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Du S, Kou Y, Du W, Ye W, Qin L, Yang Y. Mediating effects of carbon monoxide on the development of hypertension in China. Public Health 2024; 236:108-114. [PMID: 39180936 DOI: 10.1016/j.puhe.2024.07.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 06/19/2024] [Accepted: 07/14/2024] [Indexed: 08/27/2024]
Abstract
OBJECTIVES Understanding the relationship between ambient carbon monoxide (CO) exposure and hypertension is crucial for advancing public health research. We investigated the association between air pollution CO exposure and hypertension and determined whether various health indicators played a mediating role. STUDY DESIGN Cross-sectional population-based study. METHODS Our study examined the data of 13,240 participants in the China Health and Aging Longitudinal Study (CHARLS) conducted in 2015. A logistic regression approach was used to investigate the association between CO concentration and hypertension. The mediating effects (MEs) of health indicators on the association between carbon monoxide and hypertension prevalence were explored using mediation models. RESULTS Hypertension was diagnosed in 2953 of the participants. A significantly increased prevalence of hypertension was associated with higher concentrations of air pollutant CO after adjusting for all covariates (OR: 1.19, 95% CI: 1.04-1.37) in the matched group (OR: 1.21, 95% CI: 1.03-1.42). The study also showed that proportional mediation was 3.7% by TG, -5.3% by TC, -2.9% by LDL-C and 19.0% by HDL-C for blood lipid; 4.6% by FPG and 12.2% by HbA1c for blood glucose; -2.0% by grip strength and 16.2% by chair rising time for muscle strength; 59.6% by WC and 1.8% by BMI for obesity indicator and -2.3% by nighttime sleep and 7.8% by daytime nap for sleep duration. CONCLUSIONS A significant positive association has been found between environmental CO exposure and hypertension, and obesity, muscle strength, sleep duration, and metabolic factors may play a significant role in mediating this association.
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Affiliation(s)
- S Du
- Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Zhanjiang, Guangdong 524001, China; Department of Gastroenterology, Yellow River Hospital Affiliated of Henan University of Science and Technology, Sanmenxia, Henan 472000, China
| | - Y Kou
- The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, Henan 471000, China
| | - W Du
- Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Zhanjiang, Guangdong 524001, China; Department of Cardiovascular Medicine, Yellow River Hospital Affiliated of Henan University of Science and Technology, Sanmenxia, Henan 472000, China
| | - W Ye
- Department of General Medicine, Dongpu Branch of The First Affiliated Hospital, Jinan University, China
| | - L Qin
- The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, Henan 471000, China.
| | - Y Yang
- Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Zhanjiang, Guangdong 524001, China.
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2
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Forastiere F, Spadaro JV, Ancona C, Jovanovic Andersen Z, Cozzi I, Gumy S, Loncar D, Mudu P, Medina S, Perez Velasco R, Walton H, Zhang J, Krzyzanowski M. Choices of morbidity outcomes and concentration-response functions for health risk assessment of long-term exposure to air pollution. Environ Epidemiol 2024; 8:e314. [PMID: 39045486 PMCID: PMC11265782 DOI: 10.1097/ee9.0000000000000314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 05/14/2024] [Indexed: 07/25/2024] Open
Abstract
Background Air pollution health risk assessment (HRA) has been typically conducted for all causes and cause-specific mortality based on concentration-response functions (CRFs) from meta-analyses that synthesize the evidence on air pollution health effects. There is a need for a similar systematic approach for HRA for morbidity outcomes, which have often been omitted from HRA of air pollution, thus underestimating the full air pollution burden. We aimed to compile from the existing systematic reviews and meta-analyses CRFs for the incidence of several diseases that could be applied in HRA. To achieve this goal, we have developed a comprehensive strategy for the appraisal of the systematic reviews and meta-analyses that examine the relationship between long-term exposure to particulate matter with an aerodynamic diameter smaller than 2.5 µm (PM2.5), nitrogen dioxide (NO2), or ozone (O3) and incidence of various diseases. Methods To establish the basis for our evaluation, we considered the causality determinations provided by the US Environmental Protection Agency Integrated Science Assessment for PM2.5, NO2, and O3. We developed a list of pollutant/outcome pairs based on these assessments and the evidence of a causal relationship between air pollutants and specific health outcomes. We conducted a comprehensive literature search using two databases and identified 75 relevant systematic reviews and meta-analyses for PM2.5 and NO2. We found no relevant reviews for long-term exposure to ozone. We evaluated the reliability of these studies using an adaptation of the AMSTAR 2 tool, which assesses various characteristics of the reviews, such as literature search, data extraction, statistical analysis, and bias evaluation. The tool's adaptation focused on issues relevant to studies on the health effects of air pollution. Based on our assessment, we selected reviews that could be credible sources of CRF for HRA. We also assessed the confidence in the findings of the selected systematic reviews and meta-analyses as the sources of CRF for HRA. We developed specific criteria for the evaluation, considering factors such as the number of included studies, their geographical distribution, heterogeneity of study results, the statistical significance and precision of the pooled risk estimate in the meta-analysis, and consistency with more recent studies. Based on our assessment, we classified the outcomes into three lists: list A (a reliable quantification of health effects is possible in an HRA), list B+ (HRA is possible, but there is greater uncertainty around the reliability of the CRF compared to those included on list A), and list B- (HRA is not recommended because of the substantial uncertainty of the CRF). Results In our final evaluation, list A includes six CRFs for PM2.5 (asthma in children, chronic obstructive pulmonary disease, ischemic heart disease events, stroke, hypertension, and lung cancer) and three outcomes for NO2 (asthma in children and in adults, and acute lower respiratory infections in children). Three additional outcomes (diabetes, dementia, and autism spectrum disorders) for PM2.5 were included in list B+. Recommended CRFs are related to the incidence (onset) of the diseases. The International Classification of Diseases, 10th revision codes, age ranges, and suggested concentration ranges are also specified to ensure consistency and applicability in an HRA. No specific suggestions were given for ozone because of the lack of relevant systematic reviews. Conclusion The suggestions formulated in this study, including CRFs selected from the available systematic reviews, can assist in conducting reliable HRAs and contribute to evidence-based decision-making in public health and environmental policy. Future research should continue to update and refine these suggestions as new evidence becomes available and methodologies evolve.
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Affiliation(s)
- Francesco Forastiere
- National Research Council, IFT, Palermo, Italy
- Environmental Research Group, Imperial College, London, United Kingdom
| | - Joseph V. Spadaro
- World Health Organization, Headquarters, Geneva, Switzerland
- Spadaro Environmental Research Consultants (SERC), Philadelphia, Pennsylvania
| | - Carla Ancona
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit Roma 1, Rome, Italy
| | | | - Ilaria Cozzi
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit Roma 1, Rome, Italy
| | - Sophie Gumy
- World Health Organization, Headquarters, Geneva, Switzerland
| | - Dejan Loncar
- World Health Organization, Headquarters, Geneva, Switzerland
| | - Pierpaolo Mudu
- World Health Organization (WHO), European Center for Environment and Health, Bonn, Germany
| | | | - Roman Perez Velasco
- World Health Organization (WHO), European Center for Environment and Health, Bonn, Germany
| | - Heather Walton
- Environmental Research Group, Imperial College, London, United Kingdom
- National Institute of Health Research Health Protection Research Unit on Environmental Exposures and Health at Imperial College London, London, United Kingdom
| | - Jiawei Zhang
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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3
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Chen J, Hart JE, Fisher NDL, Yanosky JD, Roscoe C, James P, Laden F. Multiple Environmental Exposures and the Development of Hypertension in a Prospective US-Based Cohort of Female Nurses: A Mixture Analysis. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024. [PMID: 39083359 DOI: 10.1021/acs.est.4c03722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/02/2024]
Abstract
We investigated the independent and joint associations between multiple environmental exposures and incident hypertension in a US nationwide prospective cohort of women: the Nurses' Health Study II. We followed 107,532 nonhypertensive participants from 1989 to diagnosis of hypertension, loss to follow-up, death, or end of follow-up in June 2019. We applied Cox proportional hazards models to assess associations of incident hypertension with time-varying residential exposure to air pollution, noise, surrounding greenness, temperature, and neighborhood socioeconomic status (nSES), adjusting for potential confounders and coexposures. We evaluated the joint association of simultaneous exposure using quantile g-computation. We observed 38,175 hypertension cases over 2,062,109 person-years. Increased hypertension incidence was consistently associated with lower nSES and higher levels of fine particles (PM2.5) and nighttime noise exposures: hazard ratio (HRs) and 95% confidence intervals (CIs) of 1.06 (1.04, 1.08), 1.04 (1.01, 1.07), and 1.01 (1.00, 1.03), respectively, per interquartile range change. Joint HR for a one-quartile change in simultaneous exposure to the mixture was 1.05 (95% CI: 1.02, 1.09), assuming additivity, or 1.13 (95% CI: 1.06, 1.20), considering potential interactions within the mixture. Hypertension prevention should focus on enhancing nSES and reducing PM2.5 and noise levels, recognizing that reducing the overall exposures may yield additional benefits.
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Affiliation(s)
- Jie Chen
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts 02115, United States
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Jaime E Hart
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts 02115, United States
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Naomi D L Fisher
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, 221 Longwood Avenue, Boston, Massachusetts 02115, United States
| | - Jeff D Yanosky
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania 17033, United States
| | - Charlotte Roscoe
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts 02115, United States
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, United States
- Division of Population Sciences, Dana Faber Cancer Institute, Boston, Massachusetts 02215, United States
| | - Peter James
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts 02115, United States
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts 02215, United States
| | - Francine Laden
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts 02115, United States
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, United States
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts 02115, United States
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4
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He W. Does environmental regulation matter for healthcare utilisation in China? An interrupted time series study. Int J Health Plann Manage 2024. [PMID: 39054652 DOI: 10.1002/hpm.3829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 05/22/2024] [Accepted: 07/16/2024] [Indexed: 07/27/2024] Open
Abstract
In recent years, China has implemented a series of environmental regulation policies to improve air quality, but the health effects of these policy changes need to be accurately clarified and quantified. The objective of this study was to empirically examine the effects of levying construction dust pollution fees on healthcare utilisation in a southern city of China. The study used a unique administrative insurance claim dataset from the city's Urban Employee Basic Medical Insurance scheme between 2013 and 2015. The sample included 69,961 enrolees. An interrupted time series design was employed to investigate whether and how the healthcare utilisation of enrolees changed after the policy change. The results showed that this environmental regulation policy did not affect the inpatient utilisation of enrolees but did negatively impact outpatient utilisation. In addition, outpatient utilisation of chronic disease coverage decreased for patients with chronic diseases, including diabetes and hypertension. This study provides evidence that enhancing environmental regulations helps reduce medical costs, which can benefit China and other developing countries to improve environmental quality and promote public health.
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Affiliation(s)
- Wen He
- School of Public Administration, Hunan University, Changsha, China
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5
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Kuntic M, Hahad O, Al-Kindi S, Oelze M, Lelieveld J, Daiber A, Münzel T. Pathomechanistic Synergy Between Particulate Matter and Traffic Noise-Induced Cardiovascular Damage and the Classical Risk Factor Hypertension. Antioxid Redox Signal 2024. [PMID: 38874533 DOI: 10.1089/ars.2024.0659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/15/2024]
Affiliation(s)
- Marin Kuntic
- Department of Cardiology 1, Medical Center of the Johannes Gutenberg University, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), Mainz, Germany
| | - Omar Hahad
- Department of Cardiology 1, Medical Center of the Johannes Gutenberg University, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), Mainz, Germany
| | - Sadeer Al-Kindi
- Cardiovascular Prevention & Wellness and Center for CV Computational & Precision Health, Houston Methodist DeBakey Heart & Vascular Center, Houston, Texas, USA
| | - Matthias Oelze
- Department of Cardiology 1, Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Jos Lelieveld
- Max Planck Institute for Chemistry, Atmospheric Chemistry, Mainz, Germany
| | - Andreas Daiber
- Department of Cardiology 1, Medical Center of the Johannes Gutenberg University, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), Mainz, Germany
| | - Thomas Münzel
- Department of Cardiology 1, Medical Center of the Johannes Gutenberg University, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), Mainz, Germany
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6
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Miller MR, Landrigan PJ, Arora M, Newby DE, Münzel T, Kovacic JC. Environmentally Not So Friendly: Global Warming, Air Pollution, and Wildfires: JACC Focus Seminar, Part 1. J Am Coll Cardiol 2024; 83:2291-2307. [PMID: 38839204 DOI: 10.1016/j.jacc.2024.03.424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 03/06/2024] [Indexed: 06/07/2024]
Abstract
Environmental stresses are increasingly recognized as significant risk factors for adverse health outcomes. In particular, various forms of pollution and climate change are playing a growing role in promoting noncommunicable diseases, especially cardiovascular disease. Given recent trends, global warming and air pollution are now associated with substantial cardiovascular morbidity and mortality. As a vicious cycle, global warming increases the occurrence, size, and severity of wildfires, which are significant sources of airborne particulate matter. Exposure to wildfire smoke is associated with cardiovascular disease, and these effects are underpinned by mechanisms that include oxidative stress, inflammation, impaired cardiac function, and proatherosclerotic effects in the circulation. In the first part of a 2-part series on pollution and cardiovascular disease, this review provides an overview of the impact of global warming and air pollution, and because of recent events and emerging trends specific attention is paid to air pollution caused by wildfires.
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Affiliation(s)
- Mark R Miller
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
| | - Philip J Landrigan
- Global Observatory on Planetary Health, Boston College, Boston, Massachusetts, USA; Scientific Center of Monaco, Monaco
| | - Manish Arora
- Department of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - David E Newby
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Thomas Münzel
- Department of Cardiology, University Medical Center Mainz, Johannes Gutenberg University, Mainz, Germany; German Center for Cardiovascular Research, Partner Site Rhine-Main, Mainz, Germany
| | - Jason C Kovacic
- Victor Chang Cardiac Research Institute, Darlinghurst, Australia; St Vincent's Clinical School, University of New South Wales, Sydney, Australia; Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA; School of Human Sciences, University of Western Australia, Perth, Australia
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7
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Cheng Z, Qin K, Zhang Y, Yu Z, Li B, Jiang C, Xu J. Air pollution and cancer daily mortality in Hangzhou, China: an ecological research. BMJ Open 2024; 14:e084804. [PMID: 38858146 PMCID: PMC11168133 DOI: 10.1136/bmjopen-2024-084804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 05/14/2024] [Indexed: 06/12/2024] Open
Abstract
BACKGROUND Long-term exposure to air pollution has been linked to cancer incidence. However, the evidence is limited regarding the effect of short-term exposure to air pollution on cancer mortality. OBJECTIVES This study aimed to investigate associations between short-term exposure to air pollutants (sulfur dioxide (SO2), nitrogen dioxide (NO2), particulate matter with an aerodynamic diameter <10 mm (PM10) and PM2.5) and cancer daily mortality. METHODS This study used air quality, meteorological and daily cancer death data from 2014 to 2019 in Hangzhou, China. Generalised additive models (GAM) with quasi-Poisson regression were used to analyse the associations between air pollutants and cancer mortality with adjustment for confounding factors including time trends, day of week, temperature and humidity. Then, we conducted stratified analyses by sex, age, season and education. In addition, stratified analyses of age, season and education were performed within each sex to determine whether sex difference was modified by such factors. RESULTS After adjusting for potential confounders, the GAM results indicated a statistically significant relationship between increased cancer mortality and elevated air pollution concentrations, but only in the female population. For every 10 μg/m3 rise in pollutant concentration, the increased risk of cancer death in females was 6.82% (95% CI 3.63% to 10.10%) for SO2 on lag 03, and 2.02% (95% CI 1.12% to 2.93%) for NO2 on lag 01 and 0.89% (95% CI 0.46% to 1.33%) for PM10 on lag 03 and 1.29% (95% CI 0.64% to 1.95%) for PM2.5 on lag 03. However, no statistically significant association was found among males. Moreover, the differences in effect sizes between males and females were more pronounced during the cold season, among the elderly and among subjects with low levels of education. CONCLUSIONS Increased cancer mortality was only observed in females with rising concentrations of air pollutants. Further research is required to confirm this sex difference. Advocate for the reduction of air pollutant emissions to protect vulnerable groups.
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Affiliation(s)
- Zongxue Cheng
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Kang Qin
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Yan Zhang
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Zhecong Yu
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Biao Li
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Caixia Jiang
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Jue Xu
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
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8
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Libby TE, Ilango SD, Leary CS, Semmens EO, Adam CE, Fitzpatrick AL, Kaufman JD, Hajat A. An assessment of the mediating role of hypertension in the effect of long-term air pollution exposure on dementia. Environ Epidemiol 2024; 8:e306. [PMID: 38799261 PMCID: PMC11115980 DOI: 10.1097/ee9.0000000000000306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 03/18/2024] [Indexed: 05/29/2024] Open
Abstract
Background Growing evidence links air pollution exposure to the risk of dementia. We hypothesized that hypertension may partially mediate this effect. Methods We previously documented an association between air pollution and dementia in the Ginkgo Evaluation of Memory Study, a randomized, placebo-controlled trial of 3069 adults ≥75 years across four US sites who were evaluated for dementia every 6 months from 2000-2008. We utilized a two-stage regression approach for causal mediation analysis to decompose the total effect of air pollution on dementia into its natural direct and indirect effect through prevalent hypertension. Exposure to air pollution in the 10 or 20 years before enrollment was assigned using estimates from fine-scale spatial-temporal models for PM2.5, PM10, and NO2. We used Poisson regression models for hypertension and Cox proportional hazard models for time-to-incident all-cause dementia, adjusting for a priori confounders. Results Participants were free of mild cognitive impairment at baseline (n = 2564 included in analyses); 69% had prevalent hypertension at baseline. During follow-up, 12% developed all-cause dementia (Alzheimer's disease [AD] = 212; vascular dementia with or without AD [VaD/AD mixed] = 97). We did not find an adverse effect of any air pollutant on hypertension. Hypertension was associated with VaD/AD mixed (HR, 1.92 [95% CI = 1.14, 3.24]) but not AD. We did not observe mediation through hypertension for the effect of any pollutant on dementia outcomes. Conclusions The lack of mediated effect may be due to other mechanistic pathways and the minimal effect of air pollution on hypertension in this cohort of older adults.
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Affiliation(s)
- Tanya E. Libby
- Department of Epidemiology, University of Washington, Seattle, Washington
| | - Sindana D. Ilango
- Department of Epidemiology, University of Washington, Seattle, Washington
| | - Cindy S. Leary
- Center for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, Montana
| | - Erin O. Semmens
- Center for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, Montana
| | - Claire E. Adam
- Center for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, Montana
| | - Annette L. Fitzpatrick
- Department of Epidemiology, University of Washington, Seattle, Washington
- Department of Family Medicine, University of Washington, Seattle, Washington
| | - Joel D. Kaufman
- Department of Epidemiology, University of Washington, Seattle, Washington
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington
- Department of Medicine, University of Washington, Seattle, Washington
| | - Anjum Hajat
- Department of Epidemiology, University of Washington, Seattle, Washington
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9
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Roche IV, Ubalde-Lopez M, Daher C, Nieuwenhuijsen M, Gascon M. The Health-Related and Learning Performance Effects of Air Pollution and Other Urban-Related Environmental Factors on School-Age Children and Adolescents-A Scoping Review of Systematic Reviews. Curr Environ Health Rep 2024; 11:300-316. [PMID: 38369581 PMCID: PMC11082043 DOI: 10.1007/s40572-024-00431-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/26/2024] [Indexed: 02/20/2024]
Abstract
PURPOSE OF REVIEW This scoping review aims to assess the impact of air pollution, traffic noise, heat, and green and blue space exposures on the physical and cognitive development of school-age children and adolescents. While existing evidence indicates adverse effects of transport-related exposures on their health, a comprehensive scoping review is necessary to consolidate findings on various urban environmental exposures' effects on children's development. RECENT FINDINGS There is consistent evidence on how air pollution negatively affects children's cognitive and respiratory health and learning performance, increasing their susceptibility to diseases in their adult life. Scientific evidence on heat and traffic noise, while less researched, indicates that they negatively affect children's health. On the contrary, green space exposure seems to benefit or mitigate these adverse effects, suggesting a potential strategy to promote children's cognitive and physical development in urban settings. This review underscores the substantial impact of urban exposures on the physical and mental development of children and adolescents. It highlights adverse health effects that can extend into adulthood, affecting academic opportunities and well-being beyond health. While acknowledging the necessity for more research on the mechanisms of air pollution effects and associations with heat and noise exposure, the review advocates prioritizing policy changes and urban planning interventions. This includes minimizing air pollution and traffic noise while enhancing urban vegetation, particularly in school environments, to ensure the healthy development of children and promote lifelong health.
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Affiliation(s)
- Inés Valls Roche
- ISGlobal, Parc de Recerca Biomèdica de Barcelona-PRBB, C/ Doctor Aiguader, 88, 08003, Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), Barcelona, Spain.
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
| | - Mònica Ubalde-Lopez
- ISGlobal, Parc de Recerca Biomèdica de Barcelona-PRBB, C/ Doctor Aiguader, 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Carolyn Daher
- ISGlobal, Parc de Recerca Biomèdica de Barcelona-PRBB, C/ Doctor Aiguader, 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Mark Nieuwenhuijsen
- ISGlobal, Parc de Recerca Biomèdica de Barcelona-PRBB, C/ Doctor Aiguader, 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Mireia Gascon
- ISGlobal, Parc de Recerca Biomèdica de Barcelona-PRBB, C/ Doctor Aiguader, 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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10
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Oshidari Y, Salehi M, Kermani M, Jonidi Jafari A. Associations between long-term exposure to air pollution, diabetes, and hypertension in metropolitan Iran: an ecologic study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:2476-2490. [PMID: 37674318 DOI: 10.1080/09603123.2023.2254713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 08/29/2023] [Indexed: 09/08/2023]
Abstract
Epidemiological studies on air pollution, diabetes, and hypertension conflict. This study examined air pollution, diabetes, and hypertension in adults in 11 metropolitan areas of Iran (2012-2016). Local environment departments and the Tehran Air Quality Control Company provided air quality data. The VIZIT website and Stepwise Approach to Chronic Disease Risk Factor Surveillance study delivered chronic disease data. Multiple logistic regression and generalized estimating equations evaluated air pollution-related diabetes and hypertension. In Isfahan, Ahvaz, and Tehran, PM2.5 was linked to diabetes. In all cities except Urmia, Yasuj, and Yazd, PM2.5 was statistically related to hypertension. O3 was connected to hypertension in Ahvaz, Tehran, and Shiraz, whereas NO2 was not. BMI and gender predict hypertension and diabetes. Diabetes, SBP, and total cholesterol were correlated. Iran's largest cities' poor air quality may promote diabetes and hypertension. PM2.5 impacts many cities' outcomes. Therefore, politicians and specialists have to control air pollution.
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Affiliation(s)
- Yasaman Oshidari
- Research Center of Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Masoud Salehi
- Department of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Majid Kermani
- Research Center of Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Ahmad Jonidi Jafari
- Research Center of Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
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Zhang Y, Chen S, Wei J, Jiang J, Lin X, Wang Y, Hao C, Wu W, Yuan Z, Sun J, Wang H, Du Z, Zhang W, Hao Y. Long-term PM 1 exposure and hypertension hospitalization: A causal inference study on a large community-based cohort in South China. Sci Bull (Beijing) 2024; 69:1313-1322. [PMID: 38556396 DOI: 10.1016/j.scib.2024.03.028] [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: 09/28/2023] [Revised: 12/11/2023] [Accepted: 01/26/2024] [Indexed: 04/02/2024]
Abstract
Limited evidence exists on the effect of submicronic particulate matter (PM1) on hypertension hospitalization. Evidence based on causal inference and large cohorts is even more scarce. In 2015, 36,271 participants were enrolled in South China and followed up through 2020. Each participant was assigned single-year, lag0-1, and lag0-2 moving average concentration of PM1 and fine inhalable particulate matter (PM2.5) simulated based on satellite data at a 1-km resolution. We used an inverse probability weighting approach to balance confounders and utilized a marginal structural Cox model to evaluate the underlying causal links between PM1 exposure and hypertension hospitalization, with PM2.5-hypertension association for comparison. Several sensitivity studies and the analyses of effect modification were also conducted. We found that a higher hospitalization risk from both overall (HR: 1.13, 95% CI: 1.05-1.22) and essential hypertension (HR: 1.15, 95% CI: 1.06-1.25) was linked to each 1 µg/m3 increase in the yearly average PM1 concentration. At lag0-1 and lag0-2, we observed a 17%-21% higher risk of hypertension associated with PM1. The effect of PM1 was 6%-11% higher compared with PM2.5. Linear concentration-exposure associations between PM1 exposure and hypertension were identified, without safety thresholds. Women and participants that engaged in physical exercise exhibited higher susceptibility, with 4%-22% greater risk than their counterparts. This large cohort study identified a detrimental relationship between chronic PM1 exposure and hypertension hospitalization, which was more pronounced compared with PM2.5 and among certain groups.
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Affiliation(s)
- Yuqin Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, China
| | - Shirui Chen
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park 20742, USA
| | - Jie Jiang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Xiao Lin
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, China
| | - Ying Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, China
| | - Chun Hao
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, China
| | - Wenjing Wu
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, China
| | - Zhupei Yuan
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, China
| | - Jie Sun
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, China
| | - Han Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, China
| | - Zhicheng Du
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, China.
| | - Wangjian Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, China.
| | - Yuantao Hao
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China.
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12
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Bao M, Li H, Zhang Y, Li J. PM2.5 associates with blood pressure: a Mendelian randomization analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-12. [PMID: 38647234 DOI: 10.1080/09603123.2024.2339536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 04/01/2024] [Indexed: 04/25/2024]
Abstract
The relationship between fine particulate matter (PM2.5) and blood pressure (BP) is a controversial issue. We conducted a two-sample Mendelian randomization (MR) analysis and identified 58 genome-wide significant single-nucleotide polymorphisms associated with PM2.5 as instrument variables. Inverse-variance weighted (IVW) was used as the primary analysis approach. MR-Egger, weighted median, simple model, and weighted model methods were selected for quality control. We found a significant negative causal association of higher genetically predicted PM2.5 levels with lower systolic BP (SBP), while no causal relationship was identified between PM2.5 and diastolic BP (DBP). For each 1 standard deviation increase in genetically predicted PM2.5 levels, the beta value (95% CI) of SBP was -0.14 (-0.25, -0.03) for IVW (p=0.02), and -0.13 (-0.22, -0.04) for weighted median (p=0.005). Increased PM2.5 concentrations can lead to decreased SBP levels. Our findings provided novel insights into the controversial topic on the causal relationship between PM2.5 and BP.
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Affiliation(s)
- Minghui Bao
- Department of Cardiology, Peking University First Hospital, Peking University, Beijing, China
| | - Haotong Li
- National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yan Zhang
- Department of Cardiology, Peking University First Hospital, Peking University, Beijing, China
| | - Jianping Li
- Department of Cardiology, Peking University First Hospital, Peking University, Beijing, China
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13
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Li Y, Yu B, Yin L, Li X, Nima Q. Long-term exposure to particulate matter is associated with elevated blood pressure: Evidence from the Chinese plateau area. J Glob Health 2024; 14:04039. [PMID: 38483442 PMCID: PMC10939114 DOI: 10.7189/jogh.14.04039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2024] Open
Abstract
Background Ambient air pollution could increase the risk of hypertension; however, evidence regarding the relationship between long-term exposure to particulate matter and elevated blood pressure in plateau areas with lower pollution levels is limited. Methods We assessed the associations of long-term exposure to particulate matter (PM, PM1, PM2.5, and PM10) with hypertension, diastolic blood pressure (DBP), systolic blood pressure (SBP) and pulse pressure (PP) in 4.235 Tibet adults, based on the baseline of the China multi-ethnic cohort study (CMEC) in Lhasa city, Tibet from 2018-19. We used logistic regression and linear regression models to evaluate the associations of ambient PM with hypertension and blood pressure, respectively. Results Long-term exposure to PM1, PM2.5, and PM10 is positively associated with hypertension, DBP, and SBP, while negatively associated with PP. Among these air pollutants, PM10 had the strongest effect on hypertension, DBP, and SBP, while PM2.5 had the strongest effect on PP. The results showed for hypertension odds ratio (OR) = 1.99; 95% confidence interval (CI) = 1.58, 2.51 per interquartile range (IQR) μg/m3 increase in PM1, OR = 1.93; 95% CI = 1.55, 2.40 per IQR μg/m3 increase in PM2.5, and OR = 2.12; 95% CI = 1.67, 2.68 per IQR μg/m3 increase in PM10. Conclusions Long-term exposure to ambient air pollution was associated with an increased risk of hypertension, elevated SBP and DBP levels, and decreased PP levels. To reduce the risk of hypertension and PP reduction, attention should be paid to air quality interventions in plateau areas with low pollution levels.
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Affiliation(s)
- Yajie Li
- Tibet Centre for Disease Control and Prevention, Lhasa, Tibet Autonomous Region, China
| | - Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University – Hong Kong Polytechnic University, Chengdu, China
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Li Yin
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Dali University, Dali, China
| | - Xianzhi Li
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Dali University, Dali, China
| | - Qucuo Nima
- Tibet Centre for Disease Control and Prevention, Lhasa, Tibet Autonomous Region, China
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14
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Münzel T, Daiber A, Hahad O. [Air pollution, noise and hypertension : Partners in crime]. Herz 2024; 49:124-133. [PMID: 38321170 DOI: 10.1007/s00059-024-05234-5] [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] [Accepted: 01/17/2024] [Indexed: 02/08/2024]
Abstract
Air pollution and traffic noise are two important environmental risk factors that endanger health in urban societies and often act together as "partners in crime". Although air pollution and noise often co-occur in urban environments, they have typically been studied separately, with numerous studies documenting consistent effects of individual exposure on blood pressure. In the following review article, we examine the epidemiology of air pollution and noise, especially regarding the cardiovascular risk factor arterial hypertension and the underlying pathophysiology. Both environmental stressors have been shown to lead to endothelial dysfunction, oxidative stress, pronounced vascular inflammation, disruption of circadian rhythms and activation of the autonomic nervous system, all of which promote the development of hypertension and cardiovascular diseases. From a societal and political perspective, there is an urgent need to point out the potential dangers of air pollution and traffic noise in the American Heart Association (AHA)/American College of Cardiology (ACC) prevention guidelines and the European Society of Cardiology (ESC) guidelines on prevention. Therefore, an essential goal for the future is to raise awareness of environmental risk factors as important and, in particular, preventable risk factors for cardiovascular diseases.
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Affiliation(s)
- T Münzel
- Zentrum für Kardiologie, Kardiologie I, Universitätsmedizin, Johannes-Gutenberg-Universität Mainz, Langenbeckstraße 1, 55131, Mainz, Deutschland.
| | - A Daiber
- Zentrum für Kardiologie, Kardiologie I, Universitätsmedizin, Johannes-Gutenberg-Universität Mainz, Langenbeckstraße 1, 55131, Mainz, Deutschland
| | - O Hahad
- Zentrum für Kardiologie, Kardiologie I, Universitätsmedizin, Johannes-Gutenberg-Universität Mainz, Langenbeckstraße 1, 55131, Mainz, Deutschland
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15
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Xia Z, Liu Y, Liu C, Dai Z, Liang X, Zhang N, Wu W, Wen J, Zhang H. The causal effect of air pollution on the risk of essential hypertension: a Mendelian randomization study. Front Public Health 2024; 12:1247149. [PMID: 38425468 PMCID: PMC10903282 DOI: 10.3389/fpubh.2024.1247149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 01/22/2024] [Indexed: 03/02/2024] Open
Abstract
Background Air pollution poses a major threat to human health by causing various illnesses, such as cardiovascular diseases. While plenty of research indicates a correlation between air pollution and hypertension, a definitive answer has yet to be found. Methods Our analyses were performed using the Genome-wide association study (GWAS) of exposure to air pollutants from UKB (PM2.5, PM10, NO2, and NOX; n = 423,796 to 456,380), essential hypertension from FinnGen (42,857 cases and 162,837 controls) and from UKB (54,358 cases and 408,652 controls) as a validated cohort. Univariable and multivariable Mendelian randomization (MR) were conducted to investigate the causal relationship between air pollutants and essential hypertension. Body mass index (BMI), alcohol intake frequency, and the number of cigarettes previously smoked daily were included in multivariable MRs (MVMRs) as potential mediators/confounders. Results Our findings suggested that higher levels of both PM2.5 (OR [95%CI] per 1 SD increase in predicted exposure = 1.24 [1.02-1.53], p = 3.46E-02 from Finn; OR [95%CI] = 1.04 [1.02-1.06], p = 7.58E-05 from UKB) and PM10 (OR [95%CI] = 1.24 [1.02-1.53], p = 3.46E-02 from Finn; OR [95%CI] = 1.04 [1.02-1.06], p = 7.58E-05 from UKB) were linked to an increased risk for essential hypertension. Even though we used MVMR to adjust for the impacts of smoking and drinking on the relationship between PM2.5 exposure and essential hypertension risks, our findings suggested that although there was a direct positive connection between them, it is not present after adjusting BMI (OR [95%CI] = 1.05 [0.87-1.27], p = 6.17E-01). Based on the study, higher exposure to PM2.5 and PM10 increases the chances of developing essential hypertension, and this influence could occur through mediation by BMI. Conclusion Exposure to both PM2.5 and PM10 is thought to have a causal relationship with essential hypertension. Those impacted by substantial levels of air pollution require more significant consideration for their cardiovascular health.
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Affiliation(s)
- Zhiwei Xia
- Department of Neurology, Hunan Aerospace Hospital, Changsha, Hunan Province, China
| | - Yinjiang Liu
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Chao Liu
- Department of Neurosurgery, Central Hospital of Zhuzhou, Zhuzhou, Hunan Province, China
| | - Ziyu Dai
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Xisong Liang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Nan Zhang
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wantao Wu
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Jie Wen
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Hao Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
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16
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Fu L, Guo Y, Zhu Q, Chen Z, Yu S, Xu J, Tang W, Wu C, He G, Hu J, Zeng F, Dong X, Yang P, Lin Z, Wu F, Liu T, Ma W. Effects of long-term exposure to ambient fine particulate matter and its specific components on blood pressure and hypertension incidence. ENVIRONMENT INTERNATIONAL 2024; 184:108464. [PMID: 38324927 DOI: 10.1016/j.envint.2024.108464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 01/10/2024] [Accepted: 01/29/2024] [Indexed: 02/09/2024]
Abstract
BACKGROUND Epidemiological evidence on the association of PM2.5 (particulate matter with aerodynamic diameter ≤ 2.5 μm) and its specific components with hypertension and blood pressure is limited. METHODS We applied information of participants from the World Health Organization's (WHO) Study on Global Ageing and Adult Health (SAGE) to estimate the associations of long-term PM2.5 mass and its chemical components exposure with blood pressure (BP) and hypertension incidence in Chinese adults ≥ 50 years during 2007-2018. Generalized linear mixed model and Cox proportional hazard model were applied to investigate the effects of PM2.5 mass and its chemical components on the incidence of hypertension and BP, respectively. RESULTS Each interquartile range (IQR = 16.80 μg/m3) increase in the one-year average of PM2.5 mass concentration was associated with a 17 % increase in the risk of hypertension (HR = 1.17, 95 % CI: 1.10, 1.24), and the population attributable fraction (PAF) was 23.44 % (95 % CI: 14.69 %, 31.55 %). Each IQR μg/m3 increase in PM2.5 exposure was also related to increases of systolic blood pressure (SBP) by 2.54 mmHg (95 % CI:1.99, 3.10), and of diastolic blood pressure (DBP) by 1.36 mmHg (95 % CI: 1.04, 1.68). Additionally, the chemical components of SO42-, NO3-, NH4+, OM, and BC were also positively associated with an increased risk of hypertension incidence and elevated blood pressure. CONCLUSIONS These results indicate that long-term exposure to PM2.5 mass and its specific components may be major drivers of escalation in hypertension diseases.
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Affiliation(s)
- Li Fu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; Tianhe District Center for Disease Control and Prevention, Guangzhou 510655, China
| | - Yanfei Guo
- Shanghai Municipal Centre for Disease Control and Prevention, Shanghai 200336, China; General Practice/Family Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Qijiong Zhu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Zhiqing Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Siwen Yu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Jiahong Xu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Weiling Tang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Cuiling Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Jianxiong Hu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Fangfang Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Xiaomei Dong
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Pan Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Ziqiang Lin
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Fan Wu
- Shanghai Medical College, Fudan University, Shanghai 200032, China.
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China.
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
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De Vita A, Belmusto A, Di Perna F, Tremamunno S, De Matteis G, Franceschi F, Covino M. The Impact of Climate Change and Extreme Weather Conditions on Cardiovascular Health and Acute Cardiovascular Diseases. J Clin Med 2024; 13:759. [PMID: 38337453 PMCID: PMC10856578 DOI: 10.3390/jcm13030759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/12/2024] [Accepted: 01/24/2024] [Indexed: 02/12/2024] Open
Abstract
Climate change is widely recognized as one of the most significant challenges facing our planet and human civilization. Human activities such as the burning of fossil fuels, deforestation, and industrial processes release greenhouse gases into the atmosphere, leading to a warming of the Earth's climate. The relationship between climate change and cardiovascular (CV) health, mediated by air pollution and increased ambient temperatures, is complex and very heterogeneous. The main mechanisms underlying the pathogenesis of CV disease at extreme temperatures involve several regulatory pathways, including temperature-sympathetic reactivity, the cold-activated renin-angiotensin system, dehydration, extreme temperature-induced electrolyte imbalances, and heat stroke-induced systemic inflammatory responses. The interplay of these mechanisms may vary based on individual factors, environmental conditions, and an overall health background. The net outcome is a significant increase in CV mortality and a higher incidence of hypertension, type II diabetes mellitus, acute myocardial infarction (AMI), heart failure, and cardiac arrhythmias. Patients with pre-existing CV disorders may be more vulnerable to the effects of global warming and extreme temperatures. There is an urgent need for a comprehensive intervention that spans from the individual level to a systemic or global approach to effectively address this existential problem. Future programs aimed at reducing CV and environmental burdens should require cross-disciplinary collaboration involving physicians, researchers, public health workers, political scientists, legislators, and national leaders to mitigate the effects of climate change.
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Affiliation(s)
- Antonio De Vita
- Università Cattolica del Cattolica del Sacro Cuore, 00168 Roma, Italy; (A.B.); (F.D.P.); (F.F.); (M.C.)
- Department of Cardiovascular Sciences, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Roma, Italy;
| | - Antonietta Belmusto
- Università Cattolica del Cattolica del Sacro Cuore, 00168 Roma, Italy; (A.B.); (F.D.P.); (F.F.); (M.C.)
| | - Federico Di Perna
- Università Cattolica del Cattolica del Sacro Cuore, 00168 Roma, Italy; (A.B.); (F.D.P.); (F.F.); (M.C.)
| | - Saverio Tremamunno
- Department of Cardiovascular Sciences, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Roma, Italy;
| | - Giuseppe De Matteis
- Department of Internal Medicine and Gastroenterology, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Roma, Italy;
| | - Francesco Franceschi
- Università Cattolica del Cattolica del Sacro Cuore, 00168 Roma, Italy; (A.B.); (F.D.P.); (F.F.); (M.C.)
- Emergency Medicine, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Roma, Italy
| | - Marcello Covino
- Università Cattolica del Cattolica del Sacro Cuore, 00168 Roma, Italy; (A.B.); (F.D.P.); (F.F.); (M.C.)
- Emergency Medicine, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Roma, Italy
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18
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Wang Z, Yu T, Ye J, Tian L, Lin B, Leng W, Liu C. A novel low sampling rate and cost-efficient active sampler for medium/long-term monitoring of gaseous pollutants. JOURNAL OF HAZARDOUS MATERIALS 2024; 461:132583. [PMID: 37741205 DOI: 10.1016/j.jhazmat.2023.132583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 09/14/2023] [Accepted: 09/17/2023] [Indexed: 09/25/2023]
Abstract
Active sampling is a dependable approach for gaseous pollutants monitoring, offering high accuracy and precision that is unaffected by environmental factors such as wind and temperature in comparison to passive sampling. To measure long-term average concentrations while minimizing the use of materials, a reduced sampling rate is necessary. Thus, this study aims to develop a novel low sampling rate (down to 1 mL/min) and cost-efficient active sampler (LASP) for medium/long-term monitoring of gaseous pollutants. The LASP mainly consisted of a syringe pump, a Y-shaped fitting with two one-way valves, and a control unit for intermittent operation. Results showed that LASP can obtain a sampling rate of less than 1 mL/min and sampling rate exhibited a high level of stability. Daily average concentrations measurements for nitrogen dioxide and formaldehyde by LASP had normalized mean biases of 2.8% and 5.2%, respectively. These numbers were - 5.8% and 6.1% for weekly-average samplings. This study demonstrated applications of LASP in real outdoor (daily-average) and indoor (weekly-average) air quality measurements. It worked well with low noise levels, and without interfering with occupants' daily activities. LASP can assist in improving our ability to monitor air quality and pollutants emissions, thereby supporting health research and policy development. ENVIRONMENTAL IMPLICATION: Gaseous air pollution is an important hazardous factor threatening human health. Medium/long-term air quality monitoring is essential for outdoor and indoor air quality assessment and control. However, air sampler for medium/long-term sampling is lacking. This study developed a novel low sampling rate and cost-efficient active sampler and applied it to medium/long-term air sampling. The sampler can work at a sampling rate of less than 1 mL/min. This technology provides a feasible strategy for medium/long-term monitoring of gaseous air pollutants in both environments and emission hotspots.
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Affiliation(s)
- Zhiyuan Wang
- School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - Tao Yu
- Wuhan Second Ship Design and Research Institute, Wuhan 430205, China
| | - Jin Ye
- School of Energy and Power, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu 212100, China
| | - Lei Tian
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Bencheng Lin
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Wenjun Leng
- Wuhan Second Ship Design and Research Institute, Wuhan 430205, China
| | - Cong Liu
- School of Energy and Environment, Southeast University, Nanjing 210096, China.
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19
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Zhou Q, Li X, Zhang J, Duan Z, Mao S, Wei J, Han S, Niu Z. Long-term exposure to PM 1 is associated with increased prevalence of metabolic diseases: evidence from a nationwide study in 123 Chinese cities. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:549-563. [PMID: 38015390 DOI: 10.1007/s11356-023-31098-z] [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: 08/16/2023] [Accepted: 11/14/2023] [Indexed: 11/29/2023]
Abstract
Exposure to particulate matter (PM) has been linked to metabolic diseases. However, the effects of PM with an aerodynamic diameter ≤ 1.0 µm (PM1) on metabolic diseases remain unclear. This study is aimed at assessing the associations of PM1 with metabolic disease risk and quantifying the concentration-response (C-R) relationship of PM1 with metabolic disease risk. A national cross-sectional study was conducted, including 12,495 middle-aged and older adults in 123 Chinese cities. The two-year average concentration of PM1 was evaluated using satellite-based spatiotemporal models. Metabolic diseases, including abdominal obesity, diabetes, hypertension, dyslipidemia, and metabolic syndrome, were identified based on physical examination, blood standard biochemistry examination, and self-reported disease histories. Generalized linear models and C-R curves were used to evaluate the associations of PM1 with metabolic diseases. A total of 12,495 participants were included in this study, with a prevalence of 45.73% for abdominal obesity, 20.22% for diabetes, 42.46% for hypertension, 41.01% for dyslipidemia, and 33.78% for metabolic syndrome. The mean ± standard deviation age of participants was 58.79 ± 13.14 years. In addition to dyslipidemia, exposure to PM1 was associated with increased risks of abdominal obesity, diabetes, hypertension, and metabolic syndrome. Each 10 μg/m3 increase in PM1 concentrations was associated with 39% (odds ratio (OR) = 1.39, 95% confidence interval (CI) 1.33, 1.46) increase in abdominal obesity, 18% (OR = 1.18, 95%CI 1.12, 1.25) increase in diabetes, 11% (OR = 1.11, 95%CI 1.06, 1.16) increase in hypertension, and 25% (OR = 1.25, 95%CI 1.19, 1.31) in metabolic syndrome, respectively. C-R curves showed that the OR values of abdominal obesity, diabetes, hypertension, and metabolic syndrome were increased gradually with the increase of PM1 concentrations. Subgroup analysis indicated that exposure to PM1 was associated with increased metabolic disease risks among participants with different lifestyles and found that solid fuel users were more susceptible to PM1 than clean fuel users. This national cross-sectional study indicated that exposure to higher PM1 might increase abdominal obesity, diabetes, hypertension, and metabolic syndrome risk, and solid fuel use might accelerate the adverse effects of PM1 on metabolic syndrome risk. Further longitudinal cohort studies are warranted to establish a causal inference between PM1 exposure and metabolic disease risk.
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Affiliation(s)
- Qin Zhou
- Department of Orthodontics, College of Stomatology, Xi'an Jiaotong University, No. 98 XiWu Road, Xi'an, 710004, Shaanxi, China
| | - Xianfeng Li
- Department of Reproductive Service Technology, Urumqi Maternal and Child Health Hospital, No. 344 Jiefang South Road, Tianshan District, Urumqi, 830000, China
| | - Jinglong Zhang
- Department of Cardiovascular Surgery, Xijing Hospital, The Fourth Military Medical University, 127 West Changle Road, Xi'an, 710032, China
| | - Zhizhou Duan
- Preventive Health Service, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, 152 Aiguo Road, Nanchang, Jiangxi, China
| | - Shuyuan Mao
- The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Road, Zhengzhou, 450000, Henan, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USA
| | - Shichao Han
- Department of Urology, Xijing Hospital, The Fourth Military Medical University, 127 West Changle Road, Xi'an, 710032, China
| | - Zhiping Niu
- Department of Environmental Health, School of Public Health, Fudan University, 196 Xietu Road, Shanghai, 200032, China.
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20
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Charchar FJ, Prestes PR, Mills C, Ching SM, Neupane D, Marques FZ, Sharman JE, Vogt L, Burrell LM, Korostovtseva L, Zec M, Patil M, Schultz MG, Wallen MP, Renna NF, Islam SMS, Hiremath S, Gyeltshen T, Chia YC, Gupta A, Schutte AE, Klein B, Borghi C, Browning CJ, Czesnikiewicz-Guzik M, Lee HY, Itoh H, Miura K, Brunström M, Campbell NR, Akinnibossun OA, Veerabhadrappa P, Wainford RD, Kruger R, Thomas SA, Komori T, Ralapanawa U, Cornelissen VA, Kapil V, Li Y, Zhang Y, Jafar TH, Khan N, Williams B, Stergiou G, Tomaszewski M. Lifestyle management of hypertension: International Society of Hypertension position paper endorsed by the World Hypertension League and European Society of Hypertension. J Hypertens 2024; 42:23-49. [PMID: 37712135 PMCID: PMC10713007 DOI: 10.1097/hjh.0000000000003563] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/12/2023] [Accepted: 08/22/2023] [Indexed: 09/16/2023]
Abstract
Hypertension, defined as persistently elevated systolic blood pressure (SBP) >140 mmHg and/or diastolic blood pressure (DBP) at least 90 mmHg (International Society of Hypertension guidelines), affects over 1.5 billion people worldwide. Hypertension is associated with increased risk of cardiovascular disease (CVD) events (e.g. coronary heart disease, heart failure and stroke) and death. An international panel of experts convened by the International Society of Hypertension College of Experts compiled lifestyle management recommendations as first-line strategy to prevent and control hypertension in adulthood. We also recommend that lifestyle changes be continued even when blood pressure-lowering medications are prescribed. Specific recommendations based on literature evidence are summarized with advice to start these measures early in life, including maintaining a healthy body weight, increased levels of different types of physical activity, healthy eating and drinking, avoidance and cessation of smoking and alcohol use, management of stress and sleep levels. We also discuss the relevance of specific approaches including consumption of sodium, potassium, sugar, fibre, coffee, tea, intermittent fasting as well as integrated strategies to implement these recommendations using, for example, behaviour change-related technologies and digital tools.
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Affiliation(s)
- Fadi J. Charchar
- Health Innovation and Transformation Centre, Federation University Australia, Ballarat, Australia
- Department of Physiology, University of Melbourne, Melbourne, Australia
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Priscilla R. Prestes
- Health Innovation and Transformation Centre, Federation University Australia, Ballarat, Australia
| | - Charlotte Mills
- Department of Food and Nutritional Sciences, University of Reading, Reading, UK
| | - Siew Mooi Ching
- Department of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang
- Department of Medical Sciences, School of Medical and Live Sciences, Sunway University, Bandar Sunway, Selangor, Malaysia
| | - Dinesh Neupane
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
| | - Francine Z. Marques
- Hypertension Research Laboratory, School of Biological Sciences, Monash University
- Heart Failure Research Group, Baker Heart and Diabetes Institute, Melbourne
| | - James E. Sharman
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Liffert Vogt
- Department of Internal Medicine, Section Nephrology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, Microcirculation, Amsterdam, The Netherlands
| | - Louise M. Burrell
- Department of Medicine, University of Melbourne, Austin Health, Melbourne, Australia
| | - Lyudmila Korostovtseva
- Department of Hypertension, Almazov National Medical Research Centre, St Petersburg, Russia
| | - Manja Zec
- School of Nutritional Sciences and Wellness, University of Arizona, Tucson, USA
- Colorado Program for Musculoskeletal Research, Department of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, USA
| | - Mansi Patil
- Department of Nutrition and Dietetics, Asha Kiran JHC Hospital, Chinchwad
- Hypertension and Nutrition, Core Group of IAPEN India, India
| | - Martin G. Schultz
- Department of Internal Medicine, Section Nephrology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, Microcirculation, Amsterdam, The Netherlands
| | | | - Nicolás F. Renna
- Unit of Hypertension, Hospital Español de Mendoza, School of Medicine, National University of Cuyo, IMBECU-CONICET, Mendoza, Argentina
| | | | - Swapnil Hiremath
- Department of Medicine, University of Ottawa and the Ottawa Hospital, Ottawa, Canada
| | - Tshewang Gyeltshen
- Graduate School of Public Health, St. Luke's International University, Tokyo, Japan
| | - Yook-Chin Chia
- Department of Medical Sciences, School of Medical and Life Sciences, Sunway University, Selangor
- Department of Primary Care Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Abhinav Gupta
- Department of Medicine, Acharya Shri Chander College of Medical Sciences and Hospital, Jammu, India
| | - Aletta E. Schutte
- School of Population Health, University of New South Wales, The George Institute for Global Health, Sydney, New South Wales, Australia
- Hypertension in Africa Research Team, SAMRC Unit for Hypertension and Cardiovascular Disease, North-West University
- SAMRC Developmental Pathways for Health Research Unit, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
| | - Britt Klein
- Health Innovation and Transformation Centre, Federation University Australia, Ballarat, Australia
| | - Claudio Borghi
- Department of Medical and Surgical Sciences, Faculty of Medicine, University of Bologna, Bologna, Italy
| | - Colette J. Browning
- Health Innovation and Transformation Centre, Federation University Australia, Ballarat, Australia
| | - Marta Czesnikiewicz-Guzik
- School of Medicine, Dentistry and Nursing-Dental School, University of Glasgow, UK
- Department of Periodontology, Prophylaxis and Oral Medicine; Jagiellonian University, Krakow, Poland
| | - Hae-Young Lee
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Hiroshi Itoh
- Department of Internal Medicine (Nephrology, Endocrinology and Metabolism), Keio University, Tokyo
| | - Katsuyuki Miura
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Mattias Brunström
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Norm R.C. Campbell
- Libin Cardiovascular Institute, Department of Medicine, University of Calgary, Calgary, Canada
| | | | - Praveen Veerabhadrappa
- Kinesiology, Division of Science, The Pennsylvania State University, Reading, Pennsylvania
| | - Richard D. Wainford
- Department of Pharmacology and Experimental Therapeutics, The Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston
- Division of Cardiology, Emory University, Atlanta, USA
| | - Ruan Kruger
- Hypertension in Africa Research Team (HART), North-West University, Potchefstroom
- MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa
| | - Shane A. Thomas
- Health Innovation and Transformation Centre, Federation University Australia, Ballarat, Australia
| | - Takahiro Komori
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Tochigi, Japan
| | - Udaya Ralapanawa
- Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka
| | | | - Vikas Kapil
- William Harvey Research Institute, Centre for Cardiovascular Medicine and Devices, NIHR Barts Biomedical Research Centre, BRC, Faculty of Medicine and Dentistry, Queen Mary University London
- Barts BP Centre of Excellence, Barts Heart Centre, Barts Health NHS Trust, London, UK
| | - Yan Li
- Department of Cardiovascular Medicine, Shanghai Institute of Hypertension, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai
| | - Yuqing Zhang
- Department of Cardiology, Fu Wai Hospital, Chinese Academy of Medical Sciences, Chinese Hypertension League, Beijing, China
| | - Tazeen H. Jafar
- Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore
- Duke Global Health Institute, Duke University, Durham, North Carolina, USA
| | - Nadia Khan
- Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Bryan Williams
- University College London (UCL), Institute of Cardiovascular Science, National Institute for Health Research (NIHR), UCL Hospitals Biomedical Research Centre, London, UK
| | - George Stergiou
- Hypertension Centre STRIDE-7, School of Medicine, Third Department of Medicine, Sotiria Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Maciej Tomaszewski
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester
- Manchester Academic Health Science Centre, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester, UK
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21
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Sun M, Li T, Sun Q, Ren X, Sun Z, Duan J. Associations of long-term particulate matter exposure with cardiometabolic diseases: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 903:166010. [PMID: 37541522 DOI: 10.1016/j.scitotenv.2023.166010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 07/03/2023] [Accepted: 08/01/2023] [Indexed: 08/06/2023]
Abstract
BACKGROUND This review aimed to establish a holistic perspective of long-term PM exposure and cardiometabolic diseases, identify long-term PM-related cardiovascular and metabolic risk factors, and provide practical significance to preventative measures. METHOD A combination of computer and manual retrieval was used to search for keywords in PubMed (2903 records), Embase (2791 records), Web of Science (5488 records) and Cochrane Library (163 records). Finally, a total of 82 articles were considered in this meta-analysis. Stata 13.0 was accustomed to inspecting the studies' heterogeneity and calculating the combined effect value (RR) by selecting the matching models. The subgroup analysis, sensitivity analysis and publication bias tests were also performed. RESULTS Meta-analysis figured an association between PM and cardiometabolic diseases. PM2.5 (per 10 μg/m3 increase) boosted the risk of hypertension (RR = 1.14, 95 % CI: 1.09-1.19), coronary heart disease (CHD) (RR = 1.21, 95 % CI: 1.08-1.35), diabetes (RR = 1.16, 95 % CI: 1.11-1.21) and stroke (including ischemic stroke and hemorrhagic stroke). PM10 (per 10 μg/m3 increase) elevated the incidence of hypertension (RR = 1.11, 95 % CI: 1.07-1.16) and diabetes (RR = 1.26, 95 % CI: 1.08-1.47). PM1 (per 10 μg/m3 increase) exposure increased the risk of total dyslipidemia, yielding the RR of 1.10 (95 % CI: 1.01-1.18). Furthermore, the elderly, overweight and higher background pollutant level were potentially susceptible to related diseases. CONCLUSION There was a virtual connection between long-term exposure to PM and cardiometabolic diseases. PM2.5 or PM10 (per 10 μg/m3) increased the risk of hypertension, CHD, diabetes, stroke and dyslipidemia, causing cardiovascular "multimorbidity" in high-risk populations.
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Affiliation(s)
- Mengqi Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Tianyu Li
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Qinglin Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Xiaoke Ren
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Junchao Duan
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China.
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22
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Guo LH, Zeeshan M, Huang GF, Chen DH, Xie M, Liu J, Dong GH. Influence of Air Pollution Exposures on Cardiometabolic Risk Factors: a Review. Curr Environ Health Rep 2023; 10:501-507. [PMID: 38030873 DOI: 10.1007/s40572-023-00423-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/20/2023] [Indexed: 12/01/2023]
Abstract
PURPOSE OF REVIEW The increasing prevalence of cardiometabolic risk factors (CRFs) contributes to the rise in cardiovascular disease. Previous research has established a connection between air pollution and both the development and severity of CRFs. Given the ongoing impact of air pollution on human health, this review aims to summarize the latest research findings and provide an overview of the relationship between different types of air pollutants and CRFs. RECENT FINDINGS CRFs include health conditions like diabetes, obesity, hypertension etc. Air pollution poses significant health risks and encompasses a wide range of pollutant types, air pollutants, such as particulate matter (PM), nitrogen dioxide (NO2), sulfur dioxide (SO2), and ozone (O2). More and more population epidemiological studies have shown a positive correlation between air pollution and CRFs. Although various pollutants have diverse effects on specific cellular molecular pathways, their main influence is on oxidative stress, inflammation response, and impairment of endothelial function. More and more studies have proved that air pollution can promote the occurrence and development of cardiovascular and metabolic risk factors, and the research on the relationship between air pollution and CRFs has grown intensively. An increasing number of studies are using new biological monitoring indicators to assess the occurrence and development of CRFs resulting from exposure to air pollution. Abnormalities in some important biomarkers in the population (such as homocysteine, uric acid, and C-reactive protein) caused by air pollution deserve more attention. Further research is warranted to more fully understand the link between air pollution and novel CRF biomarkers and to investigate potential prevention and interventions that leverage the mechanistic link between air pollution and CRFs.
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Affiliation(s)
- Li-Hao Guo
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2Nd Road, Yuexiu District, Guangzhou, 510080, China
| | - Mohammed Zeeshan
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2Nd Road, Yuexiu District, Guangzhou, 510080, China
| | - Guo-Feng Huang
- Guangdong Ecological Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, 510308, China
| | - Duo-Hong Chen
- Guangdong Ecological Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, 510308, China
| | - Min Xie
- Guangdong Ecological Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, 510308, China
| | - Jun Liu
- Guangdong Ecological Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, 510308, China
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2Nd Road, Yuexiu District, Guangzhou, 510080, China.
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23
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Wang L, Ren L, Wang Y, Ji Z, Zhu R, Sun Y, Li J, Zhang L. Effect of body mass index trajectory on hypertension among children and adolescents aged 5-18 years: a retrospective cohort study. Ann Med 2023; 55:2267572. [PMID: 37844207 PMCID: PMC10580793 DOI: 10.1080/07853890.2023.2267572] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 10/02/2023] [Indexed: 10/18/2023] Open
Abstract
BACKGROUND Hypertension has become increasingly prevalent in Chinese children and adolescents in recent decades, which affects growth and development of children, leads to cognitive decline and multiple target organ damage. Here, we assessed the impact of different body mass index (BMI) trajectories on the occurrence of hypertension in children and adolescents using a cohort study in Northeast China. MATERIALS AND METHODS Children and adolescents aged 5-18 years was extracted for physical examination in Fuxin City, Liaoning Province, China during the 2009-2015 period. A latent category growth mixed model (LCGMM) was used to classify BMI changes and analyze the effect of different BMI trajectories on the risk of occurrence of hypertension in these participants within 5 years. RESULTS All participates were divided into five BMI trajectories by LCGMM method: slow increasing group (n = 2616, 30.8%), overweight and obesity (OW/OB) group (n = 1141, 13.4%), normal decreasing group (n = 232, 2.7%), stable normal group (n = 4383, 51.6%), and fast-increasing group (n = 120, 1.4%). Compared with the stable normal group, the slow increasing group [adjusted odds ratio (AOR): 1.610, 95% confidence interval (CI): 1.304-1.989], the OW/OB group (AOR: 3.172, 95% CI: 2.500-4.023) and the fast-increasing group (AOR: 2.708, 95% CI: 1.445-5.074) all increased the risk of developing hypertension in children and adolescents. CONCLUSION The potential of developing hypertension varies among groups of children aged 5-18 with different BMI trajectories. Children and adolescents in the normal BMI range (the slow growth group) still need to be aware of the change in BMI trajectory to stop or slow down the progression of BP abnormalities.
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Affiliation(s)
- Lu Wang
- Clinical Center for Intelligent Rehabilitation Research, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Longbing Ren
- Clinical Center for Intelligent Rehabilitation Research, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Yuzhu Wang
- Clinical Center for Intelligent Rehabilitation Research, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Zixiang Ji
- Clinical Center for Intelligent Rehabilitation Research, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Rongyu Zhu
- Clinical Center for Intelligent Rehabilitation Research, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Yingxian Sun
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Jue Li
- Clinical Center for Intelligent Rehabilitation Research, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Lijuan Zhang
- Clinical Center for Intelligent Rehabilitation Research, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Tongji University, Shanghai, China
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24
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Hu S, Xu X, Li C, Zhang L, Xing X, He J, Guo P, Zhang J, Niu Y, Chen S, Zhang R, Liu F, Ma S, Zhang M, Guo F, Zhang M. Long-term exposure to ambient ozone at workplace is positively and non-linearly associated with incident hypertension and blood pressure: longitudinal evidence from the Beijing-Tianjin-Hebei medical examination cohort. BMC Public Health 2023; 23:2011. [PMID: 37845647 PMCID: PMC10577958 DOI: 10.1186/s12889-023-16932-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 10/07/2023] [Indexed: 10/18/2023] Open
Abstract
BACKGROUND There is limited longitudinal evidence on the hypertensive effects of long-term exposure to ambient O3. We investigated the association between long-term O3 exposure at workplace and incident hypertension, diastolic blood pressure (DBP), systolic blood pressure (SBP), pulse pressure (PP), and mean arterial pressure (MAP) in general working adults. METHODS We conducted a cohort study by recruiting over 30,000 medical examination attendees through multistage stratified cluster sampling. Participants completed a standard questionnaire and comprehensive medical examination. Three-year ambient O3 concentrations at each employed participant's workplace were estimated using a two-stage machine learning model. Mixed-effects Cox proportional hazards models and linear mixed-effects models were used to examine the effect of O3 concentrations on incident hypertension and blood pressure parameters, respectively. Generalized additive mixed models were used to explore non-linear concentration-response relationships. RESULTS A total of 16,630 hypertension-free working participants at baseline finished the follow-up. The mean (SD) O3 exposure was 45.26 (2.70) ppb. The cumulative incidence of hypertension was 7.11 (95% CI: 6.76, 7.47) per 100 person-years. Long-term O3 exposure was independently, positively and non-linearly associated with incident hypertension (Hazard ratios (95% CI) for Q2, Q3, and Q4 were 1.77 (1.34, 2.36), 2.06 (1.42, 3.00) and 3.43 (2.46, 4.79), respectively, as compared with the first quartile (Q1)), DBP (β (95% CI) was 0.65 (0.01, 1.30) for Q2, as compared to Q1), SBP (β (95% CI) was 2.88 (2.00, 3.77), 2.49 (1.36, 3.61) and 2.61 (1.64, 3.58) for Q2, Q3, and Q4, respectively), PP (β (95% CI) was 2.12 (1.36, 2.87), 2.03 (1.18, 2.87) and 2.14 (1.38, 2.90) for Q2, Q3, and Q4, respectively), and MAP (β (95% CI) was 1.39 (0.76, 2.02), 1.04 (0.24, 1.84) and 1.12 (0.43, 1.82) for Q2, Q3, and Q4, respectively). The associations were robust across sex, age, BMI, and when considering PM2.5 and NO2. CONCLUSIONS To our knowledge, this is the first cohort study in the general population that demonstrates the non-linear hypertensive effects of long-term O3 exposure. The findings are particularly relevant for policymakers and researchers involved in ambient pollution and public health, supporting the integration of reduction of ambient O3 into public health interventions.
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Affiliation(s)
- Songhua Hu
- School of Statistics and Data Science, Nankai University, Tianjin, China
- Big Data Center for Children's Medical Care, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
| | - Ximing Xu
- Big Data Center for Children's Medical Care, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
| | - Chunjun Li
- Tianjin Union Medical Center, Tianjin, China
| | - Li Zhang
- Tianjin First Central Hospital, Tianjin, China
| | - Xiaolong Xing
- School of Medicine, Nankai University, Tianjin, China
| | - Jiangshan He
- School of Medicine, Nankai University, Tianjin, China
| | - Pei Guo
- School of Medicine, Nankai University, Tianjin, China
| | - Jingbo Zhang
- Beijing Physical Examination Center, Beijing, China
| | - Yujie Niu
- Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, China
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang, China
| | - Shuo Chen
- Beijing Physical Examination Center, Beijing, China
| | - Rong Zhang
- Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, China
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang, China
| | - Feng Liu
- Beijing Physical Examination Center, Beijing, China
| | - Shitao Ma
- Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, China
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang, China
| | - Mianzhi Zhang
- Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
- Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, China
| | - Fenghua Guo
- School of Medicine, Nankai University, Tianjin, China
| | - Minying Zhang
- School of Medicine, Nankai University, Tianjin, China.
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Li J, Dai L, Deng X, Zhang J, Song C, Xu J, Wang A, Xiong Z, Shan Y, Huang X. Association between long-term exposure to low level air pollutants and incident end-stage kidney disease in the UK Biobank: A prospective cohort. CHEMOSPHERE 2023; 338:139470. [PMID: 37437622 DOI: 10.1016/j.chemosphere.2023.139470] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 05/22/2023] [Accepted: 07/09/2023] [Indexed: 07/14/2023]
Abstract
BACKGROUND Previous studies suggest that air pollution can increase the risk of incident chronic kidney disease (CKD). However, the association between end-stage kidney disease (ESKD) and co-exposure to relatively low-level air pollutants remains unclear. METHODS A prospective cohort was designed based on UK Biobank. From 1 January 2010 to 12 November 2021, 453,347 participants were followed up over a median of 11.87 years. Principal component analysis was used to identify major patterns of five air pollutants, including PM2.5, PM2.5-10, PM10, NO2, and NOx. Sub-distribution hazards models were used to estimate the associations between air pollution, individually or jointly, and incident ESKD, CKD, and all-cause death, respectively. RESULTS Principal component analysis identified two principal components, namely RC1 (PM2.5, NO2, and NOx) and RC2 (PM2.5-10 and PM10). An elevated risk of incident ESKD was associated with an interquartile range (IQR) increase in PM2.5 (hazard ratio: 1.11, 95% confidence interval: 1.02-1.22), NO2 (1.16, 1.04-1.30), NOx (1.08, 1.00-1.17), and RC1 (1.12, 1.02-1.23). An elevated risk of incident CKD was associated with an IQR increase in PM2.5 (1.05, 1.03-1.07), NO2 (1.04, 1.02-1.06), NOx (1.03, 1.02-1.05), and RC1 (1.04, 1.02-1.06). An increased risk of all-cause mortality was associated with an IQR increase in PM2.5 (1.02, 1.00-1.04). Restricted cubic spline analyses indicated a monotonic elevating association of PM2.5, NO2, NOx, and RC1 with ESKD incidence. CONCLUSIONS Long-term exposure to PM2.5, NO2, NOx, and their complex was associated with elevated ESKD incidence, even at relatively lower levels of air pollution.
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Affiliation(s)
- Jing Li
- Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China; Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Liang Dai
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China
| | - Xiaowei Deng
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Jingwen Zhang
- Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China
| | - Congying Song
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China
| | - Junjie Xu
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China
| | - Anxin Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zuying Xiong
- Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China
| | - Ying Shan
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China.
| | - Xiaoyan Huang
- Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China; Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China.
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Zhang Y, Xia Y, Chang Q, Ji C, Zhao Y, Zhang H. Exposure to ambient air pollution and metabolic kidney diseases: evidence from the Northeast China Biobank. Nephrol Dial Transplant 2023; 38:2222-2231. [PMID: 36866507 DOI: 10.1093/ndt/gfad042] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Indexed: 03/04/2023] Open
Abstract
BACKGROUND At present, there is no epidemiological evidence of the association between metabolic kidney diseases (MKD) and exposure to air pollution. METHODS We investigated the association between exposure to long-term air pollution and the risk of developing MKD using samples from the Northeast China Biobank. RESULTS Data from 29 191 participants were analyzed. MKD prevalence was 3.23%. Every standard deviation increment in PM2.5 increased the risk of MKD [odds ratio (OR) = 1.37, 95% confidence interval (CI) 1.19-1.58), diabetic kidney disease (DKD) (OR = 2.03, 95% CI 1.52-2.73), hypertensive kidney disease (BKD) (OR = 1.31, 95% CI 1.11-1.56), hyperlipidemic kidney disease (PKD) (OR = 1.39, 95% CI 1.19-1.63) and obese kidney disease (OKD) (OR = 1.34, 95% CI 1.00-1.81). PM10 increased the risk of MKD (OR = 1.42, 95% CI 1.20-1.67), DKD (OR = 1.38, 95% CI 1.03-1.85), BKD (OR = 1.30, 95% CI 1.07-1.58) and PKD (OR = 1.50, 95% CI 1.26-1.80). Sulfur dioxide increased the risk of MKD (OR = 1.57, 95% CI 1.34-1.85), DKD (OR = 1.81, 95% CI 1.36-2.40), BKD (OR = 1.44, 95% CI 1.19-1.74) and PKD (OR = 1.72, 95% CI 1.44-2.04). Ozone decreased the risk of PKD (OR = 0.83, 95% CI 0.70-0.99). Age, ethnicity and air pollution interacted to affect the risk of MKD, BKD and PKD. Associations between air pollution and CKD or metabolic disease were weaker than those with MKD. The association between air pollution and MKD became stronger when compared with participants with non-metabolic disease. CONCLUSIONS Air pollution may cause MKD or facilitate the progression from metabolic disease to renal failure.
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Affiliation(s)
- Yixiao Zhang
- Department of Urology Surgery, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yang Xia
- Department of Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qing Chang
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical Universtiy, Shenyang, China
| | - Chao Ji
- Department of Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yuhong Zhao
- Department of Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical Universtiy, Shenyang, China
| | - Hehua Zhang
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical Universtiy, Shenyang, China
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Jin Y, Chi J, LoMonaco K, Boon A, Gu H. Recent Review on Selected Xenobiotics and Their Impacts on Gut Microbiome and Metabolome. Trends Analyt Chem 2023; 166:117155. [PMID: 37484879 PMCID: PMC10361410 DOI: 10.1016/j.trac.2023.117155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
As it is well known, the gut is one of the primary sites in any host for xenobiotics, and the many microbial metabolites responsible for the interactions between the gut microbiome and the host. However, there is a growing concern about the negative impacts on human health induced by toxic xenobiotics. Metabolomics, broadly including lipidomics, is an emerging approach to studying thousands of metabolites in parallel. In this review, we summarized recent advancements in mass spectrometry (MS) technologies in metabolomics. In addition, we reviewed recent applications of MS-based metabolomics for the investigation of toxic effects of xenobiotics on microbial and host metabolism. It was demonstrated that metabolomics, gut microbiome profiling, and their combination have a high potential to identify metabolic and microbial markers of xenobiotic exposure and determine its mechanism. Further, there is increasing evidence supporting that reprogramming the gut microbiome could be a promising approach to the intervention of xenobiotic toxicity.
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Affiliation(s)
- Yan Jin
- Center for Translational Science, Florida International University, Port St. Lucie, FL 34987, USA
| | - Jinhua Chi
- Center for Translational Science, Florida International University, Port St. Lucie, FL 34987, USA
| | - Kaelene LoMonaco
- Center for Translational Science, Florida International University, Port St. Lucie, FL 34987, USA
| | - Alexandria Boon
- Center for Translational Science, Florida International University, Port St. Lucie, FL 34987, USA
| | - Haiwei Gu
- Center for Translational Science, Florida International University, Port St. Lucie, FL 34987, USA
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Ulusoy Ş, Özkan G, Varol G, Erdem Y, Derici Ü, Yılmaz R, Müge Değer S, Arınsoy T, Akpolat T. The Effect of Ambient Air Pollution on Office, Home, and 24-Hour Ambulatory Blood Pressure Measurements. Am J Hypertens 2023; 36:431-438. [PMID: 37058613 DOI: 10.1093/ajh/hpad033] [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: 01/12/2023] [Revised: 02/26/2023] [Accepted: 04/12/2023] [Indexed: 04/16/2023] Open
Abstract
BACKGROUND Air pollution has recently been linked to a number of cardiovascular diseases, particularly hypertension (HT). In our study, we aimed to evaluate the association between air pollution and blood pressure (BP) and compare the relationship of BP measurement results obtained using different methods (office, home, and 24-hour ambulatory BP monitoring [ABPM]). METHODS This retrospective nested panel study performed with prospective Cappadocia cohort data investigated the relationships between particulate matter (PM) 10 and sulfur dioxide (SO2) and concurrent home, office, and 24-hour ABPM data at each control performed over a 2-year period. RESULTS A total of 327 patients in the Cappadocia cohort were included in this study. On the day of office blood pressure measurement, there was an increase of 1.36 mm Hg in systolic BP and 1.18 mm Hg in diastolic BP for every 10 µm/m3 rise in SO2 values. A mean 3-day 10 µm/m3 increase in SO2 was linked to an increase of 1.60 mm Hg in systolic BP and 1.33 mm Hg in diastolic BP. A 10 µm/m3 rise in mean SO2 on the day of 24-hour ABPM measurement was found to be associated with an increase of 1.3 mm Hg in systolic BP and 0.8 mm Hg in diastolic BP. SO2 and PM 10 had no effect on home measurements. CONCLUSION In conclusion, increased SO2 levels, during winter months in particular, can be associated with an elevation in office BP values. Our study findings show that air pollution in the setting in which BP is measured may be associated with the results.
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Affiliation(s)
- Şükrü Ulusoy
- Department of Nephrology, School of Medicine, Karadeniz Technical University, Trabzon, Turkey
| | - Gülsüm Özkan
- Department of Nephrology, School of Medicine, Tekirdağ Namık Kemal University, Tekirdağ, Turkey
| | - Gamze Varol
- Department of Public Health, School of Medicine, Tekirdağ Namık Kemal University, Tekirdağ, Turkey
| | - Yunus Erdem
- Department of Nephrology, School of Medicine, Hacettepe University, Ankara, Turkey
| | - Ülver Derici
- Department of Nephrology, School of Medicine, Gazi University, Ankara, Turkey
| | - Rahmi Yılmaz
- Department of Nephrology, School of Medicine, Hacettepe University, Ankara, Turkey
| | - Serpil Müge Değer
- Department of Nephrology, School of Medicine, Dokuz Eylül University, İzmir, Turkey
| | - Turgay Arınsoy
- Department of Nephrology, School of Medicine, Gazi University, Ankara, Turkey
| | - T Akpolat
- Department of Nephrology, Istinye University Liv Hospital, Istanbul, Turkey
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29
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Cai H, Du Z, Lin X, Lawrence WR, Hopke PK, Rich DQ, Lin S, Xiao J, Deng X, Qu Y, Lin Z, Wang X, Ju X, Chen S, Zhang Y, Wu W, Wang Y, Gu J, Hao Y, Zhang W. Interactions between long-term ambient particle exposures and lifestyle on the prevalence of hypertension and diabetes: insight from a large community-based survey. J Epidemiol Community Health 2023; 77:440-446. [PMID: 37094940 PMCID: PMC10330163 DOI: 10.1136/jech-2023-220480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 04/01/2023] [Indexed: 04/26/2023]
Abstract
INTRODUCTION Evidence on the interaction of lifestyle and long-term ambient particle (PM) exposure on the prevalence of hypertension, diabetes, particularly their combined condition is limited. We investigate the associations between PM and these outcomes and whether the associations were modified by various lifestyles. METHODS This was a large population-based survey during 2019-2021 in Southern China. The concentrations of PM were interpolated and assigned to participants by the residential address. Hypertension and diabetes status were from questionnaires and confirmed with the community health centres. Logistic regression was applied to examine the associations, followed by a comprehensive set of stratified analyses by the lifestyles including diet, smoking, drinking, sleeping and exercise. RESULTS A total of 82 345 residents were included in the final analyses. For each 1 μg/m3 increase in PM2.5, the adjusted OR for the prevalence of hypertension, diabetes and their combined condition were 1.05 (95% CI 1.05 to 1.06), 1.07 (95% CI 1.06 to 1.08) and 1.05 (95% CI 1.04 to 1.06), respectively. We observed that the association between PM2.5 and the combined condition was greatest in the group with 4-8 unhealthy lifestyles (OR=1.09, 95% CI 1.06 to 1.13) followed by the group with 2-3 and those with 0-1 unhealthy lifestyle (P interaction=0.026). Similar results and trends were observed in PM10 and/or in those with hypertension or diabetes. Individuals who consumed alcohol, had inadequate sleep duration or had poor quality sleep were more vulnerable. CONCLUSION Long-term PM exposure was associated with increased prevalence of hypertension, diabetes and their combined condition, and those with unhealthy lifestyles suffered greater risks of these conditions.
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Affiliation(s)
- Huanle Cai
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Zhicheng Du
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Xiao Lin
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Wayne R Lawrence
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Philip K Hopke
- Institute for a Sustainable Environment, Clarkson University, Potsdam, New York, USA
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - David Q Rich
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Shao Lin
- Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, New York, USA
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Xinlei Deng
- Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, New York, USA
| | - Yanji Qu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangzhou, Guangdong, China
| | - Ziqiang Lin
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, China
| | - Xinran Wang
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Xu Ju
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Shirui Chen
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Yuqin Zhang
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Wenjing Wu
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Ying Wang
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Jing Gu
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Yuantao Hao
- Peking University Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China
| | - Wangjian Zhang
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
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Hahad O, Rajagopalan S, Lelieveld J, Sørensen M, Frenis K, Daiber A, Basner M, Nieuwenhuijsen M, Brook RD, Münzel T. Noise and Air Pollution as Risk Factors for Hypertension: Part I-Epidemiology. Hypertension 2023; 80:1375-1383. [PMID: 37073726 PMCID: PMC10330192 DOI: 10.1161/hypertensionaha.122.18732] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/20/2023]
Abstract
Traffic noise and air pollution are 2 major environmental health risk factors in urbanized societies that often occur together. Despite cooccurrence in urban settings, noise and air pollution have generally been studied independently, with many studies reporting a consistent effect on blood pressure for individual exposures. In the present reviews, we will discuss the epidemiology of air pollution and noise effects on arterial hypertension and cardiovascular disease (part I) and the underlying pathophysiology (part II). Both environmental stressors have been found to cause endothelial dysfunction, oxidative stress, vascular inflammation, circadian dysfunction, and activation of the autonomic nervous system, thereby facilitating the development of hypertension. We also discuss the effects of interventions, current gaps in knowledge, and future research tasks. From a societal and policy perspective, the health effects of both air pollution and traffic noise are observed well below the current guideline recommendations. To this end, an important goal for the future is to increase the acceptance of environmental risk factors as important modifiable cardiovascular risk factors, given their substantial impact on the burden of cardiovascular disease.
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Affiliation(s)
- Omar Hahad
- Department of Cardiology – Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), partner site Rhine-Main, Mainz, Germany
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
| | - Sanjay Rajagopalan
- Harrington Heart and Vascular Institute, University Hospitals and Case Western Reserve University, Cleveland, OH, USA
| | - Jos Lelieveld
- Atmospheric Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany
| | - Mette Sørensen
- Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Katie Frenis
- Boston Children’s Hospital and Harvard Medical School, Hematology/Oncology, Boston, MA, USA
| | - Andreas Daiber
- Department of Cardiology – Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), partner site Rhine-Main, Mainz, Germany
| | - Mathias Basner
- Department of Psychiatry, Unit for Experimental Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mark Nieuwenhuijsen
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiologıa y Salud Publica (CIBERESP), Madrid, Spain
- Center for Urban Research, RMIT University, Melbourne VIC, Australia
| | - Robert D. Brook
- Division of Cardiovascular Diseases, Department of Internal Medicine, Wayne State University, Detroit, MI, USA
| | - Thomas Münzel
- Department of Cardiology – Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), partner site Rhine-Main, Mainz, Germany
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31
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de Almeida AEM, Stein R. The Environment and the Heart. Arq Bras Cardiol 2023; 120:e20230119. [PMID: 37466623 PMCID: PMC10365009 DOI: 10.36660/abc.20230119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2023] Open
Affiliation(s)
| | - Ricardo Stein
- Universidade Federal do Rio Grande do SulPorto AlegreRSBrasilUniversidade Federal do Rio Grande do Sul, Porto Alegre, RS – Brasil
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Zhang Y, Chen S, Chen L, Wu Y, Wei J, Ma T, Chen M, Ma Q, Liu J, Wang X, Xing Y, Wu L, Li W, Liu X, Guo X, Ma J, Dong Y, Zhang J. Association of SO 2/CO exposure and greenness with high blood pressure in children and adolescents: A longitudinal study in China. Front Public Health 2023; 11:1097510. [PMID: 37304113 PMCID: PMC10248062 DOI: 10.3389/fpubh.2023.1097510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 02/06/2023] [Indexed: 06/13/2023] Open
Abstract
Introduction We aimed to investigate the association between greenness around schools, long-term gaseous air pollution exposure (SO2 and CO), and blood pressure in children and adolescents. Methods From 2006 to 2018, a total of 219,956 Chinese children and adolescents aged 7-17 years in Beijing and Zhongshan were included in this longitudinal study. Annual average concentrations of SO2 and CO and the mean values of normalized difference vegetation index around schools were calculated. We used the generalized estimation equation model, restricted cubic spline model, and Cox model to analyze the health effects. Results Among all the subjects, 52,515 had the first onset of HBP. During the follow-up, HBP's cumulative incidence and incidence density were 23.88% and 7.72 per 100 person-year respectively. Exposures to SO2 and CO were significantly associated with SBP [β = 1.30, 95% CI: (1.26, 1.34) and 0.78 (0.75, 0.81)], DBP [β = 0.81 (0.79, 0.84) and 0.46 (0.44, 0.48)] and HBP [HR = 1.58 (1.57, 1.60) and 1.42 (1.41, 1.43)]. The risks of HBP attributed to SO2 and CO pollution would be higher in school-aged children in the low greenness group: the attributable fractions (AFs) were 26.31% and 20.04%, but only 13.90% and 17.81% in the higher greenness group. The AFs were also higher for normal-BMI children and adolescents in the low greenness group (AFs = 30.90% and 22.64%, but 14.41% and 18.65% in the high greenness group), while the AFs were not as high as expected for obese children in the low greenness group (AFs = 10.64% and 8.61%), nor was it significantly lower in the high greenness group (AFs = 9.60% and 10.72%). Discussion Greenness could alleviate the damage effects of SO2/CO exposure on the risks of HBP among children and adolescents, and the benefit is BMI sensitivity. It might offer insights for policymakers in making effective official interventions to prevent and control the prevalence of childhood HBP and the future disease burden caused by air pollution.
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Affiliation(s)
- Yi Zhang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Shuo Chen
- Beijing Physical Examination Center, Beijing, China
| | - Li Chen
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Yu Wu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States
| | - Tao Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Manman Chen
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Qi Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Jieyu Liu
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Xinxin Wang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, China
| | - Yi Xing
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Lijuan Wu
- Department of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Weiming Li
- Department of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xiangtong Liu
- Department of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xiuhua Guo
- Department of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Yanhui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Jingbo Zhang
- Beijing Physical Examination Center, Beijing, China
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Lv S, Li Z, Li H, Liu M, Wu Z, Yu S, Wu B, Gao B, Tao L, Luo Y, Li X, Guo X, Liu X. Long-term effects of PM 2.5 components on hypertension: A national analysis in China. ENVIRONMENTAL RESEARCH 2023; 222:115323. [PMID: 36681144 DOI: 10.1016/j.envres.2023.115323] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 01/08/2023] [Accepted: 01/16/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Evidence is less about the associations between fine particulate matter (PM2.5) components and hypertension. We aimed to examine the long-term effects of PM2.5 components on prevalence of hypertension, diastolic blood pressure (DBP) and systolic blood pressure (SBP). METHODS We included participants between March 1, and July 31, 2021, from 13 provinces in China. Geocoded residential address was used for exposure assignment. Mixed-effect regression was used to assess 3-year average concentrations of PM2.5 and its components (black carbon, organic matter, nitrate, ammonium, and sulfate) on prevalence of hypertension, DBP and SBP with covariate-adjusted. SHapley Additive exPlanation was used to compare the contribution of PM2.5 components to hypertension, DBP, and SBP. Sex and age subgroup were also analyzed. RESULTS We enrolled a total of 113,159 participants aged ≥18 years. Long-term exposure to PM2.5 and its components (black carbon, organic matter, nitrate, ammonium, and sulfate) had associations with prevalence of hypertension, with the Odds Ratios and 95% confidence interval (CI) of 1.06 (95%CI: 1.03-1.09), 1.07 (95%CI: 1.04-1.09), 1.07 (95%CI: 1.04-1.10), 1.05 (95%CI: 1.01-1.08), 1.03 (95%CI: 1.00-1.06), and 1.03 (95%CI: 1.00-1.04), respectively. Effects of that except for black carbon on DBP with per interquartile upticks of concentration were 0.23 (95%CI: 0.11-0.35), 0.17 (95%CI: 0.04-0.29), 0.35 (95%CI: 0.21-0.48), 0.40 (95%CI: 0.28-0.52), and 0.25 (95%CI: 0.13-0.26), respectively. Ammonium was associated with SBP, corresponding to an increase of 0.18 (95%CI: 0.01-0.35). Males had higher risks of DBP (Z = 2.54-6.08, P < 0.001). Older people were substantially more affected by PM2.5 and its components. Nitrate showed the highest contribution to hypertension, DBP and SBP compared with other components. CONCLUSIONS Long-term exposure to PM2.5 and its components had adverse consequences on prevalence of hypertension, DBP and SBP, especially for males and older people. Nitrate contributed the highest to hypertension, DBP and SBP. Findings may have implications for pollution and hypertension control.
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Affiliation(s)
- Shiyun Lv
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Zhiwei Li
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Haibin Li
- Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Mengmeng Liu
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China; National Institute for Data Science in Health and Medicine, Capital Medical University, Beijing, China
| | - Zhiyuan Wu
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Siqi Yu
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Binqiang Wu
- School of Public Health, Capital Medical University, Beijing, China
| | - Bo Gao
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Lixin Tao
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yanxia Luo
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Melbourne, Australia
| | - Xiuhua Guo
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China; National Institute for Data Science in Health and Medicine, Capital Medical University, Beijing, China.
| | - Xiangtong Liu
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
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Li Z, Lu F, Liu M, Guo M, Tao L, Wang T, Liu M, Guo X, Liu X. Short-Term Effects of Carbon Monoxide on Morbidity of Chronic Obstructive Pulmonary Disease With Comorbidities in Beijing. GEOHEALTH 2023; 7:e2022GH000734. [PMID: 36992869 PMCID: PMC10042128 DOI: 10.1029/2022gh000734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 02/26/2023] [Accepted: 03/03/2023] [Indexed: 06/19/2023]
Abstract
The association between CO and chronic obstructive pulmonary disease (COPD) has been widely reported; however, the association among patients with type 2 diabetes mellitus (T2DM) or hypertension has remained largely unknown in China. Over-dispersed generalized additive model was adopted to quantity the associations between CO and COPD with T2DM or hypertension. Based on principal diagnosis, COPD cases were identified according to the International Classification of Diseases (J44), and a history of T2DM and hypertension was coded as E12 and I10-15, O10-15, P29, respectively. A total of 459,258 COPD cases were recorded from 2014 to 2019. Each interquartile range uptick in CO at lag 03 corresponded to 0.21% (95%CI: 0.08%-0.34%), 0.39% (95%CI: 0.13%-0.65%), 0.29% (95%CI: 0.13%-0.45%) and 0.27% (95%CI: 0.12%-0.43%) increment in admissions for COPD, COPD with T2DM, COPD with hypertension and COPD with both T2DM and hypertension, respectively. The effects of CO on COPD with T2DM (Z = 0.77, P = 0.444), COPD with hypertension (Z = 0.19, P = 0.234) and COPD with T2DM and hypertension (Z = 0.61, P = 0.543) were insignificantly higher than that on COPD. Stratification analysis showed that females were more vulnerable than males except for T2DM group (COPD: Z = 3.49, P < 0.001; COPD with T2DM: Z = 0.176, P = 0.079; COPD with hypertension: Z = 2.48, P = 0.013; COPD with both T2DM and hypertension: Z = 2.44, P = 0.014); No statistically significant difference could be found between age groups (COPD: Z = 1.63, P = 0.104; COPD with T2DM: Z = 0.23, P = 0.821; COPD with hypertension: Z = 0.53, P = 0.595; COPD with both T2DM and hypertension: Z = 0.71, P = 0.476); Higher effects appeared in cold seasons than warm seasons on COPD (Z = 0.320, P < 0.001). This study demonstrated an increased risk of COPD with comorbidities related to CO exposure in Beijing. We further provided important information on lag patterns, susceptible subgroups, and sensitive seasons, as well as the characteristics of the exposure-response curves.
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Affiliation(s)
- Zhiwei Li
- School of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
| | - Feng Lu
- Beijing Municipal Health Commission Information CentreBeijingChina
| | - Mengmeng Liu
- School of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
- National Institute for Data Science in Health and MedicineCapital Medical UniversityBeijingChina
| | - Moning Guo
- Beijing Municipal Health Commission Information CentreBeijingChina
| | - Lixin Tao
- School of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
| | - Tianqi Wang
- Beijing Municipal Health Commission Information CentreBeijingChina
| | - Mengyang Liu
- School of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
- School of Public HealthHebei Medical UniversityShijiazhuangChina
| | - Xiuhua Guo
- School of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
- National Institute for Data Science in Health and MedicineCapital Medical UniversityBeijingChina
- Centre for Precision HealthSchool of Medical and Health SciencesEdith Cowan UniversityWAJoondalupAustralia
| | - Xiangtong Liu
- School of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
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35
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Roswall N, Poulsen AH, Hvidtfeldt UA, Hendriksen PF, Boll K, Halkjær J, Ketzel M, Brandt J, Frohn LM, Christensen JH, Im U, Sørensen M, Raaschou-Nielsen O. Exposure to ambient air pollution and lipid levels and blood pressure in an adult, Danish cohort. ENVIRONMENTAL RESEARCH 2023; 220:115179. [PMID: 36584852 DOI: 10.1016/j.envres.2022.115179] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/16/2022] [Accepted: 12/27/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Air pollution is a well-recognized risk factor for cardiovascular disease. However, the mechanistic pathways underlying the association are not completely understood. Hence, further studies are required to shed light on potential mechanisms, through which air pollution may affect the development from subclinical to clinical cardiovascular disease. OBJECTIVES To investigate associations between short-term exposure to air pollution and high-density lipoprotein (HDL), non-high density lipoprotein (non-HDL), systolic and diastolic blood pressure. METHODS The study was conducted among 32,851 Danes from the Diet, Cancer and Health - Next Generations cohort, who had a blood sample taken and blood pressure measured. We measured HDL and non-HDL in the blood samples. We modelled exposure to fine particulate matter (PM2.5), ultrafine particles (UFP), elemental carbon (EC) and nitrogen dioxide (NO2) in time-windows from 24 h up to 90 days before blood sampling. Pollutants were modelled as total air pollution from all sources, and apportioned into contributions from non-traffic and traffic sources. We analyzed data using linear and logistic regression, with adjustment for socio-economic and lifestyle factors. RESULTS Air pollution exposure over 24 h to 30 days was generally adversely associated with lipid profile and blood pressure, e.g. for 30-day UFP-exposure, adjusted β-estimates were: -0.025 (-0.043; -0.006) for HDL, 0.086 (0.042; 0.130) for non-HDL, 2.45 (1.70; 3.11) for systolic and 1.56 (1.07; 20.4) for diastolic blood pressure, per 10,000 particles/cm3. The strongest associations were found for the non-traffic components of air pollution, and among those who were overweight/obese. DISCUSSION In this large study of air pollution and lipid levels and blood pressure, we found that 24-h to 30-day PM2.5, UFP, EC and NO2 concentrations were generally adversely associated with lipid profile and blood pressure, two important cardiovascular risk factors. The study suggests potential pathways, through which air pollution could affect the development of cardiovascular disease.
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Affiliation(s)
- Nina Roswall
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark.
| | - Aslak Harbo Poulsen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | | | | | - Katja Boll
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Jytte Halkjær
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, University of Surrey, Guildford, UK
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; IClimate - Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Lise Marie Frohn
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; IClimate - Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | | | - Ulas Im
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Mette Sørensen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark
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36
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Ruiz-Páez R, Díaz J, López-Bueno JA, Asensio C, Ascaso MS, Saez M, Luna MY, Barceló MA, Navas MA, Linares C. Short-term effects of air pollution and noise on emergency hospital admissions in Madrid and economic assessment. ENVIRONMENTAL RESEARCH 2023; 219:115147. [PMID: 36580986 DOI: 10.1016/j.envres.2022.115147] [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: 10/21/2022] [Revised: 12/07/2022] [Accepted: 12/22/2022] [Indexed: 06/17/2023]
Abstract
INTRODUCTION The aim of this study was to study the effect of air pollution and noise has on the population in Madrid Community (MAR) in the period 2013-2018, and its economic impact. METHODS Time series study analysing emergency hospital admissions in the MAR due to all causes (ICD-10: A00-R99), respiratory causes (ICD-10: J00-J99) and circulatory causes (ICD-10: I00-I99) across the period 2013-2018. The main independent variables were mean daily PM2.5, PM10, NO2, 8-h ozone concentrations, and noise. We controlled for meteorological variables, Public Holidays, seasonality, and the trend and autoregressive nature of the series, and fitted generalised linear models with a Poisson regression link to ascertain the relative risks and attributable risks. In addition, we made an economic assessment of these hospitalisations. RESULTS The following associations were found: NO2 with admissions due to natural (RR: 1.007, 95% CI: 1.004-1.011) and respiratory causes (RR: 1.012, 95% CI: 1.005-1.019); 8-h ozone with admissions due to natural (RR: 1.049, 95% CI: 1.014-1.046) and circulatory causes (RR: 1.088, 95% CI: 1.039-1.140); and diurnal noise (LAeq7-23h) with admissions due to natural (RR: 1.001, 95% CI: 1.001-1.002), respiratory (RR: 1.002, 95% CI: 1.001-1.003) and circulatory causes (RR: 1.003, 95% CI: 1.002-1.005). Every year, a total of 8246 (95% CI: 4580-11,905) natural-cause admissions are attributable to NO2, with an estimated cost of close on €120 million and 5685 (95% CI: 2533-8835) attributed to LAeq7-23h with an estimated cost of close on €82 million. CONCLUSIONS Nitrogen dioxide, ozone and noise are the main pollutants to which a large number of hospitalisations in the MAR are attributed, and are thus responsible for a marked deterioration in population health and high related economic impact.
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Affiliation(s)
| | - J Díaz
- Climate Change, Health and Urban Environment Reference Unit, Carlos III Institute of Health (Instituto de Salud Carlos III/ISCIII), Madrid, Spain.
| | | | - C Asensio
- Universidad Politéctnica de Madrid. Grupo de Investigación en Instrumentación y Acústica Aplicada, Ctra. Valencia Km 7, Campus sur, 28031, Madrid, Spain
| | - M S Ascaso
- Climate Change, Health and Urban Environment Reference Unit, Carlos III Institute of Health (Instituto de Salud Carlos III/ISCIII), Madrid, Spain
| | - M Saez
- Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Girona, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - M Y Luna
- Meteorological Statal Agency. (AEMET), Madrid, Spain
| | - M A Barceló
- Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Girona, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - M A Navas
- Climate Change, Health and Urban Environment Reference Unit, Carlos III Institute of Health (Instituto de Salud Carlos III/ISCIII), Madrid, Spain
| | - C Linares
- Climate Change, Health and Urban Environment Reference Unit, Carlos III Institute of Health (Instituto de Salud Carlos III/ISCIII), Madrid, Spain
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37
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Wang Y, Ye C, Kong L, Zheng J, Xu M, Xu Y, Li M, Zhao Z, Lu J, Chen Y, Wang W, Ning G, Bi Y, Wang T. Independent Associations of Education, Intelligence, and Cognition With Hypertension and the Mediating Effects of Cardiometabolic Risk Factors: A Mendelian Randomization Study. Hypertension 2023; 80:192-203. [PMID: 36353998 PMCID: PMC9722390 DOI: 10.1161/hypertensionaha.122.20286] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
BACKGROUND Education, intelligence, and cognition are associated with hypertension, but which one plays the most prominent role in the pathogenesis of hypertension and which modifiable risk factors mediate the causal effects remains unknown. METHODS Using summary statistics of genome-wide association studies of predominantly European ancestry, we conducted 2-sample multivariable Mendelian randomization to estimate the independent effects of education, intelligence, or cognition on hypertension (FinnGen study, 70 651 cases/223 663 controls; UK Biobank, 77 723 cases/330 366 controls) and blood pressure (International Consortium of Blood Pressure, 757 601 participants), and used 2-step Mendelian randomization to evaluate 25 potential mediators of the association and calculate the mediated proportions. RESULTS Meta-analysis of inverse variance weighted Mendelian randomization results from FinnGen and UK Biobank showed that genetically predicted 1-SD (4.2 years) higher education was associated with 44% (95% CI: 0.40-0.79) decreased hypertension risk and 1.682 mm Hg lower systolic and 0.898 mm Hg lower diastolic blood pressure, independently of intelligence and cognition. While the causal effects of intelligence and cognition on hypertension were not independent of education; 6 out of 25 cardiometabolic risk factors were identified as mediators of the association between education and hypertension, ranked by mediated proportions, including body mass index (mediated proportion: 30.1%), waist-to-hip ratio (22.8%), body fat percentage (14.1%), major depression (7.0%), high-density lipoprotein cholesterol (4.7%), and triglycerides (3.4%). These results were robust to sensitivity analyses. CONCLUSIONS Our findings illustrated the causal, independent impact of education on hypertension and blood pressure and outlined cardiometabolic mediators as priority targets for prevention of hypertension attributable to low education.
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Affiliation(s)
- Yiying Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.)
| | - Chaojie Ye
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.)
| | - Lijie Kong
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.)
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.).,MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, United Kingdom (J.Z.)
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.)
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.)
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.)
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.)
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.)
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.)
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.)
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.)
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.)
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.).,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China (Y.W., C.Y., L.K., J.Z., M.X., Y.X., M.L., Z.Z., J.L., Y.C., W.W., G.N., Y.B., T.W.)
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38
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Guo C, Chang LY, Bo Y, Lin C, Lau AKH, Tam T, Lao XQ. Life-course exposure to ambient fine particulate matter and hypertension in adulthood: a longitudinal cohort study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:788-797. [PMID: 35904742 DOI: 10.1007/s11356-022-22272-w] [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: 05/10/2022] [Accepted: 07/24/2022] [Indexed: 06/15/2023]
Abstract
PM2.5-hypertension association were well documented in adults, while the effects of life-course exposure to PM2.5 on adulthood hypertension remained unclear. This study aimed to investigate the associations between life-course exposure to ambient PM2.5 and incident hypertension in adulthood in Asia. We included 4272 participants with 17,814 medical visits from two open cohorts in Taiwan and Hong Kong between 2000 and 2018. We used a satellite-based model to assess 2-year average PM2.5 exposure at a resolution of 1 km2. A linear mixed model was used to examine the association with blood pressure. A Cox regression model with time-dependent covariates was used to examine the overall association with the development of hypertension in adulthood. Life-course mixed models were used to examine the effects of PM2.5 exposure at different life stages on blood pressure and hypertension. For every 10 μg/m3 increase in PM2.5, the overall risk of adulthood hypertension increased by 40% (95% confidence interval [CI] 8-80%). The health effects of PM2.5 exposure at different life-stages on incident hypertension were generally independent of each other. In critical model, the risk of developing hypertension increased 23%, 27%, and 55% for each 10 μg/m3 increase in PM2.5 exposure during school age, adolescence, and adulthood, respectively. Similar associations were found between life-course PM2.5 exposure and blood pressure. Association between PM2.5 and adulthood hypertension can be traced back to childhood. Our study suggests that life-course control of air pollution exposure should be implemented to alleviate the huge burden of adulthood hypertension.
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Affiliation(s)
- Cui Guo
- Jockey Club School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ly-Yun Chang
- Institute of Sociology, Academia Sinica, Taipei, Taiwan
| | - Yacong Bo
- Jockey Club School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China
| | - Changqing Lin
- Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Alexis K H Lau
- Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong SAR, China
- Department of Civil and Environmental Engineering, the Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Tony Tam
- Department of Sociology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Xiang Qian Lao
- Jockey Club School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China.
- Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen, China.
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39
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Nouri F, Taheri M, Ziaddini M, Najafian J, Rabiei K, Pourmoghadas A, Shariful Islam SM, Sarrafzadegan N. Effects of sulfur dioxide and particulate matter pollution on hospital admissions for hypertensive cardiovascular disease: A time series analysis. Front Physiol 2023; 14:1124967. [PMID: 36891138 PMCID: PMC9986430 DOI: 10.3389/fphys.2023.1124967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 02/09/2023] [Indexed: 02/22/2023] Open
Abstract
Background and aims: Air pollution is a major environmental risk factor and the leading cause of disease burden with detrimental effects on cardiovascular systems. Cardiovascular diseases are predisposed by various risk factors, including hypertension, as the most important modifiable risk factor. However, there is a lack of sufficient data concerning the impact of air pollution on hypertension. We sought to study the associations of short-term exposure to Sulfur dioxide (SO2) and particulate matter (PM10) with the number of daily hospital admissions of hypertensive cardiovascular diseases (HCD). Methods: All hospitalized patients between March 2010 to March 2012 were recruited with the final diagnosis of HCD based on the International Classification of Diseases 10 (codes: I10-I15) from 15 hospitals in Isfahan, one of the most polluted cities in Iran. The 24-hour average concentrations of pollutants were obtained from 4 monitoring stations. In addition to single- and two-pollutant models, we used Negative Binomial and Poisson models with covariates of holidays, dew point, temperature, wind speed, and extracted latent factors of other pollutants controlling for multi-collinearity to examine the risk for hospital admissions for HCD affected by SO2 and PM10 exposures in the multi-pollutant model. Results: A total of 3132 hospitalized patients (63% female) with a mean (standard deviation) age of 64.96 (13.81) were incorporated in the study. The mean concentrations of SO2 and PM10 were 37.64 μg/m3 and 139.08 μg/m3, respectively. Our findings showed that a significantly increased risk of HCD-induced hospital admission was detected for a 10 μg/m3 increase in the 6-day and 3-day moving average of SO2 and PM10 concentrations in the multi-pollutant model with a percent change of 2.11% (95% confidence interval: 0.61 to 3.63%) and 1.19% (0.33 to 2.05%), respectively. This finding was robust in all models and did not vary by gender (for SO2 and PM10) and season (for SO2). However, people aged 35-64 and 18-34 years were vulnerable to SO2 and PM10 exposure-triggered HCD risk, respectively. Conclusions: This study supports the hypothesis of the association between short-term exposure to ambient SO2 and PM10 and the number of hospital admissions due to HCD.
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Affiliation(s)
- Fatemeh Nouri
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Marzieh Taheri
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mahdi Ziaddini
- Student Research Committee, Department of Occupational Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Jamshid Najafian
- Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Katayoun Rabiei
- Pediatric Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ali Pourmoghadas
- Interventional Cardiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | - Nizal Sarrafzadegan
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
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40
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Zhao H, Wu M, Du Y, Zhang F, Li J. Relationship between Built-Up Environment, Air Pollution, Activity Frequency and Prevalence of Hypertension-An Empirical Analysis from the Main City of Lanzhou. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:743. [PMID: 36613066 PMCID: PMC9819356 DOI: 10.3390/ijerph20010743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/23/2022] [Accepted: 12/27/2022] [Indexed: 06/17/2023]
Abstract
In the process of promoting the strategy of a healthy China, the built environment, as a carrier of human activities, can effectively influence the health level of residents in the light of its functional types. Based on the POI data of four main urban areas in Lanzhou, this paper classifies the built environment in terms of function into four types. The association between different types of built environments and the prevalence of hypertension was investigated by using the community as the study scale, and activity frequency, air pollution and green space were used as mediating variables to investigate whether they could mediate the relationship between built environments and hypertension. The results indicate that communities with a high concentration of commercial service facilities, road and traffic facilities and industrial facilities have a relatively high prevalence of hypertension. By determining the direct, indirect and overall effects of different functional types of built environment on the prevalence of hypertension, it was learned that the construction of public management and service facilities can effectively mitigate the negative effects of hypertension in the surrounding residents. The results of the study contribute to the rational planning of the structure of the built environment, which is beneficial for optimizing the urban structure and preventing and controlling chronic diseases such as hypertension.
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Affiliation(s)
- Haili Zhao
- College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China
| | - Minghui Wu
- College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China
| | - Yuhan Du
- College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China
| | - Fang Zhang
- College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China
| | - Jialiang Li
- College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China
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41
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Khraishah H, Alahmad B, Ostergard RL, AlAshqar A, Albaghdadi M, Vellanki N, Chowdhury MM, Al-Kindi SG, Zanobetti A, Gasparrini A, Rajagopalan S. Climate change and cardiovascular disease: implications for global health. Nat Rev Cardiol 2022; 19:798-812. [PMID: 35672485 DOI: 10.1038/s41569-022-00720-x] [Citation(s) in RCA: 60] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/04/2022] [Indexed: 12/15/2022]
Abstract
Climate change is the greatest existential challenge to planetary and human health and is dictated by a shift in the Earth's weather and air conditions owing to anthropogenic activity. Climate change has resulted not only in extreme temperatures, but also in an increase in the frequency of droughts, wildfires, dust storms, coastal flooding, storm surges and hurricanes, as well as multiple compound and cascading events. The interactions between climate change and health outcomes are diverse and complex and include several exposure pathways that might promote the development of non-communicable diseases such as cardiovascular disease. A collaborative approach is needed to solve this climate crisis, whereby medical professionals, scientific researchers, public health officials and policymakers should work together to mitigate and limit the consequences of global warming. In this Review, we aim to provide an overview of the consequences of climate change on cardiovascular health, which result from direct exposure pathways, such as shifts in ambient temperature, air pollution, forest fires, desert (dust and sand) storms and extreme weather events. We also describe the populations that are most susceptible to the health effects caused by climate change and propose potential mitigation strategies, with an emphasis on collaboration at the scientific, governmental and policy levels.
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Affiliation(s)
- Haitham Khraishah
- Division of Cardiovascular Medicine, University of Maryland School of Medicine, Baltimore, MD, USA. .,Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
| | - Barrak Alahmad
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.,Environmental & Occupational Health Department, Faculty of Public Health, Kuwait University, Hawalli, Kuwait
| | | | - Abdelrahman AlAshqar
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, New Haven, CT, USA
| | - Mazen Albaghdadi
- Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Nirupama Vellanki
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Mohammed M Chowdhury
- Department of Vascular and Endovascular Surgery, Department of Surgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Sadeer G Al-Kindi
- University Hospitals, Harrington Heart & Vascular Institute, Department of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Antonio Gasparrini
- Centre for Statistical Methodology, London School of Hygiene & Tropical Medicine, London, UK.,Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK.,Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Sanjay Rajagopalan
- University Hospitals, Harrington Heart & Vascular Institute, Department of Medicine, Case Western Reserve University, Cleveland, OH, USA
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42
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Tang X, Han YP, Chai YH, Gong HJ, Xu H, Patel I, Qiao YS, Zhang JY, Cardoso MA, Zhou JB. Association of kidney function and brain health: A systematic review and meta-analysis of cohort studies. Ageing Res Rev 2022; 82:101762. [PMID: 36374833 DOI: 10.1016/j.arr.2022.101762] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 10/07/2022] [Accepted: 10/14/2022] [Indexed: 01/31/2023]
Abstract
OBJECTIVE This study aimed to evaluate the bidirectional association between the kidney dysfunction and the brain health, including structural and functional abnormalities. DESIGN Systematic review and meta-analysis with network meta-analysis for outcomes with different estimated glomerular filtration rate (eGFR) ranges. DATA SOURCES PubMed, Embase database, Cochrane library and Web of Science (up to Dec. 2021). ELIGIBILITY CRITERIA FOR SELECTING STUDIES Longitudinal studies that provided evidence of the impact of kidney function estimated from eGFR and urine albumin-to-creatinine ratio (UACR) or chronic kidney disease (CKD) on structural and functional brain abnormalities, and those that provided evidence of the opposite relationship. Studies with study population mean age under 18 years old were excluded. MAIN OUTCOME MEASURES Two independent reviewers screened the included studies, extracted the data, and assessed the risk of bias. We performed a random-effects meta-analysis and a network meta-analysis for outcomes with compatible data. We assessed the risk of bias using the Newcastle-Ottawa Quality Assessment Scale criteria (NOS). Subgroup and sensitivity analyses were conducted to explore heterogeneity in the meta-analyses. Inconsistency analyses using the node-splitting method were performed to confirm the results of network meta-analysis. RESULTS A total of 53 studies with 3037,357 participants were included in the current systematic review. Among these, 16 provided evidence of structural brain abnormalities, and 38 provided evidence of cognitive impairment and dementia. Analysis of evidence of categorical kidney function showed a positive association between kidney dysfunction and cerebral small vessel disease (cSVD) (relative risk (RR) 1.77, 95% confidence interval (CI) 1.40-2.24, I2 = 0.0%), but such results were not found in the analyses of evidence where the kidney function was measured as a continuous variable. Meanwhile, analysis of 28 prior longitudinal studies with 194 compatible sets of data showed that the worse kidney function as categorical variables was related to a greater risk of global brain cognitive disorder (RR 1.28, 95% CI 1.20-1.36, I2 = 82.5%). CONCLUSIONS In this systematic review and meta-analysis, we found a positive association between CKD and functional brain disorders. However, the relationship between the kidney dysfunction and structural abnormalities in the brain remains controversial. As for the opposite relationship, structural brain abnormalities, especially cerebral microbleeds and silent infarction, but not functional brain abnormalities, are associated with worse renal function. In addition, a higher UACR, but not a lower eGFR, was associated with a higher risk of Alzheimer's disease and vascular dementia.
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Affiliation(s)
- Xingyao Tang
- Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yi-Peng Han
- Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yin-He Chai
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Hong-Jian Gong
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Hui Xu
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Ikramulhaq Patel
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yu-Shun Qiao
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Jin-Yan Zhang
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Marly Augusto Cardoso
- Department of Nutrition, School of Public Health, University of Sao Paulo, Sao Paulo, Brazil
| | - Jian-Bo Zhou
- Beijing Tongren Hospital, Capital Medical University, Beijing, China; Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
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43
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Wang F, Wang Y, Wang Y, Jia T, Chang L, Ding J, Zhou L. Urinary polycyclic aromatic hydrocarbon metabolites were associated with hypertension in US adults: data from NHANES 2009-2016. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:80491-80501. [PMID: 35716300 DOI: 10.1007/s11356-022-21391-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 06/06/2022] [Indexed: 06/15/2023]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are widely existing organic pollutants in the environment, and their persistence in the environment makes us have to pay continuous attention to their health effects. However, since the American Heart Association updated its definition of hypertension in 2017, few studies have explored the relationship. This study aimed to investigate the relationship between PAH exposure and hypertension after the updated definition of hypertension and explore whether body mass index (BMI) moderates this relationship. A total of 6332 adult participants from the 2009-2016 National Health and Nutrition Examination Survey (NHANES) were examined. Multiple logistic regression and restricted cubic splines were used to analyze the association between urinary polycyclic aromatic hydrocarbon metabolites and hypertension, and the dose-response relationship. Weighted quantile sum (WQS) regression was applied to blood pressure to reveal multiple exposure effects and the relative weights of each PAH. The prevalence of hypertension in the study population was 48.52%. There was a positive dose-response relationship between high exposure to 1-hydroxynaphthalene, 2&3-hydroxyphenanthrene, and the risk of hypertension. Naphthalene metabolites accounted for the most significant proportion of systolic blood pressure, and phenanthrene metabolites accounted for the most significant proportion of diastolic blood pressure. Obese individuals with high PAH exposure were at greater risk for hypertension than individuals with low PAH exposure and normal BMI. Higher prevalence rate and stronger association of metabolites with outcomes were obtained in the general population of the USA under the new guideline. High levels of exposure to PAHs were positively associated with the risk of hypertension, and these effects were modified by BMI.
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Affiliation(s)
- Fang Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Shanxi Medical University, No. 56, Xinjian South Road, Yingze District, Taiyuan, China.
| | - Yuying Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Shanxi Medical University, No. 56, Xinjian South Road, Yingze District, Taiyuan, China
| | - Yu Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Shanxi Medical University, No. 56, Xinjian South Road, Yingze District, Taiyuan, China
| | - Teng Jia
- Department of Epidemiology and Health Statistics, School of Public Health, Shanxi Medical University, No. 56, Xinjian South Road, Yingze District, Taiyuan, China
| | - Li Chang
- Department of Epidemiology and Health Statistics, School of Public Health, Shanxi Medical University, No. 56, Xinjian South Road, Yingze District, Taiyuan, China
| | - Jie Ding
- Department of Epidemiology and Health Statistics, School of Public Health, Shanxi Medical University, No. 56, Xinjian South Road, Yingze District, Taiyuan, China
| | - Li Zhou
- Department of Epidemiology and Health Statistics, School of Public Health, Shanxi Medical University, No. 56, Xinjian South Road, Yingze District, Taiyuan, China
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44
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Gogna P, Villeneuve PJ, Borghese MM, King WD. An exposure-response meta-analysis of ambient PM 2.5 during pregnancy and preeclampsia. ENVIRONMENTAL RESEARCH 2022; 210:112934. [PMID: 35150719 DOI: 10.1016/j.envres.2022.112934] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 02/07/2022] [Accepted: 02/07/2022] [Indexed: 06/14/2023]
Abstract
Relationships between PM2.5 exposure and preeclampsia have been the focus of four recent systematic reviews and meta-analyses. We expand on knowledge gaps in these reviews by characterizing the shape of the exposure-outcome relationship, and by assessing the heterogeneity in these associations by study characteristics. Studies of PM2.5 and preeclampsia were identified from reviews, and confounder-adjusted estimates were extracted. Estimates were derived using a random-effects model. Potential non-linearity was evaluated using a one-stage dose-response meta-analysis. Contrary to previous meta-analyses reporting stronger relationships, the overall adjusted relative risk (RR) for a 10 μg/m3 average increase in PM2.5 during pregnancy and preeclampsia was modest and not statistically significant (RR: 1.07, 95% CI: 0.99-1.15). This was mainly attributable to inclusion/exclusion decisions for studies made during this review. In addition, there was no evidence of non-linearity, and no important sub-group differences by characteristics such as region, exposure assessment, participant exclusions, and early versus late-onset preeclampsia. Overall, our analysis suggests a modest relationship between ambient PM2.5 and preeclampsia. We provide details on inclusion and exclusion decisions that were lacking in previous studies, and report novel investigations of non-linearity and heterogeneity.
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Affiliation(s)
- Priyanka Gogna
- Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada.
| | - Paul J Villeneuve
- School of Mathematics and Statistics, Carleton University, Ottawa, Ontario, Canada
| | - Michael M Borghese
- Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada; Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Will D King
- Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada
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