Average PM10 Levels Research Articles

Fine Particulate Matter Components and Risk of Rheumatoid Arthritis: A Large General Canadian Open Cohort Study.

Exposure to fine particulate matter (PM2.5) has been linked to many diseases. However, it remains unclear which PM2.5 chemical components for these diseases, including rheumatoid arthritis (RA), are more harmful. This study aimed to assess potential associations between PM2.5 components and RA and quantify the individual effects of each chemical component on RA risk. An open cohort of 11,696,930 Canadian adults was assembled using Ontario administrative health data from January 2007 onward. Individuals were followed until RA onset, death, emigration from Ontario, or the end of the study (December 2019). Incident RA cases were defined by physician billing and hospitalization discharge diagnostic codes. The average levels of PM2.5 components (ammonium, black carbon, mineral dust, nitrate, organic matter, sea salt, and sulfate) for 5 years before cohort entry were assigned to participants based on residential postal codes. A quantile g-computation and Cox proportional hazard models for time to RA onset were developed for the mixture of PM2.5 components and environmental overall PM2.5, respectively. We identified 67,676 new RA cases across 130,934,256 person-years. The adjusted hazard ratios for the time to RA onset were 1.027 and 1.023 (95% confidence intervals 1.021-1.033 and 1.017-1.029) per every decile increase in exposures to all seven components and per 1 μg/m3 increase in the overall PM2.5, respectively. Ammonium contributed the most to RA onset in the seven components. Exposure to PM2.5 components was modestly associated with RA risk. Public health efforts focusing on specific components (eg, ammonium) may be a more efficient way to reduce RA burden.

Specific biomass burning tracers in air pollution in Zagreb, Croatia

Biomass burning is considered a renewable energy source whose household usage is rapidly increasing throughout Europe, largely encouraged by the rising cost of other energy sources. With all the advantages that characterize such an energy source, there are several disadvantages mostly from the air quality standpoint, and consequently with regard to the influence it may have on human health and climate change. Considering the side effects of air pollution, it is important to identify the composition and sources of air pollutants precisely. This study investigated the presence of biomass combustion-specific tracers in the air of Zagreb, Croatia, a city affected by increased air pollution mostly during wintertime. Biomass burning markers in terms of anhydrosugars, namely levoglucosan, mannosan, and galactosan were monitored in particulate matter PM10. A sampling of PM10 particulate matter was conducted in parallel at measuring stations in the northern and southern part of the city during 30 days in each season in 2020. The results showed a significant seasonal difference in PM10 and anhydrosugar levels at both measuring stations with the same seasonal trend decreasing as follows: winter, autumn, spring, summer. Both PM10 and anhydrosugar concentrations were higher in the southern compared to the northern station. Average winter PM10 levels were 58 μg m−3 at the southern and 51 μg m−3 at the northern station, while average levoglucosan levels were 3.68 and 1.64 μg m−3 at the southern and northern stations, respectively. An average levoglucosan/PM10 contribution of 6.3 % was determined at the southern, and 3.2 % at the northern measuring station. The differences in contribution can be explained by areas more populated by households using biomass for residential heating, the dominant wind direction in the area, and influences from other districts, including long- or close-range transport. Linear regression indicated a weak correlation (R2 = 0.32) of anhydrosugars between the stations.

Association Between Long‑Term Exposure to Air Pollution and the Rate of Mortality After Hip Fracture Surgery in Patients Older Than 60 Years: Nationwide Cohort Study in Taiwan.

To enhance postoperative patient survival, particularly in older adults, understanding the predictors of mortality following hip fracture becomes paramount. Air pollution, a prominent global environmental issue, has been linked to heightened morbidity and mortality across a spectrum of diseases. Nevertheless, the precise impact of air pollution on hip fracture outcomes remains elusive. This retrospective study aims to comprehensively investigate the profound influence of a decade-long exposure to 12 diverse air pollutants on the risk of post-hip fracture mortality among older Taiwanese patients (older than 60 years). We hypothesized that enduring long-term exposure to air pollution would significantly elevate the 1-year mortality rate following hip fracture surgery. From Taiwan's National Health Insurance Research Database, we obtained the data of patients who underwent hip fracture surgery between July 1, 2003, and December 31, 2013. Using patients' insurance registration data, we estimated their cumulative exposure levels to sulfur dioxide (SO2), carbon dioxide (CO2), carbon monoxide (CO), ozone (O3), particulate matter having a size of <10 μm (PM10), particulate matter having a size of <2.5 μm (PM2.5), nitrogen oxides (NOX), nitrogen monoxide (NO), nitrogen dioxide (NO2), total hydrocarbons (THC), nonmethane hydrocarbons (NMHC), and methane (CH4). We quantified the dose-response relationship between these air pollutants and the risk of mortality by calculating hazard ratios associated with a 1 SD increase in exposure levels over a decade. Long-term exposure to SO2, CO, PM10, PM2.5, NOX, NO, NO2, THC, NMHC, and CH4 demonstrated significant associations with heightened all-cause mortality risk within 1 year post hip fracture surgery among older adults. For older adults, each 1 SD increment in the average exposure levels of SO2, CO, PM10, PM2.5, NOX, NO, NO2, THC, NMHC, and CH4 corresponded to a substantial escalation in mortality risk, with increments of 14%, 49%, 18%, 12%, 41%, 33%, 38%, 20%, 9%, and 26%, respectively. We further noted a 35% reduction in the hazard ratio for O3 exposure suggesting a potential protective effect, along with a trend of potentially protective effects of CO2. This comprehensive nationwide retrospective study, grounded in a population-based approach, demonstrated that long-term exposure to specific air pollutants significantly increased the risk of all-cause mortality within 1 year after hip fracture surgery in older Taiwanese adults. A reduction in the levels of SO2, CO, PM10, PM2.5, NOX, NO, NO2, THC, NMHC, and CH4 may reduce the risk of mortality after hip fracture surgery. This study provides robust evidence and highlights the substantial impact of air pollution on the outcomes of hip fractures.

Respiratory infection transmission risk and indoor air quality at outpatient departments and emergency treatment units of Sri Lankan teaching hospitals.

Indoor carbon dioxide (CO2) concentration has been used as a proxy of the degree of ventilation and, by extension, as an indicator of the risk of contracting respiratory infections. No publications exist regarding indoor air quality (IAQ) parameters of Sri Lankan hospitals.We measured the levels of CO2 and seven other IAQ parameters during morning rush hours for three days, in outpatient departments (OPDs) and emergency treatment units (ETUs) of all 21 teaching hospitals of Sri Lanka. We measured the same parameters of outdoor air also. We calculated the mean values of those parameters. We looked for correlations between outdoors and OPD and ETU levels of selected air quality parameters.The average CO2 levels of outdoors, OPDs and ETUs respectively were 514ppm (ppm = parts per million), 749ppm and 795ppm. The average levels of PM2.5 (particulate matter with diameters <2.5μm) outdoors, OPDs and ETUs respectively, were 28.7μg/m3,32μg/m3 and 25.6 μg/m3. The average levels of PM10 (particulate matter with diameters <10μm) outdoors, OPDs and ETUs respectively, were 49.4μg/m3, 55.5μg/m3 and 47.9 μg/m3. The median levels of formaldehyde outdoors, OPDs and ETUs respectively, were 0.03mg/m3, 0.04mg/m3 and 0.08mg/m3. The median levels of total volatile organic compounds (VOC) outdoors, OPDs and ETUs respectively were 0.12mg/m3, 0.19mg/m3 and 0.38mg/m3.CO2 levels of air in OPDs and ETUs generally were below the national ceilings but above the ceilings used by some developed countries. Outdoors, OPDs and ETUs air contain PM10, PM2.5 levels higher than WHO ceilings, although below the national ceilings. VOC and formaldehyde levels are generally below the national ceilings. Air in OPDs and ETUs is hotter and humid than national ceilings. Outdoor PM10, PM2.5 levels influence OPDs and ETUs levels. We propose methods to reduce the risk of nosocomial respiratory infections and to improve IAQ of Sri Lankan OPDs and ETUs.

Air quality and characterization of synoptic circulation weather patterns in a South American city from Argentina

The potential cause-effect relationship between synoptic meteorological conditions and levels of criteria air pollutants, including CO, NO2, O3, PM10, PM2.5 and SO2, in Bahia Blanca, Argentina, was assessed for the period of 2018–2019. Daily back-trajectories and global meteorological data fields were employed to characterize the primary transport paths of air masses reaching the study site, and to identify the synoptic meteorological patterns responsible for these atmospheric circulations. Time series of surface-level meteorological parameters and midday mixing layer height were collected to examine the impact of the synoptic meteorological patterns on local meteorology. Furthermore, the NAAPS global aerosol model was utilized to identify days when contributions from long-range transport processes, such as dust and/or biomass burning smoke, impacted air quality. By applying this methodology, it was determined that the air masses coming from the N, NW and W regions significantly contributed to increased mean concentrations of coarse particles in this area through long-range transport events involving dust and smoke. Indeed, the high average levels of PM10 recorded in 2018–2019 (annual mean values of 47 and 52 μg/m3, respectively) represent the main air quality concern in Bahía Blanca. Moreover, PM10, PM2.5 and NO2 emissions should be reduced in order to meet recommended air quality guidelines. On the other hand, the results from this study suggest that the sources and meteorological processes leading to the increase in the concentrations of CO and SO2 have a local-regional origin, although these air pollutants did not reach high values probably as a consequence of the strong wind speed registered in this region during any synoptic meteorological pattern.

Atmospheric PM2.5 before and After Lockdown in Relation to COVID-19 Evolution and Daily Viral Counts: Could Viral Natural Selection Have Occurred due to Changes in the Airborne Pollutant PM2.5?

Background: Genes coding for SARS-CoV-2 have been detected on the microscopic airborne pollutant particulate matter, which has been suggested as a vector and co-factor for COVID-19 transmission. Lockdown in China has been shown to be associated with significant reduction in pollution including the particulate matter component which coincided with the appearance of a viral mutant (Clade G) which steadily displaced the original Clade D after lockdown. The reason why Clade G developed a fitness advantage is as yet unknown. This paper examines the possible role of airborne particulate matter PM2.5 as selective pressure determining viral Clade predominance and further shedding light on the mode of SARS-CoV-2 transmission. Methods: The average levels of PM2.5 of a number of cities were obtained from the Air Quality Index (AQI), a real-time assessment of atmospheric pollution. The daily average PM2.5 levels were assessed between January 23rd and April 29th 2020 determined by the timeline when viral counts in Beijing and other cities were available. Daily viral counts of Clades D and G were available starting from the 12th February as determined by the scientific literature published in August 2020. The cities chosen were Beijing, Sheffield, Nottingham, Sydney and Cambridge because of their substantially elevated viral counts compared to other cities. Cities as opposed to vaster areas/nations were chosen as PM2.5 levels vary across regions and countries. Results: For the time period assessed, the Beijing PM2.5 pattern initiated with highly elevated mean PM2.5 levels of 147.5µg/ m3 (SD+/-70.5) during high viral counts, followed by 98.5µg/m3 (SD+/-50.7) (p&lt;0.007) when the viral counts decreased. In all the other cities assessed, the pattern differed whereby the PM2.5 levels increased significantly over the preceding baseline contemporaneously with the viral count rise. The changes in these cities’ PM2.5 levels were on average 34.4µg/m3 before viral counts rose and 46.0µg/m3 contemporaneous with viral count rise. As regards the viral counts from data retrieved from Beijing, the latter part of the bell-shaped curve and a subsequent smaller curve of the viral count was available for evaluation. The average viral count for Clade D in Beijing was 11.1(SD+/-13.5) followed by a mean viral count for Clade G was 13.8(SD+/- 9.2). Conversely in all the other cities besides Beijing, the viral counts averaged 45.8 for Clade D and 161 for Clade G. The variation in viral counts between cities suggests the strong possibility of variation in the availability of sampling between cities. The newer variant, Clade G demonstrated viral counts initially appearing in mid-February in Beijing to later displace Clade D as the dominant viral Clade. The appearance of Clade G coincided with the decreasing gradient of PM2.5 levels. A number of significant correlations were obtained between PM2.5 levels and the viral count in all the cities reviewed. Conclusion: COVID-19 viral counts appear to increase concomitant with increasing PM2.5 levels. Viral counts of both Clades correlated differentially with PM2.5 levels in all the cities assessed. The significantly highly elevated PM2.5 levels in Beijing resulted in correlating mainly with Clade D, however Clade G began to appear with decreasing PM2.5 levels, suggesting the beginnings for the initial SARS-CoV-2 Clade evolution. Clade G, the newer variant was able to flourish at lower levels of PM2.5 than Clade D. Clade G may possibly have utilized other sources of particulate matter as a viral vector, and co-factor such as that derived from tobacco smoking, whereby 66% of Chinese males are smokers and 70% of the Chinese non-smoking population are exposed to 2nd hand smoking.

Ambient particulate matter air pollution exposure and ovarian cancer incidence in the USA: An ecological study.

To investigate associations between air particulate matter of ≤2.5 μm in diameter (PM2.5 ) and ovarian cancer. County-level ecological study. Surveillance, epidemiology, and end results from a collection of state-level cancer registries across 744 counties. Data from the Environmental Protection Agency's network for PM2.5 monitoring was used to calculate trailing 5- and 10-year PM2.5 county-level values. County-level data on demographic characteristics were obtained from the American Community Survey. A total of 98 751 patients with histologically confirmed ovarian cancer as a primary malignancy from 2000 to 2016. Generalised linear regression models were developed to estimate the association between PM2.5 and PM10 levels, over 5- and 10-year periods of exposure, and ovarian cancer risk, after accounting for county-level covariates. Risk ratios for associations between ovarian cancer (both overall and specifically epithelial ovarian cancer) and PM2.5 levels. For the 744 counties included, the average PM2.5 level from 1990 through 2018 was 11.75 μg/m3 (SD = 3.7) and the average PM10 level was 22.7 μg/m3 (SD = 5.7). After adjusting for county-level covariates, the overall annualised ovarian cancer incidence was significantly associated with increases in 5-year PM2.5 (RR = 1.11 per 10 units (μg/m3 ) increase, 95% CI 1.06-1.16). Similarly, when the analysis was limited to epithelial cell tumours and adjusted for county-level covariates there was a significant association with trailing 5-year PM2.5 exposure models (RR = 1.12 per 10 units increase, 95% CI 1.08-1.17). Likewise, 10-year PM2.5 exposure was associated with ovarian cancer overall and with epithelial ovarian cancer. Higher county-level ambient PM2.5 levels are associated with 5- and 10-year incidences of ovarian cancer, as measurable in an ecological study.

Investigating the performance of urban air quality monitoring station in measuring PM2.5 and PM10: A case study in Tehran, Iran

Background: In recent years, new findings on the relationship between human health and air pollutants have emerged, underscoring the necessity for appropriate site selection of air monitoring stations. Methods: This analytical-cross-sectional study aimed to compare the concentration levels of PM10 and PM2.5, as measured by weight method, with data collected from an air quality monitoring station (AQMS) in Tehran. Initially, data were collected from the Tarbiat Modares AQMS. The accuracy of this data was then evaluated using a high-volume sampler and Grimm dust monitor situated approximately 200 meters away from the Tarbiat Modares station. The study period was between June 2017 and October 2017, and the frequency of sampling was every six days according to the instructions. Results: The results revealed that the average concentration levels of PM10, as measured during the sampling period by the high-volume sampler, the Grimm device, and the air quality measurement station, were 143.54±33.84, 70.95±7.06, and 110.06±27.08 µg.m-3, respectively. The highest daily concentration of PM10 was recorded by the high-volume sampler device at 197.12 µg.m-3. Conclusion: This study found a weak correlation between the aerosol concentration data obtained from the monitoring station and those obtained from the Grimm device and the high-volume sampler. Therefore, it is crucial to ensure the quality control and assurance of data collected from monitoring stations for accurate decision-making and planning.

Prevalence of chronic obstructive pulmonary disease and associated factors among small-holder fish vendors along coastal areas in Tanzania

BackgroundIn Tanzania little is known about how the respiratory system of small-holder fish vendors is affected by occupational exposure to biomass smoke and other associated factors. This study assessed the prevalence of lung obstruction and associated factors among small-holder fish vendors along coastal areas in Tanzania.MethodsA cross-sectional descriptive study was conducted in Bagamoyo and Kunduchi fish markets along coastal areas of Tanzania. Environmental air pollutant levels and composition were measured using a hand-held device. A standardized questionnaire was used to assess respiratory symptoms while EasyOne spirometer was used to test for lung function among small-holder fish vendors. Chronic Obstructive Pulmonary Disease (COPD) was defined as FEV1/FVC below the lower limit of normal. Data were analyzed using STATA Version 17. Descriptive statistics was performed and logistic regression analysis was used to determine factors that are associated with poor lung function presented as crude and adjusted odds ratio and their 95% confidence intervals.ResultsA total of 103 participants were included in the study who were predominantly males 82 (79.6%). The participants’ mean age was 35.47 (± 8.77 SD) years. The hourly average concentration levels of PM1, PM2.5, PM10, and CO exposure during fish frying were 653.6 (± 206.3 SD) μg/m3, 748.48 (± 200.6 SD) μg/m3, 798.66 (± 181.71 SD) μg/m3 and 62.6 (± 12.3 SD) ppm respectively which are higher than the WHO recommended limits. The prevalence of COPD was found to be 32.04% (95% CI 0.23–0.42). Most of the participants reported respiratory symptoms like coughing, wheezing, sputum production and breathlessness during performing their daily activities.ConclusionFindings suggest that three out of ten participants had COPD and the major environmental air pollutants (PMs and CO) concentration levels were too high, suggesting that occupational exposure to biomass smoke may be a risk factor. This calls for effective approaches to reduce exposure and prevent known acute and chronic respiratory diseases that are associated with such exposure to air pollutants. Also the study calls for follow up or cohort studies to be conducted in this area.

In-kitchen particulate matter emissions in high schools in the Kumasi metropolis, Ghana: Levels and the health risk assessment

Institutional kitchens, such as high school kitchens in developing countries like Ghana, heavily rely on biomass fuel to provide meals for students and staff. This study investigated the levels of Particulate Matter 10 (PM10) and Particulate Matter 2.5 (PM2.5) in 14 biomass-fueled and six liquefied petroleum gas (LPG)-fueled high school kitchens within the Kumasi metropolis of Ghana. Real-time monitoring of fine (PM2.5) and coarse (PM10) particulate matter was done during an occupational duration of eight hours in the school kitchens. The average levels of PM10 in the biomass-fueled and LPG-fueled school kitchens varied from 0.27 to 1.76 mg/m3 and 0.12 to 0.24 mg/m3, respectively. Average levels of PM2.5 in the biomass-fueled and LPG-fueled school kitchens ranged from 0.18 to 1.25 mg/m3 and 0.11 to 0.22 mg/m3, respectively. The average levels of PM10 and PM2.5 in the school kitchens were above the World Health Organization's (WHO) daily limits for particulate matter. A greater fraction of the particular matter measured in the school kitchens was fine particles. The study's health risk assessment suggested possible non-cancer health risks for cooks in both LPG and biomass-fueled kitchens. Expedited action is therefore needed to transition similar institutional kitchens in developing nations to cleaner cookstoves and fuels.

Assessment of air quality in Lucknow, India during the festival of Diwali for four successive years amid the COVID-19 pandemic lockdown

The purpose of this research is to assess the impact of Diwali crackers on air quality in Lucknow, India. The monitoring of PM10, PM2.5, NOX and SOX was carried out in residential areas for Pre-Diwali (Pre-D), Diwali and Post-Diwali (Post-D) during four consecutive years. The variation in average levels of PM2.5, PM10, SO2 and NO2 were recorded during Diwali celebrations of 2019(1.59, 1.51, 1.66 and 1.39), 2020(1.75, 1.65, 1.24 and 1.29), 2021(1.65, 1.56, 1.53 and 1.38) and 2022(1.58, 1.53, 1.45 and 1.42) times higher, respectively than Pre-D. Similarly, during Post-D in 2019(1.21, 1.16, 0.98 and 0.98), 2020(1.18, 1.03, 0.92 and 0.88), 2021(1.15, 1.08, 0.99 and 0.96) and 2022(1.59, 1.07, 1.01 and 0.98) times higher, respectively regarding to Pre-D. The level of PM2.5, PM10, SO2, and NO2 during Diwali were found higher in 2019(1.44, 1.21, 1.52 and 1.37)*, 2020(1.29, 1.12, 1.35 and 1.17)** and 2022(1.38, 1.15, 144 and 1.31) respectively, concerning to 2020. However, AQI level during Pre-D*, Diwali** and Post-D were surges in 2019(23%*, 21%** and 30%), 2021(15%*, 13%** and 16%)** and 2022(20%*, 16%*, and 19%) respectively than 2020, due to burning of firecrackers. However, significant decline in air pollutants (APs) in 2020 was attributed due to controlled use of firecrackers along with restricted anthropogenic activities because of nationwide lockdown. The result indicates, the concentration of APs was significantly increased due to firecrackers during Diwali 2019–2022. This study will be helpful for many policy makers and concerned authorities to proper implementation of pollution management strategies to reduce this phenomenon.

Personal measurements and sampling of particulate matter in a subway – Identification of hot-spots, spatio-temporal variability and sources of pollutants

A mobile measurement system for complex characterization of particulate matter (PM) was developed together with the proposed methodology and applied in the subway system of Munich, Germany. The main objectives were to observe the spatio-temporal variability of PM, personal exposure, identify hot-spots and pollution sources. Particle mass (PMx) and number (PNC) concentrations, and equivalent black carbon (eBC) were measured at 0.1–1 Hz. On the U5 subway line, PM10, PM2.5 and PM1 concentrations at platforms ranged from 59 to 220, 27–80, and 9–21 μg m−3, respectively. During rides towards downtown, average PM10, PM2.5 and PM1 levels gradually increased from 8 to 220, 2 to 71 and 2–20 μg m−3, respectively, with a similar dynamic of decrease on the return journey. Spatial variability of PM was generally more important than temporal, and significant differences were observed between platforms. During the rides, air exchange between train and tunnel was high in both air-conditioned and old passively ventilated trains. Peak PM concentrations on platforms were associated with arriving/departing trains. Subway PNC were not significantly elevated, but a few cases of intake of traffic-related particles from outside were observed, otherwise air exchange was considered low. Generally, most of the aerosol mass was composed of iron corrosion products from rails and wheels (Fe up to 66 μg m−3 in PM2.5). The effective density of PM2.5 was 2.1 g cm−3. Particles were classified as 75.4% iron oxides, 5.35% metallic Fe, 1.23% aluminosilicates and 17% carbon and oxygen rich particles. The iron oxide particles consisted predominantly of Fe (63.4 ± 8.7 wt%) and O (36.2 ± 8.2 wt%). To effectively monitor subway PM and reduce overall PM exposure, we propose to identify hot-spots using our methodology and focus on improving their ventilation, as well as installing filters in air-conditioned wagons.

Evidence for an association of prenatal exposure to particulate matter with clinical severity of Autism Spectrum Disorder

Early-life exposure to air pollutants, including ozone (O3), particulate matter (PM2.5 or PM10, depending on diameter of particles), nitrogen dioxide (NO2) and sulfur dioxide (SO2) has been suggested to contribute to the etiology of Autism Spectrum Disorder (ASD). In this study, we used air quality monitoring data to examine whether mothers of children with ASD were exposed to high levels of air pollutants during critical periods of pregnancy, and if higher exposure levels may lead to a higher clinical severity in their offspring. We used public data from the Portuguese Environment Agency to estimate exposure to these pollutants during the first, second and third trimesters of pregnancy, full pregnancy and first year of life of the child, for 217 subjects with ASD born between 2003 and 2016. These subjects were stratified in two subgroups according to clinical severity, as defined by the Autism Diagnostic Observational Schedule (ADOS). For all time periods, the average levels of PM2.5, PM10 and NO2 to which the subjects were exposed were within the admissible levels defined by the European Union. However, a fraction of these subjects showed exposure to levels of PM2.5 and PM10 above the admissible threshold. A higher clinical severity was associated with higher exposure to PM2.5 (p = 0.001), NO2 (p = 0.011) and PM10 (p = 0.041) during the first trimester of pregnancy, when compared with milder clinical severity. After logistic regression, associations with higher clinical severity were identified for PM2.5 exposure during the first trimester (p = 0.002; OR = 1.14, 95%CI: 1.05–1.23) and full pregnancy (p = 0.04; OR = 1.07, 95%CI: 1.00–1.15) and for PM10 (p = 0.02; OR = 1.07, 95%CI: 1.01–1.14) exposure during the third trimester. Exposure to PM is known to elicit neuropathological mechanisms associated with ASD, including neuroinflammation, mitochondrial disruptions, oxidative stress and epigenetic changes. These results offer new insights on the impact of early-life exposure to PM in ASD clinical severity.

Influence of Particulate Matter on Asthma Control in Adult Asthma

No clear evidence shows the association between particulate matter (PM) with an aerodynamic diameter &lt; 10 µm (PM10) and asthma control. Therefore, the objective of this study was to determine the association between PM10 and asthma control. A retrospective observational study was conducted at the Airway Clinic, Chiang Mai University Hospital, Chiang Mai, Thailand, between January 2010 and April 2013. Various values of asthma control test (ACT) scores between high and low PM10 periods were analyzed. The association of an increased monthly average PM10 level and ACT score was analyzed using a time series analysis. There were a total of 1180 visits from 236 asthmatic patients. The monthly average ACT score was significantly lower in the high PM10 period compared with the low PM10 period. Every 10 µg/m3 increment of monthly average PM10 resulted in a significantly decreased ACT score at lag zero and one month, with an adjusted coefficient of –0.101 (95% CI; –0.165, –0.037), p-value = 0.002 and –0.079 (95% CI; –0.147, –0.012), p-value = 0.021, respectively. Monthly average PM10 significantly affected asthma control in asthmatic patients. During the air pollution period, the serial assessments of ACT should be measured for early detection of worsening asthma control.

Contributions of Biomass Burning Events to Daily PM10 Concentrations and The Short-Term Associations with Hospital Admissions in Malaysia

Background and Aim: Despite serious biomass burning in the Southeast Asian region, there is a lack of epidemiological studies that directly evaluate the health effects of particulate matter attributed to biomass burning. This study aims to estimate the short-term effects of particulate matter &amp;#x2264;10µm (PM₁₀) on hospital admissions in Peninsular Malaysia, distinguishing between PM₁₀ originating from biomass burning and other sources. Methods: We identified biomass burning by evaluating daily hotspot information from MODIS satellite sensor and the HYSPLIT backward wind trajectories at five districts during 2005 – 2015. Days with wind trajectories passing through biomass burning were known as &amp;#x22;haze days”. We estimated PM₁₀ concentrations attributed to biomass burning by decomposing total concentrations using the moving mean of PM₁₀ on non-haze days. We fitted district-specific quasi-Poisson regression models to estimate associations of PM₁₀ attributable to biomass burning and non-biomass burning with daily hospitalizations due to respiratory and cardiovascular diseases (ICD-10: J00-J99 and I00-I99, respectively). To obtain a regional average, we pooled district-specific results using random-effects meta-analysis. Results: We analyzed respiratory (210,960 cases) and cardiovascular (178,952 cases) hospitalizations. On average, 50% of study period was identified as haze days (PM₁₀ due to biomass burning &amp;#x3e;0µg/m³). Average PM₁₀ levels attributed to biomass burning and non-biomass burning were 6.6µg/m³ (SD: 51.7) and 41.6µg/m³ (SD: 20.6) respectively. Increases of 10µg/m³ biomass burning PM₁₀ and non-biomass burning PM₁₀ during non-haze day (lag 0–1 days) were associated with increases in respiratory hospital admissions of 0.44% (95% CI: 0.06, 0.82%) and 0.86% (95% CI: 0.31, 1.41%), respectively. We could not see any significant associations for cardiovascular hospital admissions. District-specific estimates of the associations appeared to be homogeneous. Conclusions: PM₁₀ from both biomass burning and other emission sources were positively associated with respiratory hospitalizations in Peninsular Malaysia. Keywords: Biomass burning event, Particulate matter, Hospital admission, Respiratory disease

Indoor Air Quality in Public Health Centers: A Case Study of Public Health Centers Located on Main and Secondary Roadsides, Bangkok

This cross-sectional study investigated the indoor air quality (IAQ) of public health centers (PHCs) and primary health care units in Bangkok to determine the impact of the different locations and ventilation systems concerning IAQ. Three indoor air pollutants: PM2.5, CO2, and CO were measured in three areas (medical record departments, outpatient departments and examination rooms) of six PHCs located in two different locations (main and secondary roadsides). The results showed that the average levels of PM2.5, CO2, and CO in the PHCs located on main roadsides were higher than those located on secondary roadsides. Among these parameters, only CO was found to significantly differ between those two locations indicating the result of vehicles and traffic sources regarding indoor CO level. Furthermore, all parameters were compared among the sampling areas with different ventilation systems; natural ventilation and air conditioner with and without ventilation fan. The amounts of all three pollutants significantly differed in each area with different ventilation systems. The average levels of PM2.5 and CO2 were the highest in areas with air conditioner without ventilation fan, while the level of CO was the highest in areas with natural ventilation. The ventilation was proved to be a key measure to improve IAQ. PHCs should consider ventilation efficacy to improve the IAQ by using ventilation fans in rooms using air conditioners. Finally, the average levels of all parameters were found below the recommended values in related standards, indicating safe IAQ for people working and receiving services in PHCs.

A correlational analysis of COVID-19 incidence and mortality and urban determinants of vitamin D status across the London boroughs

One of the biggest challenges of the COVID-19 pandemic is the heterogeneity in disease severity exhibited amongst patients. Among multiple factors, latest studies suggest vitamin D deficiency and pre-existing health conditions to be major contributors to death from COVID-19. It is known that certain urban form attributes can impact sun exposure and vitamin D synthesis. Also, long-term exposure to air pollution can play an independent role in vitamin D deficiency. We conducted a correlational analysis of urban form and air quality in relation to the demographics and COVID-19 incidence and mortality across 32 London boroughs between March 2020 and January 2021. We found total population, number of residents of Asian ethnicity, 4-year average PM10 levels and road length to be positively correlated with COVID-19 cases and deaths. We also found percentage of households with access to total open space to be negatively correlated with COVID-19 deaths. Our findings link COVID-19 incidence and mortality across London with environmental variables linked to vitamin D status. Our study is entirely based on publicly available data and provides a reference framework for further research as more data are gathered and the syndemic dimension of COVID-19 becomes increasingly relevant in connection to health inequalities within large urban areas.

Abstract 1437: Ambient air pollution and risk of prostate cancer: The multiethnic cohort study

Abstract Previous epidemiological evidence on air pollution and prostate cancer risk is limited, with few studies examining the time varying effects of air-pollution, and primarily among whites in the US and Canada. To further our understanding on this topic, we assessed ambient air pollutants in relation to prostate cancer incidence in a large multi-ethnic population. We included 33,830 men aged 45 years or older at baseline (1993-1996) who resided in Southern California at enrollment in the Multiethnic Cohort (24.5% African American, 15.1% Japanese American, 48.4% Latino, 0.2% Native Hawaiian, and 11.8% White). Until 2016, with a median of 20 years of follow-up, 4,540 prostate cancer cases were identified by linkage to the California SEER cancer registry. Monthly exposures to particulate matter with aerodynamic diameter ≤ 10 μm (PM10) and nitrogen oxides (NOx) per participant were estimated by Kriging interpolation based on air-monitoring data and residential addresses. We used Cox proportional hazards models to estimate the association between time-varying air-pollutant levels and prostate cancer risk, using age in months as the time metric. We adjusted for neighborhood socioeconomic status (nSES) at baseline and current nSES at event, education, race/ethnicity, smoking pack years, BMI, diabetes status, asthma history, and family history of prostate cancer, using age at cohort entry as the strata variable. The average NOx and PM10 over the study period was 73.1 parts per billion (ppb) and 38.1 μg/m3 in prostate cancer cases, respectively, and 60.9 ppb and 35.5 μg/m3 in men without prostate cancer, respectively. Across racial/ethnic groups, African Americans had the highest average NOx levels (74.3ppb) and Latinos had the highest average PM10 levels (39.0 μg/m3) over the study period. In the overall population, NOx per 50 ppb was statistically significantly associated with an increased risk of prostate cancer [hazard ratio (HR)=1.12, 95% confidence interval (CI): 1.01-1.25] and PM10 per 10 μg/m3 was associated with a suggestive increased risk (HR=1.07, 95%CI: 0.99-1.16). In analysis by race/ethnicity, statistically significant positive associations with NOx (HR=1.25, 95%CI: 1.07-1.46) and PM10 (HR=1.21, 95%CI: 1.07-1.38) were detected among African American, but not consistently in other racial/ethnic groups. In a subset of 21,537 men with no residential moves over the follow-up period, we observed positive associations for both NOx and PM10 similar to those among all men. In conclusion, our results suggest that both NOx and PM10 are associated with an increased risk of prostate cancer. Analyses of other air pollutants in relation to prostate cancer risk and disease aggressiveness are ongoing. Citation Format: Anqi Wang, Chiu-chen Tseng, Heather Rose, Iona Cheng, Anna H. Wu, Christopher A. Haiman. Ambient air pollution and risk of prostate cancer: The multiethnic cohort study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1437.

Long-term exposure to air pollution increases hip fracture incidence rate and related mortality: analysis of National Hip Fracture Database

Until now, the influence of air pollution on bone mineral density and associated fractures has drawn little attention, and the consequences are controversial. To investigate the association between air pollution and hip fracture incidence and related short-term mortality. We constructed a cohort of all the National Hip Fracture Database beneficiaries (513,540 patients) in the UK from 2013 to 2018. Per year averages of PM2.5, PM10, O3, NO2, and SO2 were estimated according to the person's residence. The incidence rate ratio with 95% confidence interval and all-cause mortality within 30-day post-fracture (ACM30D) rate ratios were estimated using generalized additive models. The average levels of PM2.5, PM10, and NO2 exhibited a positive association with the incidence rate of hip fracture (IHF) and ACM30D. Whereas, this association was negative for O3 levels. Each increase of 5 μg per cubic meter in PM2.5, PM10, and NO2 leads to 9.5%, 9.2%, and 4.1% higher hip fracture rate, respectively, and also 9.3%, 8.3%, and 2.9% higher ACM30D, respectively. When we restricted the analysis to low-level exposure of air pollutants, similar results were obtained. Our study found a moderate, positive association between IHF, ACM30D, and the levels of specific air pollutants in the entire National Hip Fracture Database population. A reduction in the levels of PM2.5, PM10, and NO2 may decrease the hip fracture incidence rate and associated short-term mortality in older adults. Our study highlights the influence of air pollution on hip fracture.

Dynamics of surgical smoke in the operating room during spinal surgery: Comparison of particulate matter 2.5-air concentration between the electric scalpel with and without a smoke evacuation pencil: A cross-sectional study

BackgroundSurgical smoke is a vaporous by-product generated during tissue incision and cauterization with an electric scalpel. This smoke contains tissue- and blood/vascular-derived substances, bacteria, viruses, and chemical substances. Among them, it contains many fine particles called particulate matter (PM) 2.5, which are harmful and hazardous to the human body. We aimed to investigate the occurrence of PM2.5 in surgical smoke produced during spinal surgery and to evaluate the efficacy of an electric scalpel with a smoke evacuation pencil. MethodsIn this retrospective observational study, 89 patients who underwent spinal surgery between June 2019 and May 2021 were included. A dust monitor was installed in the operating room to measure the PM2.5 air concentration during the surgery. During each surgery, the total amount of PM2.5, the maximum PM2.5 air concentration, the exposure time to PM2.5, and the average value of PM2.5 air concentration from the start to the end of the surgery were calculated. ResultsWe found that in 29 of the 89 cases (32.6%), the air concentration of PM2.5 increased to a level that could cause health damage during the surgery. Twelve cases (13.4%) reached the level that could cause serious health damage, and 8 cases (9%) reached an emergency warning level. The total amount and the maximum and average levels of PM2.5 were significantly suppressed in the surgery with a smoke evacuation pencil group than in the surgery without a smoke evacuation pencil group. ConclusionWe detected hazardous levels of PM2.5 in the air during spinal surgery, highlighting the importance of considering smoke control or reduction during spinal surgery. We recommend using an electric scalpel with a smoke evacuation pencil for regulating PM2.5 levels in the operating room.