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Schworer SA, Hinderliter AL, Caughey MC, Robinette C, Chason KD, Li H, Zhou H, Sood AK, Burbank AJ, Peden DB, Hernandez ML. Inhaled endotoxin induces a systemic neutrophil response without affecting cardiovascular measures in a randomized cross-over exposure study. Inhal Toxicol 2024; 36:100-105. [PMID: 38368594 PMCID: PMC11151184 DOI: 10.1080/08958378.2024.2316241] [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: 10/09/2023] [Accepted: 02/03/2024] [Indexed: 02/19/2024]
Abstract
OBJECTIVE The gram-negative bacterial cell wall component endotoxin (lipopolysaccharide, LPS) is a key component of particulate matter (PM). PM exposure is associated with cardiovascular morbidity and mortality. However, the contribution of individual components of PM to acute and chronic cardiovascular measures is not clear. This study examines whether systemic inflammation induced by LPS inhalation causes acute changes in cardiovascular physiology measures. MATERIALS AND METHODS In this double blinded, placebo-controlled crossover study, fifteen adult volunteers underwent inhalation exposure to 20,000 EU Clinical Center Reference Endotoxin (CCRE). Peripheral blood and induced sputum neutrophils were obtained at baseline and six hours post-exposure. Blood pressure, measures of left ventricular function (ejection fraction (LVEF) and global longitudinal strain (LVGLS)), and indices of endothelial function (flow mediated dilation (FMD) and velocity time integral during hyperemia (VTIhyp)) were measured before and after treatment. Wilcoxon sign-rank tests and linear mixed models were used for statistical analysis. RESULTS In comparison with normal saline, LPS inhalation resulted in significant increases in peripheral blood and sputum neutrophils but was not associated with significant alterations in blood pressure, LVGLS, LVEF, FMD, or VTIhyp. DISCUSSION AND CONCLUSIONS In healthy adults, systemic inflammation after LPS inhalation was not associated with acute changes in cardiovascular physiology. Larger studies are needed to investigate the effects of other PM components on inflammation induced cardiovascular dysfunction.
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Affiliation(s)
- Stephen A. Schworer
- Division of Allergy and Immunology, Department of Pediatrics, UNC School of Medicine
- Marsico Lung Institute
- Division of Rheumatology, Allergy, and Immunology
| | | | | | | | - Kelly D. Chason
- Division of Allergy and Immunology, Department of Pediatrics, UNC School of Medicine
| | - Haolin Li
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Haibo Zhou
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Allison J. Burbank
- Division of Allergy and Immunology, Department of Pediatrics, UNC School of Medicine
| | - David B. Peden
- Division of Allergy and Immunology, Department of Pediatrics, UNC School of Medicine
- Center for Environmental Medicine & Lung Biology
| | - Michelle L. Hernandez
- Division of Allergy and Immunology, Department of Pediatrics, UNC School of Medicine
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2
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Chen S, Zhang Y, Wang Y, Lawrence WR, Rhee J, Guo T, Chen S, Du Z, Wu W, Li Z, Wei J, Hao Y, Zhang W. Long-term particulate matter exposure and the risk of neurological hospitalization: Evidence from causal inference of a large longitudinal cohort in South China. CHEMOSPHERE 2023; 345:140397. [PMID: 37838030 PMCID: PMC10841469 DOI: 10.1016/j.chemosphere.2023.140397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 09/12/2023] [Accepted: 10/08/2023] [Indexed: 10/16/2023]
Abstract
With limited evidence on the neurological impact of particulate matter (PM) exposure in China, particularly for PM1 which is smaller but more toxic, we conducted a large Chinese cohort study using causal inference approaches to comprehensively clarify such impact. A total of 36,271 participants in southern China were recruited in 2015 and followed up through 2020. We obtained the neurological hospitalizations records by linking the cohort data to the electronic reports from 418 medical institutions across the study area. By using high-resolution PM concentrations from satellite-based spatiotemporal models and the cohort data, we performed marginal structural Cox models under causal assumptions to assess the potential causal links between time-varying PM exposure and neurological hospitalizations. Our findings indicated that increasing PM1, PM2.5, and PM10 concentrations by 1 μg/m³ were associated with higher overall neurological hospitalization risks, with hazard ratios (HRs) of 1.10 (95% confidence interval (CI) 1.04-1.16), 1.09 (95% CI 1.04-1.14), and 1.03 (95% CI 1.00-1.06), respectively. PM1 appeared to have a stronger effect on neurological hospitalization, with a 1% and 7% higher impact compared to PM2.5 and PM10, respectively. Additionally, each 1-μg/m3 increase in the annual PM1 concentration was associated with an elevated risk of hospitalizations for ischemic stroke (HR: 1.15; 95% CI, 1.06-1.26), which tended to be larger than the estimates for PM2.5 (HR: 1.13, 95% CI, 1.04-1.23) and PM10 (HR: 1.05, 95% CI, 1.00-1.09). Furthermore, never-married or female individuals tended be at a greater risk compared with their counterparts. Our study provides important insights into the health impact of particles, particularly smaller particles, on neurological hospitalization risk and highlights the need for clean-air policies that specifically target these particles.
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Affiliation(s)
- Shimin Chen
- Department of Medical Statistics, School of Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yuqin Zhang
- Department of Medical Statistics, School of Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Ying Wang
- Department of Medical Statistics, School of Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wayne R Lawrence
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States
| | - Jongeun Rhee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States
| | - Tong Guo
- Department of Medical Statistics, School of Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Shirui Chen
- Department of Medical Statistics, School of Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhicheng Du
- Department of Medical Statistics, School of Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wenjing Wu
- Department of Medical Statistics, School of Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhiqiang Li
- Department of Medical Statistics, School of Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States.
| | - Yuantao Hao
- Peking University Center for Public Health and Epidemic Preparedness & Response, Peking, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, China.
| | - Wangjian Zhang
- Department of Medical Statistics, School of Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China.
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3
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Li X, Wu Y, Li G, Shen W, Xiao W, Liu J, Hu W, Lu H, Huang F. The combined effects of exposure to multiple PM 2.5 components on overweight and obesity in middle-aged and older adults: a nationwide cohort study from 125 cities in China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:8749-8760. [PMID: 37726540 DOI: 10.1007/s10653-023-01741-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 08/21/2023] [Indexed: 09/21/2023]
Abstract
The prevalence of overweight or obesity increased rapidly over the past decades in most countries, including China. However, little evidence exists about the effects of long-term exposure to PM2.5 components on overweight or obesity, particularly in developing countries. We measured different weight stages according to body mass index (BMI), and investigated the effects of exposure to PM2.5 components (ammonium [[Formula: see text]], sulfate [[Formula: see text]], nitrate [[Formula: see text]], black carbon and organic matter) on different BMI levels in middle-aged and elderly people of China. Our study explored the effects of single and multiple air pollution exposures on overweight and obesity by using the Generalized Linear Model and Quantile g-Computation model (QgC). This study found a significantly positive association between five PM2.5 components and overweight/obesity. In the QgC model, there was still a positive association between multiple exposure to PM2.5 components and overweight when all PM2.5 components were considered as a whole. In addition, males, the elderly, and urban residents were also more sensitive to five PM2.5 components.
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Affiliation(s)
- Xue Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Yueyang Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Guoao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Wenbin Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Wei Xiao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Jianjun Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Wenlei Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Huanhuan Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Fen Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China.
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4
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Li G, Su W, Zhong Q, Hu M, He J, Lu H, Hu W, Liu J, Li X, Hao J, Huang F. Individual PM 2.5 component exposure model, elevated blood pressure and hypertension in middle-aged and older adults: A nationwide cohort study from 125 cities in China. ENVIRONMENTAL RESEARCH 2022; 215:114360. [PMID: 36184965 DOI: 10.1016/j.envres.2022.114360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 09/07/2022] [Accepted: 09/14/2022] [Indexed: 06/16/2023]
Abstract
Recently, elevated blood pressure (BP) and hypertension (HTN) have caused a huge burden of health loss. Previous studies used ambient air pollutants as a proxy for individual exposure, limiting the assessment of its multiple exposure to health effects. For the first time, this study constructed individual PM2.5 component (SO42-, NO3-, NH4+, OM, and BC) exposure model DAG (Directed Acyclic Graph), DAG-oriented generalized linear model and random forest model, and explored the effects of single and multiple exposures to PM2.5 components on BP at different stages by the generalized linear model (GLM) and Quantile g-Computation (QgC) model based on a large cohort study in China. We defined BP in four stages according to the 2017 ACC/AHA guidelines. After excluding the lack of key information, the cohort analyses ultimately included 9031 participants. Our results showed that the individual PM2.5 component exposure model had good efficacy. Single or multiple exposure to PM2.5 components had significant positive effects on normal BP to elevated BP and elevated BP to stage 1 HTN. In addition, males, the elderly and urban residents were more sensitive to PM2.5 components. This study provided implications for environmental exposure assessment and control of particulate pollution in the future.
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Affiliation(s)
- Guoao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Wanying Su
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Qi Zhong
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Mingjun Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Jialiu He
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Huanhuan Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Wenlei Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Jianjun Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Xue Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Jiahu Hao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.
| | - Fen Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.
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5
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Urban Particulate Matter Hazard Mapping and Monitoring Site Selection in Nablus, Palestine. ATMOSPHERE 2022. [DOI: 10.3390/atmos13071134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Few air pollution studies have been applied in the State of Palestine and all showed an increase in particulate matter concentrations above WHO guidelines. However, there is no clear methodology for selecting monitoring locations. In this study, a methodology based on GIS and locally calibrated low-cost sensors was tested. A GIS-based weighted overlay summation process for the potential sources of air pollution (factories, quarries, and traffic), taking into account the influence of altitude and climate, was used to obtain an air pollution hazard map for Nablus, Palestine. To test the methodology, eight locally calibrated PM sensors (AirUs) were deployed to measure PM2.5 concentrations for 55 days from 7 January to 2 March 2022. The results of the hazard map showed that 82% of Nablus is exposed to a high and medium risk of PM pollution. Sensors’ readings showed a good match between the hazard intensity and PM concentrations. It also shows an elevated PM2.5 concentrations above WHO guidelines in all areas. In summary, the overall average for PM2.5 in the Nablus was 48 µg/m3. This may indicate the effectiveness of mapping methodology and the use of low-cost, locally calibrated sensors in characterizing air quality status to identify the potential remediation options.
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6
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Huang M, Chen J, Yang Y, Yuan H, Huang Z, Lu Y. Effects of Ambient Air Pollution on Blood Pressure Among Children and Adolescents: A Systematic Review and Meta-Analysis. J Am Heart Assoc 2021; 10:e017734. [PMID: 33942625 PMCID: PMC8200690 DOI: 10.1161/jaha.120.017734] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Background Previous studies have investigated the association of ambient air pollution with blood pressure (BP) in children and adolescents, however, the results are not consistent. We conducted a systematic review and meta‐analysis to assess the relationship between short‐term and long‐term ambient air pollutant exposure with BP values among children and adolescents. Methods and Results We searched PubMed, Web of Science, and Embase before September 6, 2020. Two reviewers independently searched and selected studies, extracted data, and assessed study quality. The studies were divided into groups by composition of air pollutants (NO2, particulate matter (PM) with diameter ≤10 μm or ≤2.5 μm) and length of exposure. The beta regression coefficients (β) and their 95% CIs were calculated to evaluate the strength of the effect with each 10 μg/m3 increase in air pollutants. Out of 36 650 articles, 14 articles were included in this meta‐analysis. The meta‐analysis showed short‐term exposure to PM with diameter ≤10 μm (β=0.267; 95% CI, 0.033‒0.501) was significantly associated with elevated systolic BP values. In addition, long‐term exposure to PM with diameter ≤2.5 μm (β=1.809; 95% CI, 0.962‒2.655), PM with diameter ≤10 μm (β=0.526; 95% CI, 0.095‒0.958), and NO2 (β=0.754; 95% CI, 0.541‒0.968) were associated with systolic BP values and long‐term exposure to PM with diameter ≤2.5 μm (β=0.931; 95% CI, 0.157‒1.705), and PM with diameter ≤10 μm (β=0.378; 95% CI, 0.022‒0.735) was associated with diastolic BP. Conclusions Our study indicates that both short‐term and long‐term exposure to some ambient air pollutants may increase BP values among children and adolescents.
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Affiliation(s)
- Miao Huang
- Center of Clinical Pharmacology The Third Xiangya Hospital, Central South University Changsha China
| | - Jingyuan Chen
- Center of Clinical Pharmacology The Third Xiangya Hospital, Central South University Changsha China
| | - Yiping Yang
- Center of Clinical Pharmacology The Third Xiangya Hospital, Central South University Changsha China
| | - Hong Yuan
- Center of Clinical Pharmacology The Third Xiangya Hospital, Central South University Changsha China.,National-Local Joint Engineering Laboratory of Drug Clinical Evaluation Technology Changsha China
| | - Zhijun Huang
- Center of Clinical Pharmacology The Third Xiangya Hospital, Central South University Changsha China.,National-Local Joint Engineering Laboratory of Drug Clinical Evaluation Technology Changsha China
| | - Yao Lu
- Center of Clinical Pharmacology The Third Xiangya Hospital, Central South University Changsha China.,National-Local Joint Engineering Laboratory of Drug Clinical Evaluation Technology Changsha China.,Department of Life Science and Medicine King's College London London United Kingdom
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7
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Yang HB, Teng CG, Hu J, Zhu XY, Wang Y, Wu JZ, Xiao Q, Yang W, Shen H, Liu F. Short-term effects of ambient particulate matter on blood pressure among children and adolescents:A cross-sectional study in a city of Yangtze River delta, China. CHEMOSPHERE 2019; 237:124510. [PMID: 31549641 DOI: 10.1016/j.chemosphere.2019.124510] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Revised: 08/02/2019] [Accepted: 08/02/2019] [Indexed: 06/10/2023]
Abstract
Several studies have demonstrated associations between short-term exposure to particulate matter (PM) and blood pressure (BP) among various adults groups, but evidence in children and adolescents is still rare. In 2016, a cross-sectional survey was conducted among 194 104 participants aged 6-17 years in Suzhou, China. Daily concentrations of particulate matters with an aerodynamic diameter of ≤10 μg/m3 (PM10) and aerodynamic diameter ≤2.5 μg/m3 (PM2.5) on 0-6 days preceding BP examination were collected from nearby air monitoring stations. Using generalized linear mixed-effects models, short-term effects of PM on personal BP were estimated. A 10 μg/m3 increment in the 0-6 day mean of PM2.5 was significantly associated with elevation of 0.20 mmHg [95% confidence interval (95% CI) 0.16-0.23] in systolic BP (SBP), 0.49 mmHg (95% CI 0.45-0.53) in diastolic BP (DBP), respectively. Similarly, 0.14 mmHg (95% CI 0.12-0.16) higher SBP and 0.32 mmHg (95% CI 0.30-0.34) higher DBP were found for each 10 μg/m3 increase in 0-6 day mean of PM10. More apparent associations were observed in females than in males. Odds ratio (95%CI) of for PM2.5 exposure at 0-6 d mean was 1.06 (1.03-1.08) in females, while it was 1.01 (0.99-1.03) in males. Participants with young ages, underweight and obesity were also associated with increased susceptibility to PM-induced BP effects. Short-term exposure in PM was significantly associated with elevated BP in children, indicating a need to control PM levels and protect children from PM exposure in China.
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Affiliation(s)
- Hai-Bing Yang
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu, 215004, China
| | - Chen-Gang Teng
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu, 215004, China
| | - Jia Hu
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu, 215004, China.
| | - Xiao-Yan Zhu
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu, 215004, China; Institute of Suzhou Biobank, Suzhou, Jiangsu, 215004, China
| | - Ying Wang
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu, 215004, China; Department of Occupational and Environmental Health and Key Laboratory of Environmental 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
| | - Jing-Zhi Wu
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu, 215004, China
| | - Qi Xiao
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu, 215004, China
| | - Wei Yang
- School of Community Health Sciences, University of Nevada, Reno, NV, 89154, USA
| | - Hui Shen
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu, 215004, China
| | - Fang Liu
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu, 215004, China.
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8
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Vencloviene J, Braziene A, Dedele A, Lopatiene K, Dobozinskas P. Associations of short-term exposure to ambient air pollutants with emergency ambulance calls for the exacerbation of essential arterial hypertension. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2017; 27:509-524. [PMID: 29149802 DOI: 10.1080/09603123.2017.1405246] [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: 07/07/2017] [Accepted: 10/23/2017] [Indexed: 06/07/2023]
Abstract
We investigated the association between daily emergency ambulance calls (EAC) for elevated blood pressure that occurred during the time intervals of 8:00-13:59, 14:00-21:59, and 22:00-7:59, and exposure to CO, PM10, and ozone. We used Poisson regression to explore the association between the risk of EAC and short-term variation of pollutants, adjusting for seasonality and weather variables. Before noon, the risk was associated with an interquartile range (IQR) (7.9 μg/m3) increase in PM10 at lag 2-4 days below the median (RR = 1.08, p = 0.031) and with an IQR (0.146 mg/m3) increase in CO at lag 6-7 below the median (RR = 1.05, p = 0.028). During 14:00-21:59, the risk was associated with an IQR (18.8 μg/m3) increase in PM10 on the previous day below the median (RR = 1.04, p = 0.031). At night, EAC were negatively affected by lower O3 (lag 0-2) below the median (per IQR decrease RR = 1.10, p = 0.018) and a higher PM10 at lag 0-1 above the median for the elderly (RR = 1.07, p = 0.030).
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Affiliation(s)
- Jone Vencloviene
- a Department of Environmental Sciences , Vytautas Magnus University , Kaunas , Lithuania
| | - Agne Braziene
- a Department of Environmental Sciences , Vytautas Magnus University , Kaunas , Lithuania
| | - Audrius Dedele
- a Department of Environmental Sciences , Vytautas Magnus University , Kaunas , Lithuania
| | - Kristina Lopatiene
- b Department of Orthodontics , Lithuanian University of Health Sciences , Kaunas , Lithuania
| | - Paulius Dobozinskas
- c Department of Disaster Medicine , Lithuanian University of Health Sciences , Kaunas , Lithuania
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9
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Lin J, Wang H, Yan F, Tang K, Zhu H, Weng Z, Wang K. Effects of occupational exposure to noise and dust on blood pressure in Chinese industrial workers. Clin Exp Hypertens 2017; 40:257-261. [PMID: 29087739 DOI: 10.1080/10641963.2017.1368534] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Along with the rapid development of economy and urbanization, noise and air pollution are becoming major occupational health hazards in the process of industrial production. In this study, we collected data from 7293 industrial workers in China. The association between occupational exposure of noise and dust and blood pressure was investigated. Controlling for demographic variables, including sex, age, and length of service, a stepwise regression model with backward elimination was constructed. The results showed that both noise and dust decreased the level of systolic blood pressure (p < 0.001). This finding prompted the manufacturing industry to reduce noise and dust hazards and protect the occupational health of workers. Prospective studies in different populations are still required to verify the net contribution of noise and dust to the decrease in blood pressure.
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Affiliation(s)
- Jingfeng Lin
- a Department of Food Science and Engineering, Institute of Occupational Health and Poison Control , Fuzhou , China
| | - Hufei Wang
- b Department of Food Science and Engineering, College of Biological Science and Engineering , Fuzhou University , Fuzhou , China
| | - Fen Yan
- b Department of Food Science and Engineering, College of Biological Science and Engineering , Fuzhou University , Fuzhou , China
| | - Kefu Tang
- c Prenatal Diagnosis Center , Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine , Shanghai , China
| | - Huang Zhu
- e Department of Medicine, Division of Regenerative Medicine , University of California-San Diego , San Diego , California
| | - Zuquan Weng
- b Department of Food Science and Engineering, College of Biological Science and Engineering , Fuzhou University , Fuzhou , China
| | - Kejian Wang
- d Lin He's Academician Workstation of New Medicine and Clinical Translation at The Third Affiliated Hospital , Guangzhou Medical University , Guangzhou , China
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Heusinkveld HJ, Wahle T, Campbell A, Westerink RHS, Tran L, Johnston H, Stone V, Cassee FR, Schins RPF. Neurodegenerative and neurological disorders by small inhaled particles. Neurotoxicology 2016; 56:94-106. [PMID: 27448464 DOI: 10.1016/j.neuro.2016.07.007] [Citation(s) in RCA: 193] [Impact Index Per Article: 24.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Revised: 07/18/2016] [Accepted: 07/18/2016] [Indexed: 12/17/2022]
Abstract
The world's population is steadily ageing and as a result, health conditions related to ageing, such as dementia, have become a major public health concern. In 2001, it was estimated that there were almost 5 million Europeans suffering from Alzheimer's disease (AD) and this figure has been projected to almost double by 2040. About 40% of people over 85 suffer from AD, and another 10% from Parkinson's disease (PD). The majority of AD and PD cases are of sporadic origin and environmental factors play an important role in the aetiology. Epidemiological research identified airborne particulate matter (PM) as one of the environmental factors potentially involved in AD and PD pathogenesis. Also, cumulating evidence demonstrates that the smallest sizes of the inhalable fraction of ambient particulate matter, also referred to as ultrafine particulate matter or nano-sized particles, are capable of inducing effects beyond the respiratory system. Translocation of very small particles via the olfactory epithelium in the nose or via uptake into the circulation has been demonstrated through experimental rodent studies with engineered nanoparticles. Outdoor air pollution has been linked to several health effects including oxidative stress and neuroinflammation that may ultimately result in neurodegeneration and cognitive impairment. This review aims to evaluate the relationship between exposure to inhaled ambient particles and neurodegeneration.
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Affiliation(s)
- Harm J Heusinkveld
- IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany; National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands, The Netherlands; AIR pollutants and Brain Aging research Group.
| | - Tina Wahle
- IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany; AIR pollutants and Brain Aging research Group
| | - Arezoo Campbell
- College of Pharmacy, Western University of Health Sciences, Pomona, CA, USA
| | - Remco H S Westerink
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Lang Tran
- Institute of Occupational Medicine, Edinburgh, UK
| | | | - Vicki Stone
- Heriot-Watt University, School of Life Sciences, Edinburgh, UK
| | - Flemming R Cassee
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands, The Netherlands; Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands; AIR pollutants and Brain Aging research Group
| | - Roel P F Schins
- IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany; AIR pollutants and Brain Aging research Group
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