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Zhou Y, Li X, Fouxi Zhao, Yao C, Wang Y, Tang E, Wang K, Yu L, Zhou Z, Wei J, Li D, Liu T, Cai T. Rural-urban difference in the association between particulate matters and stroke incidence: The evidence from a multi-city perspective cohort study. ENVIRONMENTAL RESEARCH 2024; 261:119695. [PMID: 39102936 DOI: 10.1016/j.envres.2024.119695] [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: 05/28/2024] [Revised: 07/15/2024] [Accepted: 07/26/2024] [Indexed: 08/07/2024]
Abstract
Available evidence suggests that air pollutants can cause stroke, but little research has investigated the confounding effects of urban-rural differences. Here, we investigated the urban-rural difference in the correlation between particulate matter (PM2.5 and PM10) exposure and stroke. This cohort study was based on a prospective multi-city community-based cohort (Guizhou Population Health Cohort Study (GPHCS)) in Guizhou Province, China. A total of 7988 eligible individuals (≥18 years) were enrolled with baseline assessments from November 2010 to December 2012, and follow-up was completed by June 2020. Two major particulate matters (PMs, including PM2.5 and PM10) were assessed monthly from 2000 by using satellite-based spatiotemporal models. The risk of stroke was estimated using a Cox proportional hazard regression model. The association between particulate matters' exposure and stroke in different areas (total, urban, and rural) and the potential modification effect of comorbidities (hypertension, diabetes, and dyslipidemia) and age (≤65/>65 years) were examined using stratified analyses. The risk of stroke increased for every 10 μg/m3 increase in mean PMs' concentrations during the previous 1 year at the residential address (HR: 1.26, 95%CI: 1.24, 1.29 (PM2.5); HR: 1.13, 95%CI: 1.11, 1.15 (PM10)). The presence of diabetes and dyslipidemia increased the risk of PM10-induced stroke in whole, urban, and rural areas. Specifically, people living in rural areas were more likely to experience the effects of PMs in causing a stroke. The risk of stroke due to PMs was statistically increased in the young and older populations living in rural areas. In conclusion, long-term exposure to PMs increased the risk of stroke and such association was more pronounced in people living in rural areas with lower income levels. Diabetes and dyslipidemia seemed to strengthen the association between PMs and stroke.
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Affiliation(s)
- Yumeng Zhou
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Xuejiao Li
- Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou, 550004, China
| | - Fouxi Zhao
- Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou, 550004, China
| | - Chunyan Yao
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Yiying Wang
- Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou, 550004, China
| | - Enjie Tang
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Kexue Wang
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Lisha Yu
- Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou, 550004, China
| | - Zhujuan Zhou
- Department of Neurology, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, 20742, United States
| | - Dawei Li
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Tao Liu
- Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou, 550004, China.
| | - Tongjian Cai
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing, 400038, China.
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Azizi S, Hadi Dehghani M, Nabizadeh R. Ambient air fine particulate matter (PM10 and PM2.5) and risk of type 2 diabetes mellitus and mechanisms of effects: a global systematic review and meta-analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-20. [PMID: 39267465 DOI: 10.1080/09603123.2024.2391993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 08/08/2024] [Indexed: 09/17/2024]
Abstract
Type 2 diabetes causes early mortality worldwide. Air pollution's relationship with T2DM has been studied. The association between them is unclear because of inconsistent outcomes. Studies on this topic have been published since 2019, but not thoroughly evaluated. We conducted a systematic review and meta-analysis using relevant data. The study protocol was registered in PROSPIRO and conducted according to MOOSE guidelines. In total, 4510 manuscripts were found. After screening, 46 studies were assessed using the OHAT tool. This meta-analysis evaluated fine particles with T2DM using OR and HR effect estimates. Evaluation of publication bias was conducted by Egger's test, Begg's test, and funnel plot analysis. A sensitivity analysis was conducted to evaluate the influence of several studies on the total estimations. Results show a significant association between PM2.5 and PM10 exposure and T2DM. Long-term exposure to fine air particles may increase the prevalence and incidence of T2DM. Fine air pollution increases the chance of developing T2DM mainly via systemic inflammation, oxidative stress, and endoplasmic reticulum stress.
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Affiliation(s)
- Salah Azizi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Hadi Dehghani
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Solid Waste Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
| | - Ramin Nabizadeh
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
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Grimm D, Qian ZJ, Yong M, Hwang PH. The effect of PM2.5 on acute sinusitis: A population-based study. Int Forum Allergy Rhinol 2024; 14:1258-1260. [PMID: 38400591 DOI: 10.1002/alr.23328] [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: 09/07/2023] [Revised: 12/12/2023] [Accepted: 01/10/2024] [Indexed: 02/25/2024]
Abstract
KEY POINTS PM2.5 exposure is a risk factor for the development of acute sinusitis. PM2.5 exposure affects acute sinusitis in a dose response fashion.
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Affiliation(s)
- David Grimm
- Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, USA
| | - Z Jason Qian
- Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, USA
| | - Michael Yong
- Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, USA
| | - Peter H Hwang
- Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, USA
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Bonanni LJ, Wittkopp S, Long C, Aleman JO, Newman JD. A review of air pollution as a driver of cardiovascular disease risk across the diabetes spectrum. Front Endocrinol (Lausanne) 2024; 15:1321323. [PMID: 38665261 PMCID: PMC11043478 DOI: 10.3389/fendo.2024.1321323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
The prevalence of diabetes is estimated to reach almost 630 million cases worldwide by the year 2045; of current and projected cases, over 90% are type 2 diabetes. Air pollution exposure has been implicated in the onset and progression of diabetes. Increased exposure to fine particulate matter air pollution (PM2.5) is associated with increases in blood glucose and glycated hemoglobin (HbA1c) across the glycemic spectrum, including normoglycemia, prediabetes, and all forms of diabetes. Air pollution exposure is a driver of cardiovascular disease onset and exacerbation and can increase cardiovascular risk among those with diabetes. In this review, we summarize the literature describing the relationships between air pollution exposure, diabetes and cardiovascular disease, highlighting how airborne pollutants can disrupt glucose homeostasis. We discuss how air pollution and diabetes, via shared mechanisms leading to endothelial dysfunction, drive increased cardiovascular disease risk. We identify portable air cleaners as potentially useful tools to prevent adverse cardiovascular outcomes due to air pollution exposure across the diabetes spectrum, while emphasizing the need for further study in this particular population. Given the enormity of the health and financial impacts of air pollution exposure on patients with diabetes, a greater understanding of the interventions to reduce cardiovascular risk in this population is needed.
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Affiliation(s)
- Luke J. Bonanni
- Grossman School of Medicine, New York University (NYU) Langone Health, New York, NY, United States
| | - Sharine Wittkopp
- Division of Cardiovascular Disease, Grossman School of Medicine, New York University (NYU) Langone Health, New York, NY, United States
| | - Clarine Long
- Grossman School of Medicine, New York University (NYU) Langone Health, New York, NY, United States
| | - José O. Aleman
- Division of Endocrinology, Grossman School of Medicine, New York University (NYU) Langone Health, New York, NY, United States
| | - Jonathan D. Newman
- Division of Cardiovascular Disease, Grossman School of Medicine, New York University (NYU) Langone Health, New York, NY, United States
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Badpa M, Schneider A, Schwettmann L, Thorand B, Wolf K, Peters A. Air pollution, traffic noise, greenness, and temperature and the risk of incident type 2 diabetes: Results from the KORA cohort study. Environ Epidemiol 2024; 8:e302. [PMID: 38617422 PMCID: PMC11008658 DOI: 10.1097/ee9.0000000000000302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 02/12/2024] [Indexed: 04/16/2024] Open
Abstract
Introduction Type 2 diabetes (T2D) is a major public health concern, and various environmental factors have been associated with the development of this disease. This study aimed to investigate the longitudinal effects of multiple environmental exposures on the risk of incident T2D in a German population-based cohort. Methods We used data from the KORA cohort study (Augsburg, Germany) and assessed exposure to air pollutants, traffic noise, greenness, and temperature at the participants' residencies. Cox proportional hazard models were used to analyze the associations with incident T2D, adjusting for potential confounders. Results Of 7736 participants included in the analyses, 10.5% developed T2D during follow-up (mean: 15.0 years). We found weak or no association between environmental factors and the risk of T2D, with sex and education level significantly modifying the effects of air pollutants. Conclusion Our study contributes to the growing body of literature investigating the impact of environmental factors on T2D risks and suggests that the impact of environmental factors may be small.
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Affiliation(s)
- Mahnaz Badpa
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, Pettenkofer School of Public Health, LMU Munich, Munich, Germany
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Lars Schwettmann
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, Munich, Germany
- Department of Health Services Research, School of Medicine and Health Sciences, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, Pettenkofer School of Public Health, LMU Munich, Munich, Germany
- German Center for Diabetes Research (DZD), Partner München-Neuherberg, Neuherberg, Germany
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, Pettenkofer School of Public Health, LMU Munich, Munich, Germany
- German Center for Diabetes Research (DZD), Partner München-Neuherberg, Neuherberg, Germany
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Wang M, He Y, Zhao Y, Zhang L, Liu J, Zheng S, Bai Y. Exposure to PM 2.5 and its five constituents is associated with the incidence of type 2 diabetes mellitus: a prospective cohort study in northwest China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:34. [PMID: 38227152 DOI: 10.1007/s10653-023-01794-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 10/31/2023] [Indexed: 01/17/2024]
Abstract
Studies have demonstrated that fine particulate matter (PM2.5) is an underlying risk factor for type 2 diabetes mellitus (T2DM), but evidence exploring the relationship between PM2.5 chemical components and T2DM was extremely limited, to investigate the effects of long-term exposure to PM2.5 and its five constituents (sulfate [SO42-], nitrate [NO3-], ammonium [NH4+]), organic matter [OM] and black carbon [BC]) on incidence of T2DM. Based on the "Jinchang Cohort" platform, a total of 19,884 participants were selected for analysis. Daily average concentrations of pollutants were gained from Tracking Air Pollution in China (TAP). Cox proportional hazards regression models were utilized to estimate the hazard ratios (HR) and 95% confidence interval (CI) in single-pollutant models, restricted cubic splines functions were used to examine the dose-response relationships, and quantile g-computation (QgC) was applied to evaluate the combined effect of PM2.5 compositions on T2DM. Stratification analysis was also considered. A total of 791 developed new cases of T2DM were observed during a follow-up period of 45254.16 person-years. The concentrations of PM2.5, NO3-, NH4+, OM and BC were significantly associated with incidence of T2DM (P-trend < 0.05), with the HRs in the highest quartiles of 2.16 (95% CI 1.79, 2.62), 1.43 (95% CI 1.16, 1.75), 1.75 (95% CI 1.45, 2.11), 1.31 (95% CI 1.08, 1.59) and 1.79 (95% CI 1.46, 2.21), respectively. Findings of QgC model showed a noticeably positive joint effect of one quartile increase in PM2.5 constituents on increased T2DM morbidity (HR 1.27, 95% CI 1.09, 1.49), and BC (32.7%) contributed the most to the overall effect. The drinkers, workers and subjects with hypertension, obesity, higher physical activity, and lower education and income were generally more susceptible to PM2.5 components hazards. Long-term exposure to PM2.5 and its components (i.e., NO3-, NH4+, OM, BC) was positively correlated with T2DM incidence. Moreover, BC may be the most responsible for the association between PM2.5 constituents and T2DM. In the future, more epidemiological and experimental studies are needed to identify the link and potential biological mechanisms.
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Affiliation(s)
- Minzhen Wang
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, No. 199 Donggang West Road, Lanzhou, 730000, China
| | - Yingqian He
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, No. 199 Donggang West Road, Lanzhou, 730000, China
| | - Yanan Zhao
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, No. 199 Donggang West Road, Lanzhou, 730000, China
| | - Lulu Zhang
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, No. 199 Donggang West Road, Lanzhou, 730000, China
| | - Jing Liu
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, No. 199 Donggang West Road, Lanzhou, 730000, China
| | - Shan Zheng
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, No. 199 Donggang West Road, Lanzhou, 730000, China.
| | - Yana Bai
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, No. 199 Donggang West Road, Lanzhou, 730000, China
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Zhang F, Yang C, Wang F, Liu Y, Guo CG, Li P, Zhang L. Air pollution and the risk of incident chronic kidney disease in patients with diabetes: An exposure-response analysis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 270:115829. [PMID: 38103521 DOI: 10.1016/j.ecoenv.2023.115829] [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: 09/19/2023] [Revised: 12/10/2023] [Accepted: 12/11/2023] [Indexed: 12/19/2023]
Abstract
Impact of air pollution on incident chronic kidney disease (CKD) in diabetic patients is insufficiently studied. We aimed to examine exposure-response associations of PM2.5, PM10, PM2.5-10, NO2, and NOX with incident CKD in diabetic patients in the UK. We also widened exposure level of PM2.5 and examined PM2.5-CKD association in diabetic patients across the entire range of global concentration. Based on data from UK biobank cohort, we applied Cox proportional hazards models and the shape constrained health impact function to investigate the associations between air pollutants and incident CKD in diabetic patients. Global exposure mortality model was applied to combine the PM2.5-CKD association in diabetic patients in the UK with all other published associations. Multiple air pollutants were positively associated with incident CKD in diabetic patients in the UK, with hazard ratios (HRs) of 1.034 (95 %CI: 1.015-1.053) and 1.021 (95 %CI: 1.007-1.036) for every 1 μg/m3 increase in PM2.5 and PM10 concentration, and 1.113 (95 %CI: 1.053-1.177) and 1.058 (95 %CI: 1.027-1.091) for every 10 μg/m3 increase in NO2 and NOX concentration, respectively. For PM2.5-10, associations with CKD in diabetic patients did not reach the statistical significance. Exposure-response associations with CKD in diabetic patients showed a near-linear trend for PM2.5, PM10, NO2, and NOX in the UK, whereas PM2.5-DKD associations in the globe exhibited a non-linear increasing trend. This study supports that air pollution could significantly increase the risk of CKD onset in diabetic patients.
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Affiliation(s)
- Feifei Zhang
- National Institute of Health Data Science at Peking University, Peking University Health Science Center, Beijing 100191, China; Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China; State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing 100191, China
| | - Chao Yang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China; Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing 100034, China; Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China
| | - Fulin Wang
- National Institute of Health Data Science at Peking University, Peking University Health Science Center, Beijing 100191, China; Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China; State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing 100191, China
| | - Yuhao Liu
- Peking University Health Science Center, Beijing 100191, China
| | - Chuan-Guo Guo
- Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Pengfei Li
- Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China
| | - Luxia Zhang
- National Institute of Health Data Science at Peking University, Peking University Health Science Center, Beijing 100191, China; Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China; State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing 100191, China; Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China; Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing 100034, China; Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China.
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8
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Lauterbach KW. Evidence-based policy-making - epidemiology as a key science for quality of life in society. Eur J Epidemiol 2023; 38:1205-1212. [PMID: 37940766 PMCID: PMC10757906 DOI: 10.1007/s10654-023-01056-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 10/04/2023] [Indexed: 11/10/2023]
Affiliation(s)
- Karl W Lauterbach
- Minister of Health, Federal Ministry of Health, 11055, Berlin, Germany.
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9
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Guo H, Wang M, Ye Y, Huang C, Wang S, Peng H, Wang X, Fan M, Hou T, Wu X, Huang X, Yan Y, Zheng K, Wu T, Li L. Short-Term Exposure to Nitrogen Dioxide Modifies Genetic Predisposition in Blood Lipid and Fasting Plasma Glucose: A Pedigree-Based Study. BIOLOGY 2023; 12:1470. [PMID: 38132296 PMCID: PMC10740487 DOI: 10.3390/biology12121470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 11/13/2023] [Accepted: 11/24/2023] [Indexed: 12/23/2023]
Abstract
(1) Background: Previous studies suggest that exposure to nitrogen dioxide (NO2) has a negative impact on health. But few studies have explored the association between NO2 and blood lipids or fasting plasma glucose (FPG), as well as gene-air pollution interactions. This study aims to fill this knowledge gap based on a pedigree cohort in southern China. (2) Methods: Employing a pedigree-based design, 1563 individuals from 452 families participated in this study. Serum levels of triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDLC), high-density lipoprotein cholesterol (HDLC), and FPG were measured. We investigated the associations between short-term NO2 exposure and lipid profiles or FPG using linear mixed regression models. The genotype-environment interaction (GenoXE) for each trait was estimated using variance component models. (3) Results: NO2 was inversely associated with HDLC but directly associated with TG and FPG. The results showed that each 1 μg/m3 increase in NO2 on day lag0 corresponded to a 1.926% (95%CI: 1.428-2.421%) decrease in HDLC and a 1.400% (95%CI: 0.341-2.470%) increase in FPG. Moreover, we observed a significant genotype-NO2 interaction with HDLC and FPG. (4) Conclusion: This study highlighted the association between NO2 exposure and blood lipid profiles or FPG. Additionally, our investigation suggested the presence of genotype-NO2 interactions in HDLC and FPG, indicating potential loci-specific interaction effects. These findings have the potential to inform and enhance the interpretation of studies that are focused on specific gene-environment interactions.
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Affiliation(s)
- Huangda Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; (H.G.)
| | - Mengying Wang
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China
| | - Ying Ye
- Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350012, China
| | - Chunlan Huang
- Department of Hygiene, Nanjing Country Center for Disease Control and Prevention, Nanjing 363600, China
| | - Siyue Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; (H.G.)
| | - Hexiang Peng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; (H.G.)
| | - Xueheng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; (H.G.)
| | - Meng Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; (H.G.)
| | - Tianjiao Hou
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; (H.G.)
| | - Xiaoling Wu
- Department of Hygiene, Nanjing Country Center for Disease Control and Prevention, Nanjing 363600, China
| | - Xiaoming Huang
- Department of Hygiene, Nanjing Country Center for Disease Control and Prevention, Nanjing 363600, China
| | - Yansheng Yan
- Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350012, China
| | - Kuicheng Zheng
- Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350012, China
| | - Tao Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; (H.G.)
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
- Key Laboratory of Reproductive Health, Ministry of Health, Beijing 100191, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; (H.G.)
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
- Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing 100191, China
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10
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Pan SC, Huang CC, Chen BY, Chin WS, Guo YL. Risk of type 2 diabetes after diagnosed gestational diabetes is enhanced by exposure to PM2.5. Int J Epidemiol 2023; 52:1414-1423. [PMID: 37229603 DOI: 10.1093/ije/dyad071] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 05/11/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Air pollution and gestational diabetes mellitus (GDM) are both associated with increased diabetes mellitus (DM) occurrence. However, whether air pollutants modify the effects of GDM on the occurrence of DM has been unknown. This study aims to determine whether the effect of GDM on DM development can be modified by exposure to ambient air pollutants. METHODS Women with one singleton birth delivery during 2004-14 according to the Taiwan Birth Certificate Database (TBCD) were included as the study cohort. Those newly diagnosed as having DM 1 year or later after childbirth were identified as DM cases. Controls were selected among women without DM diagnosis during follow-up. Personal residence was geocoded and linked with interpolated concentrations of air pollutants into township levels. Conditional logistic regression was used to determine the odds ratio (OR) of pollutant exposure and GDM, adjusting for age, smoking and meteorological variables. RESULTS There were 9846 women who were newly diagnosed as having DM over a mean follow-up period of 10.2 years. We involved them and the 10-fold matching controls involved in our final analysis. The OR (odds ratio) (95% confidence interval, 95% CI) of DM occurrence per interquartile range increased in particulate matter (PM) smaller than or equal to 2.5 µm (PM2.5) and ozone (O3) was 1.31 (1.22-1.41) and 1.20 (1.16-1.25), respectively. The effects of PM exposure on DM development were significantly higher in the GDM group (OR: 2.46, 95% CI: 1.84-3.30) than in the non-GDM group (OR: 1.30, 95% CI: 1.21-1.40). CONCLUSIONS Exposure to high levels of PM2.5 and O3 elevates the risk of DM. GDM acted synergistically in DM development with exposure to PM2.5 but not with that to O3.
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Affiliation(s)
- Shih-Chun Pan
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan
| | - Ching-Chun Huang
- Environmental and Occupational Medicine, College of Medicine, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan
- Environmental and Occupational Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan
| | - Bing-Yu Chen
- Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Wei-Shan Chin
- School of Nursing, College of Medicine, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan
| | - Yue Leon Guo
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan
- Environmental and Occupational Medicine, College of Medicine, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan
- Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan
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Zhang J, Zhang WH, Morisseau C, Zhang M, Dong HJ, Zhu QM, Huo XK, Sun CP, Hammock BD, Ma XC. Genetic deletion or pharmacological inhibition of soluble epoxide hydrolase attenuated particulate matter 2.5 exposure mediated lung injury. JOURNAL OF HAZARDOUS MATERIALS 2023; 458:131890. [PMID: 37406527 PMCID: PMC10699546 DOI: 10.1016/j.jhazmat.2023.131890] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/27/2023] [Accepted: 06/17/2023] [Indexed: 07/07/2023]
Abstract
Air pollution represented by particulate matter 2.5 (PM2.5) is closely related to diseases of the respiratory system. Although the understanding of its mechanism is limited, pulmonary inflammation is closely correlated with PM2.5-mediated lung injury. Soluble epoxide hydrolase (sEH) and epoxy fatty acids play a vital role in the inflammation. Herein, we attempted to use the metabolomics of oxidized lipids for analyzing the relationship of oxylipins with lung injury in a PM2.5-mediated mouse model, and found that the cytochrome P450 oxidases/sEH mediated metabolic pathway was involved in lung injury. Furthermore, the sEH overexpression was revealed in lung injury mice. Interestingly, sEH genetic deletion or the selective sEH inhibitor TPPU increased levels of epoxyeicosatrienoic acids (EETs) in lung injury mice, and inactivated pulmonary macrophages based on the MAPK/NF-κB pathway, resulting in protection against PM2.5-mediated lung injury. Additionally, a natural sEH inhibitor luteolin from Inula japonica displayed a pulmonary protective effect towards lung injury mediated by PM2.5 as well. Our results are consistent with the sEH message and protein being both a marker and mechanism for PM2.5-induced inflammation, which suggest its potential as a pharmaceutical target for treating diseases of the respiratory system.
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Affiliation(s)
- Juan Zhang
- Second Affiliated Hospital, Dalian Medical University, Dalian 116044, People's Republic of China; School of Pharmaceutical Sciences, Medical School, Shenzhen University, Shenzhen 518061, People's Republic of China
| | - Wen-Hao Zhang
- Second Affiliated Hospital, Dalian Medical University, Dalian 116044, People's Republic of China; College of Pharmacy, Dalian Medical University, Dalian 116044, People's Republic of China
| | - Christophe Morisseau
- Department of Entomology and Nematology, UC Davis Comprehensive Cancer Center, University of California, Davis, CA 95616, United States
| | - Min Zhang
- Second Affiliated Hospital, Dalian Medical University, Dalian 116044, People's Republic of China; College of Pharmacy, Dalian Medical University, Dalian 116044, People's Republic of China
| | - Hong-Jun Dong
- Second Affiliated Hospital, Dalian Medical University, Dalian 116044, People's Republic of China
| | - Qi-Meng Zhu
- Second Affiliated Hospital, Dalian Medical University, Dalian 116044, People's Republic of China; College of Pharmacy, Dalian Medical University, Dalian 116044, People's Republic of China
| | - Xiao-Kui Huo
- Second Affiliated Hospital, Dalian Medical University, Dalian 116044, People's Republic of China
| | - Cheng-Peng Sun
- Second Affiliated Hospital, Dalian Medical University, Dalian 116044, People's Republic of China; College of Pharmacy, Dalian Medical University, Dalian 116044, People's Republic of China; School of Chinese Materia Medica, State Key Laboratory of Component-Based Chinese Medicine, Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, People's Republic of China.
| | - Bruce D Hammock
- Department of Entomology and Nematology, UC Davis Comprehensive Cancer Center, University of California, Davis, CA 95616, United States.
| | - Xiao-Chi Ma
- Second Affiliated Hospital, Dalian Medical University, Dalian 116044, People's Republic of China.
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Zhang W, Zhang R, Tian T, Liu T, Dong J, Ruan Y. Acute effects of air pollution on type II diabetes mellitus hospitalization in Lanzhou, China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:5927-5941. [PMID: 37184722 DOI: 10.1007/s10653-023-01604-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 05/02/2023] [Indexed: 05/16/2023]
Abstract
Studies on the effects of short-term air pollution exposure on hospitalization for type 2 diabetes mellitus (T2DM) are relatively scarce in developing regions. The time-series study was used to explore the acute effects of air pollutants on hospitalization for T2DM in Lanzhou, China. A distribution lag nonlinear model based on the generalized additive model was used to analyze the hospitalization impact of air pollution on T2DM. Stratified analysis by gender, age and season was obtained. The results were indicated as the relative risk (RR) with 95% confidence interval (CI) for single-day lags (from lag0 to lag7) and cumulative lag days (from lag0-1 to lag0-7). The strongest correlations (RR, 95% CI) of hospitalization for T2DM and PM10 (RR = 1.003, 95% CI 1.000, 1.001) at lag7 and NO2 (RR = 1.022, 95% CI 1.000, 1.045) at lag0-4 were observed for an increase of 10 µg/m3 in the concentrations and CO (RR = 1.091, 95% CI 1.017, 1.170) at lag0-4 for an increase of 1 mg/m3 in the concentration. The hazardous impacts of PM10, NO2 and CO were greater for females, people aged ≥ 65 years and in the cold season. However, there was no significant association between PM2.5, SO2 and O38h and the number of hospitalizations for T2DM.
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Affiliation(s)
- Wancheng Zhang
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Runping Zhang
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Tian Tian
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Tong Liu
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Jiyuan Dong
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Ye Ruan
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China.
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13
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Kutlar Joss M, Boogaard H, Samoli E, Patton AP, Atkinson R, Brook J, Chang H, Haddad P, Hoek G, Kappeler R, Sagiv S, Smargiassi A, Szpiro A, Vienneau D, Weuve J, Lurmann F, Forastiere F, Hoffmann BH. Long-Term Exposure to Traffic-Related Air Pollution and Diabetes: A Systematic Review and Meta-Analysis. Int J Public Health 2023; 68:1605718. [PMID: 37325174 PMCID: PMC10266340 DOI: 10.3389/ijph.2023.1605718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 05/15/2023] [Indexed: 06/17/2023] Open
Abstract
Objectives: We report results of a systematic review on the health effects of long-term traffic-related air pollution (TRAP) and diabetes in the adult population. Methods: An expert Panel appointed by the Health Effects Institute conducted this systematic review. We searched the PubMed and LUDOK databases for epidemiological studies from 1980 to July 2019. TRAP was defined based on a comprehensive protocol. Random-effects meta-analyses were performed. Confidence assessments were based on a modified Office for Health Assessment and Translation (OHAT) approach, complemented with a broader narrative synthesis. We extended our interpretation to include evidence published up to May 2022. Results: We considered 21 studies on diabetes. All meta-analytic estimates indicated higher diabetes risks with higher exposure. Exposure to NO2 was associated with higher diabetes prevalence (RR 1.09; 95% CI: 1.02; 1.17 per 10 μg/m3), but less pronounced for diabetes incidence (RR 1.04; 95% CI: 0.96; 1.13 per 10 μg/m3). The overall confidence in the evidence was rated moderate, strengthened by the addition of 5 recently published studies. Conclusion: There was moderate evidence for an association of long-term TRAP exposure with diabetes.
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Affiliation(s)
- Meltem Kutlar Joss
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany
| | | | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Richard Atkinson
- Population Health Research Institute, St. George’s University of London, London, United Kingdom
| | - Jeff Brook
- Occupational and Environmental Health Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Howard Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Pascale Haddad
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Ron Kappeler
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Sharon Sagiv
- Center for Environmental Research and Children’s Health, Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA, United States
| | - Audrey Smargiassi
- Department of Environmental and Occupational Health, School of Public Health, University of Montreal, Montreal, QC, Canada
| | - Adam Szpiro
- Department of Biostatistics, University of Washington, Seattle, WA, United States
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Jennifer Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
| | - Fred Lurmann
- Sonoma Technology, Inc., Petaluma, CA, United States
| | - Francesco Forastiere
- Faculty of Medicine, School of Public Health, Imperial College, London, United Kingdom
| | - Barbara H. Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany
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Akhlaq S, Ara SA, Ahmad B, Fazil M, Akram U, Haque M, Khan AA. Interventions of Unani medicine for maintenance of health with special reference to air quality: an evidence-based review. REVIEWS ON ENVIRONMENTAL HEALTH 2023; 38:85-96. [PMID: 34883008 DOI: 10.1515/reveh-2021-0116] [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: 09/02/2021] [Accepted: 11/17/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVES This article aims to discuss the impact of air quality on human health, measures to achieve the goal of good indoor air quality and proposed benefits of interventions of Unani Medicine with an evidence-based approach. CONTENT The significance of air quality on the health of the community cannot be denied. Recent evidences from WHO illustrated data on severe air pollutants and their impacts on human health ranges from minor upper respiratory irritation to chronic respiratory ailments including lung carcinoma and heart disease associated with premature mortality and reduced life expectancy. In Unani Medicine, air has been included in the list of factors, which are six in number and play the central role in prevention of diseases and maintenance of health. Air is considered as the medium of most of the extrinsic factors such as chemical and biological pollutants affecting health and their exposure results in short and long-term health issues. The literature of Unani Medicine proposes many simple and effective measures, which help to improve indoor and outdoor air quality. The goal of outdoor clean air is achieved through implementation of measures to tackle the source of pollution, while indoor clean air is attained through various means e.g., fumigation with herbal drugs. Hence, an extensive literature survey on Unani reserve was conducted to collect information about the concept of air discussed under the heading of six essential factors and its implication in prevention of diseases and maintenance of health. Further, research databases such as Pub Med, Google Scholar, and Science-Direct were broadly searched for evidence on the efficacy of herbals mentioned in Unani literature for the indoor air purification and subsequent air quality improvement. SUMMARY AND OUTLOOK Recent studies showed good air quality leads to decrease in mortality, particularly of respiratory and cardiovascular deaths whereas poor air quality results in a variety of diseases. Unani scholars prescribed several regimens such as Bukhoor (Fumigation), Sa'oot (Nasal instillation) and use of Abeer (Perfumes) and Nadd (Incense) for the improvement of air quality. Likewise various herbal fumigants and sprays containing drugs like mī'a sā'ila (Liquidambar orientalis Mill.), mastagi (Pistacia lentiscus L.), mushk (Moschus moschiferus L.), loban (Styrax benzoides W. G. Craib), ābnoos (Diospyros ebenum J. Koenig ex Retz), zā'fran (Crocus sativus L.) and sirka (vinegar) etc. has been well explained and used exclusively for air purification and improvement of AQI. Therefore, in the present scenario of altered air quality, we forward certain measures described in Unani system of medicine for health promotion and protection. Scientific evidence on several drugs reveal the presence of a number of pharmacologically active substances, which may provide a new approach into the purification of air.
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Al-Shihabi F, Moore A, Chowdhury TA. Diabetes and climate change. Diabet Med 2023; 40:e14971. [PMID: 36209378 DOI: 10.1111/dme.14971] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/03/2022] [Indexed: 11/26/2022]
Abstract
It is widely accepted that climate change is the biggest threat to human health. The pandemic of diabetes is also a major threat to human health, especially in rapidly developing nations. Climate change and diabetes appear to have common global vectors, including increased urbanisation, increased use of transportation, and production and ingestion of ultra-processed foods. People with diabetes appear to be at higher risk of threats to health from climate change, including effects from extreme heat or extreme cold, and natural disasters. Solutions to climate change offer some benefits for the prevention of diabetes and diabetes-related complications. Moving towards lower carbon economies is likely to help reduce reliance on intensive agriculture, reduce physical inactivity, reduce air pollution and enhance quality of life. It may enable a reduction in the prevalence of diabetes and reduced morbidity from the condition.
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Affiliation(s)
- Fatima Al-Shihabi
- Department of Diabetes and Metabolism, Royal London Hospital, London, UK
| | - Anna Moore
- Department of Diabetes and Metabolism, Royal London Hospital, London, UK
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16
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Bayram A, Arkan E, Sutcu M. Toxic gas removal with kaolinite, metakaolinite, radiolarite, and diatomite. CHEMOSPHERE 2023; 314:137707. [PMID: 36592829 DOI: 10.1016/j.chemosphere.2022.137707] [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: 11/29/2022] [Revised: 12/21/2022] [Accepted: 12/29/2022] [Indexed: 06/17/2023]
Abstract
In this study, some clays and dead microorganisms were compared in terms of their adsorption ability against special toxic gases. To this end, an experimental investigation was conducted to explore the adsorption kinetics of kaolinite, metakaolinite, radiolarite, and diatomite to ammonia (NH3), ethylene (C2H4), and carbon dioxide (CO2). Numerous analyses, such as x-ray fluorescence (XRF), x-ray diffraction (XRD), thermo-gravimetric analysis (TGA), scanning electron microscopy (SEM), and particle size distribution, have been performed for mineralogical and structural characterization of studied materials. Also, adsorption characteristics were investigated with the help of an ultra-precision scale and computer-controlled multi-gas control system. Since ammonia has the highest dipole moment among all studied gases, its removal efficiency was found as the highest in all materials. Regarding clay substances, metakaolinite indicated a lower response than kaolinite due to phase transformation. But, considering the microorganisms, diatomite toxic gas uptake is at least five times better than examined clays while the gas uptake behavior of radiolarite is analog to metakaolinite. Moreover, the adsorption behaviors of proposed materials are clarified with Langmuir isotherms, The results could facilitate improvements in applying microorganisms to the toxic gas environment as a natural adsorbent material.
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Affiliation(s)
- Abdullah Bayram
- Agricultural and Biological Engineering, Purdue University, West Lafayette, 47907, Indiana, USA
| | - Emre Arkan
- Institute of Chemistry, University of Silesia in Katowice, Szkolna 9, Katowice 40-006, Poland
| | - Mucahit Sutcu
- Department of Metallurgical and Materials Engineering, Izmir Katip Celebi University, 35620 İzmir, Turkiye.
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17
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Sommar JN, Segersson D, Flanagan E, Oudin A. Long-term residential exposure to source-specific particulate matter and incidence of diabetes mellitus - A cohort study in northern Sweden. ENVIRONMENTAL RESEARCH 2023; 217:114833. [PMID: 36402182 DOI: 10.1016/j.envres.2022.114833] [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: 03/08/2022] [Revised: 11/11/2022] [Accepted: 11/14/2022] [Indexed: 06/16/2023]
Abstract
Diabetes mellitus (DM) incidence have been assessed in connection with air pollution exposure in several studies; however, few have investigated associations with source-specific local emissions. This study aims to estimate the risk of DM incidence associated with source-specific air pollution in a Swedish cohort with relatively low exposure. Individuals in the Västerbotten intervention programme cohort were followed until either a DM diagnosis or initiation of treatment with glucose-lowering medication occurred. Dispersion models with high spatial resolution were used to estimate annual mean concentrations of particulate matter (PM) with aerodynamic diameter ≤10 μm (PM10) and ≤2.5 μm (PM2.5) at individual addresses. Hazard ratios were estimated using Cox regression models in relation to moving averages 1-5 years preceding the outcome. During the study period, 1479 incident cases of DM were observed during 261,703 person-years of follow-up. Increased incidence of DM was observed in association with PM10 (4% [95% CI: -54-137%] per 10 μg/m3), PM10-traffic (2% [95% CI: -6-11%] per 1 μg/m3) and PM2.5-exhaust (11% [95% CI: -39-103%] per 1 μg/m3). A negative association was found for both PM2.5 (-18% [95% CI: -99-66%] per 5 μg/m3), but only in the 2nd exposure tertile (-10% [95% CI: -25-9%] compared to the first tertile), and PM2.5-woodburning (-30% [95% CI: -49-4%] per 1 μg/m3). In two-pollutant models including PM2.5-woodburning, there was an 11% [95% CI: -11-38%], 6% [95% CI: -16-34%], 13% [95% CI: -7-36%] and 17% [95% CI: 4-41%] higher risk in the 3rd tertile of PM10, PM2.5, PM10-traffic and PM2.5-exhaust, respectively, compared to the 1st. Although the results lacked in precision they are generally in line with the current evidence detailing particulate matter air pollution from traffic as an environmental risk factor for DM.
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Affiliation(s)
- Johan N Sommar
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
| | - David Segersson
- Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
| | - Erin Flanagan
- Division for Occupational and Environmental Medicine, Department for Laboratory Medicine, Lund University, Lund, Sweden
| | - Anna Oudin
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden; Division for Occupational and Environmental Medicine, Department for Laboratory Medicine, Lund University, Lund, Sweden
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18
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Aminorroaya A, Feizi A, Shahraki P, Najafabadi A, Iraj B, Abyar M, Amini M, Meamar R. The association of exposure to air pollution with changes in plasma glucose indices, and incidence of diabetes and prediabetes: A prospective cohort of first-degree relatives of patients with type 2 diabetes. JOURNAL OF RESEARCH IN MEDICAL SCIENCES 2023; 28:21. [DOI: 10.4103/jrms.jrms_477_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 09/26/2022] [Accepted: 10/18/2022] [Indexed: 04/03/2023]
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19
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Liu F, Zhang K, Chen G, He J, Pan M, Zhou F, Wang X, Tong J, Guo Y, Li S, Xiang H. Sustained air pollution exposures, fasting plasma glucose, glycated haemoglobin, prevalence and incidence of diabetes: a nationwide study in China. Int J Epidemiol 2022; 51:1862-1873. [PMID: 35947763 DOI: 10.1093/ije/dyac162] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 08/02/2022] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Evidence remains limited and inconsistent for the associations between sustained air pollution exposures and diabetes development. This study aimed to determine the potential effects of particulate matter with a diameter of ≤10 micrometres (PM10), particulate matter with a diameter of ≤2.5 micrometres (PM2.5) and nitrogen dioxide (NO2) on alterations of fasting plasma glucose (FPG), glycated haemoglobin (HbA1c), in particular, on prevalence and incidence of diabetes. METHODS Cross-sectional analyses were conducted based on 9628 participants aged ≥45 years from the baseline survey (2011) of the China Health and Retirement Longitudinal Study (CHARLS), whereas cohort analyses were based on 3510 individuals without diabetes at baseline in the third survey (2015). Residences of participants were geocoded and the air pollution exposures were estimated using a satellite-based spatiotemporal model. Linear, logistic and modified Poisson regression models, adjusting for multiple confounders, were applied to assess the associations between air pollution and FPG, HbA1c, prevalence and incidence of diabetes, respectively. RESULTS Associations between PM10, PM2.5 and increased levels of FPG and HbA1c were identified. The levels of FPG and HbA1c increased by 0.025 mmol/L (95% CI: 0.007, 0.044) and 0.011 mmol/L (95% CI: 0.002, 0.019), respectively, for a 10-μg/m3 increase in PM10, and the levels of FPG and HbA1c increased by 0.061 mmol/L (95% CI: 0.028, 0.096) and 0.016 mmol/L (95% CI: 0.000, 0.031), respectively, for a 10-μg/m3 increase in PM2.5. There were also positive associations between diabetes prevalence and PM2.5 and PM10. In the cohort analyses, PM10, PM2.5 and NO2 were associated with a higher incidence of diabetes. CONCLUSION Air pollution was allied to diabetes development in elderly Chinese populations. Considering the impact of the dramatic increase in the incidence and prevalence of diabetes in China, interventions to improve air quality are urgently needed.
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Affiliation(s)
- Feifei Liu
- Department of Global Health, School of Public Health, Wuhan, China
- Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Ke Zhang
- Department of Global Health, School of Public Health, Wuhan, China
- Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Gongbo Chen
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Jie He
- Department of Environmental Health Sciences, School of Public Health, University of Michigan-Ann Arbor, Ann Arbor, USA
| | - Mengnan Pan
- Department of Global Health, School of Public Health, Wuhan, China
- Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Feng Zhou
- Department of Global Health, School of Public Health, Wuhan, China
- Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Xiangxiang Wang
- Department of Global Health, School of Public Health, Wuhan, China
- Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Jiahui Tong
- Department of Global Health, School of Public Health, Wuhan, China
- Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Shanshan Li
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Hao Xiang
- Department of Global Health, School of Public Health, Wuhan, China
- Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
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20
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Dwivedi AK, Vishwakarma D, Dubey P, Reddy SY. Air Pollution and the Heart: Updated Evidence from Meta-analysis Studies. Curr Cardiol Rep 2022; 24:1811-1835. [PMID: 36434404 DOI: 10.1007/s11886-022-01819-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/18/2022] [Indexed: 11/27/2022]
Abstract
PURPOSE OF REVIEW Although environmental exposure such as air pollution is detrimental to cardiovascular disease (CVD), the effects of different air pollutants on different CVD endpoints produced variable findings. We provide updated evidence between air pollutants and CVD outcomes including mitigation strategies with meta-analytic evidence. RECENT FINDINGS An increased exposure to any class of air pollutants including particulate matter (PM), gas, toxic metals, and disruptive chemicals has been associated with CVD events. Exposure to PM < 2.5 μm has been consistently associated with most heart diseases and stroke as well as CVDs among at-risk individuals. Despite this, there is no clinical approach available for systemic evaluation of air pollution exposure and management. A large number of epidemiological evidence clearly suggests the importance of air pollution prevention and control for reducing the risk of CVDs and mortality. Cost-effective and feasible strategies for air pollution monitoring, screening, and necessary interventions are urgently required among at-risk populations and those living or working, or frequently commuting in polluted areas.
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Affiliation(s)
- Alok Kumar Dwivedi
- Division of Biostatistics & Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, 5001, El Paso Drive, El Paso, TX, 79905, USA. .,Biostatistics and Epidemiology Consulting Lab, Office of Research, Texas Tech University Health Sciences Center El Paso, El Paso, TX, USA.
| | - Deepanjali Vishwakarma
- Division of Biostatistics & Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, 5001, El Paso Drive, El Paso, TX, 79905, USA
| | - Pallavi Dubey
- Department of Obstetrics and Gynecology, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, USA
| | - Sireesha Y Reddy
- Department of Obstetrics and Gynecology, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, USA
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Chen Z, Liu N, Tang H, Gao X, Zhang Y, Kan H, Deng F, Zhao B, Zeng X, Sun Y, Qian H, Liu W, Mo J, Zheng X, Huang C, Sun C, Zhao Z. Health effects of exposure to sulfur dioxide, nitrogen dioxide, ozone, and carbon monoxide between 1980 and 2019: A systematic review and meta-analysis. INDOOR AIR 2022; 32:e13170. [PMID: 36437665 DOI: 10.1111/ina.13170] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 10/23/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
The burden of disease attributed to the indoor exposure to sulfur dioxide (SO2 ), nitrogen dioxide (NO2 ), ozone (O3 ), and carbon monoxide (CO) is not clear, and the quantitative concentration-response relationship is a prerequisite. This is a systematic review to summarize the quantitative concentration-response relationships by screening and analyzing the polled effects of population-based epidemiological studies. After collecting literature published between 1980 and 2019, a total of 19 health outcomes in 101 studies with 182 health risk estimates were recruited. By meta-analysis, the leave-one-out sensitivity analysis and Egger's test for publication bias, the robust and reliable effects were found for SO2 (per 10 μg/m3 ) with chronic obstructive pulmonary diseases (COPD) (pooled relative risks [RRs] 1.016, 95% CI: 1.012-1.021) and cardiovascular diseases (CVD) (RR 1.012, 95%CI: 007-1.018), respectively. NO2 (per 10 μg/m3 ) had the pooled RRs for childhood asthma, preterm birth, lung cancer, diabetes, and COPD by 1.134 (1.084-1.186), 1.079 (1.007-1.157), 1.055 (1.010-1.101), 1.019 (1.009-1.029), and 1.016 (1.012-1.120), respectively. CO (per 1 mg/m3 ) was significantly associated with Parkinson's disease (RR 1.574, 95% CI: 1.069-2.317) and CVD (RR 1.024, 95% CI: 1.011-1.038). No robust effects were observed for O3 . This study provided evidence and basis for further estimation of the health burden attributable to the four gaseous pollutants.
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Affiliation(s)
- Zhuoru Chen
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Ningrui Liu
- Department of Building Science, Tsinghua University, Beijing, China
| | - Hao Tang
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xuehuan Gao
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Yinping Zhang
- Department of Building Science, Tsinghua University, Beijing, China
| | - Haidong Kan
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Furong Deng
- School of Public Health, Peking University, Beijing, China
| | - Bin Zhao
- Department of Building Science, Tsinghua University, Beijing, China
| | - Xiangang Zeng
- School of Environment and Natural Resources, Renmin University of China, Beijing, China
| | - Yuexia Sun
- School of Environmental Science and Engineering, Tianjin University, Tianjin, China
| | - Hua Qian
- School of Energy and Environment, Southeast University, Nanjing, China
| | - Wei Liu
- Institute for Health and Environment, Chongqing University of Science and Technology, Chongqing, China
| | - Jinhan Mo
- Department of Building Science, Tsinghua University, Beijing, China
| | - Xiaohong Zheng
- School of Energy and Environment, Southeast University, Nanjing, China
| | - Chen Huang
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Chanjuan Sun
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Zhuohui Zhao
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
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Mainka A, Żak M. Synergistic or Antagonistic Health Effects of Long- and Short-Term Exposure to Ambient NO 2 and PM 2.5: A Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14079. [PMID: 36360958 PMCID: PMC9657687 DOI: 10.3390/ijerph192114079] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 10/24/2022] [Accepted: 10/26/2022] [Indexed: 05/31/2023]
Abstract
Studies on adverse health effects associated with air pollution mostly focus on individual pollutants. However, the air is a complex medium, and thus epidemiological studies face many challenges and limitations in the multipollutant approach. NO2 and PM2.5 have been selected as both originating from combustion processes and are considered to be the main pollutants associated with traffic; moreover, both elicit oxidative stress responses. An answer to the question of whether synergistic or antagonistic health effects of combined pollutants are demonstrated by pollutants monitored in ambient air is not explicit. Among the analyzed studies, only a few revealed statistical significance. Exposure to a single pollutant (PM2.5 or NO2) was mostly associated with a small increase in non-accidental mortality (HR:1.01-1.03). PM2.5 increase of <10 µg/m3 adjusted for NO2 as well as NO2 adjusted for PM2.5 resulted in a slightly lower health risk than a single pollutant. In the case of cardiovascular heart disease, mortality evoked by exposure to PM2.5 or NO2 adjusted for NO2 and PM2.5, respectively, revealed an antagonistic effect on health risk compared to the single pollutant. Both short- and long-term exposure to PM2.5 or NO2 adjusted for NO2 and PM2.5, respectively, revealed a synergistic effect appearing as higher mortality from respiratory diseases.
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Affiliation(s)
- Anna Mainka
- Department of Air Protection, Silesian University of Technology, 22B Konarskiego St., 44-100 Gliwice, Poland
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Estimating the burden of disease attributable to household air pollution from cooking with solid fuels in South Africa for 2000, 2006 and 2012. S Afr Med J 2022; 112:718-728. [DOI: 10.7196/samj.2022.v112i8b.16474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Indexed: 02/22/2023] Open
Abstract
Background. Household air pollution (HAP) due to the use of solid fuels for cooking is a global problem with significant impacts on human health, especially in low- and middle-income countries. HAP remains problematic in South Africa (SA). While electrification rates have improved over the past two decades, many people still use solid fuels for cooking owing to energy poverty.Objectives. To estimate the disease burden attributable to HAP for cooking in SA over three time points: 2000, 2006 and 2012. Methods. Comparative risk assessment methodology was used. The proportion of South Africans exposed to HAP was assessed and assigned the estimated concentration of particulate matter with a diameter <2.5 μg/m3(PM2.5) associated with HAP exposure. Health outcomes and relative risks associated with HAP exposure were identified. Population-attributable fractions and the attributable burden of disease due to HAP exposure (deaths, years of life lost, years lived with disability and disability-adjusted life years (DALYs)) for SA were calculated. Attributable burden was estimated for 2000, 2006 and 2012. For the year 2012, we estimated the attributable burden at provincial level.Results. An estimated 17.6% of the SA population was exposed to HAP in 2012. In 2012, HAP exposure was estimated to have caused 8 862 deaths (95% uncertainty interval (UI) 8 413 - 9 251) and 1.7% (95% UI 1.6% - 1.8%) of all deaths in SA, respectively. Loss of healthy life years comprised 208 816 DALYs (95% UI 195 648 - 221 007) and 1.0% of all DALYs (95% UI 0.95% - 1.0%) in 2012, respectively. Lower respiratory infections and cardiovascular disease contributed to the largest proportion of deaths and DALYs. HAP exposure due to cooking varied across provinces, and was highest in Limpopo (50.0%), Mpumalanga (27.4%) and KwaZulu-Natal (26.4%) provinces in 2012. Age standardised burden measures showed that these three provinces had the highest rates of death and DALY burden attributable to HAP.Conclusion. The burden of disease from HAP due to cooking in SA is of significant concern. Effective interventions supported by legislation and policy, together with awareness campaigns, are needed to ensure access to clean household fuels and improved cook stoves. Continued and enhanced efforts in this regard are required to ensure the burden of disease from HAP is curbed in SA.
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Wu X, Liu X, Liao W, Dong X, Li R, Hou J, Mao Z, Huo W, Guo Y, Li S, Chen G, Wang C. Healthier Lifestyles Attenuated Association of Single or Mixture Exposure to Air Pollutants with Cardiometabolic Risk in Rural Chinese Adults. TOXICS 2022; 10:541. [PMID: 36136506 PMCID: PMC9503940 DOI: 10.3390/toxics10090541] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 09/12/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
There is little research on how long-term exposure to independent and multiple air pollutants changes cardiometabolic risk in adults. In addition, previous studies focused on only the effect of one or two lifestyles on cardiometabolic risk. The evidence on the interactive effects of the lifestyle score and exposure to independent and mixtures of air pollutants on cardiometabolic risk is lacking. A total of 33,638 rural residents were included in the cross-sectional study. The three-year average concentrations of air pollutants for participants were predicted by using a satellite-based prediction. The air pollution score was created to assess the combined exposure of four air pollutants (PM1, PM2.5, PM10, and NO2). A gender−age-specific cardiometabolic risk score was calculated. Multivariable-adjusted linear regression and quantile g-computation were used to investigate the associations between air pollutants and cardiometabolic risk. Interaction plots were applied to describe the interactive effects of air pollution and the healthy lifestyle score on cardiometabolic risk. Per interquartile range (IQR) unit increases in PM1, PM2.5, PM10, or NO2 were associated with 0.162 (95% CI: 0.091, 0.233), 0.473 (95% CI: 0.388, 0.559), 0.718 (95% CI: 0.627, 0.810), and 0.795 (95% CI: 0.691, 0.898) unit increases in cardiometabolic risk score (all p < 0.05), respectively. A 0.854 (95% CI: 0.768, 0.940) unit increase in cardiometabolic risk was associated with each IQR increase in air pollution score. Furthermore, the strengths of associations of PM1, PM2.5, PM10, NO2, and the air pollution score on cardiometabolic risk score were attenuated with the healthy lifestyle score increase. In addition, there was no statistical significance after the lifestyle score equal to four scores for the effect of PM1 on the cardiometabolic risk score. In conclusions, individual or joint air pollutants were associated with an increased cardiometabolic risk. Improving the healthy lifestyle may be an effective method to improve cardiometabolic health in highly polluted rural regions.
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Affiliation(s)
- Xueyan Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Xiaokang Dong
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Yuming Guo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3010, Australia
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3010, Australia
| | - 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, Guangzhou 510080, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
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Ali MR, Bacchu MS, Al-Mamun MR, Hossain MI, Khaleque A, Khatun A, Ridoy DD, Aly MAS, Khan MZH. Recent Advanced in MXene Research toward Biosensor Development. Crit Rev Anal Chem 2022; 54:1381-1398. [PMID: 36068703 DOI: 10.1080/10408347.2022.2115286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
MXene is a rapidly emerging group of two-dimensional (2D) multifunctional nanomaterials, drawing huge attention from researchers of a broad scientific field. Reporting the synthesis of MXene was the following breakthrough in 2D materials following the discovery of graphene. MXene is considered the most recent developments of materials, including transition metal carbonitrides, nitrides, and carbides synthesized by etching or mechanical-based exfoliation of selective MAX phases. MXene has a plethora of prodigious properties such as unique interlayer spacing, high ion and electron transport, large surface area, excellent thermal and electrical conductivity, exceptional volumetric capacitance, thermal shock, and oxidation resistance, easily machinable and inherently hydrophilic, and biocompatibility. Owing to the abundance of tailorable surface function groups, these properties can be further enhanced by surface functionalization with covalent and non-covalent modifications via numerous surface functionalization methods. Therefore, MXene finds their way to a plethora of applications in numerous fields including catalysis, membrane separation, energy storage, sensing, and biomedicine. Here, the focus is on reviewing the structure, synthesis techniques, and functionalization methods of MXene. Furthermore, MXene-based detection platforms in different sensing applications are survived. Great attention is given to reviewing the applications of MXene in the detection of biomolecules, pathogenic bacteria and viruses, cancer biomarkers food contaminants and mycotoxins, and hazardous pollutants. Lastly, the future perspective of MXene-based biosensors as a next-generation diagnostics tool is discussed. Crucial visions are introduced for materials science and sensing communities to better route while investigating the potential of MXene for creating innovative detection mechanisms.
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Affiliation(s)
- Md Romzan Ali
- Department of Chemical Engineering, Jashore University of Science and Technology, Jashore, Bangladesh
- Laboratory of Nano-bio and Advanced Materials Engineering (NAME), Jashore University of Science and technology, Jashore, Bangladesh
| | - Md Sadek Bacchu
- Department of Chemical Engineering, Jashore University of Science and Technology, Jashore, Bangladesh
- Laboratory of Nano-bio and Advanced Materials Engineering (NAME), Jashore University of Science and technology, Jashore, Bangladesh
| | - Md Rashid Al-Mamun
- Department of Chemical Engineering, Jashore University of Science and Technology, Jashore, Bangladesh
- Laboratory of Nano-bio and Advanced Materials Engineering (NAME), Jashore University of Science and technology, Jashore, Bangladesh
| | - Md Ikram Hossain
- Department of Chemical Engineering, Jashore University of Science and Technology, Jashore, Bangladesh
- Laboratory of Nano-bio and Advanced Materials Engineering (NAME), Jashore University of Science and technology, Jashore, Bangladesh
| | - Abdul Khaleque
- Department of Chemical Engineering, Jashore University of Science and Technology, Jashore, Bangladesh
- Laboratory of Nano-bio and Advanced Materials Engineering (NAME), Jashore University of Science and technology, Jashore, Bangladesh
| | - Anowara Khatun
- Department of Chemical Engineering, Jashore University of Science and Technology, Jashore, Bangladesh
- Laboratory of Nano-bio and Advanced Materials Engineering (NAME), Jashore University of Science and technology, Jashore, Bangladesh
| | - Dipto Debnath Ridoy
- Department of Chemical Engineering, Jashore University of Science and Technology, Jashore, Bangladesh
- Laboratory of Nano-bio and Advanced Materials Engineering (NAME), Jashore University of Science and technology, Jashore, Bangladesh
| | - Mohamed Aly Saad Aly
- Department of New Biology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea
| | - Md Zaved Hossain Khan
- Department of Chemical Engineering, Jashore University of Science and Technology, Jashore, Bangladesh
- Laboratory of Nano-bio and Advanced Materials Engineering (NAME), Jashore University of Science and technology, Jashore, Bangladesh
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Chen M, Qin Q, Liu F, Wang Y, Wu C, Yan Y, Xiang H. How long-term air pollution and its metal constituents affect type 2 diabetes mellitus prevalence? Results from Wuhan Chronic Disease Cohort. ENVIRONMENTAL RESEARCH 2022; 212:113158. [PMID: 35351454 PMCID: PMC9227727 DOI: 10.1016/j.envres.2022.113158] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 02/20/2022] [Accepted: 03/18/2022] [Indexed: 05/07/2023]
Abstract
BACKGROUND Epidemiological evidence linking type 2 diabetes mellitus (T2DM) with air pollution is discrepant and most are restricted to the influences of air-pollutant mass concentration. This study aims to explore the effects of long-term exposure to air pollution and its metal constituents on T2DM prevalence in China. METHODS We used data on 10,253 adult residents from the baseline survey of Wuhan Chronic Disease Cohort in 2019. Ambient PM2.5, PM10 and NO2 exposure were estimated at residences based on Chinese Air Quality Reanalysis Dataset. Concentrations of 10 metal constituents were measured by 976 PM2.5 filter samples collected from four monitoring stations. Logistic regression models were employed to examine associations of T2DM prevalence with 3-year mean concentrations of each air pollutant and PM2.5 metal constituents prior to the baseline investigation. RESULTS A total of 673 T2DM cases (6.6%) were identified. The 3-year mean exposures to PM2.5, PM10 and NO2 were 50.89 μg/m3, 82.86 μg/m3, and 39.79 μg/m3, respectively. And interquartile range (IQR) of 10 metals in PM2.5 varied from 0.03 ng/m3 to 78.30 ng/m3. For 1 μg/m3 increment in PM2.5, PM10 and NO2, the odds of T2DM increased by 7.2% (95%CI: 1.026, 1.136), 3.1% (95%CI: 1.013, 1.050), and 2.1% (95%CI: 1.005, 1.038) after adjusting for potential confounders. Cd and Sb in PM2.5 were significant risk factors to T2DM with odds ratios of 1.350 (95%CI: 1.089, 1.673) and 1.389 (95%CI: 1.164, 1.658) for per IQR increase, respectively. Stratification analyses indicated that males and those aged ≥45 years were more susceptive to long-term air pollution. CONCLUSIONS Long-term exposure to PM2.5, PM10 and NO2 increased T2DM prevalence in a Wuhan population, especially for men and middle-aged and elderly people. Moreover, T2DM was significantly associated with Cd and Sb in PM2.5. Further research to validate these results and to clarify the underlying mechanisms is warranted.
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Affiliation(s)
- Meijin Chen
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Qiujun Qin
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, 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, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Yixuan Wang
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Chuangxin Wu
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Yaqiong Yan
- Wuhan Centers 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, Wuhan University, 115# Donghu Road, Wuhan, 430071, China.
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How Does Government Efficiency Affect Health Outcomes? The Empirical Evidence from 156 Countries. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159436. [PMID: 35954795 PMCID: PMC9368218 DOI: 10.3390/ijerph19159436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/13/2022] [Accepted: 07/29/2022] [Indexed: 12/10/2022]
Abstract
This paper uses the unbalanced panel data of 156 countries during the period of 2002 to 2018 to explore the possible impact of government efficiency on health outcomes. Firstly, we used the fixed-effect model to examine the relationship between government efficiency and health outcomes and found that the increase in government efficiency can significantly improve health outcomes. Then, a series of robustness checks were carried out, which confirmed the reliability of the above result. Thirdly, this paper conducted a heterogeneity analysis from the perspective of life cycle. Fourthly, this paper investigated the mechanisms of the impact of government efficiency on health outcomes from the perspectives of economic growth, health innovation, education and corruption control. Finally, this paper studied the moderating effects of the ruling party’s ideology and democracy on the relationship between government efficiency and health outcomes. The findings of this study provide some references for governments to improve health outcomes.
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Hu X, Han W, Wang Y, Aunan K, Pan X, Huang J, Li G. Does air pollution modify temperature-related mortality? A systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2022; 210:112898. [PMID: 35181304 DOI: 10.1016/j.envres.2022.112898] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 02/01/2022] [Accepted: 02/03/2022] [Indexed: 06/14/2023]
Abstract
INTRODUCTION There is an increasing interest in understanding whether air pollutants modify the quantitative relationships between temperature and health outcomes. The results of available studies were, however, inconsistent. This study aims to sum up the current evidence and provide a comprehensive understanding of this topic. METHODS We conducted an electronic search in PubMed (MEDLINE), EMBASE, Web of Science Core Collection, and ProQuest Dissertations and Theses. The modified Navigation Guide was applied to evaluate the quality and strength of evidence. We calculated pooled temperature-related mortality at low and high pollutant levels respectively, using the random-effects model. RESULTS We identified 22 eligible studies, eleven of which were included in the meta-analysis. Significant effect modification was observed on heat effects for all-cause and non-accidental mortality by particulate matter with an aerodynamic diameter of <10 μm (PM10) and ozone (O3) (p < 0.05). The excess risks (ERs) for all-cause and non-accidental mortality were 5.4% (4.4%, 6.4%) and 6.3% (4.8%, 7.8%) at the low PM10 level, 8.8% (7.5%, 10.1%) and 11.4% (8.7%, 14.2%) at the high PM10 level, respectively. As for O3, the ERs for all-cause and non-accidental mortality were 5.1% (3.9%, 6.3%) and 3.6% (0.1%, 7.2%) at the low O3 level, 7.6% (6.3%, 9.0%) and 12.5% (4.7%, 20.9%) at the high O3 level, respectively. Surprisingly, the heat effects on cardiovascular mortality were found to be lower at high carbon monoxide (CO) levels [ERs = 5.4% (3.9%, 6.9%)] than that at low levels [ERs = 9.4% (7.0%, 11.9%)]. The heterogeneity varied, but the results of sensitivity analyses were generally robust. Significant effect modification by air pollutants was not observed for heatwave or cold effects. CONCLUSIONS PM10 and O3 modify the heat-related all-cause and non-accidental mortality, indicating that policymakers should consider air pollutants when establishing heat-health warning systems. Future studies with comparable designs and settings are needed.
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Affiliation(s)
- Xin Hu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Wenxing Han
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Yuxin Wang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Kristin Aunan
- CICERO Center for International Climate Research, N-0318, Oslo, Norway
| | - Xiaochuan Pan
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, China.
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Abdul Jabbar S, Tul Qadar L, Ghafoor S, Rasheed L, Sarfraz Z, Sarfraz A, Sarfraz M, Felix M, Cherrez-Ojeda I. Air Quality, Pollution and Sustainability Trends in South Asia: A Population-Based Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:7534. [PMID: 35742785 PMCID: PMC9224398 DOI: 10.3390/ijerph19127534] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 06/05/2022] [Accepted: 06/15/2022] [Indexed: 12/22/2022]
Abstract
INTRODUCTION Worsening air quality and pollution lead to numerous environmental health and sustainability issues in the South Asia region. This study analyzes India, Nepal, Bangladesh, Pakistan, Sri Lanka, and Nepal for air quality data trends and sustainability indicators. METHODOLOGY By using a population-based study design, six South Asian countries were analyzed using a step-wise approach. Data were obtained from government websites and publicly available repositories for region dynamics and key variables. RESULTS Between 1990 and 2020, air quality data indicated the highest rise in CO2 emissions in India (578.5 to 2441.8 million tons) (MT), Bangladesh, Nepal, and Pakistan. Greenhouse gas emissions, from 1990 to 2018, nearly tripled in India (1990.4 to 3346.6 MT of CO2-equivalents), Nepal (20.6 to 54.6 MT of CO2-equivalents), and Pakistan, and doubled in Bangladesh. Methane emissions rose the highest in Pakistan (70.4 to 151 MT of CO2-equivalents), followed by Nepal (17 to 31 MT of CO2-equivalents) and India (524.8 to 669.3 MT of CO2-equivalents). Nitrous oxide nearly doubled in Bangladesh (16.5 to 29.3 MT of CO2-equivalents), India (141.6 to 256.9 MT of CO2-equivalents), Nepal (17 to 31 MT of CO2-equivalents), and more than doubled in Pakistan (27 to 61 MT of CO2-equivalents). On noting particulate matter 2,5 annual exposure, India saw the highest rise from 81.3 µg/m3 (in 1990) to 90.9 µg/m3 (2017), whereas trends were steady in Pakistan (60.34 to 58.3 µg/m3). The highest rise was noted in Nepal (87.6 to 99.7 µg/m3) until 2017. During the coronavirus disease 19 pandemic, the pre-and post-pandemic changes between 2018 and 2021 indicated the highest PM2.5 concentration in Bangladesh (76.9 µg/m3), followed by Pakistan (66.8 µg/m3), India (58.1 µg/m3), Nepal (46 µg/m3) and Sri Lanka (17.4 µg/m3). Overall, South Asian countries contribute to the worst air quality and sustainability trends regions worldwide. CONCLUSIONS Air pollution is prevalent across a majority of South Asia countries. Owing to unsustainable industrial practices, pollution trends have risen to hazardous levels. Economic, environmental, and human health impacts have manifested and require urgent, concerted efforts by governing bodies in the region.
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Affiliation(s)
- Saima Abdul Jabbar
- Research, Nishtar Medical University, Multan 60000, Pakistan; (S.A.J.); (S.G.)
| | - Laila Tul Qadar
- Research, Quaid-e-Azam Medical College, Bahawalpur 06318, Pakistan;
| | - Sulaman Ghafoor
- Research, Nishtar Medical University, Multan 60000, Pakistan; (S.A.J.); (S.G.)
| | - Lubna Rasheed
- Research, University Medical and Dental College Faisalabad, Faisalabad 38800, Pakistan;
| | - Zouina Sarfraz
- Research and Publications, Fatima Jinnah Medical University, Queen’s Road, Lahore 54000, Pakistan
| | - Azza Sarfraz
- Pediatrics and Child Health, The Aga Khan University, Karachi 74800, Pakistan;
| | - Muzna Sarfraz
- Research, King Edward Medical University, Lahore 54000, Pakistan;
| | - Miguel Felix
- Allergy and Pulmonology, Universidad Espíritu Santo, Samborondón 0901-952, Ecuador;
- Respiralab Research Center, Guayaquil 0901-952, Ecuador
| | - Ivan Cherrez-Ojeda
- Allergy and Pulmonology, Universidad Espíritu Santo, Samborondón 0901-952, Ecuador;
- Respiralab Research Center, Guayaquil 0901-952, Ecuador
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Krasic J, Fucic A, Sincic N, Sindicic Dessardo N, Starcevic M, Guszak V, Ceppi M, Bruzzone M, Kralik S. Comparison of Estradiol, Testostosterone, and CYP19 Methylation Levels between Full-Term and Preterm Newborns. Horm Res Paediatr 2022; 94:168-175. [PMID: 34348285 DOI: 10.1159/000518112] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 06/24/2021] [Indexed: 11/19/2022] Open
Abstract
Estradiol (E), testosterone (T), and their ratio are crucial axis in life. Especially during intrauterine growth, they orchestrate the complex development of organs and their interaction, which have lifelong impact on health and an organism's capacity to respond to environmental stressors. The aim of this study was to compare for the first time E, T, and their ratio levels with aromatase (CYP19) gene methylation levels between preterm newborns (PN) and full-term newborns (FN) with respect to their mother's environmental exposure and diet. In this study, 56 FN of 37-42 weeks of gestation age (GA) and 46 PN at GA 27-36 weeks were analysed for E and T levels and CYP19A1 gene pI.3/II promoter region methylation. Results showed there was no difference in E levels between PN and FN, but there were significantly lower levels of T in PN than in FN (2.81 nmol vs. 3.76 nmol, respectively) and consequently a significantly higher E/T ratio in PN than in FN (5278.04 vs. 2891.23, respectively). CYP19A1 methylation was significantly lower in PN than in FN (86.04% vs. 90.04%, respectively). CYP19A1 methylation was significantly reduced in newborns whose mothers reported daily milk consumption. Our study is the first to provide referent values for CYP19A1 methylation levels in FN and PN and shows that PN and FN significantly differ in CYP19A1 methylation levels, T levels, and E/T ratio. Future research should further investigate the mechanisms involved in GA-dependent CYP19A1 methylation levels and mechanisms of sex hormone disturbances which may contribute to preterm birth.
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Affiliation(s)
- Jure Krasic
- Medical School, University of Zagreb, Zagreb, Croatia.,Scientific Center of Excellence for Reproductive and Regenerative Medicine (CERRM), Zagreb, Croatia
| | - Aleksandra Fucic
- Scientific Center of Excellence for Reproductive and Regenerative Medicine (CERRM), Zagreb, Croatia.,Institute for Medical Research and Occupational Health, Zagreb, Croatia
| | - Nino Sincic
- Medical School, University of Zagreb, Zagreb, Croatia.,Scientific Center of Excellence for Reproductive and Regenerative Medicine (CERRM), Zagreb, Croatia
| | - Nada Sindicic Dessardo
- Scientific Center of Excellence for Reproductive and Regenerative Medicine (CERRM), Zagreb, Croatia.,University Hospital Center Zagreb, Zagreb, Croatia
| | - Mirta Starcevic
- Scientific Center of Excellence for Reproductive and Regenerative Medicine (CERRM), Zagreb, Croatia.,University Hospital Center Zagreb, Zagreb, Croatia
| | - Vedrana Guszak
- Scientific Center of Excellence for Reproductive and Regenerative Medicine (CERRM), Zagreb, Croatia.,University Hospital Center Zagreb, Zagreb, Croatia
| | - Marcello Ceppi
- Clinical Epidemiology Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Marco Bruzzone
- Clinical Epidemiology Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Sasa Kralik
- University Hospital Center Zagreb, Zagreb, Croatia
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Zaldo-Aubanell Q, Serra I, Bach A, Knobel P, I López FC, Belmonte J, Daunis-I-Estadella P, Maneja R. Environmental heterogeneity in human health studies. A compositional methodology for Land Use and Land cover data. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 806:150308. [PMID: 34844306 DOI: 10.1016/j.scitotenv.2021.150308] [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: 06/02/2021] [Revised: 09/08/2021] [Accepted: 09/08/2021] [Indexed: 06/13/2023]
Abstract
The use of Land use and Land cover (LULC) data is gradually becoming more widely spread in studies relating the environment to human health. However, little research has acknowledged the compositional nature of these data. The goal of the present study is to explore, for the first time, the independent effect of eight LULC categories (agricultural land, bare land, coniferous forest, broad-leaved forest, sclerophyll forest, grassland and shrubs, urban areas, and waterbodies) on three selected common health conditions: type 2 diabetes mellitus (T2DM), asthma and anxiety, using a compositional methodological approach and leveraging observational health data of Catalonia (Spain) at area level. We fixed the risk exposure scenario using three covariates (socioeconomic status, age group, and sex). Then, we assessed the independent effect of the eight LULC categories on each health condition. Our results show that each LULC category has a distinctive effect on the three health conditions and that the three covariates clearly modify this effect. This compositional approach has yielded plausible results supported by the existing literature, highlighting the relevance of environmental heterogeneity in health studies. In this sense, we argue that different types of environment possess exclusive biotic and abiotic elements affecting distinctively on human health. We believe our contribution might help researchers approach the environment in a more multidimensional manner integrating environmental heterogeneity in the analysis.
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Affiliation(s)
- Quim Zaldo-Aubanell
- Institute of Environmental Science and Technology (ICTA), Autonomous University of Barcelona (UAB), Z building, ICTA-ICP, Carrer de les columnes, UAB Campus, 08193, Bellaterra, Barcelona, Spain; Environment and Human Health Laboratory (EH(2) Lab), Forest Science and Technology Center of Catalonia, Ctra. de St. Llorenç de Morunys, km 2, 25280 Solsona, Spain.
| | - Isabel Serra
- Centre de Recerca Matemàtica, Edifici C, 08193 Bellaterra, Barcelona, Spain; Barcelona Supercomputing Center, 08034 Barcelona, Spain
| | - Albert Bach
- Environment and Human Health Laboratory (EH(2) Lab), Forest Science and Technology Center of Catalonia, Ctra. de St. Llorenç de Morunys, km 2, 25280 Solsona, Spain; Forest Science and Technology Center of Catalonia, Ctra. de St. Llorenç de Morunys, km 2, 25280 Solsona, Spain
| | - Pablo Knobel
- Environment and Human Health Laboratory (EH(2) Lab), Forest Science and Technology Center of Catalonia, Ctra. de St. Llorenç de Morunys, km 2, 25280 Solsona, Spain
| | - Ferran Campillo I López
- Environment and Human Health Laboratory (EH(2) Lab), Forest Science and Technology Center of Catalonia, Ctra. de St. Llorenç de Morunys, km 2, 25280 Solsona, Spain; Paediatric Environmental Health Specialty Unit, Paediatric Team of the Garrotxa Region, Olot and Garrotxa Region Hospital Foundation, Avinguda Països Catalans 86, 17800 Olot, Catalonia, Spain
| | - Jordina Belmonte
- Institute of Environmental Science and Technology (ICTA), Autonomous University of Barcelona (UAB), Z building, ICTA-ICP, Carrer de les columnes, UAB Campus, 08193, Bellaterra, Barcelona, Spain; Department of Animal Biology, Plant Biology and Ecology, Autonomous University of Barcelona (UAB), C building, UAB Campus 08193, Bellaterra, Barcelona, Spain
| | - Pepus Daunis-I-Estadella
- Department of Computer Science, Applied Mathematics and Statistics, Universitat de Girona, Carrer Universitat de Girona, 6, 17003 Girona, Spain
| | - Roser Maneja
- Environment and Human Health Laboratory (EH(2) Lab), Forest Science and Technology Center of Catalonia, Ctra. de St. Llorenç de Morunys, km 2, 25280 Solsona, Spain; Forest Science and Technology Center of Catalonia, Ctra. de St. Llorenç de Morunys, km 2, 25280 Solsona, Spain; Geography Department, Autonomous University of Barcelona (UAB), B building, UAB Campus 08193, Bellaterra, Barcelona, Spain
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Probst-Hensch N, Bochud M, Chiolero A, Crivelli L, Dratva J, Flahault A, Frey D, Kuenzli N, Puhan M, Suggs LS, Wirth C. Swiss Cohort & Biobank - The White Paper. Public Health Rev 2022; 43:1605660. [PMID: 36619237 PMCID: PMC9817110 DOI: 10.3389/phrs.2022.1605660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 12/05/2022] [Indexed: 12/24/2022] Open
Affiliation(s)
- Nicole Probst-Hensch
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute (Swiss TPH), Allschwil, Switzerland
- University of Basel, Basel, Switzerland
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Swiss Society for Public Health, Bern, Switzerland
- *Correspondence: Nicole Probst-Hensch,
| | - Murielle Bochud
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Swiss Society for Public Health, Bern, Switzerland
- Department of Epidemiology and Health Systems (DESS), University Center for General Medicine and Public Health (Unisanté), Lausanne, Switzerland
| | - Arnaud Chiolero
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Swiss Society for Public Health, Bern, Switzerland
- Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Luca Crivelli
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Swiss Society for Public Health, Bern, Switzerland
- Department of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, Manno, Switzerland
- Institute of Public Health Università della Svizzera Italiana, Lugano, Switzerland
| | - Julia Dratva
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Swiss Society for Public Health, Bern, Switzerland
- Institute of Public Health, Department of Health Sciences, ZHAW Zürich University of Applied Sciences, Winterthur, Switzerland
| | - Antoine Flahault
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Swiss Society for Public Health, Bern, Switzerland
- Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Daniel Frey
- Swiss Society for Public Health, Bern, Switzerland
| | - Nino Kuenzli
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute (Swiss TPH), Allschwil, Switzerland
- University of Basel, Basel, Switzerland
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Swiss Society for Public Health, Bern, Switzerland
| | - Milo Puhan
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
| | - L. Suzanne Suggs
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Swiss Society for Public Health, Bern, Switzerland
- Institute of Public Health Università della Svizzera Italiana, Lugano, Switzerland
| | - Corina Wirth
- Swiss Society for Public Health, Bern, Switzerland
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Rose TC, Daras K, Cloke J, Rodgers S, Farrell P, Ahmed S, Barr B. Impact of local air quality management policies on emergency hospitalisations for respiratory conditions in the North West Coast region of England: a longitudinal controlled ecological study. Int J Equity Health 2021; 20:254. [PMID: 34903229 PMCID: PMC8670133 DOI: 10.1186/s12939-021-01598-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 11/24/2021] [Indexed: 11/17/2022] Open
Abstract
Background Air quality is monitored at a local level in the UK as part of the Local Air Quality Management (LAQM) system. If air quality objectives within an area are not achieved an Air Quality Management Area (AQMA) is declared and action plan developed. The efficacy of this system in reducing air pollution has increasingly come into question, however very little is known about its impact on health or health inequalities. We therefore investigated the effect of declaring an AQMA on emergency hospitalisations for respiratory conditions in the North West Coast region of England, and examined whether the effect differed between more compared to less deprived neighbourhoods. Methods This longitudinal controlled ecological study analysed neighbourhoods located within or touching the boundaries of AQMAs declared in the North West Coast region between 2006 and 2016. Each of these intervention neighbourhoods were matched with five control neighbourhoods which had never been located within/touching an AQMA boundary. Difference-in-differences methods were used to compare the change in hospitalisation rates in the intervention neighbourhoods to the change in hospitalisation rates in the matched control neighbourhoods, before and after the declaration of an AQMA. Results In total, 108 intervention neighbourhoods and 540 control neighbourhoods were analysed over the period 2005–2017, giving a total sample size of 8424 neighbourhood-years. Emergency hospitalisations for respiratory conditions decreased in the intervention neighbourhoods by 158 per 100,000 per year [95% CI 90 to 227] after an AQMA was declared relative to the control neighbourhoods. There was a larger decrease in hospitalisation rates following the declaration of an AQMA in more compared to less income deprived neighbourhoods. Conclusions Our results suggest the LAQM system has contributed to a reduction in emergency hospitalisations for respiratory conditions, and may represent an effective strategy to reduce inequalities in health. These findings highlight the importance of measuring the success of air quality policies not just in terms of air pollution but also in terms of population health. Supplementary Information The online version contains supplementary material available at 10.1186/s12939-021-01598-w.
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Affiliation(s)
- Tanith C Rose
- Institute of Population Health Sciences, University of Liverpool, L69 3GL, Liverpool, UK.
| | - Konstantinos Daras
- Institute of Population Health Sciences, University of Liverpool, L69 3GL, Liverpool, UK
| | - Jane Cloke
- Institute of Population Health Sciences, University of Liverpool, L69 3GL, Liverpool, UK
| | - Sarah Rodgers
- Institute of Population Health Sciences, University of Liverpool, L69 3GL, Liverpool, UK
| | - Paul Farrell
- Environmental Protection & Public Protection Enforcement, Liverpool City Council, Liverpool, UK
| | - Saiqa Ahmed
- Public Advisor NIHR Applied Research Collaboration North West Coast, Liverpool, UK
| | - Benjamin Barr
- Institute of Population Health Sciences, University of Liverpool, L69 3GL, Liverpool, UK
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Preventing Multimorbidity with Lifestyle Interventions in Sub-Saharan Africa: A New Challenge for Public Health in Low and Middle-Income Countries. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182312449. [PMID: 34886172 PMCID: PMC8656800 DOI: 10.3390/ijerph182312449] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/14/2021] [Accepted: 11/15/2021] [Indexed: 12/21/2022]
Abstract
Objectives: Low and Middle-Income Countries are experiencing a fast-paced epidemiological rise in clusters of non-communicable diseases such as diabetes and cardiovascular disease, forming an imminent rise in multimorbidity. However, preventing multimorbidity has received little attention in LMICs, especially in Sub-Saharan African Countries. Methods: Narrative review which scoped the most recent evidence in LMICs about multimorbidity determinants and appropriated them for potential multimorbidity prevention strategies. Results: MMD in LMICs is affected by several determinants including increased age, female sex, environment, lower socio-economic status, obesity, and lifestyle behaviours, especially poor nutrition, and physical inactivity. Multimorbidity public health interventions in LMICs, especially in Sub-Saharan Africa are currently impeded by local and regional economic disparity, underdeveloped healthcare systems, and concurrent prevalence of communicable and non-communicable diseases. However, lifestyle interventions that are targeted towards preventing highly prevalent multimorbidity clusters, especially hypertension, diabetes, and cardiovascular disease, can provide early prevention of multimorbidity, especially within Sub-Saharan African countries with emerging economies and socio-economic disparity. Conclusion: Future public health initiatives should consider targeted lifestyle interventions and appropriate policies and guidelines in preventing multimorbidity in LMICs.
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Short-Term Cumulative Exposure to Ambient Traffic-Related Black Carbon and Blood Pressure: MMDA Traffic Enforcers' Health Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182212122. [PMID: 34831878 PMCID: PMC8619089 DOI: 10.3390/ijerph182212122] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 10/22/2021] [Accepted: 10/25/2021] [Indexed: 12/19/2022]
Abstract
Exposure to traffic-related air pollution is linked with acute alterations in blood pressure (BP). We examined the cumulative short-term effect of black carbon (BC) exposure on systolic (SBP) and diastolic (DBP) BP and assessed effect modification by participant characteristics. SBP and DBP were repeatedly measured on 152 traffic enforcers. Using a linear mixed-effects model with random intercepts, quadratic (QCDL) and cubic (CCDL) constrained distributed lag models were fitted to estimate the cumulative effect of BC concentration on SBP and DBP during the 10 hours (daily exposure) and 7 days (weekly exposure) before the BP measurement. Ambient BC was related to increased BP with QCDL models. An interquartile range change in BC cumulative during the 7 days before the BP measurement was associated with increased BP (1.2% change in mean SBP, 95% confidence interval (CI), 0.1 to 2.3; and 0.5% change in mean DBP, 95% CI, −0.8 to 1.7). Moreover, the association between the 10-h cumulative BC exposure and SBP was stronger for female (4.0% change, 95% CI: 2.1–5.9) versus male and for obese (2.9% change, 95% CI: 1.0–4.8) vs. non-obese traffic enforcers. Short-term cumulative exposure to ambient traffic-related BC could bring about cardiovascular diseases through mechanisms involving increased BP.
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Wu C, Yan Y, Chen X, Gong J, Guo Y, Zhao Y, Yang N, Dai J, Zhang F, Xiang H. Short-term exposure to ambient air pollution and type 2 diabetes mortality: A population-based time series study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 289:117886. [PMID: 34371265 DOI: 10.1016/j.envpol.2021.117886] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 07/27/2021] [Accepted: 07/30/2021] [Indexed: 06/13/2023]
Abstract
Acute health effects of air pollution on diabetes risk have not been fully studied in developing countries and the results remain inconsistent. This study aimed to investigate the association between short-term exposure to ambient air pollution and Type 2 diabetes mellitus (T2DM) mortality in China. Data on T2DM mortality from 2013 to 2019 were obtained from the Cause of Death Reporting System (CDRS) of Wuhan Center for Disease Control and Prevention. Air pollution data for the same period were collected from 10 national air quality monitoring stations of Wuhan Ecology and Environment Institute, including daily average PM2.5, PM10, SO2, and NO2. Meteorological data including daily average temperature and relative humidity were collected from Wuhan Meteorological Bureau. Generalized additive models (GAM) based on quasi-Poisson distribution were applied to evaluate the association between short-term exposure to air pollution and daily T2DM deaths. A total of 9837 T2DM deaths were recorded during the study period in Wuhan. We found that short-term exposure to PM2.5, PM10, SO2, and NO2 were positively associated with T2DM mortality, and gaseous pollutants appeared to have greater effects than particulate matter (PM). For the largest effect, per 10 μg/m3 increment in PM2.5 (lag 02), PM10 (lag 02), SO2 (lag 03), and NO2 (lag 02) were significantly associated with 1.099% (95% CI: 0.451, 1.747), 1.016% (95% CI: 0.517, 1.514), 3.835% (95% CI: 1.480, 6.189), and 1.587% (95% CI: 0.646, 2.528) increase of daily T2DM deaths, respectively. Stratified analysis showed that females or elderly population aged 65 and above were more susceptible to air pollution exposure. In conclusion, short-term exposure to air pollution was significantly associated with a higher risk of T2DM mortality. Further research is required to verify our findings and elucidate the underlying mechanisms.
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Affiliation(s)
- Chuangxin Wu
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China
| | - Yaqiong Yan
- Wuhan Centers for Disease Control and Prevention, 288# Machang Road, Wuhan, China
| | - Xi Chen
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China; Wuhan Centers for Disease Control and Prevention, 288# Machang Road, Wuhan, China
| | - Jie Gong
- Wuhan Centers for Disease Control and Prevention, 288# Machang Road, Wuhan, China
| | - Yan Guo
- Wuhan Centers for Disease Control and Prevention, 288# Machang Road, Wuhan, China
| | - Yuanyuan Zhao
- Wuhan Centers for Disease Control and Prevention, 288# Machang Road, Wuhan, China
| | - Niannian Yang
- Wuhan Centers for Disease Control and Prevention, 288# Machang Road, Wuhan, China
| | - Juan Dai
- Wuhan Centers for Disease Control and Prevention, 288# Machang Road, Wuhan, China
| | - Faxue Zhang
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China
| | - Hao Xiang
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China.
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Xie JY, Suh DH, Joo SK. A Dynamic Analysis of Air Pollution: Implications of Economic Growth and Renewable Energy Consumption. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18189906. [PMID: 34574828 PMCID: PMC8469930 DOI: 10.3390/ijerph18189906] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/06/2021] [Accepted: 09/15/2021] [Indexed: 11/16/2022]
Abstract
This paper examines how economic growth and renewable energy consumption are associated with air pollution using a dynamic panel approach. Focusing on several major air pollutants, namely, particulate matter, sulfur dioxide, nitrogen oxide, and carbon monoxide, this paper tests the environmental Kuznets hypothesis and determines whether the use of renewable energy sources contributes to a reduction in air pollution. Data from a balanced panel of 145 countries for the period between 2000 and 2014 was used for the estimation of the dynamic panel model. The results of the dynamic panel model showed inverted U-shaped curves for the relationship between economic development and particulate matter and sulfur dioxide emissions. The results also revealed that increasing renewable energy consumption contributes to an improvement in air quality. Moreover, it was found that urbanization tends to decrease sulfur dioxide and nitrogen oxide emissions, while trade openness reduces particulate matter and carbon monoxide emissions but increases sulfur dioxide emissions.
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Affiliation(s)
- Jia Yu Xie
- Department of Food and Resource Economics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea;
| | - Dong Hee Suh
- Department of Food and Resource Economics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea;
- Correspondence:
| | - Sung-Kwan Joo
- School of Electrical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea;
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Vallianou NG, Geladari EV, Kounatidis D, Geladari CV, Stratigou T, Dourakis SP, Andreadis EA, Dalamaga M. Diabetes mellitus in the era of climate change. DIABETES & METABOLISM 2021; 47:101205. [DOI: 10.1016/j.diabet.2020.10.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 10/07/2020] [Accepted: 10/12/2020] [Indexed: 12/29/2022]
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Marazziti D, Cianconi P, Mucci F, Foresi L, Chiarantini I, Della Vecchia A. Climate change, environment pollution, COVID-19 pandemic and mental health. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 773:145182. [PMID: 33940721 PMCID: PMC7825818 DOI: 10.1016/j.scitotenv.2021.145182] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 01/10/2021] [Accepted: 01/11/2021] [Indexed: 05/06/2023]
Abstract
Converging data would indicate the existence of possible relationships between climate change, environmental pollution and epidemics/pandemics, such as the current one due to SARS-CoV-2 virus. Each of these phenomena has been supposed to provoke detrimental effects on mental health. Therefore, the purpose of this paper was to review the available scientific literature on these variables in order to suggest and comment on their eventual synergistic effects on mental health. The available literature report that climate change, air pollution and COVID-19 pandemic might influence mental health, with disturbances ranging from mild negative emotional responses to full-blown psychiatric conditions, specifically, anxiety and depression, stress/trauma-related disorders, and substance abuse. The most vulnerable groups include elderly, children, women, people with pre-existing health problems especially mental illnesses, subjects taking some types of medication including psychotropic drugs, individuals with low socio-economic status, and immigrants. It is evident that COVID-19 pandemic uncovers all the fragility and weakness of our ecosystem, and inability to protect ourselves from pollutants. Again, it underlines our faults and neglect towards disasters deriving from climate change or pollution, or the consequences of human activities irrespective of natural habitats and constantly increasing the probability of spillover of viruses from animals to humans. In conclusion, the psychological/psychiatric consequences of COVID-19 pandemic, that currently seem unavoidable, represent a sharp cue of our misconception and indifference towards the links between our behaviour and their influence on the "health" of our planet and of ourselves. It is time to move towards a deeper understanding of these relationships, not only for our survival, but for the maintenance of that balance among man, animals and environment at the basis of life in earth, otherwise there will be no future.
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Affiliation(s)
- Donatella Marazziti
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, Italy; UniCamillus - Saint Camillus University of Health Sciences, Rome, Italy
| | - Paolo Cianconi
- Institute of Psychiatry, Department of Neurosciences, Catholic University, Rome, Italy
| | - Federico Mucci
- Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Italy; Department of Psychiatry, North-Western Tuscany Region, NHS Local Health Unit, Italy
| | - Lara Foresi
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, Italy
| | - Ilaria Chiarantini
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, Italy
| | - Alessandra Della Vecchia
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, Italy.
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Abstract
The topic of sustainable mobility is now a priority at the urban level. Today’s cities are often very busy, polluted, and dangerous. Therefore, to encourage sustainable mobility is important; it brings territorial development, environment, health, society, and economy benefits. The corona virus disease-19 (COVID) emergency, which occurred at the beginning of 2020, highlighted the already critical situation in many cities and how our mobility habits were not, even before, so sustainable. Within sustainable mobility, the concept of safety and security is important to consider. In the literature, safe mobility is often associated with the theme of accidents. The pandemic has highlighted the need to consider safety also from a health point of view. Municipalities, as known, also according to European guidelines, have a specific tool at their disposal to promote sustainable mobility: the Sustainable Urban Mobility Plan (SUMP). This paper intends to propose a methodological approach aimed at integrating the health security aspect in the SUMP. In this research, in order to promote safe mobility, different aspects were considered: accidents, risk perception, and health emergencies. For each aspect, specific indicators and good practices were proposed for the achievement and monitoring of the expected results. The paper refers to the European context with particular attention to Italy; La Spezia was chosen as a case study.
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Traffic-related Noise Exposure and Late-life Dementia and Cognitive Impairment in Mexican-Americans. Epidemiology 2021; 31:771-778. [PMID: 33555809 DOI: 10.1097/ede.0000000000001249] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Recently, it has been suggested that environmental exposures from traffic sources including noise may play a role in cognitive impairment in the elderly. The objective of the study was to investigate the association between local traffic-related noise pollution and incident dementia or cognitive impairment without dementia (CIND) during a 10-year follow-up period. METHODS 1612 Mexican-American participants from the Sacramento Area Latino Study on Aging (SALSA) were followed every 12-15 months via home visits from 1998 to 2007. We used the SoundPLAN software package to estimate noise originating from local traffic with the input of Annual Average Daily Traffic (AADT) data from Metropolitan Planning Organizations (MPO) based on geocoded residential addresses at baseline (1998-1999). We estimated the risks of incident dementia or CIND from 24-hour and nighttime noise exposure using Cox proportional hazard models. RESULTS During the follow-up, we identified 159 incident dementia or CIND cases in total. Per 11.6 dB (interquartile range width) increase in 24-hour noise, the hazard of developing dementia or CIND increased (hazard ratio = 1.3 [1.0, 1.6]) during follow-up; estimates were slightly lower (hazard ratio = 1.2 [0.97, 1.6]) when adjusting for modeled local air pollution exposure from traffic sources. Overall, the risk of dementia/CIND was elevated when 24-hour and nighttime noise were higher than 75 and 65 dB respectively. See video Abstract: http://links.lww.com/EDE/B728. CONCLUSIONS In our study, traffic-related noise exposure was associated with increased risk of dementia or CIND in elderly Mexican-Americans. Future studies taking into account other noise sources and occupational noise exposure before retirement are needed.
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Paoin K, Ueda K, Ingviya T, Buya S, Phosri A, Seposo XT, Seubsman SA, Kelly M, Sleigh A, Honda A, Takano H. Long-term air pollution exposure and self-reported morbidity: A longitudinal analysis from the Thai cohort study (TCS). ENVIRONMENTAL RESEARCH 2021; 192:110330. [PMID: 33068582 PMCID: PMC7768181 DOI: 10.1016/j.envres.2020.110330] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 09/28/2020] [Accepted: 10/07/2020] [Indexed: 05/28/2023]
Abstract
BACKGROUND Several studies have shown the health effects of air pollutants, especially in China, North American and Western European countries. But longitudinal cohort studies focused on health effects of long-term air pollution exposure are still limited in Southeast Asian countries where sources of air pollution, weather conditions, and demographic characteristics are different. The present study examined the association between long-term exposure to air pollution and self-reported morbidities in participants of the Thai cohort study (TCS) in Bangkok metropolitan region (BMR), Thailand. METHODS This longitudinal cohort study was conducted for 9 years from 2005 to 2013. Self-reported morbidities in this study included high blood pressure, high blood cholesterol, and diabetes. Air pollution data were obtained from the Thai government Pollution Control Department (PCD). Particles with diameters ≤10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), and carbon monoxide (CO) exposures were estimated with ordinary kriging method using 22 background and 7 traffic monitoring stations in BMR during 2005-2013. Long-term exposure periods to air pollution for each subject was averaged as the same period of person-time. Cox proportional hazards models were used to examine the association between long-term air pollution exposure with self-reported high blood pressure, high blood cholesterol, diabetes. Results of self-reported morbidity were presented as hazard ratios (HRs) per interquartile range (IQR) increase in PM10, O3, NO2, SO2, and CO. RESULTS After controlling for potential confounders, we found that an IQR increase in PM10 was significantly associated with self-reported high blood pressure (HR = 1.13, 95% CI: 1.04, 1.23) and high blood cholesterol (HR = 1.07, 95%CI: 1.02, 1.12), but not with diabetes (HR = 1.05, 95%CI: 0.91, 1.21). SO2 was also positively associated with self-reported high blood pressure (HR = 1.22, 95%CI: 1.08, 1.38), high blood cholesterol (HR = 1.20, 95%CI: 1.11, 1.30), and diabetes (HR = 1.21, 95%CI: 0.92, 1.60). Moreover, we observed a positive association between CO and self-reported high blood pressure (HR = 1.07, 95%CI: 1.00, 1.15), but not for other diseases. However, self-reported morbidities were not associated with O3 and NO2. CONCLUSIONS Long-term exposure to air pollution, especially for PM10 and SO2 was associated with self-reported high blood pressure, high blood cholesterol, and diabetes in subjects of TCS. Our study supports that exposure to air pollution increases cardiovascular disease risk factors for younger population.
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Affiliation(s)
- Kanawat Paoin
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan
| | - Kayo Ueda
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Graduate School of Global Environmental Sciences, Kyoto University, Kyoto, Japan.
| | - Thammasin Ingviya
- Department of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Suhaimee Buya
- Medical Data Center for Research and Innovation, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Arthit Phosri
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand
| | - Xerxes Tesoro Seposo
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | - Sam-Ang Seubsman
- School of Human Ecology, Sukhothai Thammathirat Open University, Nonthaburi, Thailand
| | - Matthew Kelly
- Department of Global Health, Research School of Population Health, Australian National University, Canberra, Australia
| | - Adrian Sleigh
- Department of Global Health, Research School of Population Health, Australian National University, Canberra, Australia
| | - Akiko Honda
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Graduate School of Global Environmental Sciences, Kyoto University, Kyoto, Japan
| | - Hirohisa Takano
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Graduate School of Global Environmental Sciences, Kyoto University, Kyoto, Japan
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Dimakakou E, Johnston HJ, Streftaris G, Cherrie JW. Is Environmental and Occupational Particulate Air Pollution Exposure Related to Type-2 Diabetes and Dementia? A Cross-Sectional Analysis of the UK Biobank. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17249581. [PMID: 33371391 PMCID: PMC7767456 DOI: 10.3390/ijerph17249581] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 12/16/2020] [Accepted: 12/17/2020] [Indexed: 01/02/2023]
Abstract
Human exposure to particulate air pollution (e.g., PM2.5) can lead to adverse health effects, with compelling evidence that it can increase morbidity and mortality from respiratory and cardiovascular disease. More recently, there has also been evidence that long-term environmental exposure to particulate air pollution is associated with type-2 diabetes mellitus (T2DM) and dementia. There are many occupations that may expose workers to airborne particles and that some exposures in the workplace are very similar to environmental particulate pollution. We conducted a cross-sectional analysis of the UK Biobank cohort to verify the association between environmental particulate air pollution (PM2.5) exposure and T2DM and dementia, and to investigate if occupational exposure to particulates that are similar to those found in environmental air pollution could increase the odds of developing these diseases. The UK Biobank dataset comprises of over 500,000 participants from all over the UK. Environmental exposure variables were used from the UK Biobank. To estimate occupational exposure both the UK Biobank’s data and information from a job exposure matrix, specifically developed for UK Biobank (Airborne Chemical Exposure–Job Exposure Matrix (ACE JEM)), were used. The outcome measures were participants with T2DM and dementia. In appropriately adjusted models, environmental exposure to PM2.5 was associated with an odds ratio (OR) of 1.02 (95% CI 1.00 to 1.03) per unit exposure for developing T2DM, while PM2.5 was associated with an odds ratio of 1.06 (95% CI 0.96 to 1.16) per unit exposure for developing dementia. These environmental results align with existing findings in the published literature. Five occupational exposures (dust, fumes, diesel, mineral, and biological dust in the most recent job estimated with the ACE JEM) were investigated and the risks for most exposures for T2DM and for all the exposures for dementia were not significantly increased in the adjusted models. This was confirmed in a subgroup of participants where a full occupational history was available allowed an estimate of workplace exposures. However, when not adjusting for gender, some of the associations become significant, which suggests that there might be a bias between the occupational assessments for men and women. The results of the present study do not provide clear evidence of an association between occupational exposure to particulate matter and T2DM or dementia.
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Affiliation(s)
- Eirini Dimakakou
- School of Engineering and Physical Sciences, Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot-Watt University, Riccarton, Edinburgh EH14-4AS, UK; (H.J.J.); (J.W.C.)
- Correspondence:
| | - Helinor J. Johnston
- School of Engineering and Physical Sciences, Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot-Watt University, Riccarton, Edinburgh EH14-4AS, UK; (H.J.J.); (J.W.C.)
| | - George Streftaris
- Maxwell Institute for Mathematical Sciences, School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh EH14-4AS, UK;
| | - John W. Cherrie
- School of Engineering and Physical Sciences, Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot-Watt University, Riccarton, Edinburgh EH14-4AS, UK; (H.J.J.); (J.W.C.)
- Institute of Occupational Medicine (IOM), Riccarton, Edinburgh EH14-4AP, UK
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Karimi SM, Maziyaki A, Ahmadian Moghadam S, Jafarkhani M, Zarei H, Moradi-Lakeh M, Pouran H. Continuous exposure to ambient air pollution and chronic diseases: prevalence, burden, and economic costs. REVIEWS ON ENVIRONMENTAL HEALTH 2020; 35:379-399. [PMID: 32324166 DOI: 10.1515/reveh-2019-0106] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Accepted: 03/17/2020] [Indexed: 06/11/2023]
Abstract
Studies that assess the connection between the prevalence of chronic diseases and continuous exposure to air pollution are scarce in developing countries, mainly due to data limitations. Largely overcoming data limitations, this study aimed to investigate the association between the likelihood of reporting a set of chronic diseases (diabetes, cancer, stroke and myocardial infarction, asthma, and hypertension) and continuous exposure to carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3), and coarse particulate matter (PM10). Using the estimated associations, the disease burden and economic costs of continuous exposure to air pollutants were also approximated. A 2011 Health Equity Assessment and Response Tool survey from Tehran, Iran, was used in the main analyses. A sample of 67,049 individuals who had not changed their place of residence for at least 2 years before the survey and reported all relevant socioeconomic information was selected. The individuals were assigned with the average monthly air pollutant levels of the nearest of 16 air quality monitors during the 2 years leading to the survey. Both single- and multi-pollutant analyses were conducted. The country's annual household surveys from 2002 to 2011 were used to calculate the associated economic losses. The single-pollutant analysis showed that a one-unit increase in monthly CO (ppm), NO2 (ppb), O3 (ppb), and PM10 (μg/m3) during the 2 years was associated with 751 [confidence interval (CI): 512-990], 18 (CI: 12-24), 46 (CI: -27-120), and 24 (CI: 13-35) more reported chronic diseases in 100,000, respectively. The disease-specific analyses showed that a unit change in average monthly CO was associated with 329, 321, 232, and 129 more reported cases of diabetes, hypertension, stroke and myocardial infarction, and asthma in 100,000, respectively. The measured associations were greater in samples with older individuals. Also, a unit change in average monthly O3 was associated with 21 (in 100,000) more reported cases of asthma. The multi-pollutant analyses confirmed the results from single-pollutant analyses. The supplementary analyses showed that a one-unit decrease in monthly CO level could have been associated with about 208 (CI: 147-275) years of life gained or 15.195 (CI: 10.296-20.094) thousand US dollars (USD) in life-time labor market income gained per 100,000 30-plus-year-old Tehranis.
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Affiliation(s)
- Seyed M Karimi
- Department of Health Management and System Sciences, University of Louisville, 485 E. Gray St, Louisville, KY 40202, USA, Phone: +1(502)852-0417. Fax: +1(502)852-3294
| | - Ali Maziyaki
- Department of Economics, Allameh Tabatabai University, Tehran, Iran
| | - Samaneh Ahmadian Moghadam
- Department of Neuroscience and Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahtab Jafarkhani
- Department of Economics, Institute for Management and Planning Studies, Tehran, Iran
| | - Hamid Zarei
- Department of Economics, Institute for Management and Planning Studies, Tehran, Iran
| | - Maziar Moradi-Lakeh
- Department of Community Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Hamid Pouran
- Department of Science and Engineering, University of Wolverhampton, Wolverhampton, UK
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Ma JW, Lai TJ, Hu SY, Lin TC, Ho WC, Tsan YT. Effect of ambient air pollution on the incidence of colorectal cancer among a diabetic population: a nationwide nested case-control study in Taiwan. BMJ Open 2020; 10:e036955. [PMID: 33115890 PMCID: PMC7594369 DOI: 10.1136/bmjopen-2020-036955] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVES An increasing number of studies had shown that air pollution exposure may aggravate blood glucose control in patients with diabetes, an independent risk factor for colorectal cancer (CRC) proposed by some researchers. This study aimed to investigate the impact of exposure to ambient particulate matter with aerodynamic diameters ≤2.5 μm (PM2.5) on the incidence of CRC among a diabetic population. DESIGN A nested case-control study. SETTING A subset data retrieved from the Taiwan's National Health Insurance Research Database. PARTICIPANTS We identified patients with newly diagnosed diabetes (n=1 164 962) during 1999-2013. Participants who had subsequently developed an incident of CRC were placed into the case group, while controls were matched to the cases at a 4:1 ratio by age, gender, date of diabetes diagnosis and the index date of CRC diagnosis. METHODS AND OUTCOME MEASURES All variables associated with the risk of CRC entered into a multinomial logistic regression model. The dose-response relationship between various average concentrations of PM2.5 exposure and the incidence of CRC was estimated by logistic regression. RESULTS The study included a total of 7719 incident CRC cases matched with 30 876 controls of random sampling. The mean annual concentration of PM2.5 was 35.3 µg/m3. After adjusting for potential confounders, a dose-response relationship was observed between the CRC risks and each interquartile increase of PM2.5 concentration (Q1-Q2: 1.03 (0.95-1.11), Q2-Q3: 1.06 (0.98-1.15), ≥Q3: 1.19 (1.10-1.28) in model 2. The adjusted ORs (95% CI) of CRC incidence for each 10 µg/m3 increment of PM2.5 was 1.08 (1.04-1.11). Moreover, a faster growing adapted Diabetes Complications Severity Index (aDCSI) score was noticed in CRC group compared with the controls, which also showed a significant association in our multivariate analysis (adjusted OR=1.28, 95% CI 1.18 to 1.38). CONCLUSIONS Long-term exposure to high concentrations of PM2.5 may contribute to an increased incidence of CRC among diabetic populations.
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Affiliation(s)
- Jen-Wen Ma
- Department of Emergency Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Ting-Ju Lai
- Department of Public Health, China Medical University, Taichung, Taiwan
| | - Sung-Yuan Hu
- Department of Emergency Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Tzu-Chieh Lin
- Department of Emergency Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Wen-Chao Ho
- Department of Public Health, China Medical University, Taichung, Taiwan
| | - Yu-Tse Tsan
- Department of Emergency Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Division of Occupational Medicine, Department of Emergency Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
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Wang M, Jin Y, Dai T, Yu C, Zheng S, Nie Y, Bai Y. Association between ambient particulate matter (PM 10) and incidence of diabetes in northwest of China: A prospective cohort study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2020; 202:110880. [PMID: 32590207 DOI: 10.1016/j.ecoenv.2020.110880] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 05/28/2020] [Accepted: 06/08/2020] [Indexed: 05/06/2023]
Abstract
OBJECTIVES We aimed to assess the association between long-term exposure to ambient PM10 and risk of diabetes incidence, based on the "Jinchang Cohort" platform in the Northwest of China. METHODS We selected 19884 subjects who had not yet developed diabetes in the baseline and had completed survey information from "Jinchang Cohort". The residential address was used to match the nearest pollution monitoring station for each subject, and the average concentration of PM10 from baseline to follow-up were used as an estimate of individual exposure level. Cox regression model and restricted cubic splines functions were used to evaluate the effects of PM10 on the incidence of diabetes and the dose-response relationship after adjusting for confounding covariates. RESULTS We observed 791 new-onset diabetics with a total follow-up of 45254.16 person-years (incidence rate of 17.48 per 1000 person-years). The risk of diabetes incidence increased by 17% (HR = 1.17, 95%CI: 1.08-1.26) per 10μg/m3 increase in environmental PM10, and the risk rises gradually with the rise of PM10 concentration. Comparing with the first quartile of PM10, the fully adjusted HRs (95%CI) for incident diabetes from the second to the fourth quartile of PM10 were 1.15 (95%CI: 0.93-1.43), 1.50 (95%CI: 1.22-1.84) and 1.44 (95%CI: 1.15-1.79), respectively (P for trend<0.001). Stratified analyses suggested that the risk of diabetes incidence associated with ambient PM10 was higher in female, young to middle-aged people, overweight and obese subjects, and subjects with FPG level at baseline lower than 5.6 mmol/L. CONCLUSIONS Long-term exposure to ambient PM10 significantly associated with a higher risk of diabetes development. Some urgent strategies may be advocated to reduce air pollution that can aid in preventing the prevalence of diabetes in the population.
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Affiliation(s)
- Minzhen Wang
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
| | - Yafei Jin
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Tian Dai
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Cheng Yu
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Shan Zheng
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Yonghong Nie
- Jinchang Center for Disease Prevention and Control, Jinchang, 737100, China
| | - Yana Bai
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
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Alemayehu YA, Asfaw SL, Terfie TA. Exposure to urban particulate matter and its association with human health risks. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:27491-27506. [PMID: 32410189 DOI: 10.1007/s11356-020-09132-1] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2019] [Accepted: 04/29/2020] [Indexed: 06/11/2023]
Abstract
Human health and environmental risks are increasing following air pollution associated with vehicular and industrial emissions in which particulate matter is a constituent. The purpose of this review was to assess studies on the health effects and mortality induced by particles published for the last 15 years. The literature survey indicated the existence of strong positive associations between fine and ultrafine particles' exposure and cardiovascular, hypertension, obesity and type 2 diabetes mellitus, cancer health risks, and mortality. Its exposure is also associated with increased odds of hypertensive and diabetes disorders of pregnancy and premature deaths. The ever increasing hospital admission and mortality due to heart failure, diabetes, hypertension, and cancer could be due to long-term exposure to particles in different countries. Therefore, its effect should be communicated for legal and scientific actions to minimize emissions mainly from traffic sources.
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Affiliation(s)
| | - Seyoum Leta Asfaw
- Center for Environmental Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Tadesse Alemu Terfie
- Center for Environmental Sciences, Addis Ababa University, Addis Ababa, Ethiopia
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Evaluation of the Suitability of an Existing Job-Exposure Matrix for the Assessment of Exposure of UK Biobank Participants to Dust, Fumes, and Diesel Exhaust Particulates. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17144919. [PMID: 32650426 PMCID: PMC7400423 DOI: 10.3390/ijerph17144919] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 07/02/2020] [Accepted: 07/03/2020] [Indexed: 12/19/2022]
Abstract
Many epidemiological studies have shown an association between outdoor particulate air pollutants and increased morbidity and mortality. Inhalation of ambient aerosols can exacerbate or promote the development of cardiovascular and pulmonary diseases as well as other diseases, such as type 2 diabetes mellitus (T2DM) and neurodegenerative diseases. Occupational exposure to dust, fumes and diesel exhaust particulates can also cause adverse health outcomes and there are numerous occupations where workers are exposed to airborne particles that are similar to ambient air pollution. An individual’s job title has normally been identified as a major determinant of workplace exposure in epidemiological studies. This has led to the development of Job–Exposure Matrices (JEMs) as a way of characterising specific workplace exposures. One JEM for airborne chemical exposures is the Airborne Chemical Exposure Job–Exposure Matrix (ACE JEM), developed specifically for the UK Biobank cohort. The objective of this paper is to evaluate the suitability of the ACE JEM in assessing occupational aerosol exposure of participants in the UK Biobank. We searched the scientific literature to identify exposure data linked to selected jobs in the ACE JEM and compared these data with the JEM assessments. Additionally, we carried out an independent expert-based assessment of exposure to compare with the JEM estimates. There is good published evidence to substantiate the high dust and biological dust assignments in the JEM and more limited evidence for diesel exhaust particulates. There is limited evidence in the published literature to substantiate moderate or low exposure assignments in the JEM. The independent expert-based assessment found good agreement at the two extremes of exposure in the JEM (high and no exposure), with uncertainty in all other classifications. The ACE JEM assignments are probably reliable for highly exposed jobs and for jobs assigned as unexposed. However, the assignments for medium and low exposures are less reliable. The ACE JEM is likely to be a good tool to examine associations between occupational exposures to particulates and chronic disease, although it should be used with caution. Further efforts should be made to improve the reliability of the ACE JEM.
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Elbarbary M, Honda T, Morgan G, Kelly P, Guo Y, Negin J. Ambient air pollution exposure association with diabetes prevalence and glycosylated hemoglobin (HbA1c) levels in China. Cross-sectional analysis from the WHO study of AGEing and adult health wave 1. JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART A, TOXIC/HAZARDOUS SUBSTANCES & ENVIRONMENTAL ENGINEERING 2020; 55:1149-1162. [PMID: 32615056 DOI: 10.1080/10934529.2020.1787011] [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: 02/27/2020] [Revised: 06/09/2020] [Accepted: 06/12/2020] [Indexed: 06/11/2023]
Abstract
Over the past decades, air pollution has become one of the critical environmental health issues in China. The present study aimed to evaluate links between ambient air pollution and the prevalence of type 2 diabetes mellitus (T2DM) and the levels of glycosylated hemoglobin (HbA1c). A multilevel linear and logistic regression was used to assess these associations among 7,770 participants aged ≥50 years from the WHO Study on global AGEing and adult health (SAGE) in China in 2007-2010. The average exposure to each of pollutants (particulate matter with an aerodynamic diameter of ≤10 μm/≤2.5 μm/≤1 μm [PM10/PM2.5/PM1] and nitrogen dioxide [NO2]) was estimated using a satellite-based spatial statistical model. In logistic models, a 10 µg/m3 increase in PM10 and PM2.5 was associated with increased T2DM prevalence (Prevalence Odds Ratio, POR: 1.27; 95% CI: 1.11, 1.45 and POR: 1.23; 95% CI: 1.03, 1.46). Similar increments in PM10, PM2.5, PM1 and NO2 were associated with increase in HbA1c levels of 1.8% (95% CI: 1.3, 2.3), 1.3% (95% CI: 1.1, 1.5), 0.7% (95% CI: 0.1, 1.3), and 0.8% (95% CI: 0.4, 1.2), respectively. In a large cohort of older Chinese adults, air pollution was liked to both higher T2DM prevalence and elevated HbA1c levels.
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Affiliation(s)
- Mona Elbarbary
- Faculty of Medicine and Health, Sydney School of Public Health, The University of Sydney, Sydney, Australia
| | - Trenton Honda
- Department of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Geoffrey Morgan
- Faculty of Medicine and Health, Sydney School of Public Health, The University of Sydney, Sydney, Australia
- School of Public Health, University Centre for Rural Health, Lismore, Australia
| | - Patrick Kelly
- Faculty of Medicine and Health, Sydney School of Public Health, The University of Sydney, Sydney, Australia
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine at the School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Joel Negin
- Faculty of Medicine and Health, Sydney School of Public Health, The University of Sydney, Sydney, Australia
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Shan A, Zhang Y, Zhang LW, Chen X, Li X, Wu H, Yan M, Li Y, Xian P, Ma Z, Li C, Guo P, Dong GH, Liu YM, Chen J, Wang T, Zhao BX, Tang NJ. Associations between the incidence and mortality rates of type 2 diabetes mellitus and long-term exposure to ambient air pollution: A 12-year cohort study in northern China. ENVIRONMENTAL RESEARCH 2020; 186:109551. [PMID: 32330771 DOI: 10.1016/j.envres.2020.109551] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 04/12/2020] [Accepted: 04/16/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Ambient air pollution has recently been related to type 2 diabetes mellitus (T2DM), a disease that has caused an economic and health burden worldwide. Evidence of an association between air pollution and T2DM was reported in the United States and Europe. However, few studies have focused on the association with high levels of air pollutants in a developing country. OBJECTIVES We conducted a 12-year cohort study to assess the incidence and mortality of T2DM associated with long-term exposure to PM10, SO2, and NO2. METHODS A retrospective cohort with participants from four cities in northern China was conducted to assess mortality and incidence of T2DM from 1998 to 2009. Incidence of T2DM was self-reported, and incident intake of an antidiabetic drug or injection of insulin simultaneously and mortality of T2DM was obtained from a family member and double checked against death certificates provided from the local center for disease control and prevention. Individual pollution exposures were the mean concentrations of pollutants estimated from the local environmental monitoring centers over the survival years. Hazard ratios (HRs) were estimated using Cox regression models after adjusting for potential confounding factors. RESULTS A total of 39 054 participants were recruited into the mortality cohort, among which 59 subjects died from T2DM; 38 529 participants were analyzed in the incidence cohort, and 1213 developed new cases of T2DM. For each 10 μg/m3 increase in PM10, SO2, and NO2, the adjusted HRs and 95% confidence interval (CI) for diabetic incidence were 1.831 (1.778, 1.886), 1.287 (1.256, 1.318), and 1.472 (1.419, 1.528), respectively. Similar results can be observed in the analysis of diabetic mortality with HRs (95% CI) up to 2.260 (1.732, 2.950), 1.130 (1.042, 1.225), and 1.525 (1.280, 1.816), respectively. CONCLUSIONS Our results suggested that long-term exposure to high levels of PM10, SO2, and NO2 increase risk of incident and mortality of T2DM in China.
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Affiliation(s)
- Anqi Shan
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, 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, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Li-Wen Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, 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, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, 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, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, 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, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Mengfan Yan
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Yaoyan Li
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Ping Xian
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, 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, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, 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, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, 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, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Guang-Hui Dong
- Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Ya-Min 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, 110122, Shenyang, Liaoning, China
| | - Tong Wang
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China
| | - Bao-Xin 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, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China.
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