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Li J, Gu J, Liu L, Cao M, Wang Z, Tian X, He J. The relationship between air pollutants and preterm birth and blood routine changes in typical river valley city. BMC Public Health 2024; 24:1677. [PMID: 38915004 PMCID: PMC11197378 DOI: 10.1186/s12889-024-19140-2] [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: 03/25/2024] [Accepted: 06/13/2024] [Indexed: 06/26/2024] Open
Abstract
OBJECTIVE To collect maternal maternity information on preterm births in two tertiary hospitals in the urban area of Baota District, Yan'an City, from January 2018 to December 2020, to explore the long-term and short-term effects of air pollutants (PM2.5, PM10, SO2, NO2, CO and O3) and preterm births, and to explore changes in blood cell counts due to air pollutants. METHODS Daily average mass concentration data of six air pollutants in the urban area of Yan'an City from January 1, 2017 to December 31, 2020 were collected from the monitoring station in Baota District, Yan'an City. Meteorological information was obtained from the Meteorological Bureau of Yan'an City, including temperature,relative humidity and wind speed for the time period. The mass concentration of air pollutants in each exposure window of pregnant women was assessed by the nearest monitoring station method, and conditional logistic regression was used to analyze the relationship between air pollutants and preterm births, as well as the lagged and cumulative effects of air pollutants. Multiple linear regression was used to explore the relationship between air pollutants and blood tests after stepwise linear regression was used to determine confounders for each blood test. RESULTS The long-term effects of pollutants showed that PM2.5, PM10, SO2, NO2and CO were risk factors for preterm birth. In the two-pollutant model, PM2.5, PM10, SO2 and NO2 mixed with other pollutants were associated with preterm birth. The lagged effect showed that PM2.5, PM10, SO2, NO, and CO were associated with preterm birth; the cumulative effect showed that other air pollutants except O3 were associated with preterm birth. The correlation study between air pollutants and blood indicators showed that air pollutants were correlated with leukocytes, monocytes, basophils, erythrocytes, hs-CRPand not with CRP. CONCLUSION Exposure to air pollutants is a risk factor for preterm birth. Exposure to air pollutants was associated with changes in leukocytes, monocytes, basophils and erythrocytes and hs-CRP.
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Affiliation(s)
- Jimin Li
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Jiajia Gu
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Lang Liu
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Meiying Cao
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Zeqi Wang
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Xi Tian
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Jinwei He
- Medical School of Yan'an University, Yan'an, Shaanxi, China.
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Lin S, Qi Q, Liu H, Deng X, Trees I, Yuan X, Gallant MP. The Joint Effects of Thunderstorms and Power Outages on Respiratory-Related Emergency Visits and Modifying and Mediating Factors of This Relationship. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:67002. [PMID: 38829734 PMCID: PMC11166412 DOI: 10.1289/ehp13237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 04/27/2024] [Accepted: 05/10/2024] [Indexed: 06/05/2024]
Abstract
BACKGROUND While limited studies have evaluated the health impacts of thunderstorms and power outages (POs) separately, few have assessed their joint effects. We aimed to investigate the individual and joint effects of both thunderstorms and POs on respiratory diseases, to identify disparities by demographics, and to examine the modifications and mediations by meteorological factors and air pollution. METHODS Distributed lag nonlinear models were used to examine exposures during three periods (i.e., days with both thunderstorms and POs, thunderstorms only, and POs only) in relation to emergency department visits for respiratory diseases (2005-2018) compared to controls (no thunderstorm/no PO) in New York State (NYS) while controlling for confounders. Interactions between thunderstorms and weather factors or air pollutants on health were assessed. The disparities by demographics and seasons and the mediative effects by particulate matter with aerodynamic diameter ≤ 2.5 μ m (PM 2.5 ) and relative humidity (RH) were also evaluated. RESULTS Thunderstorms and POs were independently associated with total and six subtypes of respiratory diseases in NYS [highest risk ratio (RR) = 1.12; 95% confidence interval (CI): 1.08, 1.17], but the impact was stronger when they co-occurred (highest RR = 1.44; 95% CI: 1.22, 1.70), especially during grass weed, ragweed, and tree pollen seasons. The stronger thunderstorm/PO joint effects were observed on chronic obstructive pulmonary diseases, bronchitis, and asthma (lasted 0-10 d) and were higher among residents who lived in rural areas, were uninsured, were of Hispanic ethnicity, were 6-17 or over 65 years old, and during spring and summer. The number of comorbidities was significantly higher by 0.299-0.782/case. Extreme cold/heat, high RH, PM 2.5 , and ozone concentrations significantly modified the thunderstorm-health effect on both multiplicative and additive scales. Over 35% of the thunderstorm effects were mediated by PM 2.5 and RH. CONCLUSION Thunderstorms accompanied by POs showed the strongest respiratory effects. There were large disparities in thunderstorm-health associations by demographics. Meteorological factors and air pollution levels modified and mediated the thunderstorm-health effects. https://doi.org/10.1289/EHP13237.
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Affiliation(s)
- Shao Lin
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, New York, USA
- Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, Albany, New York, USA
| | - Quan Qi
- Department of Economics, University at Albany, State University of New York, Albany, New York, USA
| | - Han Liu
- Population Studies and Training Center, Brown University, Providence, Rhode Island, USA
| | - Xinlei Deng
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, North Carolina, USA
| | - Ian Trees
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, Maryland, USA
| | - Xiaojun Yuan
- Department of Information Sciences and Technology, College of Emergency Preparedness, Homeland Security and Cybersecurity, University at Albany, State University of New York, Albany, New York, USA
| | - Mary P. Gallant
- Zuckerberg College of Health Sciences, University of Massachusetts Lowell, Lowell, Massachusetts, USA
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Gao Y, Huang W, Yu P, Xu R, Gasevic D, Yue X, Coêlho MDSZS, Saldiva PHN, Guo Y, Li S. Wildfire-related PM 2.5 and cardiovascular mortality: A difference-in-differences analysis in Brazil. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 347:123810. [PMID: 38493867 DOI: 10.1016/j.envpol.2024.123810] [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: 05/30/2023] [Revised: 03/14/2024] [Accepted: 03/15/2024] [Indexed: 03/19/2024]
Abstract
Brazil has experienced unprecedented wildfires recently. We aimed to investigate the association of wildfire-related fine particulate matter (PM2.5) with cause-specific cardiovascular mortality, and to estimate the attributable mortality burden. Exposure to wildfire-related PM2.5 was defined as exposure to annual mean wildfire-related PM2.5 concentrations in the 1-year prior to death. The variant difference-in-differences method was employed to explore the wildfire-related PM2.5-cardiovascular mortality association. We found that, in Brazil, compared with the population in the first quartile (Q1: ≤1.82 μg/m3) of wildfire-related PM2.5 exposure, those in the fourth quartile (Q4: 4.22-17.12 μg/m3) of wildfire-related PM2.5 exposure had a 2.2% (RR: 1.022, 95% CI: 1.013-1.032) higher risk for total cardiovascular mortality, 3.1% (RR: 1.031, 95% CI: 1.014-1.048) for ischaemic heart disease mortality, and 2.0% (RR: 1.020, 95% CI: 1.002-1.038) for stroke mortality. From 2010 to 2018, an estimation of 35,847 (95% CI: 22,424-49,177) cardiovascular deaths, representing 17.77 (95% CI: 11.12-24.38) per 100,000 population, were attributable to wildfire-related PM2.5 exposure. Targeted health promotion strategies should be developed for local governments to protect the public from the risk of wildfire-related cardiovascular premature deaths.
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Affiliation(s)
- Yuan Gao
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Wenzhong Huang
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Pei Yu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Rongbin Xu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Danijela Gasevic
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia; Centre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, UK
| | - Xu Yue
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China
| | | | | | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Shanshan Li
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia.
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Danesh Yazdi M, Amini H, Wei Y, Castro E, Shi L, Schwartz JD. Long-term exposure to PM2.5 species and all-cause mortality among Medicare patients using mixtures analyses. ENVIRONMENTAL RESEARCH 2024; 246:118175. [PMID: 38215924 DOI: 10.1016/j.envres.2024.118175] [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: 10/15/2023] [Revised: 12/23/2023] [Accepted: 01/09/2024] [Indexed: 01/14/2024]
Abstract
BACKGROUND The relationship between long-term exposure to PM2.5 and mortality is well-established; however, the role of individual species is less understood. OBJECTIVES In this study, we assess the overall effect of long-term exposure to PM2.5 as a mixture of species and identify the most harmful of those species while controlling for the others. METHODS We looked at changes in mortality among Medicare participants 65 years of age or older from 2000 to 2018 in response to changes in annual levels of 15 PM2.5 components, namely: organic carbon, elemental carbon, nickel, lead, zinc, sulfate, potassium, vanadium, nitrate, silicon, copper, iron, ammonium, calcium, and bromine. Data on exposure were derived from high-resolution, spatio-temporal models which were then aggregated to ZIP code. We used the rate of deaths in each ZIP code per year as the outcome of interest. Covariates included demographic, temperature, socioeconomic, and access-to-care variables. We used a mixtures approach, a weighted quantile sum, to analyze the joint effects of PM2.5 species on mortality. We further looked at the effects of the components when PM2.5 mass levels were at concentrations below 8 μg/m3, and effect modification by sex, race, Medicaid status, and Census division. RESULTS We found that for each decile increase in the levels of the PM2.5 mixture, the rate of all-cause mortality increased by 1.4% (95% CI: 1.3%-1.4%), the rate of cardiovascular mortality increased by 2.1% (95% CI: 2.0%-2.2%), and the rate of respiratory mortality increased by 1.7% (95% CI: 1.5%-1.9%). These effects estimates remained significant and slightly higher when we restricted to lower concentrations. The highest weights for harmful effects were due to organic carbon, nickel, zinc, sulfate, and vanadium. CONCLUSIONS Long-term exposure to PM2.5 species, as a mixture, increased the risk of all-cause, cardiovascular, and respiratory mortality.
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Affiliation(s)
- Mahdieh Danesh Yazdi
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA; Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA.
| | - Heresh Amini
- Department of Environmental Medicine and Public Health, Institute for Climate Change, Environmental Health, and Exposomics, Icahn School of Medicine, New York, NY, USA
| | - Yaguang Wei
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Edgar Castro
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Joel D Schwartz
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
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Chen Y, Chen S, Zhang L, Kang W, Lin G, Yang Q. Association between ambient air pollutants and short-term mortality risks during 2015-2019 in Guangzhou, China. Front Public Health 2024; 12:1359567. [PMID: 38500735 PMCID: PMC10944870 DOI: 10.3389/fpubh.2024.1359567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 02/22/2024] [Indexed: 03/20/2024] Open
Abstract
With the development of technology and industry, the problem of global air pollution has become difficult to ignore. We investigated the association between air pollutant concentrations and daily all-cause mortality and stratified the analysis by sex, age, and season. Data for six air pollutants [fine particulate matter (PM2.5), inhalable particles (PM10), nitric dioxide (NO2), sulfur dioxide (SO2), ozone (O3), and carbon monoxide (CO)] and daily mortality rates were collected from 2015 to 2019 in Guangzhou, China. A time-series study using a quasi-Poisson generalized additive model was used to examine the relationships between environmental pollutant concentrations and mortality. Mortality data for 296,939 individuals were included in the analysis. The results showed that an increase of 10 μg/m3 in the concentrations of PM2.5, PM10, SO2, O3, NO2, and CO corresponded to 0.84% [95% confidence interval (CI): 0.47, 1.21%], 0.70% (0.44, 0.96%), 3.59% (1.77, 5.43%), 0.21% (0.05, 0.36%), 1.06% (0.70, 1.41%), and 0.05% (0.02, 0.09%), respectively. The effects of the six air pollutants were more significant for male individuals than female individuals, the cool season than the warm season, and people 75 years or older than those younger than 75 years. PM2.5, PM10, SO2, and NO2 were all associated with neoplasms and circulatory and respiratory diseases. The two-pollutant models found that PM2.5, PM10, and NO2 may independently affect the risk of mortality. The results showed that exposure to PM2.5, PM10 and NO2 may increase the risk of daily all-cause excessive mortality in Guangzhou.
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Affiliation(s)
- Yuyang Chen
- School of Anesthesiology, Southern Medical University, Guangzhou, China
| | - Sili Chen
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Lei Zhang
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Weishan Kang
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Guozhen Lin
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Qiaoyuan Yang
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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Niu S, Tang J, Hu K, Xu X, Dong J, Chu J, Guo X, Wang H, Cao Y, Zhao Q, Fornah L, Lu Z, Ma W. The combined effect of air pollution and non-optimal temperature on mortality in Shandong Province, China: establishment of air health index. Int Arch Occup Environ Health 2024; 97:189-197. [PMID: 38156995 DOI: 10.1007/s00420-023-02036-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 11/27/2023] [Indexed: 01/03/2024]
Abstract
PURPOSE The air health index (AHI) captures the combined effects of air pollution and non-optimal temperatures and helps assess the atmospheric environment's overall health risk. Shandong Province is a crucial industrial base in China, and the health effects of air pollution and non-optimal temperature cannot be ignored. To construct an AHI for Shandong Province and assess the district-level mortality burden due to AHI in the study area. METHODS Daily district-specific mortality, meteorological, and air pollution data over 2013-2018 were collected in Shandong Province, China. The AHI construction eventually incorporated PM2.5 and NO2, O3, and non-optimal temperatures. Attributable fraction (AF) and attributable number (AN) were used to estimate the district-specific mortality burden attributable to AHI. RESULTS The average AHI value observed in Shandong Province was 6. Our research revealed a positive association between the total AHI and total mortality, with an overall trend of a slow increase followed by a rapid increase. The exposure-response curves, when stratified by gender, age, and cause of death, were approximately consistent with the overall trend. The provincial attributable fraction (AF) was 5.31% (95% CI 4.58%, 5.91%), and the attributable number (AN) was 188,246 (95% CI 162,396, 209,533). Overall, higher ANs mainly appeared in the southwestern area, while higher values of AF were observed in the central-eastern and central-northern areas. CONCLUSIONS The air health index performs well in predicting death burden and can convey health risks related to exposure to the ambient environment to the public.
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Affiliation(s)
- Shuyue Niu
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, 44 West Wenhua Road, Jinan, 250012, Shandong, People's Republic of China
- Shandong University Climate Change and Health Center, Jinan, People's Republic of China
| | - Junli Tang
- Shandong Center for Disease Control and Prevention, No.16992, Jingshi Road, Jinan, 250014, People's Republic of China
| | - Kejia Hu
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou, People's Republic of China
| | - Xiaohui Xu
- Shandong Center for Disease Control and Prevention, No.16992, Jingshi Road, Jinan, 250014, People's Republic of China
| | - Jing Dong
- Shandong Center for Disease Control and Prevention, No.16992, Jingshi Road, Jinan, 250014, People's Republic of China
| | - Jie Chu
- Shandong Center for Disease Control and Prevention, No.16992, Jingshi Road, Jinan, 250014, People's Republic of China
| | - Xiaolei Guo
- Shandong Center for Disease Control and Prevention, No.16992, Jingshi Road, Jinan, 250014, People's Republic of China
| | - Haitao Wang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, 44 West Wenhua Road, Jinan, 250012, Shandong, People's Republic of China
- Shandong University Climate Change and Health Center, Jinan, People's Republic of China
| | - Yanwen Cao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, 44 West Wenhua Road, Jinan, 250012, Shandong, People's Republic of China
- Shandong University Climate Change and Health Center, Jinan, People's Republic of China
| | - Qi Zhao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, 44 West Wenhua Road, Jinan, 250012, Shandong, People's Republic of China
- Shandong University Climate Change and Health Center, Jinan, People's Republic of China
| | - Lovel Fornah
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, 44 West Wenhua Road, Jinan, 250012, Shandong, People's Republic of China
| | - Zilong Lu
- Shandong Center for Disease Control and Prevention, No.16992, Jingshi Road, Jinan, 250014, People's Republic of China.
| | - Wei Ma
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, 44 West Wenhua Road, Jinan, 250012, Shandong, People's Republic of China.
- Shandong University Climate Change and Health Center, Jinan, People's Republic of China.
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Li P, Wang Y, Tian D, Liu M, Zhu X, Wang Y, Huang C, Bai Y, Wu Y, Wei W, Tian S, Li Y, Qiao Y, Yang J, Cao S, Cong C, Zhao L, Su J, Wang M. Joint Exposure to Ambient Air Pollutants, Genetic Risk, and Ischemic Stroke: A Prospective Analysis in UK Biobank. Stroke 2024; 55:660-669. [PMID: 38299341 DOI: 10.1161/strokeaha.123.044935] [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: 08/29/2023] [Accepted: 12/20/2023] [Indexed: 02/02/2024]
Abstract
BACKGROUND Our primary objective was to assess the association between joint exposure to various air pollutants and the risk of ischemic stroke (IS) and the modification of the genetic susceptibility. METHODS This observational cohort study included 307 304 British participants from the United Kingdom Biobank, who were stroke-free and possessed comprehensive baseline data on genetics, air pollutant exposure, alcohol consumption, and dietary habits. All participants were initially enrolled between 2006 and 2010 and were followed up until 2022. An air pollution score was calculated to assess joint exposure to 5 ambient air pollutants, namely particulate matter with diameters equal to or <2.5 µm, ranging from 2.5 to 10 µm, equal to or <10 µm, as well as nitrogen oxide and nitrogen dioxide. To evaluate individual genetic risk, a polygenic risk score for IS was calculated for each participant. We adjusted for demographic, social, economic, and health covariates. Cox regression models were utilized to estimate the associations between air pollution exposure, polygenic risk score, and the incidence of IS. RESULTS Over a median follow-up duration of 13.67 years, a total of 2476 initial IS events were detected. The hazard ratios (95% CI) of IS for per 10 µg/m3 increase in particulate matter with diameters equal to or <2.5 µm, ranging from 2.5 to 10 µm, equal to or <10 µm, nitrogen dioxide, and nitrogen oxide were 1.73 (1.33-2.14), 1.24 (0.88-1.70), 1.13 (0.89-1.33), 1.03 (0.98-1.08), and 1.04 (1.02-1.07), respectively. Furthermore, individuals in the highest quintile of the air pollution score exhibited a 29% to 66% higher risk of IS compared with those in the lowest quintile. Notably, participants with both high polygenic risk score and air pollution score had a 131% (95% CI, 85%-189%) greater risk of IS than participants with low polygenic risk score and air pollution score. CONCLUSIONS Our findings suggested that prolonged joint exposure to air pollutants may contribute to an increased risk of IS, particularly among individuals with elevated genetic susceptibility to IS.
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Affiliation(s)
- Panlong Li
- Department of Medical Imaging (P.L., Y.B., Y. Wu, W.W., M.W.), Henan Provincial People's Hospital and Zhengzhou University People's Hospital, China
- School of Electrical and Information Engineering, Zhengzhou University of Light Industry, China (P.L., X.Z., Yanfeng Wang, C.H.)
| | - Ying Wang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China (Ying Wang)
- School of Public Health, Zhengzhou University (Ying Wang)
| | - Dandan Tian
- Department of Hypertension (D.T., M.L.), Henan Provincial People's Hospital and Zhengzhou University People's Hospital, China
| | - Min Liu
- Department of Hypertension (D.T., M.L.), Henan Provincial People's Hospital and Zhengzhou University People's Hospital, China
| | - Xirui Zhu
- School of Electrical and Information Engineering, Zhengzhou University of Light Industry, China (P.L., X.Z., Yanfeng Wang, C.H.)
| | - Yanfeng Wang
- School of Electrical and Information Engineering, Zhengzhou University of Light Industry, China (P.L., X.Z., Yanfeng Wang, C.H.)
| | - Chun Huang
- School of Electrical and Information Engineering, Zhengzhou University of Light Industry, China (P.L., X.Z., Yanfeng Wang, C.H.)
| | - Yan Bai
- Department of Medical Imaging (P.L., Y.B., Y. Wu, W.W., M.W.), Henan Provincial People's Hospital and Zhengzhou University People's Hospital, China
- Laboratory of Brain Science and Brain-Like Intelligence Technology, Biomedical Research Institute, Henan Academy of Science, China (Y.B.)
| | - Yaping Wu
- Department of Medical Imaging (P.L., Y.B., Y. Wu, W.W., M.W.), Henan Provincial People's Hospital and Zhengzhou University People's Hospital, China
| | - Wei Wei
- Department of Medical Imaging (P.L., Y.B., Y. Wu, W.W., M.W.), Henan Provincial People's Hospital and Zhengzhou University People's Hospital, China
| | - Shan Tian
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China (S.T., Y.L., Y.Q., J.Y., S.C., C.C., L.Z., J.S.)
| | - Yuna Li
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China (S.T., Y.L., Y.Q., J.Y., S.C., C.C., L.Z., J.S.)
| | - Yuan Qiao
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China (S.T., Y.L., Y.Q., J.Y., S.C., C.C., L.Z., J.S.)
| | - Junting Yang
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China (S.T., Y.L., Y.Q., J.Y., S.C., C.C., L.Z., J.S.)
| | - Shanshan Cao
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China (S.T., Y.L., Y.Q., J.Y., S.C., C.C., L.Z., J.S.)
| | - Chaohua Cong
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China (S.T., Y.L., Y.Q., J.Y., S.C., C.C., L.Z., J.S.)
| | - Lei Zhao
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China (S.T., Y.L., Y.Q., J.Y., S.C., C.C., L.Z., J.S.)
| | - Jingjing Su
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China (S.T., Y.L., Y.Q., J.Y., S.C., C.C., L.Z., J.S.)
| | - Meiyun Wang
- Department of Medical Imaging (P.L., Y.B., Y. Wu, W.W., M.W.), Henan Provincial People's Hospital and Zhengzhou University People's Hospital, China
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Deng L, Chen X, Ma P, Wu Y, Okoye CO, Du D, Deng Q. The combined effect of oxidative stress and TRPV1 on temperature-induced asthma: Evidence in a mouse model. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 344:123313. [PMID: 38185356 DOI: 10.1016/j.envpol.2024.123313] [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: 10/20/2023] [Revised: 12/17/2023] [Accepted: 01/04/2024] [Indexed: 01/09/2024]
Abstract
Temperature is one of the possible activators for asthma. As global warming continues, the health hazard of high temperatures is increasing. It is unclear, nevertheless, how high temperatures affect asthma. The research aims to examine how asthma is affected by high temperatures and underlying molecular mechanisms. The BALB/c mice were adopted in a model of asthma. The mice were exposed at 24 °C, 38 °C and 40 °C for 4h on weekdays from day 1 to day 30. After the experiment, the lung function was measured in vivo, and then serum protein, pulmonary inflammation and immunohistochemistry assay was assessed in vitro. As the temperature increased from 24 °C to 40 °C, there was a significant increase in serum protein, while there is no discernible difference in serum protein of OVA-sIgE and OVA-sIgG between the OVA (38 °C) group and OVA (24 °C) group. The immunohistochemistry assay showed a change in the pro-inflammatory cytokines. The histopathological analysis exhibited the change of airway structure after high-temperature exposure, especially for exposure at 40 °C. The results of signals protein showed a remarkable rise of TRPV1 for OVA+40 °C. Our results revealed that high temperatures may make asthmatic airway dysfunction severe, and the higher the temperature, the more serious asthma. The oxidative stress and TRPV1 receptor can be a potential drug target for asthma. It will provide a new tool for precision medicine in asthma.
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Affiliation(s)
- Linjing Deng
- School of Emergency Management, Jiangsu University, 212000, Zhenjiang, China; School of environment and safety engineering, Jiangsu University, 212000, Zhenjiang, China.
| | - Xunfeng Chen
- Biofuels Institute of Jiangsu university, Jiangsu University, 212000, Zhenjiang, China; School of environment and safety engineering, Jiangsu University, 212000, Zhenjiang, China
| | - Ping Ma
- Laboratory of Environment-Immunological and Neurological Diseases, Hubei University of Science and Technology, Xianning, 437100, China
| | - Yang Wu
- Laboratory of Environment-Immunological and Neurological Diseases, Hubei University of Science and Technology, Xianning, 437100, China
| | - Charles Obinwanne Okoye
- School of environment and safety engineering, Jiangsu University, 212000, Zhenjiang, China; Department of Zoology & Environmental Biology, University of Nigeria, Nsukka, 410001, Nigeria
| | - Daolin Du
- School of Emergency Management, Jiangsu University, 212000, Zhenjiang, China; School of environment and safety engineering, Jiangsu University, 212000, Zhenjiang, China
| | - Qihong Deng
- School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
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9
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Wei Y, Feng Y, Danesh Yazdi M, Yin K, Castro E, Shtein A, Qiu X, Peralta AA, Coull BA, Dominici F, Schwartz JD. Exposure-response associations between chronic exposure to fine particulate matter and risks of hospital admission for major cardiovascular diseases: population based cohort study. BMJ 2024; 384:e076939. [PMID: 38383041 PMCID: PMC10879983 DOI: 10.1136/bmj-2023-076939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/02/2024] [Indexed: 02/23/2024]
Abstract
OBJECTIVE To estimate exposure-response associations between chronic exposure to fine particulate matter (PM2.5) and risks of the first hospital admission for major cardiovascular disease (CVD) subtypes. DESIGN Population based cohort study. SETTING Contiguous US. PARTICIPANTS 59 761 494 Medicare fee-for-service beneficiaries aged ≥65 years during 2000-16. Calibrated PM2.5 predictions were linked to each participant's residential zip code as proxy exposure measurements. MAIN OUTCOME MEASURES Risk of the first hospital admission during follow-up for ischemic heart disease, cerebrovascular disease, heart failure, cardiomyopathy, arrhythmia, valvular heart disease, thoracic and abdominal aortic aneurysms, or a composite of these CVD subtypes. A causal framework robust against confounding bias and bias arising from errors in exposure measurements was developed for exposure-response estimations. RESULTS Three year average PM2.5 exposure was associated with increased relative risks of first hospital admissions for ischemic heart disease, cerebrovascular disease, heart failure, cardiomyopathy, arrhythmia, and thoracic and abdominal aortic aneurysms. For composite CVD, the exposure-response curve showed monotonically increased risk associated with PM2.5: compared with exposures ≤5 µg/m3 (the World Health Organization air quality guideline), the relative risk at exposures between 9 and 10 µg/m3, which encompassed the US national average of 9.7 µg/m3 during the study period, was 1.29 (95% confidence interval 1.28 to 1.30). On an absolute scale, the risk of hospital admission for composite CVD increased from 2.59% with exposures ≤5 µg/m3 to 3.35% at exposures between 9 and 10 µg/m3. The effects persisted for at least three years after exposure to PM2.5. Age, education, accessibility to healthcare, and neighborhood deprivation level appeared to modify susceptibility to PM2.5. CONCLUSIONS The findings of this study suggest that no safe threshold exists for the chronic effect of PM2.5 on overall cardiovascular health. Substantial benefits could be attained through adherence to the WHO air quality guideline.
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Affiliation(s)
- Yaguang Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
| | - Yijing Feng
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
| | - Mahdieh Danesh Yazdi
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Kanhua Yin
- Department of Surgery, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA
| | - Edgar Castro
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
| | - Alexandra Shtein
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
| | - Xinye Qiu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
| | - Adjani A Peralta
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
| | - Brent A Coull
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Francesca Dominici
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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10
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Kloog I, Zhang X. Methods to Advance Climate Science in Respiratory Health: Satellite-Based Environmental Modeling for Temperature Exposure Assessment in Epidemiological Studies. Immunol Allergy Clin North Am 2024; 44:97-107. [PMID: 37973263 DOI: 10.1016/j.iac.2023.07.002] [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] [Indexed: 11/19/2023]
Abstract
Climate change is a major concern with significant impacts on human health including respiratory outcomes, particularly through changes in air temperature. The rise in global temperature has led to an increase in heat waves and extreme weather events, which pose serious risks to respiratory health. Accurately assessing the effects of air temperature on respiratory health requires a comprehensive approach that incorporates fine-scale exposure assessment to characterize the geospatial environment impacting population health. Recent advances in open-source earth observation data have allowed for improved exposure assessment through temperature modeling.
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Affiliation(s)
- Itai Kloog
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Geography and Environmental Development, Ben-Gurion University, Beer Sheva, Israel; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Xueying Zhang
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pediatrics, The Kravis Children's Hospital, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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11
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Luo C, Ma Y, Lu K, Li Y, Liu Y, Zhang T, Yin F, Shui T. How multiple air pollutants affect hand, foot, and mouth disease incidence in children: assessing effect modification by geographical context in multicity of Sichuan, southwest China. BMC Public Health 2024; 24:263. [PMID: 38263020 PMCID: PMC10804470 DOI: 10.1186/s12889-023-17484-9] [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: 07/31/2023] [Accepted: 12/14/2023] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND Several studies have suggested a significant association of hand, foot, and mouth disease (HFMD) with ambient air pollutants. Existing studies have characterized the role of air pollutants on HFMD using only risk ratio measures while ignoring the attributable burden. And whether the geographical context (i.e., diverse topographic features) could modulate the relationships is unclear. METHODS Daily reported childhood HFMD counts, ambient air pollution, and meteorological data during 2015-2017 were collected for each of 21 cities in Sichuan Province. A multistage analysis was carried out in different populations based on geographical context to assess effect modification by topographic conditions. We first constructed a distributed lag nonlinear model (DLNM) for each city to describe the relationships with risk ratio measures. Then, we applied a multivariate meta-regression to estimate the pooled effects of multiple air pollutants on HFMD from the exposure and lagged dimensions. Finally, attributable risks measures were calculated to quantify HFMD burden by air pollution. RESULTS Based on 207554 HFMD cases in Sichuan Province, significant associations of HFMD with ambient air pollutants were observed mainly at relatively high exposure ranges. The effects of ambient air pollutants on HFMD are most pronounced on lag0 or around lag7, with relative risks gradually approaching the reference line thereafter. The attributable risks of O3 were much greater than those of other air pollutants, particularly in basin and mountain regions. CONCLUSIONS This study revealed significant pooled relationships between multiple air pollutants and HFMD incidence from both exposure and lag dimensions. However, the specific effects, including RRs and ARs, differ depending on the air pollution variable and geographical context. These findings provide local authorities with more evidence to determine key air pollutants and regions for devising and implementing targeted interventions.
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Affiliation(s)
- Caiying Luo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yue Ma
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Kai Lu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Ying Li
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Yaqiong Liu
- Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Tao Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Fei Yin
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
| | - Tiejun Shui
- Yunnan Center for Disease Control and Prevention, Kunming, China.
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12
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Wang Y, Mahdieh DY, Wei Y, Schwartz J. Long-Term Exposure to Air Pollution Below Regulatory Standards and Cardiovascular Diseases Among US Medicare Beneficiaries: A Double Negative Control Approach. RESEARCH SQUARE 2023:rs.3.rs-3530201. [PMID: 38045234 PMCID: PMC10690329 DOI: 10.21203/rs.3.rs-3530201/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Growing evidence suggests that long-term air pollution exposure is a risk factor for cardiovascular mortality and morbidity. However, few studies have investigated air pollution below current regulatory limits, and causal evidence is limited. We used a double negative control approach to examine the association between long-term exposure to air pollution at low concentrations and three major cardiovascular events among Medicare beneficiaries aged ≥ 65 years across the contiguous United States between 2000 and 2016. We derived ZIP code-level estimates of ambient fine particulate matter (PM 2.5 ), nitrogen dioxide (NO 2 ), and warm-season ozone (O 3 ) from high-resolution spatiotemporal models. The outcomes of interest were hospitalizations for stroke, heart failure (HF), and atrial fibrillation and flutter (AF). The analyses were restricted to areas with consistently low pollutant levels on an annual basis (PM 2.5 <10 µg/m³, NO 2 < 45 or 40 ppb, warm-season O 3 < 45 or 40 ppb). For each 1 µg/m 3 increase in PM 2.5 , the hospitalization rates increased by 2.25% (95% confidence interval (CI): 1.96%, 2.54%) for stroke and 3.14% (95% CI: 2.80%, 3.94%) for HF. Each ppb increase in NO 2 increased hospitalization rates for stroke, HF, and AF by 0.28% (95% CI: 0.25%, 0.31%), 0.56% (95% CI: 0.52%, 0.60%), and 0.45% (95% CI: 0.41%, 0.49%), respectively. For each ppb increase in warm-season O 3 , there was a 0.32% (95% CI: 0.21%, 0.44%) increase in hospitalization rate for stroke. The associations for NO 2 and warm-season O 3 became stronger under a more restrictive upper threshold. Using an approach robust to omitted confounders, we concluded that long-term exposure to low-level PM 2.5 , NO 2 , and warm-season O 3 was associated with increased risks of cardiovascular diseases in the US elderly. Stricter national air quality standards should be considered.
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13
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Tran HM, Tsai FJ, Lee YL, Chang JH, Chang LT, Chang TY, Chung KF, Kuo HP, Lee KY, Chuang KJ, Chuang HC. The impact of air pollution on respiratory diseases in an era of climate change: A review of the current evidence. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 898:166340. [PMID: 37591374 DOI: 10.1016/j.scitotenv.2023.166340] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/27/2023] [Accepted: 08/14/2023] [Indexed: 08/19/2023]
Abstract
The impacts of climate change and air pollution on respiratory diseases present significant global health challenges. This review aims to investigate the effects of the interactions between these challenges focusing on respiratory diseases. Climate change is predicted to increase the frequency and intensity of extreme weather events amplifying air pollution levels and exacerbating respiratory diseases. Air pollution levels are projected to rise due to ongoing economic growth and population expansion in many areas worldwide, resulting in a greater burden of respiratory diseases. This is especially true among vulnerable populations like children, older adults, and those with pre-existing respiratory disorders. These challenges induce inflammation, create oxidative stress, and impair the immune system function of the lungs. Consequently, public health measures are required to mitigate the effects of climate change and air pollution on respiratory health. The review proposes that reducing greenhouse gas emissions contribute to slowing down climate change and lessening the severity of extreme weather events. Enhancing air quality through regulatory and technological innovations also helps reduce the morbidity of respiratory diseases. Moreover, policies and interventions aimed at improving healthcare access and social support can assist in decreasing the vulnerability of populations to the adverse health effects of air pollution and climate change. In conclusion, there is an urgent need for continuous research, establishment of policies, and public health efforts to tackle the complex and multi-dimensional challenges of climate change, air pollution, and respiratory health. Practical and comprehensive interventions can protect respiratory health and enhance public health outcomes for all.
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Affiliation(s)
- Huan Minh Tran
- Ph.D. Program in Global Health and Health Security, College of Public Health, Taipei Medical University, Taipei, Taiwan; Faculty of Public Health, Da Nang University of Medical Technology and Pharmacy, Viet Nam
| | - Feng-Jen Tsai
- Ph.D. Program in Global Health and Health Security, College of Public Health, Taipei Medical University, Taipei, Taiwan
| | - Yueh-Lun Lee
- Department of Microbiology and Immunology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Jer-Hwa Chang
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan; Division of Pulmonary Medicine, Department of Internal Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Li-Te Chang
- Department of Environmental Engineering and Science, Feng Chia University, Taichung, Taiwan
| | - Ta-Yuan Chang
- Department of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan
| | - Kian Fan Chung
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Han-Pin Kuo
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Kang-Yun Lee
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Kai-Jen Chuang
- School of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan; Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Hsiao-Chi Chuang
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan; National Heart and Lung Institute, Imperial College London, London, UK; Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan; Cell Physiology and Molecular Image Research Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
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14
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Liu M, Meijer P, Lam TM, Timmermans EJ, Grobbee DE, Beulens JWJ, Vaartjes I, Lakerveld J. The built environment and cardiovascular disease: an umbrella review and meta-meta-analysis. Eur J Prev Cardiol 2023; 30:1801-1827. [PMID: 37486178 DOI: 10.1093/eurjpc/zwad241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 07/02/2023] [Accepted: 07/07/2023] [Indexed: 07/25/2023]
Abstract
AIMS To provide a comprehensive overview of the current evidence on objectively measured neighbourhood built environment exposures in relation to cardiovascular disease (CVD) events in adults. METHODS AND RESULTS We searched seven databases for systematic reviews on associations between objectively measured long-term built environmental exposures, covering at least one domain (i.e. outdoor air pollution, food environment, physical activity environment like greenspace and walkability, urbanization, light pollution, residential noise, and ambient temperature), and CVD events in adults. Two authors extracted summary data and assessed the risk of bias independently. Robustness of evidence was rated based on statistical heterogeneity, small-study effect, and excess significance bias. Meta-meta-analyses were conducted to combine the meta-analysis results from reviews with comparable exposure and outcome within each domain. From the 3304 initial hits, 51 systematic reviews were included, covering 5 domains and including 179 pooled estimates. There was strong evidence of the associations between increased air pollutants (especially PM2.5 exposure) and increased residential noise with greater risk of CVD. Highly suggestive evidence was found for an association between increased ambient temperature and greater risk of CVD. Systematic reviews on physical activity environment, food environment, light pollution, and urbanization in relation to CVD were scarce or lacking. CONCLUSION Air pollutants, increased noise levels, temperature, and greenspace were associated with CVD outcomes. Standardizing design and exposure assessments may foster the synthesis of evidence. Other crucial research gaps concern the lack of prospective study designs and lack of evidence from low-to-middle-income countries (LMICs). REGISTRATION PROSPERO: CRD42021246580.
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Affiliation(s)
- Mingwei Liu
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Str6.131, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Paul Meijer
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Str6.131, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
- Upstream Team, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
| | - Thao Minh Lam
- Upstream Team, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Public Health, Health Behaviours & Chronic Diseases, 1105 AZ, Amsterdam, The Netherlands
| | - Erik J Timmermans
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Str6.131, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Diederick E Grobbee
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Str6.131, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Joline W J Beulens
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Str6.131, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Public Health, Health Behaviours & Chronic Diseases, 1105 AZ, Amsterdam, The Netherlands
| | - Ilonca Vaartjes
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Str6.131, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Jeroen Lakerveld
- Upstream Team, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Public Health, Health Behaviours & Chronic Diseases, 1105 AZ, Amsterdam, The Netherlands
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15
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Wang X, Gao C, Xia Y, Xu X, Li L, Liu Y, Yao X, Cao N, Li Z, Fang X. Effect of Air Pollutants and Meteorological Factors on Daily Outpatient Visits of Allergic Rhinitis in Hohhot, China. J Asthma Allergy 2023; 16:1217-1228. [PMID: 37933230 PMCID: PMC10625771 DOI: 10.2147/jaa.s430062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 10/09/2023] [Indexed: 11/08/2023] Open
Abstract
Objective There is limited evidence that atmospheric pollutants are associated with the number of allergic rhinitis (AR) visits. This study aimed to investigate the relationship between atmospheric pollutants and meteorological factors and the number of daily visits for AR in Hohhot City, providing a theoretical basis for further research on the effects of atmospheric pollutants on AR. Methods Microsoft Excel 2016 was used to collect and organize the AR outpatient consultation data, air pollution and meteorological data in Hohhot City during 2018-2020, and the data were descriptively analyzed and Spearman correlation test was performed using SPSS22.0; A generalized additive model was built in R4.2.3 to analyze the effect of air pollution on the number of AR visits and its lagged and cumulative effects, while the robustness of the model was tested using a two-pollutant analysis. Finally, we analyzed the effects of the interaction of temperature, relative humidity and pollutants on the number of AR visits. Results The daily average concentrations of PM2.5, PM10, SO2, NO2, CO, and O3 in Hohhot during 2018-2020 were 38.1 μg/m3, 83.3 μg/m3, 36.1 μg/m3, 15.1 μg/m3, 14.2 mg/m3, and 99.95 μg/m3, respectively, with the concentrations of PM2.5 and PM10 exceeding the secondary limit of the national standard. The results of the generalized additive model analysis showed that the RR and 95% CI of the effect of each 10 μg/m3 increase in pollutant concentration (1 mg/m3 increase in CO) on the number of AR outpatient clinics were 1.008 (1.001-1.016), 1.002 (1-1.005), 1.072 (1.033-1.113), 1.020 (1007-1.034), 1.033 (1.014-1.052), 0.987 (0.9804-0.9936). Conclusion Short-term exposure to PM2.5, PM10, SO2, NO2, and CO was significantly associated with an increase in AR clinic visits, and short-term exposure to O3 was significantly associated with a decrease in allergic rhinitis clinic visits.
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Affiliation(s)
- Xue Wang
- Public Health College, Inner Mongolia Medical University, Hohhot, People’s Republic of China
| | - Chenghua Gao
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, People's Republic of China
| | - Yuan Xia
- Public Health College, Inner Mongolia Medical University, Hohhot, People’s Republic of China
| | - Xiaoqian Xu
- Public Health College, Inner Mongolia Medical University, Hohhot, People’s Republic of China
| | - Lehui Li
- Public Health College, Inner Mongolia Medical University, Hohhot, People’s Republic of China
| | - Yan Liu
- Public Health College, Inner Mongolia Medical University, Hohhot, People’s Republic of China
| | - Xing Yao
- Infection Control Department, Inner Mongolia People’s Hospital, Hohhot, People’s Republic of China
| | - Ning Cao
- Public Health College, Inner Mongolia Medical University, Hohhot, People’s Republic of China
| | - Zichao Li
- Public Health College, Inner Mongolia Medical University, Hohhot, People’s Republic of China
| | - Xin Fang
- Public Health College, Inner Mongolia Medical University, Hohhot, People’s Republic of China
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16
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Wang Y, Qiu X, Wei Y, Schwartz JD. Long-Term Exposure to Ambient PM 2.5 and Hospitalizations for Myocardial Infarction Among US Residents: A Difference-in-Differences Analysis. J Am Heart Assoc 2023; 12:e029428. [PMID: 37702054 PMCID: PMC10547266 DOI: 10.1161/jaha.123.029428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 08/02/2023] [Indexed: 09/14/2023]
Abstract
Background Air pollution has been recognized as an untraditional risk factor for myocardial infarction (MI). However, the MI risk attributable to long-term exposure to fine particulate matter ≤2.5 μm in aerodynamic diameter (PM2.5) is unclear, especially in younger populations, and few studies have represented the general population or had power to examine comorbidities. Methods and Results We applied the difference-in-differences approach to estimate the relationship between annual PM2.5 exposure and hospitalizations for MI among US residents and further identified potential susceptible subpopulations. All hospital admissions for MI in 10 US states over the period 2002 to 2016 were obtained from the Healthcare Cost and Utilization Project State Inpatient Database. In total, 1 914 684 MI hospital admissions from 8106 zip codes were included in this study. We observed a 1.35% (95% CI, 1.11-1.59) increase in MI hospitalization rate for 1-μg/m3 increase in annual PM2.5 exposure. The estimate was robust to adjustment for surface pressure, relative humidity, and copollutants. In the population exposed to ≤12 μg/m3, there was a larger increment of 2.17% (95% CI, 1.79-2.56) in hospitalization rate associated with 1-μg/m3 increase in PM2.5. Young people (0-34 years of age) and elderly people (≥75 years of age) were the 2 most susceptible age groups. Residents living in more densely populated or poorer areas and individuals with comorbidities were observed to be at a greater risk. Conclusions This study indicates long-term residential exposure to PM2.5 could increase risk of MI among the general US population, people with comorbidities, and poorer individuals. The association persists below current standards.
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Affiliation(s)
- Yichen Wang
- Department of Environmental HealthHarvard T.H. Chan School of Public HealthBostonMA
| | - Xinye Qiu
- Department of Environmental HealthHarvard T.H. Chan School of Public HealthBostonMA
| | - Yaguang Wei
- Department of Environmental HealthHarvard T.H. Chan School of Public HealthBostonMA
| | - Joel D. Schwartz
- Department of Environmental HealthHarvard T.H. Chan School of Public HealthBostonMA
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMA
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Requia WJ, Vicedo-Cabrera AM, de Schrijver E, Amini H. Low ambient temperature and hospitalization for cardiorespiratory diseases in Brazil. ENVIRONMENTAL RESEARCH 2023; 231:116231. [PMID: 37245579 DOI: 10.1016/j.envres.2023.116231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 05/02/2023] [Accepted: 05/23/2023] [Indexed: 05/30/2023]
Abstract
Studies have shown that larger temperature-related health impacts may be associated with cold rather than with hot temperatures. Although it remains unclear the cold-related health burden in warmer regions, in particular at the national level in Brazil. We address this gap by examining the association between low ambient temperature and daily hospital admissions for cardiovascular and respiratory diseases in Brazil between 2008 and 2018. We first applied a case time series design in combination with distributed lag non-linear modeling (DLNM) framework to assess the association of low ambient temperature with daily hospital admissions by Brazilian region. Here, we also stratified the analyses by sex, age group (15-45, 46-65, and >65 years), and cause (respiratory and cardiovascular hospital admissions). In the second stage, we performed a meta-analysis to estimate pooled effects across the Brazilian regions. Our sample included more than 23 million hospitalizations for cardiovascular and respiratory diseases nationwide between 2008 and 2018, of which 53% were admissions for respiratory diseases and 47% for cardiovascular diseases. Our findings suggest that low temperatures are associated with a relative risk of 1.17 (95% CI: 1.07; 1.27) and 1.07 (95% CI: 1.01; 1.14) for cardiovascular and respiratory admissions in Brazil, respectively. The pooled national results indicate robust positive associations for cardiovascular and respiratory hospital admissions in most of the subgroup analyses. In particular, for cardiovascular hospital admissions, men and older adults (>65 years old) were slightly more impacted by cold exposure. For respiratory admissions, the results did not indicate differences among the population groups by sex and age. This study can help decision-makers to create adaptive measures to protect public health from the effects of cold temperature.
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Affiliation(s)
- Weeberb J Requia
- Center for Environment and Public Health Studies, School of Public Policy and Government, Fundação Getúlio Vargas, Brasília, Brazil.
| | - Ana Maria Vicedo-Cabrera
- Institute of Social and Preventive Medicine, Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
| | - Evan de Schrijver
- Institute of Social and Preventive Medicine, Oeschger Center for Climate Change Research, Graduate School of Health Sciences, University of Bern, Bern, Switzerland
| | - Heresh Amini
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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Healy JP, Danesh Yazdi M, Wei Y, Qiu X, Shtein A, Dominici F, Shi L, Schwartz JD. Seasonal Temperature Variability and Mortality in the Medicare Population. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:77002. [PMID: 37404028 PMCID: PMC10321237 DOI: 10.1289/ehp11588] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 04/17/2023] [Accepted: 06/12/2023] [Indexed: 07/06/2023]
Abstract
BACKGROUND Seasonal temperature variability remains understudied and may be modified by climate change. Most temperature-mortality studies examine short-term exposures using time-series data. These studies are limited by regional adaptation, short-term mortality displacement, and an inability to observe longer-term relationships in temperature and mortality. Seasonal temperature and cohort analyses allow the long-term effects of regional climatic change on mortality to be analyzed. OBJECTIVES We aimed to carry out one of the first investigations of seasonal temperature variability and mortality across the contiguous United States. We also investigated factors that modify this association. Using adapted quasi-experimental methods, we hoped to account for unobserved confounding and to investigate regional adaptation and acclimatization at the ZIP code level. METHODS We examined the mean and standard deviation (SD) of daily temperature in the warm (April-September) and cold (October-March) season in the Medicare cohort from 2000 to 2016. This cohort comprised 622,427,230 y of person-time in all adults over the age of 65 y from 2000 to 2016. We used daily mean temperature obtained from gridMET to develop yearly seasonal temperature variables for each ZIP code. We used an adapted difference-in-difference approach model with a three-tiered clustering approach and meta-analysis to observe the relationship between temperature variability and mortality within ZIP codes. Effect modification was assessed with stratified analyses by race and population density. RESULTS For every 1°C increase in the SD of warm and cold season temperature, the mortality rate increased by 1.54% [95% confidence interval (CI): 0.73%, 2.15%] and 0.69% (95% CI: 0.22%, 1.15%) respectively. We did not see significant effects for seasonal mean temperatures. Participants who were classified by Medicare into an "other" race group had smaller effects than those classified as White for Cold and Cold SD and areas with lower population density had larger effects for Warm SD. DISCUSSION Warm and cold season temperature variability were significantly associated with increased mortality rates in U.S. individuals over the age of 65 y, even after controlling for seasonal temperature averages. Warm and cold season mean temperatures showed null effects on mortality. Cold SD had a larger effect size for those who were in the racial subgroup other, whereas Warm SD was more harmful for those living in lower population density areas. This study adds to the growing calls for urgent climate mitigation and environmental health adaptation and resiliency. https://doi.org/10.1289/EHP11588.
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Affiliation(s)
- James P. Healy
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Mahdieh Danesh Yazdi
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Yaguang Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Xinye Qiu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Alexandra Shtein
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Francesca Dominici
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Emory Rollins School of Public Health, Atlanta, Georgia, USA
| | - Joel D. Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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Li Z, Lv S, Lu F, Guo M, Wu Z, Liu Y, Li W, Liu M, Yu S, Jiang Y, Gao B, Wang X, Li X, Wang W, Liu X, Guo X. Causal Associations of Air Pollution With Cardiovascular Disease and Respiratory Diseases Among Elder Diabetic Patients. GEOHEALTH 2023; 7:e2022GH000730. [PMID: 37351309 PMCID: PMC10282596 DOI: 10.1029/2022gh000730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 05/05/2023] [Accepted: 05/08/2023] [Indexed: 06/24/2023]
Abstract
Extensive researches have linked air pollutants with cardiovascular disease (CVD) and respiratory diseases (RD), however, there is limited evidence on causal effects of air pollutants on morbidity of CVD or RD with comorbidities, particularly diabetes mellitus in elder patients. We included hospital admissions for CVD or RD among elder (≥65 years) diabetic patients between 2014 and 2019 in Beijing. A time-stratified case-crossover design based on negative-control exposure was used to assess causal associations of short-term exposure to air pollutants with CVD and RD among diabetic patients with the maximum lag of 7 days. A random forest regression model was used to calculate the contribution magnitude of air pollutants. A total of 493,046 hospital admissions were recorded. Per 10 μg/m3 uptick in PM1, PM2.5, PM10, SO2, NO2, O3, and 1 mg/m3 in CO was associated with 0.29 (0.05, 0.53), 0.14 (0.02, 0.26), 0.06 (0.00, 0.12), 0.36 (0.01, 0.70), 0.21 (0.02, 0.40), -0.08 (-0.25, 0.09), and 4.59 (0.56, 8.61) causal effect estimator for admission of CVD among diabetic patients, corresponding to 0.12 (0.05, 0.18), 0.09 (0.05, 0.13), 0.05, 0.23 (0.06, 0.41), 0.10 (0.02, 0.19), -0.04 (-0.06, -0.01), and 3.91(1.81, 6.01) causal effect estimator for RD among diabetic patients. The effect of gaseous pollutants was higher than particulate pollutants in random forest model. Short-term exposure to air pollution was causally associated with increased admission of CVD and RD among elder diabetic patients. Gaseous pollutants had a greater contribution to CVD and RD among elder diabetic patients.
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Affiliation(s)
- Zhiwei Li
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Shiyun Lv
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Feng Lu
- Beijing Municipal Health Commission Information CenterBeijingChina
| | - Moning Guo
- Beijing Municipal Health Commission Information CenterBeijingChina
| | - Zhiyuan Wu
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Yue Liu
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Weiming Li
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Mengmeng Liu
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Siqi Yu
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Yanshuang Jiang
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
| | - Bo Gao
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Xiaonan Wang
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Xia Li
- Department of Mathematics and StatisticsLa Trobe UniversityMelbourneAustralia
| | - Wei Wang
- School of Medical Sciences and HealthEdith Cowan UniversityPerthAustralia
| | - Xiangtong Liu
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
| | - Xiuhua Guo
- Department of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyCapital Medical UniversityBeijingChina
- School of Medical Sciences and HealthEdith Cowan UniversityPerthAustralia
- National Institute for Data Science in Health and MedicineCapital Medical UniversityBeijingChina
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Requia WJ, Vicedo-Cabrera AM, de Schrijver E, Amini H, Gasparrini A. Association of high ambient temperature with daily hospitalization for cardiorespiratory diseases in Brazil: A national time-series study between 2008 and 2018. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 331:121851. [PMID: 37211231 DOI: 10.1016/j.envpol.2023.121851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 04/28/2023] [Accepted: 05/18/2023] [Indexed: 05/23/2023]
Abstract
Further research is needed to examine the nationwide impact of temperature on health in Brazil, a region with particular challenges related to climate conditions, environmental characteristics, and health equity. To address this gap, in this study, we looked at the relationship between high ambient temperature and hospital admissions for circulatory and respiratory diseases in 5572 Brazilian municipalities between 2008 and 2018. We used an extension of the two-stage design with a case time series to assess this relationship. In the first stage, we applied a distributed lag non-linear modeling framework to create a cross-basis function. We next applied quasi-Poisson regression models adjusted by PM2.5, O3, relative humidity, and time-varying confounders. We estimated relative risks (RRs) of the association of heat (percentile 99th) with hospitalization for circulatory and respiratory diseases by sex, age group, and Brazilian regions. In the second stage, we applied meta-analysis with random effects to estimate the national RR. Our study population includes 23,791,093 hospital admissions for cardiorespiratory diseases in Brazil between 2008 and 2018. Among those, 53.1% are respiratory diseases, and 46.9% are circulatory diseases. The robustness of the RR and the effect size varied significantly by region, sex, age group, and health outcome. Overall, our findings suggest that i) respiratory admissions had the highest RR, while circulatory admissions had inconsistent or null RR in several subgroup analyses; ii) there was a large difference in the cumulative risk ratio across regions; and iii) overall, women and the elderly population experienced the greatest impact from heat exposure. The pooled national results for the whole population (all ages and sex) suggest a relative risk of 1.29 (95% CI: 1.26; 1.32) associated with respiratory admissions. In contrast, national meta-analysis for circulatory admissions suggested robust positive associations only for people aged 15-45, 46-65, >65 years old; for men aged 15-45 years old; and women aged 15-45 and 46-65 years old. Our findings are essential for the body of scientific evidence that has assisted policymakers to promote health equity and to create adaptive measures and mitigations.
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Affiliation(s)
- Weeberb J Requia
- School of Public Policy and Government, Fundação Getúlio Vargas Brasília, Distrito Federal, Brazil.
| | - Ana Maria Vicedo-Cabrera
- Institute of Social and Preventive Medicine, University of Bern, Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
| | - Evan de Schrijver
- Institute of Social and Preventive Medicine, University of Bern, Oeschger Center for Climate Change Research, University of Bern, Graduate School of Health Sciences, University of Bern, Bern, Switzerland
| | - Heresh Amini
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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Danesh Yazdi M, Nassan FL, Kosheleva A, Wang C, Xu Z, Di Q, Requia WJ, Comfort NT, Wu H, Laurent LC, DeHoff P, Vokonas P, Baccarelli AA, Schwartz JD. Short-term air pollution and temperature exposure and changes in the extracellular microRNA profile of Normative Aging Study (NAS) participants. ENVIRONMENT INTERNATIONAL 2023; 171:107735. [PMID: 36640488 PMCID: PMC10159015 DOI: 10.1016/j.envint.2023.107735] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 01/02/2023] [Accepted: 01/04/2023] [Indexed: 05/06/2023]
Abstract
BACKGROUND While the health effects of air pollution and temperature are widely studied, the molecular effects are poorly understood. Extracellular microRNAs (ex-miRNAs) have the potential to serve as diagnostic or prognostic biomarkers and/or to act as intercellular signaling molecules that mediate the effects of environmental exposures on health outcomes. METHODS We examined the relationship between short-term exposure to air pollution and ambient temperature and the ex-miRNA profiles of participants in the Normative Aging Study (NAS) from 1999 to 2015. Our exposures were defined as same-day, two-day, three-day, one-week, two-week, and three-week moving averages of PM2.5, NO2, O3, and temperature which were derived from high-resolution spatio-temporal models. The ex-miRNA profiles of the subjects were obtained during follow-up visits. We analyzed the data using a longitudinal quantile regression model adjusted for individual covariates, batch effects, and time trends. We adjusted for multiple comparisons using a false discovery rate (FDR) correction. Ex-miRNAs that were significantly associated with exposures were further investigated using pathway analyses. RESULTS We found that all the examined exposures were associated with changes in ex-miRNA profiles in our study, particularly PM2.5 which was responsible for most of the statistically significant results. We found 110 statistically significant exposure-outcome relationships that revealed associations with the levels of 52 unique ex-miRNAs. Pathway analyses showed these ex-miRNAs have been linked to target mRNAs, genes, and biological mechanisms that could affect virtually every organ system, and as such may be linked to multiple clinical disease presentations such as cardiovascular disease, respiratory disease, and neurological disease. CONCLUSIONS Air pollution and temperature exposures were significantly associated with alterations in the ex-miRNA profiles of NAS subjects with possible biological consequences.
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Affiliation(s)
- Mahdieh Danesh Yazdi
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA; Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA.
| | - Feiby L Nassan
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA; Biogen Inc, Cambridge, MA, USA
| | - Anna Kosheleva
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Cuicui Wang
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Zongli Xu
- Laboratory of Molecular Carcinogenesis and Biostatistics Branch, National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Qian Di
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Weeberb J Requia
- School of Public Policy and Government, Fundação Getúlio Vargas, Brasília, Distrito Federal, Brazil
| | - Nicole T Comfort
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA
| | - Haotian Wu
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA
| | - Louise C Laurent
- Department of Obstetrics, Gynecology, & Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | - Peter DeHoff
- Department of Obstetrics, Gynecology, & Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | - Pantel Vokonas
- Department of Veterans Affairs, Boston, MA, USA; Department of Medicine, Boston University Chobanian and Avidisian School of Medicine, Boston, MA, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA
| | - Joel D Schwartz
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
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