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Gao Q, Jiang B, Tong M, Zuo H, Cheng C, Zhang Y, Song S, Lu L, Li X. Effects and interaction of humidex and air pollution on influenza: A national analysis of 319 cities in mainland China. JOURNAL OF HAZARDOUS MATERIALS 2025; 490:137865. [PMID: 40058198 DOI: 10.1016/j.jhazmat.2025.137865] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2024] [Revised: 02/27/2025] [Accepted: 03/05/2025] [Indexed: 04/16/2025]
Abstract
Influenza imposes a significant global health burden. This study investigates the effects of humidex and air pollution on influenza and their interactions, using multi-city surveillance data in China. Daily data on reported influenza cases, meteorological factors and air pollution from 319 cities in mainland China over the study period of 2014-2019 were collected. A two-stage analytical framework, comprising distributed lag non-linear model and multivariate meta-analysis, was employed to assess the associations between humidex, air pollution and influenza. Hierarchical and joint effect models were employed to examine their interaction. Nationally, an approximately L-shaped relationship between humidex and influenza was observed, with the highest relative risk (RR) of 2.603 (95 % confidence interval [CI]: 2.195-3.086). Per interquartile range increases in PM2.5, PM10, NO2, SO2, CO and O3 were associated with influenza risk increments of 0.035 (95 % CI: 0.010-0.061), 0.029 (95 % CI: 0.003-0.055), 0.191 (95 % CI: 0.152-0.231), 0.239 (95 % CI: 0.166-0.317), 0.038 (95 % CI: 0.001-0.076) and -0.171 (95 % CI: -0.238--0.099), respectively. A synergistic interaction effect was identified between low humidex and high air pollution as well as different air pollutants. Subgroup analyses indicated females and individuals aged 7-18 years old exhibited higher risks. Stronger effects were observed during winter season and in large cities. This study underscores the urgent need for tailored interventions to mitigate the health impacts in regions with concurrent low humidex and high air pollution.
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Affiliation(s)
- Qi Gao
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Baofa Jiang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Michael Tong
- National Centre for Epidemiology and Population Health, ANU College of Health and Medicine, The Australian National University, Canberra, ACT, 2601, Australia
| | - Hui Zuo
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Chuanlong Cheng
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yuqi Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Sihao Song
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Liang Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Xiujun Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
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Jiang X, Li M, Li W, Guo Y, Zhang J, Ye L, Guo Z, Yang Y, Liu W, Chen L, Wang Q, Wu W, Dong G, Gui Z, Li D, Chen W, Chen S. Effects of co-exposure to heat and ozone on lipid metabolism in the liver and adipose tissue of C57BL/6J male mice. JOURNAL OF HAZARDOUS MATERIALS 2025; 489:137577. [PMID: 39947076 DOI: 10.1016/j.jhazmat.2025.137577] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2024] [Revised: 01/23/2025] [Accepted: 02/09/2025] [Indexed: 04/16/2025]
Abstract
Although the effects of ozone and heat on health have been studied independently, the impact of combined exposure remains poorly understood. In this study, C57BL/6 J male mice were individually exposed to ozone (1 ppm), heat (34°C), or both in combination for 4 weeks (5 days/week, 3 h/day). In the Co-exposure group, stress hormones were increased, intensifying the activation of both the hypothalamic-pituitary-adrenal (HPA) axis and the sympathetic-adrenal-medullary (SAM) axis. Co-exposure to ozone and heat disrupted lipid homeostasis, as evidenced by elevated low-density lipoprotein cholesterol (LDL-C) and free fatty acids (FFA). Additionally, the combined exposure promoted hepatic lipid accumulation and oxidative stress. Co-exposure also induced the whitening of brown adipose tissue, reducing its capacity for thermogenesis and potentially worsening lipid dysregulation in the liver and systemic circulation. Transcriptomic analysis of the liver identified perturbations in key pathways related to cellular stress response and lipid metabolism. Notably, key enzymes responsible for cholesterol clearance, such as cholesterol 7α-hydroxylase (Cyp7a1), and ATP-binding cassette transporters G5 (Abcg5) and G8 (Abcg8) were suppressed in the Co-exposure group. These findings underscore the additive effects of simultaneous ozone and heat exposure in lipid metabolism, highlighting the increased risk of metabolic disorders under environmental stress.
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Affiliation(s)
- Xinhang Jiang
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Miao Li
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wenxue Li
- Department of Toxicology, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Yuzhi Guo
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jiahao Zhang
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Lizhu Ye
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhanyu Guo
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yahan Yang
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wenjie Liu
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Liping Chen
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Qing Wang
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Weidong Wu
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan, China
| | - Guanghui Dong
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhaohuan Gui
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Daochuan Li
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wen Chen
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
| | - Shen Chen
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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Wu B, Wang T, Zhang Y, Li Y, Kong C, Jiang Y, Song X, Chen X, Xie Z, Ye H, Feng L, Zhao Z, Che Y. Association of ambient ozone with time to pregnancy and the modifying effect of ambient temperature: a population-based cohort study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2025; 374:126269. [PMID: 40254269 DOI: 10.1016/j.envpol.2025.126269] [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: 02/06/2025] [Revised: 03/28/2025] [Accepted: 04/16/2025] [Indexed: 04/22/2025]
Abstract
Research on the impact of ozone (O3) on fecundability has been inconclusive, lacking evidence examining the lagged pattern of ozone exposure and temperature modification. Current studies have predominantly been conducted in North America and Europe, leaving a gap in research from the Asian population. This population-based prospective cohort study involved 594,110 couples in Yunnan Province, China, enrolled in the National Free Preconception Health Examination Project. We calculated time-varying cycle-specific O3 concentration across 1-12 menstrual cycles before conception, according to each female's menstrual cycle length and residential addresses. Time to pregnancy was used as an outcome indicator. A discrete-time Cox regression model integrated with a distributed lag model (DLM) was employed for analysis. We observed that O3 exposure was negatively associated with fecundability, with the effect diminishing over time relative to conception. The first menstrual cycle before conception appeared most sensitive to O3 exposure, showing a 6.2 % decrease (HR: 0.938; 95 % CI: 0.936 to 0.941) in fecundability per one IQR increase of O3. Combined exposure to O3 and ambient temperature may exert a synergistic effect. The modifying effect of temperature was most pronounced in the first cycle before conception, with HRs of 0.891 (95 % CI: 0.886 to 0.895), 0.859 (95 % CI: 0.853 to 0.865), and 0.833 (95 % CI: 0.826 to 0.840) under low-, median-, and high-temperature conditions, respectively. Targeted policy interventions are needed to mitigate the dual impact of air pollution and rising temperatures.
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Affiliation(s)
- Bingxue Wu
- NHC Key Lab of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health, Fudan University, Shanghai, 200237, China
| | - Tao Wang
- Yunnan Population and Family Planning Research Institute, Kunming, 650021, China; Department of Medical Genetics, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, First People's Hospital of Yunnan Province, Kunming, 650032, China
| | - Yan Zhang
- NHC Key Lab of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health, Fudan University, Shanghai, 200237, China
| | - Yuyan Li
- NHC Key Lab of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health, Fudan University, Shanghai, 200237, China
| | - Cai Kong
- Yunnan Population and Family Planning Research Institute, Kunming, 650021, China; Department of Medical Genetics, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, First People's Hospital of Yunnan Province, Kunming, 650032, China
| | - Yishi Jiang
- NHC Key Lab of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health, Fudan University, Shanghai, 200237, China
| | - Xiangjing Song
- Yunnan Population and Family Planning Research Institute, Kunming, 650021, China; Department of Medical Genetics, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, First People's Hospital of Yunnan Province, Kunming, 650032, China
| | - Xing Chen
- NHC Key Lab of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health, Fudan University, Shanghai, 200237, China
| | - Zhengyuan Xie
- Yunnan Population and Family Planning Research Institute, Kunming, 650021, China; Department of Medical Genetics, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, First People's Hospital of Yunnan Province, Kunming, 650032, China
| | - Hanfeng Ye
- Yunnan Population and Family Planning Research Institute, Kunming, 650021, China; Department of Medical Genetics, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, First People's Hospital of Yunnan Province, Kunming, 650032, China
| | - Lin Feng
- Qujing Maternal and Child Health-care Hospital, Qujing, 655000, China
| | - Zigao Zhao
- Yunnan Population and Family Planning Research Institute, Kunming, 650021, China; Department of Medical Genetics, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, First People's Hospital of Yunnan Province, Kunming, 650032, China.
| | - Yan Che
- NHC Key Lab of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health, Fudan University, Shanghai, 200237, China.
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Wang T, Chen X, Yao Y, Chen W, Li H, Xu Y, Guan T, Gong J, Qiu X, Zhu T. Pro-Thrombotic Changes in Response to Ambient Ozone Exposure Exacerbated by Temperatures. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2025; 59:8391-8401. [PMID: 40262116 DOI: 10.1021/acs.est.4c13457] [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: 04/24/2025]
Abstract
Recent evidence links high temperatures to increased ozone-related cardiovascular mortality in a changing climate, but the underlying biological mechanisms remain unclear. We investigated the associations between short-term ozone exposure and pro-thrombosis, a key process in the pathophysiology of cardiovascular diseases across varying temperatures (5-30 °C) in a longitudinal panel study of 135 participants in Beijing, China. Pro-thrombotic biomarkers and whole blood transcriptome data were measured repeatedly. Bayesian kernel machine regression revealed that higher serum thromboxane (Tx)B2 levels were associated with increasing levels of joint exposure to air pollutants over 1 week when ozone rather than other pollutants contributed most to the overall effect. Causal mediation analyses found 715 transcripts associated with an increase in TxB2 following ozone exposure, which were enriched in pathways, including ribosome, thermogenesis, oxidative phosphorylation, and pathways of neurodegeneration. As the temperature increased, we observed a stronger association between ozone exposure and TxB2 increase. The TxB2 increments per interquartile range increase in the one-week average of ozone were 6.6, 13.2, 14.8, 16.6, and 18.4 units when the temperatures were 6.5, 15.0, 17.6, 21.4, and 26.7 °C, respectively. The number of mediating transcripts enriched in pathways related to translation, environmental adaptation, energy metabolism, and human diseases was also greater at higher temperatures than at lower ones. This study suggests that higher temperatures exacerbate ozone-related pro-thrombotic response, providing a biological basis for the increased risk of ozone-associated cardiovascular mortality at high temperatures.
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Affiliation(s)
- Teng Wang
- School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, China
| | - Xi Chen
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, China
- Hebei Technology Innovation Center of Human Settlement in Green Building, Shenzhen Institute of Building Research Co., Ltd., Xiongan 071800, China
| | - Yuan Yao
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, China
- Department of Environmental Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, California 90095, United States
| | - Wu Chen
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, China
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Haonan Li
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, China
| | - Yifan Xu
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, China
| | - Tianjia Guan
- School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, 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
| | - 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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Phosri A, Srisodaphol W, Sangkharat K. Combined effects of ambient air pollution and temperature on mortality in Thailand. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2025:10.1007/s00484-025-02913-8. [PMID: 40198345 DOI: 10.1007/s00484-025-02913-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 03/03/2025] [Accepted: 04/01/2025] [Indexed: 04/10/2025]
Abstract
This study aimed to investigate the combined effects of air pollution and temperature on mortality in 34 provinces of Thailand by modeling temperature as a confounding factor and effect modifier, estimating the effects of air pollution at low, moderate, and high temperature categories defined by the 1st and 99th province-specific temperature percentiles. When the temperature was modeled as a confounding factor, the relative risk (RR) of mortality associated with a 10 µg/m3 increase in PM10 and PM2.5 (lag 0-2), and a 10-ppb increase in NO2 (lag 0-2) and O3 (lag 0-7) was respectively 1.0096 (95% Confidence Interval (CI): 1.0073, 1.0118), 1.0134 (95% CI: 1.0099, 1.0170), 1.0172 (95% CI: 1.0122, 1.0222), and 1.0164 (95% CI: 1.0093, 1.0236). Regarding temperature as an effect modifier, the combined effects of air pollution and temperature were observed as a U-shaped pattern, where the effects of PM10, PM2.5, NO2, and O3 on mortality were greater at low (< 1st percentile) and high (> 99th percentile) temperature days compared to those at moderate temperature days (1st - 99th percentile). The pattern of combined effects of air pollution and temperature remained robust even when different temperature percentiles were employed, except for that of NO2. Furthermore, the estimated effects of PM10, PM2.5, NO2, and O3 on mortality at high-temperature days were mitigated by high green density. Findings of this study revealed that extreme temperature (both hot and cold) could exacerbate the effect of air pollution on mortality, and higher green density mitigate the combined effects of air pollution and high temperature.
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Affiliation(s)
- Arthit Phosri
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
- Center of Excellence on Environmental Health and Toxicology (EHT), Office of the Permanent Secretary (OPS), Ministry of Higher Education, Science, Research and Innovation (MHESI), Bangkok, Thailand.
| | - Wuttichai Srisodaphol
- Department of Statistics, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand
| | - Kamolrat Sangkharat
- Regional Health Promotion Center 3, Department of Health, Ministry of Public Health, Nakhon Sawan, Thailand
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Gao A, You X, Li Z, Liao C, Yin Z, Zhang B, Zhang H. Health effects associated with ozone in China: A systematic review. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2025; 367:125642. [PMID: 39761714 DOI: 10.1016/j.envpol.2025.125642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2024] [Revised: 12/24/2024] [Accepted: 01/03/2025] [Indexed: 01/21/2025]
Abstract
As the ozone (O3) pollution becomes severe in China, it poses a threat to human health. Currently, studies on the impacts of O3 on different regions and groups are limited. This review systematically summarizes the relationship between O3 pollution and mortality and morbidity across the nation, regions, and cities in China, with a focus on the regional and group-specific studies. Then, we clarify the overall limitations in the research data, methods, and subjects. In addition, we briefly discuss the mechanisms by which O3 exposure affects human health, analyzing the effects of O3 on human health under heatwaves (temperature) condition, multi-pollutant modeling, and future climate scenarios. Finally, we give some suggestions for future research directions. Studies found that increased risks of premature mortality and morbidity of respiratory and cardiovascular diseases are closely associated with high concentration O3 exposure. Besides, the old and children are sensitive groups, more studies are needed estimate the risk of their health associated with O3 pollution. Severe O3 pollution in Northern and Eastern China, has significantly increased premature mortality. O3 pollution has led to decreased lung function in the elderly in East China, and a higher asthma risk among young people in South China. Comparing with other regions, less research studied the relationship between O3 pollution and health of local people in Southwest, Central, Northeast, and Northwest Regions. Therefore, it is necessary to enhance research in these regions, with a particular emphasis on the distinctive health consequences of O3 pollution in these regions. Given the diversity of regions and research groups, comprehensive comparison is crucial for determining the impact of O3 pollution on human health in China.
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Affiliation(s)
- Aifang Gao
- School of Water Resources and Environment, Hebei GEO University, Hebei Province Collaborative Innovation Center for Sustainable Utilization of Water Resources and Optimization of Industrial Structure, Hebei Province Key Laboratory of Sustained Utilization and Development of Water Resources, Hebei Center for Ecological and Environmental Geology Research, Shijiazhuang, 050031, China
| | - Xi You
- School of Water Resources and Environment, Hebei GEO University, Hebei Province Collaborative Innovation Center for Sustainable Utilization of Water Resources and Optimization of Industrial Structure, Hebei Province Key Laboratory of Sustained Utilization and Development of Water Resources, Hebei Center for Ecological and Environmental Geology Research, Shijiazhuang, 050031, China
| | - Zhao Li
- School of Water Resources and Environment, Hebei GEO University, Hebei Province Collaborative Innovation Center for Sustainable Utilization of Water Resources and Optimization of Industrial Structure, Hebei Province Key Laboratory of Sustained Utilization and Development of Water Resources, Hebei Center for Ecological and Environmental Geology Research, Shijiazhuang, 050031, China
| | - Chenglong Liao
- School of Water Resources and Environment, Hebei GEO University, Hebei Province Collaborative Innovation Center for Sustainable Utilization of Water Resources and Optimization of Industrial Structure, Hebei Province Key Laboratory of Sustained Utilization and Development of Water Resources, Hebei Center for Ecological and Environmental Geology Research, Shijiazhuang, 050031, China
| | - Ze Yin
- School of Water Resources and Environment, Hebei GEO University, Hebei Province Collaborative Innovation Center for Sustainable Utilization of Water Resources and Optimization of Industrial Structure, Hebei Province Key Laboratory of Sustained Utilization and Development of Water Resources, Hebei Center for Ecological and Environmental Geology Research, Shijiazhuang, 050031, China.
| | - Baojun Zhang
- Tangshan Ecological Environment Publicity and Education Center, Tangshan, 063000, China
| | - Hongliang Zhang
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China.
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Zhang X, Xi Z, Yang M, Zhang X, Wu R, Li S, Pan L, Fang Y, Lv P, Ma Y, Duan H, Wang B, Lv K. Short-term effects of combined environmental factors on respiratory disease mortality in Qingdao city: A time-series investigation. PLoS One 2025; 20:e0318250. [PMID: 39874371 PMCID: PMC11774373 DOI: 10.1371/journal.pone.0318250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 01/14/2025] [Indexed: 01/30/2025] Open
Abstract
BACKGROUND It is crucial to comprehend the interplay between air pollution and meteorological conditions in relation to population health within the framework of "dual-carbon" targets. The purpose of this study was to investigate the impact of intricate environmental factors, encompassing both meteorological conditions and atmospheric pollutants, on respiratory disease (RD) mortality in Qingdao, a representative coastal city in China. METHODS The RD mortality cases were collected from the Chronic Disease Surveillance Monitoring System in Qingdao during Jan 1st, 2014 and Dec 31st, 2020. The distributed-lag nonlinear model and generalized additivity model were used to assess the association between daily mean temperature (DMT), air pollutant exposure and RD mortality. To ascertain the robustness of the model and further investigate this relationship, a stratified analysis and sensitivity analysis were conducted to mitigate potential confounding factors. RESULTS A total of 19,905 mortalities from RD were recorded. The minimum mortality temperature (MMT) was determined to be 23.5°C, and DMT and RD mortality showed an N-shaped relationship. At the MMT of 23.5°C, the cumulative relative risk (cumRR) for mortality within a lag period of 0-14 days from the highest temperature (31°C) was estimated at 2.114 (95% confidence interval [CI]: 1.475 ~ 3.028). The effect value of particulate matter (PM) also increased with a longer cumulative lag time. In the single pollutant model, the highest risk of RD mortality was observed on the lag1-day of per 10 μg/m3 increase in PM2.5 exposure, with an excess risk ratio (ER) of 0.847% (95% CI: 0.335% ~ 1.362%). The largest cumulative effect was found at a lag of 8 days, with an ER of 1.546% (95% CI: 0.483% ~ 2.621%). A similar trend was found for PM10. For O3 exposure, the highest risk was observed on the lag1-day of per 10 μg/m3 increase, with an ER of 1.073% (95% CI: 0.502% ~ 1.647%), and the largest cumulative effect occurred at a lag of 2 days with an ER of 1.113% (95%CI: 0.386% ~ 1.844%). Results from the dual-pollutants model demonstrated that the effect of PM on the risk of RD mortality remained significant and slightly increased in magnitude. Moreover, composite pollutants exhibited a higher risk effect, reaching its peak after one week; however, there was a decrease in single-day cumulative effects as more pollutant types were included. Subgroup analysis showed that females, elderly individuals, and those exposed during warm seasons demonstrated greater susceptibility to PM exposure. CONCLUSION The present study revealed a significant association between short-term exposure to high temperature, PM2.5, PM10 and O3 and the risk of RD mortality in Qingdao, even in dual- and composite-pollutants models. Furthermore, our findings indicate that females, the elderly population, and warm seasons exhibit heightened sensitivity to PM exposure.
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Affiliation(s)
- Xin Zhang
- Department of Science and Technology, Yancheng First People’s Hospital, Yancheng, Jiangsu, China
| | - Zijian Xi
- School of Public Health, Binzhou Medical University, Yantai, Shandong, China
| | - Min Yang
- Shibei District Center for Disease Control and Prevention, Qingdao, Shandong, China
| | - Xiuqin Zhang
- Department of Environmental Health, Qingdao Municipal Center for Disease Control and Prevention, Qingdao Institute of Disease Prevention, Qingdao, Shandong, China
| | - Ruikai Wu
- School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Shuang Li
- School of Public Health, Binzhou Medical University, Yantai, Shandong, China
| | - Lu Pan
- Department of Environmental Health, Qingdao Municipal Center for Disease Control and Prevention, Qingdao Institute of Disease Prevention, Qingdao, Shandong, China
| | - Yuan Fang
- Qingdao Eco-Environmental Monitoring Center of Shandong Province, Qingdao, Shandong, China
| | - Peng Lv
- School of Public Health, Binzhou Medical University, Yantai, Shandong, China
| | - Yan Ma
- Qingdao Meteorological Bureau (Qingdao Marine Meteorological Bureau), Qingdao, Shandong, China
| | - Haiping Duan
- Department of Environmental Health, Qingdao Municipal Center for Disease Control and Prevention, Qingdao Institute of Disease Prevention, Qingdao, Shandong, China
| | - Bingling Wang
- Department of Environmental Health, Qingdao Municipal Center for Disease Control and Prevention, Qingdao Institute of Disease Prevention, Qingdao, Shandong, China
| | - Kunzheng Lv
- Department of Environmental Health, Qingdao Municipal Center for Disease Control and Prevention, Qingdao Institute of Disease Prevention, Qingdao, Shandong, China
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Wang W, Yang C, Wang F, Wang J, Zhang F, Li P, Zhang L. Does Nonsteroidal Anti-inflammatory Drug Use Modify All-Cause and Cause-Specific Mortality Associated with PM 2.5 and Its Components? A Nationally Representative Cohort Study (2007-2017). ENVIRONMENT & HEALTH (WASHINGTON, D.C.) 2025; 3:14-25. [PMID: 39839242 PMCID: PMC11744395 DOI: 10.1021/envhealth.4c00133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2024] [Revised: 10/14/2024] [Accepted: 10/16/2024] [Indexed: 01/03/2025]
Abstract
Several studies reported that nonsteroidal anti-inflammatory drug (NSAID) use could alleviate subclinical effects of short-term exposure to fine particulate matter (PM2.5). However, whether chronic NSAID use could mitigate the long-term effects of PM2.5 and its components on population mortality has been unknown. Based on a national representative survey of 47,086 adults (2007-2010) with follow-up information on the primary cause of death (until 2017), we investigated the long-term associations of PM2.5 and its major components, including black carbon (BC), ammonium (NH4 +), nitrate (NO3 -), organic matter (OM), and sulfate (SO4 2-), with all-cause and cause-specific mortality using the Cox proportional hazards model. We also evaluated the effect modification by NSAID use (including broad NSAIDs, aspirin, or ibuprofen) on the associations using interaction models. Long-term exposures to PM2.5 and its components were associated with increased risks of all-cause and cause-specific mortality, where BC, OM, and SO4 2- showed stronger associations. Ibuprofen use could mitigate the associations of PM2.5 and its components with mortality risks, while no significant modifying effects of aspirin were observed. For instance, along with per interquartile range increment in PM2.5 concentration (34.8 μg/m3), the hazard ratios (HRs) of all-cause mortality were 1.21 (95% CI: 1.19, 1.22) and 1.10 (95% CI: 1.01, 1.19) in nonibuprofen and ibuprofen use groups (P for interaction = 0.026), respectively. Cause-specific analyses indicated that ibuprofen use could mainly mitigate risks of cardiovascular disease (CVD) especially ischemic heart disease (IHD) mortality attributable to PM2.5 components. Stratified analyses found more apparent mitigating effects of ibuprofen use among participants without chronic diseases, participants ≤50 years, female participants, rural residents, and those with lower education levels. Our findings suggested potential implications in reducing population mortality caused by long-term exposures to PM2.5 and its components through personalized interventions.
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Affiliation(s)
- Wanzhou Wang
- Institute
of Medical Technology, Peking University
Health Science Center, Beijing 100191, China
- National
Institute of Health Data Science at Peking University, Beijing 100191, China
- Renal
Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China
| | - Chao Yang
- Renal
Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China
- Research
Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing 100034, China
- Advanced
Institute of Information Technology, Peking
University, Hangzhou 311215, China
- Digital
Intelligence Medicine Center, Peking University
First Hospital, Beijing 100034, China
| | - Fulin Wang
- Institute
of Medical Technology, Peking University
Health Science Center, Beijing 100191, China
- National
Institute of Health Data Science at Peking University, Beijing 100191, China
| | - Jinwei Wang
- Renal
Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China
- Key
Laboratory of Chronic Kidney Disease Prevention and Treatment, Peking University, Ministry of Education of the People’s
Republic of China, Beijing 100034, China
| | - Feifei Zhang
- Institute
of Medical Technology, Peking University
Health Science Center, Beijing 100191, China
- National
Institute of Health Data Science at Peking University, Beijing 100191, China
| | - Pengfei Li
- Advanced
Institute of Information Technology, Peking
University, Hangzhou 311215, China
| | - Luxia Zhang
- Institute
of Medical Technology, Peking University
Health Science Center, Beijing 100191, China
- National
Institute of Health Data Science at Peking University, Beijing 100191, China
- Renal
Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China
- Research
Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing 100034, China
- Advanced
Institute of Information Technology, Peking
University, Hangzhou 311215, China
- Digital
Intelligence Medicine Center, Peking University
First Hospital, Beijing 100034, China
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9
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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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10
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Ren N, Huang H, Liu B, Wu C, Xiang J, Zhou Q, Kang S, Zhang X, Jiang Y. Interactive effects of atmospheric oxidising pollutants and heat waves on the risk of residential mortality. Glob Health Action 2024; 17:2313340. [PMID: 38381455 PMCID: PMC10883108 DOI: 10.1080/16549716.2024.2313340] [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: 06/08/2023] [Accepted: 01/29/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND The impact of heat waves and atmospheric oxidising pollutants on residential mortality within the framework of global climate change has become increasingly important. OBJECTIVE In this research, the interactive effects of heat waves and oxidising pollutants on the risk of residential mortality in Fuzhou were examined. Methods We collected environmental, meteorological, and residential mortality data in Fuzhou from 1 January 2016, to 31 December 2021. We then applied a generalised additive model, distributed lagged nonlinear model, and bivariate three-dimensional model to investigate the effects and interactions of various atmospheric oxidising pollutants and heat waves on the risk of residential mortality. RESULTS Atmospheric oxidising pollutants increased the risk of residential mortality at lower concentrations, and O3 and Ox were positively associated with a maximum risk of 2.19% (95% CI: 0.74-3.66) and 1.29% (95% CI: 0.51-2.08). The risk of residential mortality increased with increasing temperature, with a strong and long-lasting effect and a maximum cumulative lagged effect of 1.11% (95% CI: 1.01, 1.23). Furthermore, an interaction between atmospheric oxidising pollutants and heat waves may have occurred: the larger effects in the longest cumulative lag time on residential mortality per 10 µg/m3 increase in O3, NO2 and Ox during heat waves compared to non-heat waves were [-3.81% (95% CI: -14.82, 8.63)]; [-0.45% (95% CI: -2.67, 1.81)]; [67.90% (95% CI: 11.55, 152.71)]; 16.37% (95% CI: 2.43, 32.20)]; [-3.00% (95% CI: -20.80, 18.79)]; [-0.30% (95% CI: -3.53, 3.04)]. The risk on heat wave days was significantly higher than that on non-heat wave days and higher than the separate effects of oxidising pollutants and heat waves. CONCLUSIONS Overall, we found some evidence suggesting that heat waves increase the impact of oxidising atmospheric pollutants on residential mortality to some extent.
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Affiliation(s)
- Nan Ren
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Huimin Huang
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Baoying Liu
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Chuancheng Wu
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Jianjun Xiang
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Quan Zhou
- Department of Public Health, Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Shuling Kang
- Department of Public Health, Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Xiaoyang Zhang
- Department of Public Health, Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Yu Jiang
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
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11
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Wang W, Zhang X, Zhang M, Zhang F, Li C, Yang C, Zhao Z, Wang J, Wang F, Li P, Zhou Y, Wang L, Zhang L. Extreme temperature events, "Life's Essential 8", and prevalence of chronic kidney disease: A nationally representative surveillance in China. ENVIRONMENT INTERNATIONAL 2024; 194:109176. [PMID: 39657396 DOI: 10.1016/j.envint.2024.109176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Revised: 11/28/2024] [Accepted: 11/29/2024] [Indexed: 12/12/2024]
Abstract
The population disease burden caused by extreme temperature events has been increasing. However, research on the long-term effects of extreme temperature events on chronic kidney disease (CKD), as well as the combined effects with individual behaviors and metabolic factors is still lacking. Based on 176,874 participants from the most recent nationally representative surveillance on CKD and validated high spatial resolution (0.1°) remote-sensing products, this study investigated the associations between extreme temperature events in the preceding five years before investigation and CKD (defined by reduced renal function or albuminuria) prevalence. We also investigated the associations between "Life's Essential 8", a recognized scale to evaluate overall cardiovascular health (CVH) based on individual behaviors and metabolic indicators and CKD prevalence, as well as its combined effects with extreme temperature events. One additional day of heat waves and cold spells per year was associated with increased ORs of CKD [1.10 (95 % CI: 1.08, 1.11) and 1.07 (95 % CI: 1.05, 1.09), respectively]. Meanwhile, per standard deviation (SD) increment in health behavior score (SD = 16.1), health factor score (SD = 18.4), and overall CVH score (SD = 12.4) were associated with decreased ORs of CKD [0.92 (95 % CI: 0.90, 0.93), 0.60 (95 % CI: 0.59, 0.61), and 0.64 (95 % CI: 0.63, 0.65, respectively]. Relative to higher heat wave & lower CVH score group, the ORs of CKD were 0.87 (95 % CI: 0.84, 0.90), 0.51 (95 % CI: 0.48, 0.53), and 0.42 (95 % CI: 0.40, 0.44) in lower & lower, higher & higher, and lower & higher group, respectively. Our findings underscore the importance of considering the synergistic effects of individual behavioral and metabolic factors for strategies to mitigate the impacts of climate change on CKD.
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Affiliation(s)
- Wanzhou Wang
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, People's Republic of China; National Institute of Health Data Science at Peking University, Beijing 100191, People's Republic of China; Center for Digital Health and Artificial Intelligence, Peking University First Hospital, Beijing 100034, People's Republic of China
| | - Xiao Zhang
- National Center for Chronic and Noncommunicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Mei Zhang
- National Center for Chronic and Noncommunicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Feifei Zhang
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, People's Republic of China; National Institute of Health Data Science at Peking University, Beijing 100191, People's Republic of China; Center for Digital Health and Artificial Intelligence, Peking University First Hospital, Beijing 100034, People's Republic of China
| | - Chun Li
- National Center for Chronic and Noncommunicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Chao Yang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, People's Republic of China; Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing 100034, People's Republic of China; Advanced Institute of Information Technology, Peking University, Hangzhou 311215, People's Republic of China; Center for Digital Health and Artificial Intelligence, Peking University First Hospital, Beijing 100034, People's Republic of China
| | - Zhenping Zhao
- National Center for Chronic and Noncommunicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Jinwei Wang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, People's Republic of China; Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing 100034, People's Republic of China
| | - Fulin Wang
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, People's Republic of China; National Institute of Health Data Science at Peking University, Beijing 100191, People's Republic of China
| | - Pengfei Li
- Advanced Institute of Information Technology, Peking University, Hangzhou 311215, People's Republic of China
| | - Ying Zhou
- Center for Smart and Healthy Buildings, Huazhong University of Science and Technology, Wuhan, Hubei 430074, People's Republic of China
| | - Limin Wang
- National Center for Chronic and Noncommunicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China.
| | - Luxia Zhang
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, People's Republic of China; National Institute of Health Data Science at Peking University, Beijing 100191, People's Republic of China; Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, People's Republic of China; Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing 100034, People's Republic of China; Advanced Institute of Information Technology, Peking University, Hangzhou 311215, People's Republic of China; Center for Digital Health and Artificial Intelligence, Peking University First Hospital, Beijing 100034, People's Republic of China.
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12
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Alisoltani T, Shafiepour Motlagh M, Ashrafi K. Concurrent heat stress and air pollution episodes by considering future projection of climate change. Sci Rep 2024; 14:29301. [PMID: 39592666 PMCID: PMC11599847 DOI: 10.1038/s41598-024-78700-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 11/04/2024] [Indexed: 11/28/2024] Open
Abstract
The simultaneous effect of heat stress and air pollutants such as ozone can cause many health issues in cities. The situation exacerbates in the context of climate change and temperature rise. Furthermore, ground-level ozone, worsened by climate change, needs investigation for effective management. Therefore, this study projects heat stress and ozone levels in two Coupled Model Intercomparison Project Phase 6 (CMIP6) climate scenarios, SSP245 and SSP585. Results indicate heightened heat stress with increased ozone levels, especially in severe climate scenarios like SSP585. Besides, the study shows that in the SSP245 and SSP585 scenarios, the seasonal shift of high Heat Index (HI) values as well as high ozone concentrations is happening toward the previous months of June-July-August (JJA). High values in the HI classification and the Maximum Daily 8-hour average (MDA8) ozone happen sooner in the March-April-May (MAM) months than the expected JJA months. Furthermore, in the SSP585 scenario, the HI classification above 105 (very hot equal to danger category) is 10% high in all months in comparison to the SSP245 scenario. The study emphasizes the importance of understanding the interactions between heat stress and ozone pollution for implementing effective adaptation and mitigation measures.
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13
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Gui ZH, Heinrich J, Morawska L, Zhao TY, Yim SHL, Lao XQ, Gao M, Chen DH, Ma HM, Lin LZ, Liu RQ, Dong GH. Long-term exposure to ozone and sleep disorders in children: A multicity study in China. ENVIRONMENTAL RESEARCH 2024; 260:119553. [PMID: 38964573 DOI: 10.1016/j.envres.2024.119553] [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: 02/22/2024] [Revised: 06/01/2024] [Accepted: 07/02/2024] [Indexed: 07/06/2024]
Abstract
Evidence regarding the link between long-term ambient ozone (O3) exposure and childhood sleep disorders is little. This study aims to examine the associations between long-term exposure to O3 and sleep disorders in children. We conducted a population-based cross-sectional survey, including 185,428 children aged 6-18 years in 173 schools across 14 Chinese cities during 2012 and 2018. Parents or guardians completed a checklist using Sleep Disturbance Scale for Children, and O3 exposure at residential and school addresses was estimated using a satellite-based spatiotemporal model. We used generalized linear mixed models to test the associations with adjustment for factors including socio-demographic variables, lifestyle, meteorology and multiple pollutants. Mean concentrations of O3, particulate matter with diameters ≤2.5 mm (PM2.5) and nitrogen dioxide (NO2) were 89.0 μg/m3, 42.5 μg/m3 and 34.4 μg/m3, respectively. O3 and NO2 concentrations were similar among provinces, while PM2.5 concentration varied significantly among provinces. Overall, 19.4% of children had at least one sleep disorder. Long-term exposure to O3 was positively associated with odds of sleep disorders for all subtypes. For example, each interquartile increment in home-school O3 concentrations was associated with a higher odds ratio for global sleep disorder, at 1.22 (95% confidence interval: 1.18, 1.26). Similar associations were observed for sleep disorder subtypes. The associations remained similar after adjustment for PM2.5 and NO2. Moreover, these associations were heterogeneous regionally, with more prominent associations among children residing in southeast region than in northeast and northwest regions in China. We concluded that long-term exposure to O3 is positively associated with risks of childhood sleep disorders. These associations varied by geographical region of China.
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Affiliation(s)
- Zhao-Huan Gui
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Joachim Heinrich
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich, German Center for Lung Research, Munich, Germany; Allergy and Lung Health Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Lidia Morawska
- International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, Australia
| | - Tian-Yu Zhao
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich, German Center for Lung Research, Munich, Germany
| | - Steve Hung-Lam Yim
- Asian School of the Environment, Lee Kong Chian School of Medicine, Earth Observatory of Singapore, Nanyang Technological University (NTU), Singapore
| | - Xiang-Qian Lao
- Department of Biomedical Sciences, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR, China
| | - Meng Gao
- Department of Geography, Hong Kong Baptist University, Hong Kong SAR, China
| | - Duo-Hong Chen
- Department of Air Quality Forecasting and Early Warning, Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, China
| | - Hui-Min Ma
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China
| | - Li-Zi Lin
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Ru-Qing Liu
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Guang-Hui Dong
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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14
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Zhao K, He F, Zhang B, Liu C, Hu Y, Dong Y, Zhang P, Liu C, Wei J, Lu Z, Guo X, Huang Q, Jia X, Mi J. Short-term ozone exposure on stroke mortality and mitigation by greenness in rural and urban areas of Shandong Province, China. BMC Public Health 2024; 24:2955. [PMID: 39449115 PMCID: PMC11515287 DOI: 10.1186/s12889-024-20454-4] [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: 04/15/2024] [Accepted: 10/17/2024] [Indexed: 10/26/2024] Open
Abstract
BACKGROUND Short-term exposure to ozone (O3) has been associated with higher stroke mortality, but it is unclear whether this association differs between urban and rural areas. The study aimed to compare the association between short-term exposure to O3 and ischaemic and haemorrhagic stroke mortality across rural and urban areas and further investigate the potential impacts of modifiers, such as greenness, on this association. METHODS A multi-county time-series analysis was carried out in 19 counties of Shandong Province from 2013 to 2019. First, we employed generalized additive models (GAMs) to assess the effects of O3 on stroke mortality in each county. We performed random-effects meta-analyses to pool estimates to counties and compare differences in rural and urban areas. Furthermore, a meta-regression model was utilized to assess the moderating effects of county-level features. RESULTS Short-term O3 exposure was found to be associated with increased mortality for both stroke subtypes. For each 10-µg/m3 (lag0-3) rise in O3, ischaemic stroke mortality rose by 1.472% in rural areas and 1.279% in urban areas. For each 0.1-unit increase in the Enhanced Vegetation Index (EVI) per county, the ischaemic stroke mortality caused by a 10-µg/m3 rise in O3 decreased by 0.60% overall and 1.50% in urban areas. CONCLUSIONS Our findings add to the evidence that short-term O3 exposure increases ischaemic and haemorrhagic stroke mortality and has adverse effects in urban and rural areas. However, improving greenness levels may contribute to mitigating the detrimental effects of O3 on ischaemic stroke mortality.
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Affiliation(s)
- Ke Zhao
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Longzihu District, Bengbu, 233000, China
| | - Fenfen He
- Department of Occupational and Environmental Health and the Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, Xian, China
| | - Bingyin Zhang
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Chengrong Liu
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Longzihu District, Bengbu, 233000, China
| | - Yang Hu
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Longzihu District, Bengbu, 233000, China
| | - Yilin Dong
- Liaocheng Centre for Disease Control and Prevention, Liaocheng, China
| | - Peiyao Zhang
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Longzihu District, Bengbu, 233000, China
| | - Chao Liu
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Longzihu District, Bengbu, 233000, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, 20740, USA
| | - Zilong Lu
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Xiaolei Guo
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Qing Huang
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Longzihu District, Bengbu, 233000, China
| | - Xianjie Jia
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Longzihu District, Bengbu, 233000, China.
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
| | - Jing Mi
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Longzihu District, Bengbu, 233000, China.
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15
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Li D, Liu Y, Zhang W, Shi T, Zhao X, Zhao X, Zheng H, Li R, Wang T, Ren X. The association between the scarlet fever and meteorological factors, air pollutants and their interactions in children in northwest China. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2024; 68:1989-2002. [PMID: 38884798 DOI: 10.1007/s00484-024-02722-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 05/08/2024] [Accepted: 06/05/2024] [Indexed: 06/18/2024]
Abstract
Scarlet fever (SF) is an acute respiratory transmitted disease that primarily affects children. The influence of meteorological factors and air pollutants on SF in children has been proved, but the relevant evidence in Northwest China is still lacking. Based on the weekly reported cases of SF in children in Lanzhou, northwest China, from 2014 to 2018, we used geographical detectors, distributed lag nonlinear models (DLNM), and bivariate response models to explore the influence of meteorological factors and air pollutants with SF. It was found that ozone (O3), carbon monoxide (CO), sulfur dioxide (SO2), temperature, pressure, water vapor pressure and wind speed were significantly correlated with SF based on geographical detectors. With the median as reference, the influence of high temperature, low pressure and high pressure on SF has a risk effect (relative risk (RR) > 1), and under extreme conditions, the dangerous effect was still significant. High O3 had the strongest effect at a 6-week delay, with an RR of 5.43 (95%CI: 1.74,16.96). The risk effect of high SO2 was strongest in the week of exposure, and the maximum risk effect was 1.37 (95%CI: 1.08,1.73). The interactions showed synergistic effects between high temperatures and O3, high pressure and high SO2, high nitrogen dioxide (NO2) and high particulate matter with diameter of less than 10 μm (PM10), respectively. In conclusion, high temperature, pressure, high O3 and SO2 were the most important factors affecting the occurrence of SF in children, which will provide theoretical support for follow-up research and disease prevention policy formulation.
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Affiliation(s)
- Donghua Li
- School of Public Health, Lanzhou University, Chengguan District, Lanzhou City, 730000, Gansu Province, China
| | - Yanchen Liu
- Fu Wai Hospital, Chinese Academy of Medical Sciences, Shenzhen Hospital, Nanshan District, Shenzhen city, 518000, Guangdong Province, China
| | - Wei Zhang
- Lanzhou Center for Disease Control and Prevention, Chengguan District, Lanzhou City, 733000, Gansu Province, China
| | - Tianshan Shi
- School of Public Health, Lanzhou University, Chengguan District, Lanzhou City, 730000, Gansu Province, China
| | - Xiangkai Zhao
- School of Public Health, Zhengzhou University, Zhongyuan District, Zhengzhou City, 450001, Henan Province, China
| | - Xin Zhao
- School of Public Health, Lanzhou University, Chengguan District, Lanzhou City, 730000, Gansu Province, China
| | - Hongmiao Zheng
- School of Public Health, Lanzhou University, Chengguan District, Lanzhou City, 730000, Gansu Province, China
| | - Rui Li
- School of Public Health, Lanzhou University, Chengguan District, Lanzhou City, 730000, Gansu Province, China
| | - Tingrong Wang
- School of Public Health, Lanzhou University, Chengguan District, Lanzhou City, 730000, Gansu Province, China
| | - Xiaowei Ren
- School of Public Health, Lanzhou University, Chengguan District, Lanzhou City, 730000, Gansu Province, China.
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Kazi DS, Katznelson E, Liu CL, Al-Roub NM, Chaudhary RS, Young DE, Mcnichol M, Mickley L, Kramer DB, Cascio WE, Bernstein AS, Rice MB. Climate Change and Cardiovascular Health: A Systematic Review. JAMA Cardiol 2024; 9:748-757. [PMID: 38865135 PMCID: PMC11366109 DOI: 10.1001/jamacardio.2024.1321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/13/2024]
Abstract
Importance Climate change may increase the risk of adverse cardiovascular outcomes by causing direct physiologic changes, psychological distress, and disruption of health-related infrastructure. Yet, the association between numerous climate change-related environmental stressors and the incidence of adverse cardiovascular events has not been systematically reviewed. Objective To review the current evidence on the association between climate change-related environmental stressors and adverse cardiovascular outcomes. Evidence Review PubMed, Embase, Web of Science, and Cochrane Library were searched to identify peer-reviewed publications from January 1, 1970, through November 15, 2023, that evaluated associations between environmental exposures and cardiovascular mortality, acute cardiovascular events, and related health care utilization. Studies that examined only nonwildfire-sourced particulate air pollution were excluded. Two investigators independently screened 20 798 articles and selected 2564 for full-text review. Study quality was assessed using the Navigation Guide framework. Findings were qualitatively synthesized as substantial differences in study design precluded quantitative meta-analysis. Findings Of 492 observational studies that met inclusion criteria, 182 examined extreme temperature, 210 ground-level ozone, 45 wildfire smoke, and 63 extreme weather events, such as hurricanes, dust storms, and droughts. These studies presented findings from 30 high-income countries, 17 middle-income countries, and 1 low-income country. The strength of evidence was rated as sufficient for extreme temperature; ground-level ozone; tropical storms, hurricanes, and cyclones; and dust storms. Evidence was limited for wildfire smoke and inadequate for drought and mudslides. Exposure to extreme temperature was associated with increased cardiovascular mortality and morbidity, but the magnitude varied with temperature and duration of exposure. Ground-level ozone amplified the risk associated with higher temperatures and vice versa. Extreme weather events, such as hurricanes, were associated with increased cardiovascular risk that persisted for many months after the initial event. Some studies noted a small increase in cardiovascular mortality, out-of-hospital cardiac arrests, and hospitalizations for ischemic heart disease after exposure to wildfire smoke, while others found no association. Older adults, racial and ethnic minoritized populations, and lower-wealth communities were disproportionately affected. Conclusions and Relevance Several environmental stressors that are predicted to increase in frequency and intensity with climate change are associated with increased cardiovascular risk, but data on outcomes in low-income countries are lacking. Urgent action is needed to mitigate climate change-associated cardiovascular risk, particularly in vulnerable populations.
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Affiliation(s)
- Dhruv S. Kazi
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Harvard Global Health Institute, Cambridge, Massachusetts
| | - Ethan Katznelson
- Department of Cardiology, Weill Cornell Medical Center, New York, NY, United States
| | - Chia-Liang Liu
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Nora M. Al-Roub
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Richard S. Chaudhary
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Diane E. Young
- Knowledge Services, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Megan Mcnichol
- Knowledge Services, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Loretta Mickley
- School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts
| | - Daniel B. Kramer
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Wayne E. Cascio
- United States Environmental Protection Agency, Durham, North Carolina
| | - Aaron S. Bernstein
- Harvard Medical School, Boston, Massachusetts
- Harvard Global Health Institute, Cambridge, Massachusetts
- Center for Climate, Health, and Global Environment, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of General Pediatrics, Boston Children’s Hospital
| | - Mary B. Rice
- Harvard Medical School, Boston, Massachusetts
- Pulmonary, Critical Care & Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
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Liang S, Chen Y, Sun X, Dong X, He G, Pu Y, Fan J, Zhong X, Chen Z, Lin Z, Ma W, Liu T. Long-term exposure to ambient ozone and cardiovascular diseases: Evidence from two national cohort studies in China. J Adv Res 2024; 62:165-173. [PMID: 37625570 PMCID: PMC11331174 DOI: 10.1016/j.jare.2023.08.010] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023] Open
Abstract
INTRODUCTION The health effects of ambient ozone have been investigated in many previous studies. However, the effects of long-term exposure to ambient ozone on the incidence of cardiovascular disease (CVD) remain inconclusive. OBJECTIVES To estimate the associations of long-term exposure to maximum daily 8-hours average ozone (MDA8 O3) with the incidence of total CVD, heart disease, hypertension, and stroke. METHODS This was a prospective cohort study, and the data was obtained from the China Health and Retirement Longitudinal Survey (CHARLS) implemented during 2011-2018 and the China Family Panel Studies (CFPS) implemented during 2010-2018. We applied a Cox proportional hazards regression model to evaluate the associations of MDA8 O3 with total CVD, heart disease, hypertension, and stroke risks, and the corresponding population-attributable fractions (PAF) attributable to MDA8 O3 were also calculated. All analyses were conducted by R software. RESULTS The mean MDA8 O3 concertation of all included participants in the CHARLS and CFPS were 51.03 part per billion (ppb) and 51.15 ppb, respectively. In the CHARLS including 18,177 participants, each 10 ppb increment in MDA8 O3 concentration was associated with a 31% increase [hazard ratio (HR) = 1.31, 95% confidence interval (CI): 1.22-1.42] in the risk of incident heart disease, and the corresponding population-attributable fractions (PAF) was 13.79% [10.12%-17.32%]. In the CFPS including 30,226 participants, each 10 ppb increment in MDA8 O3 concentration was associated with an increase in the risk of incident total CVD (1.07 [1.02-1.13]), and hypertension (1.10 [1.03-1.18]). The PAFs of total CVD, and hypertension attributable to MDA8 O3 were 3.53% [0.82%-6.16%], and 5.11% [1.73%-8.38%], respectively. Stratified analyses showed greater associations in males, urban areas, and Southern China. CONCLUSIONS Long-term exposure to MDA8 O3 may increase the incidence of CVD. Therefore, the policies that control O3 and related precursors are persistently needed.
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Affiliation(s)
- Shuru Liang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Yumeng Chen
- Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University, Foshan 528000, China
| | - Xiaoli Sun
- Gynecology Department, Guangdong Women and Children Hospital, Guangzhou 511442, China
| | - Xiaomei Dong
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Yudong Pu
- Songshan Lake Central Hospital of Dongguan City, Dongguan 523808, China
| | - Jingjie Fan
- Department of Prevention and Health Care, Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen 518028, China
| | - Xinqi Zhong
- Department of Neonatology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China
| | - Zhiqing Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Ziqiang Lin
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China.
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18
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Li J, Ma Y, Li F, Zeng Z, Zhu H, Wang C, Wang L, Li K, Wang X, Ning P, Wang F. Stable O 3 Decomposition by Layered Double Hydroxides: The Pivotal Role of NiOOH Transformation. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:10696-10705. [PMID: 38845125 DOI: 10.1021/acs.est.4c01312] [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: 06/19/2024]
Abstract
Because ozone (O3) is a significant air pollutant, advanced O3 elimination technologies, particularly those under high-humidity conditions, have become an essential research focus. In this study, a nickel-iron layered double hydroxide (NiFe-LDH) was modified via intercalation with octanoate to develop an effective hydrophobic catalyst (NiFe-OAa-LDH) for O3 decomposition. The NiFe-OAa-LDH catalyst sustained its O3 decomposition rate of >98% for 48 h under conditions of 90% relative humidity, 840 L/(g·h) space velocity, and 100 ppm inlet O3 concentration. Moreover, it maintained a decomposition rate of 90% even when tested at a higher airflow rate of 2500 L/(g·h). Based on the changes induced by the Ni-OII to Ni-OIII bonds in NiFe-OAa-LDH during O3 treatment, catalytic O3 decomposition was proposed to occur in two stages. The first stage involved the reaction between the hydroxyl groups and O3, leading to the breakage of the O-H bonds, formation of NiOOH, and structural changes in the catalyst. This transformation resulted in the formation of abundant and stable hydrogen vacancies. According to density functional theory calculations, O3 can be effectively decomposed at the hydrogen vacancies with a low energy barrier during the second stage. This study provides new insights into O3 decomposition.
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Affiliation(s)
- Jiaqi Li
- Environmental Science and Engineering, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
| | - Yixing Ma
- Environmental Science and Engineering, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
| | - Fengyu Li
- Environmental Science and Engineering, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
| | - Ziruo Zeng
- Environmental Science and Engineering, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
| | - Hengxi Zhu
- Environmental Science and Engineering, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
| | - Chunxue Wang
- Environmental Science and Engineering, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
| | - Langlang Wang
- Environmental Science and Engineering, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
| | - Kai Li
- Environmental Science and Engineering, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
| | - Xueqian Wang
- Environmental Science and Engineering, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
| | - Ping Ning
- Environmental Science and Engineering, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
| | - Fei Wang
- Environmental Science and Engineering, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
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Zhu L, Fang J, Yao Y, Yang Z, Wu J, Ma Z, Liu R, Zhan Y, Ding Z, Zhang Y. Long-term ambient ozone exposure and incident cardiovascular diseases: National cohort evidence in China. JOURNAL OF HAZARDOUS MATERIALS 2024; 471:134158. [PMID: 38636234 DOI: 10.1016/j.jhazmat.2024.134158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 03/07/2024] [Accepted: 03/27/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Long-term ozone (O3) exposure has been associated with cardiovascular disease (CVD) mortality in mounting cohort evidence, yet its relationship with incident CVD was poorly understood, especially in low- and middle-income countries (LMICs) experiencing high ambient air pollution. METHODS We carried out a nationwide perspective cohort study from 2010 through 2018 by dynamically enrolling 36948 participants across Chinese mainland. Warm-season (April-September) O3 concentrations were estimated using satellite-based machine-learning models with national coverage. Cox proportional hazards model with time-varying exposures was employed to evaluate the association of long-term O3 exposure with incident CVD (overall CVD, hypertension, stroke, and coronary heart disease [CHD]). Assuming causality, a counterfactual framework was employed to estimate O3-attributable CVD burden based on the exposure-response (E-R) relationship obtained from this study. Decomposition analysis was utilized to quantify the contributions of four key direct driving factors (O3 exposure, population size, age structure, and incidence rate) to the net change of O3-related CVD cases between 2010 and 2018. RESULTS A total of 4428 CVD, 2600 hypertension, 1174 stroke, and 337 CHD events were reported during 9-year follow-up. Each 10-μg/m³ increase in warm-season O3 was associated with an incident risk of 1.078 (95% confidence interval [CI]: 1.050-1.106) for overall CVD, 1.098 (95% CI: 1.062-1.135) for hypertension, 1.073 (95% CI: 1.019-1.131) for stroke, and 1.150 (95% CI: 1.038-1.274) for CHD, respectively. We observed no departure from linear E-R relationships of O3 exposure with overall CVD (Pnonlinear= 0.22), hypertension (Pnonlinear= 0.19), stroke (Pnonlinear= 0.70), and CHD (Pnonlinear= 0.44) at a broad concentration range of 60-160 µg/m3. Compared with rural dwellers, those residing in urban areas were at significantly greater O3-associated incident risks of overall CVD, hypertension, and stroke. We estimated 1.22 million (10.6% of overall CVD in 2018) incident CVD cases could be attributable to ambient O3 pollution in 2018, representing an overall 40.9% growth (0.36 million) compared to 2010 (0.87 million, 9.7% of overall CVD in 2010). This remarkable rise in O3-attributable CVD cases was primary driven by population aging (+24.0%), followed by increase in O3 concentration (+10.5%) and population size (+6.7%). CONCLUSIONS Long-term O3 exposure was associated with an elevated risk and burden of incident CVD in Chinese adults, especially among urban dwellers. Our findings underscored policy priorities of implementing joint control measures for fine particulate matter and O3 in the context of accelerated urbanization and population aging in China.
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Affiliation(s)
- Lifeng Zhu
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Jiaying Fang
- Huadu District People's Hospital of Guangzhou, Guangzhou 510800, China
| | - Yao Yao
- China Center for Health Development Studies, Peking University, Beijing 100871, China
| | - Zhiming Yang
- School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China
| | - Jing Wu
- China Center for Health Development Studies, Peking University, Beijing 100871, China
| | - Zongwei Ma
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Riyang Liu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Yu Zhan
- Department of Environmental Science and Engineering, Sichuan University, Chengdu 610065, China
| | - Zan Ding
- Baoan Central Hospital of Shenzhen, Shenzhen 518102, China.
| | - Yunquan Zhang
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China.
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Yan M, Li T. A Review of the Interactive Effects of Climate and Air Pollution on Human Health in China. Curr Environ Health Rep 2024; 11:102-108. [PMID: 38351403 DOI: 10.1007/s40572-024-00432-z] [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] [Accepted: 01/27/2024] [Indexed: 05/12/2024]
Abstract
PURPOSE OF REVIEW Through a systematic search of peer-reviewed epidemiologic studies, we reviewed the literature on the human health impacts of climate and ambient air pollution, focusing on recently published studies in China. Selected previous literature is discussed where relevant in tracing the origins. RECENT FINDINGS Climate variables and air pollution have a complex interplay in affecting human health. The bulk of the literature we reviewed focuses on the air pollutants ozone and fine particulate matter and temperatures (including hot and cold extremes). The interaction between temperature and ozone presented substantial interaction, but evidence about the interactive effects of temperature with other air pollutants is inconsistent. Most included studies used a time-series design, usually with daily mean temperature and air pollutant concentration as independent variables. Still, more needs to be studied about the co-occurrence of climate and air pollution. The co-occurrence of extreme climate and air pollution events is likely to become an increasing health risk in China and many parts of the world as climate changes. Climate change can interact with air pollution exposure to amplify risks to human health. Challenges and opportunities to assess the combined effect of climate variables and air pollution on human health are discussed in this review. Implications from epidemiological studies for implementing coordinated measures and policies for addressing climate change and air pollution will be critical areas of future work.
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Affiliation(s)
- Meilin Yan
- School of Ecology and Environment, Beijing Technology and Business University, Beijing, China
| | - Tiantian Li
- CDC Key Laboratory of Environment and Population Health, Chinese Center for Disease Control and Prevention, National Institute of Environmental Health, Beijing, China.
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21
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Cao H, Xu R, Liang Y, Li Q, Jiang W, Jin Y, Wang W, Yuan J. Effects of extreme meteorological factors and high air pollutant concentrations on the incidence of hand, foot and mouth disease in Jining, China. PeerJ 2024; 12:e17163. [PMID: 38766480 PMCID: PMC11102053 DOI: 10.7717/peerj.17163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 03/06/2024] [Indexed: 05/22/2024] Open
Abstract
Background The evidence on the effects of extreme meteorological conditions and high air pollution levels on incidence of hand, foot and mouth disease (HFMD) is limited. Moreover, results of the available studies are inconsistent. Further investigations are imperative to elucidate the specific issue. Methods Data on the daily cases of HFMD, meteorological factors and air pollution were obtained from 2017 to 2022 in Jining City. We employed distributed lag nonlinear model (DLNM) incorporated with Poisson regression to explore the impacts of extreme meteorological conditions and air pollution on HFMD incidence. Results We found that there were nonlinear relationships between temperature, wind speed, PM2.5, SO2, O3 and HFMD. The cumulative risk of extreme high temperature was higher at the 95th percentile (P95th) than at the 90th percentile(P90th), and the RR values for both reached their maximum at 10-day lag (P95th RR = 1.880 (1.261-2.804), P90th RR = 1.787 (1.244-2.569)), the hazardous effect of extreme low temperatures on HFMD is faster than that of extreme high temperatures. The cumulative effect of extreme low wind speeds reached its maximum at 14-day lag (P95th RR = 1.702 (1.389-2.085), P90th RR = 1.498(1.283-1.750)). The cumulative effect of PM2.5 concentration at the P90th was largest at 14-day lag (RR = 1.637 (1.069-2.506)), and the cumulative effect at the P95th was largest at 10-day lag (RR = 1.569 (1.021-2.411)). High SO2 concentration at the P95th at 14-day lag was associated with higher risk for HFMD (RR: 1.425 (1.001-2.030)). Conclusion Our findings suggest that high temperature, low wind speed, and high concentrations of PM2.5 and SO2 are associated with an increased risk of HFMD. This study not only adds insights to the understanding of the impact of extreme meteorological conditions and high levels of air pollutants on HFMD incidence but also holds practical significance for the development and enhancement of an early warning system for HFMD.
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Affiliation(s)
- Haoyue Cao
- School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, China
| | - Rongrong Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Yongmei Liang
- Business Management Department, Jining Center For Disease Control And Prevention, Jining, Shandong, China
| | - Qinglin Li
- School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, China
| | - Wenguo Jiang
- Infectious Disease Prevention and Control Department, Jining Center For Disease Control And Prevention, Jining, Shandong, China
| | - Yudi Jin
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wenjun Wang
- Weifang Nursing Vocational College, Weifang, Shandong, China
| | - Juxiang Yuan
- School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, China
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22
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Du H, Yan M, Liu X, Zhong Y, Ban J, Lu K, Li T. Exposure to Concurrent Heatwaves and Ozone Pollution and Associations with Mortality Risk: A Nationwide Study in China. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:47012. [PMID: 38662525 PMCID: PMC11045006 DOI: 10.1289/ehp13790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 02/01/2024] [Accepted: 03/18/2024] [Indexed: 04/28/2024]
Abstract
BACKGROUND Concurrent extreme events are projected to occur more frequently under a changing climate. Understanding the mortality risk and burden of the concurrent heatwaves and ozone (O 3 ) pollution may support the formulation of adaptation strategies and early warning systems for concurrent events in the context of climate change. OBJECTIVES We aimed to estimate the mortality risk and excess deaths of concurrent heatwaves and O 3 pollution across 250 counties in China. METHODS We collected daily mortality, meteorological, and air pollution data for the summer (1 June to 30 September) during 2013-2018. We defined heatwaves and high O 3 pollution days, then we divided the identified days into three categories: a) days with only heatwaves (heatwave-only event), b) days with only high O 3 pollution (high O 3 pollution-only event), and c) days with concurrent heatwaves and high O 3 pollution (concurrent event). A generalized linear model with a quasi-Poisson regression was used to estimate the risk of mortality associated with extreme events for each county. Then we conducted a random-effects meta-analysis to pool the county-specific estimates to derive the overall effect estimates. We used mixed-effects meta-regression to identify the drivers of the heterogeneity. Finally, we estimated the excess death attributable to extreme events (heatwave-only, high O 3 pollution-only, and concurrent events) from 2013 to 2020. RESULTS A higher all-cause mortality risk was associated with exposure to the concurrent heatwaves and high O 3 pollution than exposure to a heatwave-only or a high O 3 pollution-only event. The effects of a concurrent event on circulatory and respiratory mortality were higher than all-cause and nonaccidental mortality. Sex and age significantly impacted the association of concurrent events and heatwave-only events with all-cause mortality. We estimated that annual average excess deaths attributed to the concurrent events were 6,249 in China from 2017 to 2020, 5.7 times higher than the annual average excess deaths attributed to the concurrent events from 2013 to 2016. The annual average proportion of excess deaths attributed to the concurrent events in the total excess deaths caused by three types of events (heatwave-only events, high O 3 pollution-only events, and concurrent events) increased significantly in 2017-2020 (31.50%; 95% CI: 26.73%, 35.53%) compared with 2013-2016 (9.65%; 95% CI: 5.67%, 10.81%). Relative excess risk due to interaction revealed positive additive interaction considering the concurrent effect of heatwaves and high O 3 pollution. DISCUSSION Our findings may provide scientific basis for establishing a concurrent event early warning system to reduce the adverse health impact of the concurrent heatwaves and high O 3 pollution. https://doi.org/10.1289/EHP13790.
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Affiliation(s)
- Hang Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Meilin Yan
- Department of Environmental Science and Engineering, School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing, China
| | - Xin Liu
- Energy Foundation China, Beijing, China
| | - Yu Zhong
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jie Ban
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Kailai Lu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
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Tong M, Wang M, Li P, Gong J, Zhu T, Xue T. The short-term effect of ozone on pregnancy loss modified by temperature: Findings from a nationwide epidemiological study in the contiguous United States. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 902:166088. [PMID: 37549698 PMCID: PMC10592165 DOI: 10.1016/j.scitotenv.2023.166088] [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: 05/15/2023] [Revised: 07/18/2023] [Accepted: 08/04/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND Pregnancy loss, a major health issue that affects human sustainability, has been linked to short-term exposure to ground-surface ozone (O3). However, the association is inconsistent, possibly because of the co-occurrence of O3 and heat episodes, as increased temperature is a risk factor for pregnancy loss. To explain this inconsistency, the effect of O3 on pregnancy loss needs to be examined jointly with that of high temperature. METHODS A total of 247,305 pregnancy losses during the warm season were extracted from fetal death certificates from the 386 counties in contiguous United States from 1989 to 2005. We assessed environmental exposure based on the daily maximum 8 h average of O3 from Air Quality System monitors and the 24 h average temperature from the North American Regional Reanalysis product. We conducted a bidirectional, time-stratified case-crossover study of the association between pregnancy loss and exposures to O3 and temperature and their multiplicative interaction. The main time window for the exposure assessment was the day of case occurrence and the preceding 3 days. To estimate the association, we used conditional logistic regression with adjustment for relative humidity, height of the planetary boundary layer, and holidays. Sensitivity analyses were performed on the lagged structure, nonlinearity, and between-subpopulation heterogeneity of the estimated joint effect. RESULTS The joint effect was first estimated by the regression against categorical exposure by tertile. Compared to the low-low exposure group (O3 ≤ 78 μg/m3 and temperature ≤ 18 °C), the odds of pregnancy loss was significantly higher by 6.0 % (95 % confidence interval [CI] 2.4-9.7 %), 9.8 % (6.1-13.8 %), and 7.5 % (4.7-10.3 %) in the high-low (>104 μg/m3 and ≤18 °C), low-high (≤78 μg/m3 and >23 °C), and high-high (>104 μg/m3 and >23 °C) groups. The model of linear exposure and the multiplicative interaction yielded similar results. Each increment of 10 μg/m3 in O3 and 1 °C in temperature was associated with a 3.0 % (2.0 %-4.0 %) and 3.9 % (3.5 %-4.3 %), respectively, increase in the odds of pregnancy loss. A decrease in odds of 0.2 % (0.1 %-0.2 %) was associated with the temperature × O3 interaction. The finding of an antagonistic interaction between temperature and O3 was confirmed by models parametrizing the joint exposure as alternative nonlinear terms (i.e., a two-dimensional spline term or a varying-coefficient term) and was robust to a variety of exposure lags and stratifications. Therefore, the marginal effect of O3 was estimated to vary by climate zone. A significant association between O3 and pregnancy loss was observed in the northern, but not southern, United States. CONCLUSION Joint exposure to O3 and high temperature can increase the risk for pregnancy loss. The adverse effect of O3 is potentially modified by ambient temperature. In high-latitude cities, controlling for O3 pollution could protect maternal health.
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Affiliation(s)
- Mingkun Tong
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Center, Beijing, China
| | - Meng Wang
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY 14214, United States; Research and Education in Energy, Environment and Water Institute, University at Buffalo, Buffalo, NY 14214, United States; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98115, United States
| | - Pengfei Li
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Center, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, China; National Institute of Health Data Science, Peking University, Beijing, China
| | - Jicheng Gong
- College of Environmental Sciences and Engineering, Peking University, Beijing, China; State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management and Center for Environment and Health, Peking University, Beijing, China
| | - Tong Zhu
- College of Environmental Sciences and Engineering, Peking University, Beijing, China; State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management and Center for Environment and Health, Peking University, Beijing, China
| | - Tao Xue
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Center, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, China; State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management and Center for Environment and Health, Peking University, Beijing, China.
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24
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Stafoggia M, Michelozzi P, Schneider A, Armstrong B, Scortichini M, Rai M, Achilleos S, Alahmad B, Analitis A, Åström C, Bell ML, Calleja N, Krage Carlsen H, Carrasco G, Paul Cauchi J, Dszs Coelho M, Correa PM, Diaz MH, Entezari A, Forsberg B, Garland RM, Leon Guo Y, Guo Y, Hashizume M, Holobaca IH, Íñiguez C, Jaakkola JJK, Kan H, Katsouyanni K, Kim H, Kyselý J, Lavigne E, Lee W, Li S, Maasikmets M, Madureira J, Mayvaneh F, Fook Sheng Ng C, Nunes B, Orru H, V Ortega N, Osorio S, Palomares ADL, Pan SC, Pascal M, Ragettli MS, Rao S, Raz R, Roye D, Ryti N, Hn Saldiva P, Samoli E, Schwartz J, Scovronick N, Sera F, Tobias A, Tong S, Dlc Valencia C, Maria Vicedo-Cabrera A, Urban A, Gasparrini A, Breitner S, De' Donato FK. Joint effect of heat and air pollution on mortality in 620 cities of 36 countries. ENVIRONMENT INTERNATIONAL 2023; 181:108258. [PMID: 37837748 PMCID: PMC10702017 DOI: 10.1016/j.envint.2023.108258] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 09/08/2023] [Accepted: 10/09/2023] [Indexed: 10/16/2023]
Abstract
BACKGROUND The epidemiological evidence on the interaction between heat and ambient air pollution on mortality is still inconsistent. OBJECTIVES To investigate the interaction between heat and ambient air pollution on daily mortality in a large dataset of 620 cities from 36 countries. METHODS We used daily data on all-cause mortality, air temperature, particulate matter ≤ 10 μm (PM10), PM ≤ 2.5 μm (PM2.5), nitrogen dioxide (NO2), and ozone (O3) from 620 cities in 36 countries in the period 1995-2020. We restricted the analysis to the six consecutive warmest months in each city. City-specific data were analysed with over-dispersed Poisson regression models, followed by a multilevel random-effects meta-analysis. The joint association between air temperature and air pollutants was modelled with product terms between non-linear functions for air temperature and linear functions for air pollutants. RESULTS We analyzed 22,630,598 deaths. An increase in mean temperature from the 75th to the 99th percentile of city-specific distributions was associated with an average 8.9 % (95 % confidence interval: 7.1 %, 10.7 %) mortality increment, ranging between 5.3 % (3.8 %, 6.9 %) and 12.8 % (8.7 %, 17.0 %), when daily PM10 was equal to 10 or 90 μg/m3, respectively. Corresponding estimates when daily O3 concentrations were 40 or 160 μg/m3 were 2.9 % (1.1 %, 4.7 %) and 12.5 % (6.9 %, 18.5 %), respectively. Similarly, a 10 μg/m3 increment in PM10 was associated with a 0.54 % (0.10 %, 0.98 %) and 1.21 % (0.69 %, 1.72 %) increase in mortality when daily air temperature was set to the 1st and 99th city-specific percentiles, respectively. Corresponding mortality estimate for O3 across these temperature percentiles were 0.00 % (-0.44 %, 0.44 %) and 0.53 % (0.38 %, 0.68 %). Similar effect modification results, although slightly weaker, were found for PM2.5 and NO2. CONCLUSIONS Suggestive evidence of effect modification between air temperature and air pollutants on mortality during the warm period was found in a global dataset of 620 cities.
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Affiliation(s)
- Massimo Stafoggia
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Via C. Colombo 112, 00147 Rome, Italy.
| | - Paola Michelozzi
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Via C. Colombo 112, 00147 Rome, Italy
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Ben Armstrong
- Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Matteo Scortichini
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Via C. Colombo 112, 00147 Rome, Italy
| | - Masna Rai
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Souzana Achilleos
- Department of Primary Care and Population Health, University of Nicosia Medical School, Nicosia, Cyprus
| | - Barrak Alahmad
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Antonis Analitis
- Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Greece
| | - Christofer Åström
- Department of Public Health and Clinical Medicine, Umeå University, Sweden
| | - Michelle L Bell
- School of the Environment, Yale University, New Haven CT, USA
| | | | - Hanne Krage Carlsen
- School of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Gabriel Carrasco
- Institute of Tropical Medicine "Alexander von Humboldt", Universidad Peruana Cayetano Heredia, Lima, Peru
| | | | - Micheline Dszs Coelho
- Department of Pathology, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - Patricia M Correa
- Department of Public Health, Universidad de los Andes, Santiago, Chile
| | - Magali H Diaz
- Department of Environmental Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Alireza Entezari
- Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar 9617916487, Khorasan Razavi, Iran
| | - Bertil Forsberg
- Department of Public Health and Clinical Medicine, Umeå University, Sweden
| | - Rebecca M Garland
- Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa
| | - Yue Leon Guo
- Environmental and Occupational Medicine, and Institute of Environmental and Occupational Health Sciences, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Masahiro Hashizume
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | | | - Carmen Íñiguez
- Department of Statistics and Computational Research, Universitat de València, València, Spain
| | - Jouni J K Jaakkola
- Center for Environmental and Respiratory Health Research (CERH), University of Oulu, Oulu, Finland
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Greece; Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Ho Kim
- Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Jan Kyselý
- Institute of Atmospheric Physics, Czech Academy of Sciences, Prague, Czech Republic; Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic
| | - Eric Lavigne
- School of Epidemiology & Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada; Environmental Health Science and Research Bureau, Health Canada, Ottawa, Canada
| | - Whanhee Lee
- School of the Environment, Yale University, New Haven CT, USA
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | | | - Joana Madureira
- Department of Environmental Health, Instituto Nacional de Saúde Dr. Ricardo Jorge, Porto, Portugal; EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal; Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Fatemeh Mayvaneh
- Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar 9617916487, Khorasan Razavi, Iran
| | - Chris Fook Sheng Ng
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Baltazar Nunes
- Department of Epidemiology, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisbon, Portugal
| | - Hans Orru
- Department of Family Medicine and Public Health, University of Tartu, Tartu, Estonia
| | - Nicolás V Ortega
- Department of Public Health, Universidad de los Andes, Santiago, Chile
| | - Samuel Osorio
- Department of Environmental Health, University of São Paulo, São Paulo, Brazil
| | | | - Shih-Chun Pan
- National Institute of Environmental Health Science, National Health Research Institutes, Zhunan, Taiwan
| | - Mathilde Pascal
- Santé Publique France, Department of Environmental Health, French National Public Health Agency, Saint Maurice, France
| | | | - Shilpa Rao
- Norwegian Institute of Public Health, Oslo, Norway
| | - Raanan Raz
- Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Israel
| | - Dominic Roye
- Climate Research Foundation, Madrid, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
| | - Niilo Ryti
- Center for Environmental and Respiratory Health Research (CERH), University of Oulu, Oulu, Finland
| | - Paulo Hn Saldiva
- Department of Pathology, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Greece
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Noah Scovronick
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Francesco Sera
- Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom; Department of Statistics, Computer Science and Applications "G. Parenti", University of Florence, Florence, Italy
| | - Aurelio Tobias
- Institute of Environmental Assessment and Water Research (IDAEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain
| | - Shilu Tong
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
| | - César Dlc Valencia
- Department of Environmental Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Ana Maria Vicedo-Cabrera
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
| | - Aleš Urban
- Institute of Atmospheric Physics, Czech Academy of Sciences, Prague, Czech Republic; Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic
| | - Antonio Gasparrini
- Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | | | - Francesca K De' Donato
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Via C. Colombo 112, 00147 Rome, Italy
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25
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Zhang C, Yan M, Du H, Ban J, Chen C, Liu Y, Li T. Mortality risks from a spectrum of causes associated with sand and dust storms in China. Nat Commun 2023; 14:6867. [PMID: 37891159 PMCID: PMC10611721 DOI: 10.1038/s41467-023-42530-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 10/13/2023] [Indexed: 10/29/2023] Open
Abstract
Sand and Dust Storms (SDS) pose considerable health risks worldwide. Previous studies only indicated risk of SDS on overall mortality. This nationwide multicenter time-series study aimed to examine SDS-associated mortality risks extensively. We analyzed 1,495,724 deaths and 2024 SDS events from 1 February to 31 May (2013-2018) in 214 Chinese counties. The excess mortality risks associated with SDS were 7.49% (95% CI: 3.12-12.05%), 5.40% (1.25-9.73%), 4.05% (0.41-7.83%), 3.45% (0.34-6.66%), 3.37% (0.28-6.55%), 3.33% (0.07-6.70%), 8.90% (4.96-12.98%), 12.51% (6.31-19.08%), and 11.55% (5.55-17.89%) for ischemic stroke, intracerebral hemorrhagic stroke, hypertensive heart disease, myocardial infarction, acute myocardial infarction, acute ischemic heart disease, respiratory disease, chronic lower respiratory disease, and chronic obstructive pulmonary disease (COPD), respectively. SDS had significantly added effects on ischemic stroke, chronic lower respiratory disease, and COPD mortality. Our results suggest the need to implement public health policy against SDS.
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Affiliation(s)
- Can Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Meilin Yan
- School of Ecology and Environment, Beijing Technology and Business University, Beijing, China
| | - Hang Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jie Ban
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuanyuan Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
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26
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Ma Y, Zhang Y, Wang W, Qin P, Li H, Jiao H, Wei J. Estimation of health risk and economic loss attributable to PM 2.5 and O 3 pollution in Jilin Province, China. Sci Rep 2023; 13:17717. [PMID: 37853161 PMCID: PMC10584970 DOI: 10.1038/s41598-023-45062-x] [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: 04/06/2023] [Accepted: 10/15/2023] [Indexed: 10/20/2023] Open
Abstract
Ambient pollutants, particularly fine particulate matter (PM2.5) and ozone (O3), pose significant risks to both public health and economic development. In recent years, PM2.5 concentration in China has decreased significantly, whereas that of O3 has increased rapidly, leading to considerable health risks. In this study, a generalized additive model was employed to establish the relationship of PM2.5 and O3 exposure with non-accidental mortality across 17 districts and counties in Jilin Province, China, over 2015-2016. The health burden and economic losses attributable to PM2.5 and O3 were assessed using high-resolution satellite and population data. According to the results, per 10 µg/m3 increase in PM2.5 and O3 concentrations related to an overall relative risk (95% confidence interval) of 1.004 (1.001-1.007) and 1.009 (1.005-1.012), respectively. In general, the spatial distribution of mortality and economic losses was uneven. Throughout the study period, a total of 23,051.274 mortalities and 27,825.015 million Chinese Yuan (CNY) in economic losses were attributed to O3 exposure, which considerably surpassing the 5,450.716 mortalities and 6,553,780 million CNY in economic losses attributed to PM2.5 exposure. The O3-related health risks and economic losses increased by 3.75% and 9.3% from 2015 to 2016, while those linked to PM2.5 decreased by 23.33% and 18.7%. Sensitivity analysis results indicated that changes in pollutant concentrations were the major factors affecting mortality rather than baseline mortality and population.
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Affiliation(s)
- Yuxia Ma
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China.
| | - Yifan Zhang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Wanci Wang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Pengpeng Qin
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Heping Li
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Haoran Jiao
- Meteorological Observatory, Liaoning Provincial Meteorological Bureau, Shenyang, 110000, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, 20740, USA
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27
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Guo X, Su W, Wang H, Li N, Song Q, Liang Q, Sun C, Liang M, Zhou Z, Song EJ, Sun Y. Short-term exposure to ambient ozone and cardiovascular mortality in China: a systematic review and meta-analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2023; 33:958-975. [PMID: 35438585 DOI: 10.1080/09603123.2022.2066070] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 04/09/2022] [Indexed: 06/14/2023]
Abstract
Air pollution is a major public health concern in China. Notwithstanding this, there is limited evidence regarding the impact of short-term exposure to ambient ozone on cardiovascular mortality in the Chinese population. Therefore, we conducted this meta-analysis to address this important question. The random-effects model was applied to pool the results from individual studies. Finally, 32 effect estimates extracted from 19 studies were pooled in this meta-analysis. The pooled relative risk for cardiovascular mortality for each 10 µg/m3 increment in ozone concentration was 1.0068 (95% CI: 1.0049, 1.0086). Ths significant positive association between ozone exposure and cardiovascular mortality was also observed in different two-pollutant models. This meta-analysis revealed that exposure to ozone was associated with an increased risk of cardiovascular mortality in China, and more efforts on controlling the population from ozone are needed to improve cardiovascular health of Chinese population.
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Affiliation(s)
- Xianwei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, P.R. China
| | - Wanying Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, P.R. China
| | - Hao Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, P.R. China
| | - Ning Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, P.R. China
| | - Qiuxia Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, P.R. China
| | - Qiwei Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, P.R. China
| | - Chenyu Sun
- Internal Medicine, AMITA Health Saint Joseph Hospital Chicago, Chicago, IL, USA
| | - Mingming Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, P.R. China
| | - Zhen Zhou
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Evelyn J Song
- Division of Hospital Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Yehuan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, P.R. China
- Chaohu Hospital of Anhui Medical University, Hefei, Anhui Province, P.R. China
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28
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Zhang Y, Yin Z, Li S, Zhang JJ, Sun HZ, Liu K, Shirai K, Hu K, Qiu C, Liu X, Li Y, Zeng Y, Yao Y. Ambient PM 2.5, ozone and mortality in Chinese older adults: A nationwide cohort analysis (2005-2018). JOURNAL OF HAZARDOUS MATERIALS 2023; 454:131539. [PMID: 37149946 PMCID: PMC11758737 DOI: 10.1016/j.jhazmat.2023.131539] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/17/2023] [Accepted: 04/27/2023] [Indexed: 05/09/2023]
Abstract
BACKGROUND Cohort evidence linking long-term survival with exposure to multiple air pollutants (e.g., fine particulate matter [PM2.5] and ozone) was extensively sparse in low- and middle-income countries, especially among older adults. This study aimed to investigate potential associations of long-term exposures to PM2.5 and ozone with all-cause mortality in Chinese older adults. METHODS A dynamic nationwide prospective cohort comprising 20,352 adults aged ≥65 years were enrolled from the Chinese Longitudinal Healthy Longevity Study and followed up through 2005-2018. Participants' annual exposures to warm-season ozone and year-round PM2.5 were assigned using satellite-derived spatiotemporal estimates. A directed acyclic graph (DAG) was developed to identify confounding variables. Associations of annual mean exposures to PM2.5 and ozone with mortality were evaluated using single- and two-pollutant Cox proportional hazards models, adjusting for time-dependent individual risk factors and ambient temperature. RESULTS During 100 thousand person-years of follow-up (median: 3.6 years), a total of 14,313 death events occurred. The participants were averagely aged 87.1 years at baseline and exposed to a wide range of annual average concentrations of warm-season maximum 8-hour ozone (mean, 54.4 ppb; range, 23.3-81.6 ppb) and year-round PM2.5 (mean, 65.5 μg/m3; range, 10.1-162.9 μg/m3). Approximately linear concentration-response relationship was identified for ozone, whereas significant increases in PM2.5-associated mortality risks were observed only when concentrations were above 60 μg/m3. Rises of 10 ppb in ozone and 10 µg/m3 in PM2.5 above 60 µg/m3 were associated with increases in all-cause mortality of 13.2% (95% confidence interval [CI]: 10.2-16.2%) and 6.2% (95% CI: 4.6-7.7%) in DAG-based single-pollutant model, and of 9.7% (95% CI: 6.6-13.0%) and 5.3% (95% CI: 3.7-6.9%) in DAG-based two-pollutant model, respectively. We detected significant effect modification by temperature in associations of mortality with ozone (P <0.001 for interaction), suggesting greater ozone-related risks among participants in warmer locations. CONCLUSIONS This study provided longitudinal evidence that long-term exposure to ambient PM2.5 and ozone significantly and independently contributed to elevated risks of all-cause mortality among older adults in China.
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Affiliation(s)
- Yunquan Zhang
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Zhouxin Yin
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China; School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China
| | - Shaojie Li
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Junfeng Jim Zhang
- Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Haitong Zhe Sun
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK; Department of Earth Sciences, University of Cambridge, Cambridge CB2 3EQ, UK
| | - Keyang Liu
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita Shi, Osaka, Japan
| | - Kokoro Shirai
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita Shi, Osaka, Japan
| | - Kejia Hu
- Institute of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Chengxuan Qiu
- Aging Research Center, Karolinska Institutet, Widerströmska Huset, SE-171 65 Solna, Sweden
| | - Xiaoyun Liu
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Yachen Li
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Yi Zeng
- Center for Healthy Aging and Development Studies, National School of Development, Peking University, Beijing, China; Center for the Study of Aging and Human Development and Geriatrics Division, Medical School of Duke University, Durham, NC, US.
| | - Yao Yao
- China Center for Health Development Studies, Peking University, Beijing, China; Center for Healthy Aging and Development Studies, National School of Development, Peking University, Beijing, China.
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Gao P, Wu Y, He L, Wang L, Fu Y, Chen J, Zhang F, Krafft T, Martens P. Adverse short-term effects of ozone on cardiovascular mortalities modified by season and temperature: a time-series study. Front Public Health 2023; 11:1182337. [PMID: 37361179 PMCID: PMC10288843 DOI: 10.3389/fpubh.2023.1182337] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 05/23/2023] [Indexed: 06/28/2023] Open
Abstract
Introduction Ambient ozone pollution becomes critical in China. Conclusions on the short-term effects of ozone on cardiovascular mortality have been controversial and limited on cause-specific cardiovascular mortalities and their interactions with season and temperature. This research aimed to investigate the short-term effects of ozone and the modifications of season and temperature on cardiovascular mortality. Methods Cardiovascular death records, air pollutants, and meteorological factors in Shenzhen from 2013 to 2019 were analyzed. Daily 1-h maximum of ozone and daily maximum 8-h moving average of ozone were studied. Generalized additive models (GAMs) were applied to evaluate their associations with cardiovascular mortalities in sex and age groups. Effect modifications were assessed by stratifying season and temperature. Results Distributed lag impacts of ozone on total cardiovascular deaths and cumulative effects on mortality due to ischemic heart disease (IHD) were most significant. Population under 65 years old was most susceptible. Majority of significant effects were found in warm season, at high temperature, and at extreme heat. Ozone-associated risks in total deaths caused by hypertensive diseases reduced in warm season, while risks in IHD in males increased at high temperature. Extreme heat enhanced ozone effects on deaths caused by CVDs and IHD in the population under 65 years old. Discussion The revealed cardiovascular impacts of ozone below current national standard of air quality suggested improved standards and interventions in China. Higher temperature, particularly extreme heat, rather than warm season, could significantly enhance the adverse effects of ozone on cardiovascular mortality in population under 65 years old.
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Affiliation(s)
- Panjun Gao
- Department of Health, Ethics and Society, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Yongsheng Wu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Lihuan He
- China National Environmental Monitoring Centre, Beijing, China
| | - Li Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Yingbin Fu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Jinrong Chen
- China National Environmental Monitoring Centre, Beijing, China
| | - Fengying Zhang
- China National Environmental Monitoring Centre, Beijing, China
| | - Thomas Krafft
- Department of Health, Ethics and Society, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Pim Martens
- University College Venlo, Maastricht University, Venlo, Netherlands
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Phosri A, Ueda K, Seposo X, Honda A, Takano H. Effect modification by temperature on the association between O 3 and emergency ambulance dispatches in Japan: A multi-city study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 861:160725. [PMID: 36493818 DOI: 10.1016/j.scitotenv.2022.160725] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 11/18/2022] [Accepted: 12/02/2022] [Indexed: 06/17/2023]
Abstract
Numerous epidemiological studies have reported that ozone (O3) and temperature are independently associated with health outcomes, but modification of the effects of O3 on health outcomes by temperature, and vice versa, has not been fully described. This study aimed to investigate effect modification by temperature on the association between O3 and emergency ambulance dispatches (EADs) in Japan. Data on daily air pollutants, ambient temperature, and EADs were obtained from eight Japanese cities from 2007 to 2015. A distributed lag non-linear model combined with Poisson regression was performed with temperature as a confounding factor and effect modifier to estimate the effects of O3 on EADs at low (<25th percentile), moderate (25th-75th percentile), and high (>75th percentile) temperature for each city. The estimates obtained from each city were pooled by random-effects meta-analysis. When temperature was entered as a confounder, the estimated effects of O3 on EADs for all acute, cardiovascular, and respiratory illnesses were largest at lag 0 (current-day lag). Therefore, this lag was used to further estimate the effects of O3 on EADs in each temperature category. The estimated effects of O3 on EADs for all acute, cardiovascular, and respiratory illnesses in all eight Japanese cities increased with increasing temperature. Specifically, a 10 ppb increase in O3 was associated with 0.80 % (95 % CI: 0.25 to 1.35), 0.19 % (95 % CI: -0.85 to 1.25), and 1.14 % (95 % CI: -0.01 to 2.31) increases in the risk of EADs for all acute, cardiovascular, and respiratory illnesses, respectively, when city-specific daily temperature exceeded the 75th percentile. Our findings suggest that the association between O3 and EADs for all acute, cardiovascular, and respiratory illnesses is the highest during high temperature. Finding of this study can be used to develop potential mitigation measures against O3 exposure in high temperature environment to reduce its associated adverse health effects.
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Affiliation(s)
- Arthit Phosri
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand; Center of Excellence on Environmental Health and Toxicology (EHT), OPS, Ministry of Higher Education, Science, Research and Innovation, Bangkok, Thailand.
| | - Kayo Ueda
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Department of Hygiene, Social Medicine, Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan; Graduate School of Global Environmental Sciences, Kyoto University, Kyoto, Japan
| | - Xerxes Seposo
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Department of Hygiene, Social Medicine, Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Akiko Honda
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Graduate School of Global Environmental Sciences, Kyoto University, Kyoto, Japan
| | - Hirohisa Takano
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Graduate School of Global Environmental Sciences, Kyoto University, Kyoto, Japan
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Huang Y, Wang Y, Zhang T, Wang P, Huang L, Guo Y. Exploring Health Effects under Specific Causes of Mortality Based on 90 Definitions of PM 2.5 and Cold Spell Combined Exposure in Shanghai, China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:2423-2434. [PMID: 36724352 DOI: 10.1021/acs.est.2c06461] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
In this study, a total of 90 definitions were set up based on six air pollution definitions, five cold spell definitions, and three combined exposure scenarios. The relative risks (RRs) on all-cause, circulatory, and respiratory mortality were explored by a model combining a distributed linear lag model with quasi-Poisson regression. The definition in which daily PM2.5 increases more than 75 μg/m3 for at least 2 days and the average temperature falls below the 10th percentile for at least 2 days produced the best model fit performance in all-cause mortality. The high peaks of the health effect were generally observed around the lag days 6-9. The cumulative relative risks (CRRs) were more significant in the simultaneous-exposure scenario and higher in respiratory mortality, where the highest CRR (12.15, 3.69-40.03) was observed in definition P1T5, in which daily PM2.5 increases more than 75 μg/m3, and the average temperature falls below the 2.5th percentile for at least two days. For relative risk due to interaction (RERI), we found positive additive interactions (RERI > 0) between PM2.5 pollution and cold spell, especially in respiratory mortality. Clarifying the definition of combined events can help policymakers to capture health risks and construct more effective risk warning systems.
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Affiliation(s)
- Yujia Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Yiyi Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Ting Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Peng Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
- Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212013, China
| | - Lei Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public and Preventive Medicine, Monash University, Melbourne 3004, VIC, Australia
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Liu B, Fang XY, Yan YL, Wu J, Lv XJ, Zhang J, Qi LW, Qian TT, Cai YY, Fan YG, Ye DQ. Short-term effect of ambient temperature and ambient temperature changes on the risk of warts outpatient visits in Hefei, China: a retrospective time-series study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:19342-19355. [PMID: 36239885 DOI: 10.1007/s11356-022-23522-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 10/05/2022] [Indexed: 06/16/2023]
Abstract
Concerns are growing about the adverse health effects of ambient temperature and ambient temperature changes. However, the association between ambient temperature and ambient temperature changes on the risk of warts outpatient visits is poorly understood. Our study used the distributed lag non-linear model (DLNM) aimed to evaluate the association between ambient temperature, ambient temperature changes (including temperature change between neighboring days (TCN) and diurnal temperature range (DTR)), and warts outpatient visits. We also performed subgroup analyses in order to find susceptible populations by gender and age groups. The maximum relative risk (RR) of low ambient temperature (0 °C) for warts outpatient visits was 1.117 (95% CI: 1.041-1.198, lag 04 days), and the maximum RR of high ambient temperature (32 °C) for warts outpatient visits was 1.318 (95% CI: 1.083-1.605, lag 07 days). The large temperature drop (TCN = - 3 °C) decreased the risk of warts visits, with the lowest RR value at the cumulative exposure of lag 7 days (RR = 0.888, 95% CI: 0.822-0.959), and the large temperature rise (TCN = 2 °C) increased the risk of warts visits, with the highest RR value at the cumulative exposure of lag 7 days (RR = 1.080, 95% CI: 1.022-1.142). Overall, both low and high ambient temperatures and large temperature rise can increase the risk of warts visits, while large temperature drop is a protective factor for warts visits. However, we did not find any association between DTR and warts visits. Furthermore, subgroup analyses showed that males and the young (0-17 years old) were more sensitive to low and high ambient temperatures, and the elderly (≥ 65 years old) were more susceptible to TCN. The results may provide valuable evidence for reducing the disease burden of warts in the future.
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Affiliation(s)
- Bo Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xin-Yu Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yu-Lu Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China
| | - Xiao-Jie Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jie Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Liang-Wei Qi
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Ting-Ting Qian
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yu-Yu Cai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China.
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China.
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Chen J, Guo L, Liu H, Jin L, Meng W, Fang J, Zhao L, Zeng XW, Yang BY, Wang Q, Guo X, Deng F, Dong GH, Shang X, Wu S. Modification effects of ambient temperature on associations of ambient ozone exposure before and during pregnancy with adverse birth outcomes: A multicity study in China. ENVIRONMENT INTERNATIONAL 2023; 172:107791. [PMID: 36739855 DOI: 10.1016/j.envint.2023.107791] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 01/12/2023] [Accepted: 01/28/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Epidemiological studies suggest that both ambient ozone (O3) and temperature were associated with increased risks of adverse birth outcomes. However, very few studies explored their interaction effects, especially for small for gestational age (SGA) and large for gestational age (LGA). OBJECTIVES To estimate the modification effects of ambient temperature on associations of ambient O3 exposure before and during pregnancy with preterm birth (PTB), low birth weight (LBW), SGA and LGA based on multicity birth cohorts. METHODS A total of 56,905 singleton pregnant women from three birth cohorts conducted in Tianjin, Beijing and Maoming, China, were included in the study. Maximum daily 8-h average O3 concentrations of each pregnant woman from the preconception period to delivery for every day were estimated by matching their home addresses with the Tracking Air Pollution in China (TAP) datasets. We first applied the Cox proportional-hazards regression model to evaluate the city-specific effects of O3 exposure before and during pregnancy on adverse birth outcomes at different temperature levels with adjustment for potential confounders, and then a meta-analysis across three birth cohorts was conducted to calculate the pooled associations. RESULTS In pooled analysis, significant modification effects of ambient temperature on associations of ambient O3 with PTB, LBW and LGA were observed (Pinteraction < 0.05). For a 10 μg/m3 increase in ambient O3 exposure at high temperature level (> 75th percentile), the risk of LBW increased by 28 % (HR: 1.28, 95% CI: 1.13-1.46) during the second trimester and the risk of LGA increased by 116% (HR: 2.16, 95%CI: 1.16-4.00) during the entire pregnancy, while the null or weaker association was observed at corresponding low (≤ 25th percentile) and medium (> 25th and ≤ 75th percentile) temperature levels. CONCLUSION This multicity study added new evidence that ambient high temperature may enhance the potential effects of ambient O3 on adverse birth outcomes.
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Affiliation(s)
- Juan Chen
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, China; Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Liqiong Guo
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, China
| | - Huimeng Liu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Lei Jin
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health, Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Wenying Meng
- Tongzhou Maternal and Child Health Care Hospital, Beijing, China
| | - Junkai Fang
- Tianjin Healthcare Affair Center, Tianjin, China
| | - Lei Zhao
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, China
| | - Xiao-Wen Zeng
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Bo-Yi Yang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Qi Wang
- Department of Toxicology, School of Public Health, Peking University, Beijing, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xuejun Shang
- Department of Andrology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, China.
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China.
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Lin G, Wang Z, Zhang X, Stein A, Maji KJ, Cheng C, Osei F, Yang FF. Comparison of the association between different ozone indicators and daily respiratory hospitalization in Guangzhou, China. Front Public Health 2023; 11:1060714. [PMID: 36794065 PMCID: PMC9922759 DOI: 10.3389/fpubh.2023.1060714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 01/03/2023] [Indexed: 02/03/2023] Open
Abstract
Background Epidemiological studies have widely proven the impact of ozone (O3) on respiratory mortality, while only a few studies compared the association between different O3 indicators and health. Methods This study explores the relationship between daily respiratory hospitalization and multiple ozone indicators in Guangzhou, China, from 2014 to 2018. It uses a time-stratified case-crossover design. Sensitivities of different age and gender groups were analyzed for the whole year, the warm and the cold periods. We compared the results from the single-day lag model and the moving average lag model. Results The results showed that the maximum daily 8 h average ozone concentration (MDA8 O3) had a significant effect on the daily respiratory hospitalization. This effect was stronger than for the maximum daily 1 h average ozone concentration (MDA1 O3). The results further showed that O3 was positively associated with daily respiratory hospitalization in the warm season, while there was a significantly negative association in the cold season. Specifically, in the warm season, O3 has the most significant effect at lag 4 day, with the odds ratio (OR) equal to 1.0096 [95% confidence intervals (CI): 1.0032, 1.0161]. Moreover, at the lag 5 day, the effect of O3 on the 15-60 age group was less than that on people older than 60 years, with the OR value of 1.0135 (95% CI: 1.0041, 1.0231) for the 60+ age group; women were more sensitive than men to O3 exposure, with an OR value equal to 1.0094 (95% CI: 0.9992, 1.0196) for the female group. Conclusion These results show that different O3 indicators measure different impacts on respiratory hospitalization admission. Their comparative analysis provided a more comprehensive insight into exploring associations between O3 exposure and respiratory health.
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Affiliation(s)
- Geng Lin
- School of Geography and Planning, Sun Yat-sen University, Guangzhou, China
| | - Zhuoqing Wang
- Department of Scientific Research and Discipline Development, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China,*Correspondence: Zhuoqing Wang ✉
| | - Xiangxue Zhang
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China,Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands,Xiangxue Zhang ✉
| | - Alfred Stein
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands
| | - Kamal Jyoti Maji
- School of Civil and Environment Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - Changxiu Cheng
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China,National Tibetan Plateau Data Center, Beijing, China
| | - Frank Osei
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands
| | - Fiona Fan Yang
- School of Geography and Planning, Sun Yat-sen University, Guangzhou, 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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Fu Y, Zhang W, Li Y, Li H, Deng F, Ma Q. Association and interaction of O 3 and NO 2 with emergency room visits for respiratory diseases in Beijing, China: a time-series study. BMC Public Health 2022; 22:2265. [PMID: 36464692 PMCID: PMC9721066 DOI: 10.1186/s12889-022-14473-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 10/26/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Ozone (O3) and nitrogen dioxide (NO2) are the two main gaseous pollutants in the atmosphere that act as oxidants. Their short-term effects and interaction on emergency room visits (ERVs) for respiratory diseases remain unclear. METHODS We conducted a time-series study based on 144,326 ERVs for respiratory diseases of Peking University Third Hospital from 2014 to 2019 in Beijing, China. Generalized additive models with quasi-Poisson regression were performed to analyze the association of O3, NO2 and their composite indicators (Ox and Oxwt) with ERVs for respiratory diseases. An interaction model was further performed to evaluate the interaction between O3 and NO2. RESULTS Exposure to O3, NO2, Ox and Oxwt was positively associated with ERVs for total respiratory diseases and acute upper respiratory infection (AURI). For instance, a 10 μg/m3 increase in O3 and NO2 were associated with 0.93% (95%CI: 0.05%, 1.81%) and 5.87% (95%CI: 3.92%, 7.85%) increase in AURI at lag0-5 days, respectively. Significant linear exposure-response relationships were observed in Ox and Oxwt over the entire concentration range. In stratification analysis, stronger associations were observed in the group aged < 18 years for both O3 and NO2, in the warm season for O3, but in the cold season for NO2. In interaction analysis, the effect of O3 on total respiratory emergency room visits and AURI visits was the strongest at high levels (> 75% quantile) of NO2 in the < 18 years group. CONCLUSIONS Short-term exposure to O3 and NO2 was positively associated with ERVs for respiratory diseases, particularly in younger people (< 18 years). This study for the first time demonstrated the synergistic effect of O3 and NO2 on respiratory ERVs, and Ox and Oxwt may be potential proxies.
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Affiliation(s)
- Yuanwei Fu
- grid.411642.40000 0004 0605 3760Emergency Department, Peking University Third Hospital, Beijing, 100191 China
| | - Wenlou Zhang
- grid.11135.370000 0001 2256 9319Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191 China
| | - Yan Li
- grid.411642.40000 0004 0605 3760Emergency Department, Peking University Third Hospital, Beijing, 100191 China
| | - Hongyu Li
- grid.11135.370000 0001 2256 9319Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191 China
| | - Furong Deng
- grid.11135.370000 0001 2256 9319Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191 China
| | - Qingbian Ma
- grid.411642.40000 0004 0605 3760Emergency Department, Peking University Third Hospital, Beijing, 100191 China
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Zhang Y, Tian Q, Feng X, Hu W, Ma P, Xin J, Wang S, Zheng C. Modification effects of ambient temperature on ozone-mortality relationships in Chengdu, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:73011-73019. [PMID: 35618998 DOI: 10.1007/s11356-022-20843-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 05/11/2022] [Indexed: 06/15/2023]
Abstract
A multitude of epidemiological studies have demonstrated that both ambient temperatures and air pollution are closely related to health outcomes. However, whether temperature has modification effects on the association between ozone and health outcomes is still debated. In this study, three parallel time-series Poisson generalized additive models (GAMs) were used to examine the effects of modifying ambient temperatures on the association between ozone and mortality (including non-accidental, respiratory, and cardiovascular mortality) in Chengdu, China, from 2014 to 2016. The results confirmed that the ambient high temperatures strongly amplified the adverse effects of ozone on human mortality; specifically, the ozone effects were most pronounced at > 28 °C. Without temperature stratification conditions, a 10-μg/m3 increase in the maximum 8-h average ozone (O3-8hmax) level at lag01 was associated with increases of 0.40% (95% confidence interval [CI] 0.15%, 0.65%), 0.61% (95% CI 0.27%, 0.95%), and 0.69% (95% CI 0.34%, 1.04%) in non-accidental, respiratory, and cardiovascular mortality, respectively. On days during which the temperature exceeded 28 °C, a 10-μg/m3 increase in O3-8hmax led to increases of 2.22% (95% CI 1.21%, 3.23%), 2.67% (95% CI 0.57%, 4.76%), and 4.13% (95% CI 2.34%, 5.92%) in non-accidental, respiratory, and cardiovascular mortality, respectively. Our findings validated that high temperature could further aggravate the health risks of O3-8hmax; thus, mitigating ozone exposure will be brought into the limelight especially under the context of changing climate.
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Affiliation(s)
- Ying Zhang
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Plain Urban Meteorology and Environment Observation and Research Station of Sichuan Province, College of Atmospheric Sciences, Chengdu University of Information Technology, ChengduChengdu, 610225, Sichuan, China.
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China.
| | - Qiqi Tian
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Plain Urban Meteorology and Environment Observation and Research Station of Sichuan Province, College of Atmospheric Sciences, Chengdu University of Information Technology, ChengduChengdu, 610225, Sichuan, China
| | - Xinyuan Feng
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Plain Urban Meteorology and Environment Observation and Research Station of Sichuan Province, College of Atmospheric Sciences, Chengdu University of Information Technology, ChengduChengdu, 610225, Sichuan, China
| | - Wendong Hu
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Plain Urban Meteorology and Environment Observation and Research Station of Sichuan Province, College of Atmospheric Sciences, Chengdu University of Information Technology, ChengduChengdu, 610225, Sichuan, China
| | - Pan Ma
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Plain Urban Meteorology and Environment Observation and Research Station of Sichuan Province, College of Atmospheric Sciences, Chengdu University of Information Technology, ChengduChengdu, 610225, Sichuan, China.
| | - Jinyuan Xin
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China.
| | - Shigong Wang
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Plain Urban Meteorology and Environment Observation and Research Station of Sichuan Province, College of Atmospheric Sciences, Chengdu University of Information Technology, ChengduChengdu, 610225, Sichuan, China
| | - Canjun Zheng
- Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, China
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38
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Zhang Y, Ma Y, Shen J, Li H, Wang H, Cheng B, Ma L. Effect of ambient O 3 on mortality due to circulatory and respiratory diseases in a high latitude city of northeast China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:67776-67786. [PMID: 35522413 DOI: 10.1007/s11356-022-20585-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/29/2022] [Indexed: 06/14/2023]
Abstract
In recent years, O3 pollution had been worsening in China and became a major challenge for human health. To evaluate the O3 effects on circulatory and respiratory mortality in Harbin, a high latitude city of northeast China, we applied a time-series study from 2014 to 2016. After collecting data and adjusting for the effects of confounders, we built the generalized additive model to assess the associations between O3 and mortality at different lag days. The results showed that an interquartile-range (IQR) increase in O3 concentration corresponded to excess risk (ER) of 2.00% (95%CI: - 0.25-4.30%) for circulatory mortality at lag 0 and 8.02% (95%CI: 4.18-12.01%) for respiratory mortality at lag 2 days in the single-pollutant model. Stratified analysis showed that O3 had a greater effect on females than on males. The effect of O3 exposure on circulatory mortality was stronger during the warm period, while the opposite trend was founded for respiratory mortality. The sensitivity analysis showed that the effects of O3 were relatively independent and the major results were robust.
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Affiliation(s)
- Yifan Zhang
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China
| | - Yuxia Ma
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China.
| | - Jiahui Shen
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China
| | - Heping Li
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China
| | - Hang Wang
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China
| | - Bowen Cheng
- Ministry of Education, College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Lanzhou University, Lanzhou, 730000, China
| | - Liya Ma
- Lanzhou Petrochemical Company, Lanzhou, 730060, China
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Lin C, Ma Y, Liu R, Shao Y, Ma Z, Zhou L, Jing Y, Bell ML, Chen K. Associations between short-term ambient ozone exposure and cause-specific mortality in rural and urban areas of Jiangsu, China. ENVIRONMENTAL RESEARCH 2022; 211:113098. [PMID: 35288156 DOI: 10.1016/j.envres.2022.113098] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 02/08/2022] [Accepted: 03/06/2022] [Indexed: 06/14/2023]
Abstract
Most previous studies on the acute health effects of ozone are limited to urban areas, largely due to the paucity of air pollutant measurements in rural areas. We here estimated the county-specific daily maximum 8-h average ozone concentration in Jiangsu Province, China during 2015-2018, using a recently developed spatiotemporal machine learning model at a spatial resolution of 0.1° × 0.1° (∼11 × 11 km). Counties were equally divided into urban and rural groups based on the median of the percentage of urban residents across Jiangsu counties obtained from the National Population Census in 2010. We first conducted time-series analyses to estimate the county-specific effect of ozone using generalized linear models, then pooled the effect estimates by random-effects modeling. A 10 μg/m3 increase in the 4-day moving average (lag 0-3) of ambient ozone exposure was associated with increases of 0.66% (95% confidence interval [CI] 0.36%-0.95%) in daily nonaccidental mortality in rural areas and 0.42% in urban areas (95% CI, 0.27%-0.56%). Short-term ambient ozone exposure was associated with an increased risk of mortality caused by chronic obstructive pulmonary disease, hypertension, ischemic heart disease, and stroke. Our finding suggests that both urban and rural residents suffer adverse health effects from short-term ozone exposure.
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Affiliation(s)
- Chengyi Lin
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA; Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, CT, USA
| | - Yiqun Ma
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA; Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, CT, USA
| | - Riyang Liu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China
| | - Yanchuan Shao
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China
| | - Zongwei Ma
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China.
| | - Lian Zhou
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China; College of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, China.
| | - Yuanshu Jing
- College of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, China
| | - Michelle L Bell
- School of the Environment, Yale University, New Haven, CT, USA
| | - Kai Chen
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA; Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, CT, USA.
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40
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Wu J, Ye Q, Fang L, Deng L, Liao T, Liu B, Lv X, Zhang J, Tao J, Ye D. Short-term association of NO 2 with hospital visits for chronic kidney disease and effect modification by temperature in Hefei, China: A time series study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 237:113505. [PMID: 35462193 DOI: 10.1016/j.ecoenv.2022.113505] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 04/05/2022] [Accepted: 04/07/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND A large body of evidence has linked air pollution and temperature with chronic kidney disease (CKD) prevalence and hospitalizations. However, most studies have focused on the influence of heat stress on CKD prevalence, and the potential effect modification of temperature on the association between air pollution and CKD has not been well-investigated. In this study, we examined the associations of the whole temperature spectrum and air pollution with CKD-related hospital visits and explored whether temperature modifies the short-term association of air pollution with CKD-related hospital visits. METHODS AND FINDINGS We collected 40 276 CKD-related hospital visits from the first Affiliated Hospital of Anhui Medical University and Anhui Provincial Hospital in Hefei, China, during 2015-2019. A two-stage time-series design was conducted to investigate the associations of air pollution and daily mean temperature with CKD-related hospital visits. First, we estimated the associations between air pollution and CKD-related hospital visits as well as temperature and CKD-related hospital visits. Second, we analyzed the associations of air pollution with CKD hospital visits at different temperatures. We found that NO2 exposure and low temperature were associated with an increased risk of CKD-related hospital visits. Low temperature enhanced the association between NO2 exposure and CKD-related hospital visits, with an increase of 4.30% (95% CI: 2.47-5.92%) per 10 μg/m3 increment in NO2 at low temperature. Effect modification of the association between NO2 and the risk of CKD-related hospital visits was stronger at low temperature across the whole population. CONCLUSIONS Our findings indicate that low temperature-related chronic kidney damage should be of immediate public health concern. Impact of NO2 exposure on the risk of CKD-related hospital visits may increase under the low temperature, which suggests the need for NO2 exposure mitigation strategies in the context of climate change and an enhanced understanding of the mechanisms underlying the temperature variance of air pollution effect to help reduce the magnitude of the CKD burden on the healthcare systems.
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Affiliation(s)
- Jun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - QianLing Ye
- Department of Oncology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - LanLan Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - LiJun Deng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Tao Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Bo Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - XiaoJie Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jie Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - JinHui Tao
- Department of Rheumatology & Immunology, Anhui Provincial Hospital, Hefei, Anhui, China.
| | - DongQing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China.
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41
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Cao J, Qiu X, Liu Y, Yan X, Gao J, Peng L. Identifying the dominant driver of elevated surface ozone concentration in North China plain during summertime 2012-2017. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 300:118912. [PMID: 35092729 DOI: 10.1016/j.envpol.2022.118912] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 01/21/2022] [Accepted: 01/25/2022] [Indexed: 06/14/2023]
Abstract
The increasingly serious surface ozone (O3) pollution in North China Plain (NCP) has received wide attention. However, the contribution of the changes for each emission source to the elevated O3 concentration, as well as the direct and indirect effect of meteorological condition variation on increased O3 level have not been comprehensively analyzed. This study applied the Community Multiscale Air Quality (CMAQ) model coupled with the integrated source apportionment method (ISAM) to quantify changes in daily maximum 8-h average O3 concentration (MDA8 O3) under different air pollutants emissions and meteorological conditions during summertime 2012-2017. The results showed that incoordinate NOx/VOC emission control sustainably increased MDA8 O3 by 2.2-36.2 μg/m3 in the NCP, of which emission changes from industrial and transportation sectors were the predominant contributors (-0.6-19.5 μg/m3 for industrial sector and 1.2-18.1 μg/m3 for transportation, respectively). In contrast, MDA8 O3 decreased by 2.5-9.2 μg/m3 for the power plants. The effect of changes in meteorological condition on MDA8 O3 exhibited significantly spatial and temporal variation and unfavorable meteorological fields were shown in 2014, 2016, and 2017, which enhanced MDA8 O3 by -2.5-23.1, -5.3-20.7, and -7.2-25.8 μg/m3, respectively. In addition, the changed meteorological factors indirectly affected the biogenic emission thus prompting the increases of MDA8 O3 by -3.9-4.9 μg/m3 in the NCP during 2012-2017. The sensitive simulations suggested that more aggressive control measures about VOC reduction in industrial and transportation sectors should be implemented to further mitigate the O3 pollution under unfavorable meteorological condition.
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Affiliation(s)
- Jingyuan Cao
- College of Environmental Sciences and Engineering, North China Electric Power University, Beijing, 102206, China; Key Laboratory of Resources and Environmental Systems Optimization, Ministry of Education, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China
| | - Xionghui Qiu
- College of Environmental Sciences and Engineering, North China Electric Power University, Beijing, 102206, China; Key Laboratory of Resources and Environmental Systems Optimization, Ministry of Education, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China.
| | - Yang Liu
- College of Environmental Sciences and Engineering, North China Electric Power University, Beijing, 102206, China; Key Laboratory of Resources and Environmental Systems Optimization, Ministry of Education, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China
| | - Xiao Yan
- Beijing Municipal Research Institute of Environmental Protection, Beijing 100037, China
| | - Jian Gao
- Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Lin Peng
- College of Environmental Sciences and Engineering, North China Electric Power University, Beijing, 102206, China; Key Laboratory of Resources and Environmental Systems Optimization, Ministry of Education, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China
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42
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Chen L, Wang X, Qian ZM, Sun L, Qin L, Wang C, Howard SW, Aaron HE, Lin H. Ambient gaseous pollutants and emergency ambulance calls for all-cause and cause-specific diseases in China: a multicity time-series study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:28527-28537. [PMID: 34988821 DOI: 10.1007/s11356-021-18337-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 12/21/2021] [Indexed: 06/14/2023]
Abstract
Much attention has been paid to the health effects of ambient particulate matter pollution; the effects of gaseous air pollutants have not been well studied. Emergency ambulance calls (EACs) may provide a better indicator of the acute health effects than the widely used health indicators, such as mortality and hospital admission. We estimated the short-term associations between gaseous air pollutants [nitrogen dioxide (NO2), sulfur dioxide (SO2), and ozone (O3)] and EACs for all-cause, cardiovascular, and respiratory diseases in seven Chinese cities from 2014 to 2019. We used generalized additive models and random-effects meta-analysis to examine the city-specific and pooled associations. Stratified analyses were conducted by age, sex, and season. A total of 1,626,017 EACs were observed for all-cause EACs, including 230,537 from cardiovascular diseases, and 96,483 from respiratory diseases. Statistically significant associations were observed between NO2 and EACs for all-cause diseases, while the effects of SO2 were positive, but not statistically significant in most models. No significant relationship was found between O3 and EACs. Specifically, each 10 μg/m3 increase in the 2-day moving average concentration of NO2 was associated with a 1.07% [95% confidence interval (CI): 0.40%, 1.76%], 0.76% (95% CI: 0.19%, 1.34%) and 0.06% (95% CI: -1.57%, 1.73%) increase in EACs due to all-cause, cardiovascular and respiratory diseases, respectively. Stratified analysis showed a larger effect of NO2 on all-cause EACs in the cold season [excess relative risk (ERR): 0.33% (95% CI: 0.05%, 0.60%) for warm season, ERR: 0.77% (95% CI: 0.31%, 1.23%) for cold season]. Our study indicates that acute exposures to NO2 might be an important trigger of the emergent occurrence of all-cause, cardiovascular and respiratory diseases, and this effect should be of particular concern in the cold season. Further policy development for controlling gaseous air pollution is warranted to reduce the emergent occurrence of cardiopulmonary diseases.
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Affiliation(s)
- Lan Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Xiaojie Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Liwen Sun
- Huairou District Center for Disease Control and Prevention, Beijing, 101400, China
| | - Lijie Qin
- Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Steven W Howard
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Hannah E Aaron
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
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Wang W, Zhang W, Ge H, Chen B, Zhao J, Wu J, Kang Z, Guo X, Deng F, Ma Q. Association between air pollution and emergency room visits for eye diseases and effect modification by temperature in Beijing, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:22613-22622. [PMID: 34792769 DOI: 10.1007/s11356-021-17304-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 10/27/2021] [Indexed: 06/13/2023]
Abstract
The growing burden of eye disease worldwide has aroused increasing concern upon its environmental etiology. This study aims to evaluate the associations of air pollutants with emergency room visits for eye diseases and the effect modification by temperature. Based on 24,389 cases from a general hospital during 2014-2019 in Beijing, China, this study used generalized additive models to examine the associations of air pollutants and emergency room visits for total eye diseases (ICD10: H00-H59) and conjunctivitis (ICD10: H10). Short-term exposures to PM2.5, PM10, CO, and NO2 were associated with increased visits for total eye diseases and conjunctivitis, and stronger effect estimates were observed in high (>75th) temperature group for PM2.5, PM10, CO, and NO2 and low (<75th) temperature group for CO and NO2. For instance, a 10 μg/m3 increase in PM2.5 at lag0-1 were associated with a 0.73% (95% CI: 0.23%, 1.24%) increase in total eye disease visits and a 1.34% (95% CI: 0.55%, 2.13%) increase in conjunctivitis visits, respectively. Meanwhile, a 10 μg/m3 increase in PM2.5 was associated with a 1.57% (95% CI: 0.49%, 2.64%) change in high temperature group and a 0.48% (95% CI: -0.24%, 1.19%) change in medium temperature group (P for interaction = 0.04) in total eye disease visits. Our study emphasizes the importance of controlling the potential hazards of air pollutants on eyes, especially on days with relatively higher or colder temperature.
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Affiliation(s)
- Wanzhou Wang
- Emergency Department, Peking University Third Hospital, Beijing, 100191, China
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Wenlou Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Hongxia Ge
- Emergency Department, Peking University Third Hospital, Beijing, 100191, China
| | - Baiqi Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Jingjing Zhao
- Emergency Department, Peking University Third Hospital, Beijing, 100191, China
| | - Jun Wu
- Emergency Department, Peking University Third Hospital, Beijing, 100191, China
| | - Zefeng Kang
- Eye Hospital of China Academy of Chinese Medical Sciences, Beijing, 100040, China.
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China.
| | - Qingbian Ma
- Emergency Department, Peking University Third Hospital, Beijing, 100191, China.
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Liu R, Cai J, Guo W, Guo W, Wang W, Yan L, Ma N, Zhang X, Zhang S. Effects of temperature and PM 2.5 on the incidence of hand, foot, and mouth in a heavily polluted area, Shijiazhuang, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:11801-11814. [PMID: 34550518 DOI: 10.1007/s11356-021-16397-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 09/03/2021] [Indexed: 06/13/2023]
Abstract
The influence of weather and air pollution factors on hand, foot, and mouth disease (HFMD) has received widespread attention. However, most of the existing studies came from lightly polluted areas and the results were inconsistent. There was a lack of relevant evidence of heavily polluted areas. This study aims to quantify the relationship between weather factors and air pollution with HFMD in heavily polluted areas. We collected the daily number of hand, foot, and mouth disease in Shijiazhuang, China from 2014 to 2018, as well as meteorological and air pollutant data over the same period. The generalized linear model combined with the distributed lag model was used to study the effect of meteorological factors and air pollutants on the daily cases of HFMD and its hysteresis effect. We found that the dose-response relationship between temperature, PM2.5, and the risk of hand-foot-mouth disease was non-linear. Both low temperature and high temperature increased the risk of hand-foot-mouth disease. The cumulative effect of high temperature reached the maximum at 0-10 lag days, and the cumulative effect of low temperature reached the maximum at 0-3 lag days. The concentration of PM2.5 between 76 and 200 μg/m3 has a certain risk of the onset of hand, foot, and mouth disease, but the extreme PM2.5 concentration has a certain protective effect. In addition, low humidity, low wind speed, and low-O3 can increase the risk of HFMD. Risks of humidity and low concentration of O3 increased as lag days extended. In conclusion, our study found that climate factors and air pollutants exert varying degrees of impact on HFMD. Our research provided the scientific basis for establishing an early warning system so that medical staff and parents can take corresponding measures to prevent HFMD.
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Affiliation(s)
- Ran Liu
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, 361 Zhongshan East Road, Shijiazhuang, 050017, China
| | - Jianning Cai
- The Department of Epidemic Treating and Preventing, Center for Disease Prevention and Control of Shijiazhuang City, Likang Road 3#, Shijiazhuang, 050011, China
| | - Weiheng Guo
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, 361 Zhongshan East Road, Shijiazhuang, 050017, China
| | - Wei Guo
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, 361 Zhongshan East Road, Shijiazhuang, 050017, China
| | - Wenjuan Wang
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, 361 Zhongshan East Road, Shijiazhuang, 050017, China
| | - Lina Yan
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, 361 Zhongshan East Road, Shijiazhuang, 050017, China
| | - Ning Ma
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, 361 Zhongshan East Road, Shijiazhuang, 050017, China
| | - Xiaolin Zhang
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, 361 Zhongshan East Road, Shijiazhuang, 050017, China.
| | - Shiyong Zhang
- The Department of Epidemic Treating and Preventing, Center for Disease Prevention and Control of Shijiazhuang City, Likang Road 3#, Shijiazhuang, 050011, China.
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Fann N, Coffman E, Jackson M, Jhun I, Lamichhane A, Nolte CG, Roman H, Sacks JD. The Role of Temperature in Modifying the Risk of Ozone-Attributable Mortality under Future Changes in Climate: A Proof-of-Concept Analysis. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:1202-1210. [PMID: 34965106 PMCID: PMC9359214 DOI: 10.1021/acs.est.1c05975] [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] [Indexed: 05/25/2023]
Abstract
Air pollution risk assessments typically estimate ozone-attributable mortality counts using concentration-response (C-R) parameters from epidemiologic studies that treat temperature as a potential confounder. However, some recent epidemiologic studies have indicated that temperature can modify the relationship between short-term ozone exposure and mortality, which has potentially important implications when considering the impacts of climate change on public health. This proof-of-concept analysis quantifies counts of temperature-modified ozone-attributable mortality using temperature-stratified C-R parameters from a multicity study in which the pooled ozone-mortality effect coefficients change in concert with daily temperature. Meteorology downscaled from two global climate models is used with a photochemical transport model to simulate ozone concentrations over the 21st century using two emission inventories: one holding air pollutant emissions constant at 2011 levels and another accounting for reduced emissions through the year 2040. The late century climate models project increased summer season temperatures, which in turn yields larger total counts of ozone-attributable deaths in analyses using temperature-stratified C-R parameters compared to the traditional temperature confounder approach. This analysis reveals substantial heterogeneity in the magnitude and distribution of the temperature-stratified ozone-attributable mortality results, which is a function of regional variability in both the C-R relationship and the model-predicted temperature and ozone.
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Affiliation(s)
- Neal Fann
- U.S. EPA Office of Air Quality Planning and Standards,
Research Triangle Park NC 27711 USA
| | - Evan Coffman
- U.S. EPA Office of Research and Development, Research
Triangle Park, NC 27711 USA
| | | | - Iny Jhun
- Stanford Health Care, San Francisco, CA 94305 USA
| | - Archana Lamichhane
- U.S. EPA Office of Air Quality Planning and Standards,
Research Triangle Park NC 27711 USA
| | - Christopher G. Nolte
- U.S. EPA Office of Research and Development, Research
Triangle Park, NC 27711 USA
| | - Henry Roman
- Industrial Economics Inc, Cambridge, MA 02140 USA
| | - Jason D. Sacks
- U.S. EPA Office of Research and Development, Research
Triangle Park, NC 27711 USA
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Chen C, Liu J, Shi W, Li T, Shi X. Temperature-Modified Acute Effects of Ozone on Human Mortality - Beijing Municipality, Tianjin Municipality, Hebei Province, and Surrounding Areas, China, 2013-2018. China CDC Wkly 2021; 3:964-968. [PMID: 34777903 PMCID: PMC8586534 DOI: 10.46234/ccdcw2021.234] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 11/03/2021] [Indexed: 12/30/2022] Open
Abstract
What is already known about this topic? Ozone (O3) is a weather-driven photochemical ambient pollutant, and its harm to human health may be affected by meteorological factors such as temperature. However, there is conflicting evidence regarding whether temperature can modify the effects of ozone on health.
What is added by this report? Short-term exposure to O3 in the Beijing Municipality, Tianjin Municipality, Hebei Province, and surrounding areas was associated with an increased risk of human mortality and that association was positive modified by relatively higher (>75th 24 h-average temperature) or extreme cold temperature (<10th 24 h-average temperature). Under extreme temperatures (>90th 24 h-average temperature) modification, the associations were further increased. Cardiopulmonary diseases, as vulnerable diseases of air pollution, their mortality risks associated with O3 were markedly strengthened by uncomfortable temperatures.
What are the implications for public health practice? This study suggests that policymakers should pay attention to the synergistic effect between ozone and heat or extreme cold on human health, as well as provide evidence for establishing an integrated early-warning system to protect the public against both uncomfortable temperature and air pollution.
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Affiliation(s)
- Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jing Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wanying Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
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47
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Ambient Ozone, PM 1 and Female Lung Cancer Incidence in 436 Chinese Counties. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph181910386. [PMID: 34639686 PMCID: PMC8508222 DOI: 10.3390/ijerph181910386] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 09/26/2021] [Accepted: 09/29/2021] [Indexed: 11/16/2022]
Abstract
Ozone air pollution has been increasingly severe and has become another major air pollutant in Chinese cities, while PM1 is more harmful to human health than coarser PMs. However, nationwide studies estimating the effects of ozone and PM1 are quite limited in China. This study aims to assess the spatial associations between ozone (and PM1) and the incidence rate of female lung cancer in 436 Chinese cancer registries (counties/districts). The effects of ozone and PM1 were estimated, respectively, using statistical models controlling for time, location and socioeconomic covariates. Then, three sensitivity analyses including the adjustments of smoking covariates and co-pollutant (SO2) and the estimates of ozone, PM1 and SO2 effects in the same model, were conducted to test the robustness of the effects of the two air pollutants. Further still, we investigated the modifying role of urban-rural division on the effects of ozone and PM1. According to the results, a 10 μg/m3 increase in ozone and PM1 was associated with a 4.57% (95% CI: 4.32%, 16.16%) and 4.89% (95% CI: 4.37%, 17.56%) increase in the incidence rate of female lung cancer relative to its mean, respectively. Such ozone and PM1 effects were still significant in three sensitivity analyses. Regarding the modifying role of urban-rural division, the effect of PM1 was greater by 2.98% (95% CI: 1.01%, 4.96%) in urban than in rural areas when PM1 changed by 10 μg/m3. However, there was no modification effect of urban-rural division for ozone. In conclusion, there were positive associations between ozone (and PM1) and the incidence rate of female lung cancer in China. Urban-rural division may modify the effect of PM1 on the incidence rate of female lung cancer, which is seldom reported. Continuous and further prevention and control measures should be developed to alleviate the situation of the two air pollutants.
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48
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Li A, Zhou Q, Xu Q. Prospects for ozone pollution control in China: An epidemiological perspective. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 285:117670. [PMID: 34380231 DOI: 10.1016/j.envpol.2021.117670] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 06/17/2021] [Accepted: 06/26/2021] [Indexed: 06/13/2023]
Abstract
Severe surface ozone pollution has become widespread in China. To protect public health, Chinese scientific communities and government agencies have striven to mitigate ozone pollution. However, makers of pollution mitigation policies rarely consider epidemiological research, and communication between epidemiological researchers and the government is poor. Therefore, this article reviews the current mitigation policies and the National Ambient Air Quality Standard (NAAQS) for ozone from an epidemiological perspective and proposes recommendations for researchers and policy makers on the basis of epidemiological evidence. We review current nationwide ozone control measures for mitigating ozone pollution from four dimensions: the integration of ozone and particulate matter control, ozone precursors control, ozone control in different seasons, and regional cooperation on the prevention of ozone pollution. In addition, we present environmental and epidemiological evidence and propose recommendations and discuss relevant ozone metrics and the criteria values of the NAAQS. We finally conclude that the disease burden attributable to ozone exposure in China may be underestimated and that the epidemiological research regarding the health effects of integrating ozone and particulate matter control is insufficient. Furthermore, atmospheric volatile organic compounds are severely detrimental to health, and related control policies are urgently required in China. We recommend a greater focus on winter ozone pollution and conclude that the health benefits of regional cooperation on ozone control and prevention are salient. We argue that daily average ozone concentration may be a more biologically relevant ozone metric than those currently used by the NAAQS, and accumulating epidemiological evidence supports revision of the standards. This review provides new insight for ozone mitigation policies and related epidemiological studies in China.
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Affiliation(s)
- Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Quan Zhou
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China.
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Zhang Z, Yao M, Wu W, Zhao X, Zhang J. Spatiotemporal assessment of health burden and economic losses attributable to short-term exposure to ground-level ozone during 2015-2018 in China. BMC Public Health 2021; 21:1069. [PMID: 34090376 PMCID: PMC8178864 DOI: 10.1186/s12889-021-10751-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 04/05/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Ground-level ozone (O3) pollution is currently the one of the severe environmental problems in China. Although existing studies have quantified the O3-related health impact and economic loss, few have focused on the acute health effects of short-term exposure to O3 and have been limited to a single temporal and spatial dimension. METHODS Based on the O3 concentration obtained from ground monitoring networks in 334 Chinese cities in 2015-2018, this study used a two-stage exposure parameter weighted Log-linear exposure-response function to estimate the cause-specific mortality for short-term exposure to O3. RESULTS The value of statistical life (VSL) method that were used to calculate the economic loss at the city-level. Our results show that in China, the national all-cause mortality attributed to O3 was 0.27(95% CI: 0.14-0.55) to 0.39 (95% CI: 0.20-0.67) million across 2015-2018. The estimated economic loss caused by O3 was 387.76 (95% CI: 195.99-904.50) to 594.08 (95% CI: 303.34-1140.65) billion CNY, accounting for 0.52 to 0.69% of total reported GDP. Overall, the O3 attributed health and economic burden has begun to decline in China since 2017. However, highly polluted areas still face severe burden, and undeveloped areas suffer from high GDP losses. CONCLUSIONS There are substantial health impacts and economic losses related to short-term O3 exposure in China. The government should pay attention to the emerging ozone pollution, and continue to strengthen the intervention in traditional priority areas while solving the pollution problem in non-priority areas.
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Affiliation(s)
- Zihan Zhang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No.16 Section 3, Renmin South Road, Chengdu, 610044, China
| | - Minghong Yao
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No.16 Section 3, Renmin South Road, Chengdu, 610044, China
| | - Wenjing Wu
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No.16 Section 3, Renmin South Road, Chengdu, 610044, China
| | - Xing Zhao
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No.16 Section 3, Renmin South Road, Chengdu, 610044, China.
| | - Juying Zhang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No.16 Section 3, Renmin South Road, Chengdu, 610044, China.
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50
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Spatial variation in the joint effect of extreme heat events and ozone on respiratory hospitalizations in California. Proc Natl Acad Sci U S A 2021; 118:2023078118. [PMID: 34031244 DOI: 10.1073/pnas.2023078118] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Extreme heat and ozone are co-occurring exposures that independently and synergistically increase the risk of respiratory disease. To our knowledge, no joint warning systems consider both risks; understanding their interactive effect can warrant use of comprehensive warning systems to reduce their burden. We examined heterogeneity in joint effects (on the additive scale) between heat and ozone at small geographical scales. A within-community matched design with a Bayesian hierarchical model was applied to study this association at the zip code level. Spatially varying relative risks due to interaction (RERI) were quantified to consider joint effects. Determinants of the spatial variability of effects were assessed using a random effects metaregression to consider the role of demographic/neighborhood characteristics that are known effect modifiers. A total of 817,354 unscheduled respiratory hospitalizations occurred in California from 2004 to 2013 in the May to September period. RERIs revealed no additive interaction when considering overall joint effects. However, when considering the zip code level, certain areas observed strong joint effects. A lower median income, higher percentage of unemployed residents, and exposure to other air pollutants within a zip code drove stronger joint effects; a higher percentage of commuters who walk/bicycle, a marker for neighborhood wealth, showed decreased effects. Results indicate the importance of going beyond average measures to consider spatial variation in the health burden of these exposures and predictors of joint effects. This information can be used to inform early warning systems that consider both heat and ozone to protect populations from these deleterious effects in identified areas.
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