Particulate matter air pollution and stroke morbidity and mortality: a meta-analysis

In the review the author highlights contemporary concepts about the relation between the air pollution by the particulate matter (PM) and human morbidity and mortality due to oncological diseases (OD). The author used materials of the articles indexed in the PubMed and RISC databases. The role of air pollution by PM as a risk factor of carcinogenesis in dependence on size, origin, chemical composition and concentration in air is discussed. PM of road-transport origin contains transitional metals acknowledged as most dangerous and is the result the operational wear of motor transport, road surface, and vehicle emissions. Long-term exposure to PM with an aerodynamic diameter ≤2.5 increases risk of appearance of OD of different localization. Dose-dependent action of PM was established. Reduction in air pollution by PM is accompanied by decrease of premature mortality of population, including from OD, and it can be examined as a modifiable risk factor. The results of the meta-analysis of literature data about the economic damage, caused by morbidity and mortality from OD led to the conclusion that reduction in PM concentration is the most realistic and effective method to decrease these social and economic losses. The accumulated carcinogenic risk provides for the lifelong probability of the development of OD, which requires the active medical examination of workers after the curtailment of work with carcinogens for early diagnostics and treatment of OD. The important preventive measure is to decrease the level of air pollution independently on their initial concentration.

Download Full-text

On the relationship of anthropogenic air pollution by particulate matter with cancer risk

Hygiene and Sanitation ◽

10.47470/0016-9900-2020-99-3-298-302 ◽

2020 ◽

Vol 99 (3) ◽

pp. 298-302

Author(s):

Алла Фёдоровна Колпакова

Keyword(s):

Air Pollution ◽

Risk Factor ◽

Particulate Matter ◽

Meta Analysis ◽

Preventive Measure ◽

Premature Mortality ◽

Morbidity And Mortality ◽

Economic Losses ◽

Economic Damage ◽

Transitional Metals

In the review the author highlights contemporary concepts about the relation between the air pollution by the particulate matter (PM) and human morbidity and mortality due to oncological diseases (OD). The author used materials of the articles indexed in the PubMed and RISC databases. The role of air pollution by PM as a risk factor of carcinogenesis in dependence on size, origin, chemical composition and concentration in air is discussed. PM of road-transport origin contains transitional metals acknowledged as most dangerous and is the result the operational wear of motor transport, road surface, and vehicle emissions. Long-term exposure to PM with an aerodynamic diameter ≤2.5 increases risk of appearance of OD of different localization. Dose-dependent action of PM was established. Reduction in air pollution by PM is accompanied by decrease of premature mortality of population, including from OD, and it can be examined as a modifiable risk factor. The results of the meta-analysis of literature data about the economic damage, caused by morbidity and mortality from OD led to the conclusion that reduction in PM concentration is the most realistic and effective method to decrease these social and economic losses. The accumulated carcinogenic risk provides for the lifelong probability of the development of OD, which requires the active medical examination of workers after the curtailment of work with carcinogens for early diagnostics and treatment of OD. The important preventive measure is to decrease the level of air pollution independently on their initial concentration.

Download Full-text

Association between exposure to ambient air pollution and hospital admission, incidence, and mortality of stroke: an updated systematic review and meta-analysis of more than 23 million participants

Environmental Health and Preventive Medicine ◽

10.1186/s12199-021-00937-1 ◽

2021 ◽

Vol 26 (1) ◽

Author(s):

Zhiping Niu ◽

Feifei Liu ◽

Hongmei Yu ◽

Shaotang Wu ◽

Hao Xiang

Keyword(s):

Air Pollution ◽

Particulate Matter ◽

Hospital Admission ◽

Air Pollutants ◽

Meta Analysis ◽

Air Pollutant ◽

Pollutant Concentration ◽

Aerodynamic Diameter ◽

Stroke Incidence ◽

Incidence And Mortality

Abstract Background Previous studies have suggested that exposure to air pollution may increase stroke risk, but the results remain inconsistent. Evidence of more recent studies is highly warranted, especially gas air pollutants. Methods We searched PubMed, Embase, and Web of Science to identify studies till February 2020 and conducted a meta-analysis on the association between air pollution (PM2.5, particulate matter with aerodynamic diameter less than 2.5 μm; PM10, particulate matter with aerodynamic diameter less than 10 μm; NO2, nitrogen dioxide; SO2, sulfur dioxide; CO, carbon monoxide; O3, ozone) and stroke (hospital admission, incidence, and mortality). Fixed- or random-effects model was used to calculate pooled odds ratios (OR)/hazard ratio (HR) and their 95% confidence intervals (CI) for a 10 μg/m3 increase in air pollutant concentration. Results A total of 68 studies conducted from more than 23 million participants were included in our meta-analysis. Meta-analyses showed significant associations of all six air pollutants and stroke hospital admission (e.g., PM2.5: OR = 1.008 (95% CI 1.005, 1.011); NO2: OR = 1.023 (95% CI 1.015, 1.030), per 10 μg/m3 increases in air pollutant concentration). Exposure to PM2.5, SO2, and NO2 was associated with increased risks of stroke incidence (PM2.5: HR = 1.048 (95% CI 1.020, 1.076); SO2: HR = 1.002 (95% CI 1.000, 1.003); NO2: HR = 1.002 (95% CI 1.000, 1.003), respectively). However, no significant differences were found in associations of PM10, CO, O3, and stroke incidence. Except for CO and O3, we found that higher level of air pollution (PM2.5, PM10, SO2, and NO2) exposure was associated with higher stroke mortality (e.g., PM10: OR = 1.006 (95% CI 1.003, 1.010), SO2: OR = 1.006 (95% CI 1.005, 1.008). Conclusions Exposure to air pollution was positively associated with an increased risk of stroke hospital admission (PM2.5, PM10, SO2, NO2, CO, and O3), incidence (PM2.5, SO2, and NO2), and mortality (PM2.5, PM10, SO2, and NO2). Our study would provide a more comprehensive evidence of air pollution and stroke, especially SO2 and NO2.

Download Full-text

Association between particulate matter air pollution and risk of depression and suicide: a systematic review and meta-analysis

Environmental Science and Pollution Research ◽

10.1007/s11356-021-12357-3 ◽

2021 ◽

Vol 28 (8) ◽

pp. 9029-9049

Author(s):

Qisijing Liu ◽

Wanzhou Wang ◽

Xuelin Gu ◽

Furong Deng ◽

Xueqin Wang ◽

...

Keyword(s):

Systematic Review ◽

Air Pollution ◽

Particulate Matter ◽

Meta Analysis

Download Full-text

Air Pollution (Particulate Matter) Exposure and Associations with Depression, Anxiety, Bipolar, Psychosis and Suicide Risk: A Systematic Review and Meta-Analysis

Environmental Health Perspectives ◽

10.1289/ehp4595 ◽

2019 ◽

Vol 127 (12) ◽

pp. 126002 ◽

Cited By ~ 38

Author(s):

Isobel Braithwaite ◽

Shuo Zhang ◽

James B. Kirkbride ◽

David P. J. Osborn ◽

Joseph F. Hayes

Keyword(s):

Systematic Review ◽

Air Pollution ◽

Particulate Matter ◽

Suicide Risk ◽

Meta Analysis ◽

Particulate Matter Exposure

Download Full-text

Cardiovascular morbidity and mortality associations with biomass- and fossil-fuel-combustion fine-particulate-matter exposures in Dhaka, Bangladesh

International Journal of Epidemiology ◽

10.1093/ije/dyab037 ◽

2021 ◽

Author(s):

Md Mostafijur Rahman ◽

Bilkis A Begum ◽

Philip K Hopke ◽

Kamrun Nahar ◽

Jonathan Newman ◽

...

Keyword(s):

Air Pollution ◽

Particulate Matter ◽

Fossil Fuel ◽

Hospital Admissions ◽

Fine Particulate Matter ◽

Fuel Combustion ◽

Morbidity And Mortality ◽

Biomass Combustion ◽

Fossil Fuel Combustion ◽

Cardiovascular Morbidity And Mortality

Abstract Background Fine-particulate-matter (i.e. with an aerodynamic diameter of ≤2.5 µm, PM2.5) air pollution is commonly treated as if it had ‘equivalent toxicity’, irrespective of the source and composition. We investigate the respective roles of fossil-fuel- and biomass-combustion particles in the PM2.5 relationship with cardiovascular morbidity and mortality using tracers of sources in Dhaka, Bangladesh. Results provide insight into the often observed levelling of the PM2.5 exposure–response curve at high-pollution levels. Methods A time-series regression model, adjusted for potentially confounding influences, was applied to 340 758 cardiovascular disease (CVD) emergency-department visits (EDVs) during January 2014 to December 2017, 253 407 hospital admissions during September 2013 to December 2017 and 16 858 CVD deaths during January 2014 to October 2017. Results Significant associations were confirmed between PM2.5-mass exposures and increased risk of cardiovascular EDV [0.27%, (0.07% to 0.47%)] at lag-0, hospitalizations [0.32% (0.08% to 0.55%)] at lag-0 and deaths [0.87%, (0.27% to 1.47%)] at lag-1 per 10-μg/m3 increase in PM2.5. However, the relationship of PM2.5 with morbidity and mortality effect slopes was less steep and non-significant at higher PM2.5 concentrations (during crop-burning-dominated exposures) and varied with PM2.5 source. Fossil-fuel-combustion PM2.5 had roughly a four times greater effect on CVD mortality and double the effect on CVD hospital admissions on a per-µg/m3 basis than did biomass-combustion PM2.5. Conclusion Biomass burning was responsible for most PM2.5 air pollution in Dhaka, but fossil-fuel-combustion PM2.5 dominated the CVD adverse health impacts. Such by-source variations in the health impacts of PM2.5 should be considered in conducting ambient particulate-matter risk assessments, as well as in prioritizing air-pollution-mitigation measures and clinical advice.

Download Full-text

Assessing exposure to household air pollution: A systematic review and meta-analysis of carbon monoxide as a surrogate measure of particulate matter

ISEE Conference Abstracts ◽

10.1289/isee.2016.4101 ◽

2016 ◽

Vol 2016 (1) ◽

Author(s):

Christina Norris* ◽

Ellison M. Carter ◽

Kathie L. Dionisio ◽

Kalpana Balakrishnan ◽

William Checkley ◽

...

Keyword(s):

Systematic Review ◽

Air Pollution ◽

Carbon Monoxide ◽

Particulate Matter ◽

Meta Analysis ◽

Household Air Pollution ◽

Surrogate Measure

Download Full-text

Associations of Exposure to Air Pollution with Insulin Resistance: A Systematic Review and Meta-Analysis

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph15112593 ◽

2018 ◽

Vol 15 (11) ◽

pp. 2593 ◽

Cited By ~ 9

Author(s):

Jiajia Dang ◽

Mengtong Yang ◽

Xinge Zhang ◽

Haotian Ruan ◽

Guiyu Qin ◽

...

Keyword(s):

Insulin Resistance ◽

Air Pollution ◽

Particulate Matter ◽

Cohort Studies ◽

Air Pollutants ◽

English Language ◽

Meta Analysis ◽

Percentage Change ◽

Model Assessment ◽

Aerodynamic Diameter

In this article, we review the available evidence and explore the association between air pollution and insulin resistance (IR) using meta-analytic techniques. Cohort studies published before January 2018 were selected through English-language literature searches in nine databases. Six cohort studies were included in our sample, which assessed air pollutants including PM2.5 (particulate matter with an aerodynamic diameter less than or equal to 2.5 μm), NO2(nitrogen dioxide), and PM10 (particulate matter with an aerodynamic diameter less than 10 μm). Percentage change in insulin or insulin resistance associated with air pollutants with corresponding 95% confidence interval (CI) was used to evaluate the risk. A pooled effect (percentage change) was observed, with a 1 μg/m3 increase in NO2 associated with a significant 1.25% change (95% CI: 0.67, 1.84; I2 = 0.00%, p = 0.07) in the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and a 0.60% change (95% CI: 0.17, 1.03; I2 = 30.94%, p = 0.27) in insulin. Similar to the analysis of NO2, a 1 μg/m3 increase in PM10 was associated with a significant 2.77% change (95% CI: 0.67, 4.87; I2 = 94.98%, p < 0.0001) in HOMA-IR and a 2.75% change in insulin (95% CI: 0.45, 5.04; I2 = 58.66%, p = 0.057). No significant associations were found between PM2.5 and insulin resistance biomarkers. We conclude that increased exposure to air pollution can lead to insulin resistance, further leading to diabetes and cardiometabolic diseases. Clinicians should consider the environmental exposure of patients when making screening and treatment decisions for them.

Download Full-text