1
|
Ren N, Huang H, Liu B, Wu C, Xiang J, Zhou Q, Kang S, Zhang X, Jiang Y. Interactive effects of atmospheric oxidising pollutants and heat waves on the risk of residential mortality. Glob Health Action 2024; 17:2313340. [PMID: 38381455 PMCID: PMC10883108 DOI: 10.1080/16549716.2024.2313340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 01/29/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND The impact of heat waves and atmospheric oxidising pollutants on residential mortality within the framework of global climate change has become increasingly important. OBJECTIVE In this research, the interactive effects of heat waves and oxidising pollutants on the risk of residential mortality in Fuzhou were examined. Methods We collected environmental, meteorological, and residential mortality data in Fuzhou from 1 January 2016, to 31 December 2021. We then applied a generalised additive model, distributed lagged nonlinear model, and bivariate three-dimensional model to investigate the effects and interactions of various atmospheric oxidising pollutants and heat waves on the risk of residential mortality. RESULTS Atmospheric oxidising pollutants increased the risk of residential mortality at lower concentrations, and O3 and Ox were positively associated with a maximum risk of 2.19% (95% CI: 0.74-3.66) and 1.29% (95% CI: 0.51-2.08). The risk of residential mortality increased with increasing temperature, with a strong and long-lasting effect and a maximum cumulative lagged effect of 1.11% (95% CI: 1.01, 1.23). Furthermore, an interaction between atmospheric oxidising pollutants and heat waves may have occurred: the larger effects in the longest cumulative lag time on residential mortality per 10 µg/m3 increase in O3, NO2 and Ox during heat waves compared to non-heat waves were [-3.81% (95% CI: -14.82, 8.63)]; [-0.45% (95% CI: -2.67, 1.81)]; [67.90% (95% CI: 11.55, 152.71)]; 16.37% (95% CI: 2.43, 32.20)]; [-3.00% (95% CI: -20.80, 18.79)]; [-0.30% (95% CI: -3.53, 3.04)]. The risk on heat wave days was significantly higher than that on non-heat wave days and higher than the separate effects of oxidising pollutants and heat waves. CONCLUSIONS Overall, we found some evidence suggesting that heat waves increase the impact of oxidising atmospheric pollutants on residential mortality to some extent.
Collapse
Affiliation(s)
- Nan Ren
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Huimin Huang
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Baoying Liu
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Chuancheng Wu
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Jianjun Xiang
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Quan Zhou
- Department of Public Health, Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Shuling Kang
- Department of Public Health, Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Xiaoyang Zhang
- Department of Public Health, Fuzhou Center for Disease Control and Prevention, Fuzhou, China
| | - Yu Jiang
- Department of Preventive Medicine, Fujian Provincial Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, China
| |
Collapse
|
2
|
Yu P, Xu R, Wu Y, Huang W, Coelho MSZS, Saldiva PHN, Ye T, Wen B, Liu Y, Yang Z, Li S, Abramson MJ, Guo Y. Cancer mortality risk from short-term PM 2.5 exposure and temporal variations in Brazil. JOURNAL OF HAZARDOUS MATERIALS 2024; 473:134606. [PMID: 38788590 DOI: 10.1016/j.jhazmat.2024.134606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 04/30/2024] [Accepted: 05/11/2024] [Indexed: 05/26/2024]
Abstract
Although some studies have found that short-term PM2.5 exposure is associated with lung cancer deaths, its impact on other cancer sites is unclear. To answer this research question, this time-stratified case-crossover study used individual cancer death data between January 1, 2000, and December 31, 2019, extracted from the Brazilian mortality information system to quantify the associations between short-term PM2.5 exposure and cancer mortality from 25 common cancer sites. Daily PM2.5 concentration was aggregated at the municipality level as the key exposure. The study included a total of 34,516,120 individual death records, with the national daily mean PM2.5 exposure 15.3 (SD 4.3) μg/m3. For every 10-μg/m3 increase in three-day average PM2.5 exposure, the odds ratio (OR) for all-cancer mortality was 1.04 (95% CI 1.03-1.04). Apart from all-cancer deaths, PM2.5 exposure may impact cancers of oesophagus (1.04, 1.00-1.08), stomach (1.05, 1.02-1.08), colon-rectum (1.04, 1.01-1.06), lung (1.04, 1.02-1.06), breast (1.03, 1.00-1.06), prostate (1.07, 1.04-1.10), and leukaemia (1.05, 1.01-1.09). During the study period, acute PM2.5 exposure contributed to an estimated 1,917,994 cancer deaths, ranging from 0 to 6,054 cases in each municipality. Though there has been a consistent downward trend in PM2.5-related all-cancer mortality risks from 2000 to 2019, the impact remains significant, indicating the continued importance of cancer patients avoiding PM2.5 exposure. This nationwide study revealed a notable association between acute PM2.5 exposure and heightened overall and site-specific cancer mortality for the first time to our best knowledge. The findings suggest the importance of considering strategies to minimize such exposure in cancer care guidelines. ENVIRONMENTAL IMPLICATION: The 20-year analysis of nationwide death records in Brazil revealed that heightened short-term exposure to PM2.5 is associated with increased cancer mortality at various sites, although this association has gradually decreased over time. Despite the declining impact, the research highlights the persistent adverse effects of PM2.5 on cancer mortality, emphasizing the importance of continued research and preventive measures to address the ongoing public health challenges posed by air pollution.
Collapse
Affiliation(s)
- Pei Yu
- Climate Air quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Rongbin Xu
- Climate Air quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yao Wu
- Climate Air quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Wenzhong Huang
- Climate Air quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Micheline S Z S Coelho
- Laboratory of Urban Health Insper/Faculty of Medicine of the University of São Paulo, Brazil
| | - Paulo H N Saldiva
- Laboratory of Urban Health Insper/Faculty of Medicine of the University of São Paulo, Brazil
| | - Tingting Ye
- Climate Air quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Bo Wen
- Climate Air quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yanming Liu
- Climate Air quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Zhengyu Yang
- Climate Air quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Shanshan Li
- Climate Air quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Michael J Abramson
- Climate Air quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yuming Guo
- Climate Air quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
| |
Collapse
|
3
|
Ma H, Wang T, Wang J, Wang P, Shu Q, Qin R, Li S, Xu H. Formaldehyde exacerbates inflammation and biases T helper cell lineage commitment through IFN-γ/STAT1/T-bet pathway in asthma. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 280:116534. [PMID: 38823345 DOI: 10.1016/j.ecoenv.2024.116534] [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: 07/11/2023] [Revised: 05/15/2024] [Accepted: 05/30/2024] [Indexed: 06/03/2024]
Abstract
The correlation between formaldehyde (FA) exposure and prevalence of asthma has been widely reported. However, the underlying mechanism is still not fully understood. FA exposure at 2.0 mg/m3 was found to exacerbate asthma in OVA-induced murine models. IFN-γ, the cytokine produced by T helper 1 (Th1) cells, was significantly induced by FA in serum and bronchoalveolar lavage fluid (BALF) of asthmatic mice, which was different from cytokines secreted by other Th cells. The observation was also confirmed by mRNA levels of Th marker genes in CD4+ T cells isolated from BALF. In addition, increased production of IFN-γ and expression of T-bet in Jurkat T cells primed with phorbol ester and phytohaemagglutinin were also observed with 100 μM FA treatment in vitro. Upregulated STAT1 phosphorylation, T-bet expression and IFN-γ production induced by FA was found to be restrained by STAT1 inhibitor fludarabine, indicating that FA promoted Th1 commitment through the autocrine IFN-γ/STAT1/T-bet pathway in asthma. This work not only revealed that FA could bias Th lineage commitment to exacerbate allergic asthma, but also identified the signaling mechanism of FA-induced Th1 differentiation, which may be utilized as the target for development of interfering strategies against FA-induced immune disorders.
Collapse
Affiliation(s)
- Huijuan Ma
- School of Public Health, Anhui University of Science and Technology, Hefei, Anhui Province 231131, China; Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China
| | - Tingqian Wang
- Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China
| | - Junfeng Wang
- School of Public Health, Anhui University of Science and Technology, Hefei, Anhui Province 231131, China
| | - Peiyao Wang
- Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China
| | - Qi Shu
- Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China
| | - Ruilin Qin
- Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China
| | - Sijia Li
- Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China
| | - Huan Xu
- School of Public Health, Anhui University of Science and Technology, Hefei, Anhui Province 231131, China; Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China.
| |
Collapse
|
4
|
El Haddad M, Zeghnoun A, Richard JB, Saoudi A, Pédrono G, Perrine AL, Motreff Y, Blanchard M, Morel P, Le Lay E, Golliot F, Empereur-Bissonnet P. Health-related quality of life 1 year after a large-scale industrial fire among exposed inhabitants of Rouen, France: 'The Post Fire 76 Health' study. Eur J Public Health 2024; 34:550-556. [PMID: 38507556 PMCID: PMC11161166 DOI: 10.1093/eurpub/ckae047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND A large-scale industrial fire occurred in Rouen, France, in 2019. This study assessed the health-related quality of life of people exposed to its consequences 1 year later. METHODS The study population comprised inhabitants of the exposed area and a non-exposed area. A representative sample was randomly selected using a stratified design. Data were collected using a standardized questionnaire to describe fire exposure and to calculate three health-related quality of life scores according to the SF12-v2 scale. After adjustment, descriptive and multivariate analyses were conducted. RESULTS The sample comprised 4773 participants (response rate 47.7%). In the exposed area, the average mental, physical and overall health scores were 47.5, 52.0 and 73.8 out of 100, respectively. Mean mental and overall health scores were higher in the non-exposed area (49.0 and 76.0, respectively). After adjustment, a lower mental health score was associated with a higher number of perceived types of exposure, reaching -3.72 points [-5.41; -2.04] for five or more different types of perceived exposure. A lower mental health score was associated with soot deposits (-1.04 [-1.70; -0.39]), perceiving odours [(-2.04 [-3.22; -0.86]) up to the day of data collection], and having seen, heard or been awakened by the fire (-1.21 [-1.90; -0.52]). A slightly lower physical health score was associated with soot deposits (-0.57 [-1.07; -0.08]). CONCLUSION This study highlighted associations between exposure to the consequences of the industrial fire in Rouen and a deterioration of perceived health-related quality of life 1 year later, particularly the mental health dimension.
Collapse
Affiliation(s)
- Maria El Haddad
- Data Science Division, French National Public Health Agency, Saint Maurice, France
| | - Abdelkrim Zeghnoun
- Data Science Division, French National Public Health Agency, Saint Maurice, France
| | | | - Abdessattar Saoudi
- Data Science Division, French National Public Health Agency, Saint Maurice, France
| | - Gaëlle Pédrono
- Data Science Division, French National Public Health Agency, Saint Maurice, France
| | - Anne-Laure Perrine
- Data Science Division, French National Public Health Agency, Saint Maurice, France
| | - Yvon Motreff
- Non-Communicable Diseases and Trauma Division, French National Public Health Agency, Saint Maurice, France
- Department of Social Epidemiology, Inserm, Sorbonne Université, Institut Pierre Louis d’Epidémiologie et de Santé Publique (IPLESP), Paris, France
| | - Myriam Blanchard
- Regional Division, French National Public Health Agency, Normandy, France
| | - Pauline Morel
- Regional Division, French National Public Health Agency, Normandy, France
| | - Emmanuelle Le Lay
- International Scientific Division, French National Public Health Agency, Saint Maurice, France
| | - Franck Golliot
- Regional Division, French National Public Health Agency, Saint Maurice, France
| | | |
Collapse
|
5
|
Li S, Huff RD, Rider CF, Yuen ACY, Carlsten C. Controlled human exposures to diesel exhaust or particle-depleted diesel exhaust with allergen modulates transcriptomic responses in the lung. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 945:173688. [PMID: 38851342 DOI: 10.1016/j.scitotenv.2024.173688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 05/13/2024] [Accepted: 05/30/2024] [Indexed: 06/10/2024]
Abstract
The evidence associating traffic-related air pollution (TRAP) with allergic asthma is growing, but the underlying mechanisms for this association remain unclear. The airway epithelium is the primary tissue exposed to TRAP, hence understanding its interactions with TRAP and allergen is important. Diesel exhaust (DE), a paradigm of TRAP, consists of particulate matter (PM) and gases. Modern diesel engines often have catalytic diesel particulate filters to reduce PM output, but these may increase gaseous concentrations, and their benefits on human health cannot be assumed. We conducted a randomized, double-blinded, crossover study using our unique in vivo human exposure system to investigate the effects of DE and allergen co-exposure, with or without particle depletion as a proxy for catalytic diesel particulate filters, on the airway epithelial transcriptome. Participants were exposed for 2 h before an allergen inhalation challenge, with each receiving filtered air and saline (FA-S), filtered air and allergen (FA-A), DE and allergen (DE-A), or particle-depleted DE and allergen (PDDE-A), over four different occasions, each separated by a 4-week washout period. Endobronchial brushings were collected 48 h after each exposure, and total RNA was sequenced. Differentially expressed genes (DEGs) were identified using DESeq2, followed by GO enrichment and pathway analysis. FA-A, DE-A, and PDDE-A exposures significantly modulated genes relative to FA-S, with 462 unique DEGs identified. FA-A uniquely modulated the highest number (↑178, ↓155), followed by DE-A (↑44, ↓23), and then PDDE-A exposure (↑15, ↓2); 6 DEGs (↑4, ↓2) were modulated by all three conditions. Exposure to PDDE-A resulted in modulation of 285 DEGs compared to DE-A exposure, further revealing 26 biological process GO terms, including "cellular response to chemokine" and "inflammatory response". The transcriptional epithelial response to diesel exhaust and allergen co-exposure is enriched in inflammatory mediators, the pattern of which is altered upon particle depletion.
Collapse
Affiliation(s)
- Shijia Li
- Air Pollution Exposure Laboratory (APEL), Faculty of Medicine, University of British Columbia, Vancouver, Canada.
| | - Ryan D Huff
- Air Pollution Exposure Laboratory (APEL), Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Christopher F Rider
- Air Pollution Exposure Laboratory (APEL), Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Agnes C Y Yuen
- Air Pollution Exposure Laboratory (APEL), Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Chris Carlsten
- Air Pollution Exposure Laboratory (APEL), Faculty of Medicine, University of British Columbia, Vancouver, Canada
| |
Collapse
|
6
|
Xu R, Luo L, Yuan T, Chen W, Wei J, Shi C, Wang S, Liang S, Li Y, Zhong Z, Liu L, Zheng Y, Deng X, Liu T, Fan Z, Liu Y, Zhang J. Association of short-term exposure to ambient fine particulate matter and ozone with outpatient visits for anxiety disorders: A hospital-based case-crossover study in South China. J Affect Disord 2024; 361:277-284. [PMID: 38844166 DOI: 10.1016/j.jad.2024.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 04/25/2024] [Accepted: 06/02/2024] [Indexed: 06/17/2024]
Abstract
BACKGROUND The short-term adverse effects of ambient fine particulate matter (PM2.5) and ozone (O3) on anxiety disorders (ADs) remained inconclusive. METHODS We applied an individual-level time-stratified case-crossover study, which including 126,112 outpatient visits for ADs during 2019-2021 in Guangdong province, China, to investigate the association of short-term exposure to PM2.5 and O3 with outpatient visits for ADs, and estimate excess outpatient visits in South China. Daily residential air pollutant exposure assessments were performed by extracting grid data (spatial resolution: 1 km × 1 km) from validated datasets. We employed the conditional logistic regression model to quantify the associations and excess outpatient visits. RESULTS The results of the single-pollutant models showed that each 10 μg/m3 increase of PM2.5 and O3 exposures was significantly associated with a 3.14 % (95 % confidence interval: 2.47 %, 3.81 %) and 0.88 % (0.49 %, 1.26 %) increase in odds of outpatient visits for ADs, respectively. These associations remained robust in 2-pollutant models. The proportion of outpatient visits attributable to PM2.5 and O3 exposures was up to 7.20 % and 8.93 %, respectively. Older adults appeared to be more susceptible to PM2.5 exposure, especially in cool season, and subjects with recurrent outpatient visits were more susceptible to O3 exposure. LIMITATION As our study subjects were from one single hospital in China, it should be cautious when generalizing our findings to other regions. CONCLUSION Short-term exposure to ambient PM2.5 and O3 was significantly associated with a higher odds of outpatient visits for ADs, which can contribute to considerable excess outpatient visits.
Collapse
Affiliation(s)
- Ruijun Xu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Lu Luo
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Ting Yuan
- Department of Psychosomatic Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Wangni Chen
- Department of Psychosomatic Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USA
| | - Chunxiang Shi
- Meteorological Data Laboratory, National Meteorological Information Center, Beijing, China
| | - Sirong Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Sihan Liang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yingxin Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zihua Zhong
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Likun Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yi Zheng
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Xinyi Deng
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Tingting Liu
- Health Department, The Affiliated Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, Guangdong, China
| | - Zhaoyu Fan
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
| | - Jie Zhang
- Department of Psychosomatic Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
| |
Collapse
|
7
|
Zhang Y, Wang Y, Zheng H, Wei J. Increased mortality risk from airborne exposure to polycyclic aromatic hydrocarbons. JOURNAL OF HAZARDOUS MATERIALS 2024; 474:134714. [PMID: 38820754 DOI: 10.1016/j.jhazmat.2024.134714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Revised: 05/15/2024] [Accepted: 05/22/2024] [Indexed: 06/02/2024]
Abstract
BACKGROUND The potential health effects of airborne polycyclic aromatic hydrocarbons (PAHs) among general population remained extensively unstudied. This study sought to investigate the association of short-term exposure to low-level total and 7 carcinogenic PAHs with mortality risk. METHODS We conducted an individual-level time-stratified case-crossover study in Jiangsu province of eastern China, by investigating over 2 million death cases during 2016-2019. Daily concentrations of total PAH and its 7 carcinogenic species including benzo[a]anthracene (BaA), benzo[a]pyrene (BaP), benzo[b]fluoranthene (BbF), benzo[k]fluoranthene (BkF), chrysene (Chr), dibenz[a,h]anthracene (DahA), and indeno[1,2,3-cd]pyrene (IcdP), predicted by well-validated spatiotemporal models, were assigned to death cases according to their residential addresses. We estimated mortality risk associated with short-term exposure to increase of an interquartile range (IQR) for aforementioned PAHs using conditional logistic regression. RESULTS An IQR increase (16.9 ng/m3) in 2-day (the current and prior day) moving average of total PAH concentration was associated with risk increases of 1.90% (95% confidence interval [CI]: 1.71-2.09) in all-cause mortality, 1.90% (95% CI: 1.70-2.10) in nonaccidental mortality, 2.01% (95% CI: 1.72-2.29) in circulatory mortality, and 2.53% (95% CI: 2.03-3.02) in respiratory mortality. Risk increases of cause-specific mortality ranged between 1.42-1.90% for BaA (IQR: 1.6 ng/m3), 1.94-2.53% for BaP (IQR: 1.6 ng/m3), 2.45-3.16% for BbF (IQR: 2.8 ng/m3), 2.80-3.65% for BkF (IQR: 1.0 ng/m3), 1.36-1.77% for Chr (IQR: 1.8 ng/m3), 0.77-1.24% for DahA (IQR: 0.8 ng/m3), and 2.96-3.85% for IcdP (IQR: 1.7 ng/m3). CONCLUSIONS This study provided suggested evidence for heightened mortality risk in relation to short-term exposure to airborne PAHs in general population. Our findings suggest that airborne PAHs may pose a potential threat to public health, emphasizing the need of more population-based evidence to enhance the understanding of health risk under the low-dose exposure scenario.
Collapse
Affiliation(s)
- Yunquan Zhang
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China.
| | - 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
| | - Hao Zheng
- Department of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20742, United States.
| |
Collapse
|
8
|
Nkoy FL, Stone BL, Zhang Y, Luo G. A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection. JMIR Med Inform 2024; 12:e56572. [PMID: 38630536 PMCID: PMC11063904 DOI: 10.2196/56572] [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: 01/24/2024] [Revised: 03/12/2024] [Accepted: 03/25/2024] [Indexed: 04/19/2024] Open
Abstract
Inhaled corticosteroid (ICS) is a mainstay treatment for controlling asthma and preventing exacerbations in patients with persistent asthma. Many types of ICS drugs are used, either alone or in combination with other controller medications. Despite the widespread use of ICSs, asthma control remains suboptimal in many people with asthma. Suboptimal control leads to recurrent exacerbations, causes frequent ER visits and inpatient stays, and is due to multiple factors. One such factor is the inappropriate ICS choice for the patient. While many interventions targeting other factors exist, less attention is given to inappropriate ICS choice. Asthma is a heterogeneous disease with variable underlying inflammations and biomarkers. Up to 50% of people with asthma exhibit some degree of resistance or insensitivity to certain ICSs due to genetic variations in ICS metabolizing enzymes, leading to variable responses to ICSs. Yet, ICS choice, especially in the primary care setting, is often not tailored to the patient's characteristics. Instead, ICS choice is largely by trial and error and often dictated by insurance reimbursement, organizational prescribing policies, or cost, leading to a one-size-fits-all approach with many patients not achieving optimal control. There is a pressing need for a decision support tool that can predict an effective ICS at the point of care and guide providers to select the ICS that will most likely and quickly ease patient symptoms and improve asthma control. To date, no such tool exists. Predicting which patient will respond well to which ICS is the first step toward developing such a tool. However, no study has predicted ICS response, forming a gap. While the biologic heterogeneity of asthma is vast, few, if any, biomarkers and genotypes can be used to systematically profile all patients with asthma and predict ICS response. As endotyping or genotyping all patients is infeasible, readily available electronic health record data collected during clinical care offer a low-cost, reliable, and more holistic way to profile all patients. In this paper, we point out the need for developing a decision support tool to guide ICS selection and the gap in fulfilling the need. Then we outline an approach to close this gap via creating a machine learning model and applying causal inference to predict a patient's ICS response in the next year based on the patient's characteristics. The model uses electronic health record data to characterize all patients and extract patterns that could mirror endotype or genotype. This paper supplies a roadmap for future research, with the eventual goal of shifting asthma care from one-size-fits-all to personalized care, improve outcomes, and save health care resources.
Collapse
Affiliation(s)
- Flory L Nkoy
- Department of Pediatrics, University of Utah, Salt Lake City, UT, United States
| | - Bryan L Stone
- Department of Pediatrics, University of Utah, Salt Lake City, UT, United States
| | - Yue Zhang
- Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States
- Division of Biostatistics, Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States
| | - Gang Luo
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States
| |
Collapse
|
9
|
Yousefi-Reykandeh SS, Moosazadeh M, Kheradmand M, Hosseini A, Bagheri-Nesami M. The frequency of asthma and its related factors: results of the enrolment phase of Tabari cohort study. J Asthma 2024:1-9. [PMID: 38551851 DOI: 10.1080/02770903.2024.2337850] [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: 02/07/2024] [Accepted: 03/28/2024] [Indexed: 04/11/2024]
Abstract
INTRODUCTION A large portion of the world's population has asthma. This study aimed to ascertain asthma prevalence and related factors in the Tabari cohort study (TCS). METHODS The TCS included 10,255 35-70-year-olds from urban and mountainous Sari (northern Iran) between June 2015 and November 2017. Education, occupation, domicile, socioeconomic position, history of psychiatric disorders, smoking (including hookah smoking), opium usage, and daily physical activity level were determined. RESULTS The final analysis included 9939 individuals. The asthma rate was 7.4%. Multiple factors increased asthma risk, according to statistical analysis. These factors included being female (OR, 1.337; 95% CI, 1.142-1.565), retired (OR, 1.553; 95% CI, 1.205-2.002), living in the city (OR, 1.268; 95% CI, 1.083-1.484), using opioids (OR, 1.689; 95% CI, 1.299-2.197), having lower socioeconomic status (SES) (OR, 0.723; 95% CI, 0.579-0.903), history of psychiatric disorders (OR, 2.313; 95% CI, 1.826-2.930), and aged 60-70 (OR, 2.325; 95% CI, 1.765-3.064), and BMI above 30 kg/m2 (OR, 1.499; 95% CI, 1.220-1.841). Several factors increased asthma probability in multivariate regression analysis. These factors include being female (OR = 1.389, p = 0.015), ages between 60 and 70 (OR = 2.034, p < 0.001), using opioids (OR = 1.940, p < 0.001), lower SES (OR = 0.738, p = 0.012), history of psychiatric disorders (OR = 2.035, p < 0.001), BMI above 30 kg/m2 (OR = 1.518, p < 0.001), and being a smoker (OR = 1.337, p = 0.056). CONCLUSION This study has identified that the prevalence of asthma in the Tabari cohort group is high. In addition, it was demonstrated that various factors are related to asthma.
Collapse
Affiliation(s)
| | - Mahmood Moosazadeh
- Gastrointestinal Cancer Research Center, Non-communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran
| | - Motahareh Kheradmand
- Health Sciences Research Center, Mazandaran University of Medical Sciences, Sari, Iran
| | - Amirsaeed Hosseini
- Traditional and Complementary Medicine Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran
| | - Masoumeh Bagheri-Nesami
- Traditional and Complementary Medicine Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran
- World Federation of Acupuncture-Moxibustion Societies (WFAS), Beijing, China
| |
Collapse
|
10
|
Johnston RA, Pilkington AW, Atkins CL, Boots TE, Brown PL, Jackson WT, Spencer CY, Siddiqui SR, Haque IU. Inconsequential role for chemerin-like receptor 1 in the manifestation of ozone-induced lung pathophysiology in male mice. Physiol Rep 2024; 12:e16008. [PMID: 38631890 PMCID: PMC11023814 DOI: 10.14814/phy2.16008] [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: 02/22/2024] [Revised: 03/27/2024] [Accepted: 03/28/2024] [Indexed: 04/19/2024] Open
Abstract
We executed this study to determine if chemerin-like receptor 1 (CMKLR1), a Gi/o protein-coupled receptor expressed by leukocytes and non-leukocytes, contributes to the development of phenotypic features of non-atopic asthma, including airway hyperresponsiveness (AHR) to acetyl-β-methylcholine chloride, lung hyperpermeability, airway epithelial cell desquamation, and lung inflammation. Accordingly, we quantified sequelae of non-atopic asthma in wild-type mice and mice incapable of expressing CMKLR1 (CMKLR1-deficient mice) following cessation of acute inhalation exposure to either filtered room air (air) or ozone (O3), a criteria pollutant and non-atopic asthma stimulus. Following exposure to air, lung elastic recoil and airway responsiveness were greater while the quantity of adiponectin, a multi-functional adipocytokine, in bronchoalveolar lavage (BAL) fluid was lower in CMKLR1-deficient as compared to wild-type mice. Regardless of genotype, exposure to O3 caused AHR, lung hyperpermeability, airway epithelial cell desquamation, and lung inflammation. Nevertheless, except for minimal genotype-related effects on lung hyperpermeability and BAL adiponectin, we observed no other genotype-related differences following O3 exposure. In summary, we demonstrate that CMKLR1 limits the severity of innate airway responsiveness and lung elastic recoil but has a nominal effect on lung pathophysiology induced by acute exposure to O3.
Collapse
Affiliation(s)
- Richard A. Johnston
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and PreventionUnited States Department of Health and Human ServicesMorgantownWest VirginiaUSA
- Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, School of MedicineWest Virginia UniversityMorgantownWest VirginiaUSA
- Division of Critical Care Medicine, Department of PediatricsMcGovern Medical School at the University of Texas Health Science Center at HoustonHoustonTexasUSA
- Department of Integrative Biology and PharmacologyMcGovern Medical School at the University of Texas Health Science Center at HoustonHoustonTexasUSA
| | - Albert W. Pilkington
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and PreventionUnited States Department of Health and Human ServicesMorgantownWest VirginiaUSA
| | - Constance L. Atkins
- Division of Pulmonary Medicine, Department of PediatricsMcGovern Medical School at the University of Texas Health Science Center at HoustonHoustonTexasUSA
| | - Theresa E. Boots
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and PreventionUnited States Department of Health and Human ServicesMorgantownWest VirginiaUSA
| | - Philip L. Brown
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and PreventionUnited States Department of Health and Human ServicesMorgantownWest VirginiaUSA
| | - William T. Jackson
- Division of Critical Care Medicine, Department of PediatricsMcGovern Medical School at the University of Texas Health Science Center at HoustonHoustonTexasUSA
| | - Chantal Y. Spencer
- Section of Pediatric Pulmonology, Department of PediatricsBaylor College of MedicineHoustonTexasUSA
| | - Saad R. Siddiqui
- Division of Critical Care Medicine, Department of PediatricsMcGovern Medical School at the University of Texas Health Science Center at HoustonHoustonTexasUSA
| | - Ikram U. Haque
- Division of Critical Care Medicine, Department of PediatricsMcGovern Medical School at the University of Texas Health Science Center at HoustonHoustonTexasUSA
- Division of Critical Care, Department of PediatricsSidra MedicineDohaQatar
| |
Collapse
|
11
|
Wei S, Xu T, Sang N, Yue H, Chen Y, Jiang T, Jiang T, Yin D. Mixed Metal Components in PM 2.5 Contribute to Chemokine Receptor CCR5-Mediated Neuroinflammation and Neuropathological Changes in the Mouse Olfactory Bulb. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:4914-4925. [PMID: 38436231 DOI: 10.1021/acs.est.3c08506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
Particulate matter, especially PM2.5, can invade the central nervous system (CNS) via the olfactory pathway to induce neurotoxicity. The olfactory bulb (OB) is the key component integrating immunoprotection and olfaction processing and is necessarily involved in the relevant CNS health outcomes. Here we show that a microglial chemokine receptor, CCR5, is the target of environmentally relevant PM2.5 in the OB to trigger neuroinflammation and then neuropathological injuries. Mechanistically, PM2.5-induced CCR5 upregulation results in the pro-inflammatory paradigm of microglial activation, which subsequently activates TLR4-NF-κB neuroinflammation signaling and induces neuropathological changes that are closely related to neurodegenerative disorders (e.g., Aβ deposition and disruption of the blood-brain barrier). We specifically highlight that manganese and lead in PM2.5 are the main contributors to CCR5-mediated microglial activation and neuroinflammation in synergy with aluminum. Our results uncover a possible pathway of PM2.5-induced neuroinflammation and identify the principal neurotoxic components, which can provide new insight into efficiently diminishing the adverse health effects of PM2.5.
Collapse
Affiliation(s)
- Sheng Wei
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
| | - Ting Xu
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
- Department of Key Laboratory, Changshu No.2 People's Hospital, Changshu 215500, China
| | - Nan Sang
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan 030006, China
| | - Huifeng Yue
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan 030006, China
| | - Yawen Chen
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
- Postdoctoral Research Station of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
| | - Tao Jiang
- Lyon Neuroscience Research Center (CRNL), Sensory Neuro-Ethology Team, 59 Bd Pinel, Bron 69500, France
| | - Tingwang Jiang
- Department of Key Laboratory, Changshu No.2 People's Hospital, Changshu 215500, China
| | - Daqiang Yin
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
- Department of Key Laboratory, Changshu No.2 People's Hospital, Changshu 215500, China
| |
Collapse
|
12
|
Wu N, Shi W, Sun X. Association of Long-Term Exposure to Ambient Air Pollution With the Risk of Acute Primary Angle Closure. Transl Vis Sci Technol 2024; 13:7. [PMID: 38470319 PMCID: PMC10941992 DOI: 10.1167/tvst.13.3.7] [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: 04/17/2023] [Accepted: 01/29/2024] [Indexed: 03/13/2024] Open
Abstract
Purpose The purpose of this study was to investigate the association between long-term exposure to ambient air pollutants and the risk of acute primary angle closure (APAC). Methods Two hundred eighty-one (281) patients with APAC and 730 age- and sex-matched controls hospitalized between January 2017 and December 2019 were enrolled in this retrospective case-control study. Residential exposure to ambient air pollutants, including fine particulate matter (PM2.5), inhalable particulate (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), and ozone were estimated by satellite-models or ground measurement. Multivariate regression analyses explored the association between annual air pollutants exposure and the risk of APAC. Results Of the 1011 participants (31.1% were male subjects), the average age was 64.0 years. Long-term exposure to PM2.5, PM10, and SO2 were significantly associated with an increased risk of APAC. The adjusted odds ratios (aORs) for each interquartile range (IQR) increment of PM2.5, PM10, and SO2 were 1.28 (95% confidence interval [CI] = 1.06-1.57), 1.26 (95% CI = 1.06-1.50), and 1.30 (95% CI = 1.04-1.62) separately, after controlling for confounders. Robust associations were observed for a longer lag 2-year exposure. Conclusions Long-term exposure to PM2.5, PM10, and SO2 was associated with an increased risk of APAC in a Chinese population. Our findings provide epidemiological implications on the adverse effects of air pollution on ocular diseases. Translational Relevance Long-term exposure to ambient air pollutants increased the risk of APAC.
Collapse
Affiliation(s)
- Na Wu
- Department of Ophthalmology and Visual Science, Eye and ENT Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, and Shanghai Key Laboratory of Visual Impairment and Restoration (Fudan University), Shanghai, China
| | - Wenming Shi
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Xinghuai Sun
- Department of Ophthalmology and Visual Science, Eye and ENT Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, and Shanghai Key Laboratory of Visual Impairment and Restoration (Fudan University), Shanghai, China
- State Key Laboratory of Medical Neurobiology, Institutes of Brain Science and Collaborative Innovation Center for Brain Science, Fudan University, Shanghai, China
| |
Collapse
|
13
|
Kim SH, Kim SY, Yoon HY, Song JW. PM 10 increases mortality risk in rheumatoid arthritis-associated interstitial lung disease. RMD Open 2024; 10:e003680. [PMID: 38331470 PMCID: PMC10860120 DOI: 10.1136/rmdopen-2023-003680] [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: 09/02/2023] [Accepted: 01/22/2024] [Indexed: 02/10/2024] Open
Abstract
OBJECTIVES The effect of air pollution on the prognosis of rheumatoid arthritis-associated interstitial lung disease (RA-ILD) remains poorly understood. We aimed to evaluate the effect of long-term exposure to particulate matter with an aerodynamic diameter of ≤10 µm (PM10) and nitrogen dioxide (NO2) on mortality in patients with RA-ILD. METHODS We included 309 patients (mean age, 61.7 years; male, 44.3%) with RA-ILD. Individual-level long-term exposures to PM10 and NO2 at their residential addresses were estimated using a national-scale exposure prediction model. The effect of the two air pollutants on mortality was estimated using a Cox-proportional hazards model adjusted for individual-level and area-level characteristics. RESULTS The median follow-up period was 4.8 years, and 40.8% of patients died or underwent lung transplantation. The annual average concentrations of PM10 and NO2 were 56.3 μg/m3 and 22.4 ppb, respectively. When air pollutant levels were stratified by quartiles, no association was observed between air pollutant concentration and mortality in patients with RA-ILD. However, when stratified by two groups (high exposure (top 25th percentile) vs low exposure (bottom 75th percentile)), we observed a significant association between high PM10 exposure and mortality (HR 1.68; 95% CI 1.11 to 2.52; p=0.013) but no association between NO2 exposure and mortality. In the subgroup analyses, the effect of high PM10 exposure on mortality was significant in patients aged <65 years (HR 1.98; 95% CI 1.02 to 3.85; p=0.045). CONCLUSIONS Our results indicated that high PM10 exposure may be associated with mortality in patients with RA-ILD.
Collapse
Affiliation(s)
- Soo Han Kim
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
- Department of Internal Medicine, Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, South Korea
| | - Sun-Young Kim
- Department of Cancer AI & Digital Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, South Korea
| | - Hee-Young Yoon
- Division of Allergy and Respiratory Diseases, Soonchunhyang University Seoul Hospital, Seoul, South Korea
| | - Jin Woo Song
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| |
Collapse
|
14
|
Zeng J, Lin G, Dong H, Li M, Ruan H, Yang J. Association Between Nitrogen Dioxide Pollution and Cause-Specific Mortality in China: Cross-Sectional Time Series Study. JMIR Public Health Surveill 2024; 10:e44648. [PMID: 38315528 PMCID: PMC10877496 DOI: 10.2196/44648] [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: 11/29/2022] [Revised: 09/18/2023] [Accepted: 01/07/2024] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND Nitrogen dioxide (NO2) has been frequently linked to a range of diseases and associated with high rates of mortality and morbidity worldwide. However, there is limited evidence regarding the risk of NO2 on a spectrum of causes of mortality. Moreover, adjustment for potential confounders in NO2 analysis has been insufficient, and the spatial resolution of exposure assessment has been limited. OBJECTIVE This study aimed to quantitatively assess the relationship between short-term NO2 exposure and death from a range of causes by adjusting for potential confounders in Guangzhou, China, and determine the modifying effect of gender and age. METHODS A time series study was conducted on 413,703 deaths that occurred in Guangzhou during the period of 2010 to 2018. The causes of death were classified into 10 categories and 26 subcategories. We utilized a generalized additive model with quasi-Poisson regression analysis using a natural cubic splines function with lag structure of 0 to 4 days to estimate the potential lag effect of NO2 on cause-specific mortality. We estimated the percentage change in cause-specific mortality rates per 10 μg/m3 increase in NO2 levels. We stratified meteorological factors such as temperature, humidity, wind speed, and air pressure into high and low levels with the median as the critical value and analyzed the effects of NO2 on various death-causing diseases at those high and low levels. To further identify potentially vulnerable subpopulations, we analyzed groups stratified by gender and age. RESULTS A significant association existed between NO2 exposure and deaths from multiple causes. Each 10 μg/m3 increment in NO2 density at a lag of 0 to 4 days increased the risks of all-cause mortality by 1.73% (95% CI 1.36%-2.09%) and mortality due to nonaccidental causes, cardiovascular disease, respiratory disease, endocrine disease, and neoplasms by 1.75% (95% CI 1.38%-2.12%), 2.06% (95% CI 1.54%-2.59%), 2.32% (95% CI 1.51%-3.13%), 2.40% (95% CI 0.84%-3.98%), and 1.18% (95% CI 0.59%-1.78%), respectively. Among the 26 subcategories, mortality risk was associated with 16, including intentional self-harm, hypertensive disease, and ischemic stroke disease. Relatively higher effect estimates of NO2 on mortality existed for low levels of temperature, relative humidity, wind speed, and air pressure than with high levels, except a relatively higher effect estimate was present for endocrine disease at a high air pressure level. Most of the differences between subgroups were not statistically significant. The effect estimates for NO2 were similar by gender. There were significant differences between the age groups for mortality due to all causes, nonaccidental causes, and cardiovascular disease. CONCLUSIONS Short-term NO2 exposure may increase the risk of mortality due to a spectrum of causes, especially in potentially vulnerable populations. These findings may be important for predicting and modifying guidelines for NO2 exposure in China.
Collapse
Affiliation(s)
- Jie Zeng
- Department of Internet Medical Center, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Guozhen Lin
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University and Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Hang Dong
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University and Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Mengmeng Li
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Honglian Ruan
- School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Jun Yang
- School of Public Health, Guangzhou Medical University, Guangzhou, China
| |
Collapse
|
15
|
Agache I, Canelo-Aybar C, Annesi-Maesano I, Cecchi L, Rigau D, Rodríguez-Tanta LY, Nieto-Gutierrez W, Song Y, Cantero-Fortiz Y, Roqué M, Vasquez JC, Sola I, Biagioni B, Chung F, D'Amato G, Damialis A, Del Giacco S, Vecillas LDL, Dominguez-Ortega J, Galàn C, Gilles S, Giovannini M, Holgate S, Jeebhay M, Nadeau K, Papadopoulos N, Quirce S, Sastre J, Traidl-Hoffmann C, Walusiak-Skorupa J, Sousa-Pinto B, Alonso-Coello P, Salazar J, Jutel M, Akdis C. The impact of outdoor pollution and extreme temperatures on asthma-related outcomes: A systematic review for the EAACI guidelines on environmental science for allergic diseases and asthma. Allergy 2024. [PMID: 38311978 DOI: 10.1111/all.16041] [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: 12/18/2023] [Revised: 01/05/2024] [Accepted: 01/16/2024] [Indexed: 02/06/2024]
Abstract
Air pollution is one of the biggest environmental threats for asthma. Its impact is augmented by climate change. To inform the recommendations of the EAACI Guidelines on the environmental science for allergic diseases and asthma, a systematic review (SR) evaluated the impact on asthma-related outcomes of short-term exposure to outdoor air pollutants (PM2.5, PM10, NO2 , SO2 , O3 , and CO), heavy traffic, outdoor pesticides, and extreme temperatures. Additionally, the SR evaluated the impact of the efficacy of interventions reducing outdoor pollutants. The risk of bias was assessed using ROBINS-E tools and the certainty of the evidence by using GRADE. Short-term exposure to PM2.5, PM10, and NO2 probably increases the risk of asthma-related hospital admissions (HA) and emergency department (ED) visits (moderate certainty evidence). Exposure to heavy traffic may increase HA and deteriorate asthma control (low certainty evidence). Interventions reducing outdoor pollutants may reduce asthma exacerbations (low to very low certainty evidence). Exposure to fumigants may increase the risk of new-onset asthma in agricultural workers, while exposure to 1,3-dichloropropene may increase the risk of asthma-related ED visits (low certainty evidence). Heatwaves and cold spells may increase the risk of asthma-related ED visits and HA and asthma mortality (low certainty evidence).
Collapse
Affiliation(s)
- Ioana Agache
- Faculty of Medicine, Transylvania University, Brasov, Romania
| | - Carlos Canelo-Aybar
- Department of Clinical Epidemiology and Public Health, Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Isabella Annesi-Maesano
- Institute Desbrest of Epidemiology and Public Health, University of Montpellier and INSERM, Montpellier, France
| | - Lorenzo Cecchi
- Centre of Bioclimatology, University of Florence, Florence, Italy
| | - David Rigau
- Department of Clinical Epidemiology and Public Health, Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - L Yesenia Rodríguez-Tanta
- Department of Clinical Epidemiology and Public Health, Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Wendy Nieto-Gutierrez
- Department of Clinical Epidemiology and Public Health, Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Yang Song
- Department of Clinical Epidemiology and Public Health, Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Yahveth Cantero-Fortiz
- Department of Clinical Epidemiology and Public Health, Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Marta Roqué
- Department of Clinical Epidemiology and Public Health, Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Juan Carlos Vasquez
- Department of Clinical Epidemiology and Public Health, Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Ivan Sola
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Benedetta Biagioni
- Allergy and Clinical Immunology Unit San Giovanni di Dio Hospital, Florence, Italy
| | | | - Gennaro D'Amato
- Medical School of Respiratory Diseases, University of Naples Federico II, Naples, Italy
| | - Athanasios Damialis
- Department of Ecology, School of Biology, Faculty of Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Stefano Del Giacco
- Department of Medical Sciences and Public Health, University of Cagliari, Monserrato, Italy
| | - Leticia de Las Vecillas
- Department of Allergy, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain
| | - Javier Dominguez-Ortega
- Department of Allergy, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain
| | - Carmen Galàn
- Department of Botany, Ecology and Plant Physiology, International Campus of Excellence on Agrifood (ceiA3), University of Córdoba, Córdoba, Spain
| | - Stefanie Gilles
- Environmental Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Mattia Giovannini
- Allergy Unit, Meyer Children's Hospital IRCCS, Florence, Italy
- Department of Health Sciences, University of Florence, Florence, Italy
| | - Stephen Holgate
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Mohamed Jeebhay
- Occupational Medicine Division and Centre for Environmental & Occupational Health Research, University of Cape Town, Rondebosch, South Africa
| | - Kari Nadeau
- John Rock Professor of Climate and Population Studies; Chair, Department of Environmental Health, Interim Director, Center for Climate, Health, and The Global Environment, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Nikos Papadopoulos
- Allergy and Clinical Immunology Unit, Second Pediatric Clinic, National and Kapodistrian University of Athens, Athens, Greece
- Division of Evolution and Genomic Sciences, University of Manchester, Manchester, UK
| | - Santiago Quirce
- Department of Allergy, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain
| | - Joaquin Sastre
- Instituto Carlos III, Ministry of Science and Innovation, Allergy Service, Fundación Jiménez Díaz, Faculty of Medicine Universidad Autónoma de Madrid and CIBERES, Madrid, Spain
| | - Claudia Traidl-Hoffmann
- Department of Environmental Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany
- Institute of Environmental Medicine, Helmholtz Center Munich-German Research Center for Environmental Health, Augsburg, Germany
- Christine Kühne Center for Allergy Research and Education, Davos, Switzerland
| | - Jolanta Walusiak-Skorupa
- Department of Occupational Diseases and Environmental Health, Nofer Institute of Occupational Medicine, Lodz, Poland
| | - Bernardo Sousa-Pinto
- MEDCIDS-Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal
| | - Pablo Alonso-Coello
- Department of Clinical Epidemiology and Public Health, Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Josefina Salazar
- Department of Clinical Epidemiology and Public Health, Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Marek Jutel
- Department of Clinical Immunology, ALL-MED Medical Research Institute, Wrocław Medical University, Wroclaw, Poland
| | - Cezmi Akdis
- Swiss Institute of Allergy and Asthma Research (SIAF), University Zurich, Davos, Switzerland
| |
Collapse
|
16
|
Liu T, Shi C, Wei J, Xu R, Li Y, Wang R, Lu W, Liu L, Zhong C, Zhong Z, Zheng Y, Wang T, Hou S, Lv Z, Huang S, Chen G, Zhou Y, Sun H, Liu Y. Extreme temperature events and dementia mortality in Chinese adults: a population-based, case-crossover study. Int J Epidemiol 2024; 53:dyad119. [PMID: 37690069 DOI: 10.1093/ije/dyad119] [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: 02/22/2023] [Accepted: 08/23/2023] [Indexed: 09/12/2023] Open
Abstract
BACKGROUND The effect of exposure to extreme temperature events (ETEs) on dementia mortality remains largely unknown. We aimed to quantify the association of ETE exposure with dementia mortality. METHODS We conducted a population-based, case-crossover study among 57 791 dementia deaths in Jiangsu province, China, during 2015-20. Daily mean temperatures were extracted from a validated grid dataset at each subject's residential address, and grid-specific exposures to heat wave and cold spell were assessed with a combination of their intensity and duration. We applied conditional logistic regression models to investigate cumulative and lag effects for ETE exposures. RESULTS Exposure to ETE with each of all 24 definitions was associated with an increased odds of dementia mortality, which was higher when exposed to heat wave. Exposure to heat wave (daily mean temperature ≥95th percentile, duration ≥3 days (d); P95_3d) and cold spell (≤5th percentile, duration ≥3 d; P5_3d) was associated with a 75% (95% CI: 61%, 90%) and 30% (19%, 43%) increase in odds of dementia mortality, respectively. Definitions with higher intensity were generally associated with a higher odds of dementia mortality. We estimated that 6.14% of dementia deaths were attributable to exposure to heat wave (P90_2d) and cold spell (P10_2d). No effect modifications were observed by sex or age, except that the association for heat wave was stronger among women. CONCLUSIONS Exposure to both heat wave and cold spell was associated with an increased odds of dementia mortality. Our findings highlight that reducing individual ETE exposures may be helpful in preventing deaths from dementia, especially among women in summer.
Collapse
Affiliation(s)
- Tingting Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Chunxiang Shi
- Meteorological Data Laboratory, National Meteorological Information Center, Beijing, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Ruijun Xu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yingxin Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Rui Wang
- Luohu District Chronic Disease Hospital, Shenzhen, Guangdong, China
| | - Wenfeng Lu
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Likun Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Chenghui Zhong
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Zihua Zhong
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yi Zheng
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Tingting Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Sihan Hou
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Ziquan Lv
- Central Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China
| | - Suli Huang
- Department of Environment and Health, Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China
| | - Gongbo Chen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Yun Zhou
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Hong Sun
- Department of Environment and Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| |
Collapse
|
17
|
Zhang Y, Yang X, Jiang W, Gao X, Yang B, Feng XL, Yang L. Short-term effects of air pollutants on hospital admissions for asthma among older adults: a multi-city time series study in Southwest, China. Front Public Health 2024; 12:1346914. [PMID: 38347929 PMCID: PMC10859495 DOI: 10.3389/fpubh.2024.1346914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/12/2024] [Indexed: 02/15/2024] Open
Abstract
Background This study aimed to explore the relationship between air pollution and hospital admissions for asthma in older adults, and to further assess the health and economic burden of asthma admissions attributable to air pollution. Methods We collected information on asthma cases in people over 65 years of age from nine cities in Sichuan province, as well as air pollution and meteorological data. The relationship between short-term air pollutant exposure and daily asthma hospitalizations was analyzed using the generalized additive model (GAM), and stratified by gender, age, and season. In addition, we assessed the economic burden of hospitalization for air pollution-related asthma in older adults using the cost of disease approach. Results The single pollutant model showed that every 1 mg/m3 increase in CO was linked with an increase in daily hospitalizations for older adults with asthma, with relative risk values of 1.327 (95% CI: 1.116-1.577) at lag7. Each 10 μg/m3 increase in NO2, O3, PM10, PM2.5 and SO2, on asthma hospitalization, with relative risk values of 1.044 (95% CI: 1.011-1.078), 1.018 (95% CI: 1.002-1.034), 1.013 (95% CI: 1.004-1.022), 1.015 (95% CI: 1.003-1.028) and 1.13 (95% CI: 1.041-1.227), respectively. Stratified analysis shows that stronger associations between air pollution and asthma HAs among older adult in females, those aged 65-69 years, and in the warm season, although all of the differences between subgroups did not reach statistical significance. During the study period, the number of asthma hospitalizations attributable to PM2.5, PM10, and NO2 pollution was 764, 581 and 95, respectively, which resulted in a total economic cost of 6.222 million CNY, 4.73 million CNY and 0.776 million CNY, respectively. Conclusion This study suggests that short-term exposure to air pollutants is positively associated with an increase in numbers of asthma of people over 65 years of age in Sichuan province, and short-term exposure to excessive PM and NO2 brings health and economic burden to individuals and society.
Collapse
Affiliation(s)
- Yuqin Zhang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xi Yang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Wanyanhan Jiang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xi Gao
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Biao Yang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xing Lin Feng
- School of Public Health, Peking University, Beijing, China
| | - Lian Yang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| |
Collapse
|
18
|
Ren W, Yang H, Liu W, Zhang S, Yang Y, Yang L, Liu W, Zhang H, He K, Li X, Ge J. Exposure to mixtures of PM 2.5 components and term premature rupture of membranes: a case-crossover study in Shijiazhuang, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-13. [PMID: 38269576 DOI: 10.1080/09603123.2024.2308017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 01/16/2024] [Indexed: 01/26/2024]
Abstract
This study aims to explore the acute effects of short-term exposure to PM2.5 components and their mixture on PROM. Counts of hospital admissions due to PROM were collected at the Fourth Hospital of Shijiazhuang. The associations between the PROM and PM2.5 components was examined using a time-stratified case-crossover approach. The overall effects of components on TPROM were examined using the BKMR. During the study period 30,709 cases of PROMwere identified. The relative risks and the 95% CI of TPROM were 1.013 (1.002, 1.028) and 1.015 (1.003, 1.028) associated with per interquartile range increase in nitrate and ammonium ion on the current day and they were 1.007 (1.001, 1.013) and 1.003 (1.000, 1.005) on the previous day. The results from the BKMR models showed a higher risk of TPROM was associated with exposure to mixtures, in which, nitrate and organic matter were the main contributors to the overall effect.
Collapse
Affiliation(s)
- Weiyan Ren
- Hebei Key Laboratory of Environment and Human Health, School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Huangmin Yang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wencong Liu
- Department of Ultrasonics, The First Affiliated Hospital of Hebei Medical University, Shijiazhuang, China
| | - Shaochong Zhang
- Department of Medical Records, Shijiazhuang Fourth Hospital, shijiazhuang, China
| | - Yanjing Yang
- Department of Medical Records, Shijiazhuang Fourth Hospital, shijiazhuang, China
| | - Lei Yang
- Hebei Key Laboratory of Environment and Human Health, School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Wenxuan Liu
- Hebei Key Laboratory of Environment and Human Health, School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Haijuan Zhang
- Department of Medical Records, Shijiazhuang Fourth Hospital, shijiazhuang, China
| | - Ke He
- Department of Medical Records, Shijiazhuang Fourth Hospital, shijiazhuang, China
| | - Xia Li
- Department of Medical Records, Shijiazhuang Fourth Hospital, shijiazhuang, China
| | - Jun Ge
- Department of Medical Records, Shijiazhuang Fourth Hospital, shijiazhuang, China
| |
Collapse
|
19
|
Nguyen TTN, Vu TD, Vuong NL, Pham TVL, Le TH, Tran MD, Nguyen TL, Künzli N, Morgan G. Effect of ambient air pollution on hospital admission for respiratory diseases in Hanoi children during 2007-2019. ENVIRONMENTAL RESEARCH 2024; 241:117633. [PMID: 37980997 DOI: 10.1016/j.envres.2023.117633] [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: 07/04/2023] [Revised: 10/23/2023] [Accepted: 11/08/2023] [Indexed: 11/21/2023]
Abstract
Air pollution poses a threat to children's respiratory health. This study aims to quantify the association between short-term air pollution exposure and respiratory hospital admissions among children in Hanoi, Vietnam, and estimate the population-attributable burden using local data. A case-crossover analysis was conducted based on the individual records where each case is their own control. The health data was obtained from 13 hospitals in Hanoi and air pollution data was collected from four monitoring stations from 2007 to 2019. We used conditional logistic regression to estimate Percentage Change (PC) and 95% Confidence Interval (CI) in odd of hospital admissions per 10 μg/m3 increase in daily average particulate matter (e.g. PM1, PM2.5, PM10), Sulfur Dioxide (SO2), Nitrogen Dioxide (NO2), 8-h maximum Ozone and per 1000 μg/m3 increase in daily mean of Carbon Monoxide (CO). We also calculated the number and fraction of admissions attributed to air pollution in Hanoi by using the coefficient at lag 0. A 10 μg/m3 increase in the concentration of PM10, PM2.5, PM1, SO2, NO2, O3 8-h maximum and 1000 μg/m3 increase in CO concentration was associated with 0.6%, 1.2%, 1.4%, 0.8%, 1.6%, 0.3%, and 1.7% increase in odd of admission for all respiratory diseases among children under 16 years at lag 0-2. All PM metrics and NO2 are associated with childhood admission for pneumonia and bronchitis. Admissions due to asthma and upper respiratory diseases are related to increments in NO2 and CO. For attributable cases, PM2.5 concentrations in Hanoi exceeding the World Health Organization Air Quality Guidelines accounted for 1619 respiratory hospital admissions in Hanoi children in 2019. Our findings show that air pollution has a detrimental impact on the respiratory health of Hanoi children and there will be important health benefits from improved air quality management planning to reduce air pollution in Vietnam.
Collapse
Affiliation(s)
- Thi Trang Nhung Nguyen
- Hanoi University of Public Health, Hanoi, Viet Nam; Vietnam National Children's Hospital, Hanoi, Viet Nam.
| | - Tri Duc Vu
- Hanoi University of Public Health, Hanoi, Viet Nam; Vietnam National Children's Hospital, Hanoi, Viet Nam
| | - Nhu Luan Vuong
- Northern Center for Environmental Monitoring, Hanoi, Viet Nam
| | | | - Tu Hoang Le
- Hanoi University of Public Health, Hanoi, Viet Nam
| | | | | | - Nino Künzli
- Swiss Tropical and Public Health, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Geoffrey Morgan
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Centre for Safe Air, University of Tasmania, Hobart, Tasmania, Australia
| |
Collapse
|
20
|
Xu R, Sun H, Zhong Z, Zheng Y, Liu T, Li Y, Liu L, Luo L, Wang S, Lv Z, Huang S, Shi C, Chen W, Wei J, Xia W, Liu Y. Ozone, Heat Wave, and Cardiovascular Disease Mortality: A Population-Based Case-Crossover Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:171-181. [PMID: 38100468 DOI: 10.1021/acs.est.3c06889] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2023]
Abstract
A case-crossover study among 511,767 cardiovascular disease (CVD) deaths in Jiangsu province, China, during 2015-2021 was conducted to assess the association of exposure to ambient ozone (O3) and heat wave with CVD mortality and explore their possible interactions. Heat wave was defined as extreme high temperature for at least two consecutive days. Grid-level heat waves were defined by multiple combinations of apparent temperature thresholds and durations. Residential O3 and heat wave exposures were assessed using grid data sets (spatial resolution: 1 km × 1 km for O3; 0.0625° × 0.0625° for heat wave). Conditional logistic regression models were applied for exposure-response analyses and evaluation of additive interactions. Under different heat wave definitions, the odds ratios (ORs) of CVD mortality associated with medium-level and high-level O3 exposures ranged from 1.029 to 1.107 compared with low-level O3, while the ORs for heat wave exposure ranged from 1.14 to 1.65. Significant synergistic effects on CVD mortality were observed for the O3 and heat wave exposures, which were generally greater with higher levels of the O3 exposure, higher temperature thresholds, and longer durations of heat wave exposure. Up to 5.8% of the CVD deaths were attributable to O3 and heat wave. Women and older adults were more vulnerable to the exposure to O3 and heat wave exposure. Exposure to both O3 and heat wave was significantly associated with an increased odds of CVD mortality, and O3 and heat wave can interact synergistically to trigger CVD deaths.
Collapse
Affiliation(s)
- Ruijun Xu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Hong Sun
- Institute of Environment and Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China
| | - Zihua Zhong
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Yi Zheng
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Tingting Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Yingxin Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Likun Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Lu Luo
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Sirong Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Ziquan Lv
- Central Laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China
| | - Suli Huang
- School of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong 518055, China
| | - Chunxiang Shi
- Meteorological Data Laboratory, National Meteorological Information Center, Beijing 100081, China
| | - Weiqing Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20740, United States
| | - Wenhao Xia
- Department of Hypertension and Vascular Disease, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Department of Cardiology, Guangxi Hospital Division of The First Affiliated Hospital, Sun Yat-sen University, Nanning, Guangxi 530022, China
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| |
Collapse
|
21
|
Fiter RJ, Murphy LJ, Gong MN, Cleven KL. The impact of air pollution on asthma: clinical outcomes, current epidemiology, and health disparities. Expert Rev Respir Med 2023; 17:1237-1247. [PMID: 38247719 DOI: 10.1080/17476348.2024.2307545] [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: 10/05/2023] [Accepted: 01/16/2024] [Indexed: 01/23/2024]
Abstract
INTRODUCTION Air pollution has been shown to have a significant impact on morbidity and mortality of respiratory illnesses including asthma. AREAS COVERED Outdoor air pollution consists of a mixture of individual pollutants including vehicle traffic and industrial pollution. Studies have implicated an array of individual components of air pollution, with PM2.5, NO2, SO2, and ozone being the most classically described, and newer literature implicating other pollutants such as black carbon and volatile organic compounds. Epidemiological and cohort studies have described incidence and prevalence of pollution-related asthma and investigated both acute and chronic air pollution exposure as they relate to asthma outcomes. There is an increasing body of literature tying disparities in pollution exposure to clinical outcomes. In this narrative review, we assessed the published research investigating the association of pollution with asthma outcomes, focusing on the adult population and health care disparities. EXPERT OPINION Pollution has multiple deleterious effects on respiratory health but there is a lack of data on individualized pollution monitoring, making it difficult to establish a temporal relationship between exposure and symptoms, thereby limiting our understanding of safe exposure levels. Future research should focus on more personalized monitoring and treatment plans for mitigating exposure.
Collapse
Affiliation(s)
- Ryan J Fiter
- Department of Medicine, Montefiore Medical Center, Bronx, NY, USA
| | - Lila J Murphy
- Department of Medicine, Montefiore Medical Center, Bronx, NY, USA
| | - Michelle N Gong
- Department of Medicine, Montefiore Medical Center, Bronx, NY, USA
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Krystal L Cleven
- Department of Medicine, Montefiore Medical Center, Bronx, NY, USA
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| |
Collapse
|
22
|
Wei Q, Lin W, Zhang H, Lai Y, Zhuang S, Han Z, Wang Q, Wang L, Li W, Wen L, Hou H, Hu Q. Role of antenatal anxiety in the relationship between maternal exposure to nitrogen dioxide and small for gestational age: A birth cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 900:165812. [PMID: 37499810 DOI: 10.1016/j.scitotenv.2023.165812] [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: 04/25/2023] [Revised: 07/04/2023] [Accepted: 07/24/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND Both Nitrogen dioxide (NO2) exposure and antenatal anxiety have individually been associated with small for gestational age (SGA). Little is known, however, about whether there is effect modification of antenatal anxiety on NO2-related SGA. METHODS The prospective birth cohort study included 1823 mother-newborn pairs in Guangzhou, China, from January 2017 to April 2020. Exposure to NO2 during the pre-conceptional and prenatal periods was estimated using an inverse distance weighted method. Antenatal anxiety was assessed by Trait Anxiety Inventory. SGA was determined by the Chinese gestational age- and sex-specific birthweight standards. Cox proportional hazards regression models was used to estimate hazard ratios (HRs) and 95 % confidence intervals (CIs) for SGA as per 10 μg/m3 increase in NO2. Modifying effects of trait anxiety on NO2-related SGA were identified by stratified analyses, and three-dimensional response surface plots and two-dimensional heat maps. RESULTS Each 10 μg/m3 increase in NO2 exposure during the third trimester was significantly associated with SGA risk among overall participants (HR = 1.221, 95 % CI: 1.014-1.471) and primipara (HR = 1.271, 95 % CI: 1.023-1.579). We found significant effect modification of anxiety level for NO2-related SGA in the third trimester (Pinteraction < 0.05). Pregnant women with higher levels of trait anxiety were more likely to deliver SGA newborns, particularly for those with high trait anxiety (HR = 1.781, 95 % CI: 1.007-2.945). Primiparous women were more susceptible. CONCLUSIONS This study provides evidence that antenatal trait anxiety may modify the effects of maternal NO2 exposure on SGA risk. The third trimester could be a critical window of susceptibility.
Collapse
Affiliation(s)
- Qiannan Wei
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - Weiwei Lin
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
| | - Hedi Zhang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - Yuming Lai
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - Shuling Zhuang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - Zhenyan Han
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou 510630, Guangdong, China
| | - Qingqing Wang
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou 510630, Guangdong, China
| | - Lijie Wang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - Wenzhuo Li
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - Li Wen
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - Hongying Hou
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou 510630, Guangdong, China
| | - Qiansheng Hu
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| |
Collapse
|
23
|
Gao X, Li J, Zhang X, Jiang W, Liao J, Yang L. Short-term ambient ozone exposure increases the risk of hospitalization with depression: a multi-city time-stratified case-crossover study. J Ment Health 2023:1-8. [PMID: 37950397 DOI: 10.1080/09638237.2023.2278102] [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: 03/08/2023] [Accepted: 09/06/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND Depression, the most common mental illness worldwide, has been studied and air pollution has been found to increase the risk of depression hospitalization, but research results on ozone (O3) remain limited. In this context, we investigated the relationship between short-term O3 exposure and depression-related hospital admissions (HAs). METHODS The 10,459 records of HAs for depression from medical institutions across in 9 cities, China, were collected between 1 January 2017, and 31 December 2018. Air pollutants and meteorological data was obtained from provincial ecological environment monitoring stations in the study area. Conditional Poisson regression was employed to estimate the association between O3 and hospitalizations for depression, with data stratification by sex, age, weather, and economic level. RESULTS Short-term O3 exposure was positively associated with the number of depression-related hospitalizations (Relative risk: 1.04 [95% CI: 1.02, 1.05]). O3 had a significant effect on the risk of depression-related hospitalizations on warm days (P = 0.021, Relative risk: 1.05 [1.03, 1.08]). The high gross domestic product group was more likely to be affected by O3 exposure-associated depression-related hospitalizations (P = 0.005, Relative risk: 1.03 [1.01, 1.05]). CONCLUSIONS Short-term changes to O3 exposure may increase the risk of depression related hospitalizations, especially on warm days.
Collapse
Affiliation(s)
- Xi Gao
- HEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
- Department of Operations Management, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Jia Li
- HEOA Group, School of Management, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Xueli Zhang
- HEOA Group, Sichuan Province Health Commission, Chengdu, Sichuan Province, China
| | - Wanyanhan Jiang
- HEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Jiaqiang Liao
- HEOA Group, West China School of Public Health, Sichuan University, Chengdu, Sichuan Province, China
| | - Lian Yang
- HEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| |
Collapse
|
24
|
Nan B, Sun X, Yang S, Huang Q, Shen H. Integrative proteomics and metabolomics analysis of non-observable acute effect level PM 2.5 induced accumulative effects in AC16 cells. J Appl Toxicol 2023; 43:1613-1629. [PMID: 37278136 DOI: 10.1002/jat.4500] [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] [Received: 03/23/2023] [Revised: 05/08/2023] [Accepted: 05/22/2023] [Indexed: 06/07/2023]
Abstract
Chronic exposure to very low ambient PM2.5 has been linked to cardiovascular risks in epidemiological observation, which also brought doubts on its safety threshold. In this study, we approached this question by chronic exposure of AC16 to the non-observable acute effect level (NOAEL) PM2.5 5 μg/mL and its positive reference 50 μg/mL, respectively. The doses were respectively defined on the cell viabilities >95% (p = 0.354) and >90% (p = 0.004) when treated acutely (24 h). To mimic the long-term exposure, AC16 was cultured from the 1st to 30th generations and treated with PM2.5 24 h in every three generations. The integration of proteomic and metabolomic analysis was applied, and 212 proteins and 172 metabolites were significantly altered during the experiments. The NOAEL PM2.5 induced both dose- and time-dependent disruption, which showed the dynamic cellular proteomic response and oxidation accumulation, the main metabolomics changes were ribonucleotide, amino acid, and lipid metabolism that have involved in stressed gene expression, and starving for energy metabolism and lipid oxidation. In summary, these pathways interacted with the monotonically increasing oxidative stress and led to the accumulated damage in AC16 and implied that the safe threshold of PM2.5 may be non-existent when a long-term exposure occurred.
Collapse
Affiliation(s)
- Bingru Nan
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xia Sun
- Fujian Science and Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou, China
| | - Shijing Yang
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China
| | - Qingyu Huang
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
| | - Heqing Shen
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, Xiamen University, Xiamen, China
- Department of Obstetrics, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, China
| |
Collapse
|
25
|
Cai L, Li X, Qiu L, Wang Y, Wu L, Wu X, Xu R, Liu Y, Zhou Y. Age at menarche and asthma onset among US girls and women: findings from NHANES, 2001-2018. Ann Epidemiol 2023; 87:25-30. [PMID: 37598789 DOI: 10.1016/j.annepidem.2023.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/17/2023] [Accepted: 08/13/2023] [Indexed: 08/22/2023]
Abstract
PURPOSE To quantitatively estimate the association of age at menarche with the risk of childhood- and adult-onset asthma separately. METHODS A retrospective cohort study of 24,282 US girls and women was conducted using continuous National Health and Nutrition Examination Survey (NHANES) data from 2001 to 2018, and Cox proportional hazards regression models with censoring ages of 19 and 79 years were employed to separately estimate hazard ratios of childhood- and adult-onset asthma associated with age at menarche. RESULTS Each one-year increase in age at menarche was significantly associated with a 16% (hazard ratio [HR] = 0.84; 95% confidence interval [CI]: 0.77-0.91) decrease in the risk of childhood-onset asthma. Compared with age at menarche of 12-14 years, we observed a 56% (HR = 1.56; 95% CI: 1.19-2.04) increased risk of childhood-onset asthma for early menarche (age at menarche < 12 years) and a 40% (HR = 0.60; 95% CI: 0.32-1.10) decreased risk for late menarche (age at menarche ≥ 15 years). No significant association was noted between age at menarche and adult-onset asthma. CONCLUSIONS Early menarche may represent a risk factor for childhood-onset asthma, which indicates the need for timely and effective management of individuals with early menarche to prevent asthma.
Collapse
Affiliation(s)
- Li Cai
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Xun Li
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Lan Qiu
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Yaqi Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Li Wu
- Reproductive Medical Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaojie Wu
- Department of Respiratory and Critical Care Medicine, Wuhan No.1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Wuhan, Hubei, China
| | - Ruijun Xu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yun Zhou
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; School of Public Health, Guangzhou Medical University, Guangzhou, China.
| |
Collapse
|
26
|
Qiu T, Zang T, Fang Q, Xu Z, Cao Y, Fan X, Liu J, Zeng X, Li Y, Tu Y, Li G, Bai J, Huang J, Liu Y. Cumulative and lagged effects of varying-sized particulate matter exposure associates with toddlers' gut microbiota. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 336:122389. [PMID: 37595737 DOI: 10.1016/j.envpol.2023.122389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 07/30/2023] [Accepted: 08/14/2023] [Indexed: 08/20/2023]
Abstract
Particulate matter (PM) is an important component of air pollutants and is associated with various health risks. However, the impact of PM on toddlers' gut microbiota is rarely investigated. This study aimed to assess the cumulative and lagged effects of varying-sized PMs on toddlers' gut microbiota. We collected demographic information, stool samples, and exposure to PM from 36 toddlers aged 2-3 years. The toddlers were divided into warm season group and cooler season group according to the collection time of stool samples. The gut microbiota was processed and analyzed using 16S rRNA V3-V4 gene regions. The concentration of PM was calculated using China High Air Pollutants (CHAP) database. To assess the mixed effects of varying-sized PM, multiple-PM models were utilized. There were significant differences between the community composition, α- and β-diversity between two groups. In multiple-PM models, there was a significant effect of weight quantile sum (PM1, PM2.5, and PM10) on α-diversity indices. In weight quantile sum models, after adjusting for a priori confounders, we found a negative effect of weight quantile sum on Enterococcus (β = -0.134, 95% CI -0.263 to -0.006), positive effects of weight quantile sum on unclassified_f__Ruminococcaceae (β = 0.247, 95% CI 0.102 to 0.393), Ruminococcus_1 (β = 0.444, 95% CI 0.238 to 0.650), unclassified_f__Lachnospiraceae (β = 0.278, 95% CI 0.099 to 0.458), and Family_XIII_AD_3011_group (β = 0.254, 95% CI 0.086 to 0.422) in WSG and CSG. In lagged weight quantile sum models, the correlation between lag time PM levels and the gut microbiota showed seasonal trends, and weights of PM changed with lag periods. This is the first study to highlight that cumulative and lagged effects of PMs synergistically affect the diversities (α- and β-diversity) and abundance of the gut microbiota in toddlers. Further research is needed to explore the mediating mechanism of varying-sized PMs exposure on the gut microbiota in toddlers.
Collapse
Affiliation(s)
- Tianlai Qiu
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Tianzi Zang
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Qingbo Fang
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Zhihu Xu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, 100191, China
| | - Yanan Cao
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Xiaoxiao Fan
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Jun Liu
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Xueer Zeng
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Yanting Li
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Yiming Tu
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, 100191, China; Environmental Research Group, Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | - Jinbing Bai
- Emory University Nell Hodgson Woodruff School of Nursing, 1520 Clifton Road, Atlanta, GA, 30322, USA
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, 100191, China
| | - Yanqun Liu
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China.
| |
Collapse
|
27
|
Pat Y, Ogulur I, Yazici D, Mitamura Y, Cevhertas L, Küçükkase OC, Mesisser SS, Akdis M, Nadeau K, Akdis CA. Effect of altered human exposome on the skin and mucosal epithelial barrier integrity. Tissue Barriers 2023; 11:2133877. [PMID: 36262078 PMCID: PMC10606824 DOI: 10.1080/21688370.2022.2133877] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/23/2022] [Accepted: 08/27/2022] [Indexed: 10/24/2022] Open
Abstract
Pollution in the world and exposure of humans and nature to toxic substances is continuously worsening at a rapid pace. In the last 60 years, human and domestic animal health has been challenged by continuous exposure to toxic substances and pollutants because of uncontrolled growth, modernization, and industrialization. More than 350,000 new chemicals have been introduced to our lives, mostly without any reasonable control of their health effects and toxicity. A plethora of studies show exposure to these harmful substances during this period with their implications on the skin and mucosal epithelial barrier and increasing prevalence of allergic and autoimmune diseases in the context of the "epithelial barrier hypothesis". Exposure to these substances causes an epithelial injury with peri-epithelial inflammation, microbial dysbiosis and bacterial translocation to sub-epithelial areas, and immune response to dysbiotic bacteria. Here, we provide scientific evidence on the altered human exposome and its impact on epithelial barriers.
Collapse
Affiliation(s)
- Yagiz Pat
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
- Department of Medical Microbiology, Faculty of Medicine, Aydin Menderes University, Turkey
| | - Ismail Ogulur
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
| | - Duygu Yazici
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
| | - Yasutaka Mitamura
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
| | - Lacin Cevhertas
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
- Department of Medical Immunology, Institute of Health Sciences, Bursa Uludag University, Turkey
| | - Ozan C Küçükkase
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
| | - Sanne S Mesisser
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
| | - Mübeccel Akdis
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
| | - Kari Nadeau
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University and Division of Pulmonary, Allergy, and Critical Care Medicine, Stanford University, Stanford, CA, USA
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Cezmi A Akdis
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
- Christine Kühne-Center for Allergy Research and Education, Davos, Switzerland
| |
Collapse
|
28
|
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
|
29
|
Cao X, You X, Wang D, Qiu W, Guo Y, Zhou M, Chen W, Zhang X. Short-term effects of ambient ozone exposure on daily hospitalizations for circulatory diseases in Ganzhou, China: A time-series study. CHEMOSPHERE 2023; 327:138513. [PMID: 36990357 DOI: 10.1016/j.chemosphere.2023.138513] [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: 12/16/2022] [Revised: 03/01/2023] [Accepted: 03/24/2023] [Indexed: 06/19/2023]
Abstract
Adverse health effects of ambient ozone are getting widespread attention, but the evidence on the relationship between ozone levels and circulatory system diseases are limited and inconsistent. Daily data for ambient ozone levels and hospitalizations for total circulatory diseases and five subtypes in Ganzhou, China from January 1, 2016 to December 31, 2020 were collected. We constructed a generalized additive model with quasi-Poisson regression accounting for lag effects to estimate the associations between ambient ozone levels and the number of hospitalized cases of total circulatory diseases and five subtypes. The differences among gender, age, and season subgroups were furtherly assessed through stratified analysis. A total of 201,799 hospitalized cases of total circulatory diseases were included in the present study, including 94,844 hypertension (HBP), 28,597 coronary heart disease (CHD), 42,120 cerebrovascular disease (CEVD), 21,636 heart failure (HF), and 14,602 arrhythmia. Significantly positive associations were observed between ambient ozone levels and daily hospitalizations for total circulatory diseases and all subtypes except arrhythmia. Each 10 μg/m3 increase in ozone concentration, the risk of hospitalizations for total circulatory diseases, HBP, CHD, CEVD, and HF increased by 0.718% (95% confidence interval, 0.156%-1.284%), 0.956% (0.346%-1.570%), 0.499% (0.057%-0.943%), 0.386% (0.025%-0.748%), and 0.907% (0.118%-1.702%), respectively. The above associations remained significant after adjusting for other air pollutants. The risk of hospitalization for circulatory diseases was higher in warm season (May to October) and varied in gender and age subgroups. This study suggested that short-term exposure to ambient ozone may increase the risk of hospitalizations for circulatory diseases. Our findings reinforce the importance of reducing ambient ozone pollution levels for protecting public health.
Collapse
Affiliation(s)
- Xiuyu Cao
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Xiaojie You
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Dongming Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Weihong Qiu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - You Guo
- First Affiliated Hospital, Gannan Medical University, Ganzhou, China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, China; School of Public Health and Health Management, Gannan Medical University, Ganzhou, China
| | - Min Zhou
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
| | - Xiaokang Zhang
- First Affiliated Hospital, Gannan Medical University, Ganzhou, China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, China; School of Public Health and Health Management, Gannan Medical University, Ganzhou, China
| |
Collapse
|
30
|
Li Z, Su Q, Xu R, Peng J, Zhu X, Wei Y. Influence of different concentrations of ozone on the alteration of mitochondrial DNA copy numbers in human peripheral blood. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 873:162282. [PMID: 36801339 DOI: 10.1016/j.scitotenv.2023.162282] [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: 01/11/2023] [Revised: 02/05/2023] [Accepted: 02/12/2023] [Indexed: 06/18/2023]
Abstract
By now, O3 pollution has become a main environmental problem. O3 is a prevalent risk factor for many diseases, but the regulatory factors linking O3 and diseases remain ambiguous. Mitochondrial DNA (mtDNA) is the genetic material in mitochondria, which plays a key role in the production of respiratory ATP. Due to a lack of histone protection, mtDNA is easily damaged by ROS, and O3 is an important source to stimulate the production of endogenous ROS in vivo. Therefore, we logically speculate that O3 exposure can alter mtDNA copy number by the induction of ROS. In the present study, we performed a panel study of 65 MSc students at the Chinese research academy of environmental sciences (CRAES) with 3 rounds of follow-up visits from August 2021 to January 2022. We examined the mtDNA copy numbers in the peripheral blood of subjects using quantitative polymerase chain reaction. Linear mixed-effect (LME) model and stratified analysis were used to investigate the association between O3 exposure and mtDNA copy numbers. We found a dynamic process of the association between the concentration of O3 exposure and the mtDNA copy number in the peripheral blood. The lower concentration of O3 exposure did not affect the mtDNA copy number. As the concentration of O3 exposure increased, the mtDNA copy number also increased. While, when O3 exposure reached a certain concentration, a decrease in mtDNA copy number was found. This correlation between the concentration of O3 and the mtDNA copy number could be ascribed to the severity of cellular damage induced by O3 exposure. Our results provide a new perspective for the discovery of a biomarker of O3 exposure and health response, as well as for the prevention and treatment of adverse health effects caused by different concentrations of O3.
Collapse
Affiliation(s)
- Zhigang Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Qiaoqiao Su
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Rongrong Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, China
| | - Jianhao Peng
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Xiaojing Zhu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Yongjie Wei
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, China.
| |
Collapse
|
31
|
Yuan Y, Wang K, Wang Z, Zheng H, Ma Z, Liu R, Hu K, Yang Z, Zhang Y. Ambient ozone exposure and depression among middle-aged and older adults: Nationwide longitudinal evidence in China. Int J Hyg Environ Health 2023; 251:114185. [PMID: 37167761 DOI: 10.1016/j.ijheh.2023.114185] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 04/28/2023] [Accepted: 05/03/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND Epidemiological studies have linked long-term ozone (O3) exposure with depression in developed countries. However, available literature is sparse and exists great heterogeneities. We aimed to investigate the association of long-term O3 exposure with depression among Chinese middle-aged and older adults. METHODS We designed a repeated measurement study based on longitudinal data from four waves (2011, 2013, 2015, and 2018) of the China Health and Retirement Longitudinal Study (CHARLS). Annual mean O3 concentrations assessed through machine learning-based spatiotemporal models were assigned to each participant at city level. Depression score was measured using the 10-item Center for Epidemiologic Studies Depression scale (CES-D-10), with scores above the cut-off point of ten defined as depressive symptom. Mixed-effects models were used to evaluate the impact of O3 on depression score and depressive symptom, and quantify the concentration-response (C-R) relationships. Subgroup analyses were performed to examine the potential effect modifications. RESULTS A total of 19,582 participants with 60,125 visits were included in our analysis, with mean depression score of 8.1 (standard deviation: 6.3). Multivariable-adjusted mixed-effects model estimated a 6.34% (95% confidence interval [CI]: 3.34%, 9.43%) increase in depression score and an odds ratio (OR) of 1.29 (95% CI: 1.16, 1.45) for depressive symptom associated with per 10-μg/m3 rise in annual mean O3 exposure. Significantly elevated risks were identified only at high concentrations (approximately ≥90 μg/m3). Participants who suffered from chronic diseases had a significant increased risk of depression (% Change in depression score: 8.42% [95% CI: 4.79%, 12.17%], and OR: 1.42 [95% CI: 1.24, 1.62]), and an evident effect modification was identified for depressive symptom (P = 0.01). FINDINGS Our study provided novel evidence that long-term O3 exposure could be a risk factor for depression among Chinese middle-aged and older adults. Our findings may have significant implications for formulating policies in reducing disease burden of depression by controlling air pollution.
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
| | - 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
| | - Zhen Wang
- Department of Pediatrics, Affiliated Taihe Hospital of Hubei University of Medicine, Shiyan, 442000, Hubei, China.
| | - Hao Zheng
- Department of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, Jiangsu, China
| | - Zongwei Ma
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210093, Jiangsu, China
| | - Riyang Liu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210093, Jiangsu, China
| | - Kejia Hu
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou, 310058, China
| | - Zhiming Yang
- School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, 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
|
32
|
Ma H, Shu Q, Wang P, Qin R, Li S, Xu H. Formaldehyde exacerbates asthma in mice through the potentiation of HIF-1α-mediated pro-inflammatory responses in pulmonary macrophages. Chem Biol Interact 2023; 379:110514. [PMID: 37105513 DOI: 10.1016/j.cbi.2023.110514] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 04/05/2023] [Accepted: 04/25/2023] [Indexed: 04/29/2023]
Abstract
Exposure to formaldehyde (FA) has been indicated to be positively correlated with increased incidence of allergic asthma in many epidemiological and experimental studies. However, few studies have ever addressed the molecular basis of the correlation. In the present study, it was found that inhaling 2.0 mg/m3 FA for 2 weeks could exacerbate the pulmonary inflammation and mucus over-accumulation in OVA-induced murine asthmatic model. The pro-inflammatory cytokines, such as IL-1β, TNF-α, IL-6 and IL-8, were increased in lung and serum of FA-exposed asthmatic mice. The contribution of HIF-1α signaling in FA-exacerbated allergic asthma was confirmed by bioinformatic analysis. HIF-1α and its downstream proteins, which are known as mediators of glycolysis, were found to be upregulated by 50 μM FA, and the FA-enhanced of glycolysis was reversed by inhibition of HIF-1α with PX-478 in vitro and YC-1 in vivo. Furthermore, it was confirmed that inhibition of HIF-1α signaling could restrain the macrophagic inflammatory responses and asthma exacerbation induced by FA. Collectively, these results revealed that FA could exacerbate asthma through the potentiation of HIF-1α-mediated inflammatory responses in macrophages, which also indicated the universal roles of FA-triggered macrophage metabolic and functional alterations in inflammatory or allergic diseases.
Collapse
Affiliation(s)
- Huijuan Ma
- Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism and Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
| | - Qi Shu
- Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism and Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
| | - Peiyao Wang
- Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism and Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
| | - Ruilin Qin
- Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism and Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
| | - Sijia Li
- Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism and Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
| | - Huan Xu
- Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism and Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China.
| |
Collapse
|
33
|
Li M, Edgell RC, Wei J, Li H, Qian ZM, Feng J, Tian F, Wang X, Xin Q, Cai M, Lin H. Air pollution and stroke hospitalization in the Beibu Gulf Region of China: A case-crossover analysis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 255:114814. [PMID: 36965278 PMCID: PMC10107400 DOI: 10.1016/j.ecoenv.2023.114814] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 03/15/2023] [Accepted: 03/17/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND The relationship between air pollution and stroke has been extensively studied, however, the evidence regarding the association between air pollution and hospitalization due to stroke and its subtypes in coastal areas of China is limited. OBJECTIVE To estimate the associations between air pollution and hospitalizations of stroke and its subtypes in the Beibu Gulf Region of China. METHODS We conducted a time-stratified case-crossover study in 15 cities in Beibu Gulf Region in China from 2013 to 2016. Exposures to PM1, PM2.5, PM10, SO2, NO2, O3, and CO on the case and control days were assessed at residential addresses using bilinear interpolation. Conditional logistic regressions were constructed to estimate city-specific associations adjusting for meteorological factors and public holidays. Meta-analysis was further conducted to pool all city-level estimates. RESULTS There were 271,394 case days and 922,305 control days. The odds ratios (ORs) for stroke hospitalizations associated with each interquartile range (IQR) increase in 2-day averages of SO2 (IQR: 10.8 µg/m3), NO2 (IQR: 11.2 µg/m3), and PM10 (IQR: 37 µg/m3) were 1.047 (95 % CI [confidence interval]: 1.015-1.080), 1.040 (95 % CI: 1.027-1.053), and 1.018 (95 % CI: 1.004-1.033), respectively. The associations with hospitalizations of ischemic stroke were significant for all seven pollutants, while the association with hemorrhagic stroke was significant only for CO. The associations of SO2, NO2, and O3 with stroke hospitalization were significantly stronger in the cool season. CONCLUSIONS Short-term increase in SO2, NO2, and PM10 might be important triggers of stroke hospitalization. All seven air pollutants were associated with ischemic stroke hospitalization, while only CO was associated with hemorrhagic stroke hospitalization. These results should be considered in public health policy.
Collapse
Affiliation(s)
- Meijun Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Randall C Edgell
- Department of Neurology, School of Medicine, Saint Louis University, 1008 South Spring, Saint Louis, MO 63110, USA
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park 20740, USA
| | - Haopeng Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, 3545 Lafayette Avenue, Saint Louis, MO 63104, USA
| | - Jin Feng
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Fei Tian
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiaojie Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Qinghua Xin
- Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 271016, China.
| | - Miao Cai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| |
Collapse
|
34
|
Su B, Liu C, Chen L, Wu Y, Li J, Zheng X. Long-term exposure to PM 2.5 and O 3 with cardiometabolic multimorbidity: Evidence among Chinese elderly population from 462 cities. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 255:114790. [PMID: 36948004 DOI: 10.1016/j.ecoenv.2023.114790] [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: 01/14/2023] [Revised: 03/12/2023] [Accepted: 03/14/2023] [Indexed: 06/18/2023]
Abstract
Cardiometabolic multimorbidity (CMM) refers to the presence of multiple cardiovascular and metabolic diseases (CMDs), such as hypertension, diabetes, and cardio-cerebrovascular diseases (CCVD), in the same individual, and has emerge as a significant global health concern due to population aging. Although previous research has demonstrated the association between cardiovascular and metabolic diseases and air pollutants, evidence on the link between CMM and air pollution exposure among Chinese older adults is limited. To address this research gap, we conducted a national representative survey of 222,179 adults aged 60 and older to investigate the epidemiology of CMM and its association with long-term exposure to PM2.5 and O3 in China's elderly population. We found that the prevalence of CMM among Chinese older adults was 16.9%, and hypertension and CCVD were the most common CMM cluster (10.8%). After adjusting for confounding variables, we observed a significant positive association between PM2.5 exposure and the prevalence of hypertension, diabetes, and CCVD, with a respective excess risk increase of 3.2%, 3.6%, and 5.5% for every 10-unit increase. Moreover, every 10-unit increase in PM2.5 was linked to a higher risk of hypertension and diabetes (2.2%), hypertension and CCVD (5.4%), diabetes and CCVD (5.6%), and hypertension, diabetes, and CCVD combined (7.6%). We also found a U-shaped curve relationship between O3 exposure and the occurrence of hypertension, diabetes, and CCVD, as well as different subtypes of CMM, with the lowest risk of O3 exposure was observed near 75-80 μg/m3. Furthermore, we identified that female and rural residents are more vulnerable to the health risks of air pollution than male and urban residents. Given the increasing aging of the population and rising prevalence of multimorbidity, policymakers should focus more attention on the female and rural elderly population to prevent and control CMM. This study provides compelling evidence that reducing air pollution levels can be an effective strategy to prevent and manage CMM among older adults.
Collapse
Affiliation(s)
- Binbin Su
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, People's Republic of China
| | - Chen Liu
- Peking University Third Hospital, Beijing, People's Republic of China
| | - Li Chen
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, People's Republic of China
| | - Yu Wu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, People's Republic of China
| | - Jun Li
- Institute of Quantitative and Technological Economics, Chinese Academy of Social Sciences, Beijing, People's Republic of China
| | - Xiaoying Zheng
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, People's Republic of China.
| |
Collapse
|
35
|
Feng J, Cao D, Zheng D, Qian ZM, Huang C, Shen H, Liu Y, Liu Q, Sun J, Jiao G, Yang X, McMillin SE, Wang C, Lin H, Zhang X, Zhang S. Cold spells linked with respiratory disease hospitalization, length of hospital stay, and hospital expenses: Exploring cumulative and harvesting effects. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 863:160726. [PMID: 36502973 DOI: 10.1016/j.scitotenv.2022.160726] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 12/02/2022] [Accepted: 12/02/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Previous studies have revealed the relationship between cold spells and morbidity and mortality due to respiratory diseases, while the detrimental effects of cold spells on the length of hospital stay and hospitalization expenses remain largely unknown. METHODS We collected hospitalization data for respiratory diseases in 11 cities of Shanxi, China during 2017-2019. In each case, exposure to meteorological variables and air pollution was estimated by the bilinear interpolation approach and inverse distance weighting method, respectively, and then averaged at the city level. Cold spells were defined as the daily mean temperature below the 10th, 7.5th, or 5th percentiles for at least 2 to 5 consecutive days. We applied distributed lag non-linear models combined with generalized additive models to assess cumulative effects and harvesting effects. RESULTS There were significant associations between cold spells and hospital admissions, length of hospital stay, and hospital expenses for respiratory diseases. Compared with the non-cold spell period, the overall (lag 0-21) cumulative risk of hospitalization for total respiratory diseases was 1.232 (95 % CI: 1.090, 1.394) on cold spell days, and the increased length of hospital stay and hospitalization expenses were 112.793 (95 % CI: 10.755, 214.830) days and 127.568 (95 % CI: 40.513, 214.624) thousand Chinese yuan. The overall cumulative risks of cold spells on total respiratory diseases and pneumonia were statistically significant. We further observed harvesting effects in the associations between cold spells and hospital admission, length of hospital stay, and hospitalization expenses for respiratory diseases. CONCLUSIONS Cumulative cold-spell exposure for up to three weeks is associated with hospitalization, length of hospital stay, and hospital expenses for respiratory diseases. The observed harmful effects of cold spells on respiratory diseases can be partly attributable to harvesting effects.
Collapse
Affiliation(s)
- Jin Feng
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Dawei Cao
- NHC Key Laboratory of Pneumoconiosis, Shanxi Key Laboratory of Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan 030000, Shanxi, China
| | - Dashan Zheng
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, 3545 Lafayette Avenue, Saint Louis, MO 63104, USA
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing 102200, China; Institute of Healthy China, Tsinghua University, Beijing 102200, China
| | - Huiqing Shen
- NHC Key Laboratory of Pneumoconiosis, Shanxi Key Laboratory of Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan 030000, Shanxi, China
| | - Yi Liu
- NHC Key Laboratory of Pneumoconiosis, Shanxi Key Laboratory of Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan 030000, Shanxi, China
| | - Qiyong Liu
- Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102200, China
| | - Jimin Sun
- Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310000, Zhejiang, China
| | - Guangyuan Jiao
- Department of Ideological and Political Education, School of Marxism, Capital Medical University, Beijing 102200, China
| | - Xiaoran Yang
- Department of Standards and Evaluation, Beijing Municipal Health Commission Policy Research Center, Beijing Municipal health Commission Information Center, Beijing 102200, China
| | - Stephen Edward McMillin
- School of Social Work, Saint Louis University, Tegeler Hall, 3550 Lindell Boulevard, St. Louis, MO 63103, USA
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, Henan, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Xinri Zhang
- NHC Key Laboratory of Pneumoconiosis, Shanxi Key Laboratory of Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan 030000, Shanxi, China.
| | - Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
| |
Collapse
|
36
|
Song J, Qiu W, Huang X, Guo Y, Chen W, Wang D, Zhang X. Association of ambient carbon monoxide exposure with hospitalization risk for respiratory diseases: A time series study in Ganzhou, China. Front Public Health 2023; 11:1106336. [PMID: 36866098 PMCID: PMC9972102 DOI: 10.3389/fpubh.2023.1106336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 01/23/2023] [Indexed: 02/16/2023] Open
Abstract
Background Ambient carbon monoxide (CO) exposure is associated with increased mortality and hospitalization risk for total respiratory diseases. However, evidence on the risk of hospitalization for specific respiratory diseases from ambient CO exposure is limited. Methods Data on daily hospitalizations for respiratory diseases, air pollutants, and meteorological factors from January 2016 to December 2020 were collected in Ganzhou, China. A generalized additive model with the quasi-Poisson link and lag structures was used to estimate the associations between ambient CO concentration and hospitalizations of total respiratory diseases, asthma, chronic obstructive pulmonary disease (COPD), upper respiratory tract infection (URTI), lower respiratory tract infection (LRTI), and influenza-pneumonia. Possible confounding co-pollutants and effect modification by gender, age, and season were considered. Results A total of 72,430 hospitalized cases of respiratory diseases were recorded. Significant positive exposure-response relationships were observed between ambient CO exposure and hospitalization risk from respiratory diseases. For each 1 mg/m3 increase in CO concentration (lag0-2), hospitalizations for total respiratory diseases, asthma, COPD, LRTI, and influenza-pneumonia increased by 13.56 (95% CI: 6.76%, 20.79%), 17.74 (95% CI: 1.34%, 36.8%), 12.45 (95% CI: 2.91%, 22.87%), 41.25 (95% CI: 18.19%, 68.81%), and 13.5% (95% CI: 3.41%, 24.56%), respectively. In addition, the associations of ambient CO with hospitalizations for total respiratory diseases and influenza-pneumonia were stronger during the warm season, while women were more susceptible to ambient CO exposure-associated hospitalizations for asthma and LRTI (all P < 0.05). Conclusion In brief, significant positive exposure-response relationships were found between ambient CO exposure and hospitalization risk for total respiratory diseases, asthma, COPD, LRTI, and influenza-pneumonia. Effect modification by season and gender was found in ambient CO exposure-associated respiratory hospitalizations.
Collapse
Affiliation(s)
- Jiahao Song
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Weihong Qiu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuezan Huang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - You Guo
- First Affiliated Hospital, Gannan Medical University, Ganzhou, China,Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, China,School of Public Health and Health Management, Gannan Medical University, Ganzhou, Jiangxi, China
| | - Weihong Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Dongming Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,*Correspondence: Dongming Wang ✉
| | - Xiaokang Zhang
- First Affiliated Hospital, Gannan Medical University, Ganzhou, China,Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, China,School of Public Health and Health Management, Gannan Medical University, Ganzhou, Jiangxi, China,Xiaokang Zhang ✉
| |
Collapse
|
37
|
Xu R, Li Z, Qian N, Qian Y, Wang Z, Peng J, Zhu X, Guo C, Li X, Xu Q, Wei Y. Air pollution exposure and the risk of macrosomia: Identifying specific susceptible months. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 859:160203. [PMID: 36403833 DOI: 10.1016/j.scitotenv.2022.160203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 11/08/2022] [Accepted: 11/11/2022] [Indexed: 06/16/2023]
Abstract
Birth weight is an important indicator of future growth and development for newborns. Few studies investigated the potential effects of air pollutants on macrosomia and their susceptible windows. We included 38,971 singleton full-term births from Beijing HaiDian Maternal and Child Health Hospital between 2014 and 2018, and assessed the associations of air pollutants exposure during preconception and pregnancy with macrosomia as well as the corresponding susceptible windows. The concentrations of air pollutants (PM2.5, PM10, SO2, NO2, CO and O3) for participants were calculated by the data from the nearest monitoring stations. Distributed lag models (DLM) incorporating logistic regression models were used to estimate the associations between air pollutants exposure during the 3 months before conception and pregnancy period and the risk of macrosomia, identifying susceptible windows of air pollutants. Weighted quantile sum (WQS) regression was applied to estimate the joint effect of air pollutants. A 10 μg/m3 increase in PM2.5 exposure from 3rd to 8th gestational month was positively associated with the risk of macrosomia, with the strongest effect in the 6th month (OR = 1.010, 95 % CI: 1.002-1.019). For a 10 μg/m3 increase in SO2, the windows of significant exposure were from the 1st preconception month to the 3rd gestational month, with the strongest effect in the 2nd month (OR = 1.030, 95 % CI: 1.010-1.049). We also observed the significant positive associations were in the 5th-8th gestational months for PM10, the 8th-9th gestational months for NO2 and the 3rd-7th gestational months for CO respectively. WQS regression also indicated a positive association between co-exposure to air pollutants and macrosomia. Our results suggest air pollution exposure is associated with increased risk of macrosomia. The windows of exposure for susceptibility to the risk of macrosomia vary between air pollutants. The susceptible exposure windows were middle and late pregnancy for PM, CO and NO2, while for SO2, early pregnancy is the window of vulnerability. Our findings provide the evidence that air pollution exposure is an independent risk factor for macrosomia and a basis for targeted environment policy.
Collapse
Affiliation(s)
- Rongrong Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, China
| | - Zhigang Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Nianfeng Qian
- Hai Dian Maternal & Child Health Hospital, Beijing, China
| | - Yan Qian
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Zhanshan Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Jianhao Peng
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Xiaojing Zhu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Chen Guo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Xiaoqian Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Qiujin Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, China
| | - Yongjie Wei
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, China.
| |
Collapse
|
38
|
Feng C, Yu B, Fei T, Jia P, Dou Q, Yang S. Association between residential greenness and all-cause mortality and the joint mediation effect of air pollutants among old people with disability: A prospective cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:159604. [PMID: 36272487 DOI: 10.1016/j.scitotenv.2022.159604] [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: 07/17/2022] [Revised: 10/17/2022] [Accepted: 10/17/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Residential greenness offers health benefits to old people, but evidence of its association with the health of old people with disability is scarce. Moreover, due to the limited mobility of this vulnerable population, air pollutants may play an indispensable mediating role in that association, which however remains understudied. OBJECTIVES This study aimed to investigate the association between residential greenness and all-cause mortality risk and the joint mediation effect of air pollutants among old people with disability. METHODS A total of 34,075 old people with disability were included in the Chengdu Long-term Care Insurance cohort. Participants' residential greenness exposure was measured by an enhanced vegetation index within the 500 m buffer zone (EVI500m). Causal mediation analysis was conducted to assess the total effect (TE) of residential greenness and the natural indirect effect (NIE) through PM2.5, CO, NO2, SO2, and O3 on all-cause mortality. RESULTS The TE of EVI500m on the all-cause mortality risk in overall participants showed negative, which, decreased from the 2nd quartile (HR = 0.93, 95 % CI: 0. 91, 0.95) to the 4th quartile (HR = 0.81, 95 % CI: 0.76, 0.85); the NIE through the five air pollutants also decreased from the 2nd quartile (HR = 0.96, 95 % CI: 0.95, 0.98) to the 4th quartile (HR = 0.90, 95 % CI: 0.88, 0.93), with the proportion mediated decreased from 48 % to 44 %. The stronger TE or NIE were observed in participants aged <80 years old, men, with mild-moderate disability, and having outdoor experience every week. CONCLUSION Exposure to residential greenness was associated with a decreased risk of mortality, partially through the pathways of air pollutants, which varied by age, sex, degree of disability, and frequency of weekly outdoors. Our findings would provide evidence to develop aging-friendly cities.
Collapse
Affiliation(s)
- Chuanteng Feng
- Institute for Disaster Management and Reconstruction, Sichuan University-The Hong Kong Polytechnic University, Chengdu, China; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University-The Hong Kong Polytechnic University, Chengdu, China; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Teng Fei
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
| | - Peng Jia
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China
| | - Qingyu Dou
- National Clinical Research Center of Geriatrics, Geriatric Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
| | - Shujuan Yang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China; Department of Health Management Center, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, China.
| |
Collapse
|
39
|
Bauer SE, Rhoads E, Wall BL, Sanders DB. The Effects of Air Pollution in Pediatric Respiratory Disease. Am J Respir Crit Care Med 2023; 207:346-348. [PMID: 36154892 DOI: 10.1164/rccm.202107-1583rr] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Affiliation(s)
- Sarah E Bauer
- Division of Pediatric Pulmonology, Allergy, and Sleep Medicine, Riley Hospital for Children, Indianapolis, Indiana; and.,Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Eli Rhoads
- Division of Pediatric Pulmonology, Allergy, and Sleep Medicine, Riley Hospital for Children, Indianapolis, Indiana; and.,Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Brittany L Wall
- Division of Pediatric Pulmonology, Allergy, and Sleep Medicine, Riley Hospital for Children, Indianapolis, Indiana; and.,Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Don B Sanders
- Division of Pediatric Pulmonology, Allergy, and Sleep Medicine, Riley Hospital for Children, Indianapolis, Indiana; and.,Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana
| |
Collapse
|
40
|
Lin C, Jiang W, Gao X, He Y, Li J, Zhou C, Yang L. Attributable risk and economic burden of pneumonia among older adults admitted to hospital due to short-term exposure to airborne particulate matter: a time-stratified case-crossover study from China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:45342-45352. [PMID: 36705825 DOI: 10.1007/s11356-023-25530-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 01/18/2023] [Indexed: 01/28/2023]
Abstract
Many studies have proven the relationship between air pollutants and respiratory diseases, but few studies have assessed the impacts of air particulate matter exposure on older patients with pneumonia. This study aimed to reveal the impacts of short-term exposure to air particulate matter on the daily number of older adult patients hospitalized due to pneumonia and calculate the economic costs attributable to this exposure. We collected inpatient data from 9 city hospitals in Sichuan Province, China, from January 1, 2018, to December 31, 2019, and calculated odds ratios and 95% confidence intervals using a time-stratified case-crossover study design and an attributable risk model to calculate the economic burden due to particulate matter pollution. It was found that for every 10 μg/m3 increase in PM2.5 and PM10 concentrations, the daily number of older adult pneumonia inpatients increased by 1.5% (95% CI: 1.010-1.021) and 1.0% (95% CI: 1.006-1.014), respectively. Those 65 ~ 79 years old were more susceptible to air particulate pollutants (P < 0.05). During the study period, the total hospitalization costs and out-of-pocket expenses attributable to PM2.5 and PM10 exposure were 44.60 million CNY (6.22%) and 16.03 million CNY (6.21%), respectively, with PM2.5 being the primary influencing factor. This study revealed the relationship between particulate matter pollution and pneumonia among older adults. The role of policies to limit particulate matter concentrations in reducing disease burden among older adults can be further explored.
Collapse
Affiliation(s)
- Chengwei Lin
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, Sichuan, China
| | - Wanyanhan Jiang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, Sichuan, China
| | - Xi Gao
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, Sichuan, China
| | - Yi He
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, Sichuan, China
| | - Jia Li
- School of Management, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, Sichuan, China
| | - Chengchao Zhou
- School of Public Health, Shandong University, Jinan, 250100, Shandong, China
| | - Lian Yang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, Sichuan, China.
| |
Collapse
|
41
|
Cai M, Wei J, Zhang S, Liu W, Wang L, Qian Z, Lin H, Liu E, McMillin SE, Cao Y, Yin P. Short-term air pollution exposure associated with death from kidney diseases: a nationwide time-stratified case-crossover study in China from 2015 to 2019. BMC Med 2023; 21:32. [PMID: 36694165 PMCID: PMC9875429 DOI: 10.1186/s12916-023-02734-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 01/11/2023] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Long-term exposure to air pollution has been associated with the onset and progression of kidney diseases, but the association between short-term exposure to air pollution and mortality of kidney diseases has not yet been reported. METHODS A nationally representative sample of 101,919 deaths from kidney diseases was collected from the Chinese Center for Disease Control and Prevention from 2015 to 2019. A time-stratified case-crossover study was applied to determine the associations. Satellite-based estimates of air pollution were assigned to each case and control day using a bilinear interpolation approach and geo-coded residential addresses. Conditional logistic regression models were constructed to estimate the associations adjusting for nonlinear splines of temperature and relative humidity. RESULTS Each 10 µg/m3 increment in lag 0-1 mean concentrations of air pollutants was associated with a percent increase in death from kidney disease: 1.33% (95% confidence interval [CI]: 0.57% to 2.1%) for PM1, 0.49% (95% CI: 0.10% to 0.88%) for PM2.5, 0.32% (95% CI: 0.08% to 0.57%) for PM10, 1.26% (95% CI: 0.29% to 2.24%) for NO2, and 2.9% (95% CI: 1.68% to 4.15%) for SO2. CONCLUSIONS: Our study suggests that short-term exposure to ambient PM1, PM2.5, PM10, NO2, and SO2 might be important environmental risk factors for death due to kidney diseases in China.
Collapse
Affiliation(s)
- Miao Cai
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, 20740, USA
| | - Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
| | - Wei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Zhengmin Qian
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, St. Louis, 63103, USA
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
| | - Echu Liu
- Department of Health Management and Policy, College for Public Health and Social Justice, Saint Louis University, St. Louis, MO, 63103, USA
| | - Stephen Edward McMillin
- School of Social Work, College for Public Health and Social Justice, Saint Louis University, St. Louis, MO, 63103, USA
| | - Yu Cao
- Information Center, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
| |
Collapse
|
42
|
Xiong X, Wei Y, Lam HCY, Wong CKH, Lau SYF, Zhao S, Ran J, Li C, Jiang X, Yue Q, Cheng W, Wang H, Wang Y, Chong KC. Association between cold weather, influenza infection, and asthma exacerbation in adults in Hong Kong. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:159362. [PMID: 36240934 DOI: 10.1016/j.scitotenv.2022.159362] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 09/13/2022] [Accepted: 10/07/2022] [Indexed: 06/16/2023]
Abstract
Despite a conspicuous exacerbation of asthma among patients hospitalized due to influenza infection, no study has attempted previously to elucidate the relationship between environmental factors, influenza activity, and asthma simultaneously in adults. In this study, we examined this relationship using population-based hospitalization records over 22 years. Daily numbers of hospitalizations due to asthma in adults of 41 public hospitals in Hong Kong during 1998-2019 were obtained. The data were matched with meteorological records and air pollutant concentrations. We used type-specific and all-type influenza-like illness plus (ILI+) rates as proxies for seasonal influenza activity. Quasi-Poisson generalized additive models together with distributed-lag non-linear models were used to examine the association. A total of 212,075 hospitalization episodes due to asthma were reported over 22 years. The cumulative adjusted relative risk (ARR) of asthma hospitalizations reached 1.15 (95 % confidence interval [CI], 1.12-1.18) when the ILI+ total rate increased from zero to 20.01 per 1000 consultations. Compared with the median temperature, a significantly increased risk of asthma hospitalization (cumulative ARR = 1.10, 95 % CI, 1.05-1.15) was observed at the 5th percentile of temperature (i.e., 14.6 °C). Of the air pollutants, oxidant gas was significantly associated with asthma, but only at its extreme level of concentrations. In conclusion, cold conditions and influenza activities are risk factors to asthma exacerbation in adult population. Influenza-related asthma exacerbation that appeared to be more common in the warm and hot season, is likely to be attributable to influenza A/H3N2. The heavy influence of both determinants on asthma activity implies that climate change may complicate the asthma burden.
Collapse
Affiliation(s)
- Xi Xiong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong
| | - Yuchen Wei
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong; Centre for Health Systems and Policy Research, The Chinese University of Hong Kong, Hong Kong
| | - Holly Ching Yu Lam
- National Heart & Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong; Department of Family Medicine and Primary Care, The University of Hong Kong, Hong Kong
| | - Steven Yuk Fai Lau
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Shi Zhao
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong; Clinical Trials and Biostatistics Laboratory, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Jinjun Ran
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Conglu Li
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Xiaoting Jiang
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Qianying Yue
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Wei Cheng
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang province, China
| | - Huwen Wang
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Yawen Wang
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Ka Chun Chong
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong; Centre for Health Systems and Policy Research, The Chinese University of Hong Kong, Hong Kong; Clinical Trials and Biostatistics Laboratory, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.
| |
Collapse
|
43
|
He Y, Jiang W, Gao X, Lin C, Li J, Yang L. Short-term effects and economic burden of air pollutants on acute lower respiratory tract infections in children in Southwest China: a time-series study. Environ Health 2023; 22:6. [PMID: 36641448 PMCID: PMC9840265 DOI: 10.1186/s12940-023-00962-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 01/07/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND There are few studies on the effects of air pollutants on acute lower respiratory tract infections (ALRI) in children. Here, we investigated the relationship of fine particulate matter (PM2.5), inhalable particulate matter (PM10), sulfur dioxide (SO2), and nitrogen dioxide (NO2) with the daily number of hospitalizations for ALRI in children in Sichuan Province, China, and to estimate the economic burden of disease due to exposure to air pollutants. METHODS We collected records of 192,079 cases of childhood ALRI hospitalization between January 1, 2017 and December 31, 2018 from nine municipal/prefecture medical institutions as well as the simultaneous meteorological and air pollution data from 183 monitoring sites in Sichuan Province. A time series-generalized additive model was used to analyze exposure responses and lagged effects while assessing the economic burden caused by air pollutant exposure after controlling for long-term trends, seasonality, day of the week, and meteorological factors. RESULTS Our single-pollutant model shows that for each 10 μg/m3 increase in air pollutant concentration (1 μg/m3 for SO2), the effect estimates of PM2.5, PM10, SO2, and NO2 for pneumonia reached their maximum at lag4, lag010, lag010, and lag07, respectively, with relative risk (RR) values of 1.0064 (95% CI, 1.0004-1.0124), 1.0168(95% CI 1.0089-1.0248), 1.0278 (95% CI 1.0157-1.0400), and 1.0378 (95% CI, 1.0072-1.0692). By contrast, the effect estimates of PM2.5, PM10, SO2, and NO2 for bronchitis all reached their maximum at lag010, with RRs of 1.0133 (95% CI 1.0025-1.0242), 1.0161(95% CI 1.0085-1.0238), 1.0135 (95% CI 1.0025-1.0247), and 1.1133(95% CI 1.0739-1.1541). In addition, children aged 5-14 years were more vulnerable to air pollutants than those aged 0-4 years (p < 0.05). According to the World Health Organization's air quality guidelines, the number of ALRI hospitalizations attributed to PM2.5, PM10, and NO2 pollution during the study period was 7551, 10,151, and 7575, respectively, while the incurring economic burden was CNY 2847.06, 3827.27, and 2855.91 million. CONCLUSION This study shows that in Sichuan Province, elevated daily average concentrations of four air pollutants lead to increases in numbers of childhood ALRI hospitalizations and cause a serious economic burden.
Collapse
Affiliation(s)
- Yi He
- HEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, No. 1166 Liutai Road, Chengdu, China
| | - Wanyanhan Jiang
- HEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, No. 1166 Liutai Road, Chengdu, China
| | - Xi Gao
- HEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, No. 1166 Liutai Road, Chengdu, China
| | - Chengwei Lin
- HEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, No. 1166 Liutai Road, Chengdu, China
| | - Jia Li
- HEOA Group, School of Management, Chengdu University of Traditional Chinese Medicine, No. 1166 Liutai Road, Chengdu, China
| | - Lian Yang
- HEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, No. 1166 Liutai Road, Chengdu, China
| |
Collapse
|
44
|
Lu J, Wu K, Ma X, Wei J, Yuan Z, Huang Z, Fan W, Zhong Q, Huang Y, Wu X. Short-term effects of ambient particulate matter (PM 1, PM 2.5 and PM 10) on influenza-like illness in Guangzhou, China. Int J Hyg Environ Health 2023; 247:114074. [PMID: 36436470 DOI: 10.1016/j.ijheh.2022.114074] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 11/09/2022] [Accepted: 11/11/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Particulate matter (PM) has been linked to respiratory infections in a growing body of evidence. Studies on the relationship between ILI (influenza-like illness) and PM1 (particulate matter with aerodynamic diameter ≤1 μm) are, however, scarce. The purpose of this study was to investigate the effects of PM on ILI in Guangzhou, China. METHODS Daily ILI cases, air pollution records (PM1, PM2.5, PM10 and gaseous pollutants), and metrological data between 2014 and 2019 were gathered from Guangzhou, China. To estimate the risk of ILI linked with exposure to PM pollutants, a quasi-Poisson regression was used. Additionally, subgroup analyses stratified by gender, age and season were carried out. RESULTS For each 10 μg/m3 increase of PM1 and PM2.5 over the past two days (lag01), and PM10 over the past three days (lag02), the relative risks (RR) of ILI were 1.079 (95% confidence interval [CI]: 1.050, 1.109), 1.044 (95% CI: 1.027, 1.062) and 1.046 (95% CI: 1.032, 1.059), respectively. The estimated risks for men and women were substantially similar. The effects of PM pollutants between male and female were basically equivalent. People aged 15-24 years old were more susceptive to PM pollutants. CONCLUSIONS It implies that PM1, PM2.5 and PM10 are all risk factors for ILI, the health impacts of PM pollutants vary by particle size. Reducing the concentration of PM1 needs to be considered when generating a strategy to prevent ILI.
Collapse
Affiliation(s)
- Jianyun Lu
- Guangzhou Baiyun Center for Disease Control and Prevention, China
| | - Keyi Wu
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Nos.1023-1063, Shatai South Road, Baiyun District, 510515, Guangzhou, China
| | - Xiaowei Ma
- Guangzhou Center for Disease Control and Prevention, Guangzhou City, 510440, Guangdong, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, 20740, USA
| | - Zelin Yuan
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Nos.1023-1063, Shatai South Road, Baiyun District, 510515, Guangzhou, China
| | - Zhiwei Huang
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Nos.1023-1063, Shatai South Road, Baiyun District, 510515, Guangzhou, China
| | - Weidong Fan
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Nos.1023-1063, Shatai South Road, Baiyun District, 510515, Guangzhou, China
| | - Qi Zhong
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Nos.1023-1063, Shatai South Road, Baiyun District, 510515, Guangzhou, China
| | - Yining Huang
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Nos.1023-1063, Shatai South Road, Baiyun District, 510515, Guangzhou, China
| | - Xianbo Wu
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Nos.1023-1063, Shatai South Road, Baiyun District, 510515, Guangzhou, China.
| |
Collapse
|
45
|
Liu W, Cai M, Long Z, Tong X, Li Y, Wang L, Zhou M, Wei J, Lin H, Yin P. Association between ambient sulfur dioxide pollution and asthma mortality: Evidence from a nationwide analysis in China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 249:114442. [PMID: 38321661 DOI: 10.1016/j.ecoenv.2022.114442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/30/2022] [Accepted: 12/14/2022] [Indexed: 02/08/2024]
Abstract
There is a lack of research on the effects of acute exposure to ambient sulfur dioxide (SO2) on mortality caused by asthma, especially nationwide research in China. To explore the acute effect of exposure to ambient SO2 on asthma mortality using nationwide dataset in China from 2015 to 2020 and further evaluate the associations in subgroups with different geographical and demographic characteristics. We used data from China's Disease Surveillance Points system with 29,553 asthma deaths in China during 2015-2020. The exposure variable was the daily mean concentrations of SO2 from the ChinaHighSO2 10 km × 10 km daily grid dataset. Bilinear interpolation was used to estimate each individual's exposure to air pollutants and meteorological variables. We used a time-stratified case crossover design at the individual level to analyze the exposure response relationship between short-term exposure to SO2 and asthma mortality. Stratified analyses were carried out by sex, age group, marital status, warm season and cold season, urbanicity and region. Significant associations between short-term exposure to ambient SO2 and increased asthma mortality were found in this nationwide study. The excess risk (ER) for each 10 μg/m3 increase in SO2 concentrations at lag07 was 7.78 % (95 % CI, 4.16-11.52 %). Season appeared to significantly modify the association. The associations were stronger in cold season (ER 9.78 %, 95 % CI:5.82 -13.89 %). The association remained consistent using different lag periods, adjusting for other pollutants, and in the analysis during pre-Corona Virus Disease 2019 (COVID-19) period. Our study indicates increased risk of asthma mortality with acute exposures to SO2 in Chinese population. The current study lends support for greater awareness of the harmful effect of SO2 in China and other countries with high SO2 pollution.
Collapse
Affiliation(s)
- Wei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Miao Cai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Zheng Long
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Xunliang Tong
- Department of Pulmonary and Critical Care Medicine, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Yanming Li
- Department of Pulmonary and Critical Care Medicine, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA.
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
| |
Collapse
|
46
|
Lou X, Zhang P, Shi N, Ding Z, Xu Z, Liu B, Hu W, Yan T, Wang J, Liu L, Zha Y, Wang J, Chen W, Xu C, Xu J, Jiang H, Ma H, Yuan W, Wang C, Liao Y, Wang D, Yao L, Chen M, Li G, Li Y, Wang P, Li X, Lu C, Tang W, Wan J, Li R, Xiao X, Zhang C, Jiao J, Zhang W, Yuan J, Lan L, Li J, Zhang P, Zheng W, Chen J. Associations between short-term exposure of ambient particulate matter and hemodialysis patients death: A nationwide, longitudinal case-control study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 852:158215. [PMID: 36028020 DOI: 10.1016/j.scitotenv.2022.158215] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/18/2022] [Accepted: 08/18/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Long-term exposure to particulate air pollutants can lead to an increase in mortality of hemodialysis patients, but evidence of mortality risk with short-term exposure to ambient particulate matter is lacking. This study aimed to estimate the association of short-term exposure to ambient particulate matter across a wide range of concentrations with hemodialysis patients mortality. METHODS We performed a time-stratified case-crossover study to estimate the association between short-term exposures to PM2.5 and PM10 and mortality of hemodialysis patients. The study included 18,114 hemodialysis death case from 279 hospitals in 41 cities since 2013. Daily particulate matter exposures were calculated by the inverse distance-weighted model based on each case's dialysis center address. Conditional logistic regression were implemented to quantify exposure-response associations. The sensitivity analysis mainly explored the lag effect of particulate matter. RESULTS During the study period, there were 18,114 case days and 61,726 control days. Of all case and control days, average PM2.5 and PM10 levels were 43.98 μg/m3 and 70.86 μg/m3, respectively. Each short-term increase of 10 μg/m3 in PM2.5 and PM10 were statistically significantly associated with a relative increase of 1.07 % (95 % confidence interval [CI]: 0.99 % - 1.15 %) and 0.89 % (95 % CI: 0.84 % - 0.94 %) in daily mortality rate of hemodialysis patients, respectively. There was no evidence of a threshold in the exposure-response relationship. The mean of daily exposure on the same day of death and one-day prior (Lag 01 Day) was the most plausible exposure time window. CONCLUSIONS This study confirms that short-term exposure to particulate matter leads to increased mortality in hemodialysis patients. Policy makers and public health practices have a clear and urgent opportunity to pass air quality control policies that care for hemodialysis populations and incorporate air quality into the daily medical management of hemodialysis patients.
Collapse
Affiliation(s)
- Xiaowei Lou
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, PR China; National Key Clinical Department of Kidney Diseases, PR China; Institute of Nephropathy, Zhejiang University, Hangzhou, PR China; College of Medicine, Zhejiang University, Hangzhou, PR China
| | - Ping Zhang
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, PR China; National Key Clinical Department of Kidney Diseases, PR China; Institute of Nephropathy, Zhejiang University, Hangzhou, PR China; Zhejiang Dialysis Quality Control Center, PR China
| | - Nan Shi
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, PR China; National Key Clinical Department of Kidney Diseases, PR China; Institute of Nephropathy, Zhejiang University, Hangzhou, PR China
| | - Zhe Ding
- College of Medicine, Zhejiang University, Hangzhou, PR China
| | - Zhonggao Xu
- First Hospital of Jilin University, PR China
| | - Bicheng Liu
- Affiliated Zhongda Hospital of Southeast University, PR China
| | - Wenbo Hu
- Qinghai Provincial Peoples Hospital, PR China
| | - Tiekun Yan
- Tianjin Medical University General Hospital, PR China
| | - Jinwen Wang
- Yan'an Hospital of Kunming Medical University, PR China
| | - Ling Liu
- Second Affiliated Hospital of Chongqing Medical University, PR China
| | - Yan Zha
- Guizhou Provincial People's Hospital, PR China
| | - Jianqin Wang
- Second Affiliated Hospital of Lanzhou University, PR China
| | - Wei Chen
- First Affiliated Hospital of Sun yat-sen University, PR China
| | - Chenyun Xu
- Second Affiliated Hospital of Nanchang University, PR China
| | - Jinsheng Xu
- Fourth Hospital of Hebei Medical University, PR China
| | - Hongli Jiang
- First Affiliated Hospital of Xian Jiaotong University, PR China
| | - Huichao Ma
- Second Hospital of Tibet Autonomous Region, PR China
| | | | - Caili Wang
- First Affiliated Hospital of Baotou Medical College, PR China
| | - Yunhua Liao
- First Affiliated Hospital of Guangxi Medical University, PR China
| | - Deguang Wang
- Second Affiliated Hospital of Anhui Medical University, PR China
| | - Li Yao
- First Affiliated Hospital of China Medical University, PR China
| | - Menghua Chen
- General Hospital of Ningxia Medical University, PR China
| | - Guisen Li
- Sichuan Provincial Peoples Hospital, PR China
| | - Yun Li
- Jiangxi Provincial Peoples Hospital, PR China
| | - Pei Wang
- First Affiliated Hospital of Zhengzhou University, PR China
| | - Xuemei Li
- Peking Union Medical College Hospital, PR China
| | - Chen Lu
- Peoples Hospital of Xinjiang Uygur Autonomous Region, PR China
| | | | - Jianxin Wan
- First Affiliated Hospital of Fujian Medical University, PR China
| | - Rongshan Li
- Shanxi Provincial People's Hospital, PR China
| | | | - Chun Zhang
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, PR China
| | - Jundong Jiao
- Second Affiliated Hospital of Harbin Medical University, PR China
| | - Wei Zhang
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, PR China; National Key Clinical Department of Kidney Diseases, PR China; Institute of Nephropathy, Zhejiang University, Hangzhou, PR China
| | - Jing Yuan
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, PR China; National Key Clinical Department of Kidney Diseases, PR China; Institute of Nephropathy, Zhejiang University, Hangzhou, PR China
| | - Lan Lan
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, PR China; National Key Clinical Department of Kidney Diseases, PR China; Institute of Nephropathy, Zhejiang University, Hangzhou, PR China
| | - Jingsong Li
- Research Center for Healthcare Data Science, Zhejiang Lab, PR China
| | - Peng Zhang
- School of Mathematical Sciences, Zhejiang University, PR China.
| | - Weijun Zheng
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, PR China.
| | - Jianghua Chen
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, PR China; National Key Clinical Department of Kidney Diseases, PR China; Institute of Nephropathy, Zhejiang University, Hangzhou, PR China; Zhejiang Dialysis Quality Control Center, PR China.
| |
Collapse
|
47
|
Liu W, Wei J, Cai M, Qian Z, Long Z, Wang L, Vaughn MG, Aaron HE, Tong X, Li Y, Yin P, Lin H, Zhou M. Particulate matter pollution and asthma mortality in China: A nationwide time-stratified case-crossover study from 2015 to 2020. CHEMOSPHERE 2022; 308:136316. [PMID: 36084833 DOI: 10.1016/j.chemosphere.2022.136316] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/10/2022] [Accepted: 08/31/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND A national and comprehensive evaluation is lacking on the relationship between short-term exposure to submicron particulate matter (PM1) pollution and asthma mortality. METHODS Data was obtained from 29,553 asthma deaths from the China National Mortality Surveillance System from 2015 to 2020. We used a bilinear interpolation approach to estimate each participant's daily ambient particulate matter pollution and meteorological variables exposure based on their geocoded residential address and a 10 km × 10 km grid from China High Air Pollutants and the fifth generation of European ReAnalysis-Land reanalysis data set. The associations were estimated using a time-stratified case-crossover design and conditional logistic regressions. RESULTS Our results revealed significant associations between short-term exposure to various particulate matter and asthma mortality. The 5-day moving average of particulate matter exposure produced the most pronounced effect. Compared to fine particulate matter (PM2.5) and inhalable particulate matter (PM10), significantly stronger effects on asthma mortality related to PM1 pollution were noted. The ERs% for asthma mortality associated with each interquartile range (IQR) increase of exposures to PM1 (IQR: 19.2 μg/m3) was 5.59% (95% CI: 2.11-9.19), which is 14% and 22% higher than that for PM2.5 (IQR: 32.0 μg/m3, 4.82% (95% CI: 1.84-7.90)) and PM10 (IQR: 52.2 μg/m3, 4.37% (95% CI: 1.16-7.69)), respectively. The estimates remained consistent in various sensitivity analyses. CONCLUSIONS Our study provided national evidence that acute exposures to various ambient particulate matter pollution can increase mortality due to asthma in China, highlighting stronger associations with ambient PM1 than PM2.5 and PM10. China needs to adjust the current ambient air quality standards urgently and pay greater attention to the adverse health effects of PM1.
Collapse
Affiliation(s)
- Wei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, 20740, USA
| | - Miao Cai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhengmin Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, USA
| | - Zheng Long
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Michael G Vaughn
- School of Social Work, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, USA
| | - Hannah E Aaron
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, USA
| | - Xunliang Tong
- Department of Pulmonary and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yanming Li
- Department of Pulmonary and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| |
Collapse
|
48
|
Liu T, Zhou Y, Wei J, Chen Q, Xu R, Pan J, Lu W, Wang Y, Fan Z, Li Y, Xu L, Cui X, Shi C, Zhang L, Chen X, Bao W, Sun H, Liu Y. Association between short-term exposure to ambient air pollution and dementia mortality in Chinese adults. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 849:157860. [PMID: 35934025 DOI: 10.1016/j.scitotenv.2022.157860] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Short-term exposure to ambient air pollution has been linked to an increased risk of mortality from a variety of causes, but its effects on mortality from dementia remain largely unknown. OBJECTIVES To investigate the association between short-term exposure to ambient air pollution and dementia mortality, and quantitatively assess the excess mortality. METHODS In this time-stratified case-crossover study, 47,108 dementia deaths were identified in Jiangsu province, China during 2015-2019. Exposure to particulate matter with an aerodynamic diameter ≤ 2.5 μm (PM2.5), PM10, sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) was assessed by extracting daily concentrations from a validated grid dataset based on each subject's residential address. Conditional logistic regression models were applied for exposure-response analyses. RESULTS There were 47,108 case days and 159,852 control days during the study period. Each 10 μg/m3 increase of lag 04-day exposure to PM2.5, PM10, and NO2 was significantly associated with a 1.43 % (95 % CI: 0.77, 2.09 %), 1.06 % (0.59, 1.54 %), and 2.80 % (1.51, 4.10 %) increase in odds of dementia mortality, corresponding to an excess mortality of 4.87 %, 5.50 %, and 6.43 %, respectively. We estimated that reducing ambient air pollutant exposures to the WHO air quality guidelines would avoid up to 4.17 % of the dementia deaths, while the ambient air quality standards in China would only help avoid up to 0.39 %. CONCLUSIONS This study provides consistent evidence that short-term exposure to PM2.5, PM10, and NO2 is associated with increased odds of dementia mortality, which can be translated to a considerable excess mortality. Our findings highlight a potential approach to prevent deaths from dementia by reducing individual exposures to ambient air pollution, especially in areas with high levels of ambient air pollution.
Collapse
Affiliation(s)
- Tingting Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Yun Zhou
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, China; Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA
| | - Qi Chen
- Department of Environment and Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China
| | - Ruijun Xu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Jingju Pan
- Hubei Provincial Key Laboratory for Applied Toxicology, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei 430079, China
| | - Wenfeng Lu
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, China; Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Yaqi Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Zhaoyu Fan
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Yingxin Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Luxi Xu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Xiuqing Cui
- Hubei Provincial Key Laboratory for Applied Toxicology, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei 430079, China
| | - Chunxiang Shi
- Meteorological Data Laboratory, National Meteorological Information Center, Beijing 100081, China
| | - Lan Zhang
- Hubei Provincial Key Laboratory for Applied Toxicology, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei 430079, China
| | - Xi Chen
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Wei Bao
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Hong Sun
- Department of Environment and Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China.
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China.
| |
Collapse
|
49
|
Zhou Y, Pan J, Xu R, Lu W, Wang Y, Liu T, Fan Z, Li Y, Shi C, Zhang L, Liu Y, Sun H. Asthma mortality attributable to ambient temperatures: A case-crossover study in China. ENVIRONMENTAL RESEARCH 2022; 214:114116. [PMID: 35988831 DOI: 10.1016/j.envres.2022.114116] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 08/08/2022] [Accepted: 08/12/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Whether ambient temperature exposure contributes to death from asthma remains unknown to date. We therefore conducted a case-crossover study in China to quantitatively evaluate the association and burden of ambient temperature exposure on asthma mortality. METHODS Using data from the National Mortality Surveillance System in China, we conducted a time-stratified case-crossover study of 15 888 individuals who lived in Hubei and Jiangsu province, China and died from asthma as the underlying cause in 2015-2019. Individual-level exposures to air temperature and apparent temperature on the date of death and 21 days prior were assessed based on each subject's residential address. Distributed lag nonlinear models based on conditional logistic regression were used to quantify exposure-response associations and calculate fraction and number of deaths attributable to non-optimum ambient temperatures. RESULTS We observed a reverse J-shaped association between air temperature and risk of asthma mortality, with a minimum mortality temperature of 21.3 °C. Non-optimum ambient temperature is responsible for substantial excess mortality from asthma. In total, 26.3% of asthma mortality were attributable to non-optimum temperatures, with moderate cold, moderate hot, extreme cold and extreme hot responsible for 21.7%, 2.4%, 2.1% and 0.9% of asthma mortality, respectively. The total attributable fraction and number was significantly higher among adults aged less than 80 years in hot temperature. CONCLUSIONS Exposure to non-optimum ambient temperature, especially moderate cold temperature, was responsible for substantial excess mortality from asthma. These findings have important implications for planning of public-health interventions to minimize the adverse respiratory damage from non-optimum ambient temperature.
Collapse
Affiliation(s)
- Yun Zhou
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Jingju Pan
- Institute of Chronic Noncommunicable Disease Control and Prevention, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Ruijun Xu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wenfeng Lu
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Yaqi Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Tingting Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhaoyu Fan
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yingxin Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Chunxiang Shi
- National Meteorological Information Center, Beijing, China
| | - Lan Zhang
- Institute of Chronic Noncommunicable Disease Control and Prevention, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
| | - Hong Sun
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
| |
Collapse
|
50
|
Rahman MM, McConnell R, Schlaerth H, Ko J, Silva S, Lurmann FW, Palinkas L, Johnston J, Hurlburt M, Yin H, Ban-Weiss G, Garcia E. The Effects of Coexposure to Extremes of Heat and Particulate Air Pollution on Mortality in California: Implications for Climate Change. Am J Respir Crit Care Med 2022; 206:1117-1127. [PMID: 35727303 PMCID: PMC9704834 DOI: 10.1164/rccm.202204-0657oc] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 06/21/2022] [Indexed: 11/16/2022] Open
Abstract
Rationale: Extremes of heat and particulate air pollution threaten human health and are becoming more frequent because of climate change. Understanding the health impacts of coexposure to extreme heat and air pollution is urgent. Objectives: To estimate the association of acute coexposure to extreme heat and ambient fine particulate matter (PM2.5) with all-cause, cardiovascular, and respiratory mortality in California from 2014 to 2019. Methods: We used a case-crossover study design with time-stratified matching using conditional logistic regression to estimate mortality associations with acute coexposures to extreme heat and PM2.5. For each case day (date of death) and its control days, daily average PM2.5 and maximum and minimum temperatures were assigned (0- to 3-day lag) on the basis of the decedent's residence census tract. Measurements and Main Results: All-cause mortality risk increased 6.1% (95% confidence interval [CI], 4.1-8.1) on extreme maximum temperature-only days and 5.0% (95% CI, 3.0-8.0) on extreme PM2.5-only days, compared with nonextreme days. Risk increased by 21.0% (95% CI, 6.6-37.3) on days with exposure to both extreme maximum temperature and PM2.5. Increased risk of cardiovascular and respiratory mortality on extreme coexposure days was 29.9% (95% CI, 3.3-63.3) and 38.0% (95% CI, -12.5 to 117.7), respectively, and were more than the sum of individual effects of extreme temperature and PM2.5 only. A similar pattern was observed for coexposure to extreme PM2.5 and minimum temperature. Effect estimates were larger over age 75 years. Conclusions: Short-term exposure to extreme heat and air pollution alone were individually associated with increased risk of mortality, but their coexposure had larger effects beyond the sum of their individual effects.
Collapse
Affiliation(s)
| | - Rob McConnell
- Department of Population and Public Health Sciences, Keck School of Medicine
| | - Hannah Schlaerth
- Department of Civil and Environmental Engineering, Viterbi School of Engineering
| | - Joseph Ko
- Department of Civil and Environmental Engineering, Viterbi School of Engineering
| | | | | | - Lawrence Palinkas
- Department of Population and Public Health Sciences, Keck School of Medicine
- Suzanne Dworak Peck School of Social Work, and
| | - Jill Johnston
- Department of Population and Public Health Sciences, Keck School of Medicine
| | - Michael Hurlburt
- Department of Population and Public Health Sciences, Keck School of Medicine
- Suzanne Dworak Peck School of Social Work, and
| | - Hao Yin
- Department of Economics, University of Southern California, Los Angeles, California
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - George Ban-Weiss
- Department of Civil and Environmental Engineering, Viterbi School of Engineering
| | - Erika Garcia
- Department of Population and Public Health Sciences, Keck School of Medicine
| |
Collapse
|