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Xu C, Yin P, Jiang Y, Lin X, Shi S, Li X, Chen J, Jiang Y, Meng X, Zhou M. Joint Effect of Short-Term Exposure to Fine Particulate Matter and Ozone on Mortality: A Time Series Study in 272 Chinese Cities. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:12865-12874. [PMID: 38995089 DOI: 10.1021/acs.est.3c10951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/13/2024]
Abstract
Short-term exposure to PM2.5 or O3 can increase mortality risk; however, limited studies have evaluated their interaction. A multicity time series study was conducted to investigate the synergistic effect of PM2.5 and O3 on mortality in China, using mortality data and high-resolution pollutant predictions from 272 cities in 2013-2015. Generalized additive models were applied to estimate associations of PM2.5 and O3 with mortality. Modification and interaction effects were explored by stratified analyses and synergistic indexes. Deaths attributable to PM2.5 and O3 were evaluated with or without modification of the other pollutant. The risk of total nonaccidental mortality increased by 0.70% for each 10 μg/m3 increase in PM2.5 when O3 levels were high, compared to 0.12% at low O3 levels. The effect of O3 on total nonaccidental mortality at high PM2.5 levels (1.26%) was also significantly higher than that at low PM2.5 levels (0.59%). Similar patterns were observed for cardiovascular or respiratory diseases. The relative excess risk of interaction and synergy index of PM2.5 and O3 on nonaccidental mortality were 0.69% and 1.31 with statistical significance, respectively. Nonaccidental deaths attributable to short-term exposure of PM2.5 or O3 when considering modification of the other pollutant were 28% and 31% higher than those without considering modification, respectively. Our results found synergistic effects of short-term coexposure to PM2.5 and O3 on mortality and suggested underestimations of attributable risks without considering their synergistic effects.
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Affiliation(s)
- Chang Xu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200433, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yixuan Jiang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200433, China
| | - Xiaolei Lin
- School of Data Science, Fudan University, Shanghai 200433, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200433, China
| | - Xinyue Li
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200433, China
| | - Jiaxin Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200433, China
| | - Yichen Jiang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200433, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200433, China
- Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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Hu W, Yang J. Effect of ambient ozone pollution on disease burden globally: A systematic analysis for the global burden of disease study 2019. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:171739. [PMID: 38508259 DOI: 10.1016/j.scitotenv.2024.171739] [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: 01/28/2024] [Revised: 03/11/2024] [Accepted: 03/14/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND Exposure to ambient ozone pollution causes health loss and even death, and both are the main risk factors for the disease burden worldwide. We comprehensively evaluated the ozone pollution-related disease burden. METHODS First, numbers and age-standardized rates of deaths and disability-adjusted life years (DALYs) were assessed globally and by sub-types in 2019. Furthermore, the temporal trend of the disease burden was explored by the linear regression model from 1990 to 2019. The cluster analysis was used to evaluate the changing pattern of related disease burden across Global Burden of Disease Study (GBD) regions. Finally, the age-period-cohort (APC) model and the Bayesian age-period-cohort (BAPC) model were used to predict the future disease burden in the next 25 years. RESULT Exposure to ozone pollution contributed to 365,222 deaths and 6,210,145 DALYs globally in 2019, which accounted for 0.65 % of deaths globally and 0.24 % of DALYs globally. The disease burden was consistently increasing with age. Males were high-risk populations and low-middle socio-demographic index (SDI) regions were high-risk areas. The disease burden of ozone pollution varied considerably across the GBD regions and the countries. In 2019, the number of deaths and DALYs cases increased by 76.11 % and 56.37 %, respectively compared to those in 1990. The predicted results showed that the number of deaths cases and DALYs cases for both genders would still increase from 2020 to 2044. CONCLUSION In conclusion, ambient ozone pollution has threatened public health globally. More proactive and effective strategic measures should be developed after considering global-specific circumstances.
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Affiliation(s)
- Wan Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Junnan Yang
- School of Public Health, BengBu Medical University, 2600 Donghai Avenue, Bengbu, Anhui 233030, China.
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Noël A, Harmon AC, Subramanian B, Perveen Z, Aryal A, Legendre K, Zaman H, Paulsen DB, Varner KJ, Dugas TR, Penn AL. Adjuvant effect of inhaled particulate matter containing free radicals following house-dust mite induction of asthma in mice. Inhal Toxicol 2023; 35:333-349. [PMID: 38060410 PMCID: PMC10903547 DOI: 10.1080/08958378.2023.2289024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 11/18/2023] [Indexed: 12/18/2023]
Abstract
INTRODUCTION Exposures to particulate matter (PM) from combustion sources can exacerbate preexisting asthma. However, the cellular and molecular mechanisms by which PM promotes the exacerbation of asthma remain elusive. We used a house dust mite (HDM)-induced mouse model of asthma to test the hypothesis that inhaled DCB230, which are PM containing environmentally persistent free radicals (EPFRs), will aggravate asthmatic responses. METHODS Groups of 8-10-week-old C57BL/6 male mice were exposed to either air or DCB230 aerosols at a concentration of 1.5 mg/m3 4 h/day for 10 days with or without prior HDM-induction of asthma. RESULTS Aerosolized DCB230 particles formed small aggregates (30-150 nm). Mice exposed to DCB230 alone showed significantly reduced lung tidal volume, overexpression of the Muc5ac gene, and dysregulation of 4 inflammation related genes, Ccl11, Ccl24, Il-10, and Tpsb2. This suggests DCB230 particles interacted with the lung epithelium inducing mucous hypersecretion and restricting lung volume. In addition to reduced lung tidal volume, compared to respective controls, the HDM + DCB230-exposed group exhibited significantly increased lung tissue damping and up-regulated expression of Muc5ac, indicating that in this model, mucous hypersecretion may be central to pulmonary dysfunction. This group also showed augmented lung eosinophilic inflammation accompanied by an up-regulation of 36 asthma related genes. Twelve of these genes are part of IL-17 signaling, suggesting that this pathway is critical for DCB230 induced toxicity and adjuvant effects in lungs previously exposed to HDM. CONCLUSION Our data indicate that inhaled DCB230 can act as an adjuvant, exacerbating asthma through IL-17-mediated responses in a HDM mouse model.
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Affiliation(s)
- Alexandra Noël
- Department of Comparative Biomedical Sciences, Louisiana State University, Baton Rouge, LA
| | - Ashlyn C. Harmon
- Department of Comparative Biomedical Sciences, Louisiana State University, Baton Rouge, LA
| | | | - Zakia Perveen
- Department of Comparative Biomedical Sciences, Louisiana State University, Baton Rouge, LA
| | - Ankit Aryal
- Department of Comparative Biomedical Sciences, Louisiana State University, Baton Rouge, LA
| | - Kelsey Legendre
- Department of Pathobiological Sciences, Louisiana State University, Baton Rouge, LA
| | - Hasan Zaman
- Department of Comparative Biomedical Sciences, Louisiana State University, Baton Rouge, LA
| | - Daniel B. Paulsen
- Department of Pathobiological Sciences, Louisiana State University, Baton Rouge, LA
| | - Kurt J. Varner
- Department of Pharmacology and Experimental Therapeutics, LSU Health Sciences Center, New Orleans, LA
| | - Tammy R. Dugas
- Department of Comparative Biomedical Sciences, Louisiana State University, Baton Rouge, LA
| | - Arthur L. Penn
- Department of Comparative Biomedical Sciences, Louisiana State University, Baton Rouge, LA
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Yu D, Lee SB, Chen S, Kim SW, Xi S. Coupling the effects of extreme temperature and air pollution on non-accidental mortality in Rencheng, China. Front Public Health 2023; 11:1241385. [PMID: 37601203 PMCID: PMC10435991 DOI: 10.3389/fpubh.2023.1241385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 07/13/2023] [Indexed: 08/22/2023] Open
Abstract
Background Extreme temperatures and air pollution have raised widespread concerns about their impact on population health. Aim To explore the quantitative exposure risks of high/low temperatures and types of air pollutants on the health of various populations in urban areas in China, this study assessed the effects of temperature and air pollutants on daily non-accidental deaths in Rencheng District, Jining City, China from 2019 to 2021. Methods A combination of Poisson regression models and distributed lag non-linear models was used to examine the relationships between temperature, air pollutants, and daily non-accidental deaths. We found that temperature and air pollutants had a significant non-linear effect on non-accidental mortality. Both high and low temperatures had a noticeable impact on non-accidental deaths, with heat effects occurring immediately and lasting 2-3 days, while cold effects lasted for 6-12 days. The relative risks of non-accidental deaths from PM2.5, NO2, and SO2 were highest in winter and lowest in autumn. The relative risk of non-accidental deaths from O3 was highest in spring, with no significant variations in other seasons. Older adults (≥75) and outdoor workers were at the greatest risk from temperature and air pollutant exposure. Conclusions/interpretation Exposure to extreme temperatures and air pollutants in the Rencheng District was associated with an increased mortality rate. Under the influence of climate change, it is necessary for policymakers to take measures to reduce the risk of non-accidental deaths among residents.
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Affiliation(s)
- Daozheng Yu
- School of Resources and Environmental Science, Hubei University, Wuhan, China
| | - Soo-Beom Lee
- Department of Transportation Engineering, University of Seoul, Seoul, Republic of Korea
| | - Si Chen
- School of Resources and Environmental Science, Hubei University, Wuhan, China
| | - Seong Wook Kim
- Department of Mathematical Data Sciences, Hanyang University, Ansan, Republic of Korea
| | - Shuaishuai Xi
- Center for Disease Control and Prevention, Rengcheng, Jining, China
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Hua Y, Li Y, Zhou J, Fan L, Huang F, Wu Z, Xue H, Yang B, Chen P, Rui Y, Tian Y, Moayyeri A, Libanati C, Du W. Mortality following fragility hip fracture in China: a record linkage study. Arch Osteoporos 2023; 18:105. [PMID: 37498371 DOI: 10.1007/s11657-023-01304-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 07/03/2023] [Indexed: 07/28/2023]
Abstract
Mortality risk declined over time. Patients with fragility hip fracture experienced an approximate ninefold excess mortality, peaking shortly after fracture, in comparison with that of the general population. Continuous efforts in lowering the occurrence of hip fracture have the potential to improve the survival of the elderly population in China. PURPOSE Hip fractures in older adults often lead to an elevated risk of death. However, few studies investigated mortality risk following hip fracture in mainland China. This retrospective cohort study aimed to evaluate the crude mortality and excess mortality after fragility hip fractures in Lishui residents aged 50 years and older. METHODS Patients having a fragility hip fracture between October 2013 and August 2019 were identified from the Lishui District Inpatient Data Collection and followed up until August 2020. Death information was ascertained from the linked death registry records. We calculated the follow-up mortality rate and corresponding 95% confidence intervals (CIs) as well as the standard mortality ratios (SMRs) in comparison with the mortality rates of Lishui residents. RESULTS During the study period, a total of 808 patients (63.4% females) with an average age of 75 years were admitted for fragility hip fractures. The 1st, 2nd, and 3rd year follow-up mortality rates were 16.51, 6.06, and 5.03 per 100 person-year, respectively. The SMRs were 8.46 (6.94, 9.97), 5.74 (4.86, 6.63), and 4.63 (3.98, 5.27) for the 1st, 2nd, and 3rd year following fragility hip fracture. CONCLUSION Although mortality risk declined over time, patients with fragility hip fracture experienced an approximate ninefold excess mortality, peaking shortly after fracture, in comparison with that of the general population. Continuous efforts in lowering the occurrence of hip fracture have the potential to improve the survival of the elderly population in China.
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Affiliation(s)
- Yiwen Hua
- School of Public Health, Southeast University, Gulou District, 87 Dingjiaqiao, Nanjing, 210000, Jiangsu, China
| | - Ying Li
- School of Public Health, Southeast University, Gulou District, 87 Dingjiaqiao, Nanjing, 210000, Jiangsu, China
| | | | - Lijun Fan
- School of Public Health, Southeast University, Gulou District, 87 Dingjiaqiao, Nanjing, 210000, Jiangsu, China
| | - Feng Huang
- School of Public Health, Southeast University, Gulou District, 87 Dingjiaqiao, Nanjing, 210000, Jiangsu, China
| | - Zhanpo Wu
- Department of Trauma Orthopedics, Lishui Renmin Hospital & Zhongda Hospital, Nanjing, China
| | - Hui Xue
- School of Public Health, Southeast University, Gulou District, 87 Dingjiaqiao, Nanjing, 210000, Jiangsu, China
| | - Bingquan Yang
- Department of Trauma Orthopedics, Lishui Renmin Hospital & Zhongda Hospital, Nanjing, China
| | - Ping Chen
- Lishui Smart City Operating Command Center, Nanjing, China
| | - Yunfeng Rui
- Department of Trauma Orthopedics, Lishui Renmin Hospital & Zhongda Hospital, Nanjing, China
| | - Yong Tian
- School of Public Health, Southeast University, Gulou District, 87 Dingjiaqiao, Nanjing, 210000, Jiangsu, China
| | | | | | - Wei Du
- School of Public Health, Southeast University, Gulou District, 87 Dingjiaqiao, Nanjing, 210000, Jiangsu, China.
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Wen B, Wu Y, Ye T, Xu R, Yu W, Yu P, Guo Y, Li S. Short-term exposure to ozone and economic burden of premature mortality in Italy: A nationwide observation study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 241:113781. [PMID: 35772358 DOI: 10.1016/j.ecoenv.2022.113781] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 06/14/2022] [Accepted: 06/15/2022] [Indexed: 06/15/2023]
Abstract
Italy is among the countries with the highest ozone concentration in Europe. However, the mortality burden of ozone and related economic loss has not been fully characterized. This study aimed to estimate the ozone-mortality association in Italy and evaluate attributable mortality burden and related economic loss in 2015-2019. We collected daily all-cause mortality data stratified by age and sex from 2015 to 2019 in 107 provinces of Italy. A two-stage time-series framework was applied to estimate the association between daily maximum eight-hour average ozone and mortality as well as economic loss. An overall increase in the risk of mortality (RR=1.0043, 95% CI: 1.0029, 1.0057) was associated with every 10 µg/m3 increase in ozone. Generally, a total of 70,060 deaths and $65 billion economic loss were attributed to ozone exposure, corresponding to 3.11% of mortality and about 0.5% of the national GDP during the study period, respectively. The highest ozone-related mortality burden (30,910 deaths) and economic loss ($29.24 billion) were observed in the hot season. This nationwide study suggested considerable mortality burden and economic loss were associated with exposure to ozone. More actions and policies should be proposed to reduce ozone levels and help the public protect their health.
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Affiliation(s)
- Bo Wen
- Climate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia
| | - Yao Wu
- Climate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia
| | - Tingting Ye
- Climate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia
| | - Rongbin Xu
- Climate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia
| | - Wenhua Yu
- Climate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia
| | - Pei Yu
- Climate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia
| | - Yuming Guo
- Climate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia.
| | - Shanshan Li
- Climate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia.
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Daily Mortality in Different Age Groups Associated with Exposure to Particles, Nitrogen Dioxide and Ozone in Two Northern European Capitals: Stockholm and Tallinn. ENVIRONMENTS 2022. [DOI: 10.3390/environments9070083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Although the association between air pollution and mortality is well established, less is known about the effects in different age groups. This study analyzes the short-term associations between mortality in different age groups (0–14 years of age, 15–64 years of age, and 65+ years of age) and a number of air pollutants in two relatively clean northern European capitals: Stockholm and Tallinn. The concentrations in PM10 (particles with an aerodynamic diameter smaller than or equal to 10 µm), PM2.5–10 (coarse particles), PM2.5 (particles with an aerodynamic diameter smaller than or equal to 2.5 µm), BC (black carbon), PNC4 (particle number count of particles larger than or equal to 4 nm), NO2 (nitrogen dioxide), and O3 (ozone) were measured during the period of 2000–2016 in Stockholm and 2001–2018 in Tallinn (except for BC and PNC4 which were only measured in Stockholm). The excess risks in daily mortality associated with an interquartile range (IQR) increase in the measured air pollutants were calculated in both single- and multi-pollutant models for lag01 and lag02 (average concentration during the same and the previous day, and the same and the previous two days, respectively) using a quasi-Poisson regression model with a logistic link function. In general, the calculated excess risks per IQR increase were highest in the age group 0–14 years of age in both Stockholm and Tallinn. However, in Stockholm, a statistically significant effect was shown for PM2.5–10, and in Tallinn for O3. In the oldest age group (65+), statistically significant effects were shown for both PM2.5–10, PM10, and O3 in Stockholm, and for O3 in Tallinn.
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Sun Y, Zhang Y, Chen C, Sun Q, Wang Y, Du H, Wang J, Zhong Y, Shi W, Li T, Shi X. Impact of Heavy PM 2.5 Pollution Events on Mortality in 250 Chinese Counties. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:8299-8307. [PMID: 35686990 DOI: 10.1021/acs.est.1c07340] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
We explored the impact of heavy PM2.5 pollution events on the health of residents in 250 counties in China. A time-series approach involving a two-stage analysis was applied to estimate the association between heavy PM2.5 pollution events and mortality from 2013 to 2018. The associations between heavy (PM2.5 ≥75 μg/m3 and <150 μg/m3) and extremely heavy (PM2.5 ≥150 μg/m3) PM2.5 pollution days with mortality were explored. The added effects of the heavy PM2.5 pollution events were evaluated by controlling PM2.5 concentration in the model. From 2013 to 2018, there were 57,279 county days of heavy PM2.5 pollution and 21,248 county days of extremely heavy PM2.5 pollution. The risks of mortality during this period of heavy PM2.5 pollution events increased by 1.22% (95% CI: 0.82-1.63%), 1.14% (95% CI: 0.74-1.53%), 1.09% (95% CI: 0.58-1.60%), and 1.30% (95% CI: 0.40-2.20%), for all-cause, nonaccidental, circulatory, and respiratory mortality, respectively. We also observed that heavy PM2.5 pollution events had an added effect on mortality risk associated with all-cause, nonaccidental, circulatory, and respiratory mortality, evident from an observed increase by 0.77% (95% CI: 0.29-1.24%), 0.73% (95% CI: 0.27-1.19%), 0.96% (95% CI: 0.37-1.55%), and 0.55% (95% CI: -0.52-1.63%), respectively. Heavy PM2.5 pollution events increased mortality risks and caused an independent added effect. The findings serve as a foundation for policymakers in developing early warning systems and policy interventions.
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Affiliation(s)
- Yue Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7, Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yi Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7, Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7, Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
| | - Qinghua Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7, Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
| | - Yanwen Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7, Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
| | - Hang Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7, Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
| | - Jiaonan Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7, Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yu Zhong
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7, Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
| | - Wanying Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7, Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7, Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7, Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
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Wu H, Lu K, Fu J. A Time-Series Study for Effects of Ozone on Respiratory Mortality and Cardiovascular Mortality in Nanchang, Jiangxi Province, China. Front Public Health 2022; 10:864537. [PMID: 35558528 PMCID: PMC9087186 DOI: 10.3389/fpubh.2022.864537] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 03/31/2022] [Indexed: 12/02/2022] Open
Abstract
Objective Most evidence comes from studies show that ambient ozone(O3) pollution has become a big issue in China. Few studies have investigated the impact of ozone spatiotemporal patterns on respiratory mortality and cardiovascular mortality in Nanchang city. Thus, this study aimed to explore the health effect of ozone exposure on respiratory mortality and cardiovascular mortality in Nanchang, Jiangxi Province. Methods Using the daily mortality data, atmospheric routine monitoring data and meteorological data in Nanchang from 2014 to 2020, we performed a generalized additive model (GAM) based on the poisson distribution in which time-series analysis to calculate the risk correlation between respiratory mortality and cardiovascular mortality and ozone exposure level (8h average ozone concentration, O3-8h). Besides, analyses were also stratified by season, age and sex. Results In the single-pollutant model, for every 10 μg/m3 increase in ozone, respiratory mortality increased 1.04% with 95% confidence interval (CI) between 0.04 and 1.68%, and cardiovascular mortality increased 1.26% (95%CI: 0.68 ~ 1.83%). In the multi-day moving average lag model, the mortality of respiratory diseases and cardiovascular diseases reached a relative risk peak on the cumulative lag5 (1.77%,95%CI: 0.99 ~ 2.57%) and the cumulative lag3 (1.68%,95%CI: 0.93 ~ 2.45%), respectively. The differences were statistically significant (P < 0.05). Results of the stratified analyses showed the effect value of respiratory mortality in people aged ≥65 years was higher than aged <65 years, whereas the greatest effect of cardiovascular mortality in people aged <65 years than aged ≥65 years. Ozone had a more profound impact on females than males in respiratory diseases and cardiovascular diseases. In winter and spring, ozone had a obvious impact on respiratory mortality, and effects of ozone pollution on cardiovascular mortality were stronger in summer and winter. There was a statistically significant difference of respiratory mortality in winter and spring and of cardiovascular mortality in summer and winter (P < 0.05). Conclusions In the long run, the more extreme the pollution of ozone exposure, the higher the health risk of residents' respiratory mortality and cardiovascular mortality. Therefore, the government should play an important role in the prevention and control ways of decreasing and eliminating the ozone pollution to protect the resident's health. The findings provide valuable data for further scientific research and improving environmental policies in Nanchang city.
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Affiliation(s)
- Hao Wu
- Jiangxi Provincial Center for Disease Control and Prevention, Jiangxi, China.,School of Public Health, Nanchang University, Jiangxi, China
| | - Keke Lu
- Jiangxi Provincial Center for Disease Control and Prevention, Jiangxi, China.,School of Public Health, Nanchang University, Jiangxi, China
| | - Junjie Fu
- Jiangxi Provincial Center for Disease Control and Prevention, Jiangxi, China
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