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Xue T, Tong M, Wang M, Yang X, Wang Y, Lin H, Liu H, Li J, Huang C, Meng X, Zheng Y, Tong D, Gong J, Zhang S, Zhu T. Health Impacts of Long-Term NO 2 Exposure and Inequalities among the Chinese Population from 2013 to 2020. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:5349-5357. [PMID: 36959739 DOI: 10.1021/acs.est.2c08022] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Nitrogen dioxide (NO2) is associated with mortality and many other adverse health outcomes. In 2021, the World Health Organization established a new NO2 air quality guideline (AQG) (annual average <10 μg/m3). However, the burden of diseases attributable to long-term NO2 exposure above the AQG is unknown in China. Nitrogen oxide is a major air pollutant in populous cities, which are disproportionately impacted by NO2; this represents a form of environmental inequality. We conducted a nationwide risk assessment of premature deaths attributable to long-term NO2 exposure from 2013 to 2020 based on the exposure-response relationship, high-resolution annual NO2 concentrations, and gridded population data (considering sex, age, and residence [urban vs rural]). We calculated health metrics including attributable deaths, years of life lost (YLL), and loss of life expectancy (LLE). Inequality in the distribution of attributable deaths and YLLs was evaluated by the Lorenz curve and Gini index. According to the health impact assessments, in 2013, long-term NO2 exposure contributed to 315,847 (95% confidence interval [CI]: 306,709-319,269) premature deaths, 7.90 (7.68-7.99) million YLLs, and an LLE of 0.51 (0.50-0.52) years. The high-risk subgroup (top 20%) accounted for 85.7% of all NO2-related deaths and 85.2% of YLLs, resulting in Gini index values of 0.81 and 0.67, respectively. From 2013 to 2020, the estimated health impact from NO2 exposure was significantly reduced, but inequality displayed a slightly increasing trend. Our study revealed a considerable burden of NO2-related deaths in China, which were disproportionally frequent in a small high-risk subgroup. Future clean air initiatives should focus not only on reducing the average level of NO2 exposure but also minimizing inequality.
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Affiliation(s)
- Tao Xue
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing 100191, China
- Center for Environment and Health, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Mingkun Tong
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing 100191, China
| | - Meng Wang
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, New York 14214, United States
- Research and Education in Energy, Environment and Water Institute, University at Buffalo, Buffalo, New York 14214, United States
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98115, United States
| | - Xinyue Yang
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Yanying Wang
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Huan Lin
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Hengyi Liu
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing 100191, China
| | - Jiajianghui Li
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing 100191, China
| | - Conghong Huang
- College of Land Management, Nanjing Agricultural University, Nanjing 210095, China
- National & Local Joint Engineering, Research Center for Rural Land Resources Use and Consolidation, Nanjing 210095, China
| | - Xia Meng
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education, and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Yixuan Zheng
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing 100012, China
| | - Dan Tong
- Department of Earth System Science, Tsinghua University, Beijing 100084, China
| | - Jicheng Gong
- SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing 100871, China
| | - Shiqiu Zhang
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Tong Zhu
- SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing 100871, China
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Ni Y, Zhang J, Zhang M, Bai Y, Zeng Q. The life expectancy benefits on respiratory diseases gained by reducing the daily concentration of particulate matter to attain different air quality standard targets: findings from a 5-year time-series study in Tianjin, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:68870-68880. [PMID: 35554809 DOI: 10.1007/s11356-022-20610-6] [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: 01/08/2022] [Accepted: 04/30/2022] [Indexed: 06/15/2023]
Abstract
The short-term effects of particulate matter (PM) on years of life lost (YLL) have been confirmed by several studies; however, little attention has been paid to the effects of PM on life expectancy from respiratory diseases (RD), especially at the city level. A generalized additive model (GAM) was used to assess the associations between daily PM and YLL of the RD and chronic obstructive pulmonary diseases (COPD) in Tianjin from 2015 to 2019. Then the daily avoidable YLL, attributable fraction, and potential life expectancy benefits (PLEB) of RD and COPD by reducing the daily concentration of PM2.5 and PM10 to attain the Chinese and World Health Organization (WHO) air quality standard targets were estimated during 2015-2019. The stratified analyses by gender were also conducted. A total of 18279 RD and 7767 COPD deaths were included in this study. Per 10 μg/m3 increments in PM2.5 and PM10 at lag1 were significantly associated with 0.83(95%CI: 0.11, 1.55) years and 0.57(95%CI: 0.06, 1.08) years increasing in YLL of total RD and 0.48 (95%CI: 0.07, 0.90) years and 0.30 (95%CI: 0.01, 0.60) years increasing in YLL of total COPD. If the daily PM2.5 and PM10 concentrations decreased to attain the Chinese and WHO air quality standard targets, 0.06-0.39 years PLEB due to total RD and 0.08-0.53 years PLEB due to COPD could be gained. And more PLEB on RD could be gained by decreasing the daily PM concentrations to attain the WHO air quality standard targets than that of attaining the Chinese air quality standard targets. These evidence-based findings emphasize the importance of the Chinese PM-related guideline updating and may have implications for PM-related policy-making.
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Affiliation(s)
- Yang Ni
- Tianjin Centers for Disease Control and Prevention, Tianjin, 300011, People's Republic of China
| | - Jimian Zhang
- Tianjin Centers for Disease Control and Prevention, Tianjin, 300011, People's Republic of China
| | - Mengnan Zhang
- Tianjin Centers for Disease Control and Prevention, Tianjin, 300011, People's Republic of China
- School of Public Health, Tianjin Medical University, Tianjin, 300070, People's Republic of China
| | - Yu Bai
- Tianjin Centers for Disease Control and Prevention, Tianjin, 300011, People's Republic of China
- School of Public Health, Tianjin Medical University, Tianjin, 300070, People's Republic of China
| | - Qiang Zeng
- Tianjin Centers for Disease Control and Prevention, Tianjin, 300011, People's Republic of China.
- School of Public Health, Tianjin Medical University, Tianjin, 300070, People's Republic of China.
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Short-term association of PM2.5/PM10 on lung cancer mortality in Wuhai city, China (2015–2019): a time series analysis. Eur J Cancer Prev 2022; 31:530-539. [DOI: 10.1097/cej.0000000000000764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Lamichhane DK, Jung DY, Shin YJ, Lee KS, Lee SY, Ahn K, Kim KW, Shin YH, Suh DI, Hong SJ, Kim HC. Association between ambient air pollution and perceived stress in pregnant women. Sci Rep 2021; 11:23496. [PMID: 34873215 PMCID: PMC8648786 DOI: 10.1038/s41598-021-02845-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Accepted: 11/17/2021] [Indexed: 11/23/2022] Open
Abstract
Air pollution may influence prenatal maternal stress, but research evidence is scarce. Using data from a prospective cohort study conducted on pregnant women (n = 2153), we explored the association between air pollution and perceived stress, which was assessed using the 14-item Perceived Stress Scale (PSS), among pregnant women. Average exposures to particulate matter with an aerodynamic diameter of < 2.5 µm (PM2.5) or < 10 µm (PM10), nitrogen dioxide (NO2), and ozone (O3) for each trimester and the entire pregnancy were estimated at maternal residential addresses using land-use regression models. Linear regression models were applied to estimate associations between PSS scores and exposures to each air pollutant. After adjustment for potential confounders, interquartile-range (IQR) increases in whole pregnancy exposures to PM2.5, PM10, and O3 in the third trimester were associated with 0.37 (95% confidence interval [CI] 0.01, 0.74), 0.54 (95% CI 0.11, 0.97), and 0.30 (95% CI 0.07, 0.54) point increases in prenatal PSS scores, respectively. Furthermore, these associations were more evident in women with child-bearing age and a lower level of education. Also, the association between PSS scores and PM10 was stronger in the spring. Our findings support the relationship between air pollution and prenatal maternal stress.
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Affiliation(s)
- Dirga Kumar Lamichhane
- grid.202119.90000 0001 2364 8385Department of Occupational and Environmental Medicine, Inha University School of Medicine, Incheon, Republic of Korea
| | - Dal-Young Jung
- grid.202119.90000 0001 2364 8385Department of Occupational and Environmental Medicine, Inha University School of Medicine, Incheon, Republic of Korea
| | - Yee-Jin Shin
- grid.15444.300000 0004 0470 5454Department of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Kyung-Sook Lee
- grid.444037.00000 0000 9208 7123Department of Rehabilitation, Hanshin University, Osan, Gyeonggi-do Republic of Korea
| | - So-Yeon Lee
- grid.413967.e0000 0001 0842 2126Department of Pediatrics, Childhood Asthma Atopy Center, Humidifier Disinfectant Health Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Kangmo Ahn
- grid.414964.a0000 0001 0640 5613Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea ,grid.414964.a0000 0001 0640 5613Environmental Health Center for Atopic Diseases, Samsung Medical Center, Seoul, Republic of Korea
| | - Kyung Won Kim
- grid.15444.300000 0004 0470 5454Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Youn Ho Shin
- grid.413793.b0000 0004 0624 2588Department of Pediatrics, CHA Gangnam Medical Center, CHA University School of Medicine, Seoul, Republic of Korea
| | - Dong In Suh
- grid.31501.360000 0004 0470 5905Department of Pediatrics, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Soo-Jong Hong
- Department of Pediatrics, Childhood Asthma Atopy Center, Humidifier Disinfectant Health Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
| | - Hwan-Cheol Kim
- Department of Occupational and Environmental Medicine, Inha University School of Medicine, Incheon, Republic of Korea.
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Years of Life Lost (YLL) Due to Short-Term Exposure to Ambient Air Pollution in China: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182111467. [PMID: 34769981 PMCID: PMC8582650 DOI: 10.3390/ijerph182111467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 10/28/2021] [Accepted: 10/29/2021] [Indexed: 11/16/2022]
Abstract
(1) Background: Years of life lost (YLL) as a surrogate of health is important for supporting ambient air pollution related policy decisions. However, there has been little comprehensive evaluation of the short-term impact of air pollution on cause-specific YLL, especially in China. Hence in this study, we selected China as sentinel region in order to conduct a meta-analysis to evaluate disease-specific YLL due to all the main ambient air pollutants. (2) Methods: A meta-analysis was conducted to evaluate disease-specific YLL due to the main ambient air pollutants in China, and 19 studies were included. We conducted methodological quality and risk of bias assessment for each included study as well as for heterogeneity and publication bias. Subgroup analysis and sensitivity analysis were also performed. (3) Results: Meta-analysis indicated that increases in PM2.5, PM10, SO2 and NO2 were associated with 1.99–5.84 years increase in YLL from non-accidental diseases. The increase in YLL to cardiovascular disease (CVD) was associated with PM10 and NO2, and the increase in YLL to respiratory diseases (RD) was associated with PM10. (4) Conclusions: Ambient air pollution was observed to be associated with several cause-specific YLL, increasing especially for elderly people and females.
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Li B, Yang J, Dong H, Li M, Cai D, Yang Z, Zhang C, Wang H, Hu J, Bergmann S, Lin G, Wang B. PM 2.5 constituents and mortality from a spectrum of causes in Guangzhou, China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 222:112498. [PMID: 34265527 DOI: 10.1016/j.ecoenv.2021.112498] [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: 01/24/2021] [Revised: 07/04/2021] [Accepted: 07/05/2021] [Indexed: 06/13/2023]
Abstract
As the major constituents of PM2.5, carbonaceous constituents and inorganic ions have attracted emerging attentions on their health risks, particularly on cardiorespiratory diseases. However, evidences on the risks of PM2.5 constituents on other diseases (eg. nervous disease, genitourinary disease, neoplasms and endocrine disease) remain scarce. In our study, we firstly calculated residuals of PM2.5 constituents regressed on PM2.5 to remove the confounding effect of PM2.5. Then, generalized additive model (GAM) was used to assess impacts of residuals of PM2.5 constituents on mortality from 36 diseases (10 broad categories and 26 subcategories) during 2011-2015 in Guangzhou, China. Results of constituent-residual models showed that only EC, OC and NO3- were significantly associated with all-cause mortality, with per IQR change in corresponding constituent residuals related to percentage changes of 1.69% (95% CI: 0.42, 2.97), 1.94% (95% CI: 0.37, 3.54) and 2.59% (95% CI: 1.02, 4.18) at lag 03 days. All these pollutants were significantly associated with elevated mortality risk of cardiovascular disease, but only EC was significantly associated with respiratory mortality, and NO3- with endocrine disease and neoplasm. For more specific causes, the highest effect estimates of EC and NO3-were both observed on mortality from other form of heart disease, and OC on intentional self-harm, with estimates of 11.45% (95% CI: 2.74, 20.91), 12.59% (95% CI: 1.41, 25.02) and 18.01% (95% CI: 2.14, 36.36), respectively. Our findings highlighted that stricter emission control measures are still warranted to reduce air pollution level and protect the public health.
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Affiliation(s)
- Bixia Li
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China
| | - Jun Yang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China.
| | - Hang Dong
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, Guangdong, China
| | - Mengmeng Li
- Department of Cancer Prevention, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Dongjie Cai
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China
| | - Zhou Yang
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Chunlin Zhang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China
| | - Hao Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China
| | - Jianlin Hu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Engineering Technology Research Center of Environmental Cleaning Materials, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China
| | - Stéphanie Bergmann
- Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Guozhen Lin
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, Guangdong, China.
| | - Boguang Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China.
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Li J, Wang Y, Yin P, Huang J, Wu Z, Cao R, Wang L, Zeng Q, Pan X, Li G, Zhou M. The burden of sulfur dioxide pollution on years of life lost from chronic obstructive pulmonary disease: A nationwide analysis in China. ENVIRONMENTAL RESEARCH 2021; 194:110503. [PMID: 33221304 DOI: 10.1016/j.envres.2020.110503] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 10/31/2020] [Accepted: 11/16/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Sulfur dioxide (SO2) is one of the major gaseous pollutants in China and other developing countries. Few multicity studies have been done to examine the short-term effect of SO2 on cause-specific years of life lost (YLL). This study was designed to investigate the burden of chronic obstructive pulmonary disease (COPD) associated with SO2 exposure. METHODS A 5-year time-series study was conducted in 48 Chinese cities from 2013 to 2017. Generalized additive models were first used to estimate the city-specific relationship. Then, random-effects meta-analyses were applied to pool the estimates. Furthermore, the roles of potential modifiers and the related economic loss estimated by the method of value per statistical life year were also evaluated. RESULTS The annual mean concentration of SO2 was 27.1 μg/m3. A 10 μg/m3 increase in 4-day moving average (lag03) of SO2 concentration was associated with 0.83% (95% CI: 0.13%, 1.53%) relative increment in YLL from COPD, and relevant percent change of mortality was 0.78% (95% CI: 0.16%, 1.41%). Moreover, a significantly higher effect was observed in the warm season, particularly in the south region. SO2 exposure was estimated to account for 1.89% of the total economic loss due to YLL from COPD. CONCLUSIONS Our findings showed a positive association between short-term exposure to SO2 and YLL from COPD and highlighted the importance of continuous control of SO2 pollution to reduce corresponding attributable disease burden.
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Affiliation(s)
- Jie Li
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, 100069, China; 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
| | - Yuxin Wang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, 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
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Ziting Wu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Ru Cao
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Lijun Wang
- 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
| | - Qiang Zeng
- Department of Occupational Disease Control and Prevention, Tianjin Center for Disease Control and Prevention, Tianjin, 300011, China
| | - Xiaochuan Pan
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, 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.
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Li J, Zhang X, Li G, Wang L, Yin P, Zhou M. Short-term effects of ambient nitrogen dioxide on years of life lost in 48 major Chinese cities, 2013-2017. CHEMOSPHERE 2021; 263:127887. [PMID: 32835970 DOI: 10.1016/j.chemosphere.2020.127887] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Revised: 07/29/2020] [Accepted: 07/30/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Evidence on the acute effect of short-term exposure to nitrogen dioxide (NO2) on years of life lost (YLL) is rare, especially in multicity setting. METHODS We conducted a time series study among 48 major Chinese cities covering more than 403 million people from 2013 to 2017. The relative percentage changes of NO2-YLL were estimated by generalized additive models in each city, then were pooled to generate average effects using random-effect models. In addition, stratified analyses by individual demographic factors and temperature as well as meta-regression analyses incorporating city-specific air pollutant concentrations, meteorological conditions, and socioeconomic indicators were performed to explore potential effect modification. RESULTS A 10 μg/m3 increase in two-day moving average (lag01) NO2 concentration was associated with 0.64% (95% CI: 0.47%, 0.81%), 0.47% (95% CI: 0.27%, 0.68%), and 0.68% (95% CI: 0.34%, 1.02%) relative increments in YLL due to nonaccidental causes, cardiovascular diseases (CVD), and respiratory diseases (RD), respectively. These associations were generally robust to the adjustment of co-pollutants, except for NO2-CVD that might be confounded by fine particulate matter. The increased YLL induced by NO2 were more pronounced in elderly people, hotter days, and cities characterized by less severe air pollution or higher temperature. CONCLUSIONS Our results demonstrated robust evidence on the associations between NO2 exposure and YLL due to nonaccidental causes, CVD, and RD, which provided novel evidence to better understand the disease burden related to NO2 pollution and to facilitate allocation of health resources targeting high-risk subpopulation.
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Affiliation(s)
- Jie Li
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, China; National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiao Zhang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Guoxing Li
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
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REN Q, LI S, XIAO C, ZHANG J, LIN H, WANG S. The Impact of Air Pollution on Hospitalization for Cardiovascular and Cerebrovascular Disease in Shenyang, China. IRANIAN JOURNAL OF PUBLIC HEALTH 2020; 49:1476-1484. [PMID: 33083324 PMCID: PMC7554401 DOI: 10.18502/ijph.v49i8.3891] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 11/25/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND The aim of this study was to investigate the overall impact of PM2.5, PM10, NO2, SO2, CO, and O3 on the admission of cardiovascular and cerebrovascular disease. METHODS We collected data on cardiovascular and cerebrovascular disease admissions from two hospitals in Shenyang Liaoning, China from Jan 2014 to Dec 2017, as well as daily measurements of six pollutants at 11 sites in Shenyang. The generalized additive model was used to assess the association between daily contaminants and admission to cardiovascular and cerebrovascular disease. RESULTS The single-contamination model showed a significant correlation between NO2, O3, PM10 and cardiovascular and cerebrovascular diseases at lag0 day. Air pollutants had lag effects on different gender groups. Excess relative risks (ERs) associated with a 10 μg/m3 increase were 1.522(1.057, 1.988) on lag02 for NO2, 0.547% (0.367%, 0.728%), 0.133% (0.061%, 0.205%) on lag3 for O3 and PM10. The dual pollutant model showed that the effects of NO2, O3, and PM10 after adjusting the influence of other pollutants were still statistically significant. CONCLUSION Short-term exposure to ambient air pollution (NO2, O3, and PM10) may be associated with an increased risk of daily cardiovascular and cerebrovascular admission, which may provide reliable evidence for further understanding of the potential adverse effects of air pollution on cardiovascular and cerebrovascular diseases.
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Affiliation(s)
- Qingquan REN
- Department of Labor and Environmental Hygiene, Shenyang Medical College, Liaoning 110034, P.R. China
- Key Laboratory of Environmental Pollution and Microecology of Liaoning Province, Shenyang Medical College, Shenyang, Liaoning 110034, P.R. China
| | - Shuyin LI
- Key Laboratory of Environmental Pollution and Microecology of Liaoning Province, Shenyang Medical College, Shenyang, Liaoning 110034, P.R. China
- Department of Pathogenic Biology, Shenyang Medical College, Shenyang, Liaoning 110034, P.R. China
| | - Chunling XIAO
- Key Laboratory of Environmental Pollution and Microecology of Liaoning Province, Shenyang Medical College, Shenyang, Liaoning 110034, P.R. China
- Department of Pathogenic Biology, Shenyang Medical College, Shenyang, Liaoning 110034, P.R. China
| | - Jiazhi ZHANG
- Shenyang Environmental Monitoring Center Station, Shenyang, Liaoning 110016, P.R. China
| | - Hong LIN
- Shenyang Environmental Monitoring Center Station, Shenyang, Liaoning 110016, P.R. China
| | - Shuai WANG
- Shenyang Environmental Monitoring Center Station, Shenyang, Liaoning 110016, P.R. China
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Wang Y, Ding Z, Deng C, Guo P, You Y, Li L, Wang Y, Zhang Q. Years of life lost with premature death due to ambient temperatures in a southwest plateau region of China: a cause-specific and individual characteristics stratified mortality study. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2020; 64:1333-1341. [PMID: 32436137 DOI: 10.1007/s00484-020-01912-1] [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: 11/24/2019] [Revised: 03/22/2020] [Accepted: 03/30/2020] [Indexed: 02/05/2023]
Abstract
We aimed to explore whether there were cold and heat temperature adverse effects on years of life lost (YLL) for non-accidental mortality in Yuxi, a southwest plateau region of China. From data for 89,467 non-accidental deaths over an 8-year study period, we used a general linear regression model combined with a distributed lag non-linear model to assess the burden of disease non-accidental mortality due to ambient temperature with the YLL indicator. We estimated the mean YLL change per 1 °C decrease from the 25th to 1st percentile mean temperature as the cold effect and per 1 °C increase from the 75th to 99th percentile as the heat effect. The 95% empirical confidence intervals (eCIs) were calculated by using a bootstrap simulation method. The exposure-response curve between average temperature and YLL was U-shaped. The cold effect peaked at the first day after exposure and disappeared at 2 weeks, and the heat effect only lasted for the first 3 days. A per 1 °C decrease from the 25th to 1st mean temperature percentile was associated with an increase of 15.6 (95% eCI: 2.4, 22.9) in YLL for non-accidental diseases, and the cumulative effects due to cold were stronger in contrast to that attributed by heat. Cold temperature had a significant impact on YLL among the subgroups, with higher YLL in cardiovascular disease, stroke, males, Han nationality, married, and those engaged in agriculture than their corresponding categories. An increasing death burden of non-accidental in Yuxi of China due to cold temperature was demonstrated, and the association was also modified by specific disease causes and individual features.
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Affiliation(s)
- Yujin Wang
- Department of Preventive Medicine, Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Zan Ding
- Department of Science and Education, Baoan Central Hospital of Shenzhen, Shenzhen, 518102, Guangdong, China
| | - Changyu Deng
- Department of Preventive Medicine, Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Pi Guo
- Department of Preventive Medicine, Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Yingbin You
- Department of Preventive Medicine, Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Liujiu Li
- Yuxi Center for Disease Control and Prevention, Yuxi, 653000, Yunnan, China
| | - Yanfang Wang
- Yuxi Center for Disease Control and Prevention, Yuxi, 653000, Yunnan, China
| | - Qingying Zhang
- Department of Preventive Medicine, Shantou University Medical College, Shantou, 515041, Guangdong, China.
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Li J, Yin P, Wang L, Zhang X, Liu J, Liu Y, Zhou M. Ambient ozone pollution and years of life lost: Association, effect modification, and additional life gain from a nationwide analysis in China. ENVIRONMENT INTERNATIONAL 2020; 141:105771. [PMID: 32402982 DOI: 10.1016/j.envint.2020.105771] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 04/07/2020] [Accepted: 04/25/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Ozone is one of the dominant air pollutants due to its impact on disease burden and increasing trend in concentration. However, evidence regarding short-term effect of ozone on years of life lost (YLL) is scarce. METHODS A national time-series study was conducted in 48 large Chinese cities from 2013 to 2017. Generalized additive model coupled with random effects model were used to estimate national-average associations of ozone with YLL. Potential modifiers and additional life gain due to avoidable YLL under certain scenario were also evaluated. RESULTS The average annual mean ozone concentration of these cities was 86.9 μg/m3. For 10 μg/m3 increase in 3-day moving average ozone concentration, we estimated 0.37% [95% confidence interval (CI): 0.29%, 0.46%] increase in YLL from nonaccidental causes, 0.38% (95% CI: 0.30%, 0.46%) increase in YLL from cardiovascular diseases, and 0.36% (95% CI: 0.16%, 0.56%) increase in YLL from respiratory diseases. Moreover, the associations were more evident in people with less education and in cities with lower carbon monoxide concentration or those located at north region with lower mean temperature. Finally, an estimated life of 0.055 (95% CI: 0.043, 0.068) years would be gained per deceased people if ozone concentration could fall to 100 μg/m3. CONCLUSIONS Our findings indicated robust associations between short-term exposure to ozone and YLL from nonaccidental causes and cardiopulmonary diseases. Relevant intervention design should take the heterogeneity of both individual- and city-level characteristics into account. Implementation of more stringent standard is beneficial for alleviating YLL caused by ozone.
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Affiliation(s)
- Jie Li
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiao Zhang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiangmei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yunning Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
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12
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Temporal variations in ambient air quality indicators in Shanghai municipality, China. Sci Rep 2020; 10:11350. [PMID: 32647237 PMCID: PMC7347849 DOI: 10.1038/s41598-020-68201-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 06/19/2020] [Indexed: 11/08/2022] Open
Abstract
Official data on daily PM2.5, PM10, SO2, NO2, CO, and maximum 8-h average O3 (O3_8h) concentrations from January 2015 to December 2018 were evaluated and air pollution status and dynamics in Shanghai municipality were examined. Factors affecting air quality, including meteorological factors and socio-economic indicators, were analyzed. The main findings were that: (1) Overall air quality status in Shanghai municipality has improved and number of days meeting 'Chinese ambient air quality standards' (CAAQS) Grade II has increased. (2) The most frequent major pollutant in Shanghai municipality is O3 (which exceeded the standard on 110 days in 2015, 84 days in 2016, 126 days in 2017, 113 days in 2018), followed by PM2.5 (120days in 2015, 104 days in 2016, 67 days in 2017, 61 days in 2018) and NO2 (50 days in 2015, 67 days in 2016, 79 days in 2017, 63 days in 2018). (3) PM2.5 pollution in winter and O3 pollution in summer are the main air quality challenges in Shanghai municipality. (4) Statistical analysis suggested that PM2.5, PM10, SO2 and NO2 concentrations were significantly negatively associated with precipitation (Prec) and atmosphere temperature (T) (p < 0.05), while the O3 concentration was significantly positively associated with Prec and T (p < 0.05). Lower accumulation of PM, SO2, NO2, and CO and more serious O3 pollution were revealed during months with higher temperature and more precipitation in Shanghai. The correlation between the socio-economic factors and the air pollutants suggest that further rigorous measures are needed to control PM2.5 and that further studies are needed to identify O3 formation mechanisms and control strategies. The results provide scientific insights into meteorological factors and socio-economic indicators influencing air pollution in Shanghai.
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Hwang JS, Hu TH. Later-Life Exposure to Moderate PM 2.5 Air Pollution and Life Loss of Older Adults in Taiwan. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17061873. [PMID: 32183123 PMCID: PMC7143176 DOI: 10.3390/ijerph17061873] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 03/09/2020] [Accepted: 03/10/2020] [Indexed: 11/16/2022]
Abstract
Background: Few studies have directly estimated expected life loss attributable to lifetime exposure to fine particulate matter (PM2.5). Methods: We used claims data from Taiwan’s National Health Insurance to create 63 study cohorts of 1.91 million residents aged 60–79 years old residing in small areas where air quality monitoring stations are situated. The survival status of each person was followed from 2001 to 2016. We applied an extrapolation algorithm to estimate the lifetime survival function so that we could directly estimate life expectancy (LE) and the lifetime exposure to PM2.5 of each cohort. We estimated the association between LE and lifetime exposure to PM2.5 among the 63 cohorts. We also fit a Cox proportional hazards model to all the data combined to estimate the relative risk of mortality. Results: Older adults who lived in an area with a higher lifetime weighted average PM2.5 of 10 μg/m3 had a shortened LE by 0.34 (95% CI: 0.22–0.46) years. The hazard ratio of mortality was 1.0245 (1.0242–1.0248) per one μg/m3 increase in lifetime average PM2.5. Conclusion: This study provides strong evidence that later-life exposure to moderate PM2.5 air pollution had a substantial impact on the life loss of older adults.
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Li H, Duan D, Xu J, Feng X, Astell-Burt T, He T, Xu G, Zhao J, Zhang L, You D, Han L. Ambient air pollution and risk of type 2 diabetes in the Chinese. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:16261-16273. [PMID: 30977004 DOI: 10.1007/s11356-019-04971-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2018] [Accepted: 03/22/2019] [Indexed: 06/09/2023]
Abstract
We performed a time series analysis to investigate the potential association between exposure to ambient air pollution and type 2 diabetes (T2D) incidence in the Chinese population. Monthly time series data between 2008 and 2015 on ambient air pollutants and incident T2D (N = 25,130) were obtained from the Environment Monitoring Center of Ningbo and the Chronic Disease Surveillance System of Ningbo. Relative risks (RRs) and 95% confidence intervals (95% CIs) of incident T2D per 10 μg/m3 increases in ambient air pollutants were estimated from Poisson generalized additive models. Exposure to particulate matter < 10 μm (PM10) and sulfur dioxide (SO2) was associated with increased T2D incidence. The relative risks (RRs) of each increment in 10 μg/m3 of PM10 and SO2 were 1.62 (95% CI, 1.16-2.28) and 1.63 (95% CI, 1.12-2.38) for overall participants, whereas for ozone (O3) exposure, the RRs were 0.78 (95% CI, 0.68-0.90) for overall participants, 0.78 (95% CI, 0.69-0.90) for males, and 0.78 (95% CI, 0.67-0.91) for females, respectively. Exposure to PM10 and SO2 is positively associated with T2D incidence, whereas O3 is negatively associated with T2D incidence.
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Affiliation(s)
- Hui Li
- Ningbo Municipal Center for Disease Control and Prevention, Ningbo, 315010, China
| | - Donghui Duan
- Ningbo Municipal Center for Disease Control and Prevention, Ningbo, 315010, China
| | - Jiaying Xu
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Xiaoqi Feng
- Population Wellbeing and Environment Research Lab (Power Lab), Faculty of Social Sciences, University of Wollongong, Wollongong, NSW, 2522, Australia
- Early Start, Faculty of Social Sciences, University of Wollongong, Wollongong, NSW, 2522, Australia
- Menzies Centre for Health Policy, University of Sydney, Sydney, NSW, 2006, Australia
| | - Thomas Astell-Burt
- Population Wellbeing and Environment Research Lab (Power Lab), Faculty of Social Sciences, University of Wollongong, Wollongong, NSW, 2522, Australia
- Early Start, Faculty of Social Sciences, University of Wollongong, Wollongong, NSW, 2522, Australia
- Menzies Centre for Health Policy, University of Sydney, Sydney, NSW, 2006, Australia
| | - Tianfeng He
- Ningbo Municipal Center for Disease Control and Prevention, Ningbo, 315010, China
| | - Guodong Xu
- Department of Preventive Medicine, Medical School of Ningbo University, Ningbo, 315211, China
| | - Jinshun Zhao
- Department of Preventive Medicine, Medical School of Ningbo University, Ningbo, 315211, China
| | - Lina Zhang
- Department of Preventive Medicine, Medical School of Ningbo University, Ningbo, 315211, China
| | - Dingyun You
- School of Public Health, Kunming Medical University, Kunming, China.
| | - Liyuan Han
- Department of Preventive Medicine, Medical School of Ningbo University, Ningbo, 315211, China
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Long-Term Regional Environmental Risk Assessment and Future Scenario Projection at Ningbo, China Coupling the Impact of Sea Level Rise. SUSTAINABILITY 2019. [DOI: 10.3390/su11061560] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Regional environmental risk (RER) denotes potential threats to the natural environment, human health and socioeconomic development caused by specific risks. It is valuable to assess long-term RER in coastal areas with the increasing effects of global change. We proposed a new approach to assess coastal RER considering spatial factors using principal component analysis (PCA) and used a future land use simulation (FLUS) model to project future RER scenarios considering the impact of sea level rise (SLR). In our study, the RER status was classified in five levels as highest, high, medium, low and lowest. We evaluated the 30 m × 30 m gridded spatial pattern of the long-term RER at Ningbo of China by assessing its 1975–2015 history and projecting this to 2020–2050. Our results show that RER at Ningbo has increased substantially over the past 40 years and will slowly increase over the next 35 years. Ningbo’s city center and district centers are exposed to medium-to-highest RER, while the suburban areas are exposed to lowest-to-medium lower RER. Storm surges will lead to strong RER increases along the Ningbo coast, with the low-lying northern coast being more affected than the mountainous southern coast. RER at Ningbo is affected principally by the combined effects of increased human activity, rapid population growth, rapid industrialization, and unprecedented urbanization. This study provides early warnings to support practical regulation for disaster mitigation and environmental protection.
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Zeng Q, Ni Y, Li G, Wang D, Li P, Zheng W, Wang X, Jiang G. The quantitative assessment of the public excess disease burden advanced by inhalable particulate matter under different air quality standard targets in Tianjin, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:6931-6938. [PMID: 30637523 DOI: 10.1007/s11356-019-04123-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Accepted: 01/02/2019] [Indexed: 06/09/2023]
Abstract
Currently, the quantitative assessment of the public excess risk for the update of the air quality guidelines only considered the mortality and morbidity without disease burden indicators. To provide evidences for the update of air quality guidelines and the policy analysis of air control, a simple framework to identify the excess disease burden of PM10 was used in this study. Daily data on PM10, meteorological factors, and deaths were collected in this 10-year (2001-2010) time series study in Tianjin, China. The excess disease burden advanced by PM10 was assessed when the PM10 levels exceeded the expected levels. Generalized additive model was used to estimate the associations of PM10 with mortality and years of life lost (YLL). Our study found that the exposure of PM10 was associated with the increasing of mortality and YLL in different diseases. The excess deaths and YLL of different diseases advanced by PM10 when the PM10 levels exceeded the expected levels were high and showed a decreasing trend from 2001 to 2010. The annual deaths and YLL standardized per million population advanced by PM10 when the annual PM10 levels exceeded the China national ambient air quality secondary standard targets (70 μg/m3) and WHO guideline (20 μg/m3) were 126 persons, 2670 person years and 260 persons, 5449 person years, respectively. This study may provide a simple framework to identify the excess disease burden of PM and provide basic and intuitive evidences to update the air quality guidelines. Furthermore, these findings may also provide decisionmakers with intuitive quantitative information for policymaking and emphasize health considerations in air quality policy discussions.
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Affiliation(s)
- Qiang Zeng
- Tianjin Centers for Disease Control and Prevention, No. 6 Huayue Road, Hedong District, Tianjin, 300011, People's Republic of China
| | - Yang Ni
- Tianjin Centers for Disease Control and Prevention, No. 6 Huayue Road, Hedong District, Tianjin, 300011, People's Republic of China
| | - Guoxing Li
- Department of Occupational and Environmental Health, School of Public Health, Peking University, No. 38 Xueyuan Road, Haidian District, Beijing, 100191, People's Republic of China
| | - Dezheng Wang
- Tianjin Centers for Disease Control and Prevention, No. 6 Huayue Road, Hedong District, Tianjin, 300011, People's Republic of China
| | - Pei Li
- Tianjin Centers for Disease Control and Prevention, No. 6 Huayue Road, Hedong District, Tianjin, 300011, People's Republic of China
| | - Wenlong Zheng
- Tianjin Centers for Disease Control and Prevention, No. 6 Huayue Road, Hedong District, Tianjin, 300011, People's Republic of China
| | - Xin Wang
- Tianjin Centers for Disease Control and Prevention, No. 6 Huayue Road, Hedong District, Tianjin, 300011, People's Republic of China
| | - Guohong Jiang
- Tianjin Centers for Disease Control and Prevention, No. 6 Huayue Road, Hedong District, Tianjin, 300011, People's Republic of China.
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Zhu F, Ding R, Lei R, Cheng H, Liu J, Shen C, Zhang C, Xu Y, Xiao C, Li X, Zhang J, Cao J. The short-term effects of air pollution on respiratory diseases and lung cancer mortality in Hefei: A time-series analysis. Respir Med 2019; 146:57-65. [DOI: 10.1016/j.rmed.2018.11.019] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Revised: 08/18/2018] [Accepted: 11/22/2018] [Indexed: 12/21/2022]
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18
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GUO J, MA M, XIAO C, ZHANG C, CHEN J, LIN H, DU Y, LIU M. Association of Air Pollution and Mortality of Acute Lower Respiratory Tract Infections in Shenyang, China: A Time Series Analysis Study. IRANIAN JOURNAL OF PUBLIC HEALTH 2018; 47:1261-1271. [PMID: 30320000 PMCID: PMC6174054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
BACKGROUND We aimed to evaluate the risk factors of the daily mortality associated with air pollution causing acute lower respiratory tract infections. METHODS We applied a short time series analysis to the air pollution record, meteorological data and 133 non-accidental death data in Shengyang, China, in 2013-2015. After controlling the seasonality, day of week and weather conditions, the group employed an over-dispersed Possion generalized addictive model to discuss the associations among different variables, then performed the stratified analysis according to age, gender, and season. RESULTS Mean concentrations of particulate matter with aerodynamic diameters of < 10 μm (PM10) and < 2.5 μm (PM2.5), sulfur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3) were 122.4, 74.8, 79.4, 47.7, and 86.2 μg/m3, respectively. An increase of 10 μg/m3 in the 8-day moving average concentrations of PM10, PM2.5, SO2, NO2, and O3 corresponded to 0.18% (95% confidence interval [CI]: 0.10%, 0.26%), 0.21% (95% CI: 0.11%, 0.31%), 0.16% (95% CI: 0.04%, 0.30%), 0.43% (95% CI: 0.07%, 0.90%), and 0.10% (95% CI: -0.08%, 0.31%) increase in the daily mortality. The effects of air pollution lasted 9 days (lag 0-8), and they were more statistically significant in the elderly than in other age groups. CONCLUSION These findings clarified the burden of air pollution on the morbidity of acute lower respiratory tract infections and emphasized the urgency of the control and prevention of air pollution and respiratory diseases in China.
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Affiliation(s)
- Jie GUO
- Dept. of Pathogenic Biology, Shenyang Medical College, Shenyang, China, Key Laboratory of Environmental Pollution and Microecology of Liaoning Province, Shenyang, China
| | - Mingyue MA
- Key Laboratory of Environmental Pollution and Microecology of Liaoning Province, Shenyang, China
| | - Chunling XIAO
- Dept. of Pathogenic Biology, Shenyang Medical College, Shenyang, China, Key Laboratory of Environmental Pollution and Microecology of Liaoning Province, Shenyang, China,Corresponding Author:
| | - Chunqing ZHANG
- Shenyang Center for Disease Control and Prevention, Shenyang, China
| | - Jianping CHEN
- Shenyang Center for Disease Control and Prevention, Shenyang, China
| | - Hong LIN
- Shenyang Environmental Monitoring Center Station, Shenyang, China
| | - Yiming DU
- Shenyang Environmental Monitoring Center Station, Shenyang, China
| | - Min LIU
- Shenyang Environmental Monitoring Center Station, Shenyang, China
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Li B, Li S, Xiao C, Zhang C, Chen J, Lin H, Du Y, Liu M. Time series analysis of death of residents with malignant granules in Shenyang, China. Oncol Lett 2018; 16:4507-4511. [PMID: 30214586 PMCID: PMC6126173 DOI: 10.3892/ol.2018.9186] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Accepted: 07/05/2018] [Indexed: 01/01/2023] Open
Abstract
The aim of the study was to find out the association between air pollution and meteorological conditions with the death of residents living in Shenyang due to malignant tumors. Tumor related death data of residents of five urban districts in Shenyang were obtained from Shenyang Center for Disease Control and Prevention. Daily temperature, pressure, wind speed and humidity data of Shenyang from 2010 to 2015 were obtained from Shenyang Meteorological Bureau. Urban air pollution data were obtained from the Shenyang Environmental Monitoring Center Station, Shenyang Environmental Protection Bureau of China. All data were analyzed by the Poisson regression model. During the period from 2010 to 2015, the number of deaths among malignancies in Shenyang was 215,141,000, and the death rate of malignancies in Shenyang was increasing year by year from 2010 to 2015. Mortality rate is higher in men than in women, and mortality rate increased with aging and the highest mortality rate was observed in the 75–80 years age group. Average concentration of aerodynamic diameter of <10 µm particles, the aerodynamic diameter of <2.5 µm particles, sulfur dioxide (SO2) and nitrogen dioxide (NO2) was 122.37, 74.75, 79.36, and 47.65 µg/m3, respectively. After control of confounding factors, it was observed that every 10 µg/m3 increase of PM2.5 is followed by the 0.024% (95% confidence interval: 0.005% and 0.043%) increase of malignant tumor mortality rate. The results show that the increase of air pollution is related to the number of malignant tumors-related deaths in Shenyang, China, and season, sex and age are also influencing factors.
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Affiliation(s)
- Bingyu Li
- Department of Pathogenic Biology, Shenyang Medical College, Shenyang, Liaoning 110034, P.R. China.,Key Laboratory of Environmental Pollution and Microecology of Liaoning Province, Shenyang Medical College, Shenyang, Liaoning 110034, P.R. China
| | - Shuyin Li
- Key Laboratory of Environmental Pollution and Microecology of Liaoning Province, Shenyang Medical College, Shenyang, Liaoning 110034, P.R. China
| | - Chunling Xiao
- Department of Pathogenic Biology, Shenyang Medical College, Shenyang, Liaoning 110034, P.R. China.,Key Laboratory of Environmental Pollution and Microecology of Liaoning Province, Shenyang Medical College, Shenyang, Liaoning 110034, P.R. China
| | - Chunqing Zhang
- Shenyang Center for Disease Control and Prevention, Shenyang, Liaoning 110031, P.R. China
| | - Jianping Chen
- Shenyang Center for Disease Control and Prevention, Shenyang, Liaoning 110031, P.R. China
| | - Hong Lin
- Shenyang Environmental Monitoring Center Station, Shenyang, Liaoning 110016, P.R. China
| | - Yiming Du
- Shenyang Environmental Monitoring Center Station, Shenyang, Liaoning 110016, P.R. China
| | - Min Liu
- Shenyang Environmental Monitoring Center Station, Shenyang, Liaoning 110016, P.R. China
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Dou H, Zhao Y, Chen Y, Zhao Q, Xiao B, Wang Y, Zhang Y, Chen Z, Guo J, Tao L. Development and testing of the reliability and validity of the adolescent haze related knowledge awareness assessment scale (AHRKAAS). BMC Public Health 2018; 18:734. [PMID: 29898700 PMCID: PMC6000920 DOI: 10.1186/s12889-018-5638-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 05/30/2018] [Indexed: 01/24/2023] Open
Abstract
Background Haze leads to many direct serious public health impacts. Understanding haze related knowledge can not only help adolescents organize health protection awareness to prevent the harmful effects that haze has on the body, but also promote their normal growth and development. Methods By considering, as the theoretical basis, the reasons behind the formation of haze and the underlying mechanisms of the diseases that it causes, in addition to also investigating extensive literature references, our research team developed the Adolescent Haze Related Knowledge Awareness Assessment Scale (AHRKAAS-I). After 6 experts reviewed AHRKAAS-I, and 6 adolescents tested the scale, the research team further revised and improved AHRKAAS-I to form AHRKAAS-II. After which, researchers randomly selected 2 districts from the 20 districts of Baoding, and subsequently randomly selected 2 middle schools from these 2 districts. Conducting a stratified cluster sampling method, considering class as a unit, the research team randomly selected 22 classes. Finally, a total of 1100 adolescents were investigated and 1034 valid questionnaires were recovered. By analyzing the data of 1034 valid questionnaires, the researchers tested the reliability and validity of the scale and obtained the final scale (AHRKAAS). Results AHRKAAS Cronbach’s α=0.923, content validity = 0.940, criterion validity = 0.444, and factor cumulative contribution rate = 66.178% by exploratory factor analysis. Using confirmatory factor analysis, Chi square value = 662.780, degrees of freedom = 242, Chi square value/degrees of freedom = 2.739, root-mean-square error of approximation = 0.049, goodness of fit index = 0.929, adjusted goodness of fit index = 0.905, comparative fit index = 0.964, normed fit index = 0.944, and Tueker-Lewis index = 0.955. AHRKAAS consisted of 25 items and 4 dimensions. Conclusion AHRKAAS with a good reliability and validity can be used to assess the cognition level of haze related knowledge among the adolescents, help medical workers and coordinators in schools when conducting targeted behavior interventions. Furthermore, it can be used for health guidance for adolescents relating to the health prevention of haze.
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Affiliation(s)
- Hongzhe Dou
- Affiliated Hospital of Hebei University, No.212 Yuhua East Road, Baoding, 071000, China
| | - Yuejia Zhao
- Affiliated Hospital of Hebei University, No.212 Yuhua East Road, Baoding, 071000, China
| | - Yanhong Chen
- Affiliated Hospital of Hebei University, No.212 Yuhua East Road, Baoding, 071000, China
| | - Qingchun Zhao
- Affiliated Hospital of Hebei University, No.212 Yuhua East Road, Baoding, 071000, China
| | - Bo Xiao
- The NO.5 Hospital of Baoding, No.340 Ruixiang Street, Baoding, 071000, China
| | - Yan Wang
- College of Nursing, Hebei University, No.342 Yuhua East Road, Baoding, 071000, China
| | - Yonghe Zhang
- College of Nursing, Hebei University, No.342 Yuhua East Road, Baoding, 071000, China
| | - Zhiguo Chen
- College of Nursing, Hebei University, No.342 Yuhua East Road, Baoding, 071000, China
| | - Jie Guo
- College of Nursing, Hebei University, No.342 Yuhua East Road, Baoding, 071000, China
| | - Lingwei Tao
- School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmenwai, Beijing, 100069, China.
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Acute effects of air pollution on respiratory disease mortalities and outpatients in Southeastern China. Sci Rep 2018; 8:3461. [PMID: 29472599 PMCID: PMC5823896 DOI: 10.1038/s41598-018-19939-1] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Accepted: 01/10/2018] [Indexed: 11/22/2022] Open
Abstract
The objective of this study was to investigate the potential association between air pollutants and respiratory diseases (RDs). Generalized additive models were used to analyze the effect of air pollutants on mortalities or outpatient visits. The average concentrations of air pollutants in Hangzhou (HZ) were 1.6–2.8 times higher than those in Zhoushan (ZS), except for O3. In a single pollutant model, the increased concentrations of PM2.5, NO2, and SO2 were strongly associated with deaths caused by RD in HZ, while PM2.5 and O3 were associated with deaths caused by RD in ZS. All air pollutants (PM2.5, NO2, SO2, and O3) were strongly associated with outpatient visits for RD in both HZ and ZS. In multiple pollutant models, a significant association was only observed between PM2.5 and the mortality rate of RD patients in both HZ and in ZS. Moreover, strong associations between SO2, NO2, and outpatient visits for RD were observed in HZ and ZS. This study has provided evidence that both the mortality rates and outpatient visits for RD were significantly associated with air pollutants. Furthermore, the results showed that different air pollutant levels lead to regional differences between mortality rates and outpatient visits.
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22
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Liang H, Qiu H, Tian L. Short-term effects of fine particulate matter on acute myocardial infraction mortality and years of life lost: A time series study in Hong Kong. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 615:558-563. [PMID: 28988091 DOI: 10.1016/j.scitotenv.2017.09.266] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Revised: 09/15/2017] [Accepted: 09/25/2017] [Indexed: 06/07/2023]
Abstract
Previous studies have applied years of life lost (YLL) as a complementary indicator to assess the short-term effect of the air pollution on the health burden from all-cause mortality, but sparsely focused on individual diseases such as acute myocardial infraction (AMI). In this study, we aimed to conduct a time-series analysis to evaluate short-term effects of fine particulate matter (PM2.5) on mortality and YLL from AMI in Hong Kong from 2011 to 2015, and explore the potential effect modifiers including sex and age by subgroup analysis. We applied generalized additive Poisson and Gaussian regression model for daily death count and YLL, respectively. We found that 10μg/m3 increment in concentration of PM2.5 lasting for two days (lag01) was associated with a 2.35% (95% CI 0.38% to 4.36%) increase in daily mortality count and a 1.69 (95% CI 0.01 to 3.37) years increase in YLL from AMI. The association between PM2.5 and AMI mortality count was stronger among women and older people than men and young people, respectively. We concluded that acute exposure to PM2.5 may increase the risk of mortality and YLL from AMI in Hong Kong and this effect can be modified by age and gender. These findings add to the evidence base for public health policy formulation and resource allocation.
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Affiliation(s)
- Haiqing Liang
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Hong Qiu
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Linwei Tian
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region.
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23
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The Short-Term Effects of Visibility and Haze on Mortality in a Coastal City of China: A Time-Series Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:ijerph14111419. [PMID: 29156645 PMCID: PMC5708058 DOI: 10.3390/ijerph14111419] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Revised: 11/12/2017] [Accepted: 11/15/2017] [Indexed: 11/16/2022]
Abstract
Few studies have been conducted to investigate the acute health effects of visibility and haze, which may be regarded as proxy indicators of ambient air pollution. We used a distributed lag non-linear model (DLNM) combined with quasi-Poisson regression to estimate the relationship between visibility, haze and mortality in Ningbo, a coastal city of China. We found that the mortality risk of visibility was statistically significant only on the current day, while the risk of haze and PM10 peaked on the second day and could last for three days. When the visibility was less than 10 km, each 1 km decrease of visibility at lag 0 day was associated with a 0.78% (95% CI: 0.22–1.36%) increase in total mortality and a 1.61% (95% CI: 0.39–2.85%) increase in respiratory mortality. The excess risk of haze at lag 0–2 days on total mortality, cardiovascular and respiratory mortality was 7.76% (95% CI: 3.29–12.42%), 7.73% (95% CI: 0.12–15.92%) and 17.77% (95% CI: 7.64–28.86%), respectively. Greater effects of air pollution were observed during the cold season than in the warm season, and the elderly were at higher risk compared to youths. The effects of visibility and haze were attenuated by single pollutants. These findings suggest that visibility and haze could be used as surrogates of air quality where pollutant data are scarce, and strengthen the evidence to develop policy to control air pollution and protect vulnerable populations.
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Zhang Y, Peng M, Yu C, Zhang L. Burden of mortality and years of life lost due to ambient PM 10 pollution in Wuhan, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2017; 230:1073-1080. [PMID: 28764123 DOI: 10.1016/j.envpol.2017.07.053] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Revised: 06/21/2017] [Accepted: 07/17/2017] [Indexed: 06/07/2023]
Abstract
Ambient particulate matter (PM) has been mainly linked with mortality and morbidity when assessing PM-associated health effects. Up-to-date epidemiologic evidence is very sparse regarding the relation between PM and years of life lost (YLL). The present study aimed to estimate the burden of YLL and mortality due to ambient PM pollution. Individual records of all registered deaths and daily data on PM10 and meteorology during 2009-2012 were obtained in Wuhan, central China. Using a time-series study design, we applied generalized additive model to assess the short-term association of 10-μg/m3 increase in PM10 with daily YLL and mortality, adjusting for long-term trend and seasonality, mean temperature, relative humidity, public holiday, and day of the week. A linear-no-threshold dose-response association was observed between daily ambient PM10 and mortality outcomes. PM10 pollution along lag 0-1 days was found to be mostly strongly associated with mortality and YLL. The effects of PM10 on cause-specific mortality and YLL showed generally similar seasonal patterns, with stronger associations consistently occurring in winter and/or autumn. Compared with males and younger persons, females and the elderly suffered more significantly from both increased YLL and mortality due to ambient PM10 pollution. Stratified analyses by education level (0-6 and 7 + years) demonstrated great mortality impact on both subgroups, whereas only low-educated persons were strongly affected by PM10-associated burden of YLL. Our study confirmed that short-term PM10 exposure was linearly associated with significant increases in both mortality incidence and years of life lost. Given the non-threshold adverse effects on mortality burden, the on-going efforts to reduce particulate air pollution would substantially benefit public health in China.
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Affiliation(s)
- Yunquan Zhang
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, 185 Donghu Road, Wuhan 430071, China.
| | - Minjin Peng
- Department of Infection Control, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China.
| | - Chuanhua Yu
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, 185 Donghu Road, Wuhan 430071, China; Global Health Institute, Wuhan University, 8 Donghunan Road, Wuhan 430072, China.
| | - Lan Zhang
- Office of Chronic Disease, Hubei Provincial Center for Disease Control and Prevention, 6 Zhuodaoquan Road, Wuhan 430079, China.
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25
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Zhang C, Ding R, Xiao C, Xu Y, Cheng H, Zhu F, Lei R, Di D, Zhao Q, Cao J. Association between air pollution and cardiovascular mortality in Hefei, China: A time-series analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2017; 229:790-797. [PMID: 28797522 DOI: 10.1016/j.envpol.2017.06.022] [Citation(s) in RCA: 80] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 06/08/2017] [Accepted: 06/09/2017] [Indexed: 05/05/2023]
Abstract
In recent years, air pollution has become an alarming problem in China. However, evidence on the effects of air pollution on cardiovascular mortality is still not conclusive to date. This research aimed to assess the short-term effects of air pollution on cardiovascular morbidity in Hefei, China. Data of air pollution, cardiovascular mortality, and meteorological characteristics in Hefei between 2010 and 2015 were collected. Time-series analysis in generalized additive model was applied to evaluate the association between air pollution and daily cardiovascular mortality. During the study period, the annual average concentration of PM10, SO2, and NO2 was 105.91, 20.58, and 30.93 μg/m3, respectively. 21,816 people (including 11,876 man, and 14,494 people over 75 years of age) died of cardiovascular diseases. In single pollutant model, the effects of multi-day exposure were greater than single-day exposure of the air pollution. For every increase of 10 μg/m3 in SO2, NO2, and PM10 levels, CVD mortality increased by 5.26% (95%CI: 3.31%-7.23%), 2.71% (95%CI: 1.23%-4.22%), and 0.68% (95%CI: 0.33%-1.04%) at a lag03, respectively. The multi-pollutant models showed that PM10 and SO2 remained associated with CVD mortality, although the effect estimates attenuated. However, the effect of NO2 on CVD mortality decreased to statistically insignificant. Subgroup analyses further showed that women were more vulnerable than man upon air pollution exposure. These findings showed that air pollution could significantly increase the CVD mortality.
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Affiliation(s)
- Chao Zhang
- Department of Occupational Health and Environmental Heath, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Rui Ding
- Department of Occupational Health and Environmental Heath, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Changchun Xiao
- Hefei Centre for Disease Control and Prevention, Hefei, Anhui, China
| | - Yachun Xu
- Department of Occupational Health and Environmental Heath, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Han Cheng
- Department of Occupational Health and Environmental Heath, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Furong Zhu
- Department of Occupational Health and Environmental Heath, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Ruoqian Lei
- Department of Occupational Health and Environmental Heath, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Dongsheng Di
- Department of Preventive Medicine, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Qihong Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Jiyu Cao
- Department of Occupational Health and Environmental Heath, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China.
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26
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Zhang J, Liu Y, Cui LL, Liu SQ, Yin XX, Li HC. Ambient air pollution, smog episodes and mortality in Jinan, China. Sci Rep 2017; 7:11209. [PMID: 28894179 PMCID: PMC5593894 DOI: 10.1038/s41598-017-11338-2] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Accepted: 08/22/2017] [Indexed: 11/09/2022] Open
Abstract
We aimed to assess the acute effects of ambient air pollution and weather conditions on mortality in the context of Chinese smog episodes. A total of 209,321 deaths were recorded in Jinan, a large city in eastern China, during 2011-15. The mean concentrations of daily particulate matter ≤10 μm (PM10), fine particulate matter (PM2.5), sulfur dioxide (SO2) and nitrogen dioxide (NO2) were 169 μg/m3, 100 μg/m3, 77 μg/m3, and 54 μg/m3, respectively. Increases of 10 μg/m3 in PM10, PM2.5, SO2 and NO2 were associated with 1.11% (95% CI 0.96-1.26%), 0.71% (95% CI 0.60-0.82%), 1.69% (95% CI 1.56-1.83%), and 3.12% (95% CI 2.72-3.53%) increases in daily non-accidental mortality rates, respectively. Moreover, the risk estimates for these 4 pollutants were higher in association with respiratory and cardiovascular mortality. The effects of all the evaluated pollutants on mortality were greater in winter than in summer. Smog episodes were associated with a 5.87% (95% CI 0.16-11.58%) increase in the rate of overall mortality. This study highlights the effect of exposure to air pollution on the rate of mortality in China.
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Affiliation(s)
- Jun Zhang
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, 250021, China
| | - Yao Liu
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, 250021, China
| | - Liang-Liang Cui
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, 250021, China
| | - Shou-Qin Liu
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, 250021, China
| | - Xi-Xiang Yin
- Jinan Research Academy of Environmental Sciences, Jinan, Shandong, 250000, China
| | - Huai-Chen Li
- Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, 250021, China.
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27
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Zhang Y, Yu C, Yang J, Zhang L, Cui F. Diurnal Temperature Range in Relation to Daily Mortality and Years of Life Lost in Wuhan, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:ijerph14080891. [PMID: 28786933 PMCID: PMC5580595 DOI: 10.3390/ijerph14080891] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2017] [Revised: 07/11/2017] [Accepted: 07/23/2017] [Indexed: 11/22/2022]
Abstract
Diurnal temperature range (DTR) is an important meteorological indicator associated with global climate change, and has been linked with mortality and morbidity in previous studies. To date, however, little evidence has been available regarding the association of DTR with years of life lost (YLL). This study aimed to evaluate the DTR-related burden on both YLL and mortality. We collected individual records of all registered deaths and daily meteorological data in Wuhan, central China, between 2009 and 2012. For the whole population, every 1 °C increase in DTR at a lag of 0–1 days was associated with an increase of 0.65% (95% CI: 0.08–1.23) and 1.42 years (−0.88–3.72) for mortality and YLL due to non-accidental deaths, respectively. Relatively stronger DTR-mortality/YLL associations were found for cardiovascular deaths. Subgroup analyses (stratified by gender, age, and education level) showed that females, the elderly (75+ years old), and those with higher education attainment (7+ years) suffered more significantly from both increased YLL and mortality due to large DTR. Our study added additional evidence that short-term exposure to large DTR was associated with increased burden of premature death using both mortality incidence and YLL.
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Affiliation(s)
- Yunquan Zhang
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, 185 Donghu Road, Wuhan 430071, China.
| | - Chuanhua Yu
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, 185 Donghu Road, Wuhan 430071, China.
- Global Health Institute, Wuhan University, 8 Donghunan Road, Wuhan 430072, China.
| | - Jin Yang
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, 185 Donghu Road, Wuhan 430071, China.
| | - Lan Zhang
- Office of Chronic Disease, Hubei Provincial Center for Disease Control and Prevention, 6 Zhuodaoquan Road, Wuhan 430079, China.
| | - Fangfang Cui
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, 185 Donghu Road, Wuhan 430071, China.
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28
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Zeng Q, Wu Z, Jiang G, Wu X, Li P, Ni Y, Xiong X, Wang X, Li G, Pan X. The association between ambient inhalable particulate matter and the disease burden of respiratory disease: An ecological study based on ten-year time series data in Tianjin, China. ENVIRONMENTAL RESEARCH 2017; 157:71-77. [PMID: 28525859 DOI: 10.1016/j.envres.2017.05.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Revised: 05/03/2017] [Accepted: 05/04/2017] [Indexed: 06/07/2023]
Abstract
There is limited evidence available worldwide about the quantitative relationship between particulate matter with an aerodynamic diameter of less than 10µm (PM10) and years of life lost (YLL) caused by respiratory diseases (RD), especially regarding long-term time series data. We investigated the quantitative exposure-response association between PM10 and the disease burden of RD. We obtained the daily concentration of ambient pollutants (PM10, nitrogen dioxide and sulphur dioxide), temperature and relative humidity data, as well as the death monitoring data from 2001 to 2010 in Tianjin. Then, a time series database was built after the daily YLL of RD was calculated. We applied a generalized additive model (GAM) to estimate the burden of PM10 on daily YLL of RD and to determine the effect (the increase of daily YLL) of every 10μg/m3 increase in PM10 on health. We found that every 10μg/m3 increase in PM10 was associated with the greatest increase in YLL of 0.84 (95% CI: 0.45, 1.23) years at a 2-day (current day and previous day, lag01) moving average PM10 concentration for RD. The association between PM10 and YLL was stronger in females and the elderly (≥65 years of age). The association between PM10 and YLL of RD differed according to district. These findings also provide new epidemiological evidence for respiratory disease prevention.
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Affiliation(s)
- Qiang Zeng
- Tianjin Centers for Disease Control and Prevention, China.
| | - Ziting Wu
- Department of Occupational and Environmental Health, Peking University, China.
| | - Guohong Jiang
- Tianjin Centers for Disease Control and Prevention, China.
| | - Xiaoyin Wu
- Department of Occupational and Environmental Health, Peking University, China.
| | - Pei Li
- Tianjin Centers for Disease Control and Prevention, China.
| | - Yang Ni
- Tianjin Centers for Disease Control and Prevention, China.
| | - Xiuqin Xiong
- Department of Occupational and Environmental Health, Peking University, China.
| | - Xinyan Wang
- Department of Occupational and Environmental Health, Peking University, China.
| | - Guoxing Li
- Department of Occupational and Environmental Health, Peking University, China.
| | - Xiaochuan Pan
- Department of Occupational and Environmental Health, Peking University, China.
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29
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Sun J, Barnes AJ, He D, Wang M, Wang J. Systematic Review and Meta-Analysis of the Association between Ambient Nitrogen Dioxide and Respiratory Disease in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:E646. [PMID: 28621760 PMCID: PMC5486332 DOI: 10.3390/ijerph14060646] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2017] [Revised: 06/07/2017] [Accepted: 06/14/2017] [Indexed: 11/16/2022]
Abstract
Objective: This study aimed to assess the quantitative effects of short-term exposure of ambient nitrogen dioxide (NO₂) on respiratory disease (RD) mortality and RD hospital admission in China through systematic review and meta-analysis. Methods: A total of 29 publications were finally selected from searches in PubMed, Web of Science, CNKI and Wanfang databases. Generic inverse variance method was used to pool effect estimates. Pooled estimates were used to represent the increased risk of RD mortality and RD hospital admission per 10 μg/m³ increase in NO₂ concentration. Results: Positive correlations were found between short-term NO₂ exposure and RD in China. RD mortality and RD hospital admission respectively increased by 1.4% (95% CI: 1.1%, 1.7%) and 1.0% (95% CI: 0.5%, 1.5%) per 10 μg/m³ increase in NO₂ concentration. Differences were observed across geographic regions of China. The risk of RD mortality due to NO₂ was higher in the southern region (1.7%) than in the north (0.7%). Conclusions: Evidence was found that short-term exposure to NO₂ was associated with an increased risk of RD mortality and RD hospital admission in China and these risks were more pronounced in the southern regions of the country, due in part to a larger proportion of elderly persons with increased susceptibility to NO₂ in the population compared with the north.
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Affiliation(s)
- Jiyao Sun
- School of Health Care Management, Shandong University, Key Laboratory of Health Economics and Policy Research, National Health and Family Planning Commission of People's Republic of China (NHFPC), Shandong University, 44 West Wenhua Road, Jinan 250012, China.
| | - Andrew J Barnes
- Department of Health Behavior and Policy, School of Medicine, Virginia Commonwealth University, 830 E Main St., Richmond, VA 23219, USA.
| | - Dongyang He
- School of Health Care Management, Shandong University, Key Laboratory of Health Economics and Policy Research, National Health and Family Planning Commission of People's Republic of China (NHFPC), Shandong University, 44 West Wenhua Road, Jinan 250012, China.
| | - Meng Wang
- School of Health Care Management, Shandong University, Key Laboratory of Health Economics and Policy Research, National Health and Family Planning Commission of People's Republic of China (NHFPC), Shandong University, 44 West Wenhua Road, Jinan 250012, China.
| | - Jian Wang
- School of Health Care Management, Shandong University, Key Laboratory of Health Economics and Policy Research, National Health and Family Planning Commission of People's Republic of China (NHFPC), Shandong University, 44 West Wenhua Road, Jinan 250012, China.
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30
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Li G, Huang J, Xu G, Pan X, Qian X, Xu J, Zhao Y, Zhang T, Liu Q, Guo X, He T. The short term burden of ambient fine particulate matter on chronic obstructive pulmonary disease in Ningbo, China. Environ Health 2017; 16:54. [PMID: 28587653 PMCID: PMC5461635 DOI: 10.1186/s12940-017-0253-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2016] [Accepted: 05/01/2017] [Indexed: 05/26/2023]
Abstract
BACKGROUND Numerous studies have found associations between ambient fine particulate matter (PM2.5) and increased mortality risk. However, little evidence is available on associations between PM2.5 and years of life lost (YLL). We aimed to estimate the YLL due to chronic obstructive pulmonary disease (COPD) mortality related to ambient PM2.5 exposure. METHODS A time-series study was conducted based on the data on air pollutants, meteorological conditions and 18,472 registered COPD deaths in Ningbo, China, 2011-2015. The effects of PM2.5 on YLL and daily death of COPD were estimated, after controlling long term trend, meteorological index and other confounders. RESULTS The impact of PM2.5 on YLL due to COPD lasted for 5 days (lag 0-4). Per 10 μg/m3 increase in PM2.5 was associated with 0.91 (95%CI: 0.16, 1.66) years increase in YLL. The excess YLL of COPD mortality were 8206 years, and 0.38 day per person in Ningbo from 2011 to 2015. The exposure-response curve of PM2.5 and YLL due to COPD showed a non-linear pattern, with relatively steep at low levels and flattened out at higher exposures.. Furthermore, the effects were significantly higher in the elderly than those in the younger. CONCLUSIONS Our findings explored burden of PM2.5 on YLL due to COPD and highlight the importance and urgency of ambient PM2.5 pollution control and protection of the vulnerable populations.
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Affiliation(s)
- Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Beijing, 100191 China
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Beijing, 100191 China
| | - Guozhang Xu
- Ningbo Municipal Center for Disease Control and Prevention, Haishu District, 237 Yongfeng Road, Ningbo, 315010 China
| | - Xiaochuan Pan
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Beijing, 100191 China
| | - Xujun Qian
- Ningbo First Hospital, 59 Liuting Street, Ningbo, 315010 China
| | - Jiaying Xu
- Tulan University, 6823 St. Charles Avenue, New Orleans, LA 70118 USA
| | - Yan Zhao
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Beijing, 100191 China
| | - Tao Zhang
- Ningbo Municipal Center for Disease Control and Prevention, Haishu District, 237 Yongfeng Road, Ningbo, 315010 China
| | - Qichen Liu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Beijing, 100191 China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Beijing, 100191 China
| | - Tianfeng He
- Ningbo Municipal Center for Disease Control and Prevention, Haishu District, 237 Yongfeng Road, Ningbo, 315010 China
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31
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Li Z, Wen Q, Zhang R. Sources, health effects and control strategies of indoor fine particulate matter (PM 2.5): A review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 586:610-622. [PMID: 28216030 DOI: 10.1016/j.scitotenv.2017.02.029] [Citation(s) in RCA: 81] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Revised: 02/04/2017] [Accepted: 02/04/2017] [Indexed: 05/21/2023]
Abstract
Indoor air quality is directly influenced by indoor PM2.5. Short-term and long-term exposure of PM2.5 in the micro environment would severely detriment the health of both humans and animals. The researches both at home and abroad dating from 2000 were analyzed and summarized mainly in the following 3 sections: source apportionment, health effects and control methods. Health effects were illustrated in both epidemiology and toxicology. The epidemiology was explicated in morbidity and mortality, the toxicology was illuminated in inflammatory reaction, oxidative stress, genotoxicity, mutagenicity and carcinogenicity. Control methods were showed in two aspects (sources and means of transmission), of which each was resolved by corresponding control strategy. Abundant investigations indicated that comprehensive control strategies were needed for sources decrement and health burden mitigation of indoor PM2.5. Based on the increasingly wide research of indoor PM2.5, the concept of indoors was essentially expanded, and on the basis of the summary of all the aspects mentioned above, both the scope and depth of indoor PM2.5 research were found insufficiently. Meantime, the potential direction of development in indoor PM2.5 research were projected, in hope of contributing to further relevant study of engineers in ambient environment and building environment.
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Affiliation(s)
- Zhisheng Li
- School of Civil and Transportation Engineering, Guangdong University of Technology, NO. 100 Outer ring Road, Guangzhou, Guangdong, China
| | - Qingmei Wen
- School of Civil and Transportation Engineering, Guangdong University of Technology, NO. 100 Outer ring Road, Guangzhou, Guangdong, China.
| | - Ruilin Zhang
- School of Electro-mechanical Engineering, Guangdong University of Technology, NO. 100 Outer ring Road, Guangzhou, Guangdong, China
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32
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The impacts of air pollution on maternal stress during pregnancy. Sci Rep 2017; 7:40956. [PMID: 28098225 PMCID: PMC5241869 DOI: 10.1038/srep40956] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Accepted: 12/13/2016] [Indexed: 01/12/2023] Open
Abstract
To investigate the association of air pollution with maternal stress during pregnancy, we enrolled 1,931 women during mid-to-late pregnancy in Shanghai in 2010. The “Life-Event Scale for Pregnant Women” and “Symptom-Checklist-90-Revised Scale” (SCL-90-R) were used to evaluate life event stress and emotional stress, respectively. Air pollution data were collected for each district where pregnant women lived during pregnancy. We associated ambient air pollution with stress scores using multivariable logistic regression models. After adjusting for relevant covariates, an interquartile-range (IQR) increase in sulphur-dioxide (SO2) (OR = 1.30, 95% CI: 1.11–1.52) and particulate-matter with an aerodynamic-diameter <10 μm (PM10) (OR = 1.16, 95% CI: 1.02–1.34) concentrations on the recruitment day, and in the 5-day moving average concentrations of nitrogen-dioxide (NO2) (OR = 1.34, 95% CI: 1.05–1.70) were associated with high Global-Severity-Indices (P75-P100) of the SCL-90-R. These associations were stronger among women bearing high levels (P25-P100) of air pollutants than among women experiencing low levels (P1-P25) of pollutants. The stronger associations and higher levels of pollutants were observed in the cool season than in the warm season. SO2 increases on the recruitment day were also associated with an increased risk of high depression scores (P75-P100). Our findings supported a dose-dependent association between air pollution and emotional stress during pregnancy.
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Niu Y, Chen R, Kan H. Air Pollution, Disease Burden, and Health Economic Loss in China. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2017; 1017:233-242. [DOI: 10.1007/978-981-10-5657-4_10] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
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Zeng Q, Ni Y, Jiang G, Li G, Pan X. The short term burden of ambient particulate matters on non-accidental mortality and years of life lost: A ten-year multi-district study in Tianjin, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2017; 220:713-719. [PMID: 27769772 DOI: 10.1016/j.envpol.2016.10.036] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Revised: 10/10/2016] [Accepted: 10/10/2016] [Indexed: 05/07/2023]
Abstract
Years of life lost (YLL) is a more informative and accurate indicator than daily death counts for assessing air pollution related premature death. However, there is limited evidence available about the relationship of air pollution with YLL, especially in China. We conducted a ten-year (from January 1st, 2001 to December 31st, 2010) multi-district time-series study to estimate the effects of ambient particulate matter with an aerodynamic diameter of less than 10 μm in size (PM10) on daily non-accidental deaths and YLL in six districts of Tianjin, China. Meta-analysis was used to merge the results of the six districts. We found that the increase of PM10 was significantly associated with daily death and YLL in the six districts, except with the YLL in Heping district. 10 μg/m3 increases in PM10 were associated with the maximum increases in excess risk (ER) of death counts of 0.33% (95% confidence interval [CI]: 0.25%, 0.41%) at lag01 and in YLL of 0.80 (95%CI: 0.47, 1.13) person year at lag01 for the combined effects of six districts, respectively. Moreover, the associations of PM10 on daily death counts and YLL were stronger in the elder people (≥65 years) than those in the younger ones (<65 years). These findings may help to shed light on the policy-making of PM-control in China and provide useful information for the protection of susceptible population.
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Affiliation(s)
- Qiang Zeng
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, PR China
| | - Yang Ni
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, PR China
| | - Guohong Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, PR China
| | - Guoxing Li
- Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing 100191, PR China.
| | - Xiaochuan Pan
- Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing 100191, PR China
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Drivers of U.S. toxicological footprints trajectory 1998-2013. Sci Rep 2016; 6:39514. [PMID: 28000739 PMCID: PMC5175177 DOI: 10.1038/srep39514] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Accepted: 11/24/2016] [Indexed: 11/17/2022] Open
Abstract
By exploiting data from the Toxic Release Inventory of the United States, we have established that the toxicological footprint (TF) increased by 3.3% (88.4 Mt) between 1998 and 1999 and decreased by 39% (1088.5 Mt) between 1999 and 2013. From 1999 to 2006, the decreasing TF was driven by improvements in emissions intensity (i.e. gains in production efficiency) through toxic chemical management options: cleaner production; end of pipe treatment; transfer for further waste management; and production scale. In particular, the mining sector reduced its TF through outsourcing processes. Between 2006 and 2009, decreasing TF was due to decrease in consumption volume triggered by economic recession. Since 2009, the economic recovery increased TF, overwhelming the influence of improved emissions intensity through population growth, consumption and production structures. Accordingly, attaining a less-toxic economy and environment will be influenced by a combination of gains in production efficiency through improvement in emissions mitigation technologies and changes in consumption patterns. Overall, the current analysis highlights the structural dynamics of toxic chemical release and would inform future formulation of effective mitigation standards and management protocols towards the detoxification of the environment.
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Yang J, Ou CQ, Song YF, Li L, Chen PY, Liu QY. Estimating years of life lost from cardiovascular mortality related to air pollution in Guangzhou, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 573:1566-1572. [PMID: 27613670 DOI: 10.1016/j.scitotenv.2016.09.014] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Revised: 08/31/2016] [Accepted: 09/02/2016] [Indexed: 06/06/2023]
Abstract
Previous studies have mainly used mortality or morbidity as the health outcome to examine the air pollution-health association. Little evidence is available on relationships between air pollutants and years of life lost (YLL). We aimed to estimate the YLL from cardiovascular mortality due to air pollution. Daily data on weather and air pollutants and individual data of all registered deaths for years 2004-2007 were obtained in Guangzhou, China. The generalized additive model was used to assess the YLL associated with 10μg/m3 increases in NO2, SO2 and PM10. We found that the mean daily YLL was 248, 87.5 and 73.7 for deaths from cardiovascular disease (CVD), stroke and ischemic heart disease (IHD), respectively. A significant linear correlation was observed between air pollution and YLL due to cardiovascular disease. The effects of air pollutants on YLL were immediate and lasted for two days. A 10μg/m3 increase above the corresponding threshold of 55.6μg/m3, 40.4μg/m3 and 0μg/m3 in NO2, PM10 and SO2 was related to YLL increase of 1.8 (95% CI: 0.8-2.9), 2.8 (1.7-3.8) and 2.6 (1.2-4.0) years at lag 0-1days for CVD, respectively. The estimates of YLL associated with NO2 and PM10 were higher in men than women. The air pollutants-related YLL was higher among young people and those with low education level, compared to the elderly and those with high education level, respectively. These findings confirmed YLL provides a complementary strategy for assessing the health effect of air pollution. This study underscores the necessity of the reduction of air pollution benefiting public health.
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Affiliation(s)
- Jun Yang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.
| | - Chun-Quan Ou
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.
| | - Yu-Feng Song
- Intensive Care Unit, Guangdong No. 2 Provincial People's Hospital, Guangzhou 510317, China.
| | - Li Li
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.
| | - Ping-Yan Chen
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.
| | - Qi-Yong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
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