/41862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 07/07/2023] [Accepted: 08/29/2023] [Indexed: 10/10/2023] Open
Abstract
BACKGROUND There is limited evidence regarding the adverse impact of particulate matters (PMs) on multiple body systems from both epidemiological and mechanistic studies. The association between size-fractionated PMs and mortality risk, as well as the burden of a whole spectrum of causes of death, remains poorly characterized. OBJECTIVE We aimed to examine the wide range of susceptible diseases affected by different sizes of PMs. We also assessed the association between PMs with an aerodynamic diameter less than 1 µm (PM1), 2.5 µm (PM2.5), and 10 µm (PM10) and deaths from 36 causes in Guangzhou, China. METHODS Daily data were obtained on cause-specific mortality, PMs, and meteorology from 2014 to 2016. A time-stratified case-crossover approach was applied to estimate the risk and burden of cause-specific mortality attributable to PMs after adjusting for potential confounding variables, such as long-term trend and seasonality, relative humidity, temperature, air pressure, and public holidays. Stratification analyses were further conducted to explore the potential modification effects of season and demographic characteristics (eg, gender and age). We also assessed the reduction in mortality achieved by meeting the new air quality guidelines set by the World Health Organization (WHO). RESULTS Positive and monotonic associations were generally observed between PMs and mortality. For every 10 μg/m3 increase in 4-day moving average concentrations of PM1, PM2.5, and PM10, the risk of all-cause mortality increased by 2.00% (95% CI 1.08%-2.92%), 1.54% (95% CI 0.93%-2.16%), and 1.38% (95% CI 0.95%-1.82%), respectively. Significant effects of size-fractionated PMs were observed for deaths attributed to nonaccidental causes, cardiovascular disease, respiratory disease, neoplasms, chronic rheumatic heart diseases, hypertensive diseases, cerebrovascular diseases, stroke, influenza, and pneumonia. If daily concentrations of PM1, PM2.5, and PM10 reached the WHO target levels of 10, 15, and 45 μg/m3, 7921 (95% empirical CI [eCI] 4454-11,206), 8303 (95% eCI 5063-11,248), and 8326 (95% eCI 5980-10690) deaths could be prevented, respectively. The effect estimates of PMs were relatively higher during hot months, among female individuals, and among those aged 85 years and older, although the differences between subgroups were not statistically significant. CONCLUSIONS We observed positive and monotonical exposure-response curves between PMs and deaths from several diseases. The effect of PM1 was stronger on mortality than that of PM2.5 and PM10. A substantial number of premature deaths could be preventable by adhering to the WHO's new guidelines for PMs. Our findings highlight the importance of a size-based strategy in controlling PMs and managing their health impact.
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Affiliation(s)
- Jun Yang
- School of Public Health, Guangzhou Medical University, Guangzhou, China
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, China
| | - Hang Dong
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University and Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Chao Yu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University and Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Bixia Li
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, China
- Guangdong University of Science and Technology, Dongguan, China
| | - Guozhen Lin
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University and Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Sujuan Chen
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, China
| | - Dongjie Cai
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, China
| | - Lin Huang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, China
| | - Boguang Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, China
| | - Mengmeng Li
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
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Sharma R, Humphrey JL, Frueh L, Kinnee EJ, Sheffield PE, Clougherty JE. Neighborhood violence and socioeconomic deprivation influence associations between acute air pollution and temperature on childhood asthma in New York city. ENVIRONMENTAL RESEARCH 2023; 231:116235. [PMID: 37244495 PMCID: PMC10364588 DOI: 10.1016/j.envres.2023.116235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/22/2023] [Accepted: 05/24/2023] [Indexed: 05/29/2023]
Abstract
Ambient air pollution, temperature, and social stressor exposures are linked with asthma risk, with potential synergistic effects. We examined associations for acute pollution and temperature exposures, with modification by neighborhood violent crime and socioeconomic deprivation, on asthma morbidity among children aged 5-17 years year-round in New York City. Using conditional logistic regression in a time-stratified, case-crossover design, we quantified percent excess risk of asthma event per 10-unit increase in daily, residence-specific exposures to PM2.5, NO2, SO2, O3, and minimum daily temperature (Tmin). Data on 145,834 asthma cases presenting to NYC emergency departments from 2005 to 2011 were obtained from the New York Statewide Planning and Research Cooperative System (SPARCS). Residence- and day-specific spatiotemporal exposures were assigned using the NYC Community Air Survey (NYCCAS) spatial data and daily EPA pollution and NOAA weather data. Point-level NYPD violent crime data for 2009 (study midpoint) was aggregated, and Socioeconomic Deprivation Index (SDI) scores assigned, by census tract. Separate models were fit for each pollutant or temperature exposure for lag days 0-6, controlling for co-exposures and humidity, and mutually-adjusted interactions (modification) by quintile of violent crime and SDI were assessed. We observed stronger main effects for PM2.5 and SO2 in the cold season on lag day 1 [4.90% (95% CI: 3.77-6.04) and 8.57% (5.99-11.21), respectively]; Tmin in the cold season on lag day 0 [2.26% (1.25-3.28)]; and NO2 and O3 in the warm season on lag days 1 [7.86% (6.66-9.07)] and 2 [4.75% (3.53-5.97)], respectively. Violence and SDI modified the main effects in a non-linear manner; contrary to hypotheses, we found stronger associations in lower-violence and -deprivation quintiles. At very high stressor exposures, although asthma exacerbations were highly prevalent, pollution effects were less apparent-suggesting potential saturation effects in socio-environmental synergism.
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Affiliation(s)
- Rachit Sharma
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
| | - Jamie L Humphrey
- Center for Health Analytics, Media & Policy, RTI International, Research Triangle Park, NC, USA
| | - Lisa Frueh
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Ellen J Kinnee
- University Center for Social and Urban Research, University of Pittsburgh, Pittsburgh, PA, USA
| | - Perry E Sheffield
- Department of Environmental Medicine and Public Health, and Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jane E Clougherty
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
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Cheng J, Zheng H, Wei J, Huang C, Ho HC, Sun S, Phung D, Kim H, Wang X, Bai Z, Hossain MZ, Tong S, Su H, Xu Z. Short-term residential exposure to air pollution and risk of acute myocardial infarction deaths at home in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:76881-76890. [PMID: 37247141 PMCID: PMC10300167 DOI: 10.1007/s11356-023-27813-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 05/17/2023] [Indexed: 05/30/2023]
Abstract
Air pollution remains a major threat to cardiovascular health and most acute myocardial infarction (AMI) deaths occur at home. However, currently established knowledge on the deleterious effect of air pollution on AMI has been limited to routinely monitored air pollutants and overlooked the place of death. In this study, we examined the association between short-term residential exposure to China's routinely monitored and unmonitored air pollutants and the risk of AMI deaths at home. A time-stratified case-crossover analysis was undertaken to associate short-term residential exposure to air pollution with 0.1 million AMI deaths at home in Jiangsu Province (China) during 2016-2019. Individual-level residential exposure to five unmonitored and monitored air pollutants including PM1 (particulate matter with an aerodynamic diameter ≤ 1 μm) and PM2.5 (particulate matter with an aerodynamic diameter ≤ 2.5 μm), SO2 (sulfur dioxide), NO2 (nitrogen dioxide), and O3 (ozone) was estimated from satellite remote sensing and machine learning technique. We found that exposure to five air pollutants, even below the recently released stricter air quality standards of the World Health Organization (WHO), was all associated with increased odds of AMI deaths at home. The odds of AMI deaths increased by 20% (95% confidence interval: 8 to 33%), 22% (12 to 33%), 14% (2 to 27%), 13% (3 to 25%), and 7% (3 to 12%) for an interquartile range increase in PM1, PM2.5, SO2, NO2, and O3, respectively. A greater magnitude of association between NO2 or O3 and AMI deaths was observed in females and in the warm season. The greatest association between PM1 and AMI deaths was found in individuals aged ≤ 64 years. This study for the first time suggests that residential exposure to routinely monitored and unmonitored air pollutants, even below the newest WHO air quality standards, is still associated with higher odds of AMI deaths at home. Future studies are warranted to understand the biological mechanisms behind the triggering of AMI deaths by air pollution exposure, to develop intervention strategies to reduce AMI deaths triggered by air pollution exposure, and to evaluate the cost-effectiveness, accessibility, and sustainability of these intervention strategies.
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Affiliation(s)
- Jian Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Hao Zheng
- Department of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Hung Chak Ho
- Department of Public and International Affairs, City University of Hong Kong , Hong Kong, China
| | - Shengzhi Sun
- School of Public Health, Capital Medical University, Beijing, China
| | - Dung Phung
- School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Australia
| | - Ho Kim
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
- Institute of Health and Environment and Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Xiling Wang
- School of Public Health, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
| | - Zhongliang Bai
- School of Health Services Management, Anhui Medical University, Hefei, China
| | - Mohammad Zahid Hossain
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Shilu Tong
- Department of Clinical Epidemiology and Biostatistics, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
- School of Public Health, Institute of Environment and Population Health, Anhui Medical University, Hefei, China
- Center for Global Health, Nanjing Medical University, Nanjing, China
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
| | - Hong Su
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Zhiwei Xu
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, 4222, Australia.
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9
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Godoy ARL, da Silva AEA. Short-term relation between air pollutants and hospitalizations for respiratory diseases: analysis by temporal association rules. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:854. [PMID: 37328713 DOI: 10.1007/s10661-023-11471-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 06/06/2023] [Indexed: 06/18/2023]
Abstract
This study investigates the relation between exposure to critical air pollution events with multipollutant (CO, PM10, PM2.5, NO2, O3, and SO2) and hospitalizations for respiratory diseases in the metropolitan area of São Paulo (RMSP) and in the countryside and coastline, from 2017 to 2021. Data mining analysis by temporal association rules searched for frequent patterns of respiratory diseases and multipollutants associated with time intervals. In the results, pollutants PM10, PM2.5, and O3 showed high concentration values in the three regions, SO2 on the coast, and NO2 in the RMSP. Seasonality was similar between pollutants and between cities and concentrations significantly higher in winter, except for O3, which was present in warm seasons. Hospitalizations were recurrent during the transition from summer to colder periods. In approximately 35% of the total days with hospitalization greater than the annual average, one or more pollutants had a high concentration. The rules showed that PM2.5, PM10, and O3 pollutants are strongly associated with increased hospitalizations in the RMSP (PM2.5 and PM10 with 38.5% support and 77% confidence) and in Campinas (PM2.5 with 66.1% support and 94% confidence) and the pollutant O3 with maximum support of 17.5%. On the coast, SO2 was related to high hospitalizations (43.85% support and 80% confidence). The pollutants CO and NO2 were not associated with the increase in hospitalizations. The ratio delay indicates the pollutants that were associated with hospitalizations, having concentration remained above the limit for three days, oscillating in smaller hospitalizations on the 1st day and again higher on the 2nd and 3rd days of delay, in a decreasing way. In conclusion, high pollutant exposure is significantly associated with daily hospitalization for respiratory problems. The cumulative effect of air pollutants increased hospitalization in the following days, in addition to identifying the pollutants and which pollutant combinations are most harmful to health in each region.
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10
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Ren J, Zhu L, Li Y, Li H, Hu Q, Zhu J, Zhang Q, Zhang Y. Intraday exposure to ambient ozone and emergency department visits among children: a case-crossover study in southern China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-27462-8. [PMID: 37209338 DOI: 10.1007/s11356-023-27462-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 05/02/2023] [Indexed: 05/22/2023]
Abstract
Most existing studies have investigated short-term associations between ozone exposure and acute disease events among children at a daily timescale, which might neglect risk effects happening within several hours after ozone exposure. In this research, we aimed to depict intraday associations between pediatric emergency department visits (PEDVs) and exposure to ozone in order to better detect ultra-short-term effects of ozone exposure on children. We obtained hourly data of all-cause PEDVs, air pollutants, and meteorological factors in Shenzhen and Guangzhou, China, 2015-2018. We applied time-stratified case-crossover design and conditional logistic regression models to estimate odds ratios per 10-μg/m3 rise of ozone concentrations at various exposure periods (e.g., 0-3, 4-6, 7-12, 13-24, 25-48, and 49-72 h) prior to PEDVs, controlling for hourly relative humidity and temperature. Subgroup analyses divided by gender, age, and season were undertaken to identify the potential susceptible population and period. A total of 358,285 cases of PEDVs were included in two cities, and hourly average concentration of ozone was 45.5 μg/m3 in Guangzhou and 58.9 μg/m3 in Shenzhen, respectively. Increased risks of PEDVs occurred within a few hours (0-3 h) after exposure to ozone and remained up to 48 h. Population risks for PEDVs increased by 0.8% (95% confidence interval, 0.6 to 1.0) in Shenzhen and 0.7% (0.5 to 0.9) in Guangzhou for a 10-μg/m3 increase in ozone concentrations at lag 4-6 h and lag 7-12 h, respectively. These findings were robust to co-exposure adjustments in our sensitivity analyses. Significantly greater ozone-associated risks were consistently observed during cold months (October to March of the following year) in both cities, while we did not identify evidence for effect modification of children's age and gender. This study provided novel evidence for increased risks of acute disease events among children within several hours after ozone exposure, highlighting the significant implications for policymakers to establish hourly air quality standards for better protecting children's health.
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Affiliation(s)
- Jiahong Ren
- Department of Pediatric Respiratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China
| | - Lifeng Zhu
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Yachen Li
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Haiyi Li
- Department of Child Gastroenterology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China
| | - Qian Hu
- Department of Pediatric Respiratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China
| | - Jian Zhu
- Department of Pediatric Respiratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China
| | - Qingyan Zhang
- Department of Pediatric Respiratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China.
| | - Yunquan Zhang
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
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11
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Gan T, Bambrick H, Tong S, Hu W. Air pollution and liver cancer: A systematic review. J Environ Sci (China) 2023; 126:817-826. [PMID: 36503807 DOI: 10.1016/j.jes.2022.05.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 05/23/2022] [Accepted: 05/24/2022] [Indexed: 06/17/2023]
Abstract
Air pollution has previously been linked to several adverse health outcomes, but the potential association between air pollution and liver cancer remains unclear. We searched PubMed, EMBASE, and Web of Science from inception to 10 October 2021, and manually reviewed the references of relevant papers to further identify any related literature investigating possible associations between air pollution and liver cancer. Risk estimates values were represented by statistical associations based on quantitative analyses. A total of 13 cohort studies obtained from 11 articles were included, with 10,961,717 participants. PM2.5 was the most frequently examined pollutant (included in 11 studies), followed by NO2 and NOx (included in 6 studies), and fewer studies focused on other pollutants (PM2.5 absorbance, PM10, PM2.5-10, O3, and BC). In all the 16 associations for liver cancer mortality, 14 associations reported the effect of PM2.5 on liver cancer mortality. Eight associations on PM2.5 were significant, showing a suggestive association between PM2.5 and liver cancer mortality. Among 24 associations shown by risk estimates for liver cancer incidence, most associations were not statistically significant. For other air pollutants, no positive associations were presented in these studies. PM2.5 was the most frequently examined pollutant, followed by NO2 and NOx, and fewer studies focused on other pollutants. PM2.5 was associated with liver cancer mortality, but there was no association for other air pollutants. Future research should use advanced statistical methods to further assess the impact of multiple air pollutants on liver cancer in the changing socio-environmental context.
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Affiliation(s)
- Ting Gan
- School of Public Health and Social Work, Queensland University of Technology, Queensland 4059, Australia
| | - Hilary Bambrick
- School of Public Health and Social Work, Queensland University of Technology, Queensland 4059, Australia; National Centre for Epidemiology and Population Health, Australian National University, Australian Capital Territory 2601, Australia
| | - Shilu Tong
- School of Public Health and Social Work, Queensland University of Technology, Queensland 4059, Australia; Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Wenbiao Hu
- School of Public Health and Social Work, Queensland University of Technology, Queensland 4059, Australia.
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12
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Dong TF, Zha ZQ, Sun L, Liu LL, Li XY, Wang Y, Meng XL, Li HB, Wang HL, Nie HH, Yang LS. Ambient nitrogen dioxide and cardiovascular diseases in rural regions: a time-series analyses using data from the new rural cooperative medical scheme in Fuyang, East China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:51412-51421. [PMID: 36809617 DOI: 10.1007/s11356-023-25922-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
Most of studies relating ambient nitrogen dioxide (NO2) exposure to hospital admissions for cardiovascular diseases (CVDs) were conducted among urban population. Whether and to what extent these results could be generalizable to rural population remains unknown. We addressed this question using data from the New Rural Cooperative Medical Scheme (NRCMS) in Fuyang, Anhui, China. Daily hospital admissions for total CVDs, ischaemic heart disease, heart failure, heart rhythm disturbances, ischaemic stroke, and haemorrhagic stroke in rural regions of Fuyang, China, were extracted from NRCMS between January 2015 and June 2017. A two-stage time-series analysis method was used to assess the associations between NO2 and CVD hospital admissions and the disease burden fractions attributable to NO2. In our study period, the average number (standard deviation) of hospital admissions per day were 488.2 (117.1) for total CVDs, 179.8 (45.6) for ischaemic heart disease, 7.0 (3.3) for heart rhythm disturbances, 13.2 (7.2) for heart failure, 267.9 (67.7) for ischaemic stroke, and 20.2 (6.4) for haemorrhagic stroke. The 10-μg/m3 increase of NO2 was related to an elevated risk of 1.9% (RR: 1.019, 95% CI: 1.005 to 1.032) for hospital admissions of total CVDs at lag0-2 days, 2.1% (1.021, 1.006 to 1.036) for ischaemic heart disease, and 2.1% (1.021, 1.006 to 1.035) for ischaemic stroke, respectively, while no significant association was observed between NO2 and hospital admissions for heart rhythm disturbances, heart failure, and haemorrhagic stroke. The attributable fractions of total CVDs, ischaemic heart disease, and ischaemic stroke to NO2 were 6.52% (1.87 to 10.94%), 7.31% (2.19 to 12.17%), and 7.12% (2.14 to 11.85%), respectively. Our findings suggest that CVD burdens in rural population are also partly attributed to short-term exposure to NO2. More studies across rural regions are required to replicate our findings.
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Affiliation(s)
- Teng-Fei Dong
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Zhen-Qiu Zha
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
- Anhui Provincial Center for Disease Control and Prevention, Hefei, 230601, Anhui, China
| | - Liang Sun
- Fuyang Center for Disease Control and Prevention, Fuyang, 236069, Anhui, China
| | - Ling-Li Liu
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Xing-Yang Li
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Yuan Wang
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Xiang-Long Meng
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Huai-Biao Li
- Fuyang Center for Disease Control and Prevention, Fuyang, 236069, Anhui, China
| | - Hong-Li Wang
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Huan-Huan Nie
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Lin-Sheng Yang
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China.
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13
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Phosri A, Ueda K, Seposo X, Honda A, Takano H. Effect modification by temperature on the association between O 3 and emergency ambulance dispatches in Japan: A multi-city study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 861:160725. [PMID: 36493818 DOI: 10.1016/j.scitotenv.2022.160725] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 11/18/2022] [Accepted: 12/02/2022] [Indexed: 06/17/2023]
Abstract
Numerous epidemiological studies have reported that ozone (O3) and temperature are independently associated with health outcomes, but modification of the effects of O3 on health outcomes by temperature, and vice versa, has not been fully described. This study aimed to investigate effect modification by temperature on the association between O3 and emergency ambulance dispatches (EADs) in Japan. Data on daily air pollutants, ambient temperature, and EADs were obtained from eight Japanese cities from 2007 to 2015. A distributed lag non-linear model combined with Poisson regression was performed with temperature as a confounding factor and effect modifier to estimate the effects of O3 on EADs at low (<25th percentile), moderate (25th-75th percentile), and high (>75th percentile) temperature for each city. The estimates obtained from each city were pooled by random-effects meta-analysis. When temperature was entered as a confounder, the estimated effects of O3 on EADs for all acute, cardiovascular, and respiratory illnesses were largest at lag 0 (current-day lag). Therefore, this lag was used to further estimate the effects of O3 on EADs in each temperature category. The estimated effects of O3 on EADs for all acute, cardiovascular, and respiratory illnesses in all eight Japanese cities increased with increasing temperature. Specifically, a 10 ppb increase in O3 was associated with 0.80 % (95 % CI: 0.25 to 1.35), 0.19 % (95 % CI: -0.85 to 1.25), and 1.14 % (95 % CI: -0.01 to 2.31) increases in the risk of EADs for all acute, cardiovascular, and respiratory illnesses, respectively, when city-specific daily temperature exceeded the 75th percentile. Our findings suggest that the association between O3 and EADs for all acute, cardiovascular, and respiratory illnesses is the highest during high temperature. Finding of this study can be used to develop potential mitigation measures against O3 exposure in high temperature environment to reduce its associated adverse health effects.
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Affiliation(s)
- Arthit Phosri
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand; Center of Excellence on Environmental Health and Toxicology (EHT), OPS, Ministry of Higher Education, Science, Research and Innovation, Bangkok, Thailand.
| | - Kayo Ueda
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Department of Hygiene, Social Medicine, Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan; Graduate School of Global Environmental Sciences, Kyoto University, Kyoto, Japan
| | - Xerxes Seposo
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Department of Hygiene, Social Medicine, Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Akiko Honda
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Graduate School of Global Environmental Sciences, Kyoto University, Kyoto, Japan
| | - Hirohisa Takano
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Graduate School of Global Environmental Sciences, Kyoto University, Kyoto, Japan
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14
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Rehman A, Kumari R, Kamthan A, Tiwari R, Srivastava RK, van der Westhuizen FH, Mishra PK. Cell-free circulating mitochondrial DNA: An emerging biomarker for airborne particulate matter associated with cardiovascular diseases. Free Radic Biol Med 2023; 195:103-120. [PMID: 36584454 DOI: 10.1016/j.freeradbiomed.2022.12.083] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 12/16/2022] [Accepted: 12/20/2022] [Indexed: 12/29/2022]
Abstract
The association of airborne particulate matter exposure with the deteriorating function of the cardiovascular system is fundamentally driven by the impairment of mitochondrial-nuclear crosstalk orchestrated by aberrant redox signaling. The loss of delicate balance in retrograde communication from mitochondria to the nucleus often culminates in the methylation of the newly synthesized strand of mitochondrial DNA (mtDNA) through DNA methyl transferases. In highly metabolic active tissues such as the heart, mtDNA's methylation state alteration impacts mitochondrial bioenergetics. It affects transcriptional regulatory processes involved in biogenesis, fission, and fusion, often accompanied by the integrated stress response. Previous studies have demonstrated a paradoxical role of mtDNA methylation in cardiovascular pathologies linked to air pollution. A pronounced alteration in mtDNA methylation contributes to systemic inflammation, an etiological determinant for several co-morbidities, including vascular endothelial dysfunction and myocardial injury. In the current article, we evaluate the state of evidence and examine the considerable promise of using cell-free circulating methylated mtDNA as a predictive biomarker to reduce the more significant burden of ambient air pollution on cardiovascular diseases.
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Affiliation(s)
- Afreen Rehman
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India.
| | - Roshani Kumari
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India.
| | - Arunika Kamthan
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India.
| | - Rajnarayan Tiwari
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India.
| | | | | | - Pradyumna Kumar Mishra
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India.
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15
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Tang EJ, Zhou YM, Yang LL, Wang N, Jiang YX, Xiao H, Hu YG, Li DW, Li N, Huang QS, Du N, Li YF, Ji AL, Zhou LX, Cai TJ. The association between short-term ambient sulfur dioxide exposure and hospitalization costs of ischemic stroke: a hospital-based study in Chongqing, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:17459-17471. [PMID: 36194329 DOI: 10.1007/s11356-022-23254-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 09/21/2022] [Indexed: 06/16/2023]
Abstract
Evidence of the short-term effects of ambient sulfur dioxide (SO2) exposure on the economic burden of ischemic stroke is limited. This study aimed to explore the association between short-term ambient SO2 exposure and hospitalization costs for ischemic stroke in Chongqing, the most populous city in China. The hospital-based study included 7271 ischemic stroke inpatients. Multiple linear regression models were used to estimate the association between SO2 concentration and hospitalization costs. Propensity score matching was used to compare the patients' characteristics when exposed to SO2 concentrations above and below 20 μg/m3. It is found that short-term SO2 exposure was positively correlated with the hospitalization costs of ischemic stroke. The association was more evident in males, people younger than 65, and people hospitalized in the cool seasons. Besides, among the components of hospitalization costs, medicine costs were most significantly associated with SO2. More interesting, the lower concentration of SO2, the higher costs associated with 1 μg/m3 SO2 change. Above all, SO2 was positively associated with hospitalization costs of ischemic stroke, even at its low levels. The measures to reduce the level of SO2 can help reduce the burden of ischemic stroke.
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Affiliation(s)
- En-Jie Tang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Yu-Meng Zhou
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Li-Li Yang
- Department of Information, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, 400037, China
| | - Nan Wang
- Medical Department, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, 400037, China
| | - Yue-Xu Jiang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
- Department of Nutrition and Food Hygiene, School of Public Health Guizhou Medical University, Guiyang, 550025, China
| | - Hua Xiao
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Yue-Gu Hu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Da-Wei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Na Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
- Department of Nutrition and Food Hygiene, School of Public Health Guizhou Medical University, Guiyang, 550025, China
| | - Qing-Song Huang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
- Department of Nutrition and Food Hygiene, School of Public Health Guizhou Medical University, Guiyang, 550025, China
| | - Ning Du
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Ya-Fei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Ai-Ling Ji
- Department of Preventive Medicine, Chongqing Medical and Pharmaceutical College, Chongqing, 401331, China
| | - Lai-Xin Zhou
- Medical Department, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Tong-Jian Cai
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China.
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16
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Han A, Deng S, Yu J, Zhang Y, Jalaludin B, Huang C. Asthma triggered by extreme temperatures: From epidemiological evidence to biological plausibility. ENVIRONMENTAL RESEARCH 2023; 216:114489. [PMID: 36208788 DOI: 10.1016/j.envres.2022.114489] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/25/2022] [Accepted: 10/01/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND There is rapidly growing evidence indicating that extreme temperature is a crucial trigger and potential activator of asthma; however, the effects of extreme temperature on asthma are inconsistently reported and the its potential mechanisms remain undefined. OBJECTIVES This review aims to estimate the impacts of extreme heat, extreme cold, and temperature variations on asthma by systematically summarizing the existing studies from epidemiological evidence to biological plausibility. METHODS We conducted a systematic search in PubMed, Embase, and Web of Science from inception to June 30, 2022, and we retrieved articles of epidemiology and biological studies which assessed associations between extreme temperatures and asthma. This protocol was registered with PROSPERO (CRD42021273613). RESULTS From 12,435 identified records, 111 eligible studies were included in the qualitative synthesis, and 37 articles were included in the meta-analysis (20 for extreme heat, 16 for extreme cold, and 15 for temperature variations). For epidemiological evidence, we found that the synergistic effects of extreme temperatures, indoor/outdoor environments, and individual vulnerabilities are important triggers for asthma attacks, especially when there is extreme heat or cold. Meta-analysis further confirmed the associations, and the pooled relative risks for asthma attacks in extreme heat and extreme cold were 1.07 (95%CI: 1.03-1.12) and 1.20 (95%CI: 1.12-1.29), respectively. Additionally, this review discussed the potential inflammatory mechanisms behind the associations between extreme temperatures and asthma exacerbation, and highlighted the regulatory role of immunological pathways and transient receptor potential ion channels in asthma triggered by extreme temperatures. CONCLUSIONS We concluded that both extreme heat and cold could significantly increase the risk of asthma. Additionally, we proposed a potential mechanistic framework, which is important for understanding the disease pathogenesis that uncovers the complex mechanisms of asthma triggered by extreme temperatures and protects the sensitive individuals from impacts of extreme weather events and climate change.
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Affiliation(s)
- Azhu Han
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Shizhou Deng
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Jiarui Yu
- Shenzhen Health Development Research and Data Management Center, Shenzhen 518028, China, School of Arts and Sciences, Columbia University, New York City, NY, USA
| | - Yali Zhang
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Bin Jalaludin
- School of Population Health, University of New South Wales, Sydney, Australia
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, 100084, China.
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17
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Castellani B, Bartington S, Wistow J, Heckels N, Ellison A, Van Tongeren M, Arnold SR, Barbrook-Johnson P, Bicket M, Pope FD, Russ TC, Clarke CL, Pirani M, Schwannauer M, Vieno M, Turnbull R, Gilbert N, Reis S. Mitigating the impact of air pollution on dementia and brain health: Setting the policy agenda. ENVIRONMENTAL RESEARCH 2022; 215:114362. [PMID: 36130664 DOI: 10.1016/j.envres.2022.114362] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/13/2022] [Accepted: 09/14/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Emerging research suggests exposure to high levels of air pollution at critical points in the life-course is detrimental to brain health, including cognitive decline and dementia. Social determinants play a significant role, including socio-economic deprivation, environmental factors and heightened health and social inequalities. Policies have been proposed more generally, but their benefits for brain health have yet to be fully explored. OBJECTIVE AND METHODS Over the course of two years, we worked as a consortium of 20+ academics in a participatory and consensus method to develop the first policy agenda for mitigating air pollution's impact on brain health and dementia, including an umbrella review and engaging 11 stakeholder organisations. RESULTS We identified three policy domains and 14 priority areas. Research and Funding included: (1) embracing a complexities of place approach that (2) highlights vulnerable populations; (3) details the impact of ambient PM2.5 on brain health, including current and historical high-resolution exposure models; (4) emphasises the importance of indoor air pollution; (5) catalogues the multiple pathways to disease for brain health and dementia, including those most at risk; (6) embraces a life course perspective; and (7) radically rethinks funding. Education and Awareness included: (8) making this unrecognised public health issue known; (9) developing educational products; (10) attaching air pollution and brain health to existing strategies and campaigns; and (11) providing publicly available monitoring, assessment and screening tools. Policy Evaluation included: (12) conducting complex systems evaluation; (13) engaging in co-production; and (14) evaluating air quality policies for their brain health benefits. CONCLUSION Given the pressing issues of brain health, dementia and air pollution, setting a policy agenda is crucial. Policy needs to be matched by scientific evidence and appropriate guidelines, including bespoke strategies to optimise impact and mitigate unintended consequences. The agenda provided here is the first step toward such a plan.
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Affiliation(s)
- Brian Castellani
- Durham Research Methods Centre, Durham University, Stockton Road, Durham, DH1 3LE, United Kingdom; Centre for the Evaluation of Complexity Across the Nexus, University of Surrey, Guildford, GU2 7XH, United Kingdom; Wolfson Research Institute for Health and Wellbeing, Durham University, Stockton Road, DH1 3LE, United Kingdom; Department of Sociology, Durham University, Stockton Road, Durham, DH1 3LE, United Kingdom.
| | - Suzanne Bartington
- Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, United Kingdom
| | - Jonathan Wistow
- Wolfson Research Institute for Health and Wellbeing, Durham University, Stockton Road, DH1 3LE, United Kingdom; Department of Sociology, Durham University, Stockton Road, Durham, DH1 3LE, United Kingdom
| | - Neil Heckels
- Research and Innovation Services, Durham University, Stockton Road, Durham, DH1 3LE, United Kingdom
| | - Amanda Ellison
- Wolfson Research Institute for Health and Wellbeing, Durham University, Stockton Road, DH1 3LE, United Kingdom; Department of Psychology, Durham University, Stockton Road, Durham, DH1 3LE, United Kingdom
| | - Martie Van Tongeren
- Centre for Occupational and Environmental Health, School of Health Sciences, University of Manchester, Manchester, M13 9PL, United Kingdom
| | - Steve R Arnold
- School of Earth & Environment, University of Leeds, Leeds, LS2 9JT, United Kingdom
| | - Pete Barbrook-Johnson
- Centre for the Evaluation of Complexity Across the Nexus, University of Surrey, Guildford, GU2 7XH, United Kingdom; Environmental Change Institute, School of Geography and the Environment, University of Oxford, United Kingdom
| | - Martha Bicket
- Centre for the Evaluation of Complexity Across the Nexus, University of Surrey, Guildford, GU2 7XH, United Kingdom
| | - Francis D Pope
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, B15 2TT, United Kingdom
| | - Tom C Russ
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, United Kingdom; Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom
| | - Charlotte L Clarke
- Department of Sociology, Durham University, Stockton Road, Durham, DH1 3LE, United Kingdom; School of Health in Social Science, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, United Kingdom
| | - Monica Pirani
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, W2 1PG, London, United Kingdom
| | - Matthias Schwannauer
- School of Health in Social Science, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, United Kingdom
| | - Massimo Vieno
- UK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Midlothian, EH26 0QB, United Kingdom
| | - Rachel Turnbull
- Academic Health Sciences Network, North East and North Cumbria, Nuns' Moor Road, Newcastle Upon Tyne NE4 5PL, United Kingdom
| | - Nigel Gilbert
- Centre for the Evaluation of Complexity Across the Nexus, University of Surrey, Guildford, GU2 7XH, United Kingdom
| | - Stefan Reis
- UK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Midlothian, EH26 0QB, United Kingdom; University of Exeter Medical School, European Centre for Environment and Health, Knowledge Spa, Truro, TR1 3HD, United Kingdom; The University of Edinburgh, School of Chemistry, Level 3, Murchison House, 10 Max Born Crescent, The King's Buildings, West Mains Road, Edinburgh, EH9 3BF, United Kingdom
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18
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Lee W, Lim YH, Ha E, Kim Y, Lee WK. Forecasting of non-accidental, cardiovascular, and respiratory mortality with environmental exposures adopting machine learning approaches. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:88318-88329. [PMID: 35834079 PMCID: PMC9281380 DOI: 10.1007/s11356-022-21768-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 06/27/2022] [Indexed: 04/16/2023]
Abstract
Environmental exposure constantly changes with time and various interactions that can affect health outcomes. Machine learning (ML) or deep learning (DL) algorithms have been used to solve complex problems, such as multiple exposures and their interactions. This study developed predictive models for cause-specific mortality using ML and DL algorithms with the daily or hourly measured meteorological and air pollution data. The ML algorithm improved the performance compared to the conventional methods, even though the optimal algorithm depended on the adverse health outcomes. The best algorithms were extreme gradient boosting, ridge, and elastic net, respectively, for non-accidental, cardiovascular, and respiratory mortality with daily measurement; they were superior to the generalized additive model reducing a mean absolute error by 4.7%, 4.9%, and 16.8%, respectively. With hourly measurements, the ML model tended to outperform the conventional models, even though hourly data, instead of daily data, did not enhance the performance in some models. The proposed model allows a better understanding and development of robust predictive models for health outcomes using multiple environmental exposures.
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Affiliation(s)
- Woojoo Lee
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Youn-Hee Lim
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Eunhee Ha
- Department of Occupational and Environmental Medicine, Ewha Medical Research Center, College of Medicine, Ewha Woman's University, Seoul, Republic of Korea
| | - Yoenjin Kim
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Won Kyung Lee
- Department of Prevention and Management, Inha University Hospital, School of Medicine, Inha University, Incheon, Republic of Korea.
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19
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Zhou CB, Hu YG, Fan YN, Wu N, Yao CY, Liu XL, Zhou YM, Xiao H, Tang EJ, Li DW, Cai TJ, Ji AL. More obvious association between short-term ambient nitrogen dioxide and atrial fibrillation outpatient visits in cool seasons: A hospital-based study in northwestern China. ENVIRONMENTAL RESEARCH 2022; 212:113220. [PMID: 35398083 DOI: 10.1016/j.envres.2022.113220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 03/12/2022] [Accepted: 03/28/2022] [Indexed: 06/14/2023]
Abstract
Atrial fibrillation (AF) is the most common sustained heart rhythm disorder associated with high mortality and morbidity. Limited studies have been conducted to assess the relationship between short-term exposure to ambient air pollution and AF attacks. This study aimed to explore the association between short-term ambient nitrogen dioxide (NO2) exposure and outpatient visits for AF in Xi'an, China. Data on daily AF outpatient visits and air pollutants from 2013 to 2019 (2555 days) were obtained. A time-series approach using over-dispersed Poisson generalized additive model (GAM) was employed, and stratified analyses were performed to investigate the potential modifying effects by season, age, and gender. A total of 8307 outpatient visits for AF were recorded. Increased levels of NO2 were associated with increased AF outpatient visits, and the most significant effect estimates were observed at lag 03: A 10 μg/m3 increase of NO2 at lag 03 was related to an elevation of 5.59% (95% CI: 2.67%, 8.51%) in daily outpatient visits for AF. Stratified analyses showed that there were no gender and age difference in the effect of NO2, while more obvious association was observed in cool seasons (October to March) than in warm seasons (April to September). In summary, short-term ambient NO2 exposure can be positively associated with daily outpatient visits for AF, especially in cool seasons. This work provided novel data that the association between air pollutants and AF can vary by seasons, further supporting that the prevention of cardiovascular health effects should be strengthened in winter.
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Affiliation(s)
- Chun-Bei Zhou
- Chongqing Center for Disease Control and Prevention, Chongqing, 400042, China; Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Yue-Gu Hu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Yan-Ni Fan
- Medical Record Room of Information Department, Second Affiliated Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, 710038, China
| | - Na Wu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Chun-Yan Yao
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Xiao-Ling Liu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Yu-Meng Zhou
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Hua Xiao
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - En-Jie Tang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Da-Wei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Tong-Jian Cai
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China.
| | - Ai-Ling Ji
- Department of Preventive Medicine, Chongqing Medical and Pharmaceutical College, Chongqing, 401331, China.
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20
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Álvaro-Meca A, Goez MDC, Resino R, Matías V, Sepúlveda-Crespo D, Martínez I, Resino S. Environmental factors linked to hospital admissions in young children due to acute viral lower respiratory infections: A bidirectional case-crossover study. ENVIRONMENTAL RESEARCH 2022; 212:113319. [PMID: 35447151 DOI: 10.1016/j.envres.2022.113319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 03/14/2022] [Accepted: 04/12/2022] [Indexed: 06/14/2023]
Abstract
OBJECTIVE This study evaluated the association of the short-term exposure to environmental factors (relative humidity, temperature, NO2, SO2, O3, PM10, and CO) with hospital admissions due to acute viral lower respiratory infections (ALRI) in children under two years before the COVID-19 era. METHODS We performed a bidirectional case-crossover study in 30,445 children with ALRI under two years of age in the Spanish Minimum Basic Data Set (MBDS) from 2013 to 2015. Environmental data were obtained from Spain's State Meteorological Agency (AEMET). The association was assessed by conditional logistic regression. RESULTS Lower temperature one week before the day of the event (hospital admission) (q-value = 0.012) and higher relative humidity one week (q-value = 0.003) and two weeks (q-value<0.001) before the day of the event were related to a higher odds of hospital admissions. Higher NO2 levels two weeks before the event were associated with hospital admissions (q-value<0.001). Moreover, higher concentrations on the day of the event for SO2 (compared to lag time of 1-week (q-value = 0.026) and 2-weeks (q-value<0.001)), O3 (compared to lag time of 3-days (q-value<0.001), 1-week (q-value<0.001), and 2-weeks (q-value<0.001)), and PM10 (compared to lag time of 2-weeks (q-value<0.001)) were related to an increased odds of hospital admissions for viral ALRI. CONCLUSION Short-term exposure to environmental factors (climatic conditions and ambient air contaminants) was linked to a higher likelihood of hospital admissions due to ALRI. Our findings emphasize the importance of monitoring environmental factors to assess the odds of ALRI hospital admissions and plan public health resources.
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Affiliation(s)
- Alejandro Álvaro-Meca
- Departamento de Medicina Preventiva y Salud Pública, Facultad de Ciencias de La Salud, Universidad Rey Juan Carlos, Alcorcón, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
| | | | - Rosa Resino
- Departamento de Geografía Humana, Facultad de Geografía e Historia, Universidad Complutense de Madrid. Madrid, Spain
| | - Vanesa Matías
- Servicio de Pedíatría, Hospital Clínico Universitario, Valladolid, Spain
| | - Daniel Sepúlveda-Crespo
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain; Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid. Spain
| | - Isidoro Martínez
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain; Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid. Spain
| | - Salvador Resino
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain; Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid. Spain.
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21
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Tian Y, Xiang M, Peng J, Duan Y, Wen Y, Huang S, Li L, Yu S, Cheng J, Zhang X, Wang P. Modification effects of seasonal and temperature variation on the association between exposure to nitrogen dioxide and ischemic stroke onset in Shenzhen, China. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2022; 66:1747-1758. [PMID: 35750990 DOI: 10.1007/s00484-022-02315-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 05/16/2022] [Accepted: 06/14/2022] [Indexed: 06/15/2023]
Abstract
The independent associations of extreme temperature and ambient air pollutant with the admission to hospital and mortality of ischemic stroke have been widely investigated. However, knowledge about the modification effects of variation in season and temperature on the association between exposure to nitrogen dioxide (NO2) and ischemic stroke onset is still limited. This study purposed to explore the effect of NO2 on daily ischemic stroke onset modified by season and ambient temperature, and identify the potential population that susceptible to ischemic stroke onset connected with NO2 and ambient temperature. Data on daily ischemic stroke counts, weather conditions, and ambient air pollutant concentrations in Shenzhen were collected between January 1, 2008, and December 31, 2014. The seasonal effect on the NO2-associated onset was measured by a distributed-lag linear model. Furthermore, a generalized additive model that incorporated with stratification analyses was used to calculate the interactive effects between NO2 and ambient temperature. During the winter, the average percentage increase in daily ischemic stroke onset for each 10 μg/m3 increment in NO2 concentration on lagged 2 days was 3.05% (95% CI: 1.31-4.82%), while there was no statistically significant effect of NO2 during summer. And the low-temperature days ([Formula: see text] mean temperature), with a 2.23% increase in incidence (95% CI: 1.18-3.29%) for the same concentration increase in NO2, were significant higher than high temperature days ([Formula: see text] mean temperature). The modification effects of temperature on the study association were more pronounced in individuals aged 65 years or more and in males. The adverse health effects of NO2 on ischemic stroke are more pronounced during winter or low temperature periods. Elderly adults or males presented higher risks with these exposures.
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Affiliation(s)
- Yuchen Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ming Xiang
- Department of Hospital Infection Control, Wuhan No. 1 Hospital (Wuhan Hospital of Integrated Traditional Chinese and Western Medicine), Wuhan, Hubei, China
| | - Ji Peng
- Shenzhen Center for Chronic Disease Control, 2021 Buxin Road, Shenzhen, 518020, Guangdong, China
| | - Yanran Duan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ying Wen
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Suli Huang
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Lei Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Shuyuan Yu
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Jinquan Cheng
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China.
| | - Xia Zhang
- The First People's Hospital of Jingzhou, 40 Daqing Rd, Jingzhou, 434000, Hubei, China.
| | - Peng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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22
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Michetti M, Gualtieri M, Anav A, Adani M, Benassi B, Dalmastri C, D'Elia I, Piersanti A, Sannino G, Zanini G, Uccelli R. Climate change and air pollution: Translating their interplay into present and future mortality risk for Rome and Milan municipalities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 830:154680. [PMID: 35314224 DOI: 10.1016/j.scitotenv.2022.154680] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 03/11/2022] [Accepted: 03/15/2022] [Indexed: 06/14/2023]
Abstract
Heat and cold temperatures associated with exposure to poor air quality lead to increased mortality. Using a generalized linear model with Poisson regression for overdispersion, this study quantifies the natural-caused mortality burden attributable to heat/cold temperatures and PM10 and O3 air pollutants in Rome and Milan, the two most populated Italian cities. We calculate local-specific mortality relative risks (RRs) for the period 2004-2015 considering the overall population and the most vulnerable age category (≥85 years). Combining a regional climate model with a chemistry-transport model under future climate and air pollution scenarios (RCP2.6 and RCP8.5), we then project mortality to 2050. Results show that for historical mortality the burden is much larger for cold than for warm temperatures. RR peaks during wintertime in Milan and summertime in Rome, highlighting the relevance of accounting for the effects of air pollution besides that of climate, in particular PM10 for Milan and O3 for Rome. Overall, Milan reports higher RRs while, in both cities, the elderly appear more susceptible to heat/cold and air pollution events than the average population. Two counterbalancing effects shape mortality in the future: an increase associated with higher and more frequent warmer daily temperatures - especially in the case of climate inaction - and a decrease due to declining cold-mortality burden. The outcomes highlight the urgent need to adopt more stringent and integrated climate and air quality policies to reduce the temperature and air pollution combined effects on health.
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Affiliation(s)
- M Michetti
- Division of Models and Technology for Risk Reduction, ENEA Centro Ricerche Bologna, Via Martiri di Monte Sole 4, 40129 Bologna, Italy.
| | - M Gualtieri
- Division of Models and Technology for Risk Reduction, ENEA Centro Ricerche Bologna, Via Martiri di Monte Sole 4, 40129 Bologna, Italy
| | - A Anav
- Division of Models and Technology for Risk Reduction, ENEA Centro Ricerche Roma Casaccia, Via Anguillarese 301, 00123 Santa Maria di Galeria, Rome, Italy
| | - M Adani
- Division of Models and Technology for Risk Reduction, ENEA Centro Ricerche Bologna, Via Martiri di Monte Sole 4, 40129 Bologna, Italy
| | - B Benassi
- Division of Health Protection Technologies, ENEA Centro Ricerche Roma Casaccia, Via Anguillarese 301, 00123 Santa Maria di Galeria, Rome, Italy
| | - C Dalmastri
- Division of Health Protection Technologies, ENEA Centro Ricerche Roma Casaccia, Via Anguillarese 301, 00123 Santa Maria di Galeria, Rome, Italy
| | - I D'Elia
- Division of Models and Technology for Risk Reduction, ENEA Centro Ricerche Roma, Lungotevere Thaon de Revel, 76, 00196 Rome, Italy
| | - A Piersanti
- Division of Models and Technology for Risk Reduction, ENEA Centro Ricerche Bologna, Via Martiri di Monte Sole 4, 40129 Bologna, Italy
| | - G Sannino
- Division of Models and Technology for Risk Reduction, ENEA Centro Ricerche Roma Casaccia, Via Anguillarese 301, 00123 Santa Maria di Galeria, Rome, Italy
| | - G Zanini
- Division of Models and Technology for Risk Reduction, ENEA Centro Ricerche Bologna, Via Martiri di Monte Sole 4, 40129 Bologna, Italy
| | - R Uccelli
- Division of Health Protection Technologies, ENEA Centro Ricerche Roma Casaccia, Via Anguillarese 301, 00123 Santa Maria di Galeria, Rome, Italy
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Steenland K, Vu B, Scovronick N. Effect modification by maximum temperature of the association between PM 2.5 and short-term cardiorespiratory mortality and emergency room visits in Lima, Peru, 2010-2016. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2022; 32:590-595. [PMID: 34657126 PMCID: PMC9012782 DOI: 10.1038/s41370-021-00393-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 09/28/2021] [Accepted: 09/29/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND The health effects of fine particulate matter (PM2.5) may be worse at higher temperatures. OBJECTIVE To investigate temperature's effect on PM2.5-mortality/morbidity associations in Lima, Peru. METHODS Time-series regressions relating PM2.5 and temperature to mortality and emergency room (ER) visits during 2010-2016. Daily PM2.5 levels (assigned to 40 Lima districts) and daily maximum temperature (Lima-wide) were estimated based on ground monitors, remote sensing, and modeling. We analyzed all-cause, cardiovascular (ICD codes I00-I99), and respiratory (ICD codes J00-J99) mortality, and cardiovascular and respiratory causes for ER visits. RESULTS The average PM2.5 concentration was 20.9 µg/m3 (IQR 17.5-23.5). The mean daily maximum temperature was 23.8 °C (IQR 20.8-26.9). PM2.5's effect on all-cause, respiratory, and circulatory disease mortality was significantly (p < 0.05) stronger at temperatures above the maximum temperature median. The rate ratios per increase of 10 µg/m3 of PM2.5 for all cause, respiratory, and circulatory mortality respectively were 1.03 (1.00-1.06), 1.04 (0.98-1.10), and 1.04 (0.98-1.10) at temperatures below the median, vs. 1.08 (1.04-1.12), 1.11 (1.03-1.19), and 1.14 (1.05-1.25) when temperatures were above the median. Results were analogous for ER visits for respiratory but not circulatory disease. SIGNIFICANCE Results strengthen the evidence that air pollution may be more dangerous when temperatures are higher. IMPACT Our data contribute to a growing body of literature which indicates that the damaging effects of PM2.5 may be worse at higher temperature, adding new evidence from Lima, Peru.
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Affiliation(s)
| | - Bryan Vu
- Corresponding author: Kyle Steenland,
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24
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Wang W, Zhang W, Ge H, Chen B, Zhao J, Wu J, Kang Z, Guo X, Deng F, Ma Q. Association between air pollution and emergency room visits for eye diseases and effect modification by temperature in Beijing, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:22613-22622. [PMID: 34792769 DOI: 10.1007/s11356-021-17304-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 10/27/2021] [Indexed: 06/13/2023]
Abstract
The growing burden of eye disease worldwide has aroused increasing concern upon its environmental etiology. This study aims to evaluate the associations of air pollutants with emergency room visits for eye diseases and the effect modification by temperature. Based on 24,389 cases from a general hospital during 2014-2019 in Beijing, China, this study used generalized additive models to examine the associations of air pollutants and emergency room visits for total eye diseases (ICD10: H00-H59) and conjunctivitis (ICD10: H10). Short-term exposures to PM2.5, PM10, CO, and NO2 were associated with increased visits for total eye diseases and conjunctivitis, and stronger effect estimates were observed in high (>75th) temperature group for PM2.5, PM10, CO, and NO2 and low (<75th) temperature group for CO and NO2. For instance, a 10 μg/m3 increase in PM2.5 at lag0-1 were associated with a 0.73% (95% CI: 0.23%, 1.24%) increase in total eye disease visits and a 1.34% (95% CI: 0.55%, 2.13%) increase in conjunctivitis visits, respectively. Meanwhile, a 10 μg/m3 increase in PM2.5 was associated with a 1.57% (95% CI: 0.49%, 2.64%) change in high temperature group and a 0.48% (95% CI: -0.24%, 1.19%) change in medium temperature group (P for interaction = 0.04) in total eye disease visits. Our study emphasizes the importance of controlling the potential hazards of air pollutants on eyes, especially on days with relatively higher or colder temperature.
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Affiliation(s)
- Wanzhou Wang
- Emergency Department, Peking University Third Hospital, Beijing, 100191, China
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Wenlou Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Hongxia Ge
- Emergency Department, Peking University Third Hospital, Beijing, 100191, China
| | - Baiqi Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Jingjing Zhao
- Emergency Department, Peking University Third Hospital, Beijing, 100191, China
| | - Jun Wu
- Emergency Department, Peking University Third Hospital, Beijing, 100191, China
| | - Zefeng Kang
- Eye Hospital of China Academy of Chinese Medical Sciences, Beijing, 100040, China.
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China.
| | - Qingbian Ma
- Emergency Department, Peking University Third Hospital, Beijing, 100191, China.
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Liu WY, Lu JH, He JR, Zhang LF, Wei DM, Wang CR, Xiao X, Xia HM, Qiu X. Combined effects of air pollutants on gestational diabetes mellitus: A prospective cohort study. ENVIRONMENTAL RESEARCH 2022; 204:112393. [PMID: 34798119 DOI: 10.1016/j.envres.2021.112393] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 10/19/2021] [Accepted: 11/13/2021] [Indexed: 06/13/2023]
Abstract
Exposures to multiple air pollutants during pregnancy have been associated with the risk of gestational diabetes mellitus (GDM). However, their combined effects are unclear. We aimed to evaluate the combined associations of five air pollutants from pre-pregnancy to the 2nd trimester with GDM. This study included 20,113 participants from the Born in Guangzhou Cohort Study (BIGCS). The inverse distance-weighted models were used to estimate individual air pollutant exposure, namely ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), particulate matter less than 10 μm in diameter (PM10), and less than 2.5 μm in diameter (PM2.5). We estimated stage-specific associations of air pollutants with GDM using generalized estimating equation, and departures from additive joint effects were assessed using the relative excess risk (RERI) and the joint relative risk (JRR). Of the 20,113 participants, 3440 women (17.1%) were diagnosed with GDM. In the adjusted model, increased concentrations of O3 and SO2 3-6 months before pregnancy were associated with GDM occurrence, as well as O3 and PM10 in the 1st trimester, the adjusted relative risk (95% confident intervals) [RRs (95%CI)] ranged from 1.05 (1.00, 1.09) to 1.21 (1.04, 1.40). The largest JRR for GDM was the combination of SO2, NO2, and PM10 in the 1st trimester (JRR = 1.32, 95% CI: 1.10, 1.59). The JRR for O3 and SO2 was less than their additive joint effects [RERI = -0.25 (-0.47, -0.04), P for interaction = 0.048]. Associations of air pollutants with GDM differed somewhat by pre-pregnancy BMI and season. This study added new evidence to the current understanding of the combined effects of multiple air pollutants on GDM. Public health strategies were needed to reduce the adverse effects of air pollution exposure on pregnant women.
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Affiliation(s)
- Wen-Yu Liu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jin-Hua Lu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China; Department of Women's Health, Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jian-Rong He
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China; Department of Women's Health, Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Li-Fang Zhang
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China; Department of Women's Health, Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Dong-Mei Wei
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China; Department of Women's Health, Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Cheng-Rui Wang
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Xiong Xiao
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Hui-Min Xia
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China; Provincial Clinical Research Center for Child Health, Guangdong, China
| | - Xiu Qiu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China; Department of Women's Health, Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China; Provincial Clinical Research Center for Child Health, Guangdong, China.
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Wine O, Osornio Vargas A, Campbell SM, Hosseini V, Koch CR, Shahbakhti M. Cold Climate Impact on Air-Pollution-Related Health Outcomes: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:1473. [PMID: 35162495 PMCID: PMC8835073 DOI: 10.3390/ijerph19031473] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/14/2022] [Accepted: 01/24/2022] [Indexed: 01/05/2023]
Abstract
In cold temperatures, vehicles idle more, have high cold-start emissions including greenhouse gases, and have less effective exhaust filtration systems, which can cause up to ten-fold more harmful vehicular emissions. Only a few vehicle technologies have been tested for emissions below -7 °C (20 °F). Four-hundred-million people living in cities with sub-zero temperatures may be impacted. We conducted a scoping review to identify the existing knowledge about air-pollution-related health outcomes in a cold climate, and pinpoint any research gaps. Of 1019 papers identified, 76 were selected for review. The papers described short-term health impacts associated with air pollutants. However, most papers removed the possible direct effect of temperature on pollution and health by adjusting for temperature. Only eight papers formally explored the modifying effect of temperatures. Five studies identified how extreme cold and warm temperatures aggravated mortality/morbidity associated with ozone, particles, and carbon-monoxide. The other three found no health associations with tested pollutants and temperature. Additionally, in most papers, emissions could not be attributed solely to traffic. In conclusion, evidence on the relationship between cold temperatures, traffic-related pollution, and related health outcomes is lacking. Therefore, targeted research is required to guide vehicle regulations, assess extreme weather-related risks in the context of climate change, and inform public health interventions.
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Affiliation(s)
- Osnat Wine
- Department of Mechanical Engineering, Faculty of Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada; (O.W.); (C.R.K.)
| | - Alvaro Osornio Vargas
- Department of Paediatrics, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB T6G 1C9, Canada;
| | - Sandra M. Campbell
- Health Sciences Library, University of Alberta, Edmonton, AB T6G 2R7, Canada;
| | - Vahid Hosseini
- School of Sustainable Energy Engineering, Simon Fraser University, Surrey, BC V3T 0N1, Canada;
| | - Charles Robert Koch
- Department of Mechanical Engineering, Faculty of Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada; (O.W.); (C.R.K.)
| | - Mahdi Shahbakhti
- Department of Mechanical Engineering, Faculty of Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada; (O.W.); (C.R.K.)
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Jiang J, Wu D, Chen Y, Han Y, Jin W. Relationship between different air pollutants and total and cause-specific emergency ambulance dispatches in Shanghai, China. Int Arch Occup Environ Health 2021; 94:1709-1719. [PMID: 34319408 DOI: 10.1007/s00420-021-01743-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 03/08/2021] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Air pollutants play a crucial role in human health and disease. Emergency ambulance dispatch data have excellent potential for public and environmental health research. This study aimed at investigating the impact of short-term exposure to air pollutants on the emergency ambulance dispatches. METHODS We used data on emergency ambulance dispatches in Shanghai Municipality, China, from April 1, 2016 to December 31, 2017. The association of the daily emergency ambulance dispatches with air pollutants including PM2.5 (particles ≤ 2.5 μm in aerodynamic diameter), PM10, O3, NO2 and SO2 was analyzed with the use of time-series analyses. RESULTS A total of 310,825 emergency ambulance dispatches for acute illness occurred in Shanghai during the study period. An increase in PM2.5 by 10 μg/m3 at lag1 and lag2 was shown to increase the risk of emergency ambulance dispatches (RR for lag1 = 1.05, 95% CI 1.00-1.11, RR for lag2 = 1.07, 95% CI 1.01-1.12). PM10, NO2, and SO2 also showed significant associations with emergency ambulance dispatches in single-pollutant models. Cause-specific analyses showed an elevation in PM2.5 by 10 μg/m3 was associated with an increased risk of emergency ambulance dispatches related to respiratory diseases on the current day (lag0, RR 1.17, 95% CI 1.01-1.33), while the impact on emergency ambulance dispatches related to other diseases presented 1-3 days later. The other pollutants have the similar trend. CONCLUSIONS Our findings show a strong relationship between ambient air pollutants and emergency ambulance dispatches. Our study contributes to the growing body of evidence describing the adverse health effects of ambient air pollution and will benefit ambulance services for early warning and effective ambulatory planning.
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Affiliation(s)
- Jie Jiang
- Department of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Ruijin Er Road, Shanghai, China
| | - Degen Wu
- Shanghai Medical Emergency Center, No. 638, Yishan Road, Shanghai, China
| | - Yanjia Chen
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Ruijin Er Road, Shanghai, China
| | - Yanxin Han
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Ruijin Er Road, Shanghai, China
| | - Wei Jin
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Ruijin Er Road, Shanghai, China.
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Combined Effect of Hot Weather and Outdoor Air Pollution on Respiratory Health: Literature Review. ATMOSPHERE 2021. [DOI: 10.3390/atmos12060790] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Association between short-term exposure to ambient air pollution and respiratory health is well documented. At the same time, it is widely known that extreme weather events intrinsically exacerbate air pollution impact. Particularly, hot weather and extreme temperatures during heat waves (HW) significantly affect human health, increasing risks of respiratory mortality and morbidity. Concurrently, a synergistic effect of air pollution and high temperatures can be combined with weather–air pollution interaction during wildfires. The purpose of the current review is to summarize literature on interplay of hot weather, air pollution, and respiratory health consequences worldwide, with the ultimate goal of identifying the most dangerous pollution agents and vulnerable population groups. A literature search was conducted using electronic databases Web of Science, Pubmed, Science Direct, and Scopus, focusing only on peer-reviewed journal articles published in English from 2000 to 2021. The main findings demonstrate that the increased level of PM10 and O3 results in significantly higher rates of respiratory and cardiopulmonary mortality. Increments in PM2.5 and PM10, O3, CO, and NO2 concentrations during high temperature episodes are dramatically associated with higher admissions to hospital in patients with chronic obstructive pulmonary disease, daily hospital emergency transports for asthma, acute and chronic bronchitis, and premature mortality caused by respiratory disease. Excessive respiratory health risk is more pronounced in elderly cohorts and small children. Both heat waves and outdoor air pollution are synergistically linked and are expected to be more serious in the future due to greater climate instability, being a crucial threat to global public health that requires the responsible involvement of researchers at all levels. Sustainable urban planning and smart city design could significantly reduce both urban heat islands effect and air pollution.
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Symonds P, Milner J, Mohajeri N, Aplin J, Hale J, J Lloyd S, Fremont H, Younkin S, Shrubsole C, Robertson L, Taylor J, Zimmermann N, Wilkinson P, Davies M. A tool for assessing the climate change mitigation and health impacts of environmental policies: the Cities Rapid Assessment Framework for Transformation (CRAFT). Wellcome Open Res 2021; 5:269. [PMID: 34307900 PMCID: PMC8280949 DOI: 10.12688/wellcomeopenres.16345.2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/12/2021] [Indexed: 12/21/2022] Open
Abstract
Background: A growing number of cities, including Greater London, have set ambitious targets, including detailed policies and implementation plans, to reach global goals on sustainability, health, and climate change. Here we present a tool for a rapid assessment of the magnitude of impact of specific policy initiatives to reach these targets. The decision-support tool simultaneously quantifies the environmental and health impacts of specified selected policies. Methods: The 'Cities Rapid Assessment Framework for Transformation (CRAFT)' tool was applied to Greater London. CRAFT quantifies the effects of ten environmental policies on changes in (1) greenhouse gas (GHG) emissions, (2) exposures to environmental hazards, (3) travel-related physical activity, and (4) mortality (the number of attributable deaths avoided in one typical year). Publicly available data and epidemiological evidence were used to make rapid quantitative estimates of these effects based on proportional reductions in GHG emissions and environmental exposures from current baseline levels and to compute the mortality impacts. Results: The CRAFT tool estimates that, of roughly 50,000 annual deaths in Greater London, the modelled hazards (PM 2.5 (from indoor and outdoor sources), outdoor NO 2, indoor radon, cold, overheating) and low travel-related physical activity are responsible for approximately 10,000 premature environment-related deaths. Implementing the selected polices could reduce the annual mortality number by about 20% (~1,900 deaths) by 2050. The majority of these deaths (1,700) may be avoided through increased uptake in active travel. Thus, out of ten environmental policies, the 'active travel' policy provides the greatest health benefit. Also, implementing the ten policies results in a GHG reduction of around 90%. Conclusions: The CRAFT tool quantifies the effects of city policies on reducing GHG emissions, decreasing environmental health hazards, and improving public health. The tool has potential value for policy makers through providing quantitative estimates of health impacts to support and prioritise policy options.
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Affiliation(s)
- Phil Symonds
- UCL Institute for Environmental Design and Engineering, London, WC1H 0NN, UK
| | - James Milner
- Centre on Climate Change and Planetary Health & Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London, UK
| | - Nahid Mohajeri
- UCL Institute for Environmental Design and Engineering, London, WC1H 0NN, UK
| | | | - Joanna Hale
- Centre for Behaviour Change, University College London, London, UK
| | - Simon J Lloyd
- Climate and Health Program (CLIMA), Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
| | - Henry Fremont
- Global Health Institute, University of Wisconsin, Madison, USA
| | - Sam Younkin
- Global Health Institute, University of Wisconsin, Madison, USA
| | - Clive Shrubsole
- UCL Institute for Environmental Design and Engineering, London, WC1H 0NN, UK
| | | | - Jonathon Taylor
- UCL Institute for Environmental Design and Engineering, London, WC1H 0NN, UK
- Department of Civil Engineering, Tampere University, Tampere, Finland
| | - Nici Zimmermann
- UCL Institute for Environmental Design and Engineering, London, WC1H 0NN, UK
| | - Paul Wilkinson
- Centre on Climate Change and Planetary Health & Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London, UK
| | - Mike Davies
- UCL Institute for Environmental Design and Engineering, London, WC1H 0NN, UK
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Popitanu C, Cioca G, Copolovici L, Iosif D, Munteanu FD, Copolovici D. The Seasonality Impact of the BTEX Pollution on the Atmosphere of Arad City, Romania. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18094858. [PMID: 34063249 PMCID: PMC8124805 DOI: 10.3390/ijerph18094858] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 04/27/2021] [Accepted: 04/29/2021] [Indexed: 11/21/2022]
Abstract
Benzene, toluene, and total BTEX (benzene, toluene, ethylbenzene, and xylene) concentrations registered for one year (2016) have been determined every month for one high-density traffic area. The assessment was performed in Arad City, Romania, to evaluate these pollutants and their influence on the inhabitants’ health. The contaminants were sampled using a static sampling method and analyzed by gas chromatography coupled with mass spectrometry. Benzene was the most dominant among the BTEX compounds—the average concentrations ranged from 18.00 ± 1.32 µg m−3 in December to 2.47 ± 0.74 µg m−3 in August. The average toluene concentration over the year was 4.36 ± 2.42 µg m−3 (with a maximum of 9.60 ± 2.39 µg m−3 in November and a minimum of 1.04 ± 0.29 µg m−3 in May). The toluene/benzene ratio (T/B) was around 0.5, indicating substantial contributions from mobile sources (vehicles). The emission and accumulation of different aromatic compounds (especially benzene) could deteriorate the urban air quality. The lifetime cancer risk (LTCR) for benzene was found to be more than 10−5 in winter, including the inhabitants in the “probable cancer risk” category.
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Affiliation(s)
- Corina Popitanu
- Biomedical Sciences Doctoral School, University of Oradea, 410087 Oradea, Romania;
| | - Gabriela Cioca
- Preclinical Department, Faculty of Medicine, Lucian Blaga University of Sibiu, 550024 Sibiu, Romania;
| | - Lucian Copolovici
- Development and Innovation in Technical and Natural Sciences, Faculty of Food Engineering, Tourism and Environmental Protection, Institute for Research, Aurel Vlaicu University of Arad, 310330 Arad, Romania; (D.I.); (F.-D.M.); (D.C.)
- Correspondence: ; Tel.: +40-74-525-9816
| | - Dennis Iosif
- Development and Innovation in Technical and Natural Sciences, Faculty of Food Engineering, Tourism and Environmental Protection, Institute for Research, Aurel Vlaicu University of Arad, 310330 Arad, Romania; (D.I.); (F.-D.M.); (D.C.)
| | - Florentina-Daniela Munteanu
- Development and Innovation in Technical and Natural Sciences, Faculty of Food Engineering, Tourism and Environmental Protection, Institute for Research, Aurel Vlaicu University of Arad, 310330 Arad, Romania; (D.I.); (F.-D.M.); (D.C.)
| | - Dana Copolovici
- Development and Innovation in Technical and Natural Sciences, Faculty of Food Engineering, Tourism and Environmental Protection, Institute for Research, Aurel Vlaicu University of Arad, 310330 Arad, Romania; (D.I.); (F.-D.M.); (D.C.)
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Vicens P, Heredia L, Bustamante E, Pérez Y, Domingo JL, Torrente M. Does living close to a petrochemical complex increase the adverse psychological effects of the COVID-19 lockdown? PLoS One 2021; 16:e0249058. [PMID: 33730077 PMCID: PMC7968890 DOI: 10.1371/journal.pone.0249058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 03/10/2021] [Indexed: 11/19/2022] Open
Abstract
The petrochemical industry has made the economic development of many local communities possible, increasing employment opportunities and generating a complex network of closely-related secondary industries. However, it is known that petrochemical industries emit air pollutants, which have been related to different negative effects on mental health. In addition, many people around the world are being exposed to highly stressful situations deriving from the COVID-19 pandemic and the lockdowns adopted by national and regional governments. The present study aims to analyse the possible differential effects on various psychological outcomes (stress, anxiety, depression and emotional regulation strategies) stemming from the COVID-19 pandemic and consequent lockdown experienced by individuals living near an important petrochemical complex and subjects living in other areas, nonexposed to the characteristic environmental pollutants emitted by these kinds of complex. The sample consisted of 1607 subjects who answered an ad hoc questionnaire on lockdown conditions, the Perceived Stress Scale (PSS), the Hospital Anxiety and Depression Scale (HADS), the Barratt Impulsivity Scale (BIS) and the Emotional Regulation Questionnaire (ERQ). The results indicate that people living closer to petrochemical complexes reported greater risk perception [K = 73.42, p < 0.001, with a medium size effect (η2 = 0.061)]. However, no significant relationship between psychological variables and proximity to the focus was detected when comparing people living near to or far away from a chemical/petrochemical complex. Regarding the adverse psychological effects of the first lockdown due to COVID-19 on the general population in Catalonia, we can conclude that the conditions included in this survey were mainly related to changes in the participants' impulsivity levels, with different total impulsivity scores being obtained if they had minors in their care (p<0.001), if they had lost their jobs, if they were working (p<0.001), if they were not telecommuting (p<0.001), if they went out to work (p<0.001) or if they established routines (p = 0.009). However, we can also be fairly certain that the economic effects are going to be worse than those initially detected in this study. More research will be necessary to corroborate our results.
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Affiliation(s)
- Paloma Vicens
- Department of Psychology, CRAMC (Research Center for Behavior Assessment), Universitat Rovira i Virgili, Tarragona, Spain
- Laboratory of Toxicology and Environmental Health, TECNATOX, School of Medicine, Universitat Rovira i Virgili, Reus, Spain
| | - Luis Heredia
- Department of Psychology, CRAMC (Research Center for Behavior Assessment), Universitat Rovira i Virgili, Tarragona, Spain
- Laboratory of Toxicology and Environmental Health, TECNATOX, School of Medicine, Universitat Rovira i Virgili, Reus, Spain
| | - Edgar Bustamante
- Department of Geography, GRATET, Universitat Rovira i Virgili, Vila-seca, Spain
| | - Yolanda Pérez
- Department of Geography, GRATET, Universitat Rovira i Virgili, Vila-seca, Spain
| | - José L. Domingo
- Laboratory of Toxicology and Environmental Health, TECNATOX, School of Medicine, Universitat Rovira i Virgili, Reus, Spain
| | - Margarita Torrente
- Department of Psychology, CRAMC (Research Center for Behavior Assessment), Universitat Rovira i Virgili, Tarragona, Spain
- Laboratory of Toxicology and Environmental Health, TECNATOX, School of Medicine, Universitat Rovira i Virgili, Reus, Spain
- * E-mail:
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Shin HH, Gogna P, Maquiling A, Parajuli RP, Haque L, Burr B. Comparison of hospitalization and mortality associated with short-term exposure to ambient ozone and PM 2.5 in Canada. CHEMOSPHERE 2021; 265:128683. [PMID: 33158503 DOI: 10.1016/j.chemosphere.2020.128683] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 10/15/2020] [Accepted: 10/19/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Hospitalization and mortality (H-M) have been linked to air pollution separately. However, previous studies have not adequately compared whether air pollution is a stronger risk factor for hospitalization or mortality. This study aimed to investigate differences in H-M risk from short-term ozone and PM2.5 exposures, and determine whether differences are modified by season, age, and sex. METHODS Daily ozone, PM2.5, temperature, and all-cause H-M counts (ICD-10, A00-R99) were collected for 22-24 Canadian cities for up to 29 years. Generalized additive Poisson models were employed to estimate associations between each pollutant and health outcome, which were compared across season (warm, cold, or year-round), age (all ages or seniors > 65), and sex. RESULTS Overall, ozone and PM2.5 showed higher season-specific risk of mortality than hospitalization: warm-season ozone: 0.54% (95% credible interval, 0.20, 0.85) vs. 0.14% (0.02, 0.27) per 10 ppb; and year-round PM2.5: 0.90% (0.33, 1.41) vs. 0.29% (0.03, 0.56) per 10 μg/m3. While age showed little H-M difference, sex appeared to be a modifier of H-M risk. While females had higher mortality risk, males had higher hospitalization risk: for females, ozone 0.87% (0.36, 1.35) vs. -0.03% (-0.18, 0.11) and PM2.5 1.19% (0.40, 1.90) vs. 0.19% (-0.10, 0.47); and for males ozone 0.20% (-0.28, 0.65) vs. 0.35% (0.18, 0.51). CONCLUSION This study found H-M differences attributable to ozone and PM2.5, suggesting that both are stronger risk factors for mortality than hospitalization. In addition, there were clear H-M differences by sex: specifically, females showed higher mortality risk and males showed higher hospitalization risk.
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Affiliation(s)
- Hwashin Hyun Shin
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada; Department of Mathematics and Statistics, Queen's University, Kingston, ON, Canada.
| | - Priyanka Gogna
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada.
| | - Aubrey Maquiling
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada.
| | | | - Lani Haque
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada.
| | - Benjamin Burr
- Department of Mathematics and Statistics, Carleton University, Ottawa, ON, Canada.
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Álvaro-Meca A, Sánchez-López A, Resino R, Tamayo E, Resino S. Environmental factors are associated with hospital admissions for sepsis-related pneumonia: A bidirectional case-crossover design. ENVIRONMENTAL RESEARCH 2020; 191:110102. [PMID: 32861723 DOI: 10.1016/j.envres.2020.110102] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 08/10/2020] [Accepted: 08/18/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVE Pneumonia is a common cause of morbidity and sepsis worldwide, mainly in the elderly. We evaluated the impact of short-term exposure to environmental factors on hospital admissions for sepsis-related pneumonia in a nationwide study in Spain. METHODS We conducted a bidirectional case-crossover study in patients who had sepsis-related pneumonia in 2013. Data were obtained from the Minimum Basic Data Set (MBDS) and the State Meteorological Agency (AEMET) of Spain. Conditional logistic regressions were used to evaluate the association between environmental factors (temperature, relative humidity, NO2, SO2, O3, PM10, and CO) and hospital admissions with sepsis-related pneumonia. RESULTS A total of 3,262,758 hospital admissions were recorded in the MBDS, of which, 253,467 were patients with sepsis. Among those, 67,443 had sepsis-related pneumonia and zip code information. We found inverse associations [adjusted odds ratio (aOR) values < 1] between short-term exposure to temperature and hospital admissions for sepsis-related pneumonia. Moreover, short-term exposure to higher levels of relative humidity, NO2, SO2, O3, PM10, and CO were directly associated (aOR values > 1) with a higher risk of hospital admissions for sepsis-related pneumonia. Overall, the impact of environmental factors was more prominent with increasing age, mainly among the elderly aged 65 or over. CONCLUSION Short-term exposure to environmental factors (temperature, relative humidity, NO2, SO2, O3, CO, and PM10) was associated with a higher risk of hospital admissions for sepsis-related pneumonia. Our findings support the role of environmental factors in monitoring the risk of hospital admissions for sepsis-related pneumonia and can help plan and prepare public health resources.
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Affiliation(s)
- Alejandro Álvaro-Meca
- Departamento de Medicina Preventiva y Salud Pública, Facultad de Ciencias de La Salud, Universidad Rey Juan Carlos, Alcorcón, Madrid, Spain.
| | - Ainhoa Sánchez-López
- Departamento de Anestesiología y Reanimación, Hospital Clínico Universitario, Valladolid, Spain; Grupo de Biomedicina en Cuidados Críticos (BioCritic), Spain
| | - Rosa Resino
- Departamento de Geografía Humana, Facultad de Geografía e Historia, Universidad Complutense de Madrid, Madrid, Spain
| | - Eduardo Tamayo
- Departamento de Anestesiología y Reanimación, Hospital Clínico Universitario, Valladolid, Spain; Grupo de Biomedicina en Cuidados Críticos (BioCritic), Spain
| | - Salvador Resino
- Grupo de Biomedicina en Cuidados Críticos (BioCritic), Spain; Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain.
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Symonds P, Milner J, Mohajeri N, Aplin J, Hale J, J Lloyd S, Fremont H, Younkin S, Shrubsole C, Robertson L, Taylor J, Zimmermann N, Wilkinson P, Davies M. A tool for assessing the climate change mitigation and health impacts of environmental policies: the Cities Rapid Assessment Framework for Transformation (CRAFT). Wellcome Open Res 2020; 5:269. [PMID: 34307900 PMCID: PMC8280949 DOI: 10.12688/wellcomeopenres.16345.1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/30/2020] [Indexed: 09/21/2023] Open
Abstract
Background: A growing number of cities, including Greater London, have set ambitious targets, including detailed policies and implementation plans, to reach global goals on sustainability, health, and climate change. Here we present a tool for a rapid assessment of the magnitude of impact of specific policy initiatives to reach these targets. The decision-support tool simultaneously quantifies the environmental and health impacts of specified selected policies. Methods: The 'Cities Rapid Assessment Framework for Transformation (CRAFT)' tool was applied to Greater London. CRAFT quantifies the effects of ten environmental policies on changes in (1) greenhouse gas (GHG) emissions, (2) exposures to environmental hazards, (3) travel-related physical activity, and (4) mortality (the number of attributable deaths avoided in one typical year). Publicly available data and epidemiological evidence were used to make rapid quantitative estimates of these effects based on proportional reductions in GHG emissions and environmental exposures from current baseline levels and to compute the mortality impacts. Results: The CRAFT tool estimates that, of roughly 50,000 annual deaths in Greater London, the modelled hazards (PM 2.5 (from indoor and outdoor sources), outdoor NO 2, indoor radon, cold, overheating) and low travel-related physical activity are responsible for approximately 10,000 premature environment-related deaths. Implementing the selected polices could reduce the annual mortality number by about 20% (~1,900 deaths) by 2050. The majority of these deaths (1,700) may be avoided through increased uptake in active travel. Thus, out of ten environmental policies, the 'active travel' policy provides the greatest health benefit. Also, implementing the ten policies results in a GHG reduction of around 90%. Conclusions: The CRAFT tool quantifies the effects of city policies on reducing GHG emissions, decreasing environmental health hazards, and improving public health. The tool has potential value for policy makers through providing quantitative estimates of health impacts to support and prioritise policy options.
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Affiliation(s)
- Phil Symonds
- UCL Institute for Environmental Design and Engineering, London, WC1H 0NN, UK
| | - James Milner
- Centre on Climate Change and Planetary Health & Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London, UK
| | - Nahid Mohajeri
- UCL Institute for Environmental Design and Engineering, London, WC1H 0NN, UK
| | | | - Joanna Hale
- Centre for Behaviour Change, University College London, London, UK
| | - Simon J Lloyd
- Climate and Health Program (CLIMA), Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
| | - Henry Fremont
- Global Health Institute, University of Wisconsin, Madison, USA
| | - Sam Younkin
- Global Health Institute, University of Wisconsin, Madison, USA
| | - Clive Shrubsole
- UCL Institute for Environmental Design and Engineering, London, WC1H 0NN, UK
| | | | - Jonathon Taylor
- UCL Institute for Environmental Design and Engineering, London, WC1H 0NN, UK
- Department of Civil Engineering, Tampere University, Tampere, Finland
| | - Nici Zimmermann
- UCL Institute for Environmental Design and Engineering, London, WC1H 0NN, UK
| | - Paul Wilkinson
- Centre on Climate Change and Planetary Health & Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London, UK
| | - Mike Davies
- UCL Institute for Environmental Design and Engineering, London, WC1H 0NN, UK
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Marquès M, Domingo JL, Nadal M, Schuhmacher M. Health risks for the population living near petrochemical industrial complexes. 2. Adverse health outcomes other than cancer. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 730:139122. [PMID: 32388111 DOI: 10.1016/j.scitotenv.2020.139122] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 04/28/2020] [Accepted: 04/28/2020] [Indexed: 05/12/2023]
Affiliation(s)
- Montse Marquès
- Laboratory of Toxicology and Environmental Health, School of Medicine, IISPV, Universitat Rovira i Virgili, Sant Llorenç 21, 43201 Reus, Catalonia, Spain
| | - José L Domingo
- Laboratory of Toxicology and Environmental Health, School of Medicine, IISPV, Universitat Rovira i Virgili, Sant Llorenç 21, 43201 Reus, Catalonia, Spain.
| | - Martí Nadal
- Laboratory of Toxicology and Environmental Health, School of Medicine, IISPV, Universitat Rovira i Virgili, Sant Llorenç 21, 43201 Reus, Catalonia, Spain
| | - Marta Schuhmacher
- Departament d'Enginyeria Química, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Catalonia, Spain
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