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Zhang J, Zhang J, Duan Z, Nie J, Li X, Yu W, Niu Z, Yan Y. Association between long-term exposure to PM 2.5 chemical components and metabolic syndrome in middle-aged and older adults. Front Public Health 2024; 12:1462548. [PMID: 39234085 PMCID: PMC11371722 DOI: 10.3389/fpubh.2024.1462548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Accepted: 08/08/2024] [Indexed: 09/06/2024] Open
Abstract
Background Previous studies indicated that exposure to ambient fine particulate matter (PM2.5) could increase the risk of metabolic syndrome (MetS). However, the specific impact of PM2.5 chemical components remains uncertain. Methods A national cross-sectional study of 12,846 Chinese middle-aged and older adults was conducted. Satellite-based spatiotemporal models were employed to determine the 3-year average PM2.5 components exposure, including sulfates (SO4 2-), nitrates (NO3 -), ammonia (NH4 +), black carbon (BC), and organic matter (OM). Generalized linear models were used to investigate the associations of PM2.5 components with MetS and the components of MetS, and restricted cubic splines curves were used to establish the exposure-response relationships between PM2.5 components with MetS, as well as the components of MetS. Results MetS risk increased by 35.1, 33.5, 33.6, 31.2, 32.4, and 31.4% for every inter-quartile range rise in PM2.5, SO4 2-, NO3 -, NH4 +, OM and BC, respectively. For MetS components, PM2.5 chemical components were associated with evaluated risks of central obesity, high blood pressure (high-BP), high fasting glucose (high-FBG), and low high-density lipoprotein cholesterol (low-HDL). Conclusion This study indicated that exposure to PM2.5 components is related to increased risk of MetS and its components, including central obesity, high-BP, high-FBG, and low-HDL. Moreover, we found that the adverse effect of PM2.5 chemical components on MetS was more sensitive to people who were single, divorced, or widowed than married people.
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Affiliation(s)
- Jingjing Zhang
- Department of Medical Imaging Center, Northwest Women's and Children's Hospital, Xi'an, China
| | - Jinglong Zhang
- Department of Cardiovascular Surgery, Xijing Hospital, The Fourth Military Medical University, Xi'an, China
| | - Zhizhou Duan
- Preventive Health Service, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Jing Nie
- Population Research Institute, Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Xiangyu Li
- Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
| | - Wenyuan Yu
- School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Zhiping Niu
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China
| | - Yangjin Yan
- Department of Cardiology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, Shaanxi, China
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Dai C, Sun X, Wu L, Chen J, Hu X, Ding F, Chen W, Lei H, Li X. Associations between exposure to various air pollutants and risk of metabolic syndrome: a systematic review and meta-analysis. Int Arch Occup Environ Health 2024; 97:621-639. [PMID: 38733545 DOI: 10.1007/s00420-024-02072-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 04/30/2024] [Indexed: 05/13/2024]
Abstract
BACKGROUND Metabolic Syndrome (MetS) is a widely observed metabolic disorder that is increasingly prevalent worldwide, leading to substantial societal consequences. Previous studies have conducted two separate meta-analyses to investigate the relationship between MetS and air pollutants. However, these studies yielded conflicting results, necessitating a thorough systematic review and meta-analysis to reassess the link between different air pollutants and the risk of developing MetS. METHODS We conducted a comprehensive search of relevant literature in databases including PubMed, Embase, Cochrane Library, and Web of Science up to October 9, 2023. The search was specifically restricted to publications in the English language. Following the screening of studies investigating the correlation between air pollution and MetS, we utilized random-effects models to calculate pooled effect sizes along with their respective 95% confidence intervals (CIs). We would like to highlight that this study has been registered with PROSPERO, and it can be identified by the registration number CRD42023484421. RESULTS The study included twenty-four eligible studies. The results revealed that an increase of 10 μg/m3 in annual concentrations of PM1, PM2.5, PM10, NO2, SO2, and O3 was associated with a 29% increase in metabolic syndrome (MetS) risk for PM1 (OR = 1.29 [CI 1.07-1.54]), an 8% increase for PM2.5 (OR = 1.08 [CI 1.06-1.10]), a 17% increase for PM10 (OR = 1.17 [CI 1.08-1.27]), a 24% increase for NO2 (OR = 1.24 [CI 1.01-1.51]), a 19% increase for SO2 (OR = 1.19 [CI 1.04-1.36]), and a 10% increase for O3 (OR = 1.10 [CI 1.07-1.13]). CONCLUSION The findings of this study demonstrate a significant association between exposure to fine particulate matter (PM1, PM2.5, PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), and the incidence of metabolic syndrome (MetS). Moreover, the results suggest that air pollution exposure could potentially contribute to the development of MetS in humans.
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Affiliation(s)
- Changmao Dai
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China
| | - Xiaolan Sun
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China
| | - Liangqing Wu
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China
| | - Jiao Chen
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China
| | - Xiaohong Hu
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China
| | - Fang Ding
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China
| | - Wei Chen
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China
| | - Haiyan Lei
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China
| | - Xueping Li
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China.
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Du Y, Liu Q, Du J, Shao B, Wang C, Liu Y, Shi Y, Wang P, Li Z, Liu J, Li G. Association between household and outdoor air pollution and risk for metabolic syndrome among women in Beijing, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:2830-2842. [PMID: 37972108 DOI: 10.1080/09603123.2023.2275658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 10/22/2023] [Indexed: 11/19/2023]
Abstract
This study explored whether household and outdoor air pollution is associated with a greater risk for metabolic syndrome (MetS) among women. In all 11,860 women who cooked with clean energy were included in the analysis. Cooking frequency, range hood use during cooking, passive smoking exposure, and solid fuel use for heating were used to represent household air pollution. The 2-year average concentration of PM2.5, and face mask usage were used to reflect outdoor air pollution exposure. An index of air pollution exposure was also constructed. Multivariable logistic regression models were used to estimate the association between air pollution and risk for MetS, and a positive correlation was found. Our results indicated that household cooking used clean energy and exposure to a high level of outdoor PM2.5 without face mask usage may contribute to an increased risk for MetS among women.
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Affiliation(s)
- Yushan Du
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Qingping Liu
- Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Jing Du
- Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Bing Shao
- Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Chao Wang
- Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Yang Liu
- Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Yunping Shi
- Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Ping Wang
- Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Zhiwen Li
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jufen Liu
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Gang Li
- Department of Information and Statistics, Beijing Center for Disease Prevention and Control, Beijing, China
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Tsai HH, Tantoh DM, Lu WY, Chen CY, Liaw YP. Cigarette smoking and PM 2.5 might jointly exacerbate the risk of metabolic syndrome. Front Public Health 2024; 11:1234799. [PMID: 38288423 PMCID: PMC10822970 DOI: 10.3389/fpubh.2023.1234799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 12/27/2023] [Indexed: 01/31/2024] Open
Abstract
Background Cigarette smoking and particulate matter (PM) with aerodynamic diameter < 2.5 μm (PM2.5) are major preventable cardiovascular mortality and morbidity promoters. Their joint role in metabolic syndrome (MS) pathogenesis is unknown. We determined the risk of MS based on PM2.5 and cigarette smoking in Taiwanese adults. Methods The study included 126,366 Taiwanese between 30 and 70 years old with no personal history of cancer. The Taiwan Biobank (TWB) contained information on MS, cigarette smoking, and covariates, while the Environmental Protection Administration (EPA), Taiwan, contained the PM2.5 information. Individuals were categorized as current, former, and nonsmokers. PM2.5 levels were categorized into quartiles: PM2.5 ≤ Q1, Q1 < PM2.5 ≤ Q2, Q2 < PM2.5 ≤ Q3, and PM2.5 > Q3, corresponding to PM2.5 ≤ 27.137, 27.137 < PM2.5 ≤ 32.589, 32.589 < PM2.5 ≤ 38.205, and PM2.5 > 38.205 μg/m3. Results The prevalence of MS was significantly different according to PM2.5 exposure (p-value = 0.0280) and cigarette smoking (p-value < 0.0001). Higher PM2.5 levels were significantly associated with a higher risk of MS: odds ratio (OR); 95% confidence interval (CI) = 1.058; 1.014-1.104, 1.185; 1.134-1.238, and 1.149; 1.101-1.200 for 27.137 < PM2.5 ≤ 32.589, 32.589 < PM2.5 ≤ 38.205, and PM2.5 > 38.205 μg/m3, respectively. The risk of MS was significantly higher among former and current smokers with OR; 95% CI = 1.062; 1.008-1.118 and 1.531; 1.450-1.616, respectively, and a dose-dependent p-value < 0.0001. The interaction between both exposures regarding MS was significant (p-value = 0.0157). Stratification by cigarette smoking revealed a significant risk of MS due to PM2.5 exposure among nonsmokers: OR (95% CI) = 1.074 (1.022-1.128), 1.226 (1.166-1.290), and 1.187 (1.129-1.247) for 27.137 < PM2.5 ≤ 32.589, 32.589 < PM2.5 ≤ 38.205, and PM2.5 > 38.205 μg/m3, respectively. According to PM2.5 quartiles, current smokers had a higher risk of MS, regardless of PM2.5 levels (OR); 95% CI = 1.605; 1.444-1.785, 1.561; 1.409-1.728, 1.359; 1.211-1.524, and 1.585; 1.418-1.772 for PM2.5 ≤ 27.137, 27.137 < PM2.5 ≤ 32.589, 32.589 < PM2.5 ≤ 38.205, and PM2.5 > 38.205 μg/m3, respectively. After combining both exposures, the group, current smokers; PM2.5 > 38.205 μg/m3 had the highest odds (1.801; 95% CI =1.625-1.995). Conclusion PM2.5 and cigarette smoking were independently and jointly associated with a higher risk of MS. Stratified analyses revealed that cigarette smoking might have a much higher effect on MS than PM2.5. Nonetheless, exposure to both PM2.5 and cigarette smoking could compound the risk of MS.
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Affiliation(s)
- Hao-Hung Tsai
- Institute of Medicine, Chung Shan Medical University, Taichung City, Taiwan
- College of Medicine, Chung Shan Medical University, Taichung City, Taiwan
- Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung City, Taiwan
- Department of Medical Imaging, School of Medicine, Chung Shan Medical University, Taichung City, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung City, Taiwan
| | - Disline Manli Tantoh
- Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung City, Taiwan
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City, Taiwan
| | - Wen Yu Lu
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City, Taiwan
| | - Chih-Yi Chen
- Institute of Medicine, Chung Shan Medical University, Taichung City, Taiwan
- Division of Thoracic Surgery, Department of Surgery, Chung Shan Medical University Hospital, Taichung City, Taiwan
| | - Yung-Po Liaw
- Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung City, Taiwan
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City, Taiwan
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Peng S, Chen B, Li Z, Sun J, Liu F, Yin X, Zhou Y, Shen H, Xiang H. Ambient ozone pollution impairs glucose homeostasis and contributes to renal function decline: Population-based evidence. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 269:115803. [PMID: 38091674 PMCID: PMC10790241 DOI: 10.1016/j.ecoenv.2023.115803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 12/04/2023] [Accepted: 12/06/2023] [Indexed: 01/12/2024]
Abstract
Particulate matter pollution could increase the risk of kidney disease, while evidence for ozone exposure is less well-established. Here, we aimed to evaluate the effect of ozone pollution on renal function and explore mechanisms. We first conducted a cross-sectional study based on Wuhan Chronic Disease Cohort Study baseline information. We recruited 2699 eligible participants, estimated their residential ozone concentrations, collected fasting peripheral blood samples for biochemical analysis and calculated the estimated glomerular filtration rate (eGFR). The linear regression model was applied to evaluate the long-term association between ozone pollution and eGFR. Then, we recruited another 70 volunteers as a panel with 8 rounds follow-up visits. We calculated the eGFR and measured fasting blood glucose and lipid levels. The linear mixed-effect model along with mediation analysis were performed to confirm the short-term association and explore potential mechanisms, respectively. For the long-term association, a 10.95 μg/m3 increment of 3-year ozone exposure was associated with 2.96 mL/min/1.73 m2 decrease in eGFR (95%CI: -4.85, -1.06). Furthermore, the drinkers exhibited a pronounced declination of eGFR (-7.46 mL/min/1.73 m2, 95%CI: -11.84, -3.08) compared to non-drinkers in relation to ozone exposure. Additionally, a 19.02 μg/m3 increase in 3-day ozone concentrations was related to 2.51 mL/min/1.73 m2 decrease in eGFR (95%CI: -3.78, -1.26). Hyperglycemia and insulin resistance mediated 12.2% and 16.5% of the aforementioned association, respectively. Our findings indicated that higher ozone pollution could affect renal function, and the hyperglycemia and insulin resistance linked to ozone might be the underlying mechanisms.
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Affiliation(s)
- Shouxin Peng
- Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, PR China; Global Health Institute, Wuhan University, Wuhan 430071, Hubei, PR China
| | - Bingbing Chen
- Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, PR China
| | - Zhaoyuan Li
- Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, PR China; Global Health Institute, Wuhan University, Wuhan 430071, Hubei, PR China
| | - Jinhui Sun
- Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, PR China; Global Health Institute, Wuhan University, Wuhan 430071, Hubei, PR China
| | - Feifei Liu
- Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, PR China; Global Health Institute, Wuhan University, Wuhan 430071, Hubei, PR China
| | - Xiaoyi Yin
- Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, PR China
| | - Yi Zhou
- Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, PR China
| | - Huanfeng Shen
- School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, Hubei, PR China.
| | - Hao Xiang
- Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, PR China; Global Health Institute, Wuhan University, Wuhan 430071, Hubei, PR China.
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Paoin K, Pharino C, Vathesatogkit P, Phosri A, Buya S, Ueda K, Seposo XT, Ingviya T, Saranburut K, Thongmung N, Yingchoncharoen T, Sritara P. Associations between residential greenness and air pollution and the incident metabolic syndrome in a Thai worker cohort. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2023; 67:1965-1974. [PMID: 37735284 DOI: 10.1007/s00484-023-02554-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 07/25/2023] [Accepted: 09/12/2023] [Indexed: 09/23/2023]
Abstract
Increasing air pollution and decreasing exposure to greenness may contribute to the metabolic syndrome (MetS). We examined associations between long-term exposure to residential greenness and air pollution and MetS incidence in the Bangkok Metropolitan Region, Thailand. Data from 1369 employees (aged 52-71 years) from the Electricity Generating Authority of Thailand cohort from 2002 to 2017 were analyzed. The greenness level within 500 m of each participant's residence was measured using the satellite-derived Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI). The kriging approach was used to generate the average concentration of each air pollutant (PM10, CO, SO2, NO2, and O3) at the sub-district level. The average long-term exposure to air pollution and greenness for each participant was calculated over the same period of person-time. Cox proportional hazards models were used to analyze the greenness-air pollution-MetS associations. The adjusted hazard ratio of MetS was 1.42 (95% confidence interval (CI): 1.32, 1.53), 1.22 (95% CI: 1.15, 1.30), and 2.0 (95% CI: 1.82, 2.20), per interquartile range increase in PM10 (9.5 μg/m3), SO2 (0.9 ppb), and CO (0.3 ppm), respectively. We found no clear association between NDVI or EVI and the incidence of MetS. On the contrary, the incident MetS was positively associated with NDVI and EVI for participants exposed to PM10 at concentrations more than 50 μg/m3. In summary, the incidence of MetS was positively associated with long-term exposure to air pollution. In areas with high levels of air pollution, green spaces may not benefit health outcomes.
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Affiliation(s)
- Kanawat Paoin
- Department of Environmental Engineering, Faculty of Engineering, Chulalongkorn University, Phayathai Rd., Wangmai, Pratumwan, Bangkok, 10330, Thailand.
| | - Chanathip Pharino
- Department of Environmental Engineering, Faculty of Engineering, Chulalongkorn University, Phayathai Rd., Wangmai, Pratumwan, Bangkok, 10330, Thailand.
| | - Prin Vathesatogkit
- Department of Internal Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Arthit Phosri
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand
| | - Suhaimee Buya
- School of Information, Computer and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Khlong Nueng, Pathum Thani, Thailand
- School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan
| | - Kayo Ueda
- Department of Hygiene, Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan
- Graduate School of Global Environmental Sciences, Kyoto University, Kyoto, Japan
| | - Xerxes Tesoro Seposo
- Department of Hygiene, Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Thammasin Ingviya
- Air Pollution and Health Effect Research Center, Prince of Songkla University, Songkhla, Thailand
- Medical Data Center for Research and Innovation, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Krittika Saranburut
- Cardiovascular and Metabolic Center, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Nisakron Thongmung
- Research Center, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Teerapat Yingchoncharoen
- Department of Internal Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Piyamitr Sritara
- Department of Internal Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
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7
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Zhou F, Liu F, Wu T, Zhang K, Pan M, Wang X, Chen Z, Tong J, Yan Y, Xiang H. Exposures to ambient air pollutants increase prevalence of sleep disorder in adults: Evidence from Wuhan Chronic Disease Cohort Study (WCDCS). ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 263:115226. [PMID: 37441944 DOI: 10.1016/j.ecoenv.2023.115226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 06/29/2023] [Accepted: 07/01/2023] [Indexed: 07/15/2023]
Abstract
BACKGROUND Sleep disorder contributes to memory dysfunction and chronic diseases. Clear evidence of environment disturbance, such as residential noise, are associated with an increased risk of sleep disorder. However, not enough studies have been conducted on association between residential air pollutants and sleep disorder. We sought to determine whether exposures to residential air pollutants associated with risk of sleep disorder among adults. METHODS Using the dataset of the Wuhan Chronic Disease Cohort Study (WCDCS), we investigated the prevalence of sleep disorder and five sleep disorder symptoms in the study. The data of air pollutants (including PM10, PM2.5, NO2, SO2 and O3) were obtained from 10 air quality monitoring stations in Wuhan. We utilized logistic regression model to evaluate the associations of five types of air pollutants with odds ratio (OR) of sleep disorder and symptoms. The potential moderating effects of socio-demographic factors in the associations were explored using the interaction effects model. RESULTS Of the study participants, 52.1 % had sleep disorder. Exposures to higher concentrations of air pollutants were associated with increased prevalence of sleep disorder. For example, per interquartile range (IQR) increases in concentrations of PM10, PM2.5 or SO2 corresponded to the increase of sleep disorder increased prevalence at 14.7 % (adjusted odds ratio (aOR) = 1.147, 95 %CI:1.062, 1.240), 8.9 % (aOR = 1.089, 95 %CI: 1.003, 1.182) and 15.8 % (aOR = 1.158, 95 %CI: 1.065, 1.260). For symptoms specific analyses, significant linkages of PM10, PM2.5, SO2 with difficulty in falling asleep, wake up after falling asleep and early awaken were observed. Moderating effects of age and place of residence on the linkages of PM10 with increased prevalence of sleep disorder were identified. CONCLUSION Higher level of air pollution exposure could increase the prevalence of sleep disorder. Middle-aged and elderly population, as well as the rural residents are more likely to suffer from sleep disorder.
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Affiliation(s)
- Feng Zhou
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Feifei Liu
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Tingting Wu
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Ke Zhang
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Mengnan Pan
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Xiangxiang Wang
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Zhongyang Chen
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Jiahui Tong
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Yaqiong Yan
- Wuhan Center for Disease Control and Prevention, 288# Machang Road, Wuhan, China.
| | - Hao Xiang
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China.
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8
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Cai H, Du Z, Lin X, Lawrence WR, Hopke PK, Rich DQ, Lin S, Xiao J, Deng X, Qu Y, Lin Z, Wang X, Ju X, Chen S, Zhang Y, Wu W, Wang Y, Gu J, Hao Y, Zhang W. Interactions between long-term ambient particle exposures and lifestyle on the prevalence of hypertension and diabetes: insight from a large community-based survey. J Epidemiol Community Health 2023; 77:440-446. [PMID: 37094940 PMCID: PMC10330163 DOI: 10.1136/jech-2023-220480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 04/01/2023] [Indexed: 04/26/2023]
Abstract
INTRODUCTION Evidence on the interaction of lifestyle and long-term ambient particle (PM) exposure on the prevalence of hypertension, diabetes, particularly their combined condition is limited. We investigate the associations between PM and these outcomes and whether the associations were modified by various lifestyles. METHODS This was a large population-based survey during 2019-2021 in Southern China. The concentrations of PM were interpolated and assigned to participants by the residential address. Hypertension and diabetes status were from questionnaires and confirmed with the community health centres. Logistic regression was applied to examine the associations, followed by a comprehensive set of stratified analyses by the lifestyles including diet, smoking, drinking, sleeping and exercise. RESULTS A total of 82 345 residents were included in the final analyses. For each 1 μg/m3 increase in PM2.5, the adjusted OR for the prevalence of hypertension, diabetes and their combined condition were 1.05 (95% CI 1.05 to 1.06), 1.07 (95% CI 1.06 to 1.08) and 1.05 (95% CI 1.04 to 1.06), respectively. We observed that the association between PM2.5 and the combined condition was greatest in the group with 4-8 unhealthy lifestyles (OR=1.09, 95% CI 1.06 to 1.13) followed by the group with 2-3 and those with 0-1 unhealthy lifestyle (P interaction=0.026). Similar results and trends were observed in PM10 and/or in those with hypertension or diabetes. Individuals who consumed alcohol, had inadequate sleep duration or had poor quality sleep were more vulnerable. CONCLUSION Long-term PM exposure was associated with increased prevalence of hypertension, diabetes and their combined condition, and those with unhealthy lifestyles suffered greater risks of these conditions.
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Affiliation(s)
- Huanle Cai
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Zhicheng Du
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Xiao Lin
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Wayne R Lawrence
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Philip K Hopke
- Institute for a Sustainable Environment, Clarkson University, Potsdam, New York, USA
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - David Q Rich
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Shao Lin
- Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, New York, USA
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Xinlei Deng
- Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, New York, USA
| | - Yanji Qu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangzhou, Guangdong, China
| | - Ziqiang Lin
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, China
| | - Xinran Wang
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Xu Ju
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Shirui Chen
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Yuqin Zhang
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Wenjing Wu
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Ying Wang
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Jing Gu
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Yuantao Hao
- Peking University Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China
| | - Wangjian Zhang
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
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Li J, Song Y, Shi L, Jiang J, Wan X, Wang Y, Ma Y, Dong Y, Zou Z, Ma J. Long-term effects of ambient PM 2.5 constituents on metabolic syndrome in Chinese children and adolescents. ENVIRONMENTAL RESEARCH 2023; 220:115238. [PMID: 36621550 DOI: 10.1016/j.envres.2023.115238] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 01/04/2023] [Accepted: 01/05/2023] [Indexed: 06/17/2023]
Abstract
Metabolic syndrome (MetS) is considered a main public health issue as it remarkably adds the risk of cardiovascular disease, leading to a heavy burden of disease. There is growing evidence linking fine particulate matter (PM2.5) exposure to MetS. However, the influences of PM2.5 constituents, especially in children and adolescents, remain unclear. Our study was according to a national analysis among Chinese children and adolescents to examine the associations between long-term exposure to PM2.5 main constituents and MetS. A total of 10,066 children and adolescents aged 10-18 years were recruited in 7 provinces in China, with blood tests, health exams, and questionnaire surveys. We estimated long-term exposures to PM2.5 mass and its five constituents, containing black carbon (BC), organic matter (OM), inorganic nitrate (NO3-), sulfate (SO42-), and soil particles (SOIL) from multi-source data fusion models. Mixed-effects logistic regression models were used with the adjustment of a variety of covariates. In the surveyed populations, 2.9% were classified as MetS. From the single-pollutant models, we discovered that long-term exposures to PM2.5 mass, BC, OM, NO3-, as well as SO42-, were significantly associated with the prevalence of MetS, with odds ratios (ORs) per 1 μg/m3 that were 1.02 (95% confidence interval (CI): 1.01, 1.03) for PM2.5 mass, 1.24 (95% CI: 1.14, 1.35) for BC, 1.07 (95% CI: 1.04, 1.11) for OM, 1.09 (95% CI: 1.04, 1.13) for NO3-, and 1.14 (95% CI:1.04, 1.24) for SO42-. The influence of BC on the prevalence of MetS was robust in both the multi-pollutant model and the PM2.5-constituent joint model. The paper indicates long-term exposure to PM2.5 mass and specific PM2.5 constituents, particularly for BC, was significantly associated with a higher MetS prevalence among children and adolescents in China. Our results highlight the significance of establishing further regulations on PM2.5 constituents.
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Affiliation(s)
- Jing Li
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Yi Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Jun Jiang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Xiaoyu Wan
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Yaqi Wang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Yinghua Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Yanhui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China.
| | - Zhiyong Zou
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China.
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
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Wang Z, Luo J, Zhang Y, Li J, Zhang J, Tian Y, Gao Y. High maternal glucose exacerbates the association between prenatal per- and polyfluoroalkyl substance exposure and reduced birth weight. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:160130. [PMID: 36372179 DOI: 10.1016/j.scitotenv.2022.160130] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 10/27/2022] [Accepted: 11/07/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Per- and polyfluoroalkyl substances (PFAS) exposure has been associated with reduced birth weight. However, the association may be complicated by glucose status due to PFAS impact on fetal growth and placental transport. OBJECTIVES To examine whether maternal glucose status modifies the association between prenatal PFAS exposure and birth weight z-score. METHODS We analyzed data of 1405 mother-child pairs from the prospective Shanghai Birth Cohort. Plasma concentrations of six PFAS were quantified in the first trimester. Fasting plasma glucose (FPG) was collected at 24-28 gestation weeks. A range of FPG cutoffs (4.9-5.4 mmol/L) covering current recommendations for gestational diabetes mellitus were used to define high and low FPG groups. Association between PFAS concentration and birth weight z-score was evaluated using multivariate linear regression in two FPG groups respectively, and the dose-response relationship was estimated with cutoffs ranging from low to high. We then used propensity score to counterbalance the effects of different PFAS concentrations between the high and low FPG groups, and run the regression again. RESULTS A doubling increase in concentrations of several PFAS was inversely associated with birth weight z-score. The association was more evident in high FPG groups and the magnitudes intensified when FPG cutoff increased. The strongest association was observed for PFOA, with the magnitude increased from -0.34 (95 % CI: -0.66, -0.03) for 5.0 mmol/L cutoff, to -0.41 (95 % CI: -0.77, -0.05) for 5.1 mmol/L cutoff, and further to -0.51 (95 % CI: -0.98, -0.03) for 5.3 mmol/L. Propensity score matching yielded similar results. CONCLUSIONS High maternal glucose level may increase the risk of reduced birth weight z-score related to prenatal PFAS exposure. Moreover, exploring the effects with different FPG cutoffs may contribute to providing intervention strategies for pregnant women with high PFAS exposure.
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Affiliation(s)
- Zixia Wang
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China; The Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Jiajun Luo
- Institute for Population and Precision Health, the University of Chicago, Chicago, IL, USA
| | - Yan Zhang
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiong Li
- Department of Clinical Medicine, Department of Clinical Epidemiology, Aarhus University, Denmark
| | - Jun Zhang
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Tian
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yu Gao
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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11
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Liu F, Wang X, Pan M, Zhang K, Zhou F, Tong J, Chen Z, Xiang H. Exposure to air pollution and prevalence of metabolic syndrome: A nationwide study in China from 2011 to 2015. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 855:158596. [PMID: 36089046 DOI: 10.1016/j.scitotenv.2022.158596] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/13/2022] [Accepted: 09/03/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Evidence concerning the influence of air pollution on metabolic syndrome (MetS) is still limited. We aimed to investigate whether sustained exposure to air pollutants are associated with increased prevalence of MetS and its individual components. METHODS We conducted a cross-sectional study comprised of 14,097 individuals participated in the first or third survey of the CHARLS. The personal cumulative (3-year averaged) exposure concentrations of nitrogen dioxide (NO2), particulate matter (PM) with a diameter of 1.0 μm or less (PM1), PM with a diameter of 10 μm or less (PM10) and PM with a diameter of 2.5 μm or less (PM2.5) were estimated using a spatiotemporal random forest model at 0.1° × 0.1° spatial resolution based on residential address of each participant provided. We utilized logistic regression models to estimate the associations of the four air pollutants with the prevalence of MetS and its individual components, and performed interaction analyses to evaluate potential effect modifications by gender, health status, age and drinking status. RESULTS Sustained exposure to air pollutants is associated with increased prevalence of MetS. For every 10 μg/m3 increase in NO2, PM1, PM10 and PM2.5, the adjusted odds ratio (OR) of MetS was 2.276 (95 % CI: 2.148, 2.412), 1.207 (95 % CI: 1.155, 1.263), 1.027 (95 % CI: 1.006, 1.048) and 1.027 (95 % CI: 0.989, 1.066), respectively. For MetS components, we observed significant associations between NO2, PM1, PM10 and central obesity, high blood pressure, elevated fasting glucose and low high-density lipoprotein cholesterol. For example, the adjusted OR of low high-density lipoprotein cholesterol for every 10 μg/m3 increase in NO2 was 1.855 (95 % CI: 1.764, 1.952). We also identified that age could significantly modified the association between NO2 and prevalence of MetS. CONCLUSIONS Chinese adults sustained exposure to higher concentrations of air pollutants are associated with increased prevalence of MetS and its components.
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Affiliation(s)
- Feifei Liu
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Xiangxiang Wang
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Mengnan Pan
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Ke Zhang
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Feng Zhou
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Jiahui Tong
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Zhongyang Chen
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Hao Xiang
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China.
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12
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Zhang J, Zhang F, Xin C, Duan Z, Wei J, Zhang X, Han S, Niu Z. Associations of long-term exposure to air pollution, physical activity with blood pressure and prevalence of hypertension: the China Health and Retirement Longitudinal Study. Front Public Health 2023; 11:1137118. [PMID: 37206865 PMCID: PMC10189054 DOI: 10.3389/fpubh.2023.1137118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 04/10/2023] [Indexed: 05/21/2023] Open
Abstract
Background Long-term exposure to air pollution and physical activity (PA) are linked to blood pressure and hypertension. However, the joint effect of air pollution and PA on blood pressure and hypertension are still unknown in Chinese middle-aged and older adults. Methods A total of 14,622 middle-aged and older adults from the China Health and Retirement Longitudinal Study wave 3 were included in this study. Ambient air pollution [particulate matter with diameter ≤ 2.5 μm (PM2.5), or ≤10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbonic oxide (CO)] were estimated using satellite-based spatiotemporal models. PA was investigated using International Physical Activity Questionnaire. Generalized linear models were used to examine the associations of air pollution, PA score with blood pressure [systolic blood pressure (SBP), diastolic blood pressure (DBP), and mean arterial pressure (MAP)], and the prevalence of hypertension. Subgroup analysis was conducted to investigate the effects of air pollution on blood pressure and the prevalence of hypertension in different PA groups. Results The results showed that for each inter-quartile range (IQR) increase in PM2.5 (25.45 μg/m3), PM10 (40.56 μg/m3), SO2 (18.61 μg/m3), NO2 (11.16 μg/m3), CO (0.42 mg/m3) and PA score (161.3 MET/h-week), the adjusted odd ratio (OR) of hypertension was 1.207 (95% confidence interval (CI): 1.137, 1.281), 1.189 (95%CI: 1.122, 1.260), 1.186 (95%CI: 1.112, 1.266), 1.186 (95%CI: 1.116, 1.260), 1.288 (95%CI: 1.223, 1.357), 0.948 (95%CI: 0.899, 0.999), respectively. Long-term exposure to PM2.5, PM10, SO2, NO2, and CO was associated with increased SBP, DBP, and MAP levels. For example, each IQR increase in PM2.5 was associated with 1.20 mmHg (95%CI: 0.69, 1.72) change in SBP, 0.66 mmHg (95%CI: 0.36, 0.97) change in DBP, and 0.84 mmHg (95%CI: 0.49, 1.19) change in MAP levels, respectively. Each IQR increase in PA score was associated with -0.56 mmHg (95%CI: -1.03, -0.09) change in SBP, -0.32 mmHg (95%CI: -0.59, -0.05) change in DBP, and -0.33 mmHg (95%CI: -0.64, -0.02) change in MAP levels, respectively. Subgroup analysis found that the estimated effects in the sufficient PA group were lower than that in the insufficient PA group. Conclusion Long-term exposure to air pollutants is associated with increased blood pressure and hypertension risk, while high-level PA is associated with decreased blood pressure and hypertension risk. Strengthening PA might attenuate the adverse effects of air pollution on blood pressure and hypertension risk.
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Affiliation(s)
- Jinglong Zhang
- Department of Cardiovascular Surgery, Xijing Hospital, The Fourth Military Medical University, Xi'an, China
| | - Fen Zhang
- Department of Hepatobiliary Surgery, Xijing Hospital, The Fourth Military Medical University, Xi'an, China
| | - Chao Xin
- PLA Rocket Force Characteristic Medical Center, Beijing, China
| | - Zhizhou Duan
- Preventive Health Service, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States
| | - Xi Zhang
- The First Clinical Medical College, Anhui Medical University, Hefei, Anhui, China
| | - Shichao Han
- Department of Urology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China
- *Correspondence: Shichao Han, ; Zhiping Niu,
| | - Zhiping Niu
- Department of Urology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China
- *Correspondence: Shichao Han, ; Zhiping Niu,
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13
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Wei X, Huang Z, Jiang L, Li Y, Zhang X, Leng Y, Jiang C. Charting the landscape of the environmental exposome. IMETA 2022; 1:e50. [PMID: 38867899 PMCID: PMC10989948 DOI: 10.1002/imt2.50] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 07/13/2022] [Accepted: 07/30/2022] [Indexed: 06/14/2024]
Abstract
The exposome depicts the total exposures in the lifetime of an organism. Human exposome comprises exposures from environmental and humanistic sources. Biological, chemical, and physical environmental exposures pose potential health threats, especially to susceptible populations. Although still in its nascent stage, we are beginning to recognize the vast and dynamic nature of the exposome. In this review, we systematically summarize the biological and chemical environmental exposomes in three broad environmental matrices-air, soil, and water; each contains several distinct subcategories, along with a brief introduction to the physical exposome. Disease-related environmental exposures are highlighted, and humans are also a major source of disease-related biological exposures. We further discuss the interactions between biological, chemical, and physical exposomes. Finally, we propose a list of outstanding challenges under the exposome research framework that need to be addressed to move the field forward. Taken together, we present a detailed landscape of environmental exposome to prime researchers to join this exciting new field.
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Affiliation(s)
- Xin Wei
- Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences InstituteZhejiang UniversityHangzhouZhejiangChina
| | - Zinuo Huang
- Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences InstituteZhejiang UniversityHangzhouZhejiangChina
| | - Liuyiqi Jiang
- Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences InstituteZhejiang UniversityHangzhouZhejiangChina
| | - Yueer Li
- Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences InstituteZhejiang UniversityHangzhouZhejiangChina
| | - Xinyue Zhang
- Department of GeneticsStanford UniversityStanfordCaliforniaUSA
| | - Yuxin Leng
- Department of Intensive Care UnitPeking University Third HospitalBeijingChina
| | - Chao Jiang
- Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences InstituteZhejiang UniversityHangzhouZhejiangChina
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, First Affiliated HospitalZhejiang University School of MedicineHangzhouZhejiangChina
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14
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Han S, Zhang F, Yu H, Wei J, Xue L, Duan Z, Niu Z. Systemic inflammation accelerates the adverse effects of air pollution on metabolic syndrome: Findings from the China health and Retirement Longitudinal Study (CHARLS). ENVIRONMENTAL RESEARCH 2022; 215:114340. [PMID: 36108720 DOI: 10.1016/j.envres.2022.114340] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 09/08/2022] [Accepted: 09/10/2022] [Indexed: 06/15/2023]
Abstract
Long-term exposure to air pollution and systemic inflammation are associated with increased prevalence of metabolic syndrome (MetS); however, their joint effects in Chinese middle-aged and older adults is unknown. In this cross-sectional study, 11,838 residents aged 45 years and older from the China Health and Retirement Longitudinal Study (CHARLS) Wave 3 in 2015 were included. MetS was diagnosed using the Joint Interim Societies' definition. C-Reactive Protein (CRP) was assessed to reflect systemic inflammation. Individual exposure to air pollutants (particulate matter with a diameter ≤2.5 μm (PM2.5) or ≤ 10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), and carbon monoxide (CO)) was evaluated using satellite-based spatiotemporal models according to participant residence at county-level. Generalized linear models (GLMs) were applied to examine the association between air pollution and MetS, and the modification effects of CRP between air pollution and MetS were estimated using interaction terms of CRP and air pollutants in the GLM models. The prevalence of MetS was 32.37%. The adjusted odd ratio (OR) of MetS was 1.192 (95% confidence interval (CI): 1.116, 1.272), 1.177 (95% CI: 1.103, 1.255), 1.158 (95% CI: 1.072, 1.252), 1.303 (95% CI: 1.211,1.403), 1.107 (95% CI: 1.046, 1.171) and 1.156 (95% CI:1.083, 1.234), per inter-quartile range increase in PM2.5 (24.04 μg/m3), PM10 (39.00 μg/m3), SO2 (19.05 μg/m3), NO2 (11.28 μg/m3), O3 (9.51 μg/m3) and CO (0.46 mg/m3), respectively. CRP was also associated with increased prevalence of MetS (OR = 1.049, 95% CI: 1.035, 1.064; per 1.90 mg/L increase in CRP). Interaction analysis suggested that high CRP levels enhanced the association between air pollution exposure and MetS. Long-term exposure to air pollution is associated with increased prevalence of MetS, which might be enhanced by systemic inflammation. Given the rapidly aging society and heavy burden of MetS, measures should be taken to improve air quality and reduce systemic inflammation.
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Affiliation(s)
- Shichao Han
- Department of Urology, Xijing Hospital, The Fourth Military Medical University, 127 West Changle Road, Xi'an, 710032, China
| | - Fen Zhang
- Departments of Hepatobiliary Surgery, Xijing Hospital, The Fourth Military Medical University, 127 West Changle Road, Xi'an, 710032, China
| | - Hongmei Yu
- Pukou District Center for Disease Control and Prevention, 120 Puyun Road, Nanjing, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USA
| | - Lina Xue
- Department of Medical Affairs, Tangdu Hospital, The Fourth Military Medical University, 1 Xinsi Road, Xi'an, China
| | - Zhizhou Duan
- Preventive Health Service, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, 152 Aiguo Road, Nanchang, Jiangxi, China.
| | - Zhiping Niu
- Department of Urology, Xijing Hospital, The Fourth Military Medical University, 127 West Changle Road, Xi'an, 710032, China.
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15
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Guo J, Xie X, Wu J, Yang L, Ruan Q, Xu X, Wei D, Wen Y, Wang T, Hu Y, Lin Y, Chen M, Wu J, Lin S, Li H, Wu S. Association between fine particulate matter and coronary heart disease: A miRNA microarray analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 313:120163. [PMID: 36122657 DOI: 10.1016/j.envpol.2022.120163] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 09/01/2022] [Accepted: 09/08/2022] [Indexed: 06/15/2023]
Abstract
Several studies have reported an association between residential surrounding particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5) and coronary heart disease (CHD). However, the underlying biological mechanism remains unclear. To fill this research gap, this study enrolled a residentially stable sample of 942 patients with CHD and 1723 controls. PM2.5 concentration was obtained from satellite-based annual global PM2.5 estimates for the period 1998-2019. MicroRNA microarray and pathway analysis of target genes was performed to elucidate the potential biological mechanism by which PM2.5 increases CHD risk. The results showed that individuals exposed to high PM2.5 concentrations had higher risks of CHD than those exposed to low PM2.5 concentrations (odds ratio = 1.22, 95% confidence interval: 1.00, 1.47 per 10 μg/m3 increase in PM2.5). Systolic blood pressure mediated 6.6% of the association between PM2.5 and CHD. PM2.5 and miR-4726-5p had an interaction effect on CHD development. Bioinformatic analysis demonstrated that miR-4726-5p may affect the occurrence of CHD by regulating the function of RhoA. Therefore, individuals in areas with high PM2.5 exposure and relative miR-4726-5p expression have a higher risk of CHD than their counterparts because of the interaction effect of PM2.5 and miR-4726-5p on blood pressure.
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Affiliation(s)
- Jianhui Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Xiaoxu Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Jieyu Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Le Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Qishuang Ruan
- Department of Orthopedics, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Xingyan Xu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Donghong Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Yeying Wen
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Tinggui Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Yuduan Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Yawen Lin
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Mingjun Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Jiadong Wu
- School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Shaowei Lin
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Huangyuan Li
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Siying Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, China.
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16
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Guo Q, Zhao Y, Xue T, Zhang J, Duan X. Association of PM 2.5 and Its Chemical Compositions with Metabolic Syndrome: A Nationwide Study in Middle-Aged and Older Chinese Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192214671. [PMID: 36429390 PMCID: PMC9690751 DOI: 10.3390/ijerph192214671] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 10/30/2022] [Accepted: 11/05/2022] [Indexed: 05/28/2023]
Abstract
Studies on the association of PM2.5 and its compositions with metabolic syndrome (MetS) were limited, and it was unclear which was the most hazardous composition. In this study, we aimed to investigate the association between PM2.5 and its compositions with MetS and identified the most hazardous composition. In this study, we included 13,418 adults over 45 years across 446 communities from 150 counties of 28 provinces in nationwide China in 2015. MetS was defined based on the five indicators of the Joint Interim Societies, including: blood pressure (SBP (systolic blood pressure) and DBP (diastolic blood pressure)); fasting blood glucose (FBG); fasting triglyceride (FTG); high density lipoprotein cholesterol (HDL-C); and waist circumference (WC). We used chemical transport models to estimate the concentration of PM2.5 and its compositions, including black carbon, ammonium, nitrate, organic matter, and sulfate. We used a generalized linear regression model to examine the association of PM2.5 and its compositions with MetS. In this study, we observed that the average age was 61.40 (standard deviation (SD): 9.59). Each IQR (29.76 μg/m3) increase in PM2.5 was associated with a 1.27 (95% CI: 1.17, 1.37) increase in the odds for MetS. We indicated that black carbon showed stronger associations than other compositions. The higher associations were observed among women, participants aged less than 60 years, who lived in urban areas and in the Northeast, smokers, drinkers, and the obese populations. In conclusion, our findings identified the most harmful composition and sensitive populations and regions that required attention, which would be helpful for policymakers.
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Affiliation(s)
- Qian Guo
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Yuchen Zhao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Tao Xue
- Institute of Reproductive and Child Health/Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100083, China
| | - Junfeng Zhang
- Nicholas School of the Environment and Global Health Institute, Duke University, Durham, NC 27708, USA
- Duke Kunshan University, Kunshan 215316, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
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17
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Bhattacharya SS, Yadav B, Yadav E, Hus A, Yadav N, Kaur P, Rosen L, Jandarov R, Yadav JS. Differential modulation of lung aquaporins among other pathophysiological markers in acute (Cl2 gas) and chronic (carbon nanoparticles, cigarette smoke) respiratory toxicity mouse models. Front Physiol 2022; 13:880815. [PMID: 36246134 PMCID: PMC9554232 DOI: 10.3389/fphys.2022.880815] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 08/29/2022] [Indexed: 11/18/2022] Open
Abstract
Inhaled toxic chemicals and particulates are known to disrupt lung homeostasis causing pulmonary toxicity and tissue injury. However, biomarkers of such exposures and their underlying mechanisms are poorly understood, especially for emerging toxicants such as engineered nanoparticles and chemical threat agents such as chlorine gas (Cl2). Aquaporins (AQPs), commonly referred to as water channels, are known to play roles in lung homeostasis and pathophysiology. However, little is known on their regulation in toxicant-induced lung injuries. Here, we compared four lung toxicity models namely, acute chemical exposure (Cl2)-, chronic particulate exposure (carbon nanotubes/CNT)-, chronic chemical exposure (cigarette smoke extract/CSE)-, and a chronic co-exposure (CNT + CSE)- model, for modulation of lung aquaporins (AQPs 1, 3, 4, and 5) in relation to other pathophysiological endpoints. These included markers of compromised state of lung mucosal lining [mucin 5b (MUC5B) and surfactant protein A (SP-A)] and lung-blood barrier [protein content in bronchoalveolar lavage (BAL) fluid and, cell tight junction proteins occludin and zona-occludens]. The results showed toxicity model-specific regulation of AQPs measured in terms of mRNA abundance. A differential upregulation was observed for AQP1 in acute Cl2 exposure model (14.71-fold; p = 0.002) and AQP3 in chronic CNT exposure model (3.83-fold; p = 0.044). In contrast, AQP4 was downregulated in chronic CSE model whereas AQP5 showed no significant change in any of the models. SP-A and MUC5B expression showed a decreasing pattern across all toxicity models except the acute Cl2 toxicity model, which showed a highly significant upregulation of MUC5B (25.95-fold; p = 0.003). This was consistent with other significant pathophysiological changes observed in this acute model, particularly a compromised lung epithelial-endothelial barrier indicated by significantly increased protein infiltration and expression of tight junction proteins, and more severe histopathological (structural and immunological) changes. To our knowledge, this is the first report on lung AQPs as molecular targets of the study toxicants. The differentially regulated AQPs, AQP1 in acute Cl2 exposure versus AQP3 in chronic CNT nanoparticle exposure, in conjunction with the corresponding differentially impacted pathophysiological endpoints (particularly MUC5B) could potentially serve as predictive markers of toxicant type-specific pulmonary injury and as candidates for future investigation for clinical intervention.
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Affiliation(s)
- Sukanta S. Bhattacharya
- Pulmonary Pathogenesis and Immunotoxicology Laboratory, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Brijesh Yadav
- Pulmonary Pathogenesis and Immunotoxicology Laboratory, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Ekta Yadav
- Pulmonary Pathogenesis and Immunotoxicology Laboratory, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, United States
- Department of Physiology and Biophysics, Case Western Reserve University School of Medicine, Cleveland, OH, United States
| | - Ariel Hus
- Department of Biology, University of Miami, Coral Gables, FL, United States
| | - Niket Yadav
- Pulmonary Pathogenesis and Immunotoxicology Laboratory, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, United States
- Medical Scientist Training Program, University of Virginia School of Medicine, Charlottesville, VA, United States
| | - Perminder Kaur
- Pulmonary Pathogenesis and Immunotoxicology Laboratory, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Lauren Rosen
- Department of Pathology and Laboratory Medicine, University of Cincinnati, UC Health University Hospital Laboratory Medicine Building, Cincinnati, OH, United States
| | - Roman Jandarov
- Division of Biostatistics and Bioinformatics, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Jagjit S. Yadav
- Pulmonary Pathogenesis and Immunotoxicology Laboratory, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, United States
- *Correspondence: Jagjit S. Yadav,
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