Increase In PM2 Research Articles

Clinical Study on the Induction of Psoriasis Flare-Ups by PM2.5 Air Pollutants via Immune Barrier Dysfunction.

This study explores the clinical correlation between the air pollutant PM2.5 and the induction of psoriasis flare-ups through the disruption of the immune barrier. Air quality data, the average mass concentration of the primary atmospheric pollutant PM2.5, and meteorological data spanning from November 2023 to March 2024 were gathered from 9 air quality monitoring stations situated within our city, courtesy of the local Meteorological Information Center. Psoriasis cases were sourced from our hospital's dermatology department, encompassing patients diagnosed and treated from November 2023 to March 2024 and residing within the city. From January 2023 to May 2024, aberrant expression of Th1 cells and Th2 cells was observed in psoriasis flare-up patients. Spearman correlation coefficient analysis revealed a positive correlation between PM2.5, PM10, and Th1 cells, and a negative correlation with Th2 cells, exhibiting significant differences (P < .05). Supplemental Figure 1 illustrates an increase in psoriasis flare-ups on the fifth day following a unit increase in PM2.5 concentration, with an excess risk (ER) value of 0.046 [95% confidence interval (CI): 0.137-0.893]. Conversely, after an increase of 1 unit of PM10, there was a decrease on the third and fourth days, followed by increases on the fifth, sixth, and seventh days, with ER values of 0.038 (95% CI: 0.013-0.067), 0.045 (95% CI: 0.019-0.073), 0.051 (95% CI: 0.034-0.078), 0.057 (95% CI: 0.045-0.083), and 0.061 (95% CI: 0.051-0.087), respectively. Air pollutant PM2.5 could potentially exacerbate psoriasis flare-ups by compromising the immune barrier, suggesting a plausible mechanism linked to the onset of this condition.

Exposure to air pollution is associated with adipokines in midlife women: The Study of Women's Health Across the Nation

This study examined the associations between ambient air pollution exposure, including fine particulate matter (PM2.5), nitrogen dioxide (NO2), and ozone (O3), with serum levels of high molecular weight (HMW) adiponectin, leptin, and soluble leptin receptors (sOB-R) in midlife women. The analysis included 1551 participants from the Study of Women's Health Across the Nation (median age = 52.3 years) with adipokine data from 2002 to 2003. Annual air pollution exposures were assigned by linking residential addresses with high-resolution machine learning models at a 1-km2 resolution. Multivariable linear regression and Bayesian kernel machine regression (BKMR) were used to evaluate the associations for individual pollutants and pollutant mixtures. After adjusting for confounders in linear regression models, an interquartile range increase in PM2.5 (2.5 μg/m3) was associated with a 4.6 % lower HMW adiponectin level (95 % CI: −8.8 %, −0.3 %). Exposure to air pollutant mixtures showed negative associations with HMW adiponectin and positive associations with leptin levels in BKMR models. These findings suggest that exposures to PM2.5, NO2, and O3 are associated with adverse levels of adipokines, which may contribute to obesity-related outcomes. Further research is needed to confirm these findings and explore the underlying biological mechanisms.

Association of Long-Term Exposure to PM2.5 Constituents and Green Space With Arthritis and Rheumatoid Arthritis.

There is limited evidence regarding the effects of long-term exposure to PM2.5 constituents on the risk of arthritis and rheumatoid arthritis, and the interaction between PM2.5 and green space remains unclear. This study examined the relationship between long-term exposure to PM2.5 constituents and the risk of arthritis and rheumatoid arthritis, with the exposure period extending from recruitment until self-reported outcomes, death, loss to follow-up, or end of follow-up. Additionally, the study assessed whether there was an interactive effect between PM2.5 and green space on these risks. We gathered cohort data on 18,649 individuals aged ≥45years. We applied generalized linear mixed-effects models to estimate the effects of PM2.5 constituents, NDVI, and their interaction on arthritis and rheumatoid arthritis. The quantile g-computation and weighted quantile sum regression model were applied to estimate the combined effect of PM2.5 constituents. Our results showed that exposure to single and mixed PM2.5 constituents adversely affected arthritis and rheumatoid arthritis, and was mainly attributed to the black carbon component. We observed "U" or "J" shaped exposure-response curves for the effects of PM2.5, OM, NO3 - and NH4 + exposure on the development of arthritis/rheumatoid arthritis. Additionally, the odds ratio of arthritis for per interquartile range (IQR) increase in PM2.5 was 1.209 (95% CI:1.198, 1.221), per 0.1-unit decrease in NDVI was 1.091 (95% CI:1.033, 1.151), and the interaction term was 1.005 (95% CI:1.002, 1.007). These findings flesh out the existing evidence for PM2.5 constituents, NDVI and arthritis, rheumatoid arthritis, but the underlying mechanisms still require further exploration.

Quantitative Decoupling Analysis for Assessing the Meteorological, Emission, and Chemical Influences on Fine Particle Pollution

AbstractA comprehensive understanding of meteorological, emission and chemical influences on severe haze is essential for air pollution mitigation. However, the nonlinearity of the atmospheric system greatly hinders this understanding. In this study, we developed the quantitative decoupling analysis (QDA) method by applying the Factor Separation (FS) method into the model processes to quantify the effects of emissions (E), meteorology (M), chemical reactions (C), and their nonlinear interactions and impact on fine particulate matter (PM2.5) pollution. Taking a heavy‐haze episode in Beijing as an example, we show that different from the integrated process rate (IPR) and the scenario analysis approach (SAA) in previous studies, the QDA method explicitly demonstrate the nonlinear effects by decomposing the variation of PM2.5 concentration into individual contributions of E, M and C terms as well as the contributions from interactions among these processes. Results showed that M dominated the hourly fluctuation of the PM2.5 concentration. The C terms increase with increasing the level of haze, reaching maximum (0.37 μg m−3 h−1) at the maintenance stage. Moreover, our method reveals that there are non‐negligible non‐linear effects of meteorological, emission, and chemical processes during pollution stage, with the mean accounting for 50% of the increase in PM2.5 concentrations, which is often ignored in the current air pollution control strategies. This study highlights that the QDA approach can be used to gain insight into the formation of heavy pollution, and to identify uncertainty in numerical models.

The effect of the ultra-low emission zone on PM2.5 concentration in Seoul, South Korea

As studies regarding the positive effect of Low Emission Zones (LEZs) and people's risk perception about air pollution have increased, more powerful and specific traffic regulation policies have been required. London is the first city in the world to implement an Ultra-low Emission Zone (ULEZ) in addition to the existing LEZ. Benchmarking London's ULEZ, a ULEZ policy was implemented in Seoul, South Korea on December 1, 2019. The goal of the policy is to improve air quality by prohibiting entry of vehicles registered nationwide into Seoul's ULEZ that do not meet a specific emission standard including diesel, gasoline, and LPG fuel-based vehicles. This study analyzed the effect of Seoul's ULEZ policy on the five major atmospheric pollutants (PM2.5, PM10, NO2, CO, SO2, O3) concentration in the zone, particularly focusing on PM2.5 concentration. The analysis employs Difference-in-Differences (DD) approach, comparing data from one year before and after the policy's implementation on December 1, 2019. The findings indicate that Seoul's ULEZ policy resulted in a 9.8% increase in PM2.5 concentrations. Conversely, the policy led to reductions in PM10, NO2, CO, and SO2 concentrations by 12.0%, 17.3%, 5.9%, and 10.8%, respectively, while the effect on O3 was statistically insignificant. These empirical results suggest that the ULEZ may need to incorporate more stringent emission standards, expand its coverage, or introduce additional measures to address the unintended increase in PM2.5 concentration.

Direct current cardioversion and the impact of short-term exposure to air pollution: a report from the nationwide EP-PARTICLES study

Abstract Background Air pollution and atrial fibrillation (AF) represent significant public health challenges, impacting global health considerably. Numerous studies have focused on areas with high or very high air pollution concentrations, our study examines a unique area in Poland characterized by low to moderate air pollution levels. Our research also addresses a commonly overlooked in research type of pollution - Polish smog. Due to its composition rich in particulate matter and the conditions in which it is formed - is characterized by extremely adverse health effects. Aim To explore the correlation between short-term air pollution exposure and the incidence of acute direct current cardioversion (DCC) for AF treatment. Methods The study area encompassed three voivodeships from Eastern Poland at the NUTS-2 level, with a population of 5,429,378 individuals. Data on hospitalizations from 2011 to 2020 were obtained from the National Health Fund. We combined air pollution and weather condition data from both ground monitoring stations and satellite observations. Emergency visits for AF and DCC were identified using ICD-9 and ICD-10 codes. For a national perspective, we applied meta-analytical strategies to the municipality-specific outcomes. The results are presented as percentage increases in admissions (% IR) with 95% confidence intervals (95%CI). Results Over the decade, 190,454 hospitalizations for AF were reported with a standardized hospitalization rate (SHR) of 358 per 100,000/year (SD=113) and 30,291 DCC admissions (SHR=56.9 [SD]=26). The mean age for AF vs. DCC cohort was 69.6 (SD=11.2) vs. 68.7 (SD=10.4) years, with females representing 56.1% (N=106,822) of AF cases vs. 46.1% (N=13,953) of DCC admissions (P&amp;lt;0.001). Each 10 µg/m3 increase in PM2.5, PM10, and NO2 concentration on the exposure day led to 1.6% (1.1%–2.1%), 1% (0.8%–1.6%), and 1.8% (1.1%–2.6%) increases in acute AF admissions, respectively, with effects lasting up to 6 days. Women and older individuals were more vulnerable to AF episodes induced by air pollution (P&amp;lt;0.001). A 10 µg/m3 increase in PM2.5 on the day of admission increased DCC admissions by 1.5% (0.1%–2.9%, P=0.04), with effects persisting for up to 3 days. The impact of PM10 was time-delayed: 1.3% (0.2%–2.4%, P=0.02) for LAG1 (i.e. one day after exposure), and 1.1% (0.1%–2.2%, P=0.4) for LAG2. No significant effects of gaseous pollutants on DCC (SO2, NO2, and BaP) were observed, nor any differences in the effects by age or sex. Exposure-response functions show steeper slopes of the PM2.5 associations in the lower ranges of exposures, far below air quality norms set by the World Health Organization. Conclusions Air pollution acts as a triggering factor for acute AF hospitalizations and DCC. The differential impact of air pollution on AF events between groups highlights that women and older individuals are particularly vulnerable. Air pollution exposure should be considered into AF management and prevention strategies.Pooled exposure–response function: % inc

Air pollution and cerebrovascular diseases - retrospective analysis of 10,486 cases of acute ischemic stroke requiring intravenous thrombolysis. A report from the EP-PARTICLES study

Abstract Introduction Air pollution (AP) is becoming an increasingly important non-classical CVD risk factor. Recent years have brought us the introduction of new types of AP, such as ‘Polish smog’, rich in particulate matter (PM) and benzo(alpha)pyrene (B(a)P) - thus far overlooked in scientific research. Acute ischemic stroke (AIS) is an increasing healthcare challenge, with the ageing population and associated presence of atrial fibrillation worldwide. Intravenous thrombolysis (IVT), alongside thrombectomy, is the most effective AIS treatment method. Purpose To analyze the impact of AP on AIS requiring IVT incidence. To our knowledge this is the first study of its kind worldwide. Methods The study covered 500 municipalities inhabited by 5.7 million people in Poland in 2011-2020. AIS requiring IVT incidence data [hospitalizations with ICD-10 diagnosis (I63.X) and concomitant ICD-9 procedure (99.101/99.102/99.103)] and AP concentrations (PM2.5 and B(a)P) were obtained from the National Health Fund and Inspectorate for Environmental Protection, respectively. IVT was administered within 4.5 hours from the onset of AIS symptoms, ensuring accuracy in the timing of exposure. Using the GEM-AQ model we calculated AP levels for all 500 municipalities. To analyze the effects of AP we used quasi-Poisson generalized additive models with covariates such as weather conditions, day of the week, bank holidays, and seasonal trends. Results are presented as relative risks (RRs) and 95% confidence intervals (95% CI) per interquartile range increase in AP on the day of exposure (LAG 0) and the following days (LAG 1, etc). Results In the study period, we recorded 96,122 AIS with a slight predominance of females (52.6%) and median age 76 years old (y.o) [IQR 66-83]; 10,486 (10.9%) were treated with IVT (median age 74 y.o. IQR 65-82), females 51.3%. Mortality rates were lower in patients treated with IVT than overall AIS patients (13.3% vs 15.4%, p&amp;lt;0.001). Exposure to B(a)P was associated with the highest increase in AIS requiring IVT incidence on LAG 0 and this effect persisted for up to 3 days after exposure [Figure 1]. In the overall population, an increase in PM2.5 concentration was associated with an increased risk of AIS requiring IVT on LAG 0, LAG 1, and LAG 3 [Figure 1]. AP increased the risk of AIS requiring IVT in both young and older individuals, as well as in women and men. We recorded no differences between the effects of analyzed air pollutants and AIS requiring IVT depending on age and sex [Figure 2]. Conclusions AP acts as a trigger for AIS requiring IVT with a similar impact regardless of sex and age. Patients undergoing IVT are characterized by better survival. Public health changes should consider efforts to decrease levels of air pollutants. Highly polluted areas should have centers with rapid access to AIS treatments and our study could help to identify high risk areas that require adaptations in local infrastructure.Figure 1.Figure 2.

Impact of COVID-19 restrictions liberalization on air quality: a case study of Chongqing, Southwest China.

To mitigate the societal impact of the COVID-19 pandemic, China implemented long-term restrictive measures. The sudden liberalization at the end of 2022 disrupted residents' daily routines, making it scientifically intriguing to explore its effect on air quality. Taking Chongqing City in Southwest China as an example, we examined the impact of restriction liberalization on air quality, identified potential sources of pollutants, simulated the effects of abrupt anthropogenic control relaxation using a Random Forest Model, and applied an optimized model to predict the post-liberalization pollutant concentrations. The results showed increases in PM2.5 (72.3%), PM10 (67.7%), and NO2 (21.9%) concentrations, while O3 concentration decreased by 20.5%. Although potential pollution source areas contracted, pollution levels intensified with northeastern Sichuan, interior Chongqing, and northern Guizhou being major contributors to pollutant emissions. Anthropogenic emissions accounted for 26.7 ~ 33% changes in PM2.5 and PM10 concentrations while meteorological conditions contributed to 40.2 ~ 43.3% variations observed during the period. The optimized model demonstrated a correlation between predicted and observed values with R2 ranging from 0.70 to 0.89, enabling accurate prediction of post-liberalization pollutant concentrations. This study can enhance our understanding regarding the impact of sudden social lockdown relaxation events on air quality while providing support for urban air pollution prevention.

Mendelian Randomization Study of the Causal Relationship between PM2.5 and Neurodegenerative Diseases

Background: In recent years, a large number of studies have evaluated the relationship between particulate matter 2.5 (PM2.5) and the incidence rate and mortality of neurodegenerative diseases (NDDs), but the conclusion is controversial. Methods: The publicly available statistical data from genome-wide association studies were used for two sample MR. Inverse variance weighted is used as the main analysis, MR Egger regression, maximum likelihood, simple median, and weighted median are used for supplementary validation. Results: MR analysis results indicate that for every standard deviation increase in PM2.5 exposure, the risk of Alzheimer's disease (AD) increases by 41% (95% CI: 1.10～1.82, P=0.008). However, there is no causal association between PM2.5 and NDDs such as Parkinson's disease, amyotrophic lateral sclerosis, multiple sclerosis, and Dementia with Lewy bodies. Sensitivity analysis did not detect heterogeneity and pleiotropy, indicating that the analysis results are robust. Conclusion: There is a causal relationship between PM2.5 and the risk of AD, and reducing PM2.5 exposure may be of great significance for the prevention of AD.

Spatial and temporal patterns of urban air pollution in tehran with a focus on PM2.5 and associated pollutants

Understanding the spatial and temporal dynamics of air pollutants is crucial for effective urban air pollution management. This study focuses on the temporal dynamics of air quality monitoring stations (AQMSs) and the association among air pollutants, particularly PM2.5, in Tehran, Iran. Using time series clustering and the Copula model, we analyzed data from 2019 to 2022. We found that the levels and dynamics of O3 and SO2 were similar across most AQMSs and unrelated to geographical positions. CO levels and dynamics were consistent among urban and border AQMSs, with higher concentrations in urban stations. NO2 levels and dynamics varied significantly among northern AQMSs with no relationship geographical positions. PM10 levels and dynamics had a relationship with geographical positions, with western clusters having the highest and northern clusters the lowest concentrations. The dynamics of PM2.5 showed significant relationship among AQMSs in the eastern, southern, and western regions, but not in the north. We also observed that PM10 and O3 levels were higher in warm seasons, whereas CO, SO2, NO2, and PM2.5 levels were higher in cold seasons. Most pollutants, except O3, peaked during traffic hours. Notably, the significant increase in PM2.5 since spring 2021 was primarily due to PM10. Policymakers should focus on these spatial and temporal variations to improve urban air quality and public health outcomes through targeted interventions.

The effect of air pollution on hospitalizations with Parkinson’s disease among medicare beneficiaries nationwide

We examined the effect of annual exposure to fine particulate matter (PM2.5), nitrogen dioxide (NO2), and ozone (O3), on the rate of first hospitalization with a PD-related diagnosis (hospitalization with PD) among Medicare Fee-for-Service beneficiaries (2001-2016). Machine learning-derived annual air pollution concentrations were linked to residential ZIP codes. For each exposure, we fitted four models: 1) traditional outcome stratification, 2) marginal structural, 3) doubly robust, and 4) generalized propensity score matching Poisson regression models, adjusted for sociodemographic and meteorological confounders and long-term trends. Among 49,121,026 beneficiaries, incidence rate ratios of 1.08 (95% CI: 1.07, 1.10), 1.07 (95% CI: 1.05, 1.08), and 1.03 (95% CI: 1.02, 1.05) for an interquartile range increase in PM2.5 (3.72 µg/m3), NO2 (13.84 ppb), and O3 (10.09 ppb), respectively, were estimated from doubly robust models. Results were similar across modeling approaches. In this nationwide study, higher air pollution exposure increased the rate of hospitalizations with PD.

Long-term exposure to ambient air pollution and risk of lung cancer – A comparative analysis of incidence and mortality in four administrative cohorts in the ELAPSE study

BackgroundStudies have linked air pollution to lung cancer incidence and mortality, but few have compared these associations, which may differ due to cancer survival variations. We aimed to evaluate the association between long-term air pollution exposure and lung cancer incidence and compare findings with previous lung cancer mortality analyses within the same cohorts. MethodsWe analyzed four population-based administrative cohorts in Denmark (2000–2015), England (2011–2017), Norway (2001–2016) and Rome (2001–2015). We assessed residential exposure to annual average fine particulate matter (PM2.5), nitrogen dioxide (NO₂), black carbon (BC), and warm-season ozone (O3) using Europe-wide land use regression models. We used Cox proportional hazard models to evaluate cohort-specific hazard ratios (HRs) and 95% confidence intervals (CIs) for lung cancer incidence identified using hospital admission records (English and Roman cohorts) or cancer registries (Danish and Norwegian cohorts). We evaluated the associations at low exposure levels using subset analyses and natural cubic splines. Cohort-specific HRs were pooled using random-effects meta-analyses, separately for incidence and mortality. ResultsOver 93,733,929 person-years of follow-up, 111,949 incident lung cancer cases occurred. Incident lung cancer was positively associated with PM2.5, NO2 and BC, and negatively associated with O3. The negative O3 association became positive after adjustment for NO2. Associations were almost identical or slightly stronger for lung cancer incidence than mortality in the same cohorts, with respective meta-analytic HRs (95% CIs) of 1.14 (1.06, 1.22) and 1.12 (1.02, 1.22) per 5 μg/m3 increase in PM2.5, and 1.10 (1.04, 1.16) and 1.09 (1.02, 1.16) per 10 μg/m3 increase in NO2. Positive associations persisted for both incidence and mortality at low pollution levels with similar magnitude. ConclusionsWe found similarly elevated risks of lung cancer incidence and mortality in association with residential exposure to PM2.5, NO2 and BC in meta-analyses of four European administrative cohorts, which persisted at low pollution levels.

Coordinating public and government responses to air pollution exposure: A multi-source data fusion approach

Aligning public demand with government supply of clean air aids in efficient air pollution control and enhancement of public happiness. However, comparative empirical analyses of public and government attention to air quality changes are still sparse due to data and methodological constraints. Here, we adopt multi-source data fusion approaches to assess the impacts of air pollution exposure on public and government attention. Specifically, remote and social sensing data, alongside keywords extracted from textual data, are utilized to quantify air pollution exposure and corresponding public and government attention levels in 273 Chinese cities from 2011 to 2019, and a two-stage least squares regression model is employed to tackle reverse causality issues underlying the exposure-response relationship. Our findings reveal that, on average, a unit increase in PM2.5 levels would result in a 17.7% growth in public attention and a 12.7% rise in government attention, respectively, suggesting that demand-driven public attention tends to be more sensitive to air quality changes than policy-driven government attention. Results for the spatial-temporal heterogeneity further demonstrate that public attention varies across time and space, whereas government attention remains relatively consistent. Additionally, we have identified 116 cities exhibiting disparities between the public and government responses to air quality changes, calling for environmental policy refinements to better serve the needs of residents. This study emphasizes the necessity of public engagement in environmental governance and offers rich policy implications for air pollution control in China.

Long-term exposure to fine particulate matter constituents, genetic susceptibility, and incident heart failure among 411 807 adults.

Long-term fine particulate matter (PM2.5) exposure has been linked to incident heart failure (HF), but the impacts of its constituents remain unknown. We aimed to investigate the associations of PM2.5 constituents with incident HF, and further evaluate the modification effects of genetic susceptibility. PM2.5 and its constituents, including elemental carbon (EC), organic matter (OM), ammonium (NH4 +), nitrate (NO3 -), and sulfate (SO4 2-), were estimated using the European Monitoring and Evaluation Programme model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology. A polygenic risk score (PRS) was calculated to represent genetic susceptibility to HF. We employed Cox models to evaluate the associations of PM2.5 constituents with incident HF. Quantile-based g-computation model was used to identify the main contributor of PM2.5 constituents. Among 411 807 individuals in the UK Biobank, 7554 participants developed HF during a median follow-up of 12.05 years. The adjusted hazard ratios of HF for each interquartile range increase in PM2.5, EC, OM, NH4 +, NO3 -, and SO4 2- were 1.50 (1.46-1.54), 1.31 (1.27-1.34), 1.12 (1.09-1.15), 1.42 (1.41-1.44), 1.26 (1.23-1.29), and 1.25 (1.24-1.26), respectively. EC (43%) played the most important role, followed by NH4 + and SO4 2-. Moreover, synergistic additive interactions accounted for 9-16% of the HF events in individuals exposed to both PM2.5, NH4 +, NO3 -, and SO4 2- and PRS. Long-term exposure to PM2.5 constituents may elevate HF risk, and EC was the major contributor. Additive effects of PM2.5 constituents and PRS on HF risk were revealed.

Wildfire Seasons, Prenatal PM2.5 Exposure, and Respiratory Infections by Age 1 Year: A Population-Based Case-Control Analysis of Critical Developmental Windows.

The 2017 and 2018 wildfire seasons in British Columbia (BC), Canada were unprecedented. Among all the pollutants in wildfire smoke, fine particulate matter (PM2.5) poses the most significant risk to human health. There is limited research on prenatal wildfire smoke exposure and its impacts on infant health. We used a population-based nested case-control design to assess the association between daily PM2.5 exposures during specific developmental windows and the occurrence of otitis media or lower respiratory infections by age 1 year, including infections associated with dispensations of the antibiotic amoxicillin. We observed the strongest association between per 10 μg/m3 increase in PM2.5 exposure and otitis media during the fourth window of eustachian tube development (weeks 19-28) with an OR [95% confidence interval] of 1.31 [1.22, 1.41]. Similarly, the canalicular stage of lower respiratory tract development (weeks 18-27) was associated with the highest odds of lower respiratory infections, with an OR of 1.21 [1.15, 1.28]. Measures to reduce wildfire smoke exposure during pregnancy are warranted.

Association between exposure to ambient particulate matter and high sensitivity C-reactive protein: A nationwide study in South Korea, 2015–2018

Existing evidence suggests that exposure to ambient particulate matter (PM) causes various adverse health outcomes through systemic inflammation. We explored the association between PM exposure and high-sensitivity C-reactive protein (hs-CRP) levels in a Korean population. This cross-sectional study included a representative sample of 21,154 Korean individuals, linked to modeled air quality data from 2015 to 2018. Concentrations of PM10 and PM2.5 were estimated for 1-week (short-term), 2-month, 4-month, 6-month (medium-term), and 1-year (long-term) moving averages before the survey date for each participant. The association between log-transformed hs-CRP levels and PM exposure was assessed using linear regression. The effect sizes were expressed as percent changes with 95% confidence intervals (CIs). The percent change (95% CI) in hs-CRP levels per a 10-μm/m3 increase in PM10, according to moving averages, was 0.47 (−1.13, 2.10) for 1-week, 4.87 (2.50, 7.29) for 2-month, 8.21 (4.89, 11.64) for 4-month, 11.26 (6.81, 15.89) for 6-month, and 7.15 (2.54, 11.98) for 1-year. The percent change (95% CI) in hs-CRP levels per a 10-μm/m3 increase in PM2.5, according to moving averages, was 0.66 (−2.38, 3.79) for 1-week, 7.51 (2.86, 12.36) for 2-month, 14.26 (8.23, 20.62) for 4-month, 20.29 (12.42, 28.70) for 6-month, and 17.76 (8.51, 27.79) for 1-year. The relationship between PM exposure and hs-CRP levels remained independent even after adjusting for sociodemographic characteristics and other co-pollutants. Exposure to PM10 and PM2.5, particularly over longer periods, showed positive association with hs-CRP levels in Korean adults. These findings highlight the necessity for policy efforts aimed at enhancing air quality and mitigating the health impacts of PM exposure.

Association of Ambient Air Pollution Exposure With Incident Glaucoma: 12-Year Evidence From the UK Biobank Cohort.

Glaucoma is the leading cause of irreversible blindness worldwide. Despite growing concerns about air quality and its impact on ocular health, there remains a knowledge gap regarding the long-term association between air pollution and glaucoma risk. This study investigates the relationship between exposure to ambient air pollution and incidence of glaucoma. In this prospective study, we used land use regression models to estimate levels of various air pollutants, including fine particulate matter (PM2.5), PM2.5 absorbance, PM2.5-10, PM10, nitrogen dioxide (NO2), and nitrogen oxides (NOx). Incidents of glaucoma were ascertained through routinely collected hospital admission records. Multivariate Cox proportional hazards models were used to examine the associations between air pollution exposure and glaucoma incidence, adjusting for potential confounding sociodemographic, physical, and lifestyle factors. Data from 481,113 participants were included. Over a median follow-up of 12.8 years, 9224 incident cases of glaucoma were identified. In the maximally adjusted model, per interquartile range increase in PM2.5 was associated with a 3% greater risk of developing glaucoma (hazard ratio [HR] = 1.03, 95% confidence interval [CI] = 1.00 to 1.06, P = 0.048). Participants in the highest quartile had a 10% increased risk of developing glaucoma compared to those in the lowest quartile (HR = 1.10, 95% CI = 1.03 to 1.17, P = 0.005). Higher levels of exposure to ambient air pollutants, particularly PM2.5, are associated with an increased risk of developing glaucoma. These results highlight the potential public health impact of ambient air pollution on glaucoma risk and underscore the urgent need for further research into targeted environmental interventions in this domain.

Association of fine particulate matter and residential green space with rheumatoid arthritis

BackgroundFine particulate matter (PM2.5) is a recognized risk factor for respiratory and cardiovascular diseases, but the association between PM2.5 and rheumatoid arthritis (RA) is still controversial. Additionally, evidence on the relationship of green space with RA is scarce. This study aimed to investigate the separate and combined associations of PM2.5 and green space with risk of RA. MethodsOur study involved 30,684 participants from the Yinzhou cohort in Ningbo, China. PM2.5 concentrations were determined using a land-use regression model. Residential green space was assessed using the Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) from satellite images. We employed the Cox proportional hazard model to evaluate the relationships of PM2.5 and green space with RA. ResultsDuring the 176,894 person-years of follow-up period, 354 cases of RA were identified. Hazard ratio (HR) and the corresponding 95% confidence interval (95% CI) for every interquartile range (IQR) increase in PM2.5 were 1.23 (95% CI: 1.02, 1.49). Compared with lower exposure to residential green space, individuals living in areas with more green space had a decreased risk of RA (HR was 0.80 (95% CI: 0.70, 0.92), 0.80 (95% CI: 0.70, 0.92), and 0.79 (95% CI: 0.70, 0.89) for 250m, 500m, and 1000m NDVI buffers, respectively). Similar results were observed for the association between EVI and RA. Furthermore, a significant multiplicative interaction was observed between PM2.5 and green space (NDVI 250m and EVI 250m). No mediating effect of PM2.5 on the relationship between green space and RA was observed. ConclusionOur findings indicated that living in areas with higher green space was linked to a reduced risk of RA, whereas living in areas with higher PM2.5 was associated with an increased risk of RA. The beneficial effect of high green space may be offset by exposure to PM2.5.

Effect of air pollution, genetic susceptibility on the risk of all-cause mortality and cardiovascular outcomes among atrial fibrillation patients

Objective: To analyze the association between air pollution, genetic susceptibility, and the risk of all-cause mortality and cardiovascular outcomes in patients with atrial fibrillation (AF). Methods: AF patients aged between 40-69 years old registered in the United Kingdom Biobank from 2006 to 2010 were included. After excluding those lost to follow-up or with incomplete data during follow-up, 5 814 subjects were analyzed. Long-term exposure to air pollution was estimated at the geocoded residential address of each participant. Genetic risk scores for all-cause mortality, cardiovascular disease, heart failure, myocardial infarction, and stroke were constructed separately for each object to assess the corresponding genetic susceptibility. The Cox proportional hazards model was used to analyze the association between air pollution, genetic susceptibility, and the risk of all-cause mortality and cardiovascular outcomes in AF patients. Results: During a median follow-up of 12.4 years, there were 929 of all-cause mortality (15.98%) and 1 772 of cardiovascular events (30.48%). Multivariable-adjusted analyses revealed that higher exposure to PM2.5, PM10, NOx, and NO2 was associated with an increased risk of cardiovascular disease mortality, heart failure, myocardial infarction, and stroke, with hazard ratios (HRs) ranging from 1.26 to 1.48. Specifically, for each interquartile range (IQR) increase in PM2.5 exposure, the HRs for the outcomes mentioned above were 1.33 (95%CI: 1.14-1.54), 1.42 (95%CI: 1.31-1.54), 1.46 (95%CI: 1.30-1.64), and 1.43 (95%CI: 1.27-1.61), respectively. Both NOx and NO2 exposures were associated with a 9% increased risk of all-cause mortality per IQR increment, with corresponding HRs of 1.09 (95%CI: 1.02-1.17) and 1.09 (95%CI: 1.01-1.17), respectively. Individuals with high genetic susceptibility to AF had a higher risk of myocardial infarction and stroke compared to those with low genetic susceptibility, with corresponding HRs of 1.39 (95%CI: 1.04-1.87) and 1.46 (95%CI: 1.09-1.95), respectively. Compared to AF patients with low air pollution exposure, those with high air pollution exposure have adjusted population attributable fractions of up to 33.57% (95%CI: 17.87%-46.26%) for cardiovascular mortality, 28.61% (95%CI: 20.67%-35.75%) for heart failure, 33.35% (95%CI: 20.97%-43.79%) for myocardial infarction, and 42.29% (95%CI: 30.05%-52.71%) for stroke. Furthermore, there was an additive interaction between PM2.5, NOx, and NO2 exposure and high genetic susceptibility on the incidence of myocardial infarction. An additive interaction was also observed between NOx, NO2 exposure, and high genetic susceptibility on the incidence of heart failure (all P<0.05). Conclusions: Both air pollution and genetic susceptibility increase the risk of all-cause mortality and cardiovascular outcomes in AF patients.

Effects of outdoor air pollution on hospital admissions from cardiovascular diseases in the capital city of Mongolia

Cardiovascular diseases (CVD) are one of the primary causes of morbidity worldwide, while ambient air pollution (AAP) is a major contributor to CVD. This study is the first study that aimed to compare the differences in AAP concentrations and acute effects on the risk of admissions from CVD, ischaemic heart diseases (IHD), and stroke before and after introducing the new type of coal briquette in Ulaanbaatar, Mongolia. We collected daily hospital admission records, air quality and meteorology data between January 1, 2016 and December 31, 2022. The relative risks (RRs) of cause-specific hospitalisations associated with daily concentrations of AAP were estimated by a time-stratified case-crossover analysis with conditional Poisson distributed lag models. Overall, acute exposure to the pollutants, except for O3, was positively associated with an increased risk of all admissions. For each interquartile range (IQR) increase in PM2.5, PM10, SO2, NO2 and CO, the risk of CVD admissions increased by 0.5% (RR=1.005; 95% CI: 0.998, 1.012) at lag0, 2.9% (RR=1.029; 95% CI: 1.014, 1.044), 2.5% (RR=1.025; 95% CI: 1.010, 1.040), 4.1% (RR=1.041; 95% CI: 1.016, 1.068) and 0.3% (RR=1.003; 95% CI: 0.995, 1.012) at lag01, respectively. Subgroup analyses showed greater risks of CVD admissions for women and people aged <65 years, in the cold season, and after the raw coal ban period. During the cold winter season, Ulaanbaatar’s AAP levels remained higher than the World Health Organization’s guidelines, regardless of consuming the new coal briquettes. Adopting alternative efficient methods to improve air quality and associated health outcomes is necessary.