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Huang JY, Feng W, Sang GX, McDonald S, He TF, Lin Y. Association between short-term exposure to ambient air pollutants and the risk of hospital visits for acute upper respiratory tract infections among adults: a time-series study in Ningbo, China. BMC Public Health 2024; 24:1555. [PMID: 38858655 PMCID: PMC11163729 DOI: 10.1186/s12889-024-19030-7] [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: 02/07/2024] [Accepted: 05/31/2024] [Indexed: 06/12/2024] Open
Abstract
OBJECTIVES Acute upper respiratory tract infections (AURTIs) are prevalent in the general population. However, studies on the association of short-term exposure to air pollution with the risk of hospital visits for AURTIs in adults are limited. This study aimed to explore the short-term exposure to air pollutants among Chinese adults living in Ningbo. METHODS Quasi-Poisson time serious regressions with distributed lag non-linear models (DLNM) were applied to explore the association between ambient air pollution and AURTIs cases. Patients ≥ 18 years who visit three hospitals, being representative for urban, urban-rural junction and rural were included in this retrospective study. RESULTS In total, 104,441 cases with AURTIs were enrolled in hospital during 2015-2019. The main results showed that particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5), nitrogen dioxide (NO2) and nitrogen dioxide (SO2), were positively associated to hospital visits for AURTIs, except for nitrogen dioxide (O3), which was not statistically significant. The largest single-lag effect for PM2.5 at lag 8 days (RR = 1.02, 95%CI: 1.08-1.40), for NO2 at lag 13 days (RR = 1.03, 95%CI: 1.00-1.06) and for SO2 at lag 5 days (RR = 1.27, 95%CI: 1.08-1.48), respectively. In the stratified analysis, females, and young adults (18-60 years) were more vulnerable to PM2.5 and SO2 and the effect was greater in rural areas and urban-rural junction. CONCLUSIONS Exposure to ambient air pollution was significantly associated with hospital visits for AURTIs. This study provides epidemiological evidence for policymakers to control better air quality and establish an enhanced system of air pollution alerts.
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Affiliation(s)
- Jin-Ying Huang
- Nottingham Ningbo GRADE Centre, School of Economics, Faculty of Humanities and Social Sciences, University of Nottingham, Ningbo, China
| | - Wei Feng
- Fenghua District Center for Disease Control and Prevention, Ningbo, China
| | - Guo-Xin Sang
- Ningbo Municipal Center for Disease Control and Prevention, 1166, Fanjiangan Road, Ningbo, 315010, China
| | - Stuart McDonald
- Nottingham Ningbo GRADE Centre, School of Economics, Faculty of Humanities and Social Sciences, University of Nottingham, Ningbo, China
| | - Tian-Feng He
- Ningbo Municipal Center for Disease Control and Prevention, 1166, Fanjiangan Road, Ningbo, 315010, China.
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China.
| | - Yi Lin
- Nottingham Ningbo GRADE Centre, School of Economics, Faculty of Humanities and Social Sciences, University of Nottingham, Ningbo, China.
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Zhang J, Xu Z, Han P, Fu Y, Wang Q, Wei X, Wang Q, Yang L. Exploring the Modifying Role of GDP and Greenness on the Short Effect of Air Pollutants on Respiratory Hospitalization in Beijing. GEOHEALTH 2024; 8:e2023GH000930. [PMID: 38505689 PMCID: PMC10949333 DOI: 10.1029/2023gh000930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 01/31/2024] [Accepted: 02/28/2024] [Indexed: 03/21/2024]
Abstract
It is unclear whether Gross Domestic Product (GDP) and greenness have additional modifying effects on the association between air pollution and respiratory system disease. Utilizing a time-stratified case-crossover design with a distributed lag linear model, we analyzed the association between six pollutants (PM2.5, PM10, NO2, SO2, O3, and CO) and 555,498 respiratory hospital admissions in Beijing from 1st January 2016 to 31st December 2019. We employed conditional logistic regression, adjusting for meteorological conditions, holidays and influenza, to calculate percent change of hospitalization risk. Subsequently, we performed subgroup analysis to investigate potential effect modifications using a two-sample z test. Every 10 μg/m3 increase in PM2.5, PM10, NO2, SO2, and O3 led to increases of 0.26% (95%CI: 0.17%, 0.35%), 0.15% (95%CI: 0.09%, 0.22%), 0.61% (95%CI: 0.44%, 0.77%), 1.72% (95%CI: 1.24%, 2.21%), and 0.32% (95%CI: 0.20%, 0.43%) in admissions, respectively. Also, a 1 mg/m3 increase in CO levels resulted in a 2.50% (95%CI: 1.96%, 3.04%) rise in admissions. The links with NO2 (p < 0.001), SO2 (p < 0.001), O3 (during the warm season, p < 0.001), and CO (p < 0.001) were significantly weaker among patients residing in areas with higher levels of greenness. No significant modifying role of GDP was observed. Greenness can help mitigate the effects of air pollutants, while the role of GDP needs further investigation.
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Affiliation(s)
- Jiawei Zhang
- Department of Health Policy and ManagementPeking University School of Public HealthBeijingChina
| | - Zhihu Xu
- Department of Occupational and Environmental Health SciencesPeking University School of Public HealthBeijingChina
| | - Peien Han
- Department of Health Policy and ManagementPeking University School of Public HealthBeijingChina
| | - Yaqun Fu
- Department of Health Policy and ManagementPeking University School of Public HealthBeijingChina
| | - Quan Wang
- Department of Health Policy and ManagementPeking University School of Public HealthBeijingChina
- Brown SchoolWashington University in St. LouisSt. LouisMOUSA
| | - Xia Wei
- Department of Health Policy and ManagementPeking University School of Public HealthBeijingChina
- Department of Health Services Research and PolicyLondon School of Hygiene & Tropical MedicineLondonUK
| | - Qingbo Wang
- Department of Health Policy and ManagementPeking University School of Public HealthBeijingChina
| | - Li Yang
- Department of Health Policy and ManagementPeking University School of Public HealthBeijingChina
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Zhang Y, Yang X, Jiang W, Gao X, Yang B, Feng XL, Yang L. Short-term effects of air pollutants on hospital admissions for asthma among older adults: a multi-city time series study in Southwest, China. Front Public Health 2024; 12:1346914. [PMID: 38347929 PMCID: PMC10859495 DOI: 10.3389/fpubh.2024.1346914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/12/2024] [Indexed: 02/15/2024] Open
Abstract
Background This study aimed to explore the relationship between air pollution and hospital admissions for asthma in older adults, and to further assess the health and economic burden of asthma admissions attributable to air pollution. Methods We collected information on asthma cases in people over 65 years of age from nine cities in Sichuan province, as well as air pollution and meteorological data. The relationship between short-term air pollutant exposure and daily asthma hospitalizations was analyzed using the generalized additive model (GAM), and stratified by gender, age, and season. In addition, we assessed the economic burden of hospitalization for air pollution-related asthma in older adults using the cost of disease approach. Results The single pollutant model showed that every 1 mg/m3 increase in CO was linked with an increase in daily hospitalizations for older adults with asthma, with relative risk values of 1.327 (95% CI: 1.116-1.577) at lag7. Each 10 μg/m3 increase in NO2, O3, PM10, PM2.5 and SO2, on asthma hospitalization, with relative risk values of 1.044 (95% CI: 1.011-1.078), 1.018 (95% CI: 1.002-1.034), 1.013 (95% CI: 1.004-1.022), 1.015 (95% CI: 1.003-1.028) and 1.13 (95% CI: 1.041-1.227), respectively. Stratified analysis shows that stronger associations between air pollution and asthma HAs among older adult in females, those aged 65-69 years, and in the warm season, although all of the differences between subgroups did not reach statistical significance. During the study period, the number of asthma hospitalizations attributable to PM2.5, PM10, and NO2 pollution was 764, 581 and 95, respectively, which resulted in a total economic cost of 6.222 million CNY, 4.73 million CNY and 0.776 million CNY, respectively. Conclusion This study suggests that short-term exposure to air pollutants is positively associated with an increase in numbers of asthma of people over 65 years of age in Sichuan province, and short-term exposure to excessive PM and NO2 brings health and economic burden to individuals and society.
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Affiliation(s)
- Yuqin Zhang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xi Yang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Wanyanhan Jiang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xi Gao
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Biao Yang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xing Lin Feng
- School of Public Health, Peking University, Beijing, China
| | - Lian Yang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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陈 一, 胡 耀, 詹 宇, 孙 雅, 李 春, 辜 永, 曾 筱. [Effect of Short-Term Exposure to Air Pollutants on Hospital Admissions for End-Stage Renal Disease Patients Undergoing Hemodialysis]. SICHUAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF SICHUAN UNIVERSITY. MEDICAL SCIENCE EDITION 2023; 54:1176-1183. [PMID: 38162061 PMCID: PMC10752782 DOI: 10.12182/20231160504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Indexed: 01/03/2024]
Abstract
Objective To evaluate the association between short-term exposure to air pollutants of end-stage renal disease (ESRD) patients on maintenance hemodialysis and the number of daily hospital admissions. Methods The data on hospitalizations were obtained from the database of the municipal Urban Employees' Basic Medical Insurance and Urban Residents' Basic Medical Insurance of a city in Southwest China. Single and multiple pollutant generalized additive models were utilized to estimate the effect of air pollutants (CO, NO2, O3, PM10, PM2.5, and SO2) on patient admissions after the lag time of different numbers of days. In addition, subgroup analyses stratified by sex, age, PM2.5 and PM10 concentration thresholds, seasonality, and comorbidity status for cardiovascular diseases and hypertension were conducted. Results In the single pollutant models, the pollutants significantly associated with patient admissions and the corresponding lag time of the strongest association were as follows, every time CO increased by 0.1 mg/m3, there was a 2.39% increase (95% confidence interval [CI]: 0.96%-3.83%) in patient admissions after 7 days of lag time; every time NO2, O3, PM2.5, PM10, and SO2 increased by 10 μg/m3, patient admissions increased by 4.02% (95% CI: 1.21%-6.91%) after 7 days of lag time, 3.57% (95% CI: 0.78%-6.44%) after 0-4 days of lag time, 2.00% (95% CI: 1.07%-2.93%) after 6 days of lag time, 1.19% (95% CI: 0.51%-1.88%) after 7 days of lag time, and 8.37% (95% CI: 3.08%-13.93%) after 7 days of lag time, respectively. In the multiple pollutant model, every time O3 and PM2.5 increased by 10 μg/m3, there was an increase of 3.18% (95% CI: 0.34%-6.09%) in daily patient admissions after 0-4 days of lag time and an increase of 1.85% (95% CI: 0.44%-3.28%) after 7 days of lag time. Furthermore, subgroup analyses showed that seasonality, the severity of air pollution, and patients' comorbidities might be the effect modifiers for the association between ambient air pollution and hospital admissions in ESRD patients receiving maintenance hemodialysis. Conclusion Air pollution is closely associated with hospital admissions in ESRD patients undergoing maintenance hemodialysis and the strength of this association varies according to seasonality, the severity of air pollution, and patients' status of comorbidities.
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Affiliation(s)
- 一龙 陈
- 四川大学华西医院 肾脏内科与华西生物医学大数据中心 (成都 610041)Department of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
- 四川大学“医学+信息”中心 (成都 610041)Med-X Center for Informatics, Sichuan University, Chengdu 610041, China
| | - 耀 胡
- 四川大学华西医院 肾脏内科与华西生物医学大数据中心 (成都 610041)Department of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
- 四川大学“医学+信息”中心 (成都 610041)Med-X Center for Informatics, Sichuan University, Chengdu 610041, China
| | - 宇 詹
- 四川大学华西医院 肾脏内科与华西生物医学大数据中心 (成都 610041)Department of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - 雅婧 孙
- 四川大学华西医院 肾脏内科与华西生物医学大数据中心 (成都 610041)Department of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
- 四川大学“医学+信息”中心 (成都 610041)Med-X Center for Informatics, Sichuan University, Chengdu 610041, China
| | - 春漾 李
- 四川大学华西医院 肾脏内科与华西生物医学大数据中心 (成都 610041)Department of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
- 四川大学“医学+信息”中心 (成都 610041)Med-X Center for Informatics, Sichuan University, Chengdu 610041, China
| | - 永红 辜
- 四川大学华西医院 肾脏内科与华西生物医学大数据中心 (成都 610041)Department of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
- 四川大学“医学+信息”中心 (成都 610041)Med-X Center for Informatics, Sichuan University, Chengdu 610041, China
| | - 筱茜 曾
- 四川大学华西医院 肾脏内科与华西生物医学大数据中心 (成都 610041)Department of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
- 四川大学“医学+信息”中心 (成都 610041)Med-X Center for Informatics, Sichuan University, Chengdu 610041, China
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Ding J, Han S, Wang X, Yao Q. Impact of air pollution changes and meteorology on asthma outpatient visits in a megacity in North China Plain. Heliyon 2023; 9:e21803. [PMID: 38027642 PMCID: PMC10651508 DOI: 10.1016/j.heliyon.2023.e21803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 09/08/2023] [Accepted: 10/28/2023] [Indexed: 12/01/2023] Open
Abstract
The effects of air pollution and meteorology on asthma is less studied in North China Plain. In the last decade, air quality in this region is markedly mitigated. This study compared the short-term effects of air pollutants on daily asthma outpatient visits (AOV) within different sex and age groups from 2014 to 2016 and 2017-2019 in Tianjin, with the application of distributed lag nonlinear model. Moreover, relative humidity (RH) and temperature as well as the synergistic impact with air pollutants were assessed. Air pollutants-associated risk with linear (different reference values were used) and non-linear assumptions were compared. In 2014-2016, PM10 and PM2.5 exhibited a larger impact on AOV, with the corresponding cumulative excess risks (ER) for every 10 μg/m3 increase at 1.04 % (95%CI:0.67-1.40 %, similarly hereafter) and 0.79 % (0.35-1.23 %), as well as increased to 43 % (26-63 %) and 20 % (10-31 %) at severe pollution. In 2017-2019, NO2 and MDA8 O3 exhibited a larger impact on AOV, with a cumulative ER for every 10 μg/m3 increase at 1.0 (0.63-1.4 %) and 0.36 % (0.15-0.57 %), with corresponding values of 7.9 % (4.8-11 %) and 5.6 % (2.3-9.0 %), at severe pollution. SO2 associated risk was only significant from 2014 to 2016. Cold effect, including extremely low temperature exposure and sharp temperature drop could generate a pronounced increase in AOV at 9.6 % (3.8-16 %) and 24 % (9.1-41 %), respectively. Moderate low temperature combined with air pollutants can enhance AOV during winter. Higher temperature in spring and autumn could trigger asthma by increasing pollen levels. Low RH resulted in AOV increase by 4.6 % (2.4-6.9), while higher RH generated AOV increase by 3.4 % (1.6-5.3). Females, children, and older adults tended to have a higher risk for air pollution, non-optimum temperature, and RH. As air pollution-associated risks on AOV tends to be weaker due to air quality improvement in recent years, the impact of extreme meteorological condition amidst climate change on asthma visits warrants further attention.
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Affiliation(s)
- Jing Ding
- Tianjin Environmental Meteorological Center, Tianjin 300070, China
- CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300070, China
| | - Suqin Han
- Tianjin Environmental Meteorological Center, Tianjin 300070, China
- CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300070, China
| | - Xiaojia Wang
- Tianjin Environmental Meteorological Center, Tianjin 300070, China
- CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300070, China
| | - Qing Yao
- Tianjin Environmental Meteorological Center, Tianjin 300070, China
- CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300070, China
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Zhang Z, Zhang G, Li L. The spatial impact of atmospheric environmental policy on public health based on the mediation effect of air pollution in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:116584-116600. [PMID: 35779217 DOI: 10.1007/s11356-022-21501-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 06/12/2022] [Indexed: 05/08/2023]
Abstract
The topic of air pollution and its effect on public health has become a hot policy issue that has attracted worldwide attention, but this attention has seldom been extended to the causal relationship between atmospheric environmental policy (AEP), air pollution, and public health. This paper uses panel data from 30 provinces in China to construct spatial econometric models that analyze the impact of AEP on air pollution, the impact of air pollution on public health, and the mediation effect that air pollution may have between AEP and public health. The results demonstrate that there is a significant positive spatial spillover effect of soot and dust (SD) emission intensity and the overall air pollution level as measured by the Air Pollution Index (API). The AEP has significant inhibitory effects on the intensity of sulfur dioxide and SD emissions, as well as on overall air pollution. An increase in the overall air pollution level has a significant detrimental effect on public health as measured by average life expectancy. Air pollution as measured by API is a mediating factor in the relationship between AEP and public health. The study results could help to effectively control air pollution and promote public health by leading to improvements in regional pollution prevention and control mechanisms and strengthening of the central government's policy formulation and local governments' policy implementation process.
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Affiliation(s)
- Zhenhua Zhang
- Institute of Green Finance, Lanzhou University, Lanzhou, 730000, China
| | - Guoxing Zhang
- Institute of Green Finance, Lanzhou University, Lanzhou, 730000, China.
- School of Management, Lanzhou University, Lanzhou, 730000, China.
| | - Lili Li
- Lee Kuan Yew School of Public Policy, National University of Singapore, Singapore, 259772, Singapore
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Ru M, Shindell D, Spadaro JV, Lamarque JF, Challapalli A, Wagner F, Kiesewetter G. New concentration-response functions for seven morbidity endpoints associated with short-term PM 2.5 exposure and their implications for health impact assessment. ENVIRONMENT INTERNATIONAL 2023; 179:108122. [PMID: 37659174 DOI: 10.1016/j.envint.2023.108122] [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: 03/12/2023] [Revised: 07/26/2023] [Accepted: 07/28/2023] [Indexed: 09/04/2023]
Abstract
BACKGROUND Morbidity burdens from ambient air pollution are associated with market and non-market costs and are therefore important for policymaking. The estimation of morbidity burdens is based on concentration-response functions (CRFs). Most existing CRFs for short-term exposures to PM2.5 assume a fixed risk estimate as a log-linear function over an extrapolated exposure range, based on evidence primarily from Europe and North America. OBJECTIVES We revisit these CRFs by performing a systematic review for seven morbidity endpoints previously assessed by the World Health Organization, including data from all available regions. These endpoints include all cardiovascular hospital admission, all respiratory hospital admission, asthma hospital admission and emergency room visit, along with the outcomes that stem from morbidity, such as lost work days, respiratory restricted activity days, and child bronchitis symptom days. METHODS We estimate CRFs for each endpoint, using both a log-linear model and a nonlinear model that includes additional parameters to better fit evidence from high-exposure regions. We quantify uncertainties associated with these CRFs through randomization and Monte Carlo simulations. RESULTS The CRFs in this study show reduced model uncertainty compared with previous CRFs in all endpoints. The nonlinear CRFs produce more than doubled global estimates on average, depending on the endpoint. Overall, we assess that our CRFs can be used to provide policy analysis of air pollution impacts at the global scale. It is however important to note that improvement of CRFs requires observations over a wide range of conditions, and current available literature is still limited. DISCUSSION The higher estimates produced by the nonlinear CRFs indicates the possibility of a large underestimation in current assessments of the morbidity impacts attributable to air pollution. Further studies should be pursued to better constrain the CRFs studied here, and to better characterize the causal relationship between exposures to PM2.5 and morbidity outcomes.
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Affiliation(s)
- Muye Ru
- Nicholas School of the Environment, Duke University, Durham, NC, USA; Now at The Earth Institute, Columbia University, New York, NY, USA.
| | - Drew Shindell
- Nicholas School of the Environment, Duke University, Durham, NC, USA; Porter School of the Environment and Earth Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Joseph V Spadaro
- Spadaro Environmental Research Consultants, Philadelphia, PA, USA
| | | | | | - Fabian Wagner
- International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Gregor Kiesewetter
- International Institute for Applied Systems Analysis, Laxenburg, Austria
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Wei T, Chen C, Yang Y, Li L, Wang J, Ye M, Kan H, Yang D, Song Y, Cai J, Hou D. Associations between short-term exposure to ambient air pollution and lung function in adults. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2023:10.1038/s41370-023-00550-0. [PMID: 37179406 DOI: 10.1038/s41370-023-00550-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 04/06/2023] [Accepted: 04/17/2023] [Indexed: 05/15/2023]
Abstract
BACKGROUND Evidence of the acute effects of high-level air pollution on small airway function and systemic inflammation in adults is scarce. OBJECTIVE To examined the associations of short-term (i.e., daily) exposure to multiple air pollutants with lung function and inflammatory markers. METHODS We assessed short-term (daily) effects of air pollutants, including particulate matter with aerodynamic diameter less than 2.5 μm (PM2.5) and 10 μm (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2) and carbon monoxide (CO), on lung function and peripheral immune cell counts over various lag times using generalized linear regression models. RESULTS A total of 4764 adults were included from the general community-dwelling population in Shanghai, China. Exposure to air pollutants and lung function were negatively correlated. Decline in FEF between 25% and 75% of vital capacity (FEF25-75%) were found associated with PM2.5, SO2, and CO, and decline in forced expiratory volume in 3 s (FEV3) to forced vital capacity (FVC) ratio were associated with all examined pollutants, indicating obstruction in small airways. Obstructed airflow in large and middle airways as indicated by decline in FEV1/FVC were also associated with all pollutants. In subgroup analysis, significant negative associations between the five pollutants and SAD parameters were found only in males but not in females. The difference in the associations of SO2 with FEF75% between males and females achieved statistical significance. Additionally, all examined pollutants were significantly associated with lower peripheral neutrophil count. IMPACT STATEMENT Acute exposure to air pollutants were associated with airflow-limitation. Both small airways and proximal airways were affected. Acute exposure to air pollutants were accompanied with a lower neutrophil count.
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Affiliation(s)
- Tingting Wei
- Shanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Cuicui Chen
- Shanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Yanjie Yang
- Shanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Li Li
- Shanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Jian Wang
- Shanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Maosong Ye
- Shanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Dong Yang
- Shanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Yuanlin Song
- Shanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- National and Shanghai Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China.
- Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai, China.
| | - Dongni Hou
- Shanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
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Gracia-de-Rentería P, Ferrer-Pérez H, Sanjuán AI, Philippidis G. Live and let live: understanding the temporal drivers and spillovers of life expectancy in Europe for public planning. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2023; 24:335-347. [PMID: 35616793 PMCID: PMC9134730 DOI: 10.1007/s10198-022-01469-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 04/12/2022] [Indexed: 06/15/2023]
Abstract
The European continent has one of the longest life expectancies in the world, but still faces a significant challenge to meet the health targets set by the Sustainable Development Goals of the United Nations for 2030. To improve the understanding of the rationale that guides health outcomes in Europe, this study assesses the direction and magnitude effects of the drivers that contribute to explain life expectancy at birth across 30 European countries for the period 2008-2018 at macro-level. For this purpose, an aggregated health production function is used allowing for spatial effects. The results indicate that an increase in the income level, health expenditure, trade openness, education attainment, or urbanisation might lead to an increase in life expectancy at birth, whereas calories intake or quantity of air pollutants have a negative impact on this health indicator. This implies that health policies should look beyond economic factors and focus also on social and environmental drivers. The results also indicate the existence of significant spillover effects, highlighting the need for coordinated European policies that account for the synergies between countries. Finally, a foresight analysis is conducted to obtain projections for 2030 under different socioeconomic pathways. Results reveal significant differences on longevity projections depending on the adoption, or not, of a more sustainable model of human development and provides valuable insight on the need for anticipatory planning measures to make longer life-spans compatible with the maintenance of the welfare state.
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Affiliation(s)
- Pilar Gracia-de-Rentería
- Agrifood Economics Unit, Agrifood Research and Technology Centre of Aragon (CITA), Avda. Montañana, 930, 50059, Zaragoza, Spain.
- AgriFood Institute of Aragon-IA2 (CITA-University of Zaragoza), Miguel Servet Street, 177, 50013, Zaragoza, Spain.
| | - Hugo Ferrer-Pérez
- Agrifood Economics Unit, Agrifood Research and Technology Centre of Aragon (CITA), Avda. Montañana, 930, 50059, Zaragoza, Spain
- AgriFood Institute of Aragon-IA2 (CITA-University of Zaragoza), Miguel Servet Street, 177, 50013, Zaragoza, Spain
| | - Ana Isabel Sanjuán
- Agrifood Economics Unit, Agrifood Research and Technology Centre of Aragon (CITA), Avda. Montañana, 930, 50059, Zaragoza, Spain
- AgriFood Institute of Aragon-IA2 (CITA-University of Zaragoza), Miguel Servet Street, 177, 50013, Zaragoza, Spain
| | - George Philippidis
- AgriFood Institute of Aragon-IA2 (CITA-University of Zaragoza), Miguel Servet Street, 177, 50013, Zaragoza, Spain
- Aragonese Agency for Research and Development (ARAID), Zaragoza, Spain
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Chen S, Xu B, Shi T, Yang Q. Short-term effect of ambient air pollution on outpatient visits for children in Guangzhou, China. Front Public Health 2023; 11:1058368. [PMID: 36741946 PMCID: PMC9895100 DOI: 10.3389/fpubh.2023.1058368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 01/03/2023] [Indexed: 01/21/2023] Open
Abstract
This study examined the short-term relationship between ambient air pollutants and children's outpatient visits, and identified the effect of modifications by season. Daily recordings of air pollutants (CO, NO2, O3, SO2, PM10, and PM2.5) and children's outpatient visit data were collected in Guangzhou from 2015 to 2019. A generalized additive model adjusted for potential confounding was introduced to verify the association between ambient air pollution and outpatient visits for children. Subgroup analysis by season was performed to evaluate the potential effects. A total of 5,483,014 children's outpatient visits were recorded. The results showed that a 10 μg/m3 increase in CO, NO2, O3, SO2, PM10, and PM2.5 corresponded with a 0.19% (95% CI: 0.15-0.24%), 2.46% (2.00-2.92%), 0.27% (0.07-0.46%), 7.16% (4.80-9.57%), 1.16% (0.83-1.49%), and 1.35% (0.88-1.82%) increase in children's outpatient visits on the lag0 of exposure, respectively. The relationships were stronger for O3, PM10, and PM2.5 in the warm seasons, and for CO, NO2, and SO2 in the cool seasons. When adjusting for the co-pollutants, the effects of CO, NO2, and PM10 were robust. The results of this study indicate that six air pollutants might increase the risk of children's outpatient visits in Guangzhou, China, especially in the cool season.
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Affiliation(s)
- Sili Chen
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Binhe Xu
- Department of Clinical Medicine, Basic Medicine College, Zunyi Medical University, Zunyi, China
| | - Tongxing Shi
- Department of Environmental Hygiene, Guangzhou Center for Disease Control and Prevention, Guangzhou, China,Department of Environmental Health, Institute of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Qiaoyuan Yang
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China,Department of Environmental Health, Institute of Public Health, Guangzhou Medical University, Guangzhou, China,*Correspondence: Qiaoyuan Yang ✉
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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: 14] [Impact Index Per Article: 14.0] [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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Hwang JK, Na JY, Lee KS, Oh JW, Choi YJ. Seasonal differences in the effects of local concentrations of atmospheric substances and meteorological elements on asthma exacerbation of children in metropolitan area, Korea: A 13-year retrospective single-center study. Front Pediatr 2023; 11:1028901. [PMID: 37187585 PMCID: PMC10175777 DOI: 10.3389/fped.2023.1028901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 04/03/2023] [Indexed: 05/17/2023] Open
Abstract
Purpose Air pollutants contribute to asthma exacerbation, and the types of air pollutants involved in acute asthma exacerbation may differ depending on climate and environmental conditions. This study aimed to identify factors affecting asthma exacerbation in each of the four seasons so that to prevent acute asthma exacerbation and to establish effective treatment strategies for each season. Methods Pediatric patients aged 0-18 years old hospitalized or admitted to the emergency room for asthma exacerbation at Hanyang University Guri Hospital between January 1, 2007, and December 31, 2019 were recruited. The number of asthma exacerbations comprised the total number of patients admitted to the emergency room or hospitalized for asthma and treated with systemic steroids. The association between the number of asthma exacerbations/week and average concentrations of atmospheric substances and meteorological elements in that week were analyzed. Multiple linear regression analyses were performed to examine the association between various atmospheric variables and the number of asthma exacerbations. Results The number of asthma exacerbations was found to be associated with the concentration of particulate matter with an aerodynamic diameter of ≤10 μm in that week in autumn. No atmospheric variables exhibited an association in other seasons. Conclusions Air pollutants and meteorological factors affecting asthma exacerbation vary by season. Moreover, their effects may change via their interaction with each other. The results of this study suggest that it will be helpful to establish differentiated measures for each season to prevent asthma exacerbation.
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Affiliation(s)
- Jae Kyoon Hwang
- Department of Pediatrics, Hanyang University Guri Hospital, Guri, Republic of Korea
| | - Jae Yoon Na
- Department of Pediatrics, Hanyang University Seoul Hospital, Seoul, Republic of Korea
- Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Kyung Suk Lee
- Department of Pediatrics, Hanyang University Guri Hospital, Guri, Republic of Korea
- Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Jae-Won Oh
- Department of Pediatrics, Hanyang University Guri Hospital, Guri, Republic of Korea
- Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Young-Jin Choi
- Department of Pediatrics, Hanyang University Guri Hospital, Guri, Republic of Korea
- Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea
- Correspondence: Young-Jin Choi
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How Does Government Efficiency Affect Health Outcomes? The Empirical Evidence from 156 Countries. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159436. [PMID: 35954795 PMCID: PMC9368218 DOI: 10.3390/ijerph19159436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/13/2022] [Accepted: 07/29/2022] [Indexed: 12/10/2022]
Abstract
This paper uses the unbalanced panel data of 156 countries during the period of 2002 to 2018 to explore the possible impact of government efficiency on health outcomes. Firstly, we used the fixed-effect model to examine the relationship between government efficiency and health outcomes and found that the increase in government efficiency can significantly improve health outcomes. Then, a series of robustness checks were carried out, which confirmed the reliability of the above result. Thirdly, this paper conducted a heterogeneity analysis from the perspective of life cycle. Fourthly, this paper investigated the mechanisms of the impact of government efficiency on health outcomes from the perspectives of economic growth, health innovation, education and corruption control. Finally, this paper studied the moderating effects of the ruling party’s ideology and democracy on the relationship between government efficiency and health outcomes. The findings of this study provide some references for governments to improve health outcomes.
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Hua Y, Yuan X, Wang J, Zeng K, Zhi S, Liu L. Association between air pollution and hospital admissions for chronic respiratory disease in people aged over 65 years: a time series analysis in Ningbo, China, 2015-2017. Int Arch Occup Environ Health 2022; 95:1293-1304. [PMID: 35661917 DOI: 10.1007/s00420-022-01887-z] [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: 10/06/2021] [Accepted: 05/16/2022] [Indexed: 11/25/2022]
Abstract
PURPOSE To provide essential information of environmental triggers leading to CRD. METHODS We investigated the short-term effects of ambient air pollutants on CRD-related hospitalizations in people aged ≥ 65 years in Ningbo. Data on 23,610 cases of CRD requiring hospitalization were collected from January 2015 to August 2017. After adjusting for temporal trends, seasonality, meteorological conditions, day of week (DOW), and public holidays, we used generalized additive Poisson distribution models to calculate the excess risks (ERs) and 95% confidence intervals (95% CIs) of CRD related hospitalizations. RESULTS Our results showed that fine particulate matter (PM2.5), inhalable particulate matter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), and carbon monoxide (CO) were associated with CRD-related hospitalizations in people aged ≥ 65 years. We observed that each 10 μg/m3 increase (except for each 0.1 mg/m3 increase in CO) in the concentration of air pollutants, the percentage of CRD-related hospitalizations due to PM2.5, PM10, and SO2 exposure at lag 07, NO2 exposure at lag 03, and CO exposure at lag 0 increased by 2.13% (95% CI: 0.55%, 3.74%), 1.76% (95% CI: 0.70%, 2.83%), 8.24% (95% CI: 0.92%, 16.09%), 2.16% (95% CI: 0.26%, 4.05%), and 1.19% (95% CI: 0.26%, 2.12%), respectively. In addition, we found stronger effects of particulate matter in 75-84 years age group, on warmer days, and in asthmatics. CONCLUSION In conclusion, air pollution may have adverse effects on CRD-related hospitalizations among people aged ≥ 65 years in Ningbo. Therefore, public health measures should be taken to improve air quality.
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Affiliation(s)
- Yuzhe Hua
- School of Medicine, Ningbo University, Ningbo, China
| | - Xiaoqi Yuan
- Ningbo Women and Children Hospital, Ningbo, China
| | - Jichao Wang
- The Affiliated Hospital of Medical School, Ningbo, China
| | - Ke Zeng
- The Affiliated Hospital of Medical School, Ningbo, China
| | - Shuai Zhi
- School of Medicine, Ningbo University, Ningbo, China
| | - Liya Liu
- School of Medicine, Ningbo University, Ningbo, China.
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Dąbrowiecki P, Chciałowski A, Dąbrowiecka A, Badyda A. Ambient Air Pollution and Risk of Admission Due to Asthma in the Three Largest Urban Agglomerations in Poland: A Time-Stratified, Case-Crossover Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19105988. [PMID: 35627528 PMCID: PMC9140383 DOI: 10.3390/ijerph19105988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 05/04/2022] [Accepted: 05/11/2022] [Indexed: 11/16/2022]
Abstract
Ambient air pollution in urban areas may trigger asthma exacerbations. We carried out a time-series analysis of the association between the concentrations of various air pollutants and the risk of hospital admission due to asthma over 7 days from exposure. We used distributed lag nonlinear models to analyze data gathered between 2010 and 2018 in the three largest urban agglomerations in Poland. Overall, there were 31,919 asthma hospitalizations. Over 7 days since exposure, the rate ratio (95%CI) for admission per 10 µg/m3 was 1.013 (1.002–1.024) for PM10; 1.014 (1.000–1.028) for PM2.5; 1.054 (1.031–1.078) for NO2; and 1.044 for SO2 (95%CI: 0.986–1.104). For all pollutants, the risk of admission was the greatest on the day of exposure (day 0), decreased below baseline on days 1 and 2, and then increased gradually up to day 6. The proportions (95%CI) of hospitalizations attributable to air pollution were 4.52% (0.80%–8.14%) for PM10; 3.74% (0.29%–7.11%) for PM2.5; 16.4% (10.0%–21.8%) for NO2; and 2.50% (−0.75%–5.36%) for SO2. In conclusion, PM2.5, PM10, NO2, and SO2 pollution was associated with an increased risk of hospital admission due to asthma in the three largest urban agglomerations in Poland over nine years.
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Affiliation(s)
- Piotr Dąbrowiecki
- Department of Allergology and Infectious Diseases, Military Institute of Medicine, 04-141 Warsaw, Poland; (P.D.); (A.C.)
- Polish Federation of Asthma Allergy and COPD Patients Associations, 01-604 Warsaw, Poland
| | - Andrzej Chciałowski
- Department of Allergology and Infectious Diseases, Military Institute of Medicine, 04-141 Warsaw, Poland; (P.D.); (A.C.)
| | | | - Artur Badyda
- Polish Federation of Asthma Allergy and COPD Patients Associations, 01-604 Warsaw, Poland
- Faculty of Building Services, Hydro and Environmental Engineering, Warsaw University of Technology, 00-653 Warsaw, Poland
- Correspondence:
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Song X, Hu Y, Ma Y, Jiang L, Wang X, Shi A, Zhao J, Liu Y, Liu Y, Tang J, Li X, Zhang X, Guo Y, Wang S. Is short-term and long-term exposure to black carbon associated with cardiovascular and respiratory diseases? A systematic review and meta-analysis based on evidence reliability. BMJ Open 2022; 12:e049516. [PMID: 35504636 PMCID: PMC9066484 DOI: 10.1136/bmjopen-2021-049516] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVE Adverse health effects of fine particles (particulate matter2.5) have been well documented by a series of studies. However, evidences on the impacts of black carbon (BC) or elemental carbon (EC) on health are limited. The objectives were (1) to explored the effects of BC and EC on cardiovascular and respiratory morbidity and mortality, and (2) to verified the reliability of the meta-analysis by drawing p value plots. DESIGN The systematic review and meta-analysis using adapted Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach and p value plots approach. DATA SOURCES PubMed, Embase and Web of Science were searched from inception to 19 July 2021. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Time series, case cross-over and cohort studies that evaluated the associations between BC/EC on cardiovascular or respiratory morbidity or mortality were included. DATA EXTRACTION AND SYNTHESIS Two reviewers independently selected studies, extracted data and assessed risk of bias. Outcomes were analysed via a random effects model and reported as relative risk (RR) with 95% CI. The certainty of evidences was assessed by adapted GRADE. The reliabilities of meta-analyses were analysed by p value plots. RESULTS Seventy studies met our inclusion criteria. (1) Short-term exposure to BC/EC was associated with 1.6% (95% CI 0.4% to 2.8%) increase in cardiovascular diseases per 1 µg/m3 in the elderly; (2) Long-term exposure to BC/EC was associated with 6.8% (95% CI 0.4% to 13.5%) increase in cardiovascular diseases and (3) The p value plot indicated that the association between BC/EC and respiratory diseases was consistent with randomness. CONCLUSIONS Both short-term and long-term exposures to BC/EC were related with cardiovascular diseases. However, the impact of BC/EC on respiratory diseases did not present consistent evidence and further investigations are required. PROSPERO REGISTRATION NUMBER CRD42020186244.
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Affiliation(s)
- Xuping Song
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Yue Hu
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Yan Ma
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Liangzhen Jiang
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Xinyi Wang
- Second Clinical College, Lanzhou University, Lanzhou, Gansu, China
| | - Anchen Shi
- Department of General Surgery, Xi'an Jiaotong University Medical College First Affiliated Hospital, Xi'an, Shaanxi, China
| | - Junxian Zhao
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Yunxu Liu
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Yafei Liu
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Jing Tang
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Xiayang Li
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Xiaoling Zhang
- College of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, Sichuan, China
| | - Yong Guo
- Department of Civil Affairs in Guizhou Province, Guizhou Province People's Government, Guiyang, Guizhou, China
| | - Shigong Wang
- College of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, Sichuan, China
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Choi YJ, Lee KS, Lee YS, Kim KR, Oh JW. Analysis of the Association Among Air Pollutants, Allergenic Pollen, and Respiratory Virus Infection of Children in Guri, Korea During Recent 5 Years. ALLERGY, ASTHMA & IMMUNOLOGY RESEARCH 2022; 14:289-299. [PMID: 35557494 PMCID: PMC9110915 DOI: 10.4168/aair.2022.14.3.289] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 03/05/2022] [Accepted: 03/14/2022] [Indexed: 12/31/2022]
Abstract
PURPOSE Concerns about the spread of infectious diseases have increased due to the coronavirus disease pandemic. Knowing the factors that exacerbate or increase the contagiousness of a virus could be a key to pandemic prevention. Therefore, we investigated whether the pandemic potential of infectious diseases correlates with the concentration of atmospheric substances. We also investigated whether environmental deterioration causes an increase in viral infections. METHODS Pediatric patients (0-18 years old; n = 6,223) were recruited from those hospitalized for aggravated respiratory symptoms at Hanyang University Guri Hospital between January 1, 2015 and December 31, 2019. The number of viral infections was defined as the total number of virus-infected patients hospitalized for respiratory symptoms. We analyzed the association between the number of viral infections/week and the average concentrations of atmospheric substances including particulate matter (PM)10, PM2.5, O₃, NO₂, CO, SO₂, and allergenic pollen) for that week. The cross-correlation coefficient between the weekly measures of pollens and viral infections was checked to determine which time point had the most influence. The association of atmospheric substances in that time, with the number of viral infections/week was investigated using multiple linear regression analysis to identify factors with the greatest influence. RESULTS In spring the tree pollen average concentration one week earlier (t-1) had the greatest correlation with the average virus infection of a given week (t) (ρXY (h) =0.5210). The number of viral infections showed a statistically significant correlation with especially tree pollen concentration of 1 week prior (adj R²=0.2280). O₃ concentration was correlated to the number of viral infections within that week (adj R²=0.2552) in spring, and weed pollen and CO concentration correlated (adj R²=0.1327) in autumn. CONCLUSIONS Seasonal co-exposure to air pollutants and allergenic pollens may enhance respiratory viral infection susceptibility in children. Therefore, reducing the concentrations of air pollutants and pollens may help prevent future epidemics.
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Affiliation(s)
- Young-Jin Choi
- Department of Pediatrics, Hanyang University Guri Hospital, Guri, Korea
| | - Kyung Suk Lee
- Department of Pediatrics, Hanyang University Guri Hospital, Guri, Korea
- Department of Pediatrics, College of Medicine, Hanyang University, Seoul, Korea
| | - Young-Seop Lee
- Department of Statistics, College of Science, Dongguk University, Seoul, Korea
| | - Kyu Rang Kim
- Impact-based Forecast Research Team, High Impact Weather Research Department, National Institute of Meteorological Sciences, Gangneung, Korea
| | - Jae-Won Oh
- Department of Pediatrics, Hanyang University Guri Hospital, Guri, Korea
- Department of Pediatrics, College of Medicine, Hanyang University, Seoul, Korea.
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Liu L, Wang KH, Xiao Y. How Air Quality Affect Health Industry Stock Returns: New Evidence From the Quantile-on-Quantile Regression. Front Public Health 2021; 9:789510. [PMID: 35004590 PMCID: PMC8733208 DOI: 10.3389/fpubh.2021.789510] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 10/11/2021] [Indexed: 11/13/2022] Open
Abstract
This paper discusses the asymmetric effect of air quality (AQ) on stock returns (SR) in China's health industry through the quantile-on-quantile (QQ) regression method. Compared to prior literature, our study provides the following contributions. Government intervention, especially industrial policy, is considered a fresh and essential component of analyzing frameworks in addition to investors' physiology and psychology. Next, because of the heterogeneous responses from different industries to AQ, industrial heterogeneity is thus considered in this paper. In addition, the QQ method examines the effect of specific quantiles between variables and does not consider structural break and temporal lag effects. We obtain the following empirical results. First, the coefficients between AQ and SR in the health service and health technology industries change from positive to negative as AQ deteriorates. Second, AQ always positively influences the health business industry, but the values of the coefficients are larger in good air. In addition, different from other industries, the coefficients in the health equipment industry are negative, but the values of the coefficients change with AQ. The conclusions provide important references for investors and other market participants to avoid biased decisions due to poor AQ and pay attention to government industrial policies.
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Affiliation(s)
- Lu Liu
- School of Management, Ocean University of China, Qingdao, China
| | - Kai-Hua Wang
- School of Economics, Qingdao University, Qingdao, China
| | - Yidong Xiao
- Graduate School of Economics, The University of Tokyo, Tokyo, Japan
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Huang J, Yang X, Fan F, Hu Y, Wang X, Zhu S, Ren G, Wang G. Outdoor air pollution and the risk of asthma exacerbations in single lag0 and lag1 exposure patterns: a systematic review and meta-analysis. J Asthma 2021; 59:2322-2339. [PMID: 34809505 DOI: 10.1080/02770903.2021.2008429] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Objective: To synthesize evidence regarding the relationship between outdoor air pollution and risk of asthma exacerbations in single lag0 and lag1 exposure patterns.Methods: We performed a systematic literature search using PubMed, Embase, Cochrane Library, Web of Science, ClinicalTrials, China National Knowledge Internet, Chinese BioMedical, and Wanfang databases. Articles published until August 1, 2020 and the reference lists of the relevant articles were reviewed. Two authors independently evaluated the eligible articles and performed structured extraction of the relevant information. Pooled relative risks (RRs) and 95% confidence intervals (CIs) of lag0 and lag1 exposure patterns were estimated using random-effect models.Results: Eighty-four studies met the eligibility criteria and provided sufficient information for meta-analysis. Outdoor air pollutants were associated with increased risk of asthma exacerbations in both single lag0 and lag1 exposure patterns [lag0: RR (95% CI) (pollutants), 1.057(1.011, 1.103) (air quality index, AQI), 1.007 (1.005, 1.010) (particulate matter of diameter ≤ 2.5 μm, PM2.5), 1.009 (1.005, 1.012) (particulate matter of diameter, PM10), 1.010 (1.006, 1.014) (NO2), 1.030 (1.011, 1.048) (CO), 1.005 (1.002, 1.009) (O3); lag1:1.064(1.022, 1.106) (AQI), 1.005 (1.002, 1.008) (PM2.5), 1.007 (1.004, 1.011) (PM10), 1.008 (1.004, 1.012) (NO2), 1.025 (1.007, 1.042) (CO), 1.010 (1.006, 1.013) (O3)], except SO2 [lag0: RR (95% CI), 1.004 (1.000, 1.007); lag1: RR (95% CI), 1.003 (0.999, 1.006)]. Subgroup analyses revealed stronger effects in children and asthma exacerbations associated with other events (including symptoms, lung function changes, and medication use).Conclusion: Outdoor air pollution increases the asthma exacerbation risk in single lag0 and lag1 exposure patterns.Trial registration: PROSPERO, CRD42020204097. https://www.crd.york.ac.uk/.Supplemental data for this article is available online at https://doi.org/10.1080/02770903.2021.2008429 .
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Affiliation(s)
- Junjun Huang
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China
| | - Xiaoyu Yang
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China
| | - Fangfang Fan
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Yan Hu
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China
| | - Xi Wang
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China
| | - Sainan Zhu
- Department of Biostatistics, Peking University First Hospital, Beijing, China
| | - Guanhua Ren
- Department of Library, Peking University First Hospital, Beijing, China
| | - Guangfa Wang
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China
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20
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Yu Z, Ma Y, Zhang Y, Cheng B, Feng F, Ma B, Jiao H, Zhou J. A study on the short-term effect of particulate matter pollution on hospital visits for asthma in children in Shanghai, China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2021; 43:4123-4138. [PMID: 33774778 DOI: 10.1007/s10653-021-00888-0] [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: 01/01/2020] [Accepted: 03/13/2021] [Indexed: 06/12/2023]
Abstract
Recently, particulate matter pollution has been worsening, which has been affecting the asthma visits in children. In this study, we assessed the short-term effects of PM10 and PM2.5 on asthma visits in children in Shanghai, China from January 1, 2009 and December 31, 2010, using a generalized additive model. We controlled the confounding factors, such as long-term trends, week day effect, and weather elements. The lag effects of different age subgroups (≤ 2 yr, 3-5 yr, and 6-18 yr subgroups) were performed. The results showed significant effects of PM10 and PM2.5 on asthma visits in children, though the seasonal lags varied for the three age subgroups. In general, the effect of PM2.5 on asthma visits in children was stronger and more acute than that of PM10. PM2.5 showed the highest relative risk of 1.192 at lag 0 day in summer; and PM10 showed the highest relative risk of 1.073 at lag 3 day in autumn. Overall, particulate matter pollution showed a greater effect on relatively younger children. In particular, the ≤ 2 yr subgroup showed the highest seasonal relative risk of PM10. Especially, seasonal relative risk of PM10 in autumn for the ≤ 2 yr subgroup was much higher than that for the other two subgroups. The 3-5 yr and 6-18 yr subgroups showed the highest seasonal relative risk of PM2.5 in summer and winter, respectively. But the pediatric visits data we obtained cannot reflect the true prevalence of asthma and multiple visits. Thus, selection bias may exist in our analysis.
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Affiliation(s)
- Zhiang Yu
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yuxia Ma
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China.
| | - Yifan Zhang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Bowen Cheng
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Fengliu Feng
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Bingji Ma
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Haoran Jiao
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Ji Zhou
- Key Laboratory of Meteorology and Health in Shanghai, Shanghai, 200030, China
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21
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Shakerkhatibi M, Benis KZ, Asghari-Jafarabadi M, Sadeghi-Bazarghani H, Allahverdipour H, Oskouei DS, Fatehifar E, Farajzadeh M, Yadeghari A, Ansarin K, Jafari R, Zakeri A, Moshashaei P, Behnami A. Air pollution-related asthma profiles among children/adolescents: A multi-group latent class analysis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 219:112344. [PMID: 34023726 DOI: 10.1016/j.ecoenv.2021.112344] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 05/11/2021] [Accepted: 05/12/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND This study aimed to investigate the asthma profile among children/adolescents and the relationship of the prevalence of air pollution profiles using latent class analysis (LCA). OBJECTIVES In this cross-sectional study, a case rural community was selected in an industrial area, and two rural control communities were selected in unexposed areas. METHODS Hourly concentrations of PM10, SO2, NO2, and total volatile organic compounds were obtained from the records of a fixed air quality monitoring station, and the concentrations of benzene, toluene, xylenes styrene were measured during six campaigns. Asthma data was collected using the International Study of Asthma and Allergies in Childhood in 7-18 years old children/adolescents. The modeling was conducted using LCA. RESULTS A higher amount of air pollution indices were observed in the case than both control communities. LCA divided the participants into three clusters; "healthy" (92.8%), "moderate" (2.8%), and "severe" (4.4%). A higher probability of severe asthma (6.8%) was observed in the case than control communities (2.6% and 1.8%). Additionally, after adjusting for possible confounders, the odds of asthma was lower in the control communities than the case in both moderate and sever classes (Odds Ratios in the range of 0.135-0.697). CONCLUSIONS This study indicates asthma profiles of children/adolescents and the higher prevalence of severe class in the area, explaining the possible effect of air pollution.
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Affiliation(s)
- Mohammad Shakerkhatibi
- Health and Environment Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Khaled Zoroufchi Benis
- Department of Chemical and Biological Engineering, University of Saskatchewan, Saskatoon, SK, Canada
| | - Mohammad Asghari-Jafarabadi
- Center for the Development of Interdisciplinary Research in Islamic Sciences and Health Sciences, Tabriz University of Medical Sciences, Tabriz, Iran; Department of Statistics and Epidemiology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
| | | | - Hamid Allahverdipour
- Psychiatry and Behavioral Sciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Esmaeil Fatehifar
- Department of Chemical Engineering, Sahand University of Technology, Tabriz, Iran
| | - Masoumeh Farajzadeh
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Adeleh Yadeghari
- Department of Analytical Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran
| | - Khalil Ansarin
- Tuberculosis and Lung Disease Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Rozita Jafari
- National Public Health Management Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Akram Zakeri
- National Public Health Management Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Parisa Moshashaei
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Ali Behnami
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
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22
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AlBalawi SM, Namdeo A, Hodgson S, Pless-Mulloli T, McNally RJQ. Short-term effects of air pollution on daily asthma-related emergency department visits in an industrial city. J Public Health (Oxf) 2021; 43:e45-e53. [PMID: 32193561 DOI: 10.1093/pubmed/fdaa035] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Epidemiological studies from Europe and North America have provided evidence that exposure to air pollution can aggravate symptoms in asthmatic patients. METHODS Daily number of AEDv, air pollution levels (PM10, PM2.5, SO2, NO2 and CO) and meteorological variables was obtained from Jubail Industrial City, Saudi Arabia, for the period of 2007-11. Data were analyzed using a time-series approach. Relative risks (RRs) were estimated using Poisson regression. RESULTS The associations between AEDv and PM10, PM2.5, SO2 and NO2 remained positive and statistically significant after mutual adjustment in the multi-pollutant model.The RR of AEDv increased by 5.4, 4.4, 3.4 and 2.2% per an inter-quartile range increase in SO2 (2.0 ppb), PM2.5 (36 μg/m3), NO2 (7.6 ppb) and PM10 (140 μg/m3), respectively. No significant associations between AEDv and CO were found. CONCLUSIONS Current levels of ambient air pollution are associated with AEDv in this industrial setting in the Middle East. Greater awareness of environmental health protection and the implementation of effective measures to improve the quality of air in such settings would be beneficial to public health.
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Affiliation(s)
- Salem M AlBalawi
- Institute for Health and Society, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, Tyne & Wear NE2 4AA, UK
| | - Anil Namdeo
- Environmental Engineering Group, School of Engineering, Newcastle University, Newcastle upon Tyne, Tyne & Wear NE1 7RU, UK
| | - Susan Hodgson
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Tanja Pless-Mulloli
- Institute for Health and Society, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, Tyne & Wear NE2 4AA, UK
| | - Richard J Q McNally
- Institute for Health and Society, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, Tyne & Wear NE2 4AA, UK
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23
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Wang Y, Liu Z, Yang L, Zhou J, Li J, Liao HL, Tian XJ. Sepsis-related hospital admissions and ambient air pollution: a time series analysis in 6 Chinese cities. BMC Public Health 2021; 21:1182. [PMID: 34154551 PMCID: PMC8218442 DOI: 10.1186/s12889-021-11220-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 05/28/2021] [Indexed: 12/29/2022] Open
Abstract
Background Some prevalent but rarely studied causes of hospital admissions, such as sepsis is still unknown whether affected by air pollution. Methods We used time-series regression within generalized additive models to estimate the effect of air pollutant level on the sepsis-related hospital admissions, for the years 2017–18, using data from six cities in Sichuan, China. Potential effect modifications by age and sex were also explored. The effects of air pollutant on hospital stays for sepsis were also quantified. Results Positive associations between short-term exposure to NO2 and O3 and risk of sepsis-related hospital admissions and stays were found. Each 10 μg/m3 increase in short-term NO2 at lag 03 and O3 at lag 4 was associated with an increase of 2.76% (95% CI: 0.67, 4.84%) and 0.64% (95% CI: 0.14, 1.14%) hospital admissions, respectively. An increase of 0.72% (95% CI: 0.05, 1.40%) hospital stay was associated with 10 μg/m3 increase in O3 concentration at lag 4. Besides, the adverse effect of exposure to NO2 was more significant in males and population aged less than 14 years; while more significant in females and population aged 14 ~ 65 and over 65 years for exposure to O3. These associations remained stable after the adjustment of other air pollutants.8. Conclusion Exposure to ambient NO2 and O3 may cause substantial sepsis hospitalizations, and hospital stays in Sichuan, China. These associations were different in subgroup by age and sex. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-021-11220-x.
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Affiliation(s)
- Yu Wang
- Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Zhen Liu
- Second Affiliated Hospital of Chengdu Medical College, China National Nuclear Corporation 416 Hospital, Chengdu, 610057, China
| | - Lian Yang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China.
| | - Jiushun Zhou
- Sichuan Center for Disease Control and Prevention, Chengdu, 610041, China.
| | - Jia Li
- Management College, Chengdu University of Traditional Chinese Medicine, Chengdu, 610032, China
| | - Hai Lun Liao
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China
| | - Xing Jun Tian
- Sichuan Administration of TCM, Chengdu, 610016, China
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24
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Willis M, Hystad P, Denham A, Hill E. Natural gas development, flaring practices and paediatric asthma hospitalizations in Texas. Int J Epidemiol 2021; 49:1883-1896. [PMID: 32879945 DOI: 10.1093/ije/dyaa115] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/01/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Recent advancements in drilling technology led to a rapid increase in natural gas development (NGD). Air pollution may be elevated in these areas and may vary by drilling type (conventional and unconventional), production volume and gas flaring. Impacts of NGD on paediatric asthma are largely unknown. This study quantifies associations between specific NGD activities and paediatric asthma hospitalizations in Texas. METHODS We leveraged a database of Texas inpatient hospitalizations between 2000 and 2010 at the zip code level by quarter to examine associations between NGD and paediatric asthma hospitalizations, where our primary outcome is 0 vs ≥1 hospitalization. We used quarterly production reports to assess additional drilling-specific exposures at the zip code-level including drilling type, production and gas flaring. We developed logistic regression models to assess paediatric asthma hospitalizations by zip code-quarter-year observations, thus capturing spatiotemporal exposure patterns. RESULTS We observed increased odds of ≥1 paediatric asthma hospitalization in a zip code per quarter associated with increasing tertiles of NGD exposure and show that spatiotemporal variation impacts results. Conventional drilling, compared with no drilling, is associated with odds ratios up to 1.23 [95% confidence interval (CI): 1.13, 1.34], whereas unconventional drilling is associated with odds ratios up to 1.59 (95% CI: 1.46, 1.73). Increasing production volumes are associated with increased paediatric asthma hospitalizations in an exposure-response relationship, whereas associations with flaring volumes are inconsistent. CONCLUSIONS We found evidence of associations between paediatric asthma hospitalizations and NGD, regardless of drilling type. Practices related to production volume may be driving these positive associations.
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Affiliation(s)
- Mary Willis
- School of Biological & Population Health, College of Public Health & Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Perry Hystad
- School of Biological & Population Health, College of Public Health & Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Alina Denham
- Department of Public Health Sciences, School of Medicine & Dentistry, University of Rochester, Rochester, NY, USA
| | - Elaine Hill
- School of Biological & Population Health, College of Public Health & Human Sciences, Oregon State University, Corvallis, OR, USA.,Department of Public Health Sciences, School of Medicine & Dentistry, University of Rochester, Rochester, NY, USA
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25
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Zhang F, Zhang H, Wu C, Zhang M, Feng H, Li D, Zhu W. Acute effects of ambient air pollution on clinic visits of college students for upper respiratory tract infection in Wuhan, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:29820-29830. [PMID: 33566291 DOI: 10.1007/s11356-021-12828-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 02/02/2021] [Indexed: 06/12/2023]
Abstract
Ambient air pollutants have been linked to adverse health outcomes, but evidence is still relatively rare in college students. Upper respiratory tract infection (URTI) is a common disease of respiratory system among college students. In this study, we assess the acute effect of air pollution on clinic visits of college students for URTI in Wuhan, China. Data on clinic visits due to URTI were collected from Wuhan University Hospital, meteorological factors (including daily temperature and relative humidity) provided by Wuhan Meteorological Bureau, and air pollutants by Wuhan Environmental Protection Bureau. In the present study, generalized additive model with a quasi-Poisson distribution link function was used to examine the association between ambient air pollutants (fine particulate matter (PM2.5), particulate matter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3)) and the daily number of clinic visits of college students for URTI at Wuhan University Hospital in Wuhan, China. In the meantime, the model was adjusted for the confounding effects of long-term trends, seasonality, day of the week, public holidays, vacation, and meteorological factors. The best degrees of free in model were selected based on AIC (Akaike Information Criteria). The effect modification by gender was also examined. A total of 44,499 cases with principal diagnosis of URTI were included from January 1, 2016, to December 31, 2018. In single-pollutant models, the largest increment of URTI visits were found at lag 0 day in single-day lags, and the effect values in cumulative lags were greater than those in single-day lags. PM2.5 (0.74% (95%CI: 0.05, 1.44)) at lag 0 day, PM10 (0.61% (95%CI: 0.12, 1.11)) and O3 (1.01% (95%CI: 0.24, 1.79)) at lag 0-1 days, and SO2 (9.18% (95%CI: 3.27, 15.42)) and NO2 (3.40% (95% CI:1.64, 5.19)) at lag 0-3 days were observed to be strongly and significantly associated with clinic visits for URTI. PM10 and NO2 were almost still significantly associated with URTI after controlling for the other pollutants in our two-pollutant models, where the effect value of SO2 after inclusion of O3 appeared to be the largest and the effects of NO2 were also obvious compared with the other pollutants. Subgroups analysis demonstrated that males were more vulnerable to PM10 and O3, while females seemed more vulnerable to exposure to SO2 and NO2. This study implied that short-term exposure to ambient air pollution was associated with increased risk of URTI among college students at Wuhan University Hospital in Wuhan, China. And gaseous pollutants had more negative health impact than solid pollutants. SO2 and NO2 were the major air pollutants affecting the daily number of clinic visits on URTI, to which females seemed more vulnerable than males.
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Affiliation(s)
- Faxue Zhang
- Department of Occupational and Environmental Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China
| | - Han Zhang
- Department of Occupational and Environmental Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China
| | - Chuangxin Wu
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China
| | - Miaoxuan Zhang
- Hospital of Wuhan University, Wuhan, 430072, Hubei, China
| | - Huan Feng
- Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan, 430071, China
| | - Dejia Li
- Department of Occupational and Environmental Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China.
| | - Wei Zhu
- Department of Occupational and Environmental Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China.
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26
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Zheng XY, Orellano P, Lin HL, Jiang M, Guan WJ. Short-term exposure to ozone, nitrogen dioxide, and sulphur dioxide and emergency department visits and hospital admissions due to asthma: A systematic review and meta-analysis. ENVIRONMENT INTERNATIONAL 2021; 150:106435. [PMID: 33601224 DOI: 10.1016/j.envint.2021.106435] [Citation(s) in RCA: 77] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 01/21/2021] [Accepted: 01/29/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Air pollution is a major environmental hazard to human health and a leading cause of morbidity for asthma worldwide. OBJECTIVES To assess the current evidence on short-term effects (from several hours to 7 days) of exposure to ozone (O3), nitrogen dioxide (NO2), and sulphur dioxide (SO2) on asthma exacerbations, defined as emergency room visits (ERVs) and hospital admissions (HAs). METHODS We searched PubMed/MEDLINE, EMBASE and other electronic databases to retrieve studies that investigated the risk of asthma-related ERVs and HAs associated with short-term exposure to O3, NO2, or SO2. We evaluated the risks of bias (RoB) for individual studies and the certainty of evidence for each pollutant in the overall analysis. A subgroup analysis was performed, stratified by sex, age, and type of asthma exacerbation. We conducted sensitivity analysis by excluding the studies with high RoB and based on the E-value. Publication bias was examined with the Egger's test and with funnel plots. RESULTS Our literature search retrieved 9,059 articles, and finally 67 studies were included, from which 48 studies included the data on children, 21 on adults, 14 on the elderly, and 31 on the general population. Forty-three studies included data on asthma ERVs, and 25 on asthma HAs. The pooled relative risk (RR) per 10 µg/m3 increase of ambient concentrations was 1.008 (95%CI: 1.005, 1.011) for maximum 8-hour daily or average 24-hour O3, 1.014 (95%CI: 1.008, 1.020) for average 24-hour NO2, 1.010 (95%CI: 1.001, 1.020) for 24-hour SO2, 1.017 (95%CI: 0.973, 1.063) for maximum 1-hour daily O3, 0.999 (95%CI: 0.966, 1.033) for 1-hour NO2, and 1.003 (95%CI: 0.992, 1.014) for 1-hour SO2. Heterogeneity was observed in all pollutants except for 8-hour or 24-hour O3 and 24-hour NO2. In general, we found no significant differences between subgroups that can explain this heterogeneity. Sensitivity analysis based on the RoB showed certain differences in NO2 and SO2 when considering the outcome or confounding domains, but the analysis using the E-value showed that no unmeasured confounders were expected. There was no major evidence of publication bias. Based on the adaptation of the Grading of Recommendations Assessment, Development and Evaluation, the certainty of evidence was high for 8-hour or 24-hour O3 and 24-hour NO2, moderate for 24-hour SO2, 1-hour O3, and 1-hour SO2, and low for 1-hour NO2. CONCLUSION Short-term exposure to daily O3, NO2, and SO2 was associated with an increased risk of asthma exacerbation in terms of asthma-associated ERVs and HAs.
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Affiliation(s)
- Xue-Yan Zheng
- Institute of Non-communicable Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangdong, China
| | - Pablo Orellano
- Centro de Investigaciones y Transferencia San Nicolás, Universidad Tecnológica Nacional (CONICET), San Nicolás, Argentina
| | | | - Mei Jiang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Wei-Jie Guan
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.
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27
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Ghennam K, Attou F, Abdoun F. Impact of atmospheric pollution on asthma and bronchitis based on lichen biomonitoring using IAP, IHI and GIS in Algiers Bay (Algeria). ENVIRONMENTAL MONITORING AND ASSESSMENT 2021; 193:198. [PMID: 33730196 PMCID: PMC7970775 DOI: 10.1007/s10661-021-08965-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 02/23/2021] [Indexed: 06/12/2023]
Abstract
We investigated the association between air pollution and asthma and bronchitis hospital admissions in Algiers city (Algeria). In addition, we used geographic information systems (GIS) and statistical methods to evaluate their correlation with the atmospheric pollution estimated by the lichen biomonitoring method of the index of atmospheric purity (IAP), the index of human impact (IHI) and environmental parameters. Thus, we georeferenced 976 local patients (including 771 patients with asthma and 205 patients with bronchitis). Then, we compared the patients to the spatial distribution of IAP in thirty-five areas (communities). The results revealed a significant difference in the mean spatial variation in the diseases among those areas. In fact, maps and generalized linear models (GLMs) revealed a significant negative correlation between IAP and diseases. Therefore, redundancy analysis (RDA) and Monte Carlo tests described a significant effect of IAP, urbanization and the number of roads on the distribution of diseases. We hope our findings contribute to enriching the literature on health research with a low-cost method of monitoring outdoor air pollution.
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Affiliation(s)
- Kamel Ghennam
- Faculty of Sciences, Department of Biology, University YAHIA FARES, Medea, Algeria.
- Department of Ecology, Faculty of Biologic Sciences (FSB), Vegetal Ecology and Environment Laboratory, U.S.T.H.B, BP32, 16000, Algiers, El Alia, Algeria.
| | - Fouzia Attou
- Department of Ecology, Faculty of Biologic Sciences (FSB), Dynamic and Biodiversity Laboratory, U.S.T.H.B, BP32, 16000, Algiers, El Alia, Algeria
| | - Fatiha Abdoun
- Department of Ecology, Faculty of Biologic Sciences (FSB), Vegetal Ecology and Environment Laboratory, U.S.T.H.B, BP32, 16000, Algiers, El Alia, Algeria
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28
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Liu L, Liu C, Chen R, Zhou Y, Meng X, Hong J, Cao L, Lu Y, Dong X, Xia M, Ding B, Qian L, Wang L, Zhou W, Gui Y, Zhang X. Associations of short-term exposure to air pollution and emergency department visits for pediatric asthma in Shanghai, China. CHEMOSPHERE 2021; 263:127856. [PMID: 32822929 DOI: 10.1016/j.chemosphere.2020.127856] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 06/13/2020] [Accepted: 07/27/2020] [Indexed: 05/08/2023]
Abstract
There is limited evidence regarding the relationship between air pollution and pediatric asthma in developing countries. This study aimed to investigate the association between short-term exposure to ambient air pollutants and pediatric asthma emergency department (ED) visits in Shanghai, China. We collected data on six criteria air pollutants (PM2.5, PM10, NO2, SO2, CO, and O3) and daily ED visits for pediatric asthma patients from 66 hospitals in Shanghai from 2016 to 2018. The generalized additive model combined with polynomial distributed lag model was applied to explore the associations. We fitted two-pollutant models and stratified the analyses by sex, age, and season. In total, we identified 108,817 emergency department visits for pediatric asthma. A 10 μg/m3 increase in the concentrations of PM2.5, NO2, SO2, and O3 was significantly associated with increased risks of pediatric asthma ED visits, with relative risk of pediatric asthma of 1.011 [95% confidence interval (CI): 1.002, 1.021], 1.030 (95%CI: 1.017, 1.043), 1.106 (95%CI: 1.041, 1.174), and 1.009 (95%CI: 1.001, 1.017), respectively. The associations of NO2 remained robust in the two-pollutant models. There were stronger associations for older children (6-18 years) and in warm seasons. The concentration-response curves for pediatric asthma and PM2.5, NO2, SO2, and O3 were steeper at lower and moderate concentrations but became flatter at higher concentrations. This analysis provided evidence that short-term exposure to air pollutants (PM2.5, NO2, SO2, and O3) could increase the risk of asthma exacerbations among children, and health benefits would be gained from improved air quality.
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Affiliation(s)
- Lijuan Liu
- Department of Respiratory Medicine, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Yufeng Zhou
- Institute of Pediatrics, Children's Hospital of Fudan University, Shanghai, 201102, China; Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Jianguo Hong
- Department of Pediatrics, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai, 200080, China
| | - Lanfang Cao
- Department of Pediatrics, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Yanming Lu
- Department of Pediatrics, South Campus, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 201112, China
| | - Xiaoyan Dong
- Department of Respiratory Medicine, Children's Hospital of Shanghai Jiaotong University, Shanghai, 200040, China
| | - Min Xia
- Department of Pediatrics, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Bo Ding
- Department of Pediatrics, South Campus, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 201112, China
| | - Liling Qian
- Department of Respiratory Medicine, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Libo Wang
- Department of Respiratory Medicine, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Wenhao Zhou
- Department of Neonatology, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Yonghao Gui
- Cardiovascular Center, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Xiaobo Zhang
- Department of Respiratory Medicine, Children's Hospital of Fudan University, Shanghai, 201102, China.
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Agustian D, Rachmi CN, Indraswari N, Molter A, Carder M, Rinawan FR, van Tongeren M, Driejana D. Feasibility of Indonesia Family Life Survey Wave 5 (IFLS5) Data for Air Pollution Exposure-Response Study in Indonesia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17249508. [PMID: 33353139 PMCID: PMC7766249 DOI: 10.3390/ijerph17249508] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 12/09/2020] [Accepted: 12/16/2020] [Indexed: 11/24/2022]
Abstract
Background: Air pollution is an important risk factor for the disease burden; however there is limited evidence in Indonesia on the effect of air pollution on health, due to lack of exposure and health outcome data. The objective of this study is to evaluate the potential use of the IFLS data for response part of urban-scale air pollution exposure–health response studies. Methods: Relevant variables were extracted based on IFLS5 documentation review. Analysis of the spatial distribution of respondent, data completeness, prevalence of relevant health outcomes, and consistency or agreement evaluation between similar variables were performed. Power for ideal sample size was estimated. Results: There were 58,304 respondents across 23 provinces, with the highest density in Jakarta (750/district). Among chronic conditions, hypertension had the highest prevalence (15–25%) with data completeness of 79–83%. Consistency among self-reported health outcome variables was 90–99%, while that with objective measurements was 42–70%. The estimated statistical power for studying air pollution effect on hypertension (prevalence = 17%) in Jakarta was approximately 0.6 (α = 0.1). Conclusions: IFLS5 data has potential use for epidemiological study of air pollution and health outcomes such as hypertension, to be coupled with high quality urban-scale air pollution exposure estimates, particularly in Jakarta.
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Affiliation(s)
- Dwi Agustian
- Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Jalan Eyckman No. 38, Bandung 40151, Indonesia; (C.N.R.); (N.I.); (F.R.R.)
- Correspondence: (D.A.); (D.D.); Tel.: +62-811-242-1200 (D.A.); +62-811-2201735 (D.D.)
| | - Cut Novianti Rachmi
- Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Jalan Eyckman No. 38, Bandung 40151, Indonesia; (C.N.R.); (N.I.); (F.R.R.)
| | - Noormarina Indraswari
- Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Jalan Eyckman No. 38, Bandung 40151, Indonesia; (C.N.R.); (N.I.); (F.R.R.)
| | - Anna Molter
- Centre for Occupational and Environmental Health, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester M13 9PL, UK; (A.M.); (M.C.)
- Department of Geography, School of Environment, Education and Development, Faculty of Humanities, The University of Manchester, Oxford Road, Manchester M13 9PL, UK
- Spatial Dynamics Lab, School of Architecture, Planning and Environmental Policy, University College Dublin, Richview, D14 E099 Dublin, Ireland
| | - Melanie Carder
- Centre for Occupational and Environmental Health, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester M13 9PL, UK; (A.M.); (M.C.)
| | - Fedri Ruluwedrata Rinawan
- Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Jalan Eyckman No. 38, Bandung 40151, Indonesia; (C.N.R.); (N.I.); (F.R.R.)
| | - Martie van Tongeren
- Centre for Epidemiology, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester M13 9PL, UK;
| | - Driejana Driejana
- Air and Waste Management Research Group, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung. Jalan Ganesha No. 10, Bandung 40132, Indonesia
- Correspondence: (D.A.); (D.D.); Tel.: +62-811-242-1200 (D.A.); +62-811-2201735 (D.D.)
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Ma R, Liang L, Kong Y, Chen M, Zhai S, Song H, Hou Y, Zhang G. Spatiotemporal variations of asthma admission rates and their relationship with environmental factors in Guangxi, China. BMJ Open 2020; 10:e038117. [PMID: 33033020 PMCID: PMC7542934 DOI: 10.1136/bmjopen-2020-038117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 08/13/2020] [Accepted: 08/21/2020] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVE The study aimed to determine if and how environmental factors correlated with asthma admission rates in geographically different parts of Guangxi province in China. SETTING Guangxi, China. PARTICIPANTS This study was done among 7804 asthma patients. PRIMARY AND SECONDARY OUTCOME MEASURES Spearman correlation coefficient was used to estimate correlation between environmental factors and asthma hospitalisation rates in multiple regions. Generalised additive model (GAM) with Poisson regression was used to estimate effects of environmental factors on asthma hospitalisation rates in 14 regions of Guangxi. RESULTS The strongest effect of carbon monoxide (CO) was found on lag1 in Hechi, and every 10 µg/m3 increase of CO caused an increase of 25.6% in asthma hospitalisation rate (RR 1.26, 95% CI 1.02 to 1.55). According to the correlation analysis, asthma hospitalisations were related to the daily temperature, daily range of temperature, CO, nitrogen dioxide (NO2) and particulate matter (PM2.5) in multiple regions. According to the result of GAM, the adjusted R2 was high in Beihai and Nanning, with values of 0.29 and 0.21, which means that environmental factors are powerful in explaining changes of asthma hospitalisation rates in Beihai and Nanning. CONCLUSION Asthma hospitalisation rate was significantly and more strongly associated with CO than with NO2, SO2 or PM2.5 in Guangxi. The risk factors of asthma exacerbations were not consistent in different regions, indicating that targeted measures should differ between regions.
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Affiliation(s)
- Rui Ma
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng, China
| | - Lizhong Liang
- The Affiliated Hospital, Guangdong Medical University, Zhanjiang, China
| | - Yunfeng Kong
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng, China
| | - Mingyang Chen
- The Affiliated Hospital, Guangdong Medical University, Zhanjiang, China
| | - Shiyan Zhai
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng, China
| | - Hongquan Song
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng, China
| | - Yane Hou
- College of Computer and Information Engineering, Henan University, Kaifeng, China
| | - Guangli Zhang
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng, China
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Liu W, Huang C, Cai J, Fu Q, Zou Z, Sun C, Zhang J. Prenatal and postnatal exposures to ambient air pollutants associated with allergies and airway diseases in childhood: A retrospective observational study. ENVIRONMENT INTERNATIONAL 2020; 142:105853. [PMID: 32585502 DOI: 10.1016/j.envint.2020.105853] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2019] [Revised: 05/24/2020] [Accepted: 06/01/2020] [Indexed: 06/11/2023]
Abstract
It's inconsistent about associations of early exposures to outdoor air pollutants with allergies and airway diseases in childhood. Here, we investigated associations of prenatal and postnatal exposures to outdoor nitrogen dioxide (NO2), sulphur dioxide (SO2), and PM10 (particulate matter with an aerodynamic diameter ≤ 10 μm) with asthma, wheeze, hay fever, rhinitis, pneumonia, and eczema in childhood. We surveyed 3,177 preschoolers who never change residences since birth in Shanghai, China. Parents reported information regarding children's health status. Daily-averaged concentrations of these pollutants in the children's gestation and in the first year of lifetime for district where children lived were collected by Shanghai Environmental Monitoring Center. After adjusting for covariates, exposures to higher level of NO2 during different trimesters of gestation and of the first year of lifetime had significant associations with the increased odds of asthma, hay fever, rhinitis, pneumonia, and eczema in childhood. Associations of NO2 exposures in the early trimesters of gestation and of the first year of lifetime with pneumonia were stronger than in the later trimesters, whereas associations of NO2 exposures in the early trimesters with hay fever and eczema were weaker than in the later trimesters. Our results indicated that prenatal and postnatal exposures to outdoor NO2 could be risk factors for allergies and airway diseases in childhood. Both dose and duration were related with the influence degree of early NO2 exposure on childhood allergies and airway diseases.
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Affiliation(s)
- Wei Liu
- Institute for Health and Environment, Chongqing University of Science and Technology, Chongqing, China
| | - Chen Huang
- Department of Building Environment and Energy Engineering, School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China.
| | - Jiao Cai
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing, China
| | - Qingyan Fu
- Shanghai Environmental Monitoring Center, Shanghai, China
| | - Zhijun Zou
- Department of Building Environment and Energy Engineering, School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Chanjuan Sun
- Department of Building Environment and Energy Engineering, School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Jialing Zhang
- Department of Building Environment and Energy Engineering, School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
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Liu W, Cai J, Fu Q, Zou Z, Sun C, Zhang J, Huang C. Associations of ambient air pollutants with airway and allergic symptoms in 13,335 preschoolers in Shanghai, China. CHEMOSPHERE 2020; 252:126600. [PMID: 32234631 DOI: 10.1016/j.chemosphere.2020.126600] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Revised: 03/14/2020] [Accepted: 03/22/2020] [Indexed: 06/11/2023]
Abstract
Findings are inconsistent in studies for impacts of outdoor air pollutants on airway health in childhood. In this paper, we collected data regarding airway and allergic symptoms in the past year before a survey in 13,335 preschoolers from a cross-sectional study. Daily averaged concentrations of ambient sulphur dioxide (SO2), nitrogen dioxide (NO2), and particulate matter with an aerodynamic diameter ≤10 μm (PM10) in the past year before the survey were collected in the kindergarten-located district. We investigated associations of 12-month average concentrations of these pollutants with childhood airway and allergic symptoms. In the two-level (district-child) logistic regression analyses, exposure to higher level of NO2 and of PM10 increased odds of wheeze symptoms (adjusted OR, 95%CI: 1.03, 1.01-1.05 for per 3.0 μg/m3 increase in NO2; 1.22, 1.09-1.39 for per 7.6 μg/m3 increase in PM10), wheeze with a cold (1.03, 1.01-1.06; 1.22, 1.08-1.39), dry cough during night (1.05, 1.03-1.08; 1.23, 1.09-1.40), rhinitis symptoms (1.11, 1.08-1.13; 1.32, 1.07-1.63), rhinitis on pet (1.11, 1.05-1.18; 1.37, 0.95-1.98) and pollen (1.12, 1.03-1.21; 1.23, 0.84-1.82) exposure, eczema symptoms (1.09, 1.05-1.12; 1.22, 0.98-1.52), and lack of sleep due to eczema (1.12, 1.07-1.18; 1.58, 1.25-1.98). Exposures to NO2 and PM10 were also significantly and positively associated with the accumulative score of airway symptoms. Similar positive associations were found of NO2 and of PM10 with the individual symptoms and symptom scores among preschoolers from different kindergarten-located district. These results indicate that ambient NO2 and PM10 likely are risk factors for airway and allergic symptoms in childhood in Shanghai, China.
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Affiliation(s)
- Wei Liu
- Institute for Health and Environment, Chongqing University of Science and Technology, Chongqing, China; School of Civil Engineering and Architecture, Chongqing University of Science and Technology, Chongqing, China
| | - Jiao Cai
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing, China
| | - Qingyan Fu
- Shanghai Environmental Monitoring Center, Shanghai, China
| | - Zhijun Zou
- Department of Building Environment and Energy Engineering, School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Chanjuan Sun
- Department of Building Environment and Energy Engineering, School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Jialing Zhang
- Department of Building Environment and Energy Engineering, School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Chen Huang
- Department of Building Environment and Energy Engineering, School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China.
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Almetwally AA, Bin-Jumah M, Allam AA. Ambient air pollution and its influence on human health and welfare: an overview. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:24815-24830. [PMID: 32363462 DOI: 10.1007/s11356-020-09042-2] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 04/23/2020] [Indexed: 05/22/2023]
Abstract
Human health is closely related to his environment. The influence of exposure to air pollutants on human health and well-being has been an interesting subject and gained much volume of research over the last 50 years. In general, polluted air is considered one of the major factors leading to many diseases such as cardiovascular and respiratory disease and lung cancer for the people. Besides, air pollution adversely affects the animals and deteriorates the plant environment. The overarching objective of this review is to explore the previous researches regarding the causes and sources of air pollution, how to control it and its detrimental effects on human health. The definition of air pollution and its sources were introduced extensively. Major air pollutants and their noxious effects were detailed. Detrimental impacts of air pollution on human health and well-being were also presented.
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Affiliation(s)
- Alsaid Ahmed Almetwally
- Textile Engineering Department, Textile Research Division, National Research Centre, Dokki, Cairo, Egypt.
| | - May Bin-Jumah
- Biology Department, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Ahmed A Allam
- Department of Zoology, Faculty of Science, Beni-Suef University, Beni-Suef, 65211, Egypt
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Bergmann S, Li B, Pilot E, Chen R, Wang B, Yang J. Effect modification of the short-term effects of air pollution on morbidity by season: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 716:136985. [PMID: 32044481 DOI: 10.1016/j.scitotenv.2020.136985] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Revised: 01/15/2020] [Accepted: 01/27/2020] [Indexed: 06/10/2023]
Abstract
Studies of the health effects of air pollution have traditionally controlled for ambient temperature as a confounder, and vice versa. However, season might be an important factor contributing to adverse health effects of air pollution. Given the current inconsistencies in results of previous studies on the effect modification of air pollution on morbidity by season, a systematic review and meta-analysis was conducted to synthesize the current evidence on effects of season on air pollution and morbidity. The electronic databases including PubMed, Web of Science, Embase, CNKI, and Wanfang were used to identify papers published up to the 30st of November in 2019. We identified 4284 articles, after screening, eighty papers met the inclusion criteria. Significant effect modification of CO, O3, SO2 and NO2 on morbidity by season was observed, with corresponding ratio of relative risk of 1.0009 (95% CI: 1.0001-1.0018), 1.0080 (95% CI: 1.0021-1.0138), 0.9828 (95% CI: 0.9697-0.9962) and 0.9896 (95% CI: 0.9824-0.9968), respectively. Season significantly modified the effect of CO on pneumonia, the effect of SO2 on cardiovascular disease, the effect of PM10 on stroke, and the effect of O3 on stroke, asthma and pneumonia. The effect modifications of air pollution by season were similar among males and females, while the effect estimates seem to be higher among children under 18 years old and the elderly aged 75 or over. Further research is needed to better understand the mechanisms underlying the seasonal variance of the effect of air pollutants on morbidity.
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Affiliation(s)
- Stéphanie Bergmann
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Bixia Li
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China
| | - Eva Pilot
- Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Renchao Chen
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China
| | - Boguang Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
| | - Jun Yang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China.
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Regional Variation of Hospitalization Rates for Asthma in Korea: Association with Ambient Carbon Monoxide and Health Care Supply. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17041244. [PMID: 32075169 PMCID: PMC7068567 DOI: 10.3390/ijerph17041244] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 02/03/2020] [Accepted: 02/11/2020] [Indexed: 11/16/2022]
Abstract
This study was performed to investigate the relationship between the hospitalization rate for asthma and the ambient carbon monoxide (CO) by examining regional variation of the hospitalization rates for asthma in Korea and its factors. The hospital inpatient claims for asthma were acquired from the National Health Insurance database in 2015. A multivariate linear regression was performed with the hospitalization rate for asthma as a dependent variable. The annual ambient concentration of CO showed a negative association with the hospitalization rates for asthma while that of sulfur dioxide showed a positive association. The number of primary care physicians showed a negative association with the hospitalization rates for asthma while the number of beds in hospitals with less than 300 beds showed a positive association. The negative association of the ambient concentration of CO with the hospitalization rates for asthma showed results upon further investigation.
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Yao C, Wang Y, Williams C, Xu C, Kartsonaki C, Lin Y, Zhang P, Yin P, Lam KBH. The association between high particulate matter pollution and daily cause-specific hospital admissions: a time-series study in Yichang, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:5240-5250. [PMID: 31848968 DOI: 10.1007/s11356-019-06734-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 10/10/2019] [Indexed: 06/10/2023]
Abstract
Particulate matter (PM) air pollution is one of the major causes of morbidity and mortality in China. In this study, we estimated the short-term effects of PM on cause-specific hospitalization in Yichang, China. Daily data for PM level, meteorological factors, and hospital admissions (total hospitalization counts = 391,960) in Yichang between 2015 and 2017 were collected. We conducted a time-series study and applied a generalized additive model to evaluate the association between every 10 μg/m3 increment of PM and percent increase of hospitalization. We found positive and statistically significant associations between PM and hospital admissions for multiple outcomes, including all-cause, total respiratory, total cardiovascular diseases, and disease subcategories (hypertensive disease, coronary heart disease, stroke and the stroke subtype, chronic obstructive pulmonary disease, and lower respiratory infection). Each 10 μg/m3 increase in PM2.5 at Lag01 (a moving average of Lag0 to Lag1), was significantly associated with an increase of 1.31% (95% CI: 0.79%, 1.83%), 1.12% (95% CI: 0.40%, 1.84%), and 1.14% (95% CI: 0.53%, 1.75%) in hospitalizations for all-cause, CVD, and respiratory, respectively. The association for PM10 with all-cause, CVD, and respiratory admissions was similar but weaker than PM2.5. The effect on admissions persisted for up to 7 days, and peaked at Lag01. The associations between PM and all-cause hospitalizations were stronger among older individuals and in cold seasons. It is therefore important to continue implementation of emission abatement and other effective measures in Yichang and other cities in China.
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Affiliation(s)
- Chengye Yao
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yu Wang
- Department of Anesthesiology, Institute of Anesthesia and Critical Care, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1277, Jiefang Avenue, Wuhan, 430022, China
| | | | - Chengzhong Xu
- Yichang Center for Disease Control and Prevention, 3 Dalian Road, Yichang, 443000, China
| | - Christiana Kartsonaki
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Yun Lin
- Department of Anesthesiology, Institute of Anesthesia and Critical Care, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1277, Jiefang Avenue, Wuhan, 430022, China.
| | - Pei Zhang
- Yichang Center for Disease Control and Prevention, 3 Dalian Road, Yichang, 443000, China.
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
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Lu P, Zhang Y, Lin J, Xia G, Zhang W, Knibbs LD, Morgan GG, Jalaludin B, Marks G, Abramson M, Li S, Guo Y. Multi-city study on air pollution and hospital outpatient visits for asthma in China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 257:113638. [PMID: 31812526 DOI: 10.1016/j.envpol.2019.113638] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Revised: 11/11/2019] [Accepted: 11/16/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND The proportion of asthma patients with mild to moderate exacerbations is far greater than the number who experience episodes that are severe enough to require emergency room visits or hospital admission. However the routinely collected data from hospitals is absent in the past. OBJECTIVE To evaluate associations between short-term exposures to air pollutants and hospital outpatient visits for asthma in China. METHODS We obtained data for 143,057 asthma outpatient visits from the largest hospitals in 17 Chinese cities, between Jan 01 2013 and Dec 31 2015. We used daily concentrations of air pollutants measured by the China National Environmental Monitoring Centre. We used a time-stratified case-crossover design, and fitted conditional logistic regression models to determine the associations. RESULTS Particulate matter ≤10μm in diameter (PM10) and nitrogen dioxide (NO2) were associated with increased risks of hospital outpatient visits for asthma on the same day, while the effects were delayed for particulate matter ≤2.5μm in diameter (PM2.5) and sulphur dioxide (SO2). For the cumulative effect model at lag05 days, 10 μg/m3 increase in air pollutants concentrations were correlated with hospital outpatient visits for asthma with odds ratios (ORs) and 95% confidence intervals 1.004 (1.000-1.008) for PM2.5, 1.005 (1.002-1.008) for PM10, 1.030 (1.021-1.040) for NO2, and 1.015 (1.008-1.021) for SO2. Almost one in nine (10.9%; 7.7, 13.9%) hospital outpatient visits for asthma were attributable to NO2. CONCLUSION Short-term exposures to PM2.5, PM10, NO2 and SO2 were associated with hospital outpatient visits for asthma in China.
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Affiliation(s)
- Peng Lu
- Department of Epidemiology, School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Yongming Zhang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Jiangtao Lin
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Beijing, China.
| | - Guoxin Xia
- School of Medicine, Binzhou Medical University, Yantai, Shandong, China
| | - Wenyi Zhang
- Center for Disease Surveillance and Research, Institute for Disease Control and Prevention of Chinese People's Liberation Army, Beijing, China
| | - Luke D Knibbs
- School of Public Health, University of Queensland, Brisbane, Queensland, Australia
| | - Geoffrey G Morgan
- School of Public Health, University Centre for Rural Health, University of Sydney, Sydney, New South Wales, Australia
| | - Bin Jalaludin
- School of Public Health and Community Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Guy Marks
- South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Michael Abramson
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
| | - Yuming Guo
- Department of Epidemiology, School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
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Yuan L, Zhang Y, Wang W, Chen R, Liu Y, Liu C, Kan H, Gao Y, Tian Y. Critical windows for maternal fine particulate matter exposure and adverse birth outcomes: The Shanghai birth cohort study. CHEMOSPHERE 2020; 240:124904. [PMID: 31550593 DOI: 10.1016/j.chemosphere.2019.124904] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 09/02/2019] [Accepted: 09/17/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Prenatal exposure to ambient levels of air pollution has been reported to adversely affect birth outcomes, yet few studies have investigated refined susceptible windows for adverse birth outcomes. OBJECTIVES The study aimed at estimating associations between maternal exposure to ambient fine particulate matter (PM2.5; particles with an aerodynamic diameter ≤ 2.5 μm) and birth outcomes, including birth weight, low birth weight (LBW) and preterm birth (PTB), and identify specific susceptible windows. METHODS A total of 3692 singleton live births were enrolled between 2013 and 2016 in Shanghai Birth Cohort, China. Based on mothers' residential addresses, weekly mean concentrations of PM2.5 over gestation were estimated based on an incorporated evaluating approach combining satellite-based estimates and ground-level measurements. Distributed lag non-liner models (DLNMs) were fitted by incorporating with multiple liner models and Cox proportional hazard models to evaluate weekly-as well as trimester-exposure-lag-response associations between average PM2.5 level and birth weight, LBW and PTB, and to identify critical windows. RESULTS In this study, gestational exposure to PM2.5 was associated with adverse birth outcomes in infants, and critical windows were identified as 31st-34th gestational weeks for reduced birth weight, 38th-42 nd weeks for LBW and 27th-30th weeks for PTB, respectively. Trimester-specific associations were found for all birth outcomes during the third trimester. CONCLUSIONS Ambient PM2.5 exposure exhibited adverse impacts on multiple outcomes including reduced birth weight, LBW and PTB in the late pregnancy. The study provides further evidence supporting harmful effects of maternal PM2.5 exposure on birth outcomes and identifying critical windows.
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Affiliation(s)
- Lei Yuan
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Zhang
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weidong Wang
- Department of Environmental Health, School of Public Health, Fudan University School of Medicine, Shanghai, China
| | - Renjie Chen
- Department of Environmental Health, School of Public Health, Fudan University School of Medicine, Shanghai, China
| | - Yang Liu
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Cong Liu
- Department of Environmental Health, School of Public Health, Fudan University School of Medicine, Shanghai, China
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, Fudan University School of Medicine, Shanghai, China.
| | - Yu Gao
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Ying Tian
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE and Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Zhang W, Xiang Y, Lu C, Ou C, Deng Q. Numerical modeling of particle deposition in the conducting airways of asthmatic children. Med Eng Phys 2019; 76:40-46. [PMID: 31879223 DOI: 10.1016/j.medengphy.2019.10.014] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 09/30/2019] [Accepted: 10/20/2019] [Indexed: 02/05/2023]
Abstract
Mounting evidence has linked long- and short-term exposure to particulate air pollution with the incidence and exacerbation of asthma in children, but the biological pathogenesis is unclear. We examined the deposition of particles in the airways of asthmatic children. A planar and symmetric model of airways for 4-year-old asthmatic children was considered. Airflow and particle deposition in the upper (G3-G6) and lower (G9-G12) conducting airways were numerically investigated using computation fluid dynamics (CFD) method. We considered the manifestation of moderate (30% reduction in airway diameter) and severe (60% reduction) asthma. Micron particles (1-10 µm) were considered. We found that particle deposition in the asthmatic children was significantly higher than that in healthy children. The deposition efficiency increased slowly with particle size for healthy children, but increased rapidly for asthmatic children, such that smaller particles could be deposited in the conducting airways of asthmatics. For healthy children, particles were deposited by inertial impaction and gravitational sedimentation respectively in the upper and lower airways, but deposited by inertial impaction in asthmatic children. The severity of the asthma increased the particle deposition in the airways. Our study indicated that asthmatic children were more susceptible to the effect of particulate air pollution. The constricted airways increased the particle deposition by inertial impaction, which may be the biological pathogenesis that causes the hospitalization of asthma in children. Avoiding exposure during air pollution events will be an effective measure to reduce the asthma attack.
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Affiliation(s)
- Wenwen Zhang
- School of Energy Science and Engineering, Central South University, Changsha 410083, China
| | - Yuguang Xiang
- School of Energy Science and Engineering, Central South University, Changsha 410083, China
| | - Chan Lu
- School of Energy Science and Engineering, Central South University, Changsha 410083, China; XiangYa School of Public Health, Central South University, Changsha 410078, China
| | - Cuiyun Ou
- School of Energy Science and Engineering, Central South University, Changsha 410083, China; School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou 510275, China
| | - Qihong Deng
- School of Energy Science and Engineering, Central South University, Changsha 410083, China; XiangYa School of Public Health, Central South University, Changsha 410078, China; School of Public Health, Zhengzhou University, Zhengzhou 450001, China; School of School of Architecture and Art, Central South University, Changsha 410083, China.
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Jung EJ, Na W, Lee KE, Jang JY. Elderly Mortality and Exposure to Fine Particulate Matter and Ozone. J Korean Med Sci 2019; 34:e311. [PMID: 31833266 PMCID: PMC6911868 DOI: 10.3346/jkms.2019.34.e311] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 10/15/2019] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND The effects on particulate matter (PM) and ozone on health are being reported by a number of studies. The effects of these air pollutants are likely to be stronger in the elderly population, but studies in this regard are scarce. The purpose of this study was to study the effects of PM ≤ 2.5 μ and ozone on chronic health effects of the elderly population. METHODS In order to analyze the health status of the elderly population, National Statistical Office Mortality records were used. In this study, we calculated the number of deaths in Seoul of people who were 60 years or older between 2002 and 2012. The current study analyzed each disorder separately and the lag effect. PM and ozone were analyzed using the single exposure model, as well as the adjusted multi exposure model. RESULTS In the single exposure analysis with PM2.5 as the exposure variable, with the increase of 10 μ/m³, the number of deaths increased by 1.0039 fold, and vascular disease 1.0053 fold. In the multi exposure model adjusting for ozone, the number of deaths increased by 1.0037 fold, and vascular disease 1.0049 fold. In the single exposure analysis with ozone as the exposure variable, with the increase of 10 ppb, the number of deaths increased by 1.0038 fold, and in the multi exposure model adjusting for PM2.5, the number of deaths increased by 1.0027 fold. These results differed depending on the period or season. There was a 5-day lag effect between PM2.5 and deaths in the multi exposure model, and 1.0028 fold when adjusted for ozone. There was a 1-day lag effect in single exposure models with ozone as the main variable, and 1.0027 fold increase in deaths. CONCLUSION In our study, an increase in the number of deaths in the elderly population in accordance with the increase in the PM2.5 and ozone was found. The association found in our study could also influence socioeconomic burden. Future studies need to be performed in regards to younger population, as well as other air pollutants.
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Affiliation(s)
- En Joo Jung
- Department of Preventive Medicine, Ajou University School of Medicine, Suwon, Korea.
| | | | - Kyung Eun Lee
- Occupational Safety and Health Research Institute, Korea Occupational Safety and Health Agency, Ulsan, Korea
| | - Jae Yeon Jang
- Department of Preventive Medicine, Ajou University School of Medicine, Suwon, Korea
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Dai MY, Chen FF, Wang Y, Wang MZ, Lv YX, Liu RY. Particulate matters induce acute exacerbation of allergic airway inflammation via the TLR2/NF-κB/NLRP3 signaling pathway. Toxicol Lett 2019; 321:146-154. [PMID: 31836503 DOI: 10.1016/j.toxlet.2019.12.013] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 12/07/2019] [Accepted: 12/10/2019] [Indexed: 12/23/2022]
Abstract
BACKGROUND Exposure to particulate matters (PMs) can lead to an acute exacerbation of allergic airway diseases, increasing the severity of symptoms and mortality. However, little is known about the underlying molecular mechanism. This study aimed to investigate the effects of PMs on acute exacerbation of allergic airway inflammation and seek potential therapeutic targets. METHODS Non-allergic control and ovalbumin (OVA)-allergic wide-type (WT) and Toll-like receptor 2 knockout (Tlr2-/-) mice were exposed to 100 μg of PM (diameter 5.85 μm) or saline by the oropharyngeal instillation. The responses were examined three days after exposure. In the RAW264.7 macrophage cell line, Tlr2 was knocked down by small-interfering RNA or the NF-κB inhibitor JSH-23 was used, and then the cells were stimulated with PMs for 12 h before comparison of the inflammatory responses. RESULTS PM exposure led to increased inflammatory cell recruitment and airway intensity of PAS + staining in OVA-allergic WT mice, accompanied with an accumulation of inflammatory cells and elevated inflammatory cytokines, such as IL-6 and IL-18, in the bronchoalveolar lavage fluid (BALF). Furthermore, the protein levels of TLR2 and the NLRP3 inflammasome were elevated concomitantly with the airway inflammation post-OVA/PMs challenge. Tlr2 deficiency effectively inhibited the airway inflammation, including pulmonary inflammatory cell recruitment, mucus secretion, serum OVA-specific immunoglobulin E (IgE), and BALF inflammatory cytokine production. Additionally, the P-induced NLRP3 activation in the RAW 264.7 cell line was diminished by the knockdown of Tlr2 or JSH-23 treatment in vitro. CONCLUSION Our results indicated that PMs exacerbate the allergic airway inflammation mediated by the TLR2/ NF-κB/NLRP3 signaling pathway. Inhibition of NF-κB seems to be a possible treatment.
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Affiliation(s)
- Meng-Yuan Dai
- Department of Respiratory and Critical Care, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China; Department of Geriatric Respiratory and Critical Care, Provincial Key Laboratory of Molecular Medicine for Geriatric Disease, Anhui Geriatric Institute, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Fang-Fang Chen
- Department of Geriatric Respiratory and Critical Care, Provincial Key Laboratory of Molecular Medicine for Geriatric Disease, Anhui Geriatric Institute, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yong Wang
- Department of Respiratory and Critical Care, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Mu-Zi Wang
- Department of Geriatric Respiratory and Critical Care, Provincial Key Laboratory of Molecular Medicine for Geriatric Disease, Anhui Geriatric Institute, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yun-Xiang Lv
- Department of Geriatric Respiratory and Critical Care, Provincial Key Laboratory of Molecular Medicine for Geriatric Disease, Anhui Geriatric Institute, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Rong-Yu Liu
- Department of Respiratory and Critical Care, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China; Department of Geriatric Respiratory and Critical Care, Provincial Key Laboratory of Molecular Medicine for Geriatric Disease, Anhui Geriatric Institute, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
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Zhang F, Luo L, Wang Z, Zhang W, Li C, Qiu Z, Huang D. Estimation of the Effects of Air Pollution on Hospitalization Expenditures for Asthma. INTERNATIONAL JOURNAL OF HEALTH SERVICES 2019; 50:100-109. [PMID: 31542977 DOI: 10.1177/0020731419874996] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Key Words] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Fengyi Zhang
- Business School, Sichuan University, Chengdu, China
| | - Li Luo
- Business School, Sichuan University, Chengdu, China
| | - Ziyan Wang
- Business School, Sichuan University, Chengdu, China
| | - Wei Zhang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Chunyang Li
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Zhixin Qiu
- Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Debin Huang
- Chengdu Medical Insurance Administration, Chengdu, China
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Yuan L, Zhang Y, Gao Y, Tian Y. Maternal fine particulate matter (PM 2.5) exposure and adverse birth outcomes: an updated systematic review based on cohort studies. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:13963-13983. [PMID: 30891704 DOI: 10.1007/s11356-019-04644-x] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Accepted: 02/19/2019] [Indexed: 04/16/2023]
Abstract
Exposure to ambient air pollutants during pregnancy may be associated with numerous side health effects and adverse birth outcomes. Growing numbers of studies have explored a possible linkage between prenatal exposure to PM2.5 (particulate matter with aerodynamic diameter ≤ 2.5 μm) and impacts on fetal development. We aimed to conduct a systematic review based on published cohort studies to summarize evidence regarding the association between maternal PM2.5 exposure and birth outcomes, including birth weight, low birth weight (LBW), preterm birth (PTB), and small for gestational age (SGA). Eligible studies meeting the following criterion were selected: PM2.5 exposure during pregnancy and live birth singletons, certain presentation of sample sizes, and quantitative evaluation of the associations between exposure and outcomes. Among the 42 selected studies, 23 evaluated the impact of prenatal PM2.5 exposure on birth weight of infants while 12 of them provided a significantly negative association for exposure and birth weight. Twenty-one studies aimed to identify the possible relationship between maternal exposure and LBW and 8 studies proved significant associations. Among 18 studies that explored the correlation between prenatal exposure and PTB, 9 reached a consistent conclusion that gestational exposure would add to the risk of PTB. Nine studies assessed the impact of PM2.5 on SGA and 5 of them demonstrated a significant effect. So far, linkages between maternal PM2.5 exposure during varied gestational stages and multiple adverse birth outcomes have been observed in many studies. A summary of them will be meaningful for further research on maternal exposure and adverse birth outcomes.
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Affiliation(s)
- Lei Yuan
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China
| | - Yan Zhang
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China
| | - Yu Gao
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China.
| | - Ying Tian
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China.
- MOE and Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Wang Y, Yao C, Xu C, Zeng X, Zhou M, Lin Y, Zhang P, Yin P. Carbon monoxide and risk of outpatient visits due to cause-specific diseases: a time-series study in Yichang, China. Environ Health 2019; 18:36. [PMID: 31014335 PMCID: PMC6477706 DOI: 10.1186/s12940-019-0477-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 04/05/2019] [Indexed: 05/08/2023]
Abstract
BACKGROUND Previous studies showed inconsistent results on risk of increased outpatient visits for cause-specific diseases associated with ambient carbon monoxide (CO). METHODS Daily data for CO exposure and outpatient visits for all-causes and five specific diseases in Yichang, China from 1st January 2016 to 31st December 2017 were collected. Generalised additive models with different lag structures were used to examine the short-term effects of ambient CO on outpatient visits. Potential effect modifications by age, sex and season were examined. RESULTS A total of 5,408,021 outpatient visits were recorded. We found positive and statistically significant associations between CO and outpatient visits for multiple outcomes and all the estimated risks increased with longer moving average lags. An increase of 1 mg/m3 of CO at lag06 (a moving average of lag0 to lag6), was associated with 24.67% (95%CI: 14.48, 34.85%), 21.79% (95%CI: 12.24, 31.35%), 39.30% (95%CI: 25.67, 52.92%), 25.83% (95%CI: 13.91, 37.74%) and 19.04% (95%CI: 8.39, 29.68%) increase in daily outpatient visits for all-cause, respiratory, cardiovascular, genitourinary and gastrointestinal diseases respectively. The associations for all disease categories except for genitourinary diseases were statistically significant and stronger in warm seasons than cool seasons. CONCLUSION Our analyses provide evidences that the CO increased the total and cause-specific outpatient visits and strengthen the rationale for further reduction of CO pollution levels in Yichang. Ambient CO exerted adverse effect on respiratory, cardiovascular, genitourinary, gastrointestinal and neuropsychiatric diseases especially in the warm seasons.
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Affiliation(s)
- Yu Wang
- Department of Anesthesiology, Institute of Anesthesia and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022 China
| | - Chengye Yao
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022 China
| | - Chengzhong Xu
- Yichang Center for Disease Control and Prevention, 3 Dalian Road, Yichang, 443005 China
| | - Xinying Zeng
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing, 100050 China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing, 100050 China
| | - Yun Lin
- Department of Anesthesiology, Institute of Anesthesia and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022 China
| | - Pei Zhang
- Yichang Center for Disease Control and Prevention, 3 Dalian Road, Yichang, 443005 China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing, 100050 China
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North CM, Rice MB, Ferkol T, Gozal D, Hui C, Jung SH, Kuribayashi K, McCormack MC, Mishima M, Morimoto Y, Song Y, Wilson KC, Kim WJ, Fong KM. Air pollution in the Asia-Pacific Region: A Joint Asian Pacific Society of Respirology/American Thoracic Society perspective (Republication). Respirology 2019; 24:484-491. [PMID: 30920029 DOI: 10.1111/resp.13531] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Crystal M North
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Mary B Rice
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Thomas Ferkol
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - David Gozal
- Department of Child Health, The University of Missouri School of Medicine, Columbia, MO, USA
| | | | - Soon-Hee Jung
- Department of Pathology, Wonju College of Medicine, Yonsei University, Wonju, South Korea
| | - Kozo Kuribayashi
- Department of Respiratory Medicine, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Meredith C McCormack
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, John Hopkins School of Medicine, Baltimore, MD, USA
| | - Michiaki Mishima
- Department of Physical Therapeutics, Kyoto University Hospital of Medicine, Kyoto, Japan
| | - Yasuo Morimoto
- University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Yuanlin Song
- Department of Pulmonary Medicine, Zhongshan Hospital, Shanghai, China.,Fudan University, Shanghai, China
| | - Kevin C Wilson
- Division of Allergy, Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Woo Jin Kim
- Department of Internal Medicine, Kangwon National University Hospital, Chuncheon, South Korea
| | - Kwun M Fong
- The Prince Charles Hospital, Metro North Hospital and Health Service, Brisbane, QLD, Australia.,The University of Queensland Thoracic Research Centre at The Prince Charles Hospital, Brisbane, QLD, Australia
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Chen J, Jiang X, Shi C, Liu R, Lu R, Zhang L. Association between gaseous pollutants and emergency ambulance dispatches for asthma in Chengdu, China: a time-stratified case-crossover study. Environ Health Prev Med 2019; 24:20. [PMID: 30885130 PMCID: PMC6421698 DOI: 10.1186/s12199-019-0773-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Accepted: 02/27/2019] [Indexed: 11/30/2022] Open
Abstract
Objectives The association between concentrations of sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), ozone (O3), and emergency ambulance dispatches (EADs) for asthma was explored in the central Sichuan Basin of southwestern China for the first time. Methods EADs for asthma were collected from the Chengdu First-Aid Command Center. Pollutant concentrations were collected from 24 municipal environmental monitoring centers and including SO2, NO2, CO, daily 8-h mean concentrations of O3 (O3-8 h), and particulate matter less than 2.5 μm in aerodynamic diameter (PM2.5). The climatic data were collected from the Chengdu Municipal Meteorological Bureau. All data were collected from years spanning 2013–2017. A time-stratified case-crossover design was used to analyze the data. Results After controlling for temperature, relative humidity, and atmospheric pressure, IQR increases in SO2 (13 μg/m3), NO2 (17 μg/m3), and CO (498 μg/m3) were associated with 18.8%, 11.5%, and 3.1% increases in EADs for asthma, respectively. The associations were strongest for EADs and SO2, NO2, and CO levels with 3-, 5-, and 1-day lags, respectively. Conclusions This study provides additional data to the limited body of literature for potential health risks arising from ambient gaseous pollutants. The results of the study suggest that increased concentrations of SO2, NO2, and CO were positively associated with emergency ambulance dispatches for asthma in Chengdu, China. Further studies are needed to investigate the effects of individual air pollutants on asthma.
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Affiliation(s)
- Jianyu Chen
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041, China.
| | - Xianyan Jiang
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041, China
| | - Chunli Shi
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041, China
| | - Ruicong Liu
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041, China
| | - Rong Lu
- Chengdu Center for Disease Control and Prevention, Chengdu, China
| | - Li Zhang
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041, China.
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North CM, Rice MB, Ferkol T, Gozal D, Hui C, Jung SH, Kuribayashi K, McCormack MC, Mishima M, Morimoto Y, Song Y, Wilson KC, Kim WJ, Fong KM. Air Pollution in the Asia-Pacific Region. A Joint Asian Pacific Society of Respirology/American Thoracic Society Perspective. Am J Respir Crit Care Med 2019; 199:693-700. [DOI: 10.1164/rccm.201804-0673pp] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Affiliation(s)
- Crystal M. North
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Massachusetts
| | - Mary B. Rice
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Thomas Ferkol
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri
| | - David Gozal
- Department of Child Health, The University of Missouri School of Medicine, Columbia, Missouri
| | | | - Soon-Hee Jung
- Department of Pathology, Wonju College of Medicine, Yonsei University, Wonju, South Korea
| | - Kozo Kuribayashi
- Department of Respiratory Medicine, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Meredith C. McCormack
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, John Hopkins School of Medicine, Baltimore, Maryland
| | - Michiaki Mishima
- Department of Physical Therapeutics, Kyoto University Hospital of Medicine, Kyoto, Japan
| | - Yasuo Morimoto
- University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Yuanlin Song
- Department of Pulmonary Medicine, Zhongshan Hospital, Shanghai, China
- Fudan University, Shanghai, China
| | - Kevin C. Wilson
- Division of Allergy, Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Woo Jin Kim
- Department of Internal Medicine, Kangwon National University Hospital, Chuncheon, South Korea
| | - Kwun M. Fong
- The Prince Charles Hospital, Metro North Hospital and Health Service, Brisbane, Australia; and
- The University of Queensland Thoracic Research Centre at The Prince Charles Hospital, Brisbane, Australia
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Zhu X, Qiu H, Wang L, Duan Z, Yu H, Deng R, Zhang Y, Zhou L. Risks of hospital admissions from a spectrum of causes associated with particulate matter pollution. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 656:90-100. [PMID: 30502738 DOI: 10.1016/j.scitotenv.2018.11.240] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 11/16/2018] [Accepted: 11/16/2018] [Indexed: 05/04/2023]
Abstract
Ambient particulate matter (PM) pollution has been linked to elevated hospital admissions (HAs), especially from respiratory and cardiovascular diseases. However, few studies have estimated the associations between PM pollution and HAs for a wider range of broad disease categories. This study aimed to evaluate the effects of PM with aerodynamic diameter ≤ 2.5 μm (PM2.5) and ≤10 μm (PM10) on a range of broad and specific causes of HAs in Chengdu, China during 2015-2016, using a generalized additive model (GAM). Age-, gender- and season-specific analyses were also performed on the broad categories. We further calculated the corresponding morbidity burden due to PM exposure. During the study period, the daily mean level for PM2.5 and PM10 was 57.3 μg/m3 and 94.7 μg/m3, respectively. For broad disease categories, each 10 μg/m3 increase in PM10 at lag06 was associated with increments of 0.65% (95% CI: 0.32%-0.99%) in HAs from respiratory, 0.49% (95% CI: 0.04%-0.95%) from circulatory and 0.91% (95% CI: 0.15%-1.69%) from skin and subcutaneous tissue diseases. By contrast, only respiratory HAs showed a significant positive association with elevated PM2.5 at lag06 (1.03% increase per 10 μg/m3, 95% CI: 0.50%-1.56%, p < 0.001). Increased HAs risks for several more refined specific causes within respiratory, circulatory, skin and subcutaneous tissue, nervous and genitourinary diseases were also observed. Subgroup analyses indicated that effect estimates were modified by age, gender and season. Overall, the largest morbidity burden was observed in myocardial infarction, about 11.27% (95% CI: 3.45%-18.07%) and 11.11% (95% CI: 4.07%-17.27%) of HAs for myocardial infarction could be attributable to PM2.5 and PM10 levels exceeding the WHO's air quality guidelines (24-h mean: 25 μg/m3 for PM2.5 and 50 μg/m3 for PM10). Our study suggests that both PM2.5 and PM10 increase risks of morbidity from broad range of causes of HAs in Chengdu, and result in substantial morbidity burden.
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Affiliation(s)
- Xiaojuan Zhu
- Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China; Center for Artificial Intelligence and Smart Health, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Hang Qiu
- Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China; Center for Artificial Intelligence and Smart Health, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China.
| | - Liya Wang
- Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China
| | - Zhanqi Duan
- Health and Family Planning Information Center of Sichuan Province, Chengdu, China
| | - Haiyan Yu
- School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing, China; Department of Statistics, The Pennsylvania State University, University Park, PA, USA
| | - Ren Deng
- Health and Family Planning Information Center of Sichuan Province, Chengdu, China
| | - Yanlong Zhang
- Chengdu Shulianyikang Technology Co., Ltd, Chengdu, China
| | - Li Zhou
- Health and Family Planning Information Center of Sichuan Province, Chengdu, China.
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Zhang Y, Ni H, Bai L, Cheng Q, Zhang H, Wang S, Xie M, Zhao D, Su H. The short-term association between air pollution and childhood asthma hospital admissions in urban areas of Hefei City in China: A time-series study. ENVIRONMENTAL RESEARCH 2019; 169:510-516. [PMID: 30544078 DOI: 10.1016/j.envres.2018.11.043] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 10/29/2018] [Accepted: 11/27/2018] [Indexed: 06/09/2023]
Abstract
BACKGROUND The impacts of air pollution on asthma attacks have become a hotspot. Previous studies mainly focused on the developed countries or cities. There have been very limited studies in less-developed region to quantify the effects of air pollutants on asthma admissions in children. This study aims to assess the short-term impact of air pollutants on asthma hospital admissions for children in Hefei, China. METHODS Poisson generalized linear regression combined with distributed lag non-linear model (DLNM) were applied to investigate the effects of air pollutants on daily childhood hospital admissions of asthma from 2015 to 2016, controlling for meteorological factors. Subgroup analyses by sex and age were performed. RESULTS There were a total of 17,227 asthma admissions during 2015-2016. We found positive correlations between childhood asthma hospital visits and concentrations of NO2, O3, PM10 and PM2.5. Significantly, NO2 exhibited robust positive correlations with cumulative effects 1.551 (95% CI: 1.306-1.841, lag0-3 days) in single-pollutant model and 1.580 (95% CI: 1.315-1.899, lag0-3 days) in multiple-pollutant model. CONCLUSIONS Air pollutants had adverse effects on childhood asthma. NO2 presented the greatest effect, followed by PM2.5. Results will be important for health authority and guardians to realize the severity of air pollution on the increased risk of asthma, so as to develop relevant strategies and health interventions to meet the challenges of childhood asthma and reduce air pollution.
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Affiliation(s)
- Yanwu Zhang
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
| | - Hong Ni
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Province Children's Hospital, Hefei, Anhui 230051, China
| | - Lijun Bai
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
| | - Qiang Cheng
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
| | - Heng Zhang
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
| | - Shusi Wang
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
| | - Mingyu Xie
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
| | - Desheng Zhao
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
| | - Hong Su
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China.
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Qiu H, Yu H, Wang L, Zhu X, Chen M, Zhou L, Deng R, Zhang Y, Pu X, Pan J. The burden of overall and cause-specific respiratory morbidity due to ambient air pollution in Sichuan Basin, China: A multi-city time-series analysis. ENVIRONMENTAL RESEARCH 2018; 167:428-436. [PMID: 30121467 DOI: 10.1016/j.envres.2018.08.011] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 06/29/2018] [Accepted: 08/06/2018] [Indexed: 05/25/2023]
Abstract
Few studies have investigated the respiratory morbidity burden due to ambient air pollution in China, especially in a multi-city setting. This study aimed to estimate the short-term effects of ambient air pollutants (PM10, PM2.5, NO2 and SO2) on hospital admissions (HAs) for overall and cause-specific respiratory diseases, as well as the associated burden in 17 cities of Sichuan Basin, China during 2015-2016. Firstly, city-specific effect estimates for each pollutant on respiratory HAs were obtained using generalized additive model with quasi-Poisson link, and then random- or fixed-effects meta-analysis was applied to pool the effect estimates at the regional level. Subgroup analyses by sex, age, season and region were also performed. A total of 757,712 respiratory HAs were collected from all the tertiary and secondary hospitals located in the 17 cities. Risks of HAs for overall and cause-specific respiratory diseases were elevated following increased PM10, PM2.5, NO2 and SO2 exposure. An increase of 10 μg/m3 in PM10 at lag01, PM2.5 at lag01, NO2 at lag0 and SO2 at lag02 was associated with a 0.43% (95% CI: 0.33%, 0.53%), 0.53% (95% CI: 0.39%, 0.68%), 2.36% (95% CI: 1.75%, 2.98%) and 2.54% (95% CI: 1.51%, 3.59%) increases in total respiratory HAs, respectively. Children (≤ 14 years) and elderly (≥ 65 years) appeared to be more vulnerable to the effects of ambient air pollutants. Comparing to the WHO's air quality guidelines, we estimated that 1.84% (95%CI: 1.42%, 2.25%), 1.73% (95%CI: 1.27%, 2.19%) and 0.34% (95%CI: 0.21%, 0.48%) of respiratory HAs were due to PM10, PM2.5 and SO2 exposure, respectively. This study suggests that air pollution might be an important trigger of respiratory admissions, and result in substantial burden of HAs for respiratory diseases in Sichuan Basin.
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Affiliation(s)
- Hang Qiu
- Health Big Data Research Institute, Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Haiyan Yu
- School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing, China; Department of Statistics, The Pennsylvania State University, University Park, PA, USA
| | - Liya Wang
- Health Big Data Research Institute, Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China.
| | - Xiaojuan Zhu
- Health Big Data Research Institute, Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Mengdie Chen
- Health Big Data Research Institute, Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Li Zhou
- Health and Family Planning Information Center of Sichuan Province, Chengdu, China
| | - Ren Deng
- Health and Family Planning Information Center of Sichuan Province, Chengdu, China; Sichuan Health Information Association, Chengdu, Sichuan, China
| | - Yanlong Zhang
- Chengdu Shulianyikang Technology Co., Ltd, Chengdu, China
| | - Xiaorong Pu
- Health Big Data Research Institute, Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Jingping Pan
- Health and Family Planning Information Center of Sichuan Province, Chengdu, China; Sichuan Health Information Association, Chengdu, Sichuan, China.
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