Impact Of Air Pollution Research Articles

Air pollution and bank risk taking: Evidence from China

In the context of frequent environmental events that attract widespread attention, this paper investigates the impact of air pollution on bank risk-taking. Using the data of 105 city commercial banks in China from 2014 to 2021, our findings suggest that air pollution leads banks to reduce risk-taking, which is primarily driven by the frequency of extreme pollution days. Banks in cities with higher government environmental concern and those with smaller asset scale and lower risk resistance are relatively more sensitive to air pollution. The transparent environmental supervision weakens the effect of air pollution on bank risk-taking.

P30 Exposure to particulate matter induces structural and pigmentary changes to human skin

Abstract Introduction and aims The majority of the world’s population reside in places with high levels of air pollution. The impact of air pollution on human health has been extensively studied and demonstrates a significant correlation between particulate matter (PM) and risk of cardiovascular and respiratory diseases. However, little is known about the impact of air pollution on human skin health. Here, we develop an ex vivo skin model to investigate cutaneous changes induced by the topical application of PM. Methods PM (0, 0.5, 3, 6, 10, 20 and 40 μg mL−1) was topically applied to Genoskin® NativeSkin Access® (Genoskin, Salem, MA, USA) human ex vivo skin samples of White European ancestry (n = 3) for 8 days, with reapplication on day 4. Resultant samples were assessed using haematoxylin and eosin staining (for morphometric analyses), immunofluorescence for Ki67 and terminal deoxynucleotidyl transferase dUTP nick-end labelling (TUNEL) (to determine cellular turnover), while pigmentary changes were analysed by colourimetry, Warthin–Starry (WS) staining and immunohistochemistry for the melanin markers tyrosinase (TYR), gp100 and c-kit. Results Morphological assessment revealed that epidermal thickness was significantly reduced following exposure to higher doses of PM (r = −0.9163, P < 0.01). In addition, there was reduced epidermal cell proliferation (Ki67) and increased apoptosis (TUNEL) at higher doses of PM. Exposure to PM resulted in a dose-dependent decrease in individual typology angle, which is indicative of skin colour becoming darker (r = −0.7895, P < 0.05). Furthermore, WS staining demonstrated significantly increased epidermal melanin (r = 0.9583, P < 0.01) and significantly increased expression of melanin markers TYR (P < 0.01), gp100 (P < 0.001) and c-kit (P < 0.01) in response to PM exposure. Conclusions This study confirms that PM induces pigmentary changes to ex vivo human skin by increasing epidermal melanin. Increased expression of c-kit in response to PM exposure suggests that increased pigmentation occurs owing to the upregulation of the microphthalmia-associated transcription factor signalling pathway. Further investigation of the mechanistic drivers of increased pigmentation is warranted.

A study on Effect of Ambient Air Pollution from Roadside Traffic on Qualitative and Quantitative Phytochemical Constituents of Solanum tuberosum L.

Solanum tuberosum L. is a useful vegetable crop and a member of the Solanaceae family that yields starch molecules with a high concentration. The analysis of both qualitative and quantitative phytochemical substances was the main focus of the current investigation. We have chosen places with road traffic and without road traffic (control) for the crop comparison analysis. The qualitative phytochemical substances analysed protein, carbohydrate, iodine, phenol, tannin, flavonoids, saponin, glycosides, steroids, terpene, and alkaloids. The complete phenolic content exhibits a total mean value of 0.03712, surpassing the threshold of 0.03176, while the overall flavonoid content shows a total mean value of 0.04696, exceeding the threshold of 0.03764. Crops growing close to busy road traffic had lower phytochemical substances, in terms of quantity and quality. This record demonstrates the detrimental impact of air pollution caused by vehicles on crop vegetation. Crop vegetation differs between control and road traffic sites, according to data on both qualitative and quantitative phytochemical substances.

Air Pollution and Covid-19

Air quality stands out as an important determinant of health, as its degradation was associated with around 4.2 million premature deaths in 2019, primarily due to heart and respiratory problems. It is shown that the elderly, the children, and individuals with pre-existing health conditions are simultaneously more sensitive to the impacts of air pollution and Covid-19, due to their fragile immune systems. Scientific evidence has shown the consequences of exposure to air pollutants to respiratory system diseases, emphasizing that it could be an important factor in explaining the spatial pattern of Covid-19 incidence and mortality. The aim of this study is to analyze the spatial association between air pollutant PM₂.₅ and the incidence and mortality of Covid-19 during March and December of 2020 in mainland Portugal. Weighted geographical models (GWR), were applied to identify and understand patterns, as well as explanatory factors in this relationship. The results obtained through the GWR models reveal that the pollutant PM₂.₅ has an association that varies in space. The incidence rate is higher in the southern, central, and northern regions of the country. The results of this study contribute to the analysis and assessment of the impact of air pollutants on human health, specifically in relation to health outcomes associated with Covid-19. It became evident that the concentration of PM₂.₅ is an important factor in explaining Covid-19 incidence rate in Portugal.

Polluted air, smarter factories? China's robot imports shed light on a potential link

Robot-centered intelligent manufacturing is leading a new round of technological revolution and industrial change. Existing studies have neglected the impact of air pollution, a non-monetary factor, on firms' intelligent manufacturing transformation (FIMT). Using matched samples from China's industrial enterprise database and China's customs database, and based on enterprises' “machine replacing human” strategy, this paper reveals the facilitating effect of air pollution on FIMT. The robustness estimation results after endogeneity treatment, replacing the core variables, changing the clustering level, removing the policy influence, avoiding the interference of domestic robots, changing the estimation strategy, and restricting the import trade mode still support the conclusion. The mechanism by which air pollution accelerates FIMT lies in the first: the factor substitution effect of rising labor costs due to air pollution. The second is the skill-capital complementarity effect due to increased firms' human capital investment induced by air pollution. The third is the intelligent investment effect due to increased economic policy uncertainty induced by air pollution. In addition, air pollution accelerates FIMT more significantly in non-state-owned firms, high labor-intensity industries, and regions with high population aging. This paper argues that there is no conflict between environmental governance and intelligent manufacturing transformation. Air pollution and “machines replacing humans” in the labor market efficiency and fairness issues need attention.

Impact of air pollution and climate change on mental health outcomes: an umbrella review of global evidence.

The impact of air pollution and climate change on mental health has recently raised strong concerns. However, a comprehensive overview analyzing the existing evidence while addressing relevant biases is lacking. This umbrella review systematically searched the PubMed/Medline, Scopus and PsycINFO databases (up to June 26, 2023) for any systematic review with meta-analysis investigating the association of air pollution or climate change with mental health outcomes. We used the R metaumbrella package to calculate and stratify the credibility of the evidence according to criteria (i.e., convincing, highly suggestive, suggestive, or weak) that address several biases, complemented by sensitivity analyses. We included 32 systematic reviews with meta-analysis that examined 284 individual studies and 237 associations of exposures to air pollution or climate change hazards and mental health outcomes. Most associations (n=195, 82.3%) involved air pollution, while the rest (n=42, 17.7%) regarded climate change hazards (mostly focusing on temperature: n=35, 14.8%). Mental health outcomes in most associations (n=185, 78.1%) involved mental disorders, followed by suicidal behavior (n=29, 12.4%), access to mental health care services (n=9, 3.7%), mental disorders-related symptomatology (n=8, 3.3%), and multiple categories together (n=6, 2.5%). Twelve associations (5.0%) achieved convincing (class I) or highly suggestive (class II) evidence. Regarding exposures to air pollution, there was convincing (class I) evidence for the association between long-term exposure to solvents and a higher incidence of dementia or cognitive impairment (odds ratio, OR=1.139), and highly suggestive (class II) evidence for the association between long-term exposure to some pollutants and higher risk for cognitive disorders (higher incidence of dementia with high vs. low levels of carbon monoxide, CO: OR=1.587; higher incidence of vascular dementia per 1 μg/m3 increase of nitrogen oxides, NOx: hazard ratio, HR=1.004). There was also highly suggestive (class II) evidence for the association between exposure to airborne particulate matter with diameter ≤10μm (PM10) during the second trimester of pregnancy and the incidence of post-partum depression (OR=1.023 per 1 μg/m3 increase); and for the association between short-term exposure to sulfur dioxide (SO2) and schizophrenia relapse (risk ratio, RR=1.005 and 1.004 per 1 μg/m3 increase, respectively 5 and 7 days after exposure). Regarding climate change hazards, there was highly suggestive (class II) evidence for the association between short-term exposure to increased temperature and suicide- or mental disorders-related mortality (RR=1.024), suicidal behavior (RR=1.012), and hospital access (i.e., hospitalization or emergency department visits) due to suicidal behavior or mental disorders (RR=1.011) or mental disorders only (RR=1.009) (RR values per 1°C increase). There was also highly suggestive (class II) evidence for the association between short-term exposure to increased apparent temperature (i.e., the temperature equivalent perceived by humans) and suicidal behavior (RR=1.01 per 1°C increase). Finally, there was highly suggestive (class II) evidence for the association between the temporal proximity of cyclone exposure and severity of symptoms of post-traumatic stress disorder (r=0.275). Although most of the above associations were small in magnitude, they extend to the entire world population, and are therefore likely to have a substantial impact. This umbrella review classifies and quantifies for the first time the global negative impacts that air pollution and climate change can exert on mental health, identifying evidence-based targets that can inform future research and population health actions.

Comprehensive analysis of air pollution and the influence of meteorological factors: a case study of adiyaman province.

Adıyaman, a city recently affected by an earthquake, is facing significant air pollution challenges due to both anthropogenic activities and natural events. The sources of air pollution have been investigated using meteorological variables. Elevated southerly winds, especially prominent in spring and autumn, significantly contribute to dust transport, leading to a decline in local air quality as detected by the HYSPLIT model. Furthermore, using Suomi-NPP Thermal Anomaly satellite product, it is detected and analyzed for crop burning activities. Agricultural practices, including stubble burning, contribute to the exacerbation of PM10 pollution during the summer months, particularly when coupled with winds from all directions except the north. In fall and winter months, heating is identified as the primary cause of pollution. The city center located north of the station is the dominant source of pollution throughout all seasons. The study established the connection between air pollutants and meteorological variables. Furthermore, the Spearman correlation coefficients reveal associations between PM10 and SO2, indicating moderate positive correlations under pressure conditions (r = 0.35, 0.52). Conversely, a negative correlation is observed with windspeed (r = -0.35, -0.50), and temperature also exhibits a negative correlation (r = -0.39, -0.54). During atmospheric conditions with high pressure, PM10 and SO2 concentrations are respectively 41.2% and 117.2% higher. Furthermore, pollutant concentration levels are 29.2% and 53.3% higher on days with low winds. Last, practical strategies for mitigating air pollution have been thoroughly discussed and proposed. It is imperative that decision-makers engaged in city planning and renovation give careful consideration to the profound impact of air pollution on both public health and the environment, particularly in the aftermath of a recent major earthquake.

Association between ambient air pollution and biological aging among the middle-aged and older adults: a systematic review

Objective: To summarize and elucidate the impact of ambient air pollution on biological aging among middle-aged and older adults. Methods: "Air pollution""Biological age""Epigenetic age""Biological aging"and"Epigenetic aging", as well as specific names of air pollutants and biological age were used as search keywords. This study searched the databases of PubMed and Web of Science for eligible English articles and CNKI, CQVIP, Wanfang, CBM, CSTP and other Chinese databases for eligible Chinese articles from inception until June 30, 2023. The language was limited to Chinese and English. Results: Among the 14 included articles, five studies investigated the impact of air pollution on DNA methylation age using different algorithms, while six studies explored the relationship between air pollutants and telomere length. Six studies focused on frailty as an outcome, and an additional study revealed the relationship between fine particulate matter (PM2.5) and its components with composite indicator age (KDM age). The results indicated that, although different forms of biological ages were susceptible to different ambient air pollutants at different degrees, previous studies had consistently found that the increased levels of PM2.5 and one of its major components, black carbon (BC), could significantly accelerate the biological aging of middle-aged and older adults. Similar trends were observed with nitrogen oxides (NOx) and ozone (O3) but with relatively limited evidence. Conclusion: Major air pollutants could accelerate the biological aging of middle-aged and older adults.

Estimating potentially preventable ambient PM2.5-attributable adult deaths by improving air quality in Nepal

Air pollution is an important global environmental health risk factor, with many Asian countries experiencing alarming levels in recent decades. Nepal, a South Asian country, has been facing severe degradation in air quality in recent years, where data are scarce on the health impact of air pollution, especially at sub-national levels. In this study, we investigated ambient fine particulate matter (PM2.5)-attributable adult (≥25 years) premature mortality in Nepal, analyzed its long-term trend, and estimated potentially preventable adult mortality under different improved air quality scenarios defined using the World Health Organization's (WHO) interim targets (IT) and the air quality goal (AQG). Leveraging an open-source high-resolution PM2.5 dataset and an age-specific population dataset, we employed the Global Exposure Mortality Model to estimate mean and 95% confidence intervals of PM2.5-attributable adult mortality using Monte Carlo simulations. We estimated the country-level NCD + LRI (non-communicable diseases and lower respiratory infections) adult deaths attributable to PM2.5 exposure as 48881 (95% CI: 37175−61470), and the PM2.5-attributable NCD + LRI adult mortality rate as 267 (95% CI: 203−335) per 100000 in 2019. The adult mortality burden consistently increased during 2000–2019. Moreover, improving air quality to the WHO ITs and AQG could prevent an estimated 9690 (95% CI: 7698−11812) to 39419 (95% CI: 30311−49277) premature adult deaths across the country in 2019. Our findings suggest that the adult mortality burden due to air pollution in Nepal is substantial, which offers an opportunity to prevent a considerable number of premature adult deaths by mitigating air pollution in the country.

The Mist of corporate innovation

This study investigates the impact of air pollution on corporate innovation. Using the satellite generated Particulate Matter 2.5 concentration data in 390 cities in China over the period of 2000–2015, we find that severe air pollution (haze pollution) in a region may deteriorate the innovative performance of companies in the same region. Our results are robust to different air pollution and innovation measures. We employ both difference in differences and instrumental variable approaches to alleviate potential endogeneity concerns. In addition, we identify two possible mechanisms, reduced funds availability and loss of innovative talents, to explain the negative impact of air pollution on innovation.

Influence of meteorological variables and air pollutants on measurements from automatic pollen sampling devices

This study examines the influence of meteorological factors and air pollutants on the performance of automatic pollen monitoring devices, as part of the EUMETNET Autopollen COST ADOPT-intercomparison campaign held in Munich, Germany, during the 2021 pollen season. The campaign offered a unique opportunity to compare all automatic monitors available at the time, a Plair Rapid-E, a Hund-Wetzlar BAA500, an OPC Alphasense, a KH-3000 Yamatronics, three Swisens Polenos, a PollenSense APS, a FLIR IBAC2, a DMT WIBS-5, an Aerotape Sextant, to the average of four manual Hirst traps, under the same environmental conditions. The investigation aimed to elucidate how meteorological factors and air pollution impact particle capture and identification efficiency.The analysis showed coherent results for most devices regarding the correlation between environmental conditions and pollen concentrations. This reflects on one hand, a significant correlation between weather and airborne pollen concentration, and on the other hand the capability of devices to provide meaningful data under the conditions under which measurements were taken. However, correlation strength varied among devices, reflecting differences in design, algorithms, or sensors used. Additionally, it was observed that different algorithms applied to the same dataset resulted in different concentration outputs, highlighting the role of algorithm design in these systems (monitor + algorithm).Notably, no significant influence from air pollutants on the pollen concentrations was observed, suggesting that any potential difference in effect on the systems might require higher air pollution concentrations or more complex interactions. However, results from some monitors were affected to a minor degree by specific weather variables.Our findings suggest that the application of real-time devices in urban environments should focus on the associated algorithm that classifies pollen taxa. The impact of air pollution, although not to be excluded, is of secondary concern as long as the pollution levels are similar to a large European city like Munich.

The relative contribution of PM2.5 components to the obstructive ventilatory dysfunction—insights from a large ventilatory function examination of 305,022 workers in southern China

BackgroundThe new round of WHO/ILO Joint Estimates of the Work-related Burden of Disease assessment requires futher research to provide more evidence, especially on the health impact of ambient air pollution around the workplace. However, the evidence linking obstructive ventilatory dysfunction (OVD) to fine particulate matter (PM2.5) and its chemical components in workers is very limited. Evidence is even more scarce on the interactive effects between occupational factors and particle exposures. We aimed to fill these gaps based on a large ventilatory function examination of workers in southern China. MethodsWe conducted a cross-sectional study among 363,788 workers in southern China in 2020. The annual average concentration of PM2.5 and its components were evaluated around the workplace through validated spatiotemporal models. We used mixed-effect models to evaluate the risk of OVD related to PM2.5 and its components. Results were further stratified by basic characteristics and occupational factors. FindingsAmong the 305,022 workers, 119,936 were observed with OVD. We found for each interquartile range (IQR) increase in PM2.5 concentration, the risk of OVD increased by 27.8 (95 % confidence interval (CI): 26.5–29.2 %). The estimates were 10.9 % (95 %CI: 9.7–12.1 %), 15.8 % (95 %CI: 14.5–17.2 %), 2.6 % (95 %CI: 1.4–3.8 %), 17.1 % (95 %CI: 15.9–18.4 %), and 11 % (95 %CI: 9.9–12.2 %), respectively, for each IQR increment in sulfate, nitrate, ammonium salt, organic matter and black carbon. We observed greater effect estimates among females, younger workers, workers with a length of service of 24–45 months, and professional skill workers. Furthermore, it is particularly noteworthy that the noise-exposed workers, high-temperature-exposed workers, and less-dust-exposed workers were at a 5.7–68.2 % greater risk than others. InterpretationPM2.5 and its components were significantly associated with an increased risk of OVD, with stronger links among certain vulnerable subgroups.

From Fog to Smog: The Value of Pollution Information

In 2013, China launched a landmark program to monitor air quality and disclose real-time data, significantly increasing the public’s access to and awareness of pollution information. The program triggered cascading behavioral changes such as stronger avoidance of outdoor pollution exposure and increased spending on protective products. These behavioral responses mitigated the mortality impact of air pollution. Conservative estimates indicate that the program’s health benefits outweigh the costs by an order of magnitude. The findings highlight the benefits of improving public access to pollution information in developing countries which often experience severe air pollution but lack pollution data collection and dissemination. (JEL D83, D91, I12, O13, P28, Q51, Q53)

Mental Health Impact of Air Pollution in the Southeast Asian Subcontinent

Mental Health Impact of Air Pollution in the Southeast Asian Subcontinent

Quality of Harvested Rainwater from a Green and a Bitumen Roof in an Air Polluted Region

A one-year study was conducted to evaluate the impact of air pollution and roof coating on runoff quality. An existing 440 sq meter bitumen roof of a single-story building was coated with an extensive green roof layer on one half. Rainfall and runoff samples from both roofs were collected during 11 rainfall events after the separation of the first flush. The study monitored several key parameters, including pH, electrical conductivity (EC), turbidity, chemical oxygen demand (COD), ammonium nitrogen, nitrate nitrogen, and phosphates. The study revealed that both types of roofs altered the rainfall quality, but the changes caused by the green roof were more substantial. Although the retention of runoff from green roofs has a widely acknowledged positive impact on collecting systems, our study shows that green roofs also result in a 7.5-fold increase in COD concentrations, a 5.4-fold increase in the sum of ammonium and nitrate nitrogen, and a 2.3-fold increase in phosphates compared to bitumen roofs. A clear link between the quality of rainwater/runoff and air pollution was not established. The study's findings will aid in the development and management of local rainwater harvesting systems and enhance global understanding of the primary quality parameters of various roof types, particularly in regions with air pollution. Doi: 10.28991/CEJ-2024-010-05-015 Full Text: PDF

Effect of Water Injection on Combustion and Emissions Parameters of SI Engine Fuelled by Hydrogen–Natural Gas Blends

Technologies used in the transport sector have a substantial impact on air pollution and global warming. Due to the immense impact of air pollution on Earth, it is crucial to investigate novel ways to reduce emissions. One way to reduce pollution from ICE is to use alternative fuels. However, blends of alternative fuels in different proportions are known to improve some emissions’ parameters, while others remain unchanged or even worsen. It is therefore necessary to find ways of reducing all the main pollutants. For SI engines, mixtures of hydrogen and natural gas can be used as alternative fuels. The use of such fuel mixtures makes it possible to reduce CO, HC, and CO2 emissions from the engine, but the unique properties of hydrogen tend to increase NOx emissions. One way to address this challenge is to use port water injection (PWI). This paper describes studies carried out under laboratory conditions on an SI engine fuelled with CNG and CNG + H2 mixtures (H2 = 5, 10, 15% by volume) and injected with 60 and 120 mL/min of water into the engine. The tests showed that the additional water injection reduced CO and NOx emissions by about 20% and 4–5 times, respectively. But, the results also show that water injection at the rate of 120 mL/min increases fuel consumption by between 2.5% and 7% in all cases.

Variability and health impact of air pollutants and bioaerosols in multi-functional indoor environments with mechanical ventilation system

The condition of indoor environments significantly impacts human daily life and health, where exposure to harmful substances affects the resilience of occupants. To understand the dynamics of indoor air quality and its implications for occupant health thus this study evaluated air pollutant concentration (TVOC, NO2, O3, CO, CO2, PM10, PM2.5, and PM1) and bioaerosol in mechanically ventilated offices, laboratories, corridors, a library and a mechanical workshop. Simultaneous measurements of all air pollutants were performed for 24 h, including non-working hours, while bioaerosol was sampled for fungal identification and quantified via the colony counting method. High concentrations of PM10, PM2.5, PM1, O3 and bioaerosol were found in the mechanical workshop, where these pollutants were strongly related to humidity (p < 0.05) and indoor source contributions. Other air pollutants such as TVOC had the highest concentrations in the office areas during working hours with an average concentration of 361 ± 14.8 μg m−3, while for CO, the highest concentration was observed in the laboratories for both working hours (442 ± 26.0 ppb) and 24 h average concentration (438 ± 22.1 ppb). Dominant species identified in bioaerosol were Aspergillus sp., Geotrichum sp., Fusarium sp., and Penicillium sp., where the exposure to bioaerosol was found to be of low risk to all workers as the hazard quotient (HQ) was <1 for all multi-functional indoor environments. The results from this study suggest that indoor air pollutants and bioaerosol concentrations have a variety of characteristics and source contributions, especially from human activities and indoor sources.

Mortality burden of cardiovascular disease attributable to ambient PM2.5 exposure in Portugal, 2011 to 2021

BackgroundExposure to high levels of environmental air pollution causes several health outcomes and has been associated with increased mortality, premature mortality, and morbidity. Ambient exposure to PM2.5 is currently considered the leading environmental risk factor globally. A causal relationship between exposure to PM2.5 and the contribution of this exposure to cardiovascular morbidity and mortality was already demonstrated by the American Heart Association.MethodsTo estimate the burden of mortality attributable to environmental risk factors, a comparative risk assessment was performed, considering a “top-down” approach. This approach uses an existing estimate of mortality of the disease endpoint by all causes as a starting point. A population attributable fraction was calculated for the exposure to PM2.5the overall burden of IHD and stroke was multiplied by the PAF to determine the burden attributable to this risk factor. The avoidable burden was calculated using the potential impact fraction (PIF) and considering the WHO-AQG 2021 as an alternative scenario.ResultsBetween 2011 and 2021, the ambient exposure to PM2.5 resulted in a total of 288,862.7 IHD YLL and a total of 420,432.3 stroke YLL in Portugal. This study found a decreasing trend in the mortality burden attributable to PM2.5 exposure, for both males and females and different age-groups. For different regions of Portugal, the same trend was observed in the last years. The mortality burden attributable to long-term exposure to PM2.5 was mainly concentrated in Lisbon Metropolitan Area, North and Centre. Changes in the exposure limits to the WHO recommended value of exposure (WHO-AQG 2021) have a reduction in the mortality burden due to IHD and stroke attributable to PM2.5 exposure, in Portugal.ConclusionBetween 2011 and 2021, approximately 22% and 23% of IHD and stroke deaths were attributable to PM2.5 exposure. Nevertheless, the mortality burden attributable to cardiovascular diseases has been decreasing in last years in Portugal. Our findings provide evidence of the impact of air pollution on human health, which are crucial for decision-making, at the national and regional level.

The Impact of Air Pollution on Asthma Severity among Residents Living near the Main Industrial Complex in Oman: A Cross-Sectional Study.

Asthma is a widespread chronic respiratory disease that poses a significant public health challenge. The current study investigated the associations between air pollution and asthma severity among individuals residing near the Sohar industrial port (SIP) in Oman. Despite the presence of multiple major industrial complexes in Oman, limited knowledge regarding their impact on respiratory health is accredited. Hence, the primary objective of this study is to offer valuable insights into the respiratory health consequences of industrial air pollution in Al Batinah North. The state health clinics' records for patient visits related to asthma were collected for the timeframe spanning 2014 to 2022. Exposure was defined as the distance from the SIP, Majan Industerial Area (MIA), and Sohar Industerial Zone (SIZ) to determine high-, intermediate-, and low-exposure zones (<6 km, 6-12 km and >12 km, respectively). Exposure effect modifications by age, gender, and smoking status were also examined. The conducted cross-sectional study of 410 patients (46.1% males and 53.9% females) living in over 17 areas around SIP revealed that 73.2% of asthmatics were under 50 years old, with severity significantly associated with closeness to the port. Risk ratios were estimated to be (RR:2.42; CI95%: 1.01-5.78), (RR:1.91; CI95%: 1.01-3.6), and (RR:1.68; CI95%: 0.92-3.09) for SIP, MIP, and SIZ areas, respectively, compared to the control area. Falaj Al Qabail (6.4 km) and Majees (6 km) had the highest number of asthma patients (N 69 and N 72) and highest percentages of severe asthma cases among these patients (28% and 24%) with significant risk ratios (RR:2.97; CI95%: 1.19-7.45 and RR:2.55; CI95%: 1.00-6.48), correspondingly. Moreover, severe asthma prevalence peaked in the 25-50 age group (RR:2.05; CI95%: 1.26-3.33), and this linkage between asthma and age was much more pronounced in males than females. Smoking and exposure to certain contaminants (dust and smoke) also increased the risk of severe asthma symptoms, but their effects were less important in the high-risk zone, suggesting much more important risk factors. A neural network model accurately predicted asthma risk (94.8% accuracy), with proximity to SIP as the most influential predictor. This study highlights the high asthma burden near SIP, linked to port proximity, smoking, and wind direction as major risk factors. These findings inform vital public health policies to reduce air pollution and improve respiratory health in the region, prompting national policy review.

A study about the impact of indoor air pollution on cognitive function among middle-aged and older adult people in India

BackgroundIn the 21st century, people still use solid fuel for cooking at home, resulting in poor indoor air quality. Prolonged exposure to such conditions may negatively affect one’s cognitive function. So, the present study examines the possible association between IAP and the cognitive function of individuals aged 45 years or above in India.MethodsThe study utilizes secondary data, procured from the longitudinal ageing study in India (2017-18). Treatment effects through regression-adjusted models were applied to represent the association between IAP and cognitive health and the results are represented by beta coefficient (β). Three separate models with a 95% confidence interval adjusting with the other factors like housing environment, individual and behavioural were framed.ResultsThe study revealed that households without a separate kitchen (β = -0.64; 95%CI: -0.90 to -0.39) and electricity (β = -0.97; 95%CI: -1.34 to -0.61) significantly affect cognitive strength. Cognitive decline is likely more pronounced among older adults (β = -1.19; 95%CI: -1.42 to -0.96) than the middle-aged population. Moreover, the cognitive ability of rural residents (β = -1.11; 95%CI: -1.49 to -0.73) and women (β = -2.05; 95%CI: -2.29 to -1.81) is negatively associated with IAP exposure. Older adults with no reading habits (β = -6.28; 95%CI: -6.72; to -5.85) and physical inactivity (β = -0.96; 95%CI: -1.22 to -0.70) had a sign of notable decline in cognitive ability.ConclusionsFindings revealed that cognitive function is negatively associated with IAP, demanding a deep intervention plan to minimize the detrimental effect.