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Xiao Y, Zeng Y, Huang Y, You A, Yu L, Shu J, Chen Z. The effect of tropospheric low-value ozone exposure on the mortality risk of ischemic heart disease and stroke on the example of Yibin (southwestern China). INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2025; 69:1167-1179. [PMID: 40063105 DOI: 10.1007/s00484-025-02886-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Revised: 02/11/2025] [Accepted: 03/01/2025] [Indexed: 04/17/2025]
Abstract
The association of low-level ozone (O3) exposure with the mortality risk of ischemic heart disease (IHD) and stroke remains to be investigated. This study aimed to investigate the relationship between low-level O3 exposure and mortality risk of IHD and stroke in Yibin, a city in southwestern China. A Poisson distribution lagged nonlinear model was used to assess the effect of O3 exposure on IHD and stroke mortality and to explore the susceptible population according to gender and age subgroups and the susceptible season according to seasonal subgroups and to analyse the health effects under low O3 exposure compared with high O3 exposure. The mean O3 exposure concentration from 2014 to 2020 was approximately 48.3 μg/m3. There was a major lagged effect of O3 exposure on IHD and stroke. For every 10.0 μg/m3 increase in O3 concentration, the cumulative risks of death for the two diseases were 1.0211 (95% Confidence Interval [CI]: 1.0064, 1.0358) and 1.0211 (95% CI: 1.0064, 1.0357), respectively. The mortality risks of IHD and stroke for women were 1.0064 (95% CI: 1.0016, 1.0113) and 1.0030 (95% CI: 1.0008, 1.0051), and for those aged > 65 years, they were 1.0082 (95% CI: 1.0026, 1.0139) and 1.0018 (95% CI: 1.0002, 1.0034), and the mortality risks in the warm season were 1.0043 (95% CI: 1.0007, 1.0080) and 1.0038 (95% CI: 1.0005, 1.0072), respectively. The introduction of other pollutants (PM2.5, PM10, NO2, CO) to construct a dual-pollutant model showed that the effect of O3 on the mortality risk of IHD and stroke remained statistically significant. This study consolidates the evidence for a positive correlation between low-level O3 exposure and the mortality risk of IHD and stroke. The findings provide preliminary exploratory insights into the potential impact of air pollution on these diseases, offering a valuable reference for future research.
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Affiliation(s)
- Ye Xiao
- Chengdu Medical College, Chengdu, 610500, Sichuan, China
- Yibin Center for Disease Control and Prevention, Yibin, 644600, China
| | - Yuanhong Zeng
- Chengdu Medical College, Chengdu, 610500, Sichuan, China
| | - Yanlin Huang
- Yibin Center for Disease Control and Prevention, Yibin, 644600, China
| | - Anqi You
- Chengdu Medical College, Chengdu, 610500, Sichuan, China
| | - Lili Yu
- Yibin Center for Disease Control and Prevention, Yibin, 644600, China
| | - Jinxi Shu
- Chengdu Medical College, Chengdu, 610500, Sichuan, China
| | - Zhaoqiong Chen
- Chengdu Medical College, Chengdu, 610500, Sichuan, China.
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Wang T, Wang J, Sun L, Deng Y, Xiang Y, Wang Y, Chen J, Peng W, Cui Y, He M. Effect of Ozone Exposure on Cardiovascular and Cerebrovascular Disease Mortality in the Elderly. TOXICS 2025; 13:184. [PMID: 40137511 PMCID: PMC11945528 DOI: 10.3390/toxics13030184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2024] [Revised: 01/14/2025] [Accepted: 02/26/2025] [Indexed: 03/29/2025]
Abstract
BACKGROUND Ozone pollution has increased alongside China's economic development, contributing to public health issues such as cardiovascular and cerebrovascular diseases. At present, the problem of an aging population is aggravated, which is worth more attention in terms of the health problems of elderly people. METHODS This study employed a distributional lag nonlinear model (DLNM) with Poisson regression to analyze the impact of ozone on cardiovascular and cerebrovascular disease mortality among the elderly in Shenyang, China, from 2014 to 2018. In addition, a time-series generalized additive regression model (GAM) was used to analyze the joint effect between PM2.5 and ozone. RESULTS We found a positive correlation between ozone and mortality from cardiovascular and cerebrovascular diseases in the elderly. The maximum relative risk (RR) of mortality from cardiovascular and cerebrovascular diseases for every 10 μg/m3 increase in ozone was 1.005 (95% CI: 1.002-1.008). Males (RR: 1.018, 95% CI: 1.007-1.030), individuals in unconventional marital status (RR: 1.024, 95% CI: 1.011-1.038), and outdoor workers (RR: 1.017, 95% CI: 1.002-1.031) were more vulnerable to ozone pollution. This study did not find significant differences in the impact of ozone pollution on cardiovascular and cerebrovascular disease mortality risks among different educational groups. Additionally, a joint effect between ozone and PM2.5 was observed. CONCLUSION This study confirms that ozone exposure is positively associated with increased mortality from cardiovascular and cerebrovascular diseases. It emphasizes the joint effect of ozone and PM2.5 in exacerbating cardiovascular and cerebrovascular disease mortality.
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Affiliation(s)
- Tianyun Wang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Junlong Wang
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China; (J.W.); (L.S.)
| | - Li Sun
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China; (J.W.); (L.S.)
| | - Ye Deng
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Yuting Xiang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Yuting Wang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Jiamei Chen
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Wen Peng
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Yuanyao Cui
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Miao He
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University, Shenyang 110122, China
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Hua Q, Meng X, Gong J, Qiu X, Shang J, Xue T, Zhu T. Ozone exposure and cardiovascular disease: A narrative review of epidemiology evidence and underlying mechanisms. FUNDAMENTAL RESEARCH 2025; 5:249-263. [PMID: 40166088 PMCID: PMC11955045 DOI: 10.1016/j.fmre.2024.02.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 02/27/2024] [Accepted: 02/29/2024] [Indexed: 04/02/2025] Open
Abstract
Ozone (O3) poses a significant global public health concern as it exerts adverse effects on human cardiovascular health. Nevertheless, there remains a lack of comprehensive understanding regarding the relationships between O3 exposure and the risk of cardiovascular diseases (CVD), as well as the underlying biological mechanisms. To address this knowledge gap, this narrative review meticulously summarizes the existing epidemiological evidence, susceptibility, and potential underlying biological mechanisms linking O3 exposure with CVD. An increasing body of epidemiological studies has demonstrated that O3 exposure heightens the incidence and mortality of CVD, including specific subtypes such as ischemic heart disease, hypertension, and heart failure. Certain populations display heightened vulnerability to these effects, particularly children, the elderly, obese individuals, and those with pre-existing conditions. Proposed biological mechanisms suggest that O3 exposure engenders respiratory and systemic inflammation, oxidative stress, disruption of autonomic nervous and neuroendocrine systems, as well as impairment of coagulation function, glucose, and lipid metabolism. Ultimately, these processes contribute to vascular dysfunction and the development of CVD. However, some studies have reported the absence of associations between O3 and CVD, or even potentially protective effects of O3. Inconsistencies among the literature may be attributed to inaccurate assessment of personal O3 exposure levels in epidemiologic studies, as well as confounding effects stemming from co-pollutants and temperature. Consequently, our findings underscore the imperative for further research, including the development of reliable methodologies for assessing personal O3 exposure, exploration of O3 exposure's impact on cardiovascular health, and elucidation of its biological mechanisms. These endeavors will consolidate the causal relationship between O3 and cardiovascular diseases, subsequently aiding efforts to mitigate the risks associated with O3 exposure.
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Affiliation(s)
- Qiaoyi Hua
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering and Center for Environment and Health, Peking University, Beijing 100871, China
| | - Xin Meng
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering and Center for Environment and Health, Peking University, Beijing 100871, China
| | - Jicheng Gong
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering and Center for Environment and Health, Peking University, Beijing 100871, China
| | - Xinghua Qiu
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering and Center for Environment and Health, Peking University, Beijing 100871, China
| | - Jing Shang
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering and Center for Environment and Health, Peking University, Beijing 100871, China
| | - Tao Xue
- Institute of Reproductive and Child Health/Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100871, China
| | - Tong Zhu
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering and Center for Environment and Health, Peking University, Beijing 100871, China
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Jiang Y, Yan F, Kan H, Zhou M, Yin P, Chen R. Burden of chronic obstructive pulmonary disease attributable to ambient ozone pollution across China and its provinces, 1990-2021: An analysis for the Global Burden of Disease Study 2021. Chin Med J (Engl) 2024; 137:3126-3135. [PMID: 39654451 PMCID: PMC11706609 DOI: 10.1097/cm9.0000000000003415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Indexed: 01/03/2025] Open
Abstract
BACKGROUND Epidemiological studies have demonstrated a causal relationship between ambient ozone (O 3 ) and mortality from chronic obstructive pulmonary disease (COPD), which is the only outcome considered in the Global Burden of Disease Study 2021 for O 3 . This study aims to evaluate the temporal trend and spatial distribution of the COPD burden attributable to O 3 across China from 1990 to 2021. METHODS The ambient O 3 concentrations in China were estimated. Based on the methodology framework and standard analytical methods applied in the Global Burden of Disease Study 2021, we estimated the annual number, age-standardized rate, and percentage of deaths and disability-adjusted life-years (DALYs) from COPD attributable to O 3 pollution during 1990-2021 at the national and provincial levels in China. RESULTS In 2021, a total of 125.7 (95% uncertainty interval [UI], 26.4-228.3) thousand deaths and 1917.5 (95% UI, 398.7-3504.6) thousand DALYs from COPD were attributable to ambient O 3 pollution in China, accounting for 9.8% (95% UI, 2.1-17.0%) and 8.1% (95% UI, 1.8-14.1%) of the total COPD deaths and DALYs, respectively. Generally, a higher burden was observed among males, the elderly, and the population residing in regions with worse health conditions. The age-standardized rates of COPD deaths and DALYs per 100,000 populations ranged from 0.5 (95% UI, 0-1.4) and 8.1 (95% UI, 0.7-20.9) in Hong Kong to 22.8 (95% UI, 3.9-43.5) and 396.6 (95% UI, 68.9-763.7) in Xizang. From 1990 to 2021, there was a notable decrease in the age-standardized rates of COPD-related deaths (68.2%, 95% UI, 60.1-74.9%) and DALYs (71.5%, 95% UI, 63.7-77.6%), especially in regions with poor health conditions. However, the attributable numbers and percentages changed relatively marginally. CONCLUSIONS Ambient O 3 pollution is a major contributor to the COPD burden in China. Our findings highlight the significant spatial heterogeneity across different provinces and underscore the implementation of geographically tailored policies to effectively reduce O 3 pollution and alleviate the associated disease burden.
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Affiliation(s)
- Yixuan Jiang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Fanshu Yan
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
- Children’s Hospital of Fudan University, National Center for Children’s Health, Shanghai 201102, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
- School of Public Health, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
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Xu R, Sun H, Zhong Z, Zheng Y, Liu T, Li Y, Liu L, Luo L, Wang S, Lv Z, Huang S, Shi C, Chen W, Wei J, Xia W, Liu Y. Ozone, Heat Wave, and Cardiovascular Disease Mortality: A Population-Based Case-Crossover Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:171-181. [PMID: 38100468 DOI: 10.1021/acs.est.3c06889] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2023]
Abstract
A case-crossover study among 511,767 cardiovascular disease (CVD) deaths in Jiangsu province, China, during 2015-2021 was conducted to assess the association of exposure to ambient ozone (O3) and heat wave with CVD mortality and explore their possible interactions. Heat wave was defined as extreme high temperature for at least two consecutive days. Grid-level heat waves were defined by multiple combinations of apparent temperature thresholds and durations. Residential O3 and heat wave exposures were assessed using grid data sets (spatial resolution: 1 km × 1 km for O3; 0.0625° × 0.0625° for heat wave). Conditional logistic regression models were applied for exposure-response analyses and evaluation of additive interactions. Under different heat wave definitions, the odds ratios (ORs) of CVD mortality associated with medium-level and high-level O3 exposures ranged from 1.029 to 1.107 compared with low-level O3, while the ORs for heat wave exposure ranged from 1.14 to 1.65. Significant synergistic effects on CVD mortality were observed for the O3 and heat wave exposures, which were generally greater with higher levels of the O3 exposure, higher temperature thresholds, and longer durations of heat wave exposure. Up to 5.8% of the CVD deaths were attributable to O3 and heat wave. Women and older adults were more vulnerable to the exposure to O3 and heat wave exposure. Exposure to both O3 and heat wave was significantly associated with an increased odds of CVD mortality, and O3 and heat wave can interact synergistically to trigger CVD deaths.
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Affiliation(s)
- Ruijun Xu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Hong Sun
- Institute of Environment and Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China
| | - Zihua Zhong
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Yi Zheng
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Tingting Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Yingxin Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Likun Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Lu Luo
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Sirong Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Ziquan Lv
- Central Laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China
| | - Suli Huang
- School of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong 518055, China
| | - Chunxiang Shi
- Meteorological Data Laboratory, National Meteorological Information Center, Beijing 100081, China
| | - Weiqing Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20740, United States
| | - Wenhao Xia
- Department of Hypertension and Vascular Disease, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Department of Cardiology, Guangxi Hospital Division of The First Affiliated Hospital, Sun Yat-sen University, Nanning, Guangxi 530022, China
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
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Deng Y, Wang J, Sun L, Wang Y, Chen J, Zhao Z, Wang T, Xiang Y, Wang Y, Chen J, He M. Effects of Ambient O 3 on Respiratory Mortality, Especially the Combined Effects of PM 2.5 and O 3. TOXICS 2023; 11:892. [PMID: 37999544 PMCID: PMC10675328 DOI: 10.3390/toxics11110892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 10/25/2023] [Accepted: 10/26/2023] [Indexed: 11/25/2023]
Abstract
BACKGROUND In China, the increasing concentration of ozone (O3) has emerged as a significant air pollution issue, leading to adverse effects on public health, particularly the respiratory system. Despite the progress made in managing air pollution in China, it is crucial to address the problem of environmental O3 pollution at present. METHODS The connection between O3 exposure and respiratory mortality in Shenyang, China, from 2014 to 2018 was analyzed by a time-series generalized additive regression model (GAM) with quasi-Poisson regression. Additionally, the potential combined effects of fine particulate matter (PM2.5) and O3 were investigated using the synergy index (SI). RESULTS Our findings indicate that each 10 μg/m3 increase in O3 at lag 2 days was associated with a maximum relative risk (RR) of 1.0150 (95% CI: 1.0098-1.0202) for respiratory mortality in the total population. For individuals aged ≥55 years, unmarried individuals, those engaged in indoor occupations, and those with low educational attainment, each 10 μg/m3 increase in O3 at lag 07 days was linked to RR values of 1.0301 (95% CI: 1.0187-1.0417), 1.0437 (95% CI: 1.0266-1.0610), 1.0317 (95% CI: 1.0186-1.0450), and 1.0346 (95% CI: 1.0222-1.0471), respectively. Importantly, we discovered a synergistic effect of PM2.5 and O3, resulting in an SI of 2.372 on the occurrence of respiratory mortality. CONCLUSIONS This study confirmed a positive association between O3 exposure and respiratory mortality. Furthermore, it highlighted the interaction between O3 and PM2.5 in exacerbating respiratory deaths.
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Affiliation(s)
- Ye Deng
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Junlong Wang
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Li Sun
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Yue Wang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Jiaoyang Chen
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Zhixin Zhao
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Tianyun Wang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Yuting Xiang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Yuting Wang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Jiamei Chen
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
| | - Miao He
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University, Shenyang 110122, China
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Zhang X, Maji KJ, Wang Z, Yang FF, Wang G, Cheng C. Associations between Different Ozone Indicators and Cardiovascular Hospital Admission: A Time-Stratified Case-Crossover Analysis in Guangzhou, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2056. [PMID: 36767423 PMCID: PMC9916254 DOI: 10.3390/ijerph20032056] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Accepted: 01/13/2023] [Indexed: 05/17/2023]
Abstract
Epidemiological studies reported that ozone (O3) is associated with cardiovascular diseases. However, only few of these studies examined the impact of multiple O3 indicators on cardiovascular hospital admissions. This study aimed to explore and compare the impacts of different O3 indicators on cardiovascular hospital admissions in Guangzhou, China. Based upon the data on daily cardiovascular hospital admissions, air pollution, and meteorological factors in Guangzhou from 2014 to 2018, a time-stratified case-crossover design model was used to analyze the associations between different O3 indicators and cardiovascular hospital admissions. Moreover, the sensitivities of different age and gender groups were analyzed for the whole year and different seasons (i.e., warm and cold). During the warm season, for the single-pollutant model, the odds ratio (OR) value of cardiovascular hospital admissions was 1.0067 (95% confidence interval (CI): 1.0037, 1.0098) for every IQR increase in MDA8 O3 at a lag of five days. The effect of O3 on people over 60 year was stronger than that on the 15-60 years age group. Females were more sensitive than males to O3 exposure. These results provided valuable references for further scientific research and environmental improvement in Guangzhou. Given that short-term O3 exposure poses a threat to human health, the government should therefore pay attention to prevention and control policies to reduce and eliminate O3 pollution and protect human health.
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Affiliation(s)
- Xiangxue Zhang
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7514 AE Enschede, The Netherlands
| | - Kamal Jyoti Maji
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Zhuoqing Wang
- Department of Scientific Research & Discipline Development, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Fiona Fan Yang
- School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510006, China
| | - Guobin Wang
- School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510006, China
| | - Changxiu Cheng
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
- National Tibetan Plateau Data Center, Beijing 100101, China
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