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Pollinosis is one of the common allergic diseases, and its morbidity continues to increase. Studies have demonstrated that air pollution is a key environmental factor that leads to the increased prevalence of pollinosis. Air pollutants and pollen allergens exert synergistic effects in stimulating allergic responses in susceptible individuals. In this article, we analyzed the relationship between air pollution and pollinosis based on the latest studies, and elaborated potential mechanisms on how air pollution increases the incidence of pollinosis and aggravates allergic reactions. Air pollutants can increase both pollen production and the levels of allergenic proteins, and enhance allergenicity of pollen allergens through structural alterations or chemical modifications. The potential mechanisms of air pollutants exacerbating pollen allergies are as follows: Air pollutants may disrupt the barrier function of the respiratory epithelium and facilitate the penetration of pollen allergens into deeper tissues. Additionally, they may accelerate the process of the release of pollen allergy-related cytokines, promoting T helper 2 (Th2) cell differentiation and exacerbating inflammatory responses in the airways. Given the limitations of existing research, future prospective studies are needed to explore the effects of mixed pollutants and different types of pollutants on pollen, and the response mechanisms of allergy-related cells and cytokines to different pollutant categories. The findings would provide a comprehensive understanding of the impacts of air pollution on pollen allergies and scientific evidence for effective protection of the heath of pollinosis patients.
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Air pollution is a global issue that threatens human health. In recent years, more and more studies have found that air pollution is closely related to the occurrence of depression. As a serious neuropsychiatric disorder whose incidence is rising rapidly year by year, depression has become an invisible killer of public health. At present, studies on the correlation between air pollution and depression are still very limited, and the underlying molecular mechanisms by which air pollution affects depression are not clear. Based on existing epidemiological and toxicological studies, this paper provided a review of the relationship between air pollution and depression and the possible biological mechanisms, with a focus on the relationship between air pollution and depression indicators and the possible factors affecting depression such as types of air pollutants, exposure time, age and health status of study subjects. In addition, the potential roles of neuroinflammation, oxidative stress, neurogenesis, and apoptosis in the process of air pollution-induced depression were also discussed in order to provide a scientific basis for the prevention and treatment of air pollution-induced depression.
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ObjectiveTo investigate the acute effects of compound air pollution on children’s respiratory function. MethodsUsing panel group study design， 223 students in five classes of grade 4 from two primary schools （a， b） in Xuhui and Hongkou districts of Shanghai were randomly selected to measure pulmonary function and exhaled nitric oxide （FeNO）. The first three tests were carried out from May to June in 2020， and the fourth test was carried out from September to December in 2021. At the same time， the daily and hourly mean values of PM2.5， PM10， SO2， NO2， O3 and CO was collected from the nearby air quality monitoring points of the two schools during the same period ， as well as meteorological monitoring data （temperature， humidity， wind speed and atmospheric pressure）. The linear mixed effect model was used to analyze the effects of air pollution on pulmonary function and respiratory inflammation in the summer. ResultsThe results of single pollutant model showed that PM2.5， PM10， SO2 and NO2 were positively correlated with FeNO， and the effect was reflected in lag0， lag1 and lag3 （P<0.05）. PM2.5， PM10 and NO2 were negatively correlated with the changes of lung function FEF25%， FEF50%， FEF75%， FeF25%-75%， PEF， FVC， FEV1 and FEV1/FVC， and the effect was reflected in lag0 to lag3 days （P<0.05）. The results of the dual pollutant model showed that the concentration changes of SO2 and NO2 were significantly correlated with the decrease of FEV1 when combined with O3 or PM2.5 （P<0.01）， and the concentration changes of PM2.5 was significantly correlated with the increase of FeNO when O3， SO2 and NO2 were combined respectively （P<0.01）. The effects of the dual pollutant model were greater than the effect of PM2.5 single pollutant model. ConclusionThe health effects of different air pollutants on children’s respiratory tract function indexes in summer are different. The combined effects of two pollutants on the lung function of children increased to different degrees. Although air pollution is light in summer， it still has an impact on children’s respiratory tract function index and inflammation index， and the combined effect of dual pollutants is more significant than that of single pollutant.
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ObjectiveTo understand the characteristics of PM2.5 pollution in the air of Pearl River Delta city in Guangdong Province under the COVID-19 epidemic and the health risks of inhaling elements in PM2.5. MethodsIn 2022， 10 PM2.5 monitoring points were set up in 10 districts in Guangzhou， Shenzhen， Foshan and Zhuhai， and air samples were collected for 7 consecutive days every month to analyze the concentration of PM2.5 and the 12 elements in PM2.5. The classic "four-step" method was used to evaluate the carcinogenic risk and chronic non-carcinogenic risk of the elements in air PM2.5 on health. The age-sensitive characteristics of metal elements were combined in the carcinogenic risk assessment， and age-sensitive factors were introduced to analyze the impact of air pollution on population health. ResultsA total of818 samples were collected. and the average annual PM2.5 concentration in the four cities of the Pearl River Delta was 30.17 （1.00-166.00， s=21.06） μg·m-3， which was lower than the concentration limit of the secondary standard of the Ambient Air Quality Standard （GB 3095-2012）. The difference of PM2.5 concentration in the four cities was statistically significant. The PM2.5 concentrations in Zhuhai and Shenzhen， which were located near the sea， were lower than those in Guangzhou and Foshan. The monthly mean concentration of PM2.5 in the four cities was the lowest at 13.70 （4.00-34.00， s=5.93） μg·m-3 in July and the highest at 57.73 （14.00-146.00， s=27.96） μg·m-3 in January， showing a low concentration from May to October and a high concentration from November to April of the following year. The average daily PM2.5 concentration exceeded the secondary standard for 29 days， mainly distributed in January and November. The average annual mass concentration of elements in PM2.5 in the four cities was Al>Mn>Pb>As>Ni>Cr>Se>Sb>Cd>Tl>Be>Hg. AS and Mn have chronic non-carcinogenic risk in population， while Cr， AS， Cd， Be and Ni have carcinogenic risk in population. ConclusionThe PM2.5 pollution levels of the four cities in the Pearl River Delta are low and variable. Coastal cities are lower than non-coastal cities， which shows the characteristics of first decreasing and then increasing throughout the year. The order of mass concentration of metal elements of PM2.5 in four cities is basically the same except Be and Ni. As and Mn in PM2.5 show a certain degree of chronic non-carcinogenic risk， and As， Cr， Cd， Ni and Be have a certain degree of carcinogenic risk. The four cities need to take effective intervention measures to continue to strengthen the pollution control and health protection of Cr， As， Cd and Mn in the air， and control the health burden caused by air pollution.
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Objective@#To explore the performance of machine learning prediction models in forecasting student absenteeism due to respiratory symptoms caused by air pollution in short term, aiming to provide a methodological reference for early warning systems of school diseases.@*Methods@#Utilizing data from shortterm sequences of student absenteeism due to respiratory symptoms in Jiangsu Province from September 2019 to October 2022, the study integrated average concentrations of atmospheric pollutants. A univariate distributed lag nonlinear model was employed to select optimal lag variables for the pollutants. An extreme gradient boosting(XGBoost) algorithm model was developed to predict the frequency of absenteeism due to respiratory symptoms and compared with the seasonal autoregressive integrated moving average with exogenous factors(SARIMAX) model.@*Results@#Between 2019 and 2022, an average of 9 709 students per day in Jiangsu Province were absent due to respiratory symptoms. The daily average air quality index (AQI) was 76.96,with mass concentrations of PM2.5, PM10, NO2, and O3 averaging at 35.75, 61.13, 28.89, 104.81 μg/m3, respectively. Granger causality tests indicated that AQI, PM2.5, PM10, NO2, and O3 were significant predictors of absenteeism frequency due to respirutory symptoms(F=1.46,1.79,1.67,3.41,2.18,P<0.01). The singleday lag effects of PM2.5, PM10, NO2, and O3 reached their peak relative risk (RR) values at lag4, lag0, lag0, lag4 respectively. When integrating these optimal lag variables for the pollutants, the XGBoost model demonstrated superior predictive performance to the SARIMAX model, reducing the mean absolute error (MAE) from 2.251 to 0.475, mean absolute percentage error (MAPE) from 0.429 to 0.080, and root mean square error (RMSE) from 2.582 to 0.713; at the P75 percentile alert threshold, the sensitivity improved from 0.086 to 0.694 and specificity from 0.979 to 0.988, with the Youden index increasing from 0.065 to 0.682.@*Conclusions@#The XGBoost model exhibits robust predictive performance and effective early warning capabilities for shortterm sequences of student absenteeism due to respiratory symptoms caused by air pollution. Schools could timely adopt this model to preemptively detect and control disease outbreaks, thereby enhancing school health management.
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In recent years, the effects of air pollutants on the neurodevelopmental disorders in children have received widespread attention. Early life is a critical period of rapid brain development, and exposure to air pollutants during this period may permanently alter brain function. This paper reviewed the epidemiological studies on the association between exposure to air pollutants during early life and children's neurodevelopmental disorders in recent years, with focus on outdoor air pollutants (e.g., PM2.5, PM10, NOx, and CO) and indoor air pollutants (e.g., cooking oil fumes, tobacco and mosquito incense smoke, and formaldehyde from home decoration), and summarized their possible biological mechanisms. Most studies indicate that pollutants in different periods and at different levels of exposure during early life can negatively affect children's neurodevelopment and that there may be a dose-response relationship between certain air pollutants and children's neurodevelopment. Current research on the effects of indoor air pollutants on children's neurodevelopment focus on exposure to tobacco smoke, while other indoor air pollutants such as cooking oil fumes and organic compounds produced by interior decorative materials are less well reported and their underlying biological mechanisms are not yet clear. Further epidemiological studies, animal and cellular experiments are needed to provide evidence for the neurodevelopmental toxicity of air pollutant exposure in the future, aiming to provide a theoretical basis for environmental eugenics and promote healthy development of children.
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Objectives:To explore the burden and trend of cardiovascular diseases(CVD)attributed to household air pollution(HAP)in the world and China from 1990 to 2019. Methods:Based on the Global Burden of Disease(GDB)database in 2019,the CVD data attributed to HAP in China and around the world were extracted,and the mortality and disability-adjusted life years(DALY)and their age standardized rate(ASR)and estimated annual percentage change(EAPC)were used to analyze the burden of disease and trend in China and other regions and countries from 1990 to 2019. Results:From 1990 to 2019,the age-standardized death rate(ASDR)(EAPC=-3.65,95%CI:-3.86 to-3.44),and the age-standardized DALY rate(EAPC=-3.60,95%CI:-3.78 to-3.41)attributable to HAP for CVD globally showed a decreasing trend.In China,the ASDR(EAPC=-5.78,95%CI:-6.17 to-5.38)and the age-standardized DALY rate(EAPC=-5.97,95%CI:-6.32 to-5.62)also showed a declining trend.The burden of males was slightly higher than females,reaching its peak at the age of 75 to 89 years.The largest increase of the burden of CVD attributed to HAP was in Philippines(ASDR:EAPC[95%CI]=0.87[0.21-1.54];age-standardized DALY rate:EAPC[95%CI]=1.32[0.60-2.03]),and the largest decline was in Saudi Arabia(ASDR:EAPC[95%CI]=-18.48[-18.63 to-18.32];age-standardized DALY rate:EAPC[95%CI]=-18.25[-18.38 to-18.12]).In 2019,the highest disease burden of CVD related to HAP per 100 000 people was significantly higher in ASDR(56.67,95%UI:42.08-73.07)and age-standardized DALY rate(1 318.63,95%UI:997.40-1 672.29)in areas with low social demographic index(SDI)than in other SDI areas.In 2019,among the 21 geographical regions and 204 countries in the world,the highest disease burden per 100 000 people was in Oceania,and the highest country was Solomon Islands,the corresponding ASDR of China was 12.52(95%UI:6.35-21.29)and the age-standardized DALY rate was 262.65(95%UI:133.90-447.50). Conclusions:From 1990 to 2019,the age-standardized burden of CVD attributable to HAP in the world and China showed a consistent downward trend,with males slightly higher than females,and the burden concentrated on population between 75 and 89 years old.Although there has been a certain decline in China,the disease burden is still high,so there is still a urgent need to take strong intervention measures to reduce burden of CVD attributable to HAP in China.
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Introduction@#Air pollution and air quality are growing concerns among urban citizens of Southeast Asia, especially the University students who devote most of their days to the vicinity of campus. However, there is limited data available on the extent of the problem, as well as an understanding of the knowledge of and perceptions of people who may be exposed to poor air quality. @*Methods@#This focused study evaluated University students’ opinions, perceptions, and behavioral responses to local air quality in the Iskandar Puteri, Johor region of Malaysia using an online questionnaire, and measurements of NO2, SO2, formaldehyde, and particulate matter levels in the area using diffusion tubes. All air quality parameters were within the standards recommended by the local environmental authority, however, NO2 levels exceeded the recommended World Health Organization (WHO) standards at all sites. @*Results@#Questionnaire findings indicate that students most commonly suffered from respiratory diseases, and were very concerned about air pollution and its impacts. Respondents perceived the situation to be worse in the afternoons and weekends, corroborated by the PM2.5 readings in the area. Preferred preventive measures included wearing masks and limiting active time outdoors. @*Conclusions@#The evidence from this study highlighted the need to improve air quality in Iskandar Puteri as the NO2 level exceeded international standards for human health at all study sites. This could be supported by educational programs for industry, limitations on traffic emissions, and general awareness of air quality issues present locally.
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Objective@#To investigate the awareness of air pollution protection knowledge and its influencing factors among primary school students in Shennongjia Forest District, Hubei Province, so as to provide insights into targeting implementation of health education on air pollution protection knowledge.@*Methods@#Students in Grade 3 to 5 in Shennongjia Shiyan primary school were enrolled by stratified cluster sampling method, and students' demographic features and awareness of air pollution protection knowledge were investigated using the Investigation on the Effects of Air Pollution Health Protection of Pupils (Volume A). Factors affecting the awareness of air pollution protection knowledge among primary school students were identified using a multivariable logistic regression model.@*Results@#A total of 897 questionnaires were allocated, and 877 valid questionnaires were recovered, with an effective rate of 97.77%. The respondents included 446 men (50.86%) and 431 women (49.14%), 301 third grade students (34.32%), 284 fourth grade students (32.38%), and 292 fifth grade students (33.30%), and had a mean age of (10.32±0.93) years. The overall awareness of air pollution protection was 55.76%, and the awareness rates of basic concepts, basic knowledge, and basic behaviors and skills were 42.99%, 53.48% and 57.24%, respectively. Multivariable logistic regression analysis identified age (OR=1.453, 95%CI: 1.053-2.005), living with parents (OR=2.638, 95%CI: 1.571-4.429), mother's educational level (below primary school, OR=0.270, 95%CI: 0.084-0.862; primary school, OR=0.169, 95%CI: 0.069-0.416; junior high school, OR=0.309, 95%CI: 0.138-0.691; high school, OR=0.352, 95%CI: 0.160-0.773) and average annual family income (50 000 to 100 000 Yuan, OR=1.629, 95%CI: 1.162-2.282; 100 000 to 150 000 Yuan, OR=1.802, 95%CI: 1.101-2.948; ≥150 000 Yuan, OR=1.939, 95%CI: 1.065-3.529) as factors affecting the awareness of air pollution protection knowledge among primary school students.@*Conclusion@#The awareness of air pollution protection knowledge is 55.76% among primary school students in Shennongjia Forest District, and is affected by age, mother's educational level, average annual family income and living with parents.
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Objective@#To analyze the characteristics of fine particulate matter (PM2.5) pollution in Urumqi City, Xinjiang Uygur Autonomous Region from 2016 to 2023 and establish a prediction model, so as to provide the reference for air pollution prevention and control.@*Methods@#PM2.5 monitoring data of Urumqi City from 2016 to 2023 were collected through the website of Ministry of Ecology and Environment of China. The changing trend of PM2.5 concentration was analyzed using temporal chart and seasonal index. PM2.5 monthly average concentrations from 2016 to 2023 were used to establish an autoregressive integrated moving average (ARIMA) model, and the data in 2023 was fitted and compared with the actual values, using mean absolute percentage error (MAPE) to evaluate the effectiveness of the model, and PM2.5 monthly average concentration from 2024 to 2025 was predicted.@*Results@#PM2.5 daily average concentration in Urumqi City showed a decreasing trend from 2016 to 2023 (rs=-0.239, P<0.001), with high seasonal indexes in January, February and December, indicating certain seasonal characteristics. The optional model was ARIMA (1, 0, 0) (1, 1, 0)12, with the value of Akaike information criterion, corrected Akaike information criterion, and Bayesian information criterion being 727.38, 727.88 and 737.10, respectively. PM2.5 monthly average concentration in 2023 was fitted and compared with the actual values, with an absolute error range of 0.31-7.45 μg/m3, a relative error range of 0.01-0.53, and MAPE of 14.42%. PM2.5 monthly average concentration in Urumqi City from 2024 to 2025 was predicted to be consistent with the trend from 2016 to 2023.@*Conclusions@#PM2.5 concentration in Urumqi City showed a tendency towards a decline from 2016 to 2023, and was relatively high in winter. ARIMA (1, 0, 0) (1, 1, 0)12 can be used for short-term prediction of PM2.5 pollution in Urumqi City.
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Objective To analyze the epidemic trend of type 2 diabetes in Suzhou from 2013 to 2022 and the early death and life loss of type 2 diabetes due to outdoor PM2.5. Methods The indicators of death number, mortality rate, years of early life lost (YLL) and years of life lost per thousand (YLL rate) were selected, and the data of the Global Burden of Disease Study 2021 (GBD2021) were used to analyze the death information of type 2 diabetes in Suzhou. Results The number of deaths, mortality, YLL and YLL rate caused by type 2 diabetes in Suzhou from 2013 to 2022, showed an upward trend, and the number of deaths , YLL and YLL rate of type 2 diabetes attributed to PM2.5 also showed an upward trend (P2.5 totaled 3887 cases , the YLL was 61 974 person years, and the YLL rate was 0.89‰. Conclusion Type 2 diabetes has seriously threatened the health of residents in Suzhou , and the disease burden due to outdoor PM2.5 is on the rise. It is important to carry out three-level prevention and improve air quality for type 2 diabetes to improve the health of residents.
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Background An association between atmospheric fine particulate matter (PM2.5) exposure and Parkinson's disease (PD) has been suggested by previous studies, but the results of current epidemiological studies are still inconclusive. Objective To systematically evaluate the relationship between exposure to ambient PM2.5 and the risk of PD, as well as to explore potential influencing factors, aiming to provide scientific evidence for formulating early prevention strategies for PD. Methods Cochrane Library, PubMed, Web of Science, Medline, Embase, China National Know-ledge Infrastructure (CNKI), Wanfang Database, and VIP Chinese Science and Technology Journal Database were queried. The search terms included Parkinson's disease, particulate matter 2.5, and PM2.5 in both Chinese and English. Cohort studies examining the association between atmospheric PM2.5 exposure and the risk of PD were collected and searched from the inception of each database to June 26, 2023. The identified literature was screened, and the basic information of the included studies and their research subjects, outcome indicators, quantitative results of each study, as well as the information required by bias risk assessment were extracted. The Newcastle-Ottawa Scale was employed to assess the risk of literature bias. Meta-analysis, subgroup analysis, sensitivity analysis, and publication bias analysis were conducted in Stata 15.0 software. Results Twelve cohort studies were identified. A total of 17443136 participants with follow-up periods ranging from 3.5 to 22 years were included in the analysis. The meta-analysis, utilizing a random-effects model, revealed that PD risk was elevated by 6% after exposure to PM2.5 [HR=1.06 (95%CI: 1.02, 1.11), P=0.006]. The subgroup analysis demonstrated that exposure to PM2.5 increased PD risk by 6% in North America [HR=1.06 (95%CI: 1.00, 1.12), P=0.033] and by 17% in East Asia [HR=1.17 (95%CI: 1.02, 1.33), P=0.020]. However, the effect was not statistically significant in Europe. PD risk exhibited a 7% rise [HR=1.07 (95%CI: 1.02, 1.14), P=0.011] in individuals aged 60 years and older, which was different from that in individuals younger than 60 years. Exposure to various concentrations of PM2.5 was observed to associate with an elevated risk of PD. The inclusion of adjustments for PD-related comorbidities did not alter the conclusion that ambient PM2.5 exposure might elevate the risk of PD. The studies with a follow-up duration exceeding 5 years and reporting more than 1000 PD cases suggested a significant increase in the risk of PD due to ambient PM2.5 exposure [HR=1.06 (95%CI: 1.01, 1.12), P=0.012; HR=1.06 (95%CI: 1.01, 1.11), P=0.027, respectively]. Conversely, no significant association was identified between ambient PM2.5 exposure and the risk of PD within the cohorts with a follow-up duration of less than 5 years and reporting fewer than 1000 PD cases [HR=1.09 (95%CI: 0.95, 1.26), P=0.214; HR=1.12 (95%CI: 0.98, 1.02), P=0.092, respectively]. The sensitivity analysis showed that the results were stable. The publication bias analysis and the combined trim-and-fill method showed that the results were robust. Conclusion The risk of PD could be increased by ambient PM2.5 exposure and influenced by age and area. The research results might be affected by the duration of follow-up and the quantity of PD cases reported.
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@#Introduction: The industrial park in the district of Parit Raja, Batu Pahat resulted in rapid growth of the town during the last 20 years and has been a reason of concern that this park also has contributed greatly to the problem of air pollution. The aim of this study was to evaluate the association between industrial air pollution and respiratory symptoms in adults living in the Parit Raja. Methods: A comparative cross-sectional study was undertaken among residents in the district of Parit Raja, Batu Pahat, Johor, Malaysia. A total of 110 residents aged between 19 and 65 years were randomly selected and information on personal characteristics and respiratory symptoms was obtained through a validated questionnaire. The prevalence of respiratory symptoms was compared between residents recruited from the areas situated about 5km radius of the industrial park (exposed) and >5km radius from the industrial park (comparative). Results: A total of 34.5% and 25.5% of adults from the exposed group reported experiencing coughing for the last 3 months and chest tightness for the last 3 years. The logistic regression models showed that symptoms of coughing was associated with the exposed group (aOR=6.34, 95% CI=2.08-19.35), male respondents (aOR=3.18, 95% CI=1.10-9.16) and who stay in Part Raja for more than 14 years (aOR=3.16, 95% CI=1.14-8.79). Conclusion: This study demonstrated that long-term air pollution exposures are consistently associated with respiratory symptoms in residents living in the proximity of industrial parks. Therefore, public health initiatives that aim to provide more conducive environment are needed, especially for residents living near industrial parks.
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Background Air quality health index (AQHI) is derived from exposure-response coefficients calculated from air pollution and morbidity/mortality time series, which helps to understand the overall short-term health impacts of air pollution. Objective To study the effects of common air pollutants on respiratory diseases in Urumqi and to develop an AQHI for the risk of respiratory diseases in the city. Methods The daily outpatient volume data of respiratory diseases from The First Affiliated Hospital of Xinjiang Medical University, meteorological data (daily mean temperature and daily mean relative humidity), and air pollutants [fine particulate matter (PM2.5), inhalable particulate matter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon dioxide (CO), and ozone (O3)] in Urumqi City, Xinjiang, China were collected from January 1, 2017 to December 31, 2021. A distributed lag nonlinear model based on quasi-Poisson distribution was constructed by time-stratified case crossover design. Adopting zero concentration of air pollutants as reference, the exposure-response coefficient (β value) was used to quantify the impact of included air pollutants on the risk of seeking medical treatment for respiratory diseases, and the AQHI was established. The association of between AQHI and the incidence of respiratory diseases and between air quality index (AQI) and the incidence of respiratory diseases was compared to evaluate the prediction effect of AQHI. Results Each 10 µg·m−3 increase in PM10, SO2, NO2, and O3 concentrations presented the highest excess risk of seeking outpatient services at 3 d cumulative lag (Lag03) and 2d cumulative lag (Lag02), with increased risks of morbidity of 0.687% (95%CI: 0.101%, 1.276%), 17.609% (95%CI: 3.253%, 33.961%), 13.344% (95%CI: 8.619%, 18.275%), and 4.921% (95%CI: 1.401%, 8.502%), respectively. There was no statistically significant PM2.5 or CO lag effect. An AQHI was constructed based on a model containing PM10, SO2, NO2, and O3, and the results showed that the excess risk of respiratory disease consultation for the whole population, different genders, ages, or seasons for each inter-quartile range increase in the AQHI was higher than the corresponding value of AQI. Conclusion PM10, SO2, NO2, and O3 impact the number of outpatient visits for respiratory diseases in Urumqi, and the constructed AQHI for the risk of respiratory diseases in Urumqi outperforms the AQI in predicting the effect of air pollution on respiratory health.
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Abstract The objective of this study was to assess air quality in relation to vehicular traffic flow in cities located at different elevations in the Bodoquena microregion, state of Mato Grosso do Sul, Brazil. To do so, a micronucleus test was carried out using the TRAD-MCN bioassay on young Tradescantia buds collected from February to November 2018 in seven cities of the microregion with different traffic flow intensities. Meteorological parameters were evaluated, and vehicular traffic was counted to determine traffic flow in each city. With data from the Shuttle Radar Topography Mission (SRTM) and processing in Esri ArcGIS® software version 10.5.1, the regions was mapped based on an Elevation Model. Morphoanatomical analyses were performed according to standard methodology. Measurements were taken of thickness, length and width of tissues and structures, including the upper and lower cuticle, upper and lower epidermis, hypodermis and mesophyll. The greatest traffic flow was found in the cities of Bodoquena, Guia Lopes da Laguna, Jardim, and Porto Murtinho, with the period from 5:00 to 6:00 p.m. showing the highest traffic flow. The greatest frequency of mutagenic alterations was found in the city of Guia Lopes da Laguna, although the results did not differ significantly from Bonito, Caracol, and Jardim. Throughout the biomonitoring, the summer and autumn seasons showed the greatest micronuclei frequencies in all evaluated cities. Variations in the tissue/structure thickness was observed across cities and seasons, but with a decrease in thickness during autumn. In general, the tissues/structures were smaller for the cities of Nioaque and Porto Murtinho, while the anatomical and morphological characteristics of leaf length and thickness showed no differences among cities. We found limited correlation between micronuclei frequency and traffic flow, supporting the hypothesis that although mutagenic alterations are observed in T. pallida, in this microregion the changes are numerically lower when compared to other regions of the state. In light of the genotoxic and morphoanatomical factors assessed herein, the Bodoquena microregion appears to be well preserved in terms of air quality, presenting low micronuclei frequency and a limited reduction in tissues and leaf structures, regardless of the season.
Resumo O objetivo deste trabalho foi avaliar a qualidade do ar com base no fluxo veicular das cidades localizadas em diferentes altitudes na microrregião da Bodoquena, no estado de Mato Grosso do Sul, Brasil. Para tal, foi realizado o teste de micronúcleo, por meio do bioensaio TRAD-MCN em botões jovens de Tradescantia coletadas no período entre fevereiro a novembro de 2018 em sete cidades da microrregião da Bodoquena, com diferentes intensidades de fluxo veicular. Foram avaliados os parâmetros meteorológicos, os veículos foram contados para determinar o tráfego de veículos em cada cidade e altitude. A partir da topografia Shuttle Radar (SRTM) e processamento no software Esri ArcGIS® versão 10.5.1 foi possível mapear a área com base no Modelo de Elevação. As análises morfoanatômicos foram realizadas conforme metodologia padrão. As mensurações de espessura, comprimento, largura dos tecidos e estruturas como a cutícula superior, cutícula inferior, face superior e face inferior da epiderme, hipoderme e mesófilo foram avaliadas. O maior fluxo veicular foi encontrado nas cidades de Bodoquena, Guia Lopes da Laguna, Jardim e Porto Murtinho. O horário das 17:00 às 18:00h foi o que apresentou maiores fluxo de veículos. A maior frequência de alterações mutagênicas foi encontrada na cidade de Guia Lopes, não diferindo de Bonito, Caracol e Jardim. Ao longo do biomonitoramento observou-se que as estações de verão e outono foram as que apresentaram maiores frequências de micronúcleo independente da cidade avaliada. Observou-se que a correlação entre a frequência de micronúcleos e o fluxo veicular foi baixa, apoiando a tese de que essa microrregião, embora apresente alterações mutagênicas em T. pallida, as alterações numericamente são pequenas quando comparadas a outras regiões do estado de Mato Grosso do Sul. Observou-se uma variação na espessura dos tecidos/estruturas que é variável entre as diferentes cidades e estações do ano. De forma geral os tecidos/estrutura apresentaram redução na espessura para as cidades de Nioaque e Porto Murtinho quanto aos aspectos anatômicos e morfológicos, sendo que, para o comprimento e espessura foliar não foi observado diferenças entre as cidades. Em relação as estações do ano, observou-se que no outono a espessura dos tecidos/estruturas são menores. Diante dos fatores genotóxicos e morfoanatômicos aqui avaliados, a microrregião da Bodoquena parece estar bem preservada em termos de qualidade do ar, apresentando baixa frequência de micronúcleos e redução limitada de tecidos e estruturas foliares, independentemente da estação do ano.
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ABSTRACT OBJECTIVE To evaluate the association between gestational age and green areas, urban built areas, and the concentration of particulate matter 2.5 (PM2.5) in the city of São Paulo, analyzing the irregular distribution of these areas and pollution levels above the recommended level. METHODS The study population consisted of a cohort of live births from 2012, and data from the Live Birth Information System (Sinasc) of the city of São Paulo were used. Using satellite images and supervised classification, the distribution and quantity of green areas and built areas in the city of São Paulo was obtained, as well as the concentrations of PM2.5. Logistic regressions were used to obtain possible associations. RESULTS The results of the study show that a lower percentage of green areas is significantly associated with a higher chance of preterm births. A higher building density was positively associated with the odds ratio for preterm birth. We did not find any significant associations between air pollution (PM2.5) and preterm births. CONCLUSIONS The results of this study show that greener areas are less associated with preterm births when compared with less green areas.
RESUMO OBJETIVO Avaliar a associação entre a idade gestacional e as áreas verdes, áreas construídas urbanas e a concentração de material particulado 2,5 (MP2,5) em São Paulo, analisando a distribuição irregular dessas áreas e os níveis de poluição acima do recomendado. MÉTODOS A população utilizada no estudo foi a dos nascidos vivos no ano de 2012, com os dados do Sistema de Informações sobre Nascidos Vivo (Sinasc) na cidade de São Paulo. Por meio de imagens de satélites e realizando a classificação supervisionada, obtivemos a distribuição e quantidade de áreas verdes e de áreas construídas, na cidade de São Paulo, assim como as concentrações de MP2,5. Regressões logísticas foram utilizadas para obter possíveis associações. RESULTADOS Os resultados do estudo mostram que menor percentual de áreas verdes está associado significativamente com maior chance de prematuridade. Maior densidade de construção foi associada positivamente com a razão de chance de nascimento prematuro. Não encontramos resultados significativos entre a poluição do ar (MP2,5) e prematuridade. CONCLUSÕES Os resultados deste estudo demostraram que áreas mais verdes em relação às áreas menos verdes são menos associadas a nascimentos prematuros.
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Humanos , Masculino , Femenino , Embarazo , Recién Nacido , Recien Nacido Prematuro , Contaminación del Aire , Áreas Verdes , Parques Recreativos , Entorno ConstruidoRESUMEN
Objetivo. Determinar la existencia de asociación entre defectos congénitos y la exposición prenatal de mujeres gestantes a PM10 en una población colombiana. Métodos. Estudio retrospectivo de casos y controles. Se incluyeron casos de madres de recién nacidos con defectos congénitos confirmados posnatalmente y controles sin defectos congénitos. La exposición a emisiones se determinó mediante disgregación temporo-espacial mediante ArcGIS® y georreferenciación mediante gvSIG, Google Earth y Google Street View®, usando estimaciones previamente publicadas y validadas para la ciudad. El análisis estadístico se realizó utilizando Jamovi-Stats Open now. Resultados . Se incluyeron un total de 101 pacientes, correspondiendo a 31 casos y 70 controles. Existió un aumento del riesgo de desarrollar defectos congénitos tras la exposición a emisiones de PM10 superiores a 2,23 Ton/año/250 m2 (OR: 8,17; IC 95%: 1.61 a 41.46; p = 0,011). Conclusiones. Existió relación entre la exposición a niveles elevados de PM10 y aumento en el riesgo de defectos congénitos en la población estudiada. Se sugiere la realización de futuras investigaciones sobre la relación entre contaminación medioambiental y eventos obstétricos adversos.
Objective: To determine the existence of an association between birth defects and prenatal exposure of pregnant women to PM10 in a Colombian population. Methods: Retrospective case-control study. Cases of mothers of newborns with postnatally confirmed congenital defects and controls without congenital defects were included. Emission exposure was determined by temporo-spatial disaggregation using ArcGIS® and georeferencing using gvSIG®, Google Earth® and Google Street View®, using previously published and validated estimates for the city. Statistical analysis was performed using Jamovi-Stats Open now®. Results: A total of 101 patients were included, corresponding to 31 cases and 70 controls. There was an increased risk of developing birth defects after exposure to PM10 emissions above 2.23 Ton/year/250m2 (OR: 8.17; 95% CI: 1.61 - 41.46; p = 0.011). Conclusions: There was a relationship between exposure to high levels of PM10 and increased risk of birth defects in the population studied. Future research on the relationship between environmental contamination and adverse obstetric events is suggested.
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Purpose: Understanding the association between social determinants of health (SDoHs) and microbial keratitis (MK) can inform underlying risk for patients and identify risk factors associated with worse disease, such as presenting visual acuity (VA) and time to initial presentation. Methods: This was a cross?sectional study was conducted with patients presenting with MK to the cornea clinic at a tertiary care hospital in Madurai, India. Patient demographics, SDoH survey responses, geographic pollution, and clinical features at presentation were collected. Descriptive statistics, univariate analysis, multi?variable linear regression models, and Poisson regression models were utilized. Results: There were 51 patients evaluated. The mean age was 51.2 years (SD = 13.3); 33.3% were female and 55% did not visit a vision center (VC) prior to presenting to the clinic. The median presenting logarithm of the minimum angle of resolution (logMAR) VA was 1.1 [Snellen 20/240, inter?quartile range (IQR) = 20/80 to 20/4000]. The median time to presentation was 7 days (IQR = 4.5 to 10). The average particulate matter 2.5 (PM2.5) concentration, a measure of air pollution, for the districts from which the patients traveled was 24.3 ?g/m3 (SD = 1.6). Age? and sex?adjusted linear regression and Poisson regression results showed that higher levels of PM2.5 were associated with 0.28 worse presenting logMAR VA (Snellen 2.8 lines, P = 0.002). Patients who did not visit a VC had a 100% longer time to presentation compared to those who did (incidence rate ratio = 2.0, 95% confidence interval = 1.3–3.0, P = 0.001). Conclusion: Patient SDoH and environmental exposures can impact MK presentation. Understanding SDoH is important for public health and policy implications to mitigate eye health disparities in India.
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Background: Around 2.6 billion people cook their food using biomass fuel (BMF), kerosene oil, and coal fuel, by which each year, 4 million people die prematurely from household air pollution or by this inefficient cooking practices. So, this study was planned to measure the effect of interventions of cooking fuel (BMF to LPG) to reduce the indoor air pollution in asthmatic children of rural India. Methods: Prospective observational study was done by door-to-door survey, among school-age children. Households of asthmatic children were encouraged to change their cooking fuel to more secure and were followed up for a period of 9 months. The intervention was in the form of a change of cooking fuel (from BMF to LPG) and proper education. The levels of indoor pollutants (PM10, PM2.5, and PM1) were measured before and after 3 months of follow-up. Result: A total of 56 asthmatic children from 42 households were followed-up for the following 9 months at every 3 months visit. The mean age was 9.27 ± 3.94 years with an equivalent sex ratio. There was at least one smoker in 73.81% of households of asthmatic children. Nearly, 45% of children were living in 101–500 square yard area and 67.86% with the inhabitation of ? 3/room. The level of all particulate matter decreased significantly at 3 months (p < 0.05). At 3, 6, 9 months of follow-up, respiratory symptoms and morbidity significantly diminished. Conclusion: The change in cooking fuel to more secure was found to be one of the factors decreasing indoor pollutants and respiratory symptoms/morbidity among asthmatic children in rural areas.
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High blood pressure (BP) remains a public health issue of concern in low- and middle-income countries (LMICs). Cooking with solid biomass fuel is common in LMICs, producing hazardous levels of household air pollution (HAP), and exposure to which results in significant morbidity and mortality. The primary victims are women, who are the immediate users. Therefore, a potential relationship between these factors would have massive public health reverberations. Our objective was thus to perform a literature review of the studies investigating the association between HAP and BP in women. We searched the PubMed, CORE, and Semantic Scholar databases from inception through March 2022 to identify reports investigating the relationship between BP and HAP from solid fuel use. The studies included in this report point to an increased risk of high BP from HAP generated as a consequence of using solid fuels for cooking. Conversely, few studies have reported a negative association between HAP and BP. Notably, this inconsistency and the limited evidence base necessitate confirmation of the association by more extensive and robust studies. Further, this report identifies a need to introduce and implement effective clean cooking solutions for public health benefits.