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Zheng S, Zhang X, Zhang L, Shi G, Liu Y, Lv K, Zhang D, Yin C, Bai Y, Zhang Y, Wang M. Effects of short-term exposure to gaseous pollutants on metabolic health indicators of patients with metabolic syndrome in Northwest China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 249:114438. [PMID: 38321659 DOI: 10.1016/j.ecoenv.2022.114438] [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: 06/29/2022] [Revised: 12/11/2022] [Accepted: 12/12/2022] [Indexed: 02/08/2024]
Abstract
Currently few studies have explored the relationship between exposure to gaseous pollutants and metabolic health indicators in patients, especially in patients with metabolic syndrome (Mets). This study collected 15,520 patients with Mets in a prospective cohort of nearly 50,000 people with 7 years of follow-up from 2011 to 2017, and matched air pollutants and meteorological data during the same period. The mixed effects model was used to analyze the relationship between different short exposure windows (1-week, 1-month, 2-month, and 3-month) of gaseous pollutants (SO2, NO2, and O3) and the metabolic health indicators of patients after controlled the confounding factors. Stratified analysis was performed by demographic characteristics and behavioral factors. The effects of gaseous pollutants on patients with different Met components were also analyzed. The results showed that the short-term exposure to SO2, NO2, and O3 had a certain effect on the metabolic health indicators of patients with Mets in different exposure windows, and with the extension of the exposure window period, the effects increased. The stratified analysis showed that gender, age, and life behaviors might modify these detrimental effects. In addition, the effects of gaseous pollutants on metabolic health indicators in G4 and G7 were more obvious than other Met components, and the effects of gaseous pollutants on the level of LDL-C were found to be statistically significant in most components. Therefore, patients with Mets should pay more attention to the influence of gaseous pollutants to take appropriate protection to reduce potential health risk.
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Affiliation(s)
- Shan Zheng
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 73000, China
| | - Xiaofei Zhang
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 73000, China
| | - Li Zhang
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 73000, China
| | - Guoxiu Shi
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 73000, China
| | - Yanli Liu
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 73000, China
| | - Kang Lv
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 73000, China
| | - Desheng Zhang
- Workers' Hospital of Jinchuan Group Co., Ltd., Jinchang 737103, China
| | - Chun Yin
- Workers' Hospital of Jinchuan Group Co., Ltd., Jinchang 737103, China
| | - Yana Bai
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 73000, China
| | - Yaqun Zhang
- Gansu Academy of Eco-environmental Sciences, Lanzhou 730020, China.
| | - Minzhen Wang
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 73000, China.
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Pan Q, Zha S, Li J, Guan H, Xia J, Yu J, Cui C, Liu Y, Xu J, Liu J, Chen G, Jiang M, Zhang J, Ding X, Zhao X. Identification of the susceptible subpopulations for wide pulse pressure under long-term exposure to ambient particulate matters. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 834:155311. [PMID: 35439510 DOI: 10.1016/j.scitotenv.2022.155311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Revised: 04/11/2022] [Accepted: 04/12/2022] [Indexed: 06/14/2023]
Abstract
Wide pulse pressure (WPP) is a preclinical indicator for arterial stiffness and cardiovascular diseases. Long-term exposure to ambient particulate matters (PMs) would increase the risk of WPP. Although reducing pollutants emissions and avoiding outdoor activity during a polluted period are effective ways to blunt the adverse effects. Identifying and protecting the susceptible subpopulation is another crucial way to reduce the disease burdens. Therefore, we aimed to identify the susceptible subpopulations of WPP under long-term exposure to PMs. The WPP was defined as pulse pressure over 60 mmHg. Three-year averages of PMs were estimated using random forest approaches. Associations between WPP and PMs exposure were estimated using generalized propensity score weighted logistic regressions. Demographic, socioeconomic characteristics, health-related behaviors, and hematological biomarkers were collected to detect the modification effects on the WPP-PMs associations. Susceptible subpopulations were defined as those with significantly higher risks of WPP under PMs exposures. The PMs-WPP associations were significant with ORs (95%CI) of 1.126 (1.094, 1.159) for PM1, 1.174 (1.140, 1.210) for PM2.5, and 1.111 (1.088, 1.135) for PM10. There were 17 subpopulations more sensitive to WPP under long-term exposure to PMs. The susceptibility was higher in subpopulations with high BMI (Q3-Q4 quartiles), high-intensive physical activity (Q3 or Q4 quartile), insufficient or excessive fruit intake (Q1 or Q5 quartile), insufficient or too long sleep length (<7 or >8 h). Subpopulations with elevated inflammation markers (WBC, LYM, BAS, EOS: Q3-Q4 quartiles) and glucose metabolism indicators (HbA1c, GLU: Q3-Q4 quartiles) were more susceptible. Besides, elder, urban living, low socioeconomic level, and excessive red meat and sodium salt intake were also related to higher susceptibility. Our findings on the susceptibility characteristics would help to develop more targeted disease prevention and therapy strategies. Health resources can be allocated more effectively by putting more consideration to subpopulations with higher susceptibility.
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Affiliation(s)
- Qing Pan
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Shun Zha
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Jingzhong Li
- Tibet Center for Disease Control and Prevention, Tibet, China
| | - Han Guan
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Jingjie Xia
- Chengdu Center for Disease Control and Prevention, Chengdu, China
| | - Jianhong Yu
- Pidu District Center for Disease Control and Prevention, Chengdu, China
| | | | - Yuanyuan Liu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jiayue Xu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jin Liu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangdong, China
| | - Min Jiang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Juying Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
| | - Xianbin Ding
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
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Wensu Z, Wenjuan W, Fenfen Z, Wen C, Li L. The effects of greenness exposure on hypertension incidence among Chinese oldest-old: a prospective cohort study. Environ Health 2022; 21:66. [PMID: 35820901 PMCID: PMC9277785 DOI: 10.1186/s12940-022-00876-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 06/27/2022] [Indexed: 06/13/2023]
Abstract
BACKGROUND Although the oldest-old (those aged over 80 years) are vulnerable to environmental factors and have the highest prevalence of hypertension, studies focusing on greenness exposure and the development of hypertension among them are insufficient. The aim of this study was to explore the association between residential greenness and hypertension in the oldest-old population. METHODS This cohort study included data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). The oldest-old were free of hypertension at baseline (2008), and hypertension events were assessed by follow-up surveys in 2011, 2014, and 2018. The one-year averages of the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) at 500-m buffer before the interview year of incident hypertension or last censoring interview were collected at the level of 652 residential units (district or county). The linear or nonlinear association between greenness and hypertension incidence was analyzed using the Cox proportional hazards model with penalized splines. The linear links between greenness and hypertension incidence were determined using the Cox proportional hazards model included a random effect term. RESULTS Among 5253 participants, the incidence rate of hypertension was 7.25 (95% confidence interval [CI]: 6.83-7.67) per 100 person-years. We found a nonlinear association between greenness exposure and hypertension risk, and the exposure-response curve showed that 1 change point existed. We examined the linear effect of greenness on hypertension by categorizing the NDVI/EVI into low and high-level exposure areas according to the change point. We found more notable protective effects of each 0.1-unit increase in greenness on hypertension incidence for participants living in the high-level greenness areas (hazard ratio (HR) = 0.60; 95% CI: 0.53-0.70 for NDVI; HR = 0.46; 95% CI: 0.37-0.57 for EVI). In contrast, no significant influence of greenness exposure on hypertension risk was found for participants living in the low-level greenness areas (HR = 0.77; 95% CI: 0.38-1.55 for NDVI; HR = 0.73; 95% CI: 0.33-1.63 for EVI). CONCLUSIONS Greenness exposure is nonlinearly associated with hypertension risk among the oldest-old, presenting its relationship in an inverse "U-shaped" curve. Greenness is a protective factor that decreases the risk of hypertension.
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Affiliation(s)
- Zhou Wensu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wang Wenjuan
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhou Fenfen
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Chen Wen
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
| | - Ling Li
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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Wang W, Zhang W, Hu D, Li L, Cui L, Liu J, Liu S, Xu J, Wu S, Deng F, Guo X. Short-term ozone exposure and metabolic status in metabolically healthy obese and normal-weight young adults: A viewpoint of inflammatory pathways. JOURNAL OF HAZARDOUS MATERIALS 2022; 424:127462. [PMID: 34653859 DOI: 10.1016/j.jhazmat.2021.127462] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 09/09/2021] [Accepted: 10/06/2021] [Indexed: 06/13/2023]
Abstract
Unhealthy metabolic status increases risks of cardiovascular and other diseases. This study aims to explore whether there is a link between O3 and metabolic health indicators through a viewpoint of inflammatory pathways. 49 metabolically healthy normal-weight (MH-NW) and 39 metabolically healthy obese (MHO) young adults aged 18-26 years were recruited from a panel study with three visits. O3 exposure were estimated based on fixed-site environmental monitoring data and time-activity diary for each participant. Compared to MH-NW people, MHO people were more susceptible to the adverse effects on metabolic status, including blood pressure, glucose, and lipid indicators when exposed to O3. For instance, O3 exposure was associated with significant decreases in high-density lipoprotein cholesterol (HDL-C), and increases in C-peptide and low-density lipoprotein cholesterol (LDL-C) among MHO people, while only weaker changes in HDL-C and LDL-C among MH-NW people. Mediation analyses indicated that leptin mediated the metabolic health effects in both groups, while eosinophils and MCP-1 were also important mediating factors for the MHO people. Although both with a metabolically healthy status, compared to normal-weight people, obese people might be more susceptible to the negative effects of O3 on metabolic status, possibly through inflammatory indicators such as leptin, eosinophils, and MCP-1.
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Affiliation(s)
- Wanzhou Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Wenlou Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Dayu Hu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Luyi Li
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Liyan Cui
- Department of Laboratory Medicine, Peking University Third Hospital, Beijing 100191, China
| | - Junxiu Liu
- Department of Otolaryngology Head and Neck Surgery, Peking University Third Hospital, Beijing 100191, China
| | - Shan Liu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Junhui Xu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China.
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
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Du X, Zhang Y, Liu C, Fang J, Zhao F, Chen C, Du P, Wang Q, Wang J, Shi W, van Donkelaar A, Martin RV, Bachwenkizi J, Chen R, Li T, Kan H, Shi X. Fine particulate matter constituents and sub-clinical outcomes of cardiovascular diseases: A multi-center study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 759:143555. [PMID: 33189387 DOI: 10.1016/j.scitotenv.2020.143555] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 10/20/2020] [Accepted: 10/30/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Limited evidence is available on the associations of long-term exposure to various fine particulate matter (PM2.5) constituents with sub-clinical outcomes of cardiovascular disease (CVD) in China. OBJECTIVES We aimed to explore the associations of PM2.5 and its constituents with blood pressure (BP), fasting glucose, and cardiac electrophysiological (ECG) properties based on a national survey of 5852 Chinese adults, who participated in the Sub-Clinical Outcome of Polluted Air study, from July 2017 to March 2019. METHODS Annual residential exposure to PM2.5 and its constituents of each subject was predicted by a satellite-based mode. We assessed the associations between five main constituents [organic matter (OM), black carbon (BC), sulfate (SO42-), nitrate (NO3-), ammonium (NH4+)] of PM2.5 and systolic BP (SBP), diastolic BP (DBP), fasting glucose, and ECG measurements (PR, QRS, QT, and QTc interval) using multivariable linear regression models. RESULTS Long-term PM2.5 exposure was significantly associated with increased levels of fasting glucose, DBP, and ECG measurements. An IQR increase in OM (8.2 μg/m3) showed considerably stronger associations with an elevated fasting glucose of 0.39 mmol/L (95%CI confidence interval: 0.28, 0.49) compared with other PM2.5 constituents. Meanwhile, an IQR increase in NO3-, NH4+ and OM had stronger associations with DBP and ECG parameters compared with BC and SO42-. CONCLUSIONS This nationwide multi-center study in China indicated that some constituents (i.e., OM, NO3-, and NH4+) might be mainly responsible for the association of PM2.5 with sub-clinical outcomes of CVD including BP, fasting glucose, and ECG measurements.
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Affiliation(s)
- Xihao Du
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Yi Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Peng Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Qiong Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jiaonan Wang
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Wanying Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Aaron van Donkelaar
- Department of Physics and Atmospheric Science, Dalhousie University, B3H 4R2 Halifax, Nova Scotia, Canada
| | - Randall V Martin
- Department of Physics and Atmospheric Science, Dalhousie University, B3H 4R2 Halifax, Nova Scotia, Canada
| | - Jovine Bachwenkizi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China; Children's Hospital of Fudan University, National Center for Children's Health, Shanghai, China.
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
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Khajavi A, Tamehri Zadeh SS, Azizi F, Brook RD, Abdi H, Zayeri F, Hadaegh F. Impact of short- and long-term exposure to air pollution on blood pressure: A two-decade population-based study in Tehran. Int J Hyg Environ Health 2021; 234:113719. [PMID: 33677362 DOI: 10.1016/j.ijheh.2021.113719] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 02/13/2021] [Accepted: 02/14/2021] [Indexed: 12/01/2022]
Abstract
Plenty of recent studies on the impact of air pollution on blood pressure (BP) exist; however, there is a lack of data for the highly polluted Eastern Mediterranean region. We evaluated the associations of short-term exposure to air pollutants with systolic BP (SBP) and diastolic BP (DBP) and the long-term impact of air pollutants on incident hypertension, among Tehranian adults. In the Tehran Lipid and Glucose Study, 4580 nonhypertensive participants aged 20-69 years (41.6% male) were followed from 2001 to 2018 through 3-year follow-ups and 4-5 examinations of them were recorded. The air pollutants included particulate matter with a diameter ≤10 μm (PM10), carbon monoxide (CO), ozone (O3), nitrogen dioxide (NO2), and sulfur dioxide (SO2). The mixed-effects transition model estimated the air pollution impact on BP. The proportional hazards Weibull model measured the long-term effects of air pollutants on the multivariate hazard of incident hypertension. The air pollutants were put in the models in the form of mean annual level, applying three versions of 1, 2, and 3 years before the follow-ups. During a median follow-up of 12.3 years, 1618 cases of hypertension were found. In the short-term, increase in CO did not affect SBP but decreased DBP with a delay effect lasting for 14 days; increase in NO2 raised SBP with a 14-day lag, however did not change DBP; increase in O3 reduced SBP with a 14-day lag but made slight non-significant increase in DBP; rise in PM10 concentrations led to increased SBP (lag 0-3 days) and DBP with lags of 0-3 days and 12-14 days and increase in SO2 made the largest increases in DBP with lags lasting for 14 days, but did not affect SBP. Regarding incident hypertension in the long-term, the increase in CO had no significant effect; increase in NO2 decreased the risk over the 2- and 3-year time spans; rise in O3, PM10, and SO2 levels increased the risk in all time spans; the largest hazard ratio [1.96 (95% CI: 1.48, 2.62)] for incident hypertension was attributable to PM10 in 3 years. Considering the major effects of air pollutants including O3, SO2, and especially PM10 on incident hypertension, urgent public health policies should be implemented to reduce the burden of air pollution in metropolitan city of Tehran.
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Affiliation(s)
- Alireza Khajavi
- Student Research Committee, Department of Biostatistics, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Robert D Brook
- Division of Cardiovascular Diseases, Wayne State University, Detroit, MI, USA
| | - Hengameh Abdi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farid Zayeri
- Department of Biostatistics, Proteomics Research Center, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Yan M, Li C, Zhang L, Chen X, Yang X, Shan A, Li X, Wu H, Ma Z, Zhang Y, Guo P, Dong G, Liu Y, Chen J, Wang T, Zhao B, Tang NJ. Association between long-term exposure to Sulfur dioxide pollution and hypertension incidence in northern China: a 12-year cohort study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:21826-21835. [PMID: 32279275 DOI: 10.1007/s11356-020-08572-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Accepted: 03/23/2020] [Indexed: 06/11/2023]
Abstract
Several studies have researched the short-term effect of sulfur dioxide (SO2) exposure on hypertension. However, no evidence has provided the relationship between long-term high pollution exposure of SO2 and morbidity of hypertension in cohort studies in China. This retrospective cohort study aimed to evaluate this association. We used Cox proportional hazards regression models to examine the hazard ratios (HR) for hypertension risks from 1998 to 2009 associated with accumulative exposure of air SO2 among adults in northern China. Annual average concentrations of sulfur dioxide (SO2) were obtained from 15 local environmental monitoring centers. Hypertension was identified according to self-reported diagnostic time and treatment for hypertension with anti-hypertensive medication. Among 37,386 participants, 2619 new cases of hypertension were identified during 426,334 person-years. In the fully adjusted model, HR and 95% confidence interval (CI) of hypertension incidence for each 10 μg/m3 increase in SO2 were 1.176 (1.163 and 1.189). Results from stratified analyses suggested that effects of SO2 on hypertension morbidity were more pronounced in participants < 60 years old, tea drinkers, and those with high education, high poultry consumption, and active (occasional and frequent) exercise. We found that long-term exposure to high levels of SO2 increased the risk of incidence of hypertension in China.
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Affiliation(s)
- Mengfan Yan
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, No. 22 Meteorological Station Road, Heping District, Tianjin, 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Chaokang Li
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, No. 22 Meteorological Station Road, Heping District, Tianjin, 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Liwen Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, No. 22 Meteorological Station Road, Heping District, Tianjin, 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Xi Chen
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, No. 22 Meteorological Station Road, Heping District, Tianjin, 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Xueli Yang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, No. 22 Meteorological Station Road, Heping District, Tianjin, 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Anqi Shan
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, No. 22 Meteorological Station Road, Heping District, Tianjin, 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Xuejun Li
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, No. 22 Meteorological Station Road, Heping District, Tianjin, 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Hui Wu
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, No. 22 Meteorological Station Road, Heping District, Tianjin, 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Zhao Ma
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, No. 22 Meteorological Station Road, Heping District, Tianjin, 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Yu Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, No. 22 Meteorological Station Road, Heping District, Tianjin, 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Pengyi Guo
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, No. 22 Meteorological Station Road, Heping District, Tianjin, 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Guanghui Dong
- Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yamin Liu
- School of Medicine and Life Sciences, Shandong Academy of Medical Sciences, Jinan, 250062, China
| | - Jie Chen
- Department of Occupational and Environmental Health, School of Public Health, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110122, China
| | - Tong Wang
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China
| | - Baoxin Zhao
- Taiyuan Center for Disease Control and Prevention, Taiyuan, 030001, China
| | - Nai-Jun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, No. 22 Meteorological Station Road, Heping District, Tianjin, 300070, China.
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, 300070, China.
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China.
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Cao W, Dong M, Sun X, Liu X, Xiao J, Feng B, Zeng W, Hu J, Li X, Guo L, Wan D, Sun J, Ning D, Wang J, Chen D, Zhang Y, Du Q, Ma W, Liu T. Associations of maternal ozone exposures during pregnancy with maternal blood pressure and risk of hypertensive disorders of pregnancy: A birth cohort study in Guangzhou, China. ENVIRONMENTAL RESEARCH 2020; 183:109207. [PMID: 32050130 DOI: 10.1016/j.envres.2020.109207] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 01/14/2020] [Accepted: 01/30/2020] [Indexed: 06/10/2023]
Abstract
Although studies have assessed the associations of maternal exposure to ozone (O3) during pregnancy with blood pressure and the risk of hypertensive disorders of pregnancy (HDP), the results were inconsistent. Furthermore, no studies have been conducted in China where the ambient O3 concentration continuedly increased. The present study aimed to estimate the effects of maternal exposure to O3 during pregnancy on the HDP risk, systolic blood pressure (SBP), diastolic blood pressure (DBP) and pulse pressure (PP). All participants of pregnant women were selected from the prospective birth cohort study on Prenatal Environments and Offspring Health conducted in Guangzhou, China. A spatiotemporal land-use-regression model was used to estimate individual monthly air pollution exposure from three months before pregnancy to childbirth date. Information on HDP, SBP, DBP and PP was obtained from maternal medical records. A Logistic regression model and a mixed linear model were used to estimate the associations of maternal exposure to O3 with the risk of HDP and blood pressure (SBP, DBP and PP), respectively. We found significant associations of maternal exposure to O3 during the third (OR = 1.31, 95%CI: 1.07, 1.60) and the second month (OR = 1.25, 95%CI: 1.02, 1.51) before pregnancy with the risk of HDP. Observed significantly positive associations of O3 exposures with SBP, DBP and PP during the two months before pregnancy and during the early pregnancy. The peak effects of O3 exposure on SBP, DBP and PP were respectively observed during the second month of pregnancy (β = 1.07 mmHg, 95%CI: 0.84, 1.31 mmHg), the first month before pregnancy (β = 0.40 mmHg, 95%CI: 0.21, 0.50 mmHg) and the second month of pregnancy (β = 0.78 mmHg, 95%CI: 0.59, 0.97 mmHg). Our results suggest that maternal exposure to O3 were positively associated with blood pressure and the risk of HDP, and the period from three months before pregnancy to the first trimester might be the critical exposure window.
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Affiliation(s)
- Wenjun Cao
- General Practice Center, Nanhai Hospital, Southern Medical University, Foshan, 528200, China
| | - Moran Dong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Xiaoli Sun
- Gynecology Department, Guangdong Women and Children Hospital, Guangzhou, 511442, China
| | - Xin Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Baixiang Feng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Weilin Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Xing Li
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Lingchuan Guo
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Donghua Wan
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China; General Practice Center, Nanhai Hospital, Southern Medical University, Foshan, 528200, China
| | - Jiufeng Sun
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Dan Ning
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jiaqi Wang
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Dengzhou Chen
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Yonghui Zhang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Qingfeng Du
- General Practice Center, Nanhai Hospital, Southern Medical University, Foshan, 528200, China
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China; General Practice Center, Nanhai Hospital, Southern Medical University, Foshan, 528200, China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
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9
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Song J, Zhu J, Tian G, Li H, Li H, An Z, Jiang J, Fan W, Wang G, Zhang Y, Wu W. Short time exposure to ambient ozone and associated cardiovascular effects: A panel study of healthy young adults. ENVIRONMENT INTERNATIONAL 2020; 137:105579. [PMID: 32086080 DOI: 10.1016/j.envint.2020.105579] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Revised: 02/11/2020] [Accepted: 02/12/2020] [Indexed: 06/10/2023]
Abstract
The evidence that exposure to ambient ozone (O3) causes acute cardiovascular effects appears inconsistent. A repeated-measure study with 61 healthy young volunteers was conducted in Xinxiang, Central China. Real-time concentrations of O3 were monitored. Cardiovascular outcomes including blood pressure (BP), heart rate (HR), serum levels of high sensitivity C-reactive protein (hs-CRP), 8-hydroxy-2'-deoxyguanosine (8-OHdG), tissue-type plasminogen activator (t-PA), and platelet-monocyte aggregation (PMA) were repeated measured. Linear mixed-effect models were used to analyze the association of ambient O3 with these cardiovascular outcomes. Additionally, the modifying effects of glutathione S-transferase mu 1 (GSTM1) and glutathione S-transferase theta 1 (GSTT1) polymorphisms were estimated to explore the potential mechanisms and role of the association between O3 exposure and the above cardiovascular outcomes. A 10 μg/m3 increase in O3 was associated with increases of 9.2 mmHg (95% confidence interval [CI]: 2.5, 15.9), 7.2 mmHg (95% CI: 0.8, 13.6), and 21.2 bpm (95% CI: 5.8, 36.6) in diastolic BP (DBP, lag1), mean arterial BP (MABP, lag1), and HR (lag01), respectively. Meanwhile, the serum concentrations of hs-CRP, 8-OHdG, and t-PA were all increased by O3 exposure, but the PMA level was decreased. Stratification analyses showed that the estimated effects of O3 on DBP, MABP, and HR in GSTM1-sufficient subjects were significantly higher than in GSTM1-null subjects. Moreover, GSTM1-null genotype enhanced O3-induced increases, albeit insignificant, in levels of serum hs-CRP, 8-OHdG, and t-PA compared with GSTM1-sufficient genotype. Insignificant increases in hs-CRP and t-PA were also detected in GSTT1-null subjects. Taken together, our findings indicate that acute exposure to ambient O3 induces autonomic alterations, systemic inflammation, oxidative stress, and fibrinolysis in healthy young subjects. GSTM1 genotype presents the trend of modifying O3-induced cardiovascular effects.
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Affiliation(s)
- Jie Song
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Jingfang Zhu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Ge Tian
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Haibin Li
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Huijun Li
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Zhen An
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Jing Jiang
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Wei Fan
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Gui Wang
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Yange Zhang
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Weidong Wu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China.
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10
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Stanković A, Bogdanović D, Nikolić M, Anđelković Apostolović M. Does short-term air pollution exposure have effects on blood pressure and heart rate in healthy women in the city of Niš, Serbia? Cent Eur J Public Health 2019; 26:310-315. [PMID: 30660143 DOI: 10.21101/cejph.a5104] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Epidemiological research has shown that air pollution is associated with cardiovascular events, but little is known about short-term effects on blood pressure (BP) and heart rate (HR) in Serbian population. The present study assessed the short-term association between black smoke (BS) and sulphur dioxide (SO2) levels in urban air and the daily values of blood pressure and heart rate in 98 healthy nonsmoking female volunteers. METHODS Generalized regression model was fitted controlling for temperature, relative humidity, air pressure, season, and the day of the week. RESULTS There was no association between short-term air pollution exposure and BP and HR, the exposure showed a tendency toward a decrease of diastolic BP and HR, but with no statistical significance. CONCLUSION The present findings did not support the conclusion that current levels of ambient BS and SO2 may have an effect on blood pressure and heart rate in women.
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Affiliation(s)
- Aleksandra Stanković
- Department of Hygiene, Medical Ecology, Medical Faculty, University of Nis, Nis, Serbia.,Centre for Hygiene and Human Ecology, Public Health Institute Nis, Nis, Serbia
| | - Dragan Bogdanović
- Department for Biomedical Science, State University of Novi Pazar, Novi Pazar, Serbia.,Centre for Informatics and Biostatistics in Health Care, Public Health Institute Nis, Nis, Serbia
| | - Maja Nikolić
- Department of Hygiene, Medical Ecology, Medical Faculty, University of Nis, Nis, Serbia.,Centre for Hygiene and Human Ecology, Public Health Institute Nis, Nis, Serbia
| | - Marija Anđelković Apostolović
- Centre for Informatics and Biostatistics in Health Care, Public Health Institute Nis, Nis, Serbia.,Department for Informatics and Biostatistics, Medical Faculty, University of Nis, Nis, Serbia
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11
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Xia Y, Niu Y, Cai J, Lin Z, Liu C, Li H, Chen C, Song W, Zhao Z, Chen R, Kan H. Effects of Personal Short-Term Exposure to Ambient Ozone on Blood Pressure and Vascular Endothelial Function: A Mechanistic Study Based on DNA Methylation and Metabolomics. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:12774-12782. [PMID: 30259740 DOI: 10.1021/acs.est.8b03044] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Short-term exposure to ambient ozone is associated with adverse cardiovascular effects, with inconsistent evidence on the molecular mechanisms. We conducted a longitudinal panel study among 43 college students in Shanghai to explore the effects of personal ozone exposure on blood pressure (BP), vascular endothelial function, and the potential molecular mechanisms. We measured real-time personal ozone exposure levels, serum angiotensin-converting enzyme (ACE) and endothelin-1 (ET-1), and locus-specific DNA methylation of ACE and EDN1 (coding ET-1). We used an untargeted metabolomic approach to explore potentially important metabolites. We applied linear mixed-effect models to examine the effects of ozone on the above biomarkers. An increase in 2 h-average ozone exposure was significantly associated with elevated levels of BP, ACE, and ET-1. ACE and EDN1 methylation decreased with ozone exposure, but the magnitude differed by genomic loci. Metabolomics analysis showed significant changes in serum lipid metabolites following ozone exposure that are involved in maintaining vascular endothelial function. Our findings suggested that acute exposure to ambient ozone can elevate serum levels of ACE and ET-1, decrease their DNA methylation, and alter the lipid metabolism, which may be partly responsible for the effects of ozone on BP and vascular endothelial function.
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Affiliation(s)
- Yongjie Xia
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment , Fudan University , Shanghai 200032 , China
| | - Yue Niu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment , Fudan University , Shanghai 200032 , China
| | - Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment , Fudan University , Shanghai 200032 , China
| | - Zhijing Lin
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment , Fudan University , Shanghai 200032 , China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment , Fudan University , Shanghai 200032 , China
| | - Huichu Li
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment , Fudan University , Shanghai 200032 , China
| | - Chen Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment , Fudan University , Shanghai 200032 , China
| | - Weimin Song
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment , Fudan University , Shanghai 200032 , China
| | - Zhuohui Zhao
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment , Fudan University , Shanghai 200032 , China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment , Fudan University , Shanghai 200032 , China
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3) , Fudan University , Shanghai 200032 , China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment , Fudan University , Shanghai 200032 , China
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3) , Fudan University , Shanghai 200032 , China
- Key Laboratory of Reproduction Regulation of National Population and Family Planning Commission, Shanghai Institute of Planned Parenthood Research , Institute of Reproduction and Development, Fudan University , Shanghai 200032 , China
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12
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Rich DQ, Balmes JR, Frampton MW, Zareba W, Stark P, Arjomandi M, Hazucha MJ, Costantini MG, Ganz P, Hollenbeck-Pringle D, Dagincourt N, Bromberg PA. Cardiovascular function and ozone exposure: The Multicenter Ozone Study in oldEr Subjects (MOSES). ENVIRONMENT INTERNATIONAL 2018; 119:193-202. [PMID: 29980042 DOI: 10.1016/j.envint.2018.06.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 05/08/2018] [Accepted: 06/12/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND To date, there have been relatively few studies of acute cardiovascular responses to controlled ozone inhalation, although a number of observational studies have reported significant positive associations between both ambient ozone levels and acute cardiovascular events and long-term ozone exposure and cardiovascular mortality. OBJECTIVES We hypothesized that short-term controlled exposure to low levels of ozone in filtered air would induce autonomic imbalance, repolarization abnormalities, arrhythmia, and vascular dysfunction. METHODS This randomized crossover study of 87 healthy volunteers 55-70 years of age was conducted at three sites using a common protocol, from June 2012 to April 2015. Subjects were exposed for 3 h in random order to 0 ppb (filtered air), 70 ppb ozone, and 120 ppb ozone, alternating 15 min of moderate exercise with 15 min of rest. A suite of cardiovascular endpoints was measured the day before, the day of, and up to 22 h after each exposure. Mixed effect linear and logit models evaluated the impact of exposure to ozone on pre-specified primary and secondary outcomes. Site and time were included in the models. RESULTS We found no significant effects of ozone exposure on any of the primary or secondary measures of autonomic function, repolarization, ST segment change, arrhythmia, or vascular function (systolic blood pressure and flow-mediated dilation). CONCLUSIONS In this multicenter study of older healthy women and men, there was no convincing evidence for acute effects of 3-h, relatively low-level ozone exposures on cardiovascular function. However, we cannot exclude the possibility of effects with higher ozone concentrations, more prolonged exposure, or in subjects with underlying cardiovascular disease. Further, we cannot exclude the possibility that exposure to ambient ozone and other pollutants in the days before the experimental exposures obscured or blunted cardiovascular biomarker response to the controlled ozone exposures.
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Affiliation(s)
- David Q Rich
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, United States of America; Department of Medicine, University of Rochester Medical Center, Rochester, NY, United States of America; Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY, United States of America.
| | - John R Balmes
- Department of Medicine, University of California at San Francisco, San Francisco, CA, United States of America; Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, United States of America
| | - Mark W Frampton
- Department of Medicine, University of Rochester Medical Center, Rochester, NY, United States of America; Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY, United States of America
| | - Wojciech Zareba
- Department of Medicine, University of Rochester Medical Center, Rochester, NY, United States of America
| | - Paul Stark
- New England Research Institute, Watertown, MA, United States of America
| | - Mehrdad Arjomandi
- Department of Medicine, University of California at San Francisco, San Francisco, CA, United States of America; San Francisco Veterans Affairs Medical Center, San Francisco, CA, United States of America
| | - Milan J Hazucha
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, United States of America; Center for Environmental Medicine, Asthma and Lung Biology, University of North Carolina, Chapel Hill, NC, United States of America
| | | | - Peter Ganz
- Department of Medicine, University of California at San Francisco, San Francisco, CA, United States of America
| | | | | | - Philip A Bromberg
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, United States of America; Center for Environmental Medicine, Asthma and Lung Biology, University of North Carolina, Chapel Hill, NC, United States of America
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13
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Cardiorespiratory Effects of Air Pollution in a Panel Study of Winter Outdoor Physical Activity in Older Adults. J Occup Environ Med 2018; 60:673-682. [DOI: 10.1097/jom.0000000000001334] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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14
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Yang X, Jia X, Dong W, Wu S, Miller MR, Hu D, Li H, Pan L, Deng F, Guo X. Cardiovascular benefits of reducing personal exposure to traffic-related noise and particulate air pollution: A randomized crossover study in the Beijing subway system. INDOOR AIR 2018; 28:777-786. [PMID: 29896813 DOI: 10.1111/ina.12485] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Accepted: 06/08/2018] [Indexed: 05/06/2023]
Abstract
To assess the cardiovascular benefits of protecting against particulate air pollution and noise, we conducted a randomized crossover study with 40 young healthy college students from March to May 2017 in the underground subway, Beijing. Participants each received 4 treatments (no intervention phase [NIP], respirator intervention phase [RIP], headphone intervention phase [HIP], respirator plus headphone intervention phase [RHIP]) in a randomized order during 4 different study periods with 2-week washout intervals. We measured personal exposure to particulate matter (PM), noise and electrocardiogram (ECG) parameters (heart rate variability (HRV), heart rate (HR) and ST segment changes), ambulatory blood pressure (BP) continuously for 4 hours to investigate the cardiovascular effects. Compared with NIP, most of the HRV parameters increased, especially high frequency (HF) [21.1% (95% CI: 15.7%, 26.9%), 18.2% (95% CI: 12.8%, 23.9%), and 35.5% (95% CI: 29.3%, 42.0%) in RIP, HIP, and RHIP, respectively], whereas ST segment elevation and HR decreased for all 3 modes of interventions. However, no significant differences were observed in BP among the 4 treatments. In summary, short-term wearing of a respirator and/or headphone may be an effective way to minimize cardiovascular risk induced by air pollution in the subway by improving autonomic nervous function.
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Affiliation(s)
- X Yang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - X Jia
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - W Dong
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - S Wu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - M R Miller
- University/BHF Centre for Cardiovascular Science, Queens Medical Research Institute, The University of Edinburgh, Edinburgh, UK
| | - D Hu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - H Li
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - L Pan
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - F Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - X Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
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15
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Cui X, Li F, Xiang J, Fang L, Chung MK, Day DB, Mo J, Weschler CJ, Gong J, He L, Zhu D, Lu C, Han H, Zhang Y, Zhang JJ. Cardiopulmonary effects of overnight indoor air filtration in healthy non-smoking adults: A double-blind randomized crossover study. ENVIRONMENT INTERNATIONAL 2018; 114:27-36. [PMID: 29475121 DOI: 10.1016/j.envint.2018.02.010] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2017] [Revised: 02/07/2018] [Accepted: 02/07/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND More than 90% of the world's population lives in areas where outdoor air pollution levels exceed health-based limits. In these areas, individuals may use indoor air filtration, often on a sporadic basis, in their residences to reduce exposure to respirable particles (PM2.5). Whether this intervention can lead to improvements in health outcomes has not been evaluated. METHODS Seventy non-smoking healthy adults, aged 19 to 26 years, received both true and sham indoor air filtration in a double-blinded randomized crossover study. Each filtration session was approximately 13 h long. True and sham filtration sessions were separated by a two-week washout interval. The study was carried out in a suburb of Shanghai. RESULTS During the study period, outdoor PM2.5 concentrations ranged from 18.6 to 106.9 μg/m3, which overlapped with levels measured in Western Europe and North America. Compared to sham filtration, true filtration on average decreased indoor PM2.5 concentration by 72.4% to 10.0 μg/m3 and particle number concentration by 59.2% to 2316/cm3. For lung function measured immediately after the end of filtration, true filtration significantly lowered airway impedance at 5 Hz (Z5) by 7.1% [95% CI: 2.4%, 11.9%], airway resistance at 5 Hz (R5) by 7.4% [95% CI: 2.4%, 12.5%], and small airway resistance (R5-R20) by 20.3% [95% CI: 0.1%, 40.5%], reflecting improved airway mechanics especially for the small airways. However, no significant improvements for spirometry indicators (FEV1, FVC) were observed. True filtration also significantly lowered von Willebrand factor (VWF) by 26.9% [95% CI: 7.3%, 46.4%] 24 h after the end of filtration, indicating reduced risk for thrombosis. Stratified analysis in male and female participants showed that true filtration significantly decreased pulse pressure by 3.3% [95% CI: 0.8%, 7.4%] in females, and significantly reduced VWF by 42.4% [95% CI: 17.4%, 67.4%] and interleukin-6 by 22.6% [95% CI: 0.4%, 44.9%] in males. Effect modification analyses indicated that filtration effects in male and female participants were not significantly different. CONCLUSION A single overnight residential air filtration, capable of reducing indoor particle concentrations substantially, can lead to improved airway mechanics and reduced thrombosis risk.
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Affiliation(s)
- Xiaoxing Cui
- Nicholas School of the Environment, Duke University, Durham, NC 27705, USA.
| | - Feng Li
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
| | - Jianbang Xiang
- Department of Building Science, Tsinghua University, Beijing 100084, China; Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Beijing 100084, China.
| | - Lin Fang
- Department of Building Science, Tsinghua University, Beijing 100084, China; Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Beijing 100084, China.
| | - Ming Kei Chung
- Department of Biomedical Informatics, Harvard Medical School, Harvard University, Boston, MA 02115, USA; Duke Kunshan University, Kunshan, Jiangsu Province 215316, China.
| | - Drew B Day
- Nicholas School of the Environment, Duke University, Durham, NC 27705, USA; Global Health Institute, Duke University, Durham, NC 27708, USA.
| | - Jinhan Mo
- Department of Building Science, Tsinghua University, Beijing 100084, China; Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Beijing 100084, China.
| | - Charles J Weschler
- Department of Building Science, Tsinghua University, Beijing 100084, China; Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Beijing 100084, China; Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ 08854, USA.
| | - Jicheng Gong
- Global Health Institute, Duke University, Durham, NC 27708, USA; BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
| | - Linchen He
- Nicholas School of the Environment, Duke University, Durham, NC 27705, USA.
| | - Dong Zhu
- Department of Respiratory Medicine, Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai 201620, China.
| | - Chengjian Lu
- Department of Respiratory Medicine, Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai 201620, China.
| | - Hailong Han
- Global Health Institute, Duke University, Durham, NC 27708, USA.
| | - Yinping Zhang
- Department of Building Science, Tsinghua University, Beijing 100084, China; Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Beijing 100084, China.
| | - Junfeng Jim Zhang
- Nicholas School of the Environment, Duke University, Durham, NC 27705, USA; Duke Kunshan University, Kunshan, Jiangsu Province 215316, China; Global Health Institute, Duke University, Durham, NC 27708, USA; BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
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16
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Yang BY, Qian Z, Howard SW, Vaughn MG, Fan SJ, Liu KK, Dong GH. Global association between ambient air pollution and blood pressure: A systematic review and meta-analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 235:576-588. [PMID: 29331891 DOI: 10.1016/j.envpol.2018.01.001] [Citation(s) in RCA: 317] [Impact Index Per Article: 52.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Revised: 12/07/2017] [Accepted: 01/01/2018] [Indexed: 05/21/2023]
Abstract
Although numerous studies have investigated the association of ambient air pollution with hypertension and blood pressure (BP), the results were inconsistent. We performed a comprehensive systematic review and meta-analysis of these studies. Seven international and Chinese databases were searched for studies examining the associations of particulate (diameter<2.5 μm (PM2.5), 2.5-10 μm (PM2.5-10) or >10 μm (PM10)) and gaseous (sulfur dioxide (SO2), nitrogen dioxide (NO2), nitrogen oxides (NOx), ozone (O3), carbon monoxide (CO)) air pollutants with hypertension or BP. Odds ratios (OR), regression coefficients (β) and their 95% confidence intervals were calculated to evaluate the strength of the associations. Subgroup analysis, sensitivity analysis, and meta-regression analysis were also conducted. The overall meta-analysis showed significant associations of long-term exposures to PM2.5 with hypertension (OR = 1.05), and of PM10, PM2.5, and NO2 with DBP (β values: 0.47-0.86 mmHg). In addition, short-term exposures to four (PM10, PM2.5, SO2, NO2), two (PM2.5 and SO2), and four air pollutants (PM10, PM2.5, SO2, and NO2), were significantly associated with hypertension (ORs: 1.05-1.10), SBP (β values: 0.53-0.75 mmHg) and DBP (β values: 0.15-0.64 mmHg), respectively. Stratified analyses showed a generally stronger relationship among studies of men, Asians, North Americans, and areas with higher air pollutant levels. In conclusion, our study indicates a positive association between ambient air pollution and increased BP and hypertension. Geographical and socio-demographic factors may modify the pro-hypertensive effects of air pollutants.
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Affiliation(s)
- Bo-Yi Yang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Zhengmin Qian
- Department of Epidemiology, College for Public Health and Social Justice, Saint Louis University, Saint Louis 63104, USA
| | - Steven W Howard
- Department of Health Management and Policy, College for Public Health and Social Justice, Saint Louis University, Saint Louis 63104, USA
| | - Michael G Vaughn
- School of Social Work, College for Public Health and Social Justice, Saint Louis University, Saint Louis 63104, USA
| | - Shu-Jun Fan
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
| | - Kang-Kang Liu
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Guang-Hui Dong
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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Yin W, Hou J, Xu T, Cheng J, Li P, Wang L, Zhang Y, Wang X, Hu C, Huang C, Yu Z, Yuan J. Obesity mediated the association of exposure to polycyclic aromatic hydrocarbon with risk of cardiovascular events. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 616-617:841-854. [PMID: 29122344 DOI: 10.1016/j.scitotenv.2017.10.238] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2017] [Revised: 10/04/2017] [Accepted: 10/22/2017] [Indexed: 05/21/2023]
Abstract
Exposure to polycyclic aromatic hydrocarbons (PAHs) could cause high blood pressure (BP) and increased risk for atherosclerotic cardiovascular disease (ASCVD). However, the mechanisms underlying the relationship between them were unclear. We investigated potential mediation effect of obesity on the association of exposure to PAHs with high BP and increased risk for ASCVD. In the repeated measures study, 106 community-dwelling residents in Wuhan, China finished the physical examination in the winter and summer seasons, eight urinary PAHs metabolites were measured. Associations of urinary PAHs with high BP and increased risk for ASCVD were assessed using either linear mixed effect models or generalized estimating equations models. Mediation analysis was performed to evaluate the mediating effect of obesity on the association of urinary PAHs metabolites with high BP or increased risk of ASCVD. We observed the positive association between urinary PAHs metabolites and BP or the odds ratios for high BP (all P<0.05). Additionally, each one-unit increase in ln-transformed urinary levels of 4-hydroxyphenanthrene or the total of PAH metabolites was associated with a 12.63% or 11.91% increase in the estimated 10-year ASCVD risk (both P<0.05). The waist-to-height ratio mediated 29.0% of the association of urinary 4-hydroxyphenanthrene with increased risk of ASCVD (P<0.05). The findings suggest that PAHs exposure may be associated with elevated BP and an increased risk of ASCVD. Obesity may partially mediate the association between PAHs exposure and higher BP or increased risk of ASCVD.
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Affiliation(s)
- Wenjun Yin
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China
| | - Jian Hou
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China
| | - Tian Xu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China
| | - Juan Cheng
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China
| | - Pei Li
- State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environment and Resources, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Lin Wang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China
| | - Youjian Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China
| | - Xian Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China
| | - Chen Hu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China
| | - Cheng Huang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China
| | - Zhiqiang Yu
- State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environment and Resources, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China.
| | - Jing Yuan
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, PR China.
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Tsai SS, Tsai CY, Yang CY. Fine particulate air pollution associated with increased risk of hospital admissions for hypertension in a tropical city, Kaohsiung, Taiwan. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART A 2018; 81:567-575. [PMID: 29667508 DOI: 10.1080/15287394.2018.1460788] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2018] [Accepted: 04/01/2018] [Indexed: 05/19/2023]
Abstract
The aim of this study was to assess whether a correlation exists between fine particles (PM2.5) levels and number of hospital admissions for hypertension in Kaohsiung, Taiwan. Hospital admission frequency and ambient air pollution data were obtained for Kaohsiung for 2009-2013. A time-stratified case-crossover method was used to estimate relative risk for hospital admissions, controlling for weather, day of the week, seasonality, and long-term time trends. Odds ratios and 95% confidence intervals were calculated for a 10 µg/m3 increment of PM2.5 for lags from days 0 to 6. Data showed no significant associations between PM2.5 levels and number of hypertension-related hospital admissions on warm days (>25°C). However, on cool days (<25°C), a significant positive association was found with frequency of hypertension admissions in the single-pollutant model (without adjusting for other pollutants) with a 10 µg/m3 rise in PM2.5 on day of admission (lag 0) associated with a 12% increase in number of admissions for hypertension. In the two-pollutant model, the association of PM2.5 with rate of hypertension hospitalizations remained significant after including SO2 or O3 on lag day 0. Data demonstrate that an association between short-term exposure to PM2.5 and elevated risk of hypertension-related hospital admissions may exist in Kaohsiung, Taiwan, a tropical city.
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Affiliation(s)
- Shang-Shyue Tsai
- a Department of Healthcare Administration , I-Shou University , Kaohsiung , Taiwan
| | - Chia-Ying Tsai
- b Department of Management , Kaohsiung Municipal Cijin Hospital, Kaohsiung Medical University , Kaohsiung , Taiwan
| | - Chun-Yuh Yang
- c Department of Public Health , College of Health Sciences, Kaohsiung Medical University , Kaohsiung , Taiwan
- d Division of Environmental Health and Occupational Medicine , National Health Research Institute , Miaoli , Taiwan
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Lin Z, Niu Y, Chen R, Xu W, Li H, Liu C, Cai J, Zhao Z, Kan H, Qiao L. Fine particulate matter constituents and blood pressure in patients with chronic obstructive pulmonary disease: A panel study in Shanghai, China. ENVIRONMENTAL RESEARCH 2017; 159:291-296. [PMID: 28825983 DOI: 10.1016/j.envres.2017.08.024] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Revised: 08/03/2017] [Accepted: 08/11/2017] [Indexed: 06/07/2023]
Abstract
OBJECTIVE The evidence is limited about the potentially different health effects of various chemical constituents of fine particulate matter (PM2.5). We thus assessed the acute effects of various chemical constituents of PM2.5 on blood pressure (BP). METHODS We performed a longitudinal panel study with six repeated visits in 28 urban residents with chronic obstructive pulmonary disease in Shanghai, China from May to July, 2014. Twelve (43%) of them took antihypertensive medications. We measured resting BP by using a mercury sphygmomanometer and monitored real-time concentrations of PM2.5 constituents at a nearby site. Based on the linear mixed-effects model, we evaluated the effects of 10 major constituents in PM2.5 on BP, using a single-constituent model and a constituent-residual model after accounting for the multicollinearity. RESULTS We obtained a total of 168 pairs of effective BP measurements during the study period. There are moderate or high correlations among various PM2.5 constituents. An interquartile range increase of PM2.5 (19.1μg/m3) was associated with increments of 1.90mmHg [95% confidence interval (CI): 0.66, 3.13] in systolic BP, 0.68mmHg (95%CI: -0.02, 1.37) in diastolic BP and 1.23mmHg (95%CI: 0.19, 2.29) in pulse pressure. Some constituents of PM2.5, including organic carbon, elemental carbon, nitrate and ammonium, were robustly associated with elevated BP after controlling for total PM2.5 mass and accounting for multi-collinearity. Two constituents (magnesium and calcium) were associated with decreased BP. CONCLUSIONS Organic carbon, elemental carbon, nitrate and ammonium may be mainly responsible for elevated BP from a short-term exposure to PM2.5.
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Affiliation(s)
- Zhijing Lin
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Yue Niu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Wenxi Xu
- Huangpu District Center for Disease Control and Prevention, Shanghai 200023, China
| | - Huichu Li
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Zhuohui Zhao
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China; Key Laboratory of Reproduction Regulation of National Population and Family Planning Commission, Shanghai Institute of Planned Parenthood Research, Institute of Reproduction and Development, Fudan University, Shanghai 200032, China.
| | - Liping Qiao
- State Environmental Protection Key Lab of the Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233, China.
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Yin W, Hou J, Xu T, Cheng J, Wang X, Jiao S, Wang L, Huang C, Zhang Y, Yuan J. Association of individual-level concentrations and human respiratory tract deposited doses of fine particulate matter with alternation in blood pressure. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2017; 230:621-631. [PMID: 28710980 DOI: 10.1016/j.envpol.2017.07.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 06/13/2017] [Accepted: 07/03/2017] [Indexed: 06/07/2023]
Abstract
Fine particulate matter (PM2.5) contributes to the risk of cardiovascular events, partially owing to its deposition in the human respiratory tract. To investigate short-term effects of ambient PM2.5 exposure on alternation of blood pressure (BP), this study was conducted during the winter-summer period between 2014 and 2015. The study included 106 community residents in Wuhan city, China. We repeatedly monitored the household and outdoor PM2.5 concentrations as well as individual-level PM2.5 in each season, and then assessed personal PM2.5 exposure (including deposited doses of PM2.5 in the human respiratory tract) by using different methodology (such as using a dosimetry model). All participants took part in the physical examination, including the inflammatory indicators, BP and lung function parameters measurements. Subsequently, we assessed the health damage of exposure to PM2.5 using generalized additive models. We observed increased BP at 2-day lag for an interquartile range increase in ambient fixed-site, households, individual-level PM2.5 exposure and the corresponding lung deposited doses of each exposure concentration (p < 0.05), decreased BP at 3-day lag for an interquartile range increase in ambient fixed-site, households PM2.5 and the corresponding lung deposited doses of each exposure concentration (p < 0.05). The estimated deposited doses of PM2.5 by the deposition fractions in this study and the referenced deposition fractions by previous reported method were equivalent associated with alternation in BP. In conclusion, lung deposited dose of PM2.5 as a quantitative indicator may be used to assess adverse cardiovascular effects following the systemic inflammation. However, we require careful assessment of acute adverse cardiovascular effects using ambient fixed-site PM2.5 after short-term PM2.5 exposure.
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Affiliation(s)
- Wenjun Yin
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, PR China
| | - Jian Hou
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, PR China
| | - Tian Xu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, PR China
| | - Juan Cheng
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, PR China
| | - Xiaoying Wang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, PR China
| | - Shilin Jiao
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, PR China
| | - Lin Wang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, PR China
| | - Cheng Huang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, PR China
| | - Youjian Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, PR China
| | - Jing Yuan
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, PR China.
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The Association of Domestic Incense Burning with Hypertension and Blood Pressure in Guangdong, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:ijerph14070788. [PMID: 28708101 PMCID: PMC5551226 DOI: 10.3390/ijerph14070788] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Revised: 07/03/2017] [Accepted: 07/07/2017] [Indexed: 01/19/2023]
Abstract
Domestic incense burning is a common activity in China. Although it generates serious air pollution and has been linked to various health outcomes, it remains unknown whether it is associated with blood pressure and hypertension. A community-based survey including 1153 hypertensive subjects and 4432 normotensive participants in Guangdong (China) was used to examine this question. Two-level logistic regression was used to estimate the odds ratio (OR) and 95% confidence interval (CI). The analyses showed that, compared with non-users, OR of hypertension was 1.24 (95% CI: 1.03–1.50) for users, and 1.37 (95% CI: 1.04–1.80) for daily users with a clear dose-response relationship. The estimated increases in systolic and diastolic blood pressures were 1.02 mmHg (95% CI: 0.06–1.99) and 1.26 mmHg (95% CI: 0.69–1.83) for users, 0.67 mmHg (95% CI: −0.35–1.68) and 1.25 mmHg (95% CI: 0.66–1.85) for occasional users, and 2.09 mmHg (95% CI: 0.79–3.39) and 1.28 mmHg (95% CI: 0.52–2.05) for daily users, respectively. The results remained after adjusting for potential confounders and more pronounced associations were found among females. This study suggests that domestic incense burning may increase the risk of hypertension and blood pressure in the study population, and women are more vulnerable to these effects than men.
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Chiu HF, Tsai SS, Yang CY. Short-term effects of fine particulate air pollution on hospital admissions for hypertension: A time-stratified case-crossover study in Taipei. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART A 2017; 80:258-265. [PMID: 28598272 DOI: 10.1080/15287394.2017.1321095] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
This study was undertaken to determine whether there was a correlation between fine particle (PM2.5) levels and hospital admissions for hypertension in Taipei, Taiwan. Hospital admissions for hypertension and ambient air pollution data for Taipei were obtained for the period from 2009 to 2013. The relative risk of hospital admissions was estimated using a case-crossover approach, controlling for weather variables, day of the week, seasonality, and long-term time trends. For the single pollutant model (without adjustment for other pollutants), the risk of hospital admissions for hypertension was estimated to increase by 12% on warm days (>23°C) and 2% on cool days (<23°C), respectively. There was no indication of an association between levels of PM2.5 and risk of hospital admissions for hypertension. In two-pollutant model, PM2.5 remained nonsignificant after inclusion of any of the other air pollutants (SO2, NO2, CO, or O3) both on warm and cool days, but a numerically greater response was seen on warm days. Data thus indicate that in Taipei, hospital admissions for hypertension occur as a consequence of factors not related to ambient air exposure.
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Affiliation(s)
- Hui-Fen Chiu
- a Department of Pharmacology , College of Medicine, Kaohsiung Medical University , Kaohsiung , Taiwan
| | - Shang-Shyue Tsai
- b Department of Healthcare Administration , I-Shou University , Kaohsiung , Taiwan
| | - Chun-Yuh Yang
- c Department of Public Health , College of Health Sciences, Kaohsiung Medical University , Kaohsiung , Taiwan
- d Division of Environmental Health and Occupational Medicine, National Health Research Institute , Miaoli , Taiwan
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Zhang Z, Laden F, Forman JP, Hart JE. Long-Term Exposure to Particulate Matter and Self-Reported Hypertension: A Prospective Analysis in the Nurses' Health Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2016; 124:1414-20. [PMID: 27177127 PMCID: PMC5010392 DOI: 10.1289/ehp163] [Citation(s) in RCA: 81] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2015] [Revised: 01/21/2016] [Accepted: 05/02/2016] [Indexed: 05/02/2023]
Abstract
BACKGROUND Studies have suggested associations between elevated blood pressure and short-term air pollution exposures, but the evidence is mixed regarding long-term exposures on incidence of hypertension. OBJECTIVES We examined the association of hypertension incidence with long-term residential exposures to ambient particulate matter (PM) and residential distance to roadway. METHODS We estimated 24-month and cumulative average exposures to PM10, PM2.5, and PM2.5-10 and residential distance to road for women participating in the prospective nationwide Nurses' Health Study. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated for incident hypertension from 1988 to 2008 using Cox proportional hazards models adjusted for potential confounders. We considered effect modification by age, diet, diabetes, obesity, region, and latitude. RESULTS Among 74,880 participants, 36,812 incident cases of hypertension were observed during 960,041 person-years. In multivariable models, 10-μg/m3 increases in 24-month average PM10, PM2.5, and PM2.5-10 were associated with small increases in the incidence of hypertension (HR: 1.02, 95% CI: 1.00, 1.04; HR: 1.04, 95% CI: 1.00, 1.07; and HR: 1.03, 95% CI: 1.00, 1.07, respectively). Associations were stronger among women < 65 years of age (HR: 1.04, 95% CI: 1.01, 1.06; HR: 1.07, 95% CI: 1.02, 1.12; and HR: 1.05, 95% CI: 1.01, 1.09, respectively) and the obese (HR: 1.07, 95% CI: 1.04, 1.12; HR: 1.15, 95% CI: 1.07, 1.23; and HR: 1.13, 95% CI: 1.07, 1.19, respectively), with p-values for interaction < 0.05 for all models except age and PM2.5-10. There was no association with roadway proximity. CONCLUSIONS Long-term exposure to particulate matter was associated with small increases in risk of incident hypertension, particularly among younger women and the obese. CITATION Zhang Z, Laden F, Forman JP, Hart JE. 2016. Long-term exposure to particulate matter and self-reported hypertension: a prospective analysis in the Nurses' Health Study. Environ Health Perspect 124:1414-1420; http://dx.doi.org/10.1289/EHP163.
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Affiliation(s)
- Zhenyu Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Exposure, Epidemiology and Risk Program, Department of Environmental Health, and
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Exposure, Epidemiology and Risk Program, Department of Environmental Health, and
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - John P. Forman
- Renal Division, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Jaime E. Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Exposure, Epidemiology and Risk Program, Department of Environmental Health, and
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Liu WT, Lee KY, Lee HC, Chuang HC, Wu D, Juang JN, Chuang KJ. The association of annual air pollution exposure with blood pressure among patients with sleep-disordered breathing. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 543:61-66. [PMID: 26580727 DOI: 10.1016/j.scitotenv.2015.10.135] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Revised: 10/27/2015] [Accepted: 10/27/2015] [Indexed: 06/05/2023]
Abstract
While sleep-disordered breathing (SDB), high blood pressure (BP) and air pollution exposure have separately been associated with increased risk of cardiopulmonary mortality, the association linking air pollution exposure to BP among patients with sleep-disordered breathing is still unclear. We collected 3762 participants' data from the Taipei Medical University Hospital's Sleep Center and air pollution data from the Taiwan Environmental Protection Administration. Associations of 1-year mean criteria air pollutants [particulate matter with aerodynamic diameters ≤10 μm (PM10), particulate matter with aerodynamic diameters ≤2.5 μm (PM2.5), nitrogen dioxide (NO2) and ozone (O3)] with systolic BP (SBP) and diastolic BP (DBP) were investigated by generalized additive models. After controlling for age, sex, body mass index (BMI), temperature and relative humidity, we observed that increases in air pollution levels were associated with decreased SBP and increased DBP. We also found that patients with apnea-hypopnea index (AHI) ≥30 showed a stronger BP response to increased levels of air pollution exposure than those with AHI<30. Stronger effects of air pollution exposure on BP were found in overweight participants than in participants with normal BMI. We concluded that annual exposure to air pollution was associated with change of BP among patients with sleep-disordered breathing. The association between annual air pollution exposure and BP could be modified by AHI and BMI.
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Affiliation(s)
- Wen-Te Liu
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan; Sleep Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan; Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Kang-Yun Lee
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Internal Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Hsin-Chien Lee
- Sleep Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan; Department of Psychiatry, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Hsiao-Chi Chuang
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Dean Wu
- Department of Psychiatry, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan; Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan; Department of Neurology, School of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Jer-Nan Juang
- Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan
| | - Kai-Jen Chuang
- Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; School of Public Health, College of Public Health and Nutrition, Taipei Medical University, Taipei, Taiwan.
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Zhang H, Qian J, Zhao H, Wang J, Zhu H, Zhou Y, Wang J, Guo J, Gehendra M, Qiu H, Sun Z, He D. A study of the association between atmospheric particulate matter and blood pressure in the population. Blood Press 2015; 25:169-76. [PMID: 26634767 DOI: 10.3109/08037051.2015.1111019] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Huawei Zhang
- Department of Cardiology, Chinese PLA General Hospital, Beijing, PR China
| | - Jin Qian
- Department of Aged Cadres, Beijing Shijitan Hospital, Capital Medical University, Beijing, PR China
| | - Haiping Zhao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, PR China
| | - Jinda Wang
- Department of Cardiology, Chinese PLA General Hospital, Beijing, PR China
| | - Hang Zhu
- Department of Cardiology, Chinese PLA General Hospital, Beijing, PR China
| | - Ying Zhou
- Department of Cardiology, Chinese PLA General Hospital, Beijing, PR China
| | - Juan Wang
- Department of Cardiology, Chinese PLA General Hospital, Beijing, PR China
| | - Jin Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, PR China
| | - Mahara Gehendra
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, PR China
| | - Hongyan Qiu
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Yinchuan, PR China
| | - Zhijun Sun
- Department of Cardiology, Chinese PLA General Hospital, Beijing, PR China
| | - Dian He
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, PR China
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Chan SH, Van Hee VC, Bergen S, Szpiro AA, DeRoo LA, London SJ, Marshall JD, Kaufman JD, Sandler DP. Long-Term Air Pollution Exposure and Blood Pressure in the Sister Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2015; 123:951-8. [PMID: 25748169 PMCID: PMC4590742 DOI: 10.1289/ehp.1408125] [Citation(s) in RCA: 126] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2014] [Accepted: 03/04/2015] [Indexed: 05/03/2023]
Abstract
BACKGROUND Exposure to air pollution has been consistently associated with cardiovascular morbidity and mortality, but mechanisms remain uncertain. Associations with blood pressure (BP) may help to explain the cardiovascular effects of air pollution. OBJECTIVE We examined the cross-sectional relationship between long-term (annual average) residential air pollution exposure and BP in the National Institute of Environmental Health Sciences' Sister Study, a large U.S. cohort study investigating risk factors for breast cancer and other outcomes. METHODS This analysis included 43,629 women 35-76 years of age, enrolled 2003-2009, who had a sister with breast cancer. Geographic information systems contributed to satellite-based nitrogen dioxide (NO2) and fine particulate matter (≤ 2.5 μm; PM2.5) predictions at participant residences at study entry. Generalized additive models were used to examine the relationship between pollutants and measured BP at study entry, adjusting for cardiovascular disease risk factors and including thin plate splines for potential spatial confounding. RESULTS A 10-μg/m(3) increase in PM2.5 was associated with 1.4-mmHg higher systolic BP (95% CI: 0.6, 2.3; p < 0.001), 1.0-mmHg higher pulse pressure (95% CI: 0.4, 1.7; p = 0.001), 0.8-mmHg higher mean arterial pressure (95% CI: 0.2, 1.4; p = 0.01), and no significant association with diastolic BP. A 10-ppb increase in NO2 was associated with a 0.4-mmHg (95% CI: 0.2, 0.6; p < 0.001) higher pulse pressure. CONCLUSIONS Long-term PM2.5 and NO2 exposures were associated with higher blood pressure. On a population scale, such air pollution-related increases in blood pressure could, in part, account for the increases in cardiovascular disease morbidity and mortality seen in prior studies.
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Affiliation(s)
- Stephanie H Chan
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
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27
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Goodman JE, Prueitt RL, Sax SN, Lynch HN, Zu K, Lemay JC, King JM, Venditti FJ. Weight-of-evidence evaluation of short-term ozone exposure and cardiovascular effects. Crit Rev Toxicol 2015; 44:725-90. [PMID: 25257961 DOI: 10.3109/10408444.2014.937854] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
There is a relatively large body of research on the potential cardiovascular (CV) effects associated with short-term ozone exposure (defined by EPA as less than 30 days in duration). We conducted a weight-of-evidence (WoE) analysis to assess whether it supports a causal relationship using a novel WoE framework adapted from the US EPA's National Ambient Air Quality Standards causality framework. Specifically, we synthesized and critically evaluated the relevant epidemiology, controlled human exposure, and experimental animal data and made a causal determination using the same categories proposed by the Institute of Medicine report Improving the Presumptive Disability Decision-making Process for Veterans ( IOM 2008). We found that the totality of the data indicates that the results for CV effects are largely null across human and experimental animal studies. The few statistically significant associations reported in epidemiology studies of CV morbidity and mortality are very small in magnitude and likely attributable to confounding, bias, or chance. In experimental animal studies, the reported statistically significant effects at high exposures are not observed at lower exposures and thus not likely relevant to current ambient ozone exposures in humans. The available data also do not support a biologically plausible mechanism for CV effects of ozone. Overall, the current WoE provides no convincing case for a causal relationship between short-term exposure to ambient ozone and adverse effects on the CV system in humans, but the limitations of the available studies preclude definitive conclusions regarding a lack of causation. Thus, we categorize the strength of evidence for a causal relationship between short-term exposure to ozone and CV effects as "below equipoise."
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Tsai DH, Guessous I, Riediker M, Paccaud F, Gaspoz JM, Theler JM, Waeber G, Vollenweider P, Bochud M. Short-term effects of particulate matters on pulse pressure in two general population studies. J Hypertens 2015; 33:1144-52. [DOI: 10.1097/hjh.0000000000000533] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Männistö T, Mendola P, Liu D, Leishear K, Sherman S, Laughon SK. Acute air pollution exposure and blood pressure at delivery among women with and without hypertension. Am J Hypertens 2015; 28:58-72. [PMID: 24795401 DOI: 10.1093/ajh/hpu077] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Chronic air pollution exposure increases risk for hypertensive disorders of pregnancy, but the effect of acute air pollution exposure on blood pressure during pregnancy is less well known. METHODS We studied 151,276 singleton term deliveries from the Consortium on Safe Labor (2002-2008) with clinical blood pressure measured at admission to labor/delivery and diagnoses of hypertensive disorders collected from electronic medical records and hospital discharge summaries. Air pollution exposures were estimated for the admission hour and the 4 hours preceding admission using a modified version of the Community Multiscale Air Quality models and observed air monitoring data. Blood pressure was categorized as normal; high normal; and mild, moderate, or severe hypertension based on pregnancy cut points. Adjusted ordinal logistic regression estimated the odds of women having a higher admission blood pressure category as a function of air pollutant, hypertensive disorders, and their interaction effect. RESULTS Odds of high blood pressure at admission to labor/delivery were increased in normotensive women after exposure to nitrogen oxides (by 0.2%/5 units), sulfur dioxide (by 0.3%/1 unit), carbon monoxide and several air toxics (by 3%-4%/high exposure). The effects were often similar or stronger among women with gestational hypertension and preeclampsia. Exposure to particulate matter <10 μm increased odds of high blood pressure in women with preeclampsia by 3%/5 units. CONCLUSIONS Air pollution can influence admission blood pressure in term deliveries and may increase likelihood of preeclampsia screening at delivery admission.
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Affiliation(s)
- Tuija Männistö
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, Maryland
| | - Pauline Mendola
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, Maryland;
| | - Danping Liu
- Biostatistics and Bioinformatics Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, Maryland
| | | | | | - S Katherine Laughon
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, Maryland
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30
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Mu L, Deng F, Tian L, Li Y, Swanson M, Ying J, Browne RW, Rittenhouse-Olson K, Zhang JJ, Zhang ZF, Bonner MR. Peak expiratory flow, breath rate and blood pressure in adults with changes in particulate matter air pollution during the Beijing Olympics: a panel study. ENVIRONMENTAL RESEARCH 2014; 133:4-11. [PMID: 24906062 PMCID: PMC4128017 DOI: 10.1016/j.envres.2014.05.006] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2012] [Revised: 04/29/2014] [Accepted: 05/02/2014] [Indexed: 05/17/2023]
Abstract
OBJECTIVES This study aims to examine whether changes in short-term exposures to particulate matter are associated with changes in lung function, breath rate, and blood pressure among healthy adults and whether smoking status modifies the association. METHODS We took advantage of the artificially controlled changes in air pollution levels that occurred during the 2008 Olympic Games in Beijing, China and conducted a panel study of 201 Beijing residents. Data were collected before, during, and after the Olympics, respectively. Linear mixed-effect models and generalized estimating equation models were used to compare measurements of peak expiratory flow, breath rate and blood pressure across three time points. RESULTS The mean values of peak expiratory flow were 346.0 L/min, 399.3 L/min, and 364.1L/min over the three study periods. Peak expiratory flow levels increased in 78% of the participants when comparing the during- with pre- Olympics time points, while peak expiratory flow levels decreased in 80% of participants for the post- and during-Olympic periods comparison. In subgroup analyses comparing the during-Olympic to pre-Olympic time points, we found a larger percentage change in peak expiratory flow (+17%) among female, younger and non-smoking participants than among male, elderly and smoking participants (+12%). The percentage of participants with a fast breath rate (>20/min) changed from 9.7% to 4.9% to 30.1% among females, and from 7.9% to 2.6% to 27.3% among males over the three time points. The changes in blood pressure over the three study periods were not very clear, although there is an increase in diastolic pressure and a decrease in pulse pressure among males during the games. CONCLUSIONS The results suggest that exposure to different air pollution levels has significant effects on respiratory function. Smoking, age and gender appear to modify participants' biological response to changes in air quality.
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Affiliation(s)
- Lina Mu
- Department of Social and Preventive Medicine, School of Public Health and Health Professions, University at Buffalo, SUNY, 270 Farber Hall, Buffalo, NY 14214, USA.
| | - Furong Deng
- Department of Occupational & Environmental Health, School of Public Health, Peking University, Beijing, China
| | - Lili Tian
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Yanli Li
- Department of Social and Preventive Medicine, School of Public Health and Health Professions, University at Buffalo, SUNY, 270 Farber Hall, Buffalo, NY 14214, USA
| | - Mya Swanson
- Department of Social and Preventive Medicine, School of Public Health and Health Professions, University at Buffalo, SUNY, 270 Farber Hall, Buffalo, NY 14214, USA
| | - Jingjing Ying
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Richard W Browne
- Department of Biotechnical and Clinical Laboratory Sciences, School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Kate Rittenhouse-Olson
- Department of Biotechnical and Clinical Laboratory Sciences, School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Junfeng Jim Zhang
- Department of Preventive Medicine, USC Keck School of Medicine, Los Angeles, CA, USA
| | - Zuo-Feng Zhang
- Department of Epidemiology, UCLA Field School of Public Health, Los Angeles, CA, USA
| | - Matthew R Bonner
- Department of Social and Preventive Medicine, School of Public Health and Health Professions, University at Buffalo, SUNY, 270 Farber Hall, Buffalo, NY 14214, USA
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The health effects of a forest environment on subclinical cardiovascular disease and heath-related quality of life. PLoS One 2014; 9:e103231. [PMID: 25068265 PMCID: PMC4113370 DOI: 10.1371/journal.pone.0103231] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2013] [Accepted: 06/30/2014] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Assessment of health effects of a forest environment is an important emerging area of public health and environmental sciences. PURPOSE To demonstrate the long-term health effects of living in a forest environment on subclinical cardiovascular diseases (CVDs) and health-related quality of life (HRQOL) compared with that in an urban environment. MATERIALS AND METHODS This study included the detailed health examination and questionnaire assessment of 107 forest staff members (FSM) and 114 urban staff members (USM) to investigate the long-term health effects of a forest environment. Air quality monitoring between the forest and urban environments was compared. In addition, work-related factors and HRQOL were evaluated. RESULTS Levels of total cholesterol, low-density lipoprotein cholesterol, and fasting glucose in the USM group were significantly higher than those in the FSM group. Furthermore, a significantly higher intima-media thickness of the internal carotid artery was found in the USM group compared with that in the FSM group. Concentrations of air pollutants, such as NO, NO2, NOx, SO2, CO, PM2.5, and PM10 in the forest environment were significantly lower compared with those in the outdoor urban environment. Working hours were longer in the FSM group; however, the work stress evaluation as assessed by the job content questionnaire revealed no significant differences between FSM and USM. HRQOL evaluated by the World Health Organization Quality of Life-BREF questionnaire showed FSM had better HRQOL scores in the physical health domain. CONCLUSIONS This study provides evidence of the potential beneficial effects of forest environments on CVDs and HRQOL.
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Chen SY, Chan CC, Lin YL, Hwang JS, Su TC. Fine particulate matter results in hemodynamic changes in subjects with blunted nocturnal blood pressure dipping. ENVIRONMENTAL RESEARCH 2014; 131:1-5. [PMID: 24607658 DOI: 10.1016/j.envres.2014.01.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2013] [Revised: 01/01/2014] [Accepted: 01/31/2014] [Indexed: 06/03/2023]
Abstract
Particulate matter with aerodynamic diameter of <2.5 μm (PM2.5) is associated with blood pressure and hemodynamic changes. Blunted nocturnal blood pressure dipping is a major risk factor for cardiovascular events; limited information is available on whether PM2.5 exposure-related hemodynamic changes vary with day-night blood pressure circadian rhythms. In this study, we enrolled 161 subjects and monitored the changes in ambulatory blood pressure and hemodynamics for 24h. The day-night blood pressure and cardiovascular metrics were calculated according to the sleep-wake cycles logged in the subject׳s diary. The effects of PM2.5 exposure on blood pressure and hemodynamic changes were analyzed using generalized linear mixed-effect model. After adjusting for potential confounders, a 10-μg/m(3) increase in PM2.5 was associated with 1.0 mmHg [95% confidence interval (CI): 0.2-1.8 mmHg] narrowing in the pulse pressure, 3.1% (95% CI: 1.4-4.8%) decrease in the maximum rate of left ventricular pressure rise, and 3.6% (95% CI: 1.6-5.7%) increase in systemic vascular resistance among 79 subjects with nocturnal blood pressure dip of <10%. In contrast, PM2.5 was not associated with any changes in cardiovascular metrics among 82 subjects with nocturnal blood pressure dip of ≥10%. Our findings demonstrate that short-term exposure to PM2.5 contributes to pulse pressure narrowing along with cardiac and vasomotor dysfunctions in subjects with nocturnal blood pressure dip of <10%.
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Affiliation(s)
- Szu-Ying Chen
- Institute of Occupational Medicine and Industrial Hygiene, College of Public Health, National Taiwan University, Taipei, Taiwan; Division of Surgical Intensive Care, Department of Critical Care Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Chang-Chuan Chan
- Institute of Occupational Medicine and Industrial Hygiene, College of Public Health, National Taiwan University, Taipei, Taiwan.
| | - Yu-Lun Lin
- Institute of Occupational Medicine and Industrial Hygiene, College of Public Health, National Taiwan University, Taipei, Taiwan
| | | | - Ta-Chen Su
- Department of Internal Medicine and Cardiovascular Center, National Taiwan University Hospital, Taipei, Taiwan.
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Lee JH, Wu CF, Hoek G, de Hoogh K, Beelen R, Brunekreef B, Chan CC. Land use regression models for estimating individual NOx and NO₂ exposures in a metropolis with a high density of traffic roads and population. THE SCIENCE OF THE TOTAL ENVIRONMENT 2014; 472:1163-1171. [PMID: 24377679 DOI: 10.1016/j.scitotenv.2013.11.064] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2013] [Revised: 11/12/2013] [Accepted: 11/12/2013] [Indexed: 06/03/2023]
Abstract
This study is conducted to characterize the intra-urban distribution of NOx and NO2; develop land use regression (LUR) models to assess outdoor NOx and NO2 concentrations, using the ESCAPE modeling approach with locally specific land use data; and compare NOx and NO2 exposures for children in the Taipei Metropolis by the LUR models, the nearest monitoring station, and kriging methods based on data collected at the measurement sites. NOx and NO2 were measured for 2 weeks during 3 seasons at 40 sampling sites by Ogawa passive badges to represent their concentrations at urban backgrounds and streets from October 2009 to September 2010. Land use data and traffic-related information in different buffer zones were combined with measured concentrations to derive LUR models using supervised forward stepwise multiple regressions. The annual average concentrations of NOx and NO2 in Taipei were 72.4 ± 22.5 and 48.9 ± 12.2 μg/m(3), respectively, which were at the high end of all 36 European areas in the ESCAPE project. Spatial contrasts in Taipei were lower than those of the European areas in the ESCAPE project. The NOx LUR model included 6 land use variables, which were lengths of major roads within 25 m, 25-50 m, and 50-500 m, urban green areas within 300 m and 300-5,000 m, and semi-natural and forested areas within 500 m, with R(2)=0.81. The NO2 LUR model included 4 land use variables, which were lengths of major roads within 25 m, urban green areas within 100 m, semi-natural and forested areas within 500 m, and low-density residential area within 500 m, with R(2)=0.74. The LUR models gave a wider variation in estimating NOx and NO2 exposures than either the ordinary kriging method or the nearest measurement site did for the children of Taiwan Birth Cohort Study (TBCS) in Taipei.
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Affiliation(s)
- Jui-Huan Lee
- Institute of Occupational Medicine and Industrial Hygiene, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Chang-Fu Wu
- Institute of Occupational Medicine and Industrial Hygiene, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD Utrecht, The Netherlands
| | - Kees de Hoogh
- MRC-HPA Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Rob Beelen
- Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD Utrecht, The Netherlands
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD Utrecht, The Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Chang-Chuan Chan
- Institute of Occupational Medicine and Industrial Hygiene, College of Public Health, National Taiwan University, Taipei, Taiwan.
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Changes in traffic exposure and the risk of incident myocardial infarction and all-cause mortality. Epidemiology 2013; 24:734-42. [PMID: 23877047 DOI: 10.1097/ede.0b013e31829d5dae] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Traffic-related exposures, such as air pollution and noise, have been associated with increased cardiovascular morbidity and mortality. Few studies, however, have been able to examine the effects of changes in exposure on changes in risk. Our objective was to explore the associations of changes in traffic exposure with changes in risk between 1990 and 2008 in the Nurses' Health Study. METHODS Incident myocardial infarction (MI) and all-cause mortality were prospectively identified. As a proxy for traffic exposure, we calculated residential distance to roads at all residential addresses 1986-2006 and considered addresses to be "close" or "far" based on distance and road type. To examine the effect of changes in exposure, each consecutive pair of addresses was categorized as: (1) consistently close, (2) consistently far, (3) change from close to far, and (4) change from far to close. We also examined the change in NO2 levels between address pairs. RESULTS In time-varying Cox proportional hazards models adjusted for a variety of risk factors, women living at residences consistently close to traffic were at a higher risk of an incident MI (hazard ratio [HR] = 1.11; 95% confidence interval [CI] = 1.01-1.22) and a higher risk of all-cause mortality (1.05; 1.00-1.10), compared with those consistently far. The highest risks were seen among women who moved from being far from traffic to close (incident MI: HR = 1.50 [95% CI = 1.11-2.03]; all-cause mortality: HR = 1.17 [95% CI = 1.00-1.37]). Each 1 ppb increase in NO2 compared with the previous address was associated with a HR = 1.22 for incident MI (95% CI = 0.99-1.50) and 1.03 for all-cause mortality (95% CI = 0.92-1.15). CONCLUSIONS Our results suggest that changes in traffic exposure (measured as roadway proximity or change in NO2 levels) are associated with changes in risk of MI and all-cause mortality.
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Dong GH, Qian Z(M, Xaverius PK, Trevathan E, Maalouf S, Parker J, Yang L, Liu MM, Wang D, Ren WH, Ma W, Wang J, Zelicoff A, Fu Q, Simckes M. Association Between Long-Term Air Pollution and Increased Blood Pressure and Hypertension in China. Hypertension 2013; 61:578-84. [DOI: 10.1161/hypertensionaha.111.00003] [Citation(s) in RCA: 147] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Affiliation(s)
- Guang-Hui Dong
- From the Department of Biostatistics and Epidemiology (G.-H.D., M.-M.L., D.W.), Department of Occupational and Environmental Health (G.-H.D.), School of Public Health, China Medical University, Shenyang, Liaoning, China; Department of Epidemiology, School of Public Health, Saint Louis University, St. Louis, MO (Z.Q., P.K.X., E.T., S.M., J.P., L.Y., M.S.); Department of Ambient Air Pollution Monitor, Shenyang Environmental Monitoring Center, Shenyang, Liaoning, China (W.-H.R.); Guangdong Provincial
| | - Zhengmin (Min) Qian
- From the Department of Biostatistics and Epidemiology (G.-H.D., M.-M.L., D.W.), Department of Occupational and Environmental Health (G.-H.D.), School of Public Health, China Medical University, Shenyang, Liaoning, China; Department of Epidemiology, School of Public Health, Saint Louis University, St. Louis, MO (Z.Q., P.K.X., E.T., S.M., J.P., L.Y., M.S.); Department of Ambient Air Pollution Monitor, Shenyang Environmental Monitoring Center, Shenyang, Liaoning, China (W.-H.R.); Guangdong Provincial
| | - Pamela K. Xaverius
- From the Department of Biostatistics and Epidemiology (G.-H.D., M.-M.L., D.W.), Department of Occupational and Environmental Health (G.-H.D.), School of Public Health, China Medical University, Shenyang, Liaoning, China; Department of Epidemiology, School of Public Health, Saint Louis University, St. Louis, MO (Z.Q., P.K.X., E.T., S.M., J.P., L.Y., M.S.); Department of Ambient Air Pollution Monitor, Shenyang Environmental Monitoring Center, Shenyang, Liaoning, China (W.-H.R.); Guangdong Provincial
| | - Edwin Trevathan
- From the Department of Biostatistics and Epidemiology (G.-H.D., M.-M.L., D.W.), Department of Occupational and Environmental Health (G.-H.D.), School of Public Health, China Medical University, Shenyang, Liaoning, China; Department of Epidemiology, School of Public Health, Saint Louis University, St. Louis, MO (Z.Q., P.K.X., E.T., S.M., J.P., L.Y., M.S.); Department of Ambient Air Pollution Monitor, Shenyang Environmental Monitoring Center, Shenyang, Liaoning, China (W.-H.R.); Guangdong Provincial
| | - Salwa Maalouf
- From the Department of Biostatistics and Epidemiology (G.-H.D., M.-M.L., D.W.), Department of Occupational and Environmental Health (G.-H.D.), School of Public Health, China Medical University, Shenyang, Liaoning, China; Department of Epidemiology, School of Public Health, Saint Louis University, St. Louis, MO (Z.Q., P.K.X., E.T., S.M., J.P., L.Y., M.S.); Department of Ambient Air Pollution Monitor, Shenyang Environmental Monitoring Center, Shenyang, Liaoning, China (W.-H.R.); Guangdong Provincial
| | - Jamaal Parker
- From the Department of Biostatistics and Epidemiology (G.-H.D., M.-M.L., D.W.), Department of Occupational and Environmental Health (G.-H.D.), School of Public Health, China Medical University, Shenyang, Liaoning, China; Department of Epidemiology, School of Public Health, Saint Louis University, St. Louis, MO (Z.Q., P.K.X., E.T., S.M., J.P., L.Y., M.S.); Department of Ambient Air Pollution Monitor, Shenyang Environmental Monitoring Center, Shenyang, Liaoning, China (W.-H.R.); Guangdong Provincial
| | - Laiji Yang
- From the Department of Biostatistics and Epidemiology (G.-H.D., M.-M.L., D.W.), Department of Occupational and Environmental Health (G.-H.D.), School of Public Health, China Medical University, Shenyang, Liaoning, China; Department of Epidemiology, School of Public Health, Saint Louis University, St. Louis, MO (Z.Q., P.K.X., E.T., S.M., J.P., L.Y., M.S.); Department of Ambient Air Pollution Monitor, Shenyang Environmental Monitoring Center, Shenyang, Liaoning, China (W.-H.R.); Guangdong Provincial
| | - Miao-Miao Liu
- From the Department of Biostatistics and Epidemiology (G.-H.D., M.-M.L., D.W.), Department of Occupational and Environmental Health (G.-H.D.), School of Public Health, China Medical University, Shenyang, Liaoning, China; Department of Epidemiology, School of Public Health, Saint Louis University, St. Louis, MO (Z.Q., P.K.X., E.T., S.M., J.P., L.Y., M.S.); Department of Ambient Air Pollution Monitor, Shenyang Environmental Monitoring Center, Shenyang, Liaoning, China (W.-H.R.); Guangdong Provincial
| | - Da Wang
- From the Department of Biostatistics and Epidemiology (G.-H.D., M.-M.L., D.W.), Department of Occupational and Environmental Health (G.-H.D.), School of Public Health, China Medical University, Shenyang, Liaoning, China; Department of Epidemiology, School of Public Health, Saint Louis University, St. Louis, MO (Z.Q., P.K.X., E.T., S.M., J.P., L.Y., M.S.); Department of Ambient Air Pollution Monitor, Shenyang Environmental Monitoring Center, Shenyang, Liaoning, China (W.-H.R.); Guangdong Provincial
| | - Wan-Hui Ren
- From the Department of Biostatistics and Epidemiology (G.-H.D., M.-M.L., D.W.), Department of Occupational and Environmental Health (G.-H.D.), School of Public Health, China Medical University, Shenyang, Liaoning, China; Department of Epidemiology, School of Public Health, Saint Louis University, St. Louis, MO (Z.Q., P.K.X., E.T., S.M., J.P., L.Y., M.S.); Department of Ambient Air Pollution Monitor, Shenyang Environmental Monitoring Center, Shenyang, Liaoning, China (W.-H.R.); Guangdong Provincial
| | - Wenjun Ma
- From the Department of Biostatistics and Epidemiology (G.-H.D., M.-M.L., D.W.), Department of Occupational and Environmental Health (G.-H.D.), School of Public Health, China Medical University, Shenyang, Liaoning, China; Department of Epidemiology, School of Public Health, Saint Louis University, St. Louis, MO (Z.Q., P.K.X., E.T., S.M., J.P., L.Y., M.S.); Department of Ambient Air Pollution Monitor, Shenyang Environmental Monitoring Center, Shenyang, Liaoning, China (W.-H.R.); Guangdong Provincial
| | - Jing Wang
- From the Department of Biostatistics and Epidemiology (G.-H.D., M.-M.L., D.W.), Department of Occupational and Environmental Health (G.-H.D.), School of Public Health, China Medical University, Shenyang, Liaoning, China; Department of Epidemiology, School of Public Health, Saint Louis University, St. Louis, MO (Z.Q., P.K.X., E.T., S.M., J.P., L.Y., M.S.); Department of Ambient Air Pollution Monitor, Shenyang Environmental Monitoring Center, Shenyang, Liaoning, China (W.-H.R.); Guangdong Provincial
| | - Alan Zelicoff
- From the Department of Biostatistics and Epidemiology (G.-H.D., M.-M.L., D.W.), Department of Occupational and Environmental Health (G.-H.D.), School of Public Health, China Medical University, Shenyang, Liaoning, China; Department of Epidemiology, School of Public Health, Saint Louis University, St. Louis, MO (Z.Q., P.K.X., E.T., S.M., J.P., L.Y., M.S.); Department of Ambient Air Pollution Monitor, Shenyang Environmental Monitoring Center, Shenyang, Liaoning, China (W.-H.R.); Guangdong Provincial
| | - Qiang Fu
- From the Department of Biostatistics and Epidemiology (G.-H.D., M.-M.L., D.W.), Department of Occupational and Environmental Health (G.-H.D.), School of Public Health, China Medical University, Shenyang, Liaoning, China; Department of Epidemiology, School of Public Health, Saint Louis University, St. Louis, MO (Z.Q., P.K.X., E.T., S.M., J.P., L.Y., M.S.); Department of Ambient Air Pollution Monitor, Shenyang Environmental Monitoring Center, Shenyang, Liaoning, China (W.-H.R.); Guangdong Provincial
| | - Maayan Simckes
- From the Department of Biostatistics and Epidemiology (G.-H.D., M.-M.L., D.W.), Department of Occupational and Environmental Health (G.-H.D.), School of Public Health, China Medical University, Shenyang, Liaoning, China; Department of Epidemiology, School of Public Health, Saint Louis University, St. Louis, MO (Z.Q., P.K.X., E.T., S.M., J.P., L.Y., M.S.); Department of Ambient Air Pollution Monitor, Shenyang Environmental Monitoring Center, Shenyang, Liaoning, China (W.-H.R.); Guangdong Provincial
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Mao GX, Cao YB, Lan XG, He ZH, Chen ZM, Wang YZ, Hu XL, Lv YD, Wang GF, Yan J. Therapeutic effect of forest bathing on human hypertension in the elderly. J Cardiol 2012; 60:495-502. [DOI: 10.1016/j.jjcc.2012.08.003] [Citation(s) in RCA: 95] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2012] [Revised: 07/06/2012] [Accepted: 08/09/2012] [Indexed: 12/27/2022]
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