1
|
Zhang Y, He Q, Tong X, Yin P, Liu Y, Meng X, Gao Y, Shi S, Li X, Kan H, Zhou M, Li Y, Chen R. Differential associations of fine and coarse particulate air pollution with cause-specific pneumonia mortality: A nationwide, individual-level, case-crossover study. ENVIRONMENTAL RESEARCH 2024; 252:119054. [PMID: 38704007 DOI: 10.1016/j.envres.2024.119054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 03/25/2024] [Accepted: 04/29/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND The connections between fine particulate matter (PM2.5) and coarse particulate matter (PM2.5-10) and daily mortality of viral pneumonia and bacterial pneumonia were unclear. OBJECTIVES To distinguish the connections between PM2.5 and PM2.5-10 and daily mortality due to viral pneumonia and bacterial pneumonia. METHODS Using a comprehensive national death registry encompassing all areas of mainland China, we conducted a case-crossover investigation from 2013 to 2019 at an individual level. Residential daily particle concentrations were evaluated using satellite-based models with a spatial resolution of 1 km. To analyze the data, we employed the conditional logistic regression model in conjunction with polynomial distributed lag models. RESULTS We included 221,507 pneumonia deaths in China. Every interquartile range (IQR) elevation in concentrations of PM2.5 (lag 0-2 d, 37.6 μg/m3) was associated with higher magnitude of mortality for viral pneumonia (3.03%) than bacterial pneumonia (2.14%), whereas the difference was not significant (p-value for difference = 0.38). An IQR increase in concentrations of PM2.5-10 (lag 0-2 d, 28.4 μg/m3) was also linked to higher magnitude of mortality from viral pneumonia (3.06%) compared to bacterial pneumonia (2.31%), whereas the difference was not significant (p-value for difference = 0.52). After controlling for gaseous pollutants, their effects were all stable; however, with mutual adjustment, the associations of PM2.5 remained, and those of PM2.5-10 were no longer statistically significant. Greater magnitude of associations was noted in individuals aged 75 years and above, as well as during the cold season. CONCLUSION This nationwide study presents compelling evidence that both PM2.5 and PM2.5-10 exposures could increase pneumonia mortality of viral and bacterial causes, highlighting the more robust effects of PM2.5 and somewhat higher sensitivity of viral pneumonia.
Collapse
Affiliation(s)
- Ye Zhang
- Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Qinglin He
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Xunliang Tong
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Peng Yin
- National Center for Chronic Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Yunning Liu
- National Center for Chronic Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Ya Gao
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Xinyue Li
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Maigeng Zhou
- National Center for Chronic Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Yanming Li
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
| |
Collapse
|
2
|
Lv Y, Yao J, Wang Y, Bai G, Lin C, Tu C. Co-exposure to fluoride and sulfur dioxide induces abnormal enamel mineralization in rats via the FGF9-mediated MAPK signaling pathway. ENVIRONMENTAL RESEARCH 2024; 250:118527. [PMID: 38387489 DOI: 10.1016/j.envres.2024.118527] [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: 12/19/2023] [Revised: 01/25/2024] [Accepted: 02/19/2024] [Indexed: 02/24/2024]
Abstract
Fluoride (F) and sulfur dioxide (SO2) contamination is recognized as a public health concern worldwide. Our previous research has shown that Co-exposure to F and SO2 can cause abnormal enamel mineralization. Ameloblastin (AMBN) plays a crucial role in the process of enamel mineralization. However, the process by which simultaneous exposure to F and SO2 influences enamel formation by regulating AMBN expression still needs to be understood. This study aimed to establish in vivo and in vitro models of F-SO2 Co-exposure and investigate the relationship between AMBN and abnormal enamel mineralization. By overexpressing/knocking out the Fibroblast Growth Factor 9 (FGF9) gene, we investigated the impact of FGF9-mediated Mitogen-Activated Protein Kinase (MAPK) signaling on AMBN synthesis to elucidate the mechanism underlying the induction of abnormal enamel mineralization by F-SO2 Co-exposure in rats. The results showed that F-SO2 exposure damaged the structure of rat enamel and ameloblasts. When exposed to F or SO2, gradual increases in the protein expression of FGF9 and phosphorylated p38 mitogen-activated protein kinase (p-P38) were observed. Conversely, the protein levels of AMBN, phosphorylated extracellular signal-regulated kinase (p-ERK), and phosphorylated c-Jun N-terminal kinase (p-JNK) were decreased. AMBN expression was significantly correlated with FGF9, p-ERK, and p-JNK expression in ameloblasts. Interestingly, FGF9 overexpression reduced the levels of p-ERK and p-JNK, worsening the inhibitory effect of F-SO2 on AMBN. Conversely, FGF9 knockout increased the phosphorylation of ERK and JNK, partially reversing the F-SO2-induced downregulation of AMBN. Taken together, these findings strongly demonstrate that FGF9 plays a critical role in F-SO2-induced abnormal enamel mineralization by regulating AMBN synthesis through the JNK and ERK pathways.
Collapse
Affiliation(s)
- Ying Lv
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, 550025, China; Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co-constructed By the Province and Ministry, Guizhou Medical University, Guiyang, 550025, China
| | - Jin Yao
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, 550025, China; Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co-constructed By the Province and Ministry, Guizhou Medical University, Guiyang, 550025, China
| | - Yang Wang
- Infrastructure Construction Department, Guizhou Medical University, Guiyang, 550025, China
| | - Guohui Bai
- Key Laboratory of Oral Disease Research, School of Stomatology, Zunyi Medical University, Zunyi, China
| | - Changhu Lin
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, 550025, China; Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co-constructed By the Province and Ministry, Guizhou Medical University, Guiyang, 550025, China.
| | - Chenglong Tu
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, 550025, China; Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co-constructed By the Province and Ministry, Guizhou Medical University, Guiyang, 550025, China.
| |
Collapse
|
3
|
Guan X, Hu Y, Hao J, Lu M, Zhang Z, Hu W, Li D, Li C. Stress, Vascular Smooth Muscle Cell Phenotype and Atherosclerosis: Novel Insight into Smooth Muscle Cell Phenotypic Transition in Atherosclerosis. Curr Atheroscler Rep 2024:10.1007/s11883-024-01220-8. [PMID: 38814419 DOI: 10.1007/s11883-024-01220-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/20/2024] [Indexed: 05/31/2024]
Abstract
PURPOSE OF REVIEW Our work is to establish more distinct association between specific stress and vascular smooth muscle cells (VSMCs) phenotypes to alleviate atherosclerotic plaque burden and delay atherosclerosis (AS) progression. RECENT FINDING In recent years, VSMCs phenotypic transition has received significant interests. Different stresses were found to be associated with VSMCs phenotypic transition. However, the explicit correlation between VSMCs phenotype and specific stress has not been elucidated clearly yet. We discover that VSMCs phenotypic transition, which is widely involved in the progression of AS, is associated with specific stress. We discuss approaches targeting stresses to intervene VSMCs phenotypic transition, which may contribute to develop innovative therapies for AS.
Collapse
Affiliation(s)
- Xiuya Guan
- Innovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Yuanlong Hu
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Jiaqi Hao
- Innovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Mengkai Lu
- Innovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Zhiyuan Zhang
- Innovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Wenxian Hu
- Qingdao Hiser Hospital Affiliated of Qingdao University (Qingdao Traditional Chinese Medicine Hospital), Qingdao, 266000, China.
| | - Dongxiao Li
- Experimental Center, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China.
| | - Chao Li
- Innovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China.
- Qingdao Hiser Hospital Affiliated of Qingdao University (Qingdao Traditional Chinese Medicine Hospital), Qingdao, 266000, China.
| |
Collapse
|
4
|
Zeng M, Lin Z, Li G, Tang J, Wu Y, Zhang H, Liu T. Risk/benefit trade-off of habitual physical activity and air pollution on mortality: A large-scale prospective analysis in the UK Biobank. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 279:116471. [PMID: 38772143 DOI: 10.1016/j.ecoenv.2024.116471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 05/13/2024] [Accepted: 05/14/2024] [Indexed: 05/23/2024]
Abstract
BACKGROUND Previous observational studies have indicated associations of physical activity (PA) and air pollution with mortality. A few studies have evaluated air pollution and PA interactions for health. Still, the trade-off between the harmful effects of air pollution exposure and the protective effects of PA remains controversial and unclear. OBJECTIVE This study aimed to investigate the joint association of air pollution and PA with mortality risks. METHODS This prospective cohort study included 322,092 participants from 2006 to 2010 and followed up to 2021 in the UK Biobank study. The concentrations of air pollutants (2006-2010), including particulate matter (PM) with diameters <=2.5 mm (PM2.5), <=10 mm (PM10), and between 2.5 and 10 mm (PM2.5-10), and nitrogen oxides (NO2 and NOx) were obtained. Information on PA measured by the International Physical Activity Questionnaire short form (2006-2010) and wrist-worn accelerometer (2013-2015) were collected. All-cause and cause-specific mortalities were recorded. Cox proportional hazard models were used to investigate the associations of air pollution exposure and PA with mortality risks. The additive and multiplicative interactions were also examined. RESULTS During a mean follow-up of 11.83 years, 16629 deaths were recorded. Compared with participants reporting low PA, higher PA was negatively associated with all-cause [hazard ratio (HR), 0.74; 95% CI, 0.71-0.78], cancer (HR, 0.85; 95% CI, 0.80-0.90), CVD (HR, 0.79; 95% CI, 0.71-0.87), and respiratory disease-specific mortality (HR, 0.51; 95% CI, 0.44-0.60). Exposure to PM2.5 (HR, 1.05; 95% CI, 1.00-1.09) and NOx (HR, 1.06; 95% CI, 1.02-1.10) was connected with increased all-cause mortality risk, and significant PM2.5-associated elevated risks for CVD mortality and NOx-associated elevated risks for respiratory disease mortality were observed. No obvious interaction between PA and PM2.5 or NOx exposure was detected. CONCLUSIONS Our study provides additional evidence that higher PA and lower air pollutant levels are independently connected with reduced mortality risk. The benefits of PA are not significantly affected by long-term air pollution exposure, indicating PA can be recommended to prevent mortality regardless of air pollution levels. Our findings highlight the importance of public health policies and interventions facilitating PA and reducing air pollution in reducing mortality risks and maximizing health benefits. Future investigation is urgently needed to identify these findings in areas with severe air pollution conditions.
Collapse
Affiliation(s)
- Min Zeng
- Department of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei, Anhui 230026, People's Republic of China
| | - Zhengjun Lin
- Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, People's Republic of China; Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, People's Republic of China
| | - Guoqing Li
- Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, People's Republic of China; Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, People's Republic of China
| | - Jinxin Tang
- Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, People's Republic of China; Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, People's Republic of China
| | - Yanlin Wu
- National Clinical Research Center for Metabolic Disease, Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, People's Republic of China
| | - Hong Zhang
- Department of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei, Anhui 230026, People's Republic of China.
| | - Tang Liu
- Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, People's Republic of China.
| |
Collapse
|
5
|
Xu J, Ni M, Wang J, Zhu J, Niu G, Cui J, Li X, Meng Q, Chen R. Low-level PM 2.5 induces the occurrence of early pulmonary injury by regulating circ_0092363. ENVIRONMENT INTERNATIONAL 2024; 187:108700. [PMID: 38678936 DOI: 10.1016/j.envint.2024.108700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 04/09/2024] [Accepted: 04/23/2024] [Indexed: 05/01/2024]
Abstract
The significant correlation between particulate matter with aerodynamic diameters of ≤ 2.5 µm (PM2.5) and the high morbidity and mortality of respiratory diseases has become the consensus of the research. Epidemiological studies have clearly pointed out that there is no safe concentration of PM2.5, and mechanism studies have also shown that exposure to PM2.5 will first cause pulmonary inflammation. Therefore, the purpose of this study is to explore the mechanism of early lung injury induced by low-level PM2.5 from the perspective of epigenetics. Based on the previous results of population samples, combined with an in vitro/vivo exposure model of PM2.5, it was found that low-level PM2.5 promoted the transport of circ_0092363 from intracellular to extracellular spaces. The decreased expression of intracellular circ_0092363 resulted in reduced absorption of miR-31-5p, leading to inhibition of Rho associated coiled-coil containing protein kinase 1 (ROCK1) and the subsequent abnormal expression of tight junction proteins such as Zonula occludens protein 1 (ZO-1) and Claudin-1, ultimately inducing the occurrence of early pulmonary injury. Furthermore, this study innovatively introduced organoid technology and conducted a preliminary exploration for a study of the relationship among environmental exposure genomics, epigenetics and disease genomics in organoids. The role of circ_0092363 in early pulmonary injury induced by low-level PM2.5 was elucidated, and its value as a potential diagnostic biomarker was confirmed.
Collapse
Affiliation(s)
- Jie Xu
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming 650500, China.
| | - Mengyao Ni
- School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Jing Wang
- School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Jiahao Zhu
- School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Guolei Niu
- School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Jiajing Cui
- School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Xiaobo Li
- School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Qingtao Meng
- School of Public Health, Capital Medical University, Beijing 100069, China; Laboratory for Gene-Environment and Reproductive Health, Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China; Beijing Laboratory of Allergic Diseases, Beijing Municipal Education Commission, Beijing 100069, China.
| | - Rui Chen
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Laboratory of Allergic Diseases, Beijing Municipal Education Commission, Beijing 100069, China; Department of Occupational and Environmental Health, Fourth Military Medical University, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an 710032, China.
| |
Collapse
|
6
|
Chen Y, Chen S, Zhang L, Kang W, Lin G, Yang Q. Association between ambient air pollutants and short-term mortality risks during 2015-2019 in Guangzhou, China. Front Public Health 2024; 12:1359567. [PMID: 38500735 PMCID: PMC10944870 DOI: 10.3389/fpubh.2024.1359567] [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: 12/21/2023] [Accepted: 02/22/2024] [Indexed: 03/20/2024] Open
Abstract
With the development of technology and industry, the problem of global air pollution has become difficult to ignore. We investigated the association between air pollutant concentrations and daily all-cause mortality and stratified the analysis by sex, age, and season. Data for six air pollutants [fine particulate matter (PM2.5), inhalable particles (PM10), nitric dioxide (NO2), sulfur dioxide (SO2), ozone (O3), and carbon monoxide (CO)] and daily mortality rates were collected from 2015 to 2019 in Guangzhou, China. A time-series study using a quasi-Poisson generalized additive model was used to examine the relationships between environmental pollutant concentrations and mortality. Mortality data for 296,939 individuals were included in the analysis. The results showed that an increase of 10 μg/m3 in the concentrations of PM2.5, PM10, SO2, O3, NO2, and CO corresponded to 0.84% [95% confidence interval (CI): 0.47, 1.21%], 0.70% (0.44, 0.96%), 3.59% (1.77, 5.43%), 0.21% (0.05, 0.36%), 1.06% (0.70, 1.41%), and 0.05% (0.02, 0.09%), respectively. The effects of the six air pollutants were more significant for male individuals than female individuals, the cool season than the warm season, and people 75 years or older than those younger than 75 years. PM2.5, PM10, SO2, and NO2 were all associated with neoplasms and circulatory and respiratory diseases. The two-pollutant models found that PM2.5, PM10, and NO2 may independently affect the risk of mortality. The results showed that exposure to PM2.5, PM10 and NO2 may increase the risk of daily all-cause excessive mortality in Guangzhou.
Collapse
Affiliation(s)
- Yuyang Chen
- School of Anesthesiology, Southern Medical University, Guangzhou, China
| | - Sili Chen
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Lei Zhang
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Weishan Kang
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Guozhen Lin
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Qiaoyuan Yang
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| |
Collapse
|
7
|
Li W, Wang W. Causal effects of exposure to ambient air pollution on cancer risk: Insights from genetic evidence. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168843. [PMID: 38029998 DOI: 10.1016/j.scitotenv.2023.168843] [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: 07/16/2023] [Revised: 11/22/2023] [Accepted: 11/22/2023] [Indexed: 12/01/2023]
Abstract
Air pollution has been increasingly linked to cancer risk. However, the genetic causality between air pollution and cancer risk remains poorly understood. To elucidate the potential roles of air pollution (NOx, NO2, PM2.5, PM course, and PM10) in the risk of 18 specific-site cancers, large-scale genome-wide association studies with a novel Mendelian randomization (MR) method were employed. Our MR analyses revealed significant associations between certain air pollutants and specific types of cancer. Specifically, a positive association was observed between NOx exposure and squamous cell lung cancer (OR: 1.96, 95%CI: 1.07-3.59, p = 0.03) as well as esophageal cancer (OR: 1.002, 95%CI: 1.001-1.003, p = 0.005). Genetically predicted NO2 exposure was found to be a risk factor for endometrial cancer (OR 1.41, 95%CI: 1.03-1.94, p = 0.03) and ovarian cancer (OR: 1.49, 95%CI: 1.14-1.95, p = 0.0037). Additionally, genetically predicted PM2.5 exposure was associated with an increased risk of ER+ breast cancer (OR: 1.24, 95%CI: 1.03-1.5, p = 0.02) and ER- breast cancer (OR: 2.57, 95%CI: 1.05-6.3, p = 0.04). PM course exposure was identified as a risk factor for glioma (OR: 487.28, 95%CI: 13.08-18,153, p = 0.0008), while PM10 exposure exerted a detrimental effect on mesothelioma (OR: 114.75, 95%CI: 1.14-11,500.11, p = 0.04) and esophageal cancer (OR: 1.01, 95%CI: 1.007-1.02, p = 0.03). These findings underscored the importance of mitigating air pollution to reduce the burden of cancer and highlight the need for further investigations to elucidate the underlying mechanisms involved in these associations.
Collapse
Affiliation(s)
- Wenjie Li
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, China.
| | - Wei Wang
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, China.
| |
Collapse
|
8
|
Pedde M, Larson TV, D’Souza J, Szpiro AA, Kloog I, Lisabeth LD, Jacobs D, Sheppard L, Allison M, Kaufman JD, Adar SD. Coarse Particulate Matter and Markers of Inflammation and Coagulation in the Multi-Ethnic Study of Atherosclerosis (MESA) Population: A Repeat Measures Analysis. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:27009. [PMID: 38381480 PMCID: PMC10880818 DOI: 10.1289/ehp12972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 01/09/2024] [Accepted: 01/16/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND In contrast to fine particles, less is known of the inflammatory and coagulation impacts of coarse particulate matter (PM 10 - 2.5 , particulate matter with aerodynamic diameter ≤ 10 μ m and > 2.5 μ m ). Toxicological research suggests that these pathways might be important processes by which PM 10 - 2.5 impacts health, but there are relatively few epidemiological studies due to a lack of a national PM 10 - 2.5 monitoring network. OBJECTIVES We used new spatiotemporal exposure models to examine associations of both 1-y and 1-month average PM 10 - 2.5 concentrations with markers of inflammation and coagulation. METHODS We leveraged data from 7,071 Multi-Ethnic Study of Atherosclerosis and ancillary study participants 45-84 y of age who had repeated plasma measures of inflammatory and coagulation biomarkers. We estimated PM 10 - 2.5 at participant addresses 1 y and 1 month before each of up to four exams (2000-2012) using spatiotemporal models that incorporated satellite, regulatory monitoring, and local geographic data and accounted for spatial correlation. We used random effects models to estimate associations with interleukin-6 (IL-6), C-reactive protein (CRP), fibrinogen, and D-dimer, controlling for potential confounders. RESULTS Increases in PM 10 - 2.5 were not associated with greater levels of inflammation or coagulation. A 10 - μ g / m 3 increase in annual average PM 10 - 2.5 was associated with a 2.5% decrease in CRP [95% confidence interval (CI): - 5.5 , 0.6]. We saw no association between annual average PM 10 - 2.5 and the other markers (IL-6: - 0.7 % , 95% CI: - 2.6 , 1.2; fibrinogen: - 0.3 % , 95% CI: - 0.9 , 0.3; D-dimer: - 0.2 % , 95% CI: - 2.6 , 2.4). Associations consistently showed that a 1 0 - μ g / m 3 increase in 1-month average PM 10 - 2.5 was associated with reduced inflammation and coagulation, though none were distinguishable from no association (IL-6: - 1.2 % , 95% CI: - 3.0 , 0.5; CRP: - 2.5 % , 95% CI: - 5.3 , 0.4; fibrinogen: - 0.4 % , 95% CI: - 1.0 , 0.1; D-dimer: - 2.0 % , 95% CI: - 4.3 , 0.3). DISCUSSION We found no evidence that PM 10 - 2.5 is associated with higher inflammation or coagulation levels. More research is needed to determine whether the inflammation and coagulation pathways are as important in explaining observed PM 10 - 2.5 health impacts in humans as they have been shown to be in toxicology studies or whether PM 10 - 2.5 might impact human health through alternative biological mechanisms. https://doi.org/10.1289/EHP12972.
Collapse
Affiliation(s)
- Meredith Pedde
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Timothy V. Larson
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
- Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington, USA
| | - Jennifer D’Souza
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Adam A. Szpiro
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Lynda D. Lisabeth
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - David Jacobs
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Lianne Sheppard
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Matthew Allison
- Division of Preventive Medicine, University of California San Diego, San Diego, California, USA
| | - Joel D. Kaufman
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Sara D. Adar
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| |
Collapse
|
9
|
Shi W, Li Y, Zhao JV. Long-term exposure to ambient air pollution with sarcopenia among middle-aged and older adults in China. J Nutr Health Aging 2024; 28:100029. [PMID: 38388113 DOI: 10.1016/j.jnha.2023.100029] [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: 09/26/2023] [Accepted: 11/19/2023] [Indexed: 02/24/2024]
Abstract
BACKGROUND Few studies have examined the role of outdoor air pollution exposure in sarcopenia in Asia. We aimed to investigate the association of outdoor air pollutants exposure with sarcopenia among Chinese adults. METHODS This nationally population-representative study used data from the China Health and Retirement Longitudinal Study (CHARLS) in 2015, 11,700 participants at least 45 years old from 125 Chinese cities were included. Sarcopenia status was identified according to the Asian Working Group for Sarcopenia 2019 (AWGS 2019) criteria. Ambient annual average air pollutants including fine particulate matter (PM2.5), inhalable particles (PM10), coarse particulate matter (PMcoarse), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO) were estimated by satellite models and ground-based measurements. Multinomial logistic regression models were performed to examine the associations of air pollutants exposure with different status of sarcopenia (including possible sarcopenia and sarcopenia). Stratified analyses were utilized to assess the effect modifiers. RESULTS Among the 11,700 participants (52.6% women), the average age was 61.0 years. Each 10 μg/m3 increment of annual PMcoarse was associated with a higher risk of possible sarcopenia (odds ratio (OR) = 1.08, 95% confidence interval (CI) 1.04-1.11). Stratified analyses showed a positive risk of possible sarcopenia in women after exposure to PM10, PMcoarse, and NO2. Ambient NO2 exposure was positively associated with sarcopenia (OR = 1.13, 95% CI 1.04-1.22) in those aged 65 years and older. However, we have not observed differences by sex, age, residence, smoking, and drinking. Robustness results were found for PMcoarse in the sensitivity analyses. CONCLUSION This nationwide study suggested that long-term exposure to outdoor air pollution, especially for PMcoarse, was associated with the risk of sarcopenia among Chinese adults. Our findings provide epidemiological implications for protecting healthy ageing by improving air quality.
Collapse
Affiliation(s)
- Wenming Shi
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 999077, Hong Kong SAR, China
| | - Yongzhen Li
- Clinical Nutrition Department, Starkids Children's Hospital, Shanghai, New Hong Qiao Campus for Children's Hospital of Fudan University, Shanghai, 201106, China
| | - Jie V Zhao
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 999077, Hong Kong SAR, China.
| |
Collapse
|
10
|
Demoury C, Aerts R, Berete F, Lefebvre W, Pauwels A, Vanpoucke C, Van der Heyden J, De Clercq EM. Impact of short-term exposure to air pollution on natural mortality and vulnerable populations: a multi-city case-crossover analysis in Belgium. Environ Health 2024; 23:11. [PMID: 38267996 PMCID: PMC10809644 DOI: 10.1186/s12940-024-01050-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 01/07/2024] [Indexed: 01/26/2024]
Abstract
BACKGROUND The adverse effect of air pollution on mortality is well documented worldwide but the identification of more vulnerable populations at higher risk of death is still limited. The aim of this study was to evaluate the association between natural mortality (overall and cause-specific) and short-term exposure to five air pollutants (PM2.5, PM10, NO2, O3 and black carbon) and identify potential vulnerable populations in Belgium. METHODS We used a time-stratified case-crossover design with conditional logistic regressions to assess the relationship between mortality and air pollution in the nine largest Belgian agglomerations. Then, we performed a random-effect meta-analysis of the pooled results and described the global air pollution-mortality association. We carried out stratified analyses by individual characteristics (sex, age, employment, hospitalization days and chronic preexisting health conditions), living environment (levels of population density, built-up areas) and season of death to identify effect modifiers of the association. RESULTS The study included 304,754 natural deaths registered between 2010 and 2015. We found percentage increases for overall natural mortality associated with 10 μg/m3 increases of air pollution levels of 0.6% (95% CI: 0.2%, 1.0%) for PM2.5, 0.4% (0.1%, 0.8%) for PM10, 0.5% (-0.2%, 1.1%) for O3, 1.0% (0.3%, 1.7%) for NO2 and 7.1% (-0.1%, 14.8%) for black carbon. There was also evidence for increases of cardiovascular and respiratory mortality. We did not find effect modification by individual characteristics (sex, age, employment, hospitalization days). However, this study suggested differences in risk of death for people with preexisting conditions (thrombosis, cardiovascular diseases, asthma, diabetes and thyroid affections), season of death (May-September vs October-April) and levels of built-up area in the neighborhood (for NO2). CONCLUSIONS This work provided evidence for the adverse health effects of air pollution and contributed to the identification of specific population groups. These findings can help to better define public-health interventions and prevention strategies.
Collapse
Affiliation(s)
- Claire Demoury
- Risk and Health Impact Assessment, Sciensano, Brussels, Belgium.
| | - Raf Aerts
- Risk and Health Impact Assessment, Sciensano, Brussels, Belgium
- Division Ecology, Evolution and Biodiversity Conservation, KU Leuven, Louvain, Belgium
- Center for Environmental Sciences, University of Hasselt, Hasselt, Belgium
| | | | - Wouter Lefebvre
- Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Arno Pauwels
- Risk and Health Impact Assessment, Sciensano, Brussels, Belgium
- Health Information, Sciensano, Brussels, Belgium
| | | | | | - Eva M De Clercq
- Risk and Health Impact Assessment, Sciensano, Brussels, Belgium
| |
Collapse
|
11
|
Pang L, Jiang M, Sui X, Dou Y, Yu W, Huxley R, Saldiva P, Hu J, Schikowski T, Krafft T, Gao P, Zhao Y, Zhao H, Zhao Q, Chen ZJ. Association of PM 2.5 mass and its components with ovarian reserve in a northern peninsular province, China: The critical exposure period and components. JOURNAL OF HAZARDOUS MATERIALS 2024; 462:132735. [PMID: 37832436 DOI: 10.1016/j.jhazmat.2023.132735] [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: 06/01/2023] [Revised: 09/21/2023] [Accepted: 10/05/2023] [Indexed: 10/15/2023]
Abstract
BACKGROUND A possible role of PM2.5 components on ovarian reserve has not been adequately unexplored. OBJECTIVE To evaluate the association between PM2.5 components and women' ovarian reserve over critical exposure periods in northern China, where the level of air pollution is among the nation's highest. METHODS We included 15,102 women with serum anti-Müllerian hormone (AMH) measurements from the Center for Reproductive Medicine of Shandong University during 2015-2019. Concentrations of PM2.5 and its five major components (0.1° × 0.1°), including sulfate, nitrate, ammonium, organic matter, and black carbon, were assigned to each residential address. Multivariable linear mixed effect models combined with constituent-residual models were performed to estimate the effect sizes of essential components over six short- to long-term exposure periods. RESULTS The strength of association was stronger during the process from primary to small antral follicle compared with other longer windows. For every interquartile range increase in PM2.5 mass was associated with - 8.7% (95%CI: -12.3%, -4.9%) change in AMH and the effect size was greatest for sulfate. Women with the lower level of attained education and those living inland were more susceptible compared with other population subgroups. CONCLUSION Exposure to specific components of air pollution during critical exposure windows is associated with a decline in ovarian reserve. These data add to the growing body of evidence that environmental factors have adverse effects on reproductive health, particularly for vulnerable population subgroups.
Collapse
Affiliation(s)
- Lihong Pang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Shandong University, Jinan, Shandong 250012, China; Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China; Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong 250012, China
| | - Mingdong Jiang
- Dezhou Center for Disease Control and Prevention, Dezhou, Shandong 253000, China
| | - Xinlei Sui
- State Key Laboratory of Reproductive Medicine and Offspring Health, Shandong University, Jinan, Shandong 250012, China; Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China; Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong 250012, China
| | - Yunde Dou
- State Key Laboratory of Reproductive Medicine and Offspring Health, Shandong University, Jinan, Shandong 250012, China; Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China; Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong 250012, China
| | - Wenhao Yu
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250012, China
| | - Rachel Huxley
- Faculty of Health, Deakin University, Melbourne 3000, Australia
| | - Paulo Saldiva
- Department of Pathology, Faculty of Medicine, University of São Paulo, São Paulo 01000, Brazil
| | - Jingmei Hu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Shandong University, Jinan, Shandong 250012, China; Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China; Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong 250012, China
| | - Tamara Schikowski
- Department of Epidemiology, IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf 40225, Germany
| | - Thomas Krafft
- Department of Health, Ethics & Society, Care and Public Health Research Institute CAPHRI, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht 6211, the Netherlands
| | - Panjun Gao
- Department of Health, Ethics & Society, Care and Public Health Research Institute CAPHRI, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht 6211, the Netherlands
| | - Yueran Zhao
- State Key Laboratory of Reproductive Medicine and Offspring Health, Shandong University, Jinan, Shandong 250012, China; Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China; Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong 250012, China.
| | - Han Zhao
- State Key Laboratory of Reproductive Medicine and Offspring Health, Shandong University, Jinan, Shandong 250012, China; Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China; Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong 250012, China.
| | - Qi Zhao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250012, China; Faculty of Health, Deakin University, Melbourne 3000, Australia.
| | - Zi-Jiang Chen
- State Key Laboratory of Reproductive Medicine and Offspring Health, Shandong University, Jinan, Shandong 250012, China; Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong 250012, China; Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250012, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong 250012, China; Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai 200135, China; Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences (No.2021RU001), Jinan, Shandong 250012, China
| |
Collapse
|
12
|
Krittanawong C, Qadeer YK, Hayes RB, Wang Z, Thurston GD, Virani S, Lavie CJ. PM 2.5 and cardiovascular diseases: State-of-the-Art review. INTERNATIONAL JOURNAL OF CARDIOLOGY. CARDIOVASCULAR RISK AND PREVENTION 2023; 19:200217. [PMID: 37869561 PMCID: PMC10585625 DOI: 10.1016/j.ijcrp.2023.200217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 09/09/2023] [Accepted: 09/20/2023] [Indexed: 10/24/2023]
Abstract
Air pollution, especially exposure to particulate matter 2.5 (PM2.5), has been associated with an increase in morbidity and mortality around the world. Specifically, it seems that PM2.5 promotes the development of cardiovascular risk factors such as hypertension and atherosclerosis, while being associated with an increased risk of cardiovascular diseases, including myocardial infarction (MI), stroke, heart failure, and arrhythmias. In this review, we seek to elucidate the pathophysiological mechanisms by which exposure to PM2.5 can result in adverse cardiovascular outcomes, in addition to understanding the link between exposure to PM2.5 and cardiovascular events. It is hypothesized that PM2.5 functions via 3 mechanisms: increased oxidative stress, activation of the inflammatory pathway of the immune system, and stimulation of the autonomic nervous system which ultimately promote endothelial dysfunction, atherosclerosis, and systemic inflammation that can thus lead to cardiovascular events. It is important to note that the various cardiovascular associations of PM2.5 differ regarding the duration of exposure (short vs long) to PM2.5, the source of PM2.5, and regulations regarding air pollution in the area where PM2.5 is prominent. Current strategies to reduce PM2.5 exposure include personal strategies such as avoiding high PM2.5 areas such as highways or wearing masks outdoors, to governmental policies restricting the amount of PM2.5 produced by organizations. This review, by highlighting the significant impact between PM2.5 exposure and cardiovascular health will hopefully bring awareness and produce significant change regarding dealing with PM2.5 levels worldwide.
Collapse
Affiliation(s)
| | | | - Richard B. Hayes
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Zhen Wang
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - George D. Thurston
- Department of Environmental Medicine, New York University School of Medicine, Tuxedo, New York, USA
| | - Salim Virani
- Section of Cardiology, Baylor College of Medicine, Houston, TX, USA
- The Aga Khan University, Karachi, Pakistan
| | - Carl J. Lavie
- John Ochsner Heart and Vascular Institute, Ochsner Clinical School, The University of Queensland School of Medicine, New Orleans, LA, USA
| |
Collapse
|
13
|
Quoc TT, Bácskay I, Fehér P, Pallér Á, Papp B, Bíró K, Ujhelyi Z. Personalized Nasal Protective Devices: Importance and Perspectives. Life (Basel) 2023; 13:2116. [PMID: 38004256 PMCID: PMC10672262 DOI: 10.3390/life13112116] [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: 08/28/2023] [Revised: 10/16/2023] [Accepted: 10/22/2023] [Indexed: 11/26/2023] Open
Abstract
Nowadays, in addition to diseases caused by environmental pollution, the importance of personalized protection against various infectious agents has become of paramount importance. Besides medicine, several technical and technological studies have been carried out to develop suitable devices. One such revolutionary solution is the use of personalized nasal filters, which allow our body to defend itself more effectively against external environmental damage and pathogens. These filters are small devices that are placed in the nose and specifically filter the inhaled environmental contaminants, allergens, and microorganisms according to individual needs. These devices not only play a key role in maintaining our health but also contribute to environmental protection, reducing the inhalation of pollutants and their harmful impact on the natural environment. Another advantage of personalized filters is that they also provide an opportunity to strengthen our individual immune systems. The use of personalized filters allows medicine to provide optimized protection for everyone, focusing on individual genetic and immunological conditions. The momentum behind the development and research of personalized nasal filters has reached astonishing proportions today. Nowadays, many research groups and medical institutions are working to create new materials, nanotechnologies, and bioinformatics solutions in order to create even more effective personalized nasal filters that can also be shaped easily and safely. Considering the needs of the users is at least as important during development as the efficiency of the device. These two properties together determine the success of the product. Industry research focuses not only on improving the efficiency of devices, but also on making them more responsive to user needs, comfort, and portability. Based on all this, it can be concluded that personalized nasal filters can be a promising and innovative solution for protection against environmental pollutants and pathogens. Through a commitment to the research and development of technology, the long-term impact of such devices on our health and the environment can be significant, contributing to improving people's quality of life and creating a sustainable future. With unique solutions and continuous research, we give hope that in the future, despite the environmental challenges, we can enjoy the protection of our health with even more efficient and sophisticated devices.
Collapse
Affiliation(s)
- Thinh To Quoc
- Department of Pharmaceutical Technology, Faculty of Pharmacy, University of Debrecen, Nagyerdei Sqr 98, 4032 Debrecen, Hungary; (T.T.Q.); (I.B.); (P.F.); (Á.P.); (B.P.)
- Doctoral School of Pharmaceutical Sciences, University of Debrecen, Nagyerdei Sqr 98, 4032 Debrecen, Hungary;
| | - Ildikó Bácskay
- Department of Pharmaceutical Technology, Faculty of Pharmacy, University of Debrecen, Nagyerdei Sqr 98, 4032 Debrecen, Hungary; (T.T.Q.); (I.B.); (P.F.); (Á.P.); (B.P.)
- Doctoral School of Pharmaceutical Sciences, University of Debrecen, Nagyerdei Sqr 98, 4032 Debrecen, Hungary;
- Institute of Healthcare Industry, University of Debrecen, Nagyerdei Sqr 98, 4032 Debrecen, Hungary
| | - Pálma Fehér
- Department of Pharmaceutical Technology, Faculty of Pharmacy, University of Debrecen, Nagyerdei Sqr 98, 4032 Debrecen, Hungary; (T.T.Q.); (I.B.); (P.F.); (Á.P.); (B.P.)
- Doctoral School of Pharmaceutical Sciences, University of Debrecen, Nagyerdei Sqr 98, 4032 Debrecen, Hungary;
| | - Ádám Pallér
- Department of Pharmaceutical Technology, Faculty of Pharmacy, University of Debrecen, Nagyerdei Sqr 98, 4032 Debrecen, Hungary; (T.T.Q.); (I.B.); (P.F.); (Á.P.); (B.P.)
| | - Boglárka Papp
- Department of Pharmaceutical Technology, Faculty of Pharmacy, University of Debrecen, Nagyerdei Sqr 98, 4032 Debrecen, Hungary; (T.T.Q.); (I.B.); (P.F.); (Á.P.); (B.P.)
- Doctoral School of Pharmaceutical Sciences, University of Debrecen, Nagyerdei Sqr 98, 4032 Debrecen, Hungary;
| | - Krisztina Bíró
- Doctoral School of Pharmaceutical Sciences, University of Debrecen, Nagyerdei Sqr 98, 4032 Debrecen, Hungary;
- Hospital Pharmacy at the University of Debrecen, University of Debrecen, Nagyerdei Sqr 98, 4032 Debrecen, Hungary
| | - Zoltán Ujhelyi
- Department of Pharmaceutical Technology, Faculty of Pharmacy, University of Debrecen, Nagyerdei Sqr 98, 4032 Debrecen, Hungary; (T.T.Q.); (I.B.); (P.F.); (Á.P.); (B.P.)
- Doctoral School of Pharmaceutical Sciences, University of Debrecen, Nagyerdei Sqr 98, 4032 Debrecen, Hungary;
| |
Collapse
|
14
|
Liu C, Chen R, Sera F, Vicedo-Cabrera AM, Guo Y, Tong S, Lavigne E, Correa PM, Ortega NV, Achilleos S, Roye D, Jaakkola JJ, Ryti N, Pascal M, Schneider A, Breitner S, Entezari A, Mayvaneh F, Raz R, Honda Y, Hashizume M, Ng CFS, Gaio V, Madureira J, Holobaca IH, Tobias A, Íñiguez C, Guo YL, Pan SC, Masselot P, Bell ML, Zanobetti A, Schwartz J, Gasparrini A, Kan H. Interactive effects of ambient fine particulate matter and ozone on daily mortality in 372 cities: two stage time series analysis. BMJ 2023; 383:e075203. [PMID: 37793695 PMCID: PMC10548261 DOI: 10.1136/bmj-2023-075203] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/14/2023] [Indexed: 10/06/2023]
Abstract
OBJECTIVE To investigate potential interactive effects of fine particulate matter (PM2.5) and ozone (O3) on daily mortality at global level. DESIGN Two stage time series analysis. SETTING 372 cities across 19 countries and regions. POPULATION Daily counts of deaths from all causes, cardiovascular disease, and respiratory disease. MAIN OUTCOME MEASURE Daily mortality data during 1994-2020. Stratified analyses by co-pollutant exposures and synergy index (>1 denotes the combined effect of pollutants is greater than individual effects) were applied to explore the interaction between PM2.5 and O3 in association with mortality. RESULTS During the study period across the 372 cities, 19.3 million deaths were attributable to all causes, 5.3 million to cardiovascular disease, and 1.9 million to respiratory disease. The risk of total mortality for a 10 μg/m3 increment in PM2.5 (lag 0-1 days) ranged from 0.47% (95% confidence interval 0.26% to 0.67%) to 1.25% (1.02% to 1.48%) from the lowest to highest fourths of O3 concentration; and for a 10 μg/m3 increase in O3 ranged from 0.04% (-0.09% to 0.16%) to 0.29% (0.18% to 0.39%) from the lowest to highest fourths of PM2.5 concentration, with significant differences between strata (P for interaction <0.001). A significant synergistic interaction was also identified between PM2.5 and O3 for total mortality, with a synergy index of 1.93 (95% confidence interval 1.47 to 3.34). Subgroup analyses showed that interactions between PM2.5 and O3 on all three mortality endpoints were more prominent in high latitude regions and during cold seasons. CONCLUSION The findings of this study suggest a synergistic effect of PM2.5 and O3 on total, cardiovascular, and respiratory mortality, indicating the benefit of coordinated control strategies for both pollutants.
Collapse
Affiliation(s)
- Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Francesco Sera
- Department of Statistics, Computer Science and Applications "G. Parenti," University of Florence, Florence, Italy
| | - Ana Maria Vicedo-Cabrera
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Shilu Tong
- National Institute of Environmental Health, Chinese Centre for Disease Control and Prevention, Beijing, China
- School of Public Health and Institute of Environment and Human Health, Anhui Medical University, Hefei, China
- Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia
| | - Eric Lavigne
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada
| | | | | | - Souzana Achilleos
- Department of Primary Care and Population Health, University of Nicosia Medical School, Nicosia, Cyprus
| | - Dominic Roye
- Climate Research Foundation, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Jouni Jk Jaakkola
- Centre for Environmental and Respiratory Health Research (CERH), University of Oulu, Oulu, Finland
- Medical Research Centre Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Niilo Ryti
- Centre for Environmental and Respiratory Health Research (CERH), University of Oulu, Oulu, Finland
- Medical Research Centre Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Mathilde Pascal
- Santé Publique France, Department of Environmental and Occupational Health, French National Public Health Agency, Saint Maurice, France
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Centre for Environmental Health, Neuherberg, Germany
| | - Susanne Breitner
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Centre for Environmental Health, Neuherberg, Germany
- IBE-Chair of Epidemiology, LMU Munich, Munich, Germany
| | - Alireza Entezari
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar, Khorasan Razavi, Iran
| | - Fatemeh Mayvaneh
- Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar, Khorasan Razavi, Iran
| | - Raanan Raz
- Braun School of Public Health and Community Medicine, Hebrew University of Jerusalem, Israel
| | - Yasushi Honda
- Centre for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Japan
| | - Masahiro Hashizume
- Department of Global Health Policy, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Chris Fook Sheng Ng
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | - Vânia Gaio
- Department of Environmental Health, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisbon, Portugal
- NOVA National School of Public Health, Public Health Research Center, Universidade NOVA de Lisboa, Lisbon, Portugal
| | - Joana Madureira
- Department of Environmental Health, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisbon, Portugal
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal Porto, Portugal
| | | | - Aurelio Tobias
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
- Institute of Environmental Assessment and Water Research (IDAEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain
| | - Carmen Íñiguez
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Statistics and Computational Research, University of Valencia, Valencia, Spain
| | - Yue Leon Guo
- Environmental and Occupational Medicine, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei, Taiwan
- National Institute of Environmental Health Science, National Health Research Institutes, Zhunan, Taiwan
- Graduate Institute of Environmental and Occupational Health Sciences, National Taiwan University College of Public Health, Taipei, Taiwan
| | - Shih-Chun Pan
- National Institute of Environmental Health Science, National Health Research Institutes, Zhunan, Taiwan
| | - Pierre Masselot
- Department of Public Health Environments and Society, London School of Hygiene and Tropical Medicine, London, UK
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Michelle L Bell
- School of the Environment, Yale University, New Haven, CT, USA
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Antonio Gasparrini
- Department of Public Health Environments and Society, London School of Hygiene and Tropical Medicine, London, UK
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK
- Centre for Statistical Methodology, London School of Hygiene and Tropical Medicine, London, UK
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
- Children's Hospital of Fudan University, National Centre for Children's Health, Shanghai, China
| |
Collapse
|
15
|
Wang W, Mu S, Yan W, Ke N, Cheng H, Ding R. Prenatal PM2.5 exposure increases the risk of adverse pregnancy outcomes: evidence from meta-analysis of cohort studies. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:106145-106197. [PMID: 37723397 DOI: 10.1007/s11356-023-29700-5] [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: 04/21/2023] [Accepted: 08/31/2023] [Indexed: 09/20/2023]
Abstract
Adverse pregnancy outcomes (APOs) are a significant cause of fetal death. A wide range of maternal psychological, social, and environmental factors may contribute to these outcomes. Mounting epidemiological studies have indicated that PM2.5 may result in these unfavorable consequences. Previously published meta-analyses have been updated and extended. Cohort studies were searched from three databases (up to July 24, 2023), and their quality was assessed by Newcastle-Ottawa Scale (NOS). Publication bias was examined by Egger's test and funnel plot. Despite a large number of studies showing similar results, the inconsistencies between these findings require careful generalization before concluding. This meta-analysis included 67 cohort studies from 20 countries, and the findings revealed that maternal PM2.5 exposure and five APOs were correlated significantly throughout pregnancy: preterm birth (PTB) (RR = 1.05; 95% CI: 1.03, 1.07); low birth weight (LBW) (RR = 1.02; 95% CI: 1.01, 1.04); small for gestational age (SGA) (RR = 1.03; 95% CI: 1.01, 1.04); stillbirth (RR = 1.24; 95% CI: 1.06, 1.45); and change in birthweight (weight change = -6.82 g; 95% CI: -11.39, -2.25). A positive association was found between APOs and PM2.5 exposure in this meta-analysis, and the degree of increased risk of APOs varied due to different gestation periods. Therefore, it is necessary to protect pregnant women at specific times.
Collapse
Affiliation(s)
- Wanrong Wang
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, People's Republic of China
| | - Siqi Mu
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Weizhen Yan
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Naiyu Ke
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Han Cheng
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Rui Ding
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
| |
Collapse
|
16
|
Yuan Y, Zhou P, Peng M, Zhu L, Li Y, Wang K, Wang Y, Tang Z, Wang Y, Huang Y, Zhang J, Zhang Y. Residential greenness mitigates mortality risk from short-term airborne particulate exposure: An individual-level case-crossover study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 264:115451. [PMID: 37703807 DOI: 10.1016/j.ecoenv.2023.115451] [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: 06/09/2023] [Revised: 08/26/2023] [Accepted: 09/04/2023] [Indexed: 09/15/2023]
Abstract
BACKGROUND Studies suggested that greenness could reduce death risks related to ambient exposure to particulate matter (PM), while the available evidence was mixed across the globe and substantially exiguous in low- and middle-income countries. By conceiving an individual-level case-crossover study in central China, this analysis primarily aimed to quantify PM-mortality associations and examined the modification effect of greenness on the relationship. METHODS We investigated a total of 177,058 nonaccidental death cases from 12 counties in central China, 2008-2012. Daily residential exposures to PM2.5 (aerodynamic diameter <2.5 µm), PMc (aerodynamic diameter between 2.5 and 10 µm), and PM10 (aerodynamic diameter <10 µm) were assessed at a 1 × 1-km resolution through satellite-derived machine-learning models. Residential surrounding greenness was assessed using satellite-derived enhanced vegetation index (EVI) and normalized difference vegetation index (NDVI) at multiple buffer sizes (250, 500, and 1000 m). To quantify the acute mortality risks associated with short-term exposure to PM2.5, PMc, and PM10, a time-stratified case-crossover design was utilized in conjunction with a conditional logistic regression model in our main analyses. To investigate the effect modification of greenness on PM-mortality associations, we grouped death cases into low, medium, and high greenness levels using cutoffs of 25th and 75th percentiles of NDVI or EVI exposure, and examined potential effect heterogeneity in PM-related mortality risks among these groups. RESULTS Mean concentrations (standard deviation) on the day of death were 73.8 (33.4) μg/m3 for PM2.5, 43.9 (17.3) μg/m3 for PMc, and 117.5 (44.9) μg/m3 for PM10. Size-fractional PM exposures were consistently exhibited significant associations with elevated risks of nonaccidental and circulatory mortality. For every increase of 10-μg/m3 in PM exposure, percent excess risks of nonaccidental and circulatory mortality were 0.271 (95% confidence interval [CI]: 0.010, 0.533) and 0.487 (95% CI: 0.125, 0.851) for PM2.5 at lag-01 day, 0.731 (95% CI: 0.108, 1.359) and 1.140 (95% CI: 0.267, 2.019) for PMc at lag-02 day, and 0.271 (95% CI: 0.010, 0.533) and 0.386 (95% CI: 0.111, 0.662) for PM10 at lag-01 day, respectively. Compared to participants in the low-level greenness areas, those being exposed to higher greenness were found to be at lower PM-associated risks of nonaccidental and circulatory mortality. Consistent evidence for alleviated risks in medium or high greenness group was observed in subpopulations of female and younger groups (age <75). CONCLUSIONS Short-term exposure to particulate air pollution was associated with elevated risks of nonaccidental and circulatory death, and individuals residing in higher neighborhood greenness possessed lower risk of PM-related mortality. These findings emphasized the potential public health advantages through incorporating green spaces into urban design and planning.
Collapse
Affiliation(s)
- Yang Yuan
- 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
| | - Peixuan Zhou
- 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
| | - Minjin Peng
- Department of Infection Control, Affiliated Taihe Hospital of Hubei University of Medicine, Shiyan 442000, China.
| | - 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
| | - 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
| | - Kai Wang
- 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
| | - Yaqi Wang
- 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
| | - Ziqing Tang
- 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
| | - Yixiang Wang
- 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
| | - Yuqian Huang
- 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
| | - Jingjing 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
| | - 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.
| |
Collapse
|
17
|
Li X, Li Y, Yu B, Nima Q, Meng H, Shen M, Zhou Z, Liu S, Tian Y, Xing X, Yin L. Urban-rural differences in the association between long-term exposure to ambient particulate matter (PM) and malnutrition status among children under five years old: A cross-sectional study in China. J Glob Health 2023; 13:04112. [PMID: 37736866 PMCID: PMC10515095 DOI: 10.7189/jogh.13.04112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/23/2023] Open
Abstract
Background The evidence regarding the relationship between postnatal exposure of air pollution and child malnutrition indicators, as well as the corresponding urban-rural disparities, is limited, especially in low-pollution area of low- and middle-income countries (LMICs). Therefore, our aim was to contrast the effect estimates of varying ambient particulate matter (PM) on malnutrition indicators between urban and rural areas in Tibet, China. Methods Six malnutrition indicators were evaluated in this study, namely, Z-scores of height for age (HFA), Z-scores of weight for age (WFA), Z-scores of weight for height (WFH), stunting, underweight, and wasting. Exposure to particles with an aerodynamic diameter ≤2.5 micron (μm) (PM2.5), particles with an aerodynamic diameter ≤10 μm (PM10) and particles with an aerodynamic diameter between 2.5 and 10 μm (PMc) was estimated using satellite-based random forest models. Linear regression and logistic regression models were used to assess the associations between PM and the above malnutrition indicators. Furthermore, the effect estimates of different PM were contrasted between urban and rural areas. Results A total of 2511 children under five years old were included in this study. We found long-term exposure to PM2.5, PMc, and PM10 was associated with an increased risk of stunting and a decreased risk of underweight. Of these air pollutants, PMc had the strongest association for Z-scores of HFA and stunting, while PM2.5 had the strongest association for underweight. The results showed that the odds ratio (OR) for stunting were 1.36 (95% confidence interval (CI) = 1.06 to 1.75) per interquartile range (IQR) microgrammes per cubic metre (μg/m3) increase in PM2.5, 1.80 (95% CI = 1.30 to 2.50) per IQR μg/m3 increase in PMc and 1.55 (95% CI = 1.17 to 2.05) per IQR μg/m3 increase in PM10. The concentrations of PM were higher in urban areas, and the effects of PM on malnutrition indicators among urban children were higher than those of rural children. Conclusions Our results suggested that PM exposure might be an important trigger of child malnutrition. Further prospective researches are needed to provide important scientific literature for understanding child malnutrition risk concerning postnatal exposure of air pollutants and formulating synthetically social and environmental policies for malnutrition prevention.
Collapse
Affiliation(s)
- Xianzhi Li
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
| | - Yajie Li
- Tibet Center for Disease Control and Prevention, Lhasa, Tibet Autonomous Region, China
| | - Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University - Hong Kong Polytechnic University, Chengdu, Sichuan Province, China
| | - Qucuo Nima
- Tibet Center for Disease Control and Prevention, Lhasa, Tibet Autonomous Region, China
| | - Haorong Meng
- Yunnan Center for Disease Control and Prevention, Kunming, Yunnan Province, China
| | - Meiying Shen
- Nursing department, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
| | - Zonglei Zhou
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Shunjin Liu
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
| | - Yunyun Tian
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
| | - Xiangyi Xing
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
- Department of Pharmacy, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
| | - Li Yin
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
| |
Collapse
|
18
|
Marín-Palma D, Fernandez GJ, Ruiz-Saenz J, Taborda NA, Rugeles MT, Hernandez JC. Particulate matter impairs immune system function by up-regulating inflammatory pathways and decreasing pathogen response gene expression. Sci Rep 2023; 13:12773. [PMID: 37550362 PMCID: PMC10406897 DOI: 10.1038/s41598-023-39921-w] [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: 02/28/2023] [Accepted: 08/02/2023] [Indexed: 08/09/2023] Open
Abstract
Airborne particulate matter produced by industrial sources and automobiles has been linked to increased susceptibility to infectious diseases and it is known to be recognized by cells of the immune system. The molecular mechanisms and changes in gene expression profiles induced in immune cells by PM have not been fully mapped out or systematically integrated. Here, we use RNA-seq to analyze mRNA profiles of human peripheral blood mononuclear cells after exposure to coarse particulate matter (PM10). Our analyses showed that PM10 was able to reprogram the expression of 1,196 genes in immune cells, including activation of a proinflammatory state with an increase in cytokines and chemokines. Activation of the IL-36 signaling pathway and upregulation of chemokines involved in neutrophil and monocyte recruitment suggest mechanisms for inflammation upon PM exposure, while NK cell-recruiting chemokines are repressed. PM exposure also increases transcription factors associated with inflammatory pathways (e.g., JUN, RELB, NFKB2, etc.) and reduces expression of RNases and pathogen response genes CAMP, DEFAs, AZU1, APOBEC3A and LYZ. Our analysis across gene regulatory and signaling pathways suggests that PM plays a role in the dysregulation of immune cell functions, relevant for antiviral responses and general host defense against pathogens.
Collapse
Affiliation(s)
- Damariz Marín-Palma
- Infettare, Facultad de Medicina, Universidad Cooperativa de Colombia, Medellín, Colombia
- Grupo Inmunovirología, Facultad de Medicina, Universidad de Antioquia UdeA, Medellín, Colombia
| | - Geysson Javier Fernandez
- Grupo Biología y Control de Enfermedades Infecciosas BCEI, Universidad de Antioquia-UdeA, Medellín, Colombia
| | - Julian Ruiz-Saenz
- Grupo de Investigación en Ciencias Animales GRICA, Universidad Cooperativa de Colombia, Bucaramanga, Colombia
| | - Natalia A Taborda
- Grupo de Investigaciones Biomédicas Uniremington, Programa de Medicina, Facultad de Ciencias de La Salud, Corporación Universitaria Remington, Medellín, Colombia
- Universidad Cooperativa de Colombia, Campus Medellín-Envigado, Medellín, Colombia
| | - Maria T Rugeles
- Grupo Inmunovirología, Facultad de Medicina, Universidad de Antioquia UdeA, Medellín, Colombia
| | - Juan C Hernandez
- Infettare, Facultad de Medicina, Universidad Cooperativa de Colombia, Medellín, Colombia.
| |
Collapse
|
19
|
Liu C, Liu C, Zhang P, Tian M, Zhao K, He F, Dong Y, Liu H, Peng W, Jia X, Yu Y. Association of greenness with the disease burden of lower respiratory infections and mediation effects of air pollution and heat: a global ecological study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:91971-91983. [PMID: 37481494 DOI: 10.1007/s11356-023-28816-y] [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: 04/25/2023] [Accepted: 07/12/2023] [Indexed: 07/24/2023]
Abstract
Exposure to greenness is increasingly linked to beneficial health outcomes, but the associations between greenness and the disease burden of lower respiratory infections (LRIs) are unclear. We used the normalized difference vegetation index (NDVI) and the leaf area index (LAI) to measure greenness and incidence, death, and disability-adjusted life years (DALYs) due to LRIs to represent the disease burden of LRIs. We applied a generalized linear mixed model to evaluate the association between greenness and LRI disease burden and performed a stratified analysis, after adjusting for covariates. Additionally, we assessed the potential mediating effects of fine particulate matter (PM2.5), ozone (O3), nitrogen dioxide (NO2), and heat on the association between greenness and the disease burden of LRIs. In the adjusted model, one 0.1 unit increase of NDVI and 0.5 increase in LAI were significantly inversely associated with incidence, death, and DALYs due to LRIs, respectively. Greenness was negatively correlated with the disease burden of LRIs across 15-65 age group, both sexes, and low SDI groups. PM2.5, O3, and heat mediated the effects of greenness on the disease burden of LRIs. Greenness was significantly negatively associated with the disease burden of LRIs, possibly by reducing exposure to air pollution and heat.
Collapse
Affiliation(s)
- Chengrong Liu
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
| | - Chao Liu
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
| | - Peiyao Zhang
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
| | - Meihui Tian
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
| | - Ke Zhao
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
| | - Fenfen He
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
| | - Yilin Dong
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
| | - Haoyu Liu
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
| | - Wenjia Peng
- School of Public Health, Fudan University, Shanghai, China
| | - Xianjie Jia
- Department of Epidemiology and Statistics, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Ying Yu
- Department of Physiology, Bengbu Medical College, 2600 Dong Hai Avenue, Bengbu, 233030, China.
| |
Collapse
|
20
|
Park J, Kang C, Min J, Kim E, Song I, Jang H, Kwon D, Oh J, Moon J, Kim H, Lee W. Association of long-term exposure to air pollution with chronic sleep deprivation in South Korea: A community-level longitudinal study, 2008-2018. ENVIRONMENTAL RESEARCH 2023; 228:115812. [PMID: 37030407 DOI: 10.1016/j.envres.2023.115812] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/19/2023] [Accepted: 03/29/2023] [Indexed: 05/16/2023]
Abstract
BACKGROUND AND OBJECTIVE Although there are many findings about the effects of fine particulate matter (PM2.5) and sleep deprivation on health respectively, the association between PM2.5 and chronic sleep deprivation has rarely been investigated. Thus, we aimed to investigate this association using a nationwide survey in South Korea. METHOD We examined the association between long-term exposure to PM2.5 and chronic sleep deprivation using a national cross-sectional health survey covering the entire 226 districts in inland South Korea from 2008 to 2018, with a machine learning-based national air pollution prediction model with 1 km2 spatial resolution. RESULTS Chronic sleep deprivation was positively associated with PM2.5 in the total population (odds ratio (OR): 1.09, 95% confidence interval (CI): 1.05-1.13) and sub-population (low, middle, high population density areas with OR: 1.127, 1.09, and 1.059, respectively). The association was consistently observed in both sexes (males with OR: 1.09, females with OR: 1.09)) and was more pronounced in the elderly population (OR: 1.12) than in the middle-aged (OR: 1.07) and young (OR: 1.09) populations. CONCLUSIONS Our results are consistent with the hypothesis regarding the relationship between long-term PM2.5 exposure and chronic sleep deprivation, and the study provides quantitative evidence for public health interventions to improve air quality that can affect chronic sleep conditions.
Collapse
Affiliation(s)
- Jinah Park
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
| | - Cinoo Kang
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
| | - Jieun Min
- Department of Environmental Medicine, College of Medicine, Ewha Womans University, 25 Magokdong-ro 2-gil, Ganseo-gu, Seoul, 07804, Republic of Korea.
| | - Ejin Kim
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
| | - Insung Song
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
| | - Hyemin Jang
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
| | - Dohoon Kwon
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
| | - Jieun Oh
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
| | - Jeongmin Moon
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
| | - Ho Kim
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
| | - Whanhee Lee
- Data Science, School of Biomedical Convergence Engineering, College of Information and Biomedical Engineering, Pusan National University, 49 Busandaehak-ro, Mulgeum-eup, Yangsan-si, Gyeongsangnam-do, 50612, South Korea.
| |
Collapse
|
21
|
Pan C, Xu C, Zheng J, Song R, Lv C, Zhang G, Tan H, Ma Y, Zhu Y, Han X, Li C, Yan S, Zheng W, Wang C, Zhang J, Bian Y, Ma J, Cheng K, Liu R, Hou Y, Chen Q, Zhao X, McNally B, Chen R, Kan H, Meng X, Chen Y, Xu F. Fine and coarse particulate air pollution and out-of-hospital cardiac arrest onset: a nationwide case-crossover study in China. JOURNAL OF HAZARDOUS MATERIALS 2023; 457:131829. [PMID: 37320898 DOI: 10.1016/j.jhazmat.2023.131829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 06/06/2023] [Accepted: 06/08/2023] [Indexed: 06/17/2023]
Abstract
Out-of-hospital cardiac arrest (OHCA) is a global public health concern. Nationwide studies on the effects of short-term exposure to particulate matter (PM) on OHCA risk are rare in regions with high PM levels, and evidence for coarse PM (PM2.5-10) is limited and inconsistent. To evaluate the associations between fine PM (PM2.5) and PM2.5-10 and OHCA onset, a time-stratified case-crossover study was conducted on 77,261 patients with cardiac OHCA in 26 cities across China in 2020. Daily PM2.5 and PM2.5-10 concentrations were assessed with high-resolution and full-coverage PM estimations. Conditional logistic regression models were applied in analyses. Each interquartile range of PM increase in 3-day moving average was associated with an increased risk of cardiac OHCA onset of 2.37% (95% CI, 1.20-3.56%) for PM2.5 and 2.12% (95% CI, 0.70-3.56%) for PM2.5-10. Stratified analyses showed higher susceptibility in patients over 75 years for PM2.5 exposure and with diabetes for PM2.5-10. This first nationwide study in region with high PM levels and great PM variability found not only PM2.5 but also PM2.5-10 were associated with a higher risk of OHCA onset, which could add powerful epidemiological evidence to this field and provide new evidence for the formulation of air quality guidelines.
Collapse
Affiliation(s)
- Chang Pan
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Chang Xu
- School of Public Health, Fudan University, Shanghai, China
| | - Jiaqi Zheng
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Ruixue Song
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Chuanzhu Lv
- Emergency Medicine Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Guoqiang Zhang
- Department of Emergency Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Huiqiong Tan
- Emergency and Intensive Care Center, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Ma
- Department of Intensive Care Unit, Chongqing University Central Hospital, Chongqing Key Laboratory of Emergency Medicine, Chongqing Emergency Medical Center, Chongqing, China
| | - Yimin Zhu
- Department of Emergency Medicine, Hunan Provincial Institute of Emergency Medicine, Hunan Provincial Key Laboratory of Emergency and Critical Care Metabonomics, Hunan Provincial People's Hospital/The First Affiliated Hospital, Hunan Normal University, Changsha, Hunan, China
| | - Xiaotong Han
- Department of Emergency Medicine, Hunan Provincial Institute of Emergency Medicine, Hunan Provincial Key Laboratory of Emergency and Critical Care Metabonomics, Hunan Provincial People's Hospital/The First Affiliated Hospital, Hunan Normal University, Changsha, Hunan, China
| | - Chaoqian Li
- Department of Emergency, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Shengtao Yan
- Department of Emergency Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Wen Zheng
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Chunyi Wang
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Jianbo Zhang
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Yuan Bian
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Jingjing Ma
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Kai Cheng
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Rugang Liu
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Yaping Hou
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Qiran Chen
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Xiangkai Zhao
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Bryan McNally
- Emory University School of Medicine, Atlanta, GA, USA
| | - Renjie Chen
- School of Public Health, Fudan University, Shanghai, China
| | - Haidong Kan
- School of Public Health, Fudan University, Shanghai, China
| | - Xia Meng
- School of Public Health, Fudan University, Shanghai, China.
| | - Yuguo Chen
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China.
| | - Feng Xu
- Department of Emergency Medicine, Chest Pain Center, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shandong University, Key Laboratory of Emergency and Critical Care Medicine of Shandong Province, Key Laboratory of Cardiopulmonary-Cerebral Resuscitation Research of Shandong Province, NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China.
| |
Collapse
|
22
|
Lei J, Chen R, Liu C, Zhu Y, Xue X, Jiang Y, Shi S, Gao Y, Kan H, Xuan J. Fine and coarse particulate air pollution and hospital admissions for a wide range of respiratory diseases: a nationwide case-crossover study. Int J Epidemiol 2023; 52:715-726. [PMID: 37159523 DOI: 10.1093/ije/dyad056] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 04/20/2023] [Indexed: 05/11/2023] Open
Abstract
BACKGROUND The associations between fine and coarse particulate matter (PM2.5 and PM2.5-10) air pollution and hospital admissions for full-spectrum respiratory diseases were rarely investigated, especially for age-specific associations. We aim to estimate the age-specific associations of short-term exposures to PM2.5 and PM2.5-10 with hospital admissions for full-spectrum respiratory diseases in China. METHODS We conducted an individual-level case-crossover study based on a nationwide hospital-based registry including 153 hospitals across 20 provincial regions in China in 2013-20. We applied conditional logistic regression models and distributed lag models to estimate the exposure- and lag-response associations. RESULTS A total of 1 399 955 hospital admission records for various respiratory diseases were identified. The associations of PM2.5 and PM2.5-10 with total respiratory hospitalizations lasted for 4 days, and an interquartile range increase in PM2.5 (34.5 μg/m3) and PM2.5-10 (26.0 μg/m3) was associated with 1.73% [95% confidence interval (95% CI): 1.34%, 2.12%)] and 1.70% (95% CI: 1.31%, 2.10%) increases, respectively, in total respiratory hospitalizations over lag 0-4 days. Acute respiratory infections (i.e. pneumonia, bronchitis and bronchiolitis) were consistently associated with PM2.5 or PM2.5-10 exposure across different age groups. We found the disease spectrum varied by age, including rarely reported findings (i.e. acute laryngitis and tracheitis, and influenza) among children and well-established associations (i.e. chronic obstructive pulmonary disease, asthma, acute bronchitis and emphysema) among older populations. Besides, the associations were stronger in females, children and older populations. CONCLUSIONS This nationwide case-crossover study provides robust evidence that short-term exposure to both PM2.5 and PM2.5-10 was associated with increased hospital admissions for a wide range of respiratory diseases, and the spectra of respiratory diseases varied by age. Females, children and older populations were more susceptible.
Collapse
Affiliation(s)
- Jian Lei
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Renjie Chen
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Cong Liu
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Yixiang Zhu
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Xiaowei Xue
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Yixuan Jiang
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Su Shi
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Ya Gao
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
- National Center for Children's Health, Children's Hospital of Fudan University, Shanghai, China
| | - Jianwei Xuan
- Health Economic Research Institute, School of Pharmacy, Sun Yat-Shen University, Guangzhou, China
| |
Collapse
|
23
|
Li Z, Lv S, Lu F, Guo M, Wu Z, Liu Y, Li W, Liu M, Yu S, Jiang Y, Gao B, Wang X, Li X, Wang W, Liu X, Guo X. Causal Associations of Air Pollution With Cardiovascular Disease and Respiratory Diseases Among Elder Diabetic Patients. GEOHEALTH 2023; 7:e2022GH000730. [PMID: 37351309 PMCID: PMC10282596 DOI: 10.1029/2022gh000730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 05/05/2023] [Accepted: 05/08/2023] [Indexed: 06/24/2023]
Abstract
Extensive researches have linked air pollutants with cardiovascular disease (CVD) and respiratory diseases (RD), however, there is limited evidence on causal effects of air pollutants on morbidity of CVD or RD with comorbidities, particularly diabetes mellitus in elder patients. We included hospital admissions for CVD or RD among elder (≥65 years) diabetic patients between 2014 and 2019 in Beijing. A time-stratified case-crossover design based on negative-control exposure was used to assess causal associations of short-term exposure to air pollutants with CVD and RD among diabetic patients with the maximum lag of 7 days. A random forest regression model was used to calculate the contribution magnitude of air pollutants. A total of 493,046 hospital admissions were recorded. Per 10 μg/m3 uptick in PM1, PM2.5, PM10, SO2, NO2, O3, and 1 mg/m3 in CO was associated with 0.29 (0.05, 0.53), 0.14 (0.02, 0.26), 0.06 (0.00, 0.12), 0.36 (0.01, 0.70), 0.21 (0.02, 0.40), -0.08 (-0.25, 0.09), and 4.59 (0.56, 8.61) causal effect estimator for admission of CVD among diabetic patients, corresponding to 0.12 (0.05, 0.18), 0.09 (0.05, 0.13), 0.05, 0.23 (0.06, 0.41), 0.10 (0.02, 0.19), -0.04 (-0.06, -0.01), and 3.91(1.81, 6.01) causal effect estimator for RD among diabetic patients. The effect of gaseous pollutants was higher than particulate pollutants in random forest model. Short-term exposure to air pollution was causally associated with increased admission of CVD and RD among elder diabetic patients. Gaseous pollutants had a greater contribution to CVD and RD among elder diabetic patients.
Collapse
Affiliation(s)
- Zhiwei Li
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Shiyun Lv
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Feng Lu
- Beijing Municipal Health Commission Information CenterBeijingChina
| | - Moning Guo
- Beijing Municipal Health Commission Information CenterBeijingChina
| | - Zhiyuan Wu
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Yue Liu
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Weiming Li
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Mengmeng Liu
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Siqi Yu
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Yanshuang Jiang
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
| | - Bo Gao
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Xiaonan Wang
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Xia Li
- Department of Mathematics and StatisticsLa Trobe UniversityMelbourneAustralia
| | - Wei Wang
- School of Medical Sciences and HealthEdith Cowan UniversityPerthAustralia
| | - Xiangtong Liu
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Xiuhua Guo
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
- School of Medical Sciences and HealthEdith Cowan UniversityPerthAustralia
- National Institute for Data Science in Health and MedicineCapital Medical UniversityBeijingChina
| |
Collapse
|
24
|
Macchi C, Sirtori CR, Corsini A, Mannuccio Mannucci P, Ruscica M. Pollution from fine particulate matter and atherosclerosis: A narrative review. ENVIRONMENT INTERNATIONAL 2023; 175:107923. [PMID: 37119653 DOI: 10.1016/j.envint.2023.107923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/27/2023] [Accepted: 04/05/2023] [Indexed: 05/22/2023]
Abstract
According to the WHO, the entire global population is exposed to air pollution levels higher than recommended for health preservation. Air pollution is a complex mixture of nano- to micro-sized particles and gaseous components that poses a major global threat to public health. Among the most important air pollutants, causal associations have been established between particulate matter (PM), mainly < 2.5 μm, and cardiovascular diseases (CVD), i.e., hypertension, coronary artery disease, ischemic stroke, congestive heart failure, arrhythmias as well as total cardiovascular mortality. Aim of this narrative review is to describe and critically discuss the proatherogenic effects of PM2.5 that have been attributed to many direct or indirect effects comprising endothelial dysfunction, a chronic low-grade inflammatory state, increased production of reactive oxygen species, mitochondrial dysfunction and activation of metalloproteases, all leading to unstable arterial plaques. Higher concentrations of air pollutants are associated with the presence of vulnerable plaques and plaque ruptures witnessing coronary artery instability. Air pollution is often disregarded as a CVD risk factor, in spite of the fact that it is one of the main modifiable factors relevant for prevention and management of CVD. Thus, not only structural actions should be taken in order to mitigate emissions, but health professionals should also take care to counsel patients on the risks of air pollution.
Collapse
Affiliation(s)
- Chiara Macchi
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan, Italy
| | - Cesare R Sirtori
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan, Italy
| | - Alberto Corsini
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan, Italy
| | - Pier Mannuccio Mannucci
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Angelo Bianchi Bonomi Hemophilia and Thrombosis Center, Milan, Italy
| | - Massimiliano Ruscica
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan, Italy; Department of Cardio-Thoracic-Vascular Diseases - Foundation IRCCS Cà Granda Ospedale Maggiore Policlinico, Italy.
| |
Collapse
|
25
|
Wang S, Wang P, Zhang R, Meng X, Kan H, Zhang H. Estimating particulate matter concentrations and meteorological contributions in China during 2000-2020. CHEMOSPHERE 2023; 330:138742. [PMID: 37084902 DOI: 10.1016/j.chemosphere.2023.138742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 04/12/2023] [Accepted: 04/19/2023] [Indexed: 05/03/2023]
Abstract
Estimating the effects of airborne particulate matter (PM) on climate and human health is highly dependent on the accurate prediction of its concentration and size distribution. High-complexity machine learning models have been widely used for PM concentration prediction, but such models are often considered as "black boxes", lacking interpretability. Here, a simple structure lightGBM model is built for ground PM estimation, and the SHAP approach is used to separate the meteorological contributions due to its strong influence on PM concentration. The models show good performance with correlation coefficient (R2) of 0.84-0.88, 0.80-0.85, and 0.71-0.79, for PM2.5, PM10, and PM2.5-10 (2.5-10 μm), respectively. The lightGBM model trains 45 times faster than the XGBoost model while showing similar accuracy. More importantly, the models have small performance gaps between training and predicting (delta R2: 0.07-0.12), effectively reducing overfitting risk. The PM datasets (10 km daily) of three size ranges are then generated over China from 2000 to 2020. The SHAP method shows good agreement with the meteorological normalization approach in separating the meteorological contributions (R2 > 0.5). In the Beijing-Tianjin-Hebei region (BTH), meteorology has greater influence on PM2.5-10 (-5.66%-9.99%) than PM2.5 and PM10. In the Yangtze River Delta (YRD), and the Pearl River Delta (PRD), albedo has a large contribution to PM2.5 concentration under the influence of solar radiation. Notably, relative humidity (RH) has different seasonal effects on PM of three size ranges. In the BTH region, RH has negative effects on PM2.5 (-0.52 μg/m3) and positive effects on PM10 (1.01 μg/m3) and PM2.5-10 (3.39 μg/m3) in spring, but has opposite effects in summer. The results of SHAP approach are consistent with existing conclusions and imply its feasibility in explaining haze formation. The generated PM datasets are useful in health assessment, environmental management, and climate change studies.
Collapse
Affiliation(s)
- Shuai Wang
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
| | - Peng Wang
- Department of Atmospheric and Oceanic Sciences and Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, China; IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Ruhan Zhang
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
| | - Xia Meng
- School of Public Health, Fudan University, Shanghai, 200032, China
| | - Haidong Kan
- School of Public Health, Fudan University, Shanghai, 200032, China
| | - Hongliang Zhang
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China; IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China; Institute of Eco-Chongming (IEC), Shanghai, 200062, China.
| |
Collapse
|
26
|
Ogino N, Ogino K, Eitoku M, Suganuma N, Nagaoka K. Filter blot method: A simple method for measuring 3-nitrotyrosine in proteins of atmospheric particulate matter. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 329:121677. [PMID: 37085106 DOI: 10.1016/j.envpol.2023.121677] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 04/02/2023] [Accepted: 04/18/2023] [Indexed: 05/03/2023]
Abstract
Air pollutants, such as nitrogen dioxide (NO2), ozone (O3), and particulate matter (PM), have been epidemiologically reported to contribute to the onset and exacerbation of asthma. We have previously shown that several proteins in atmospheric PM are allergenic in mouse asthma models and that these proteins are nitrated by atmospheric NO2 and O3 in chemical reactions. Based on these results, the amount of 3-nitrotyrosine (3-NT) in atmospheric PM could be an air pollution marker integrating NO2, O3, and PM. We established a method to measure 3-NT by high-performance liquid chromatography electrochemical detection (HPLC-ECD). Although this method is accurate, it requires a filter treatment process, which is time-consuming and costly for an environmental monitoring tool, in which many samples are measured simultaneously. Therefore, in this study, we investigated a simple immunoblotting method in which atmospheric PM proteins were directly transferred to a polyvinylidene fluoride (PVDF) membrane and measured using an anti-3-NT antibody (the filter blot method). The 3-NT value obtained from this method was significantly correlated (r = 0.809, p < 0.001) with that of the HPLC-ECD method, with a detection power of 0.1 μg/mL for tyrosine nitrated bovine serum albumin equivalents. Multiple regression analysis using the filter blot method showed that the amount of 3-NT in atmospheric PM was significantly associated with the published environmental measurements of O3 and PM in the region. Therefore, the filter blot method may be useful for the environmental monitoring of 3-NT in atmospheric PM.
Collapse
Affiliation(s)
- Noriyoshi Ogino
- Department of Environmental Medicine, Faculty of Medicine, Kochi University, Kohasu, Oko-cho, Nangoku, Japan
| | - Keiki Ogino
- Department of Environmental Medicine, Faculty of Medicine, Kochi University, Kohasu, Oko-cho, Nangoku, Japan
| | - Masamitsu Eitoku
- Department of Environmental Medicine, Faculty of Medicine, Kochi University, Kohasu, Oko-cho, Nangoku, Japan
| | - Narufumi Suganuma
- Department of Environmental Medicine, Faculty of Medicine, Kochi University, Kohasu, Oko-cho, Nangoku, Japan
| | - Kenjiro Nagaoka
- Laboratory of Hygienic Chemistry, College of Pharmaceutical Sciences, Matsuyama University, Matsuyama, 790-8578, Ehime, Japan.
| |
Collapse
|
27
|
Ji Y, Su X, Zhang F, Huang Z, Zhang X, Chen Y, Song Z, Li L. Impacts of short-term air pollution exposure on appendicitis admissions: Evidence from one of the most polluted cities in mainland China. Front Public Health 2023; 11:1144310. [PMID: 37006531 PMCID: PMC10061118 DOI: 10.3389/fpubh.2023.1144310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 02/23/2023] [Indexed: 03/18/2023] Open
Abstract
BackgroundEmerging evidence indicates that air pollutants contribute to the development and progression of gastrointestinal diseases. However, there is scarce evidence of an association with appendicitis in mainland China.MethodsIn this study, Linfen city, one of the most polluted cities in mainland China, was selected as the study site to explore whether air pollutants could affect appendicitis admissions and to identify susceptible populations. Daily data on appendicitis admissions and three principal air pollutants, including inhalable particulate matter (PM10), nitrogen dioxide (NO2), and sulfur dioxide (SO2) were collected in Linfen, China. The impacts of air pollutants on appendicitis were studied by using a generalized additive model (GAM) combined with the quasi-Poisson function. Stratified analyses were also performed by sex, age, and season.ResultsWe observed a positive association between air pollution and appendicitis admissions. For a 10 μg/m3 increase in pollutants at lag01, the corresponding relative risks (RRs) and 95% confidence intervals (95% CIs) were 1.0179 (1.0129–1.0230) for PM10, 1.0236 (1.0184–1.0288) for SO2, and 1.0979 (1.0704–1.1262) for NO2. Males and people aged 21–39 years were more susceptible to air pollutants. Regarding seasons, the effects seemed to be stronger during the cold season, but there was no statistically significant difference between the seasonal groups.ConclusionsOur findings indicated that short-term air pollution exposure was significantly correlated with appendicitis admissions, and active air pollution interventions should be implemented to reduce appendicitis hospitalizations, especially for males and people aged 21–39 years.
Collapse
Affiliation(s)
- Yanhu Ji
- School of Public Health, Shantou University, Shantou, China
- Injury Prevention Research Center, Shantou University Medical College, Shantou, China
| | | | - Fengying Zhang
- China National Environmental Monitoring Center, Beijing, China
| | - Zepeng Huang
- The Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Xiaowei Zhang
- School of Public Health, Shantou University, Shantou, China
- Injury Prevention Research Center, Shantou University Medical College, Shantou, China
| | - Yueliang Chen
- School of Public Health, Shantou University, Shantou, China
- Injury Prevention Research Center, Shantou University Medical College, Shantou, China
| | - Ziyi Song
- School of Public Health, Shantou University, Shantou, China
- Injury Prevention Research Center, Shantou University Medical College, Shantou, China
| | - Liping Li
- School of Public Health, Shantou University, Shantou, China
- Injury Prevention Research Center, Shantou University Medical College, Shantou, China
- *Correspondence: Liping Li
| |
Collapse
|