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Khajavi A, Ebrahimi N, Masrouri S, Hasheminia M, Azizi F, Khalili D, Hadaegh F. Short-term and lagged effects of ambient air pollutants on CVD hospitalization: A two-decade population-based study in Tehran. Int J Hyg Environ Health 2025; 266:114573. [PMID: 40187266 DOI: 10.1016/j.ijheh.2025.114573] [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: 07/29/2024] [Revised: 03/26/2025] [Accepted: 03/31/2025] [Indexed: 04/07/2025]
Abstract
OBJECTIVES To evaluate the relationship between short-term exposure to ambient air pollutants and cardiovascular disease (CVD) hospitalizations. METHODS A time-series analysis was conducted using data from the Tehran Lipid and Glucose Study cohort of 3454 residents (1880 women) aged 50-70 from District 13 of Tehran. Follow-up data from January 1999 to March 2018 were analyzed. Daily mean temperatures and air pollution levels (CO, O3, PM10, NO2, and SO2) were recorded, and distributed lag non-linear models (DLNMs) assessed the lagged effects on outcome. RESULTS Over a median follow-up of 14.7 years, 2200 CVD hospitalizations occurred among 3454 participants (mean age 58.7 years, women = 1880). Among the general population, the DLNM models indicated that PM10 concentrations at 73 μg/m3 was associated with a 12 % increased risk of the outcome, with an RR of 1.12 (95 % CI: 1.01-1.24), and higher PM10 levels corresponded to increasing RRs. PM10 indicated a short-term exposure effect at 1-day lag on the outcome risk. SO2 concentrations reached significance at 24 μg/m3, with an RR of 1.06 (95 % CI: 1.04-1.07); the effect persisted up to 65 μg/m3, with an increased risk of the outcome observed at a 6-day lag. CO showed the highest RR of 1.92 (95 % CI: 1.65-2.23) for the concentration of 5 mg/m3. Exposure to CO was linked to an increased risk of the outcome with a 1-day lag. Sex as well as presence of metabolic syndrome and CKD did not modify the association between air pollutants with the outcome. CONCLUSIONS Short-term exposure to PM10, SO2 and CO significantly increased risk of CVD hospitalization.
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Affiliation(s)
- Alireza Khajavi
- Department of Biostatistics, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Navid Ebrahimi
- Prevention of Metabolic Disorders Research Center, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Soroush Masrouri
- Prevention of Metabolic Disorders Research Center, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mitra Hasheminia
- Prevention of Metabolic Disorders Research Center, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Davood Khalili
- Prevention of Metabolic Disorders Research Center, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Wang T, Wang J, Sun L, Deng Y, Xiang Y, Wang Y, Chen J, Peng W, Cui Y, He M. Effect of Ozone Exposure on Cardiovascular and Cerebrovascular Disease Mortality in the Elderly. TOXICS 2025; 13:184. [PMID: 40137511 PMCID: PMC11945528 DOI: 10.3390/toxics13030184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2024] [Revised: 01/14/2025] [Accepted: 02/26/2025] [Indexed: 03/29/2025]
Abstract
BACKGROUND Ozone pollution has increased alongside China's economic development, contributing to public health issues such as cardiovascular and cerebrovascular diseases. At present, the problem of an aging population is aggravated, which is worth more attention in terms of the health problems of elderly people. METHODS This study employed a distributional lag nonlinear model (DLNM) with Poisson regression to analyze the impact of ozone on cardiovascular and cerebrovascular disease mortality among the elderly in Shenyang, China, from 2014 to 2018. In addition, a time-series generalized additive regression model (GAM) was used to analyze the joint effect between PM2.5 and ozone. RESULTS We found a positive correlation between ozone and mortality from cardiovascular and cerebrovascular diseases in the elderly. The maximum relative risk (RR) of mortality from cardiovascular and cerebrovascular diseases for every 10 μg/m3 increase in ozone was 1.005 (95% CI: 1.002-1.008). Males (RR: 1.018, 95% CI: 1.007-1.030), individuals in unconventional marital status (RR: 1.024, 95% CI: 1.011-1.038), and outdoor workers (RR: 1.017, 95% CI: 1.002-1.031) were more vulnerable to ozone pollution. This study did not find significant differences in the impact of ozone pollution on cardiovascular and cerebrovascular disease mortality risks among different educational groups. Additionally, a joint effect between ozone and PM2.5 was observed. CONCLUSION This study confirms that ozone exposure is positively associated with increased mortality from cardiovascular and cerebrovascular diseases. It emphasizes the joint effect of ozone and PM2.5 in exacerbating cardiovascular and cerebrovascular disease mortality.
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Affiliation(s)
- Tianyun Wang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Junlong Wang
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China; (J.W.); (L.S.)
| | - Li Sun
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China; (J.W.); (L.S.)
| | - Ye Deng
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Yuting Xiang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Yuting Wang
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Jiamei Chen
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Wen Peng
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Yuanyao Cui
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
| | - Miao He
- Liaoning Key Laboratory of Environmental Health Damage Research and Assessment, Department of Environmental Physical Factors and Health, School of Public Health, Ministry of Education, China Medical University, Shenyang 110122, China; (T.W.); (Y.D.); (Y.X.); (Y.W.); (J.C.); (W.P.); (Y.C.)
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University, Shenyang 110122, China
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Kumar V, S H, Huligowda LKD, Umesh M, Chakraborty P, Thazeem B, Singh AP. Environmental Pollutants as Emerging Concerns for Cardiac Diseases: A Review on Their Impacts on Cardiac Health. Biomedicines 2025; 13:241. [PMID: 39857824 PMCID: PMC11759859 DOI: 10.3390/biomedicines13010241] [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: 12/16/2024] [Revised: 01/13/2025] [Accepted: 01/15/2025] [Indexed: 01/27/2025] Open
Abstract
Comorbidities related to cardiovascular disease (CVD) and environmental pollution have emerged as serious concerns. The exposome concept underscores the cumulative impact of environmental factors, including climate change, air pollution, chemicals like PFAS, and heavy metals, on cardiovascular health. Chronic exposure to these pollutants contributes to inflammation, oxidative stress, and endothelial dysfunction, further exacerbating the global burden of CVDs. Specifically, carbon monoxide (CO), ozone, particulate matter (PM2.5), nitrogen dioxide (NO2), sulfur dioxide (SO2), heavy metals, pesticides, and micro- and nanoplastics have been implicated in cardiovascular morbidity and mortality through various mechanisms. PM2.5 exposure leads to inflammation and metabolic disruptions. Ozone and CO exposure induce oxidative stress and vascular dysfunction. NO2 exposure contributes to cardiac remodeling and acute cardiovascular events, and sulfur dioxide and heavy metals exacerbate oxidative stress and cellular damage. Pesticides and microplastics pose emerging risks linked to inflammation and cardiovascular tissue damage. Monitoring and risk assessment play a crucial role in identifying vulnerable populations and assessing pollutant impacts, considering factors like age, gender, socioeconomic status, and lifestyle disorders. This review explores the impact of cardiovascular disease, discussing risk-assessment methods, intervention strategies, and the challenges clinicians face in addressing pollutant-induced cardiovascular diseases. It calls for stronger regulatory policies, public health interventions, and green urban planning.
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Affiliation(s)
- Vinay Kumar
- Biomaterials & Tissue Engineering (BITE) Laboratory, Department of Community Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai 602105, Tamil Nadu, India; (V.K.)
| | - Hemavathy S
- Biomaterials & Tissue Engineering (BITE) Laboratory, Department of Community Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai 602105, Tamil Nadu, India; (V.K.)
| | | | - Mridul Umesh
- Department of Life Sciences, Christ University, Hosur Road, Bengaluru 560029, Karnataka, India
| | - Pritha Chakraborty
- Area of Molecular Medicine, Department of Allied Healthcare and Sciences, JAIN (Deemed to be University), Bangalore 560066, Karnataka, India
| | - Basheer Thazeem
- Waste Management Division, Integrated Rural Technology Centre (IRTC), Palakkad 678592, Kerala, India
| | - Anand Prakash Singh
- Frankel Cardiovascular Center, Department of Medicine, University of Michigan, Ann Arbor, MI 48109, USA
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Zhu A, Liu M, Yu J, Zhang R, Zhang Y, Chen R, Ruan Y. Association between air pollution and hypertension hospitalizations: a time series analysis in Lanzhou. BMC Public Health 2024; 24:3260. [PMID: 39580430 PMCID: PMC11585948 DOI: 10.1186/s12889-024-20740-1] [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: 03/06/2024] [Accepted: 11/13/2024] [Indexed: 11/25/2024] Open
Abstract
BACKGROUND Air pollution is a major environmental risk factor. Hypertension is one of the most important modifiable risk factors for cardiovascular diseases. However, few studies have evaluated the impact of exposure to ambient air pollution on hypertension hospitalizations. OBJECTIVE This study aims to explore the correlation between exposure to air pollution and hospital admissions for hypertension, to evaluate the short-term effects of air pollution on hypertension hospitalizations and its lag effects. METHODS We collected air pollution concentration and hypertension hospitalization data from 2013 to 2020. Distributed lag non-linear models were employed to assess the impact of air pollution on hypertension hospitalizations in Lanzhou City. We also performed subgroup analyses and sensitivity analyses. RESULTS A total of 47,884 cases of hypertension hospitalizations were included. Short-term exposure to NO2 and CO increased the risk of hypertension hospitalization. For each 10 µg/m3 increase in NO2 and each 1 mg/m3 increase in CO, the relative risk (RR) for hypertension hospitalization were highest at lag0-3 (RR: 1.0427; 95% CI: 1.0196, 1.0663) and lag3 (RR: 1.0986; 95% CI: 1.0350, 1.1661), respectively. SO2 at different lag structures showed opposite effects on hypertension hospitalization. O3 was significantly negatively associated with hypertension hospitalization. No correlation was observed between PM2.5 and PM10 and hypertension hospitalization. Females and individuals aged ≥ 65 were more susceptible to air pollution. The harmful effects of air pollution are greater in the cold season. CONCLUSION Short-term exposure to ambient air pollution increases risk of hypertension hospitalization.
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Affiliation(s)
- Anning Zhu
- School of Public Health, Lanzhou University, Lanzhou, 730000, P.R. China
| | - Miaoxin Liu
- School of Public Health, Lanzhou University, Lanzhou, 730000, P.R. China
| | - Jingze Yu
- School of Public Health, Lanzhou University, Lanzhou, 730000, P.R. China
| | - Runping Zhang
- Gansu Provincial Health Supervision and Guarantee Center, Lanzhou, 730013, P.R. China
| | - Yaoyi Zhang
- School of Public Health, Lanzhou University, Lanzhou, 730000, P.R. China
| | - Rentong Chen
- School of Public Health, Lanzhou University, Lanzhou, 730000, P.R. China
| | - Ye Ruan
- School of Public Health, Lanzhou University, Lanzhou, 730000, P.R. China.
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Zhu A, Cao Y, Li C, Yu J, Liu M, Xu K, Ruan Y. Effects of major air pollutants on angina hospitalizations: a correlation study. BMC Public Health 2024; 24:1877. [PMID: 39004712 PMCID: PMC11247793 DOI: 10.1186/s12889-024-19380-2] [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: 03/12/2024] [Accepted: 07/05/2024] [Indexed: 07/16/2024] Open
Abstract
BACKGROUND Angina is a crucial risk signal for cardiovascular disease. However, few studies have evaluated the effects of ambient air pollution exposure on angina. OBJECTIVE We aimed to explore the short-term effects of air pollution on hospitalization for angina and its lag effects. METHODS We collected data on air pollutant concentrations and angina hospitalizations from 2013 to 2020. Distributed lag nonlinear model (DLNM) was used to evaluate the short-term effects of air pollutants on angina hospitalization under different lag structures. Stratified analysis by sex, age and season was obtained. RESULTS A total of 39,110 cases of angina hospitalization were included in the study. The results showed a significant positive correlation between PM2.5, SO2, NO2, and CO and angina hospitalization. Their maximum harmful effects were observed at lag0-7 (RR = 1.042; 95% CI: 1.017, 1.068), lag0-3 (RR = 1.067; 95% CI: 1.005, 1.133), lag0-6 (RR = 1.078; 95% CI: 1.041, 1.117), and lag0-6 (RR = 1.244; 95% CI: 1.109, 1.397), respectively. PM10 did not have an overall risk effect on angina hospitalization, but it did have a risk effect on women and the elderly. O3 was significantly negatively correlated with angina hospitalization, with the most pronounced effect observed at lag0-6 (RR = 0.960; 95% CI: 0.940, 0.982). Stratified analysis results showed that women and the elderly were more susceptible to pollutants, and the adverse effects of pollutants were stronger in the cold season. CONCLUSION Short-term exposure to PM2.5, SO2, NO2, and CO increases the risk of hospitalization for angina.
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Affiliation(s)
- Anning Zhu
- School of Public Health, Lanzhou University, Lanzhou, 730000, PR China
| | - Yongqin Cao
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, 730000, PR China
| | - Chunlan Li
- Third People's Hospital of Gansu Province, Lanzhou, 730000, PR China
| | - Jingze Yu
- School of Public Health, Lanzhou University, Lanzhou, 730000, PR China
| | - Miaoxin Liu
- School of Public Health, Lanzhou University, Lanzhou, 730000, PR China
| | - Ke Xu
- School of Public Health, Lanzhou University, Lanzhou, 730000, PR China
| | - Ye Ruan
- School of Public Health, Lanzhou University, Lanzhou, 730000, PR China.
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Yang C, Lei L, Li Y, Huang C, Chen K, Bao J. Bidirectional modification effects on nonlinear associations of summer temperature and air pollution with first-ever stroke morbidity. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 272:116034. [PMID: 38310820 DOI: 10.1016/j.ecoenv.2024.116034] [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: 12/17/2023] [Revised: 01/21/2024] [Accepted: 01/25/2024] [Indexed: 02/06/2024]
Abstract
High temperature and air pollution may induce stroke morbidity. However, whether associations between high temperature and air pollution with stroke morbidity are modified by each other is still unclear. Data on 23,578 first-ever stroke patients in Shenzhen, China, during the summers of 2014-2018 were collected. Distributed lag nonlinear models were used to assess the modifying effects of air pollution stratified by the median for the associations between summer temperature and stroke morbidity at 0-3 lag days; modifying effects of temperature stratified by the minimum morbidity temperature on the associations between air pollution and stroke morbidity at the same lags were also estimated. The attributable risks of high temperature and high pollution on stroke morbidity were quantified. Stratified analyses of gender, age, migration type, and complication type were conducted to assess vulnerable population characteristics. Summer high temperature may induce stroke morbidity at high-level PM2.5, PM10, O3, SO2, and NO2 conditions, with attributable fraction (AF) of 2.982% (95% empirical confidence interval [eCI]: 0.943, 4.929), 3.113% (0.948, 5.200), 2.841% (0.943, 4.620), 3.617% (1.539, 5.470), and 2.048% (0.279, 3.637), respectively. High-temperature effects were statistically insignificant at corresponding low-level air pollution conditions. High-level PM2.5, PM10, and O3 may induce stroke morbidity at high-temperature conditions, with AF of 3.664% (0.036, 7.196), 4.129% (0.076, 7.963), and 4.574% (1.009, 7.762), respectively. High-level PM2.5, PM10, and O3 were not associated with stroke morbidity at low-temperature conditions. The effects of high temperature and high pollution on stroke morbidity were statistically significant among immigrants and patients with hypertension, dyslipidemia, or diabetes but insignificant among natives and patients without complications. The associations of summer temperature and air pollution with first-ever stroke morbidity may be enhanced bidirectionally. Publicity on the health risks of combined high temperature and high pollution events should be strengthened to raise protection awareness of relevant vulnerable populations.
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Affiliation(s)
- Chenlu Yang
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Lin Lei
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Yike Li
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Kai Chen
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Junzhe Bao
- College of Public Health, Zhengzhou University, Zhengzhou, China.
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