Environmental Health Risk Factor Research Articles

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.

Mineral wealth paradox: health challenges and environmental risks in African resource-rich areas

BackgroundAfrica is blessed with vast arable land and enriched with valuable natural resources encompassing both renewable (like water, forests, and fisheries) and non-renewable (such as minerals, coal, gas, and oil). Under the right conditions, a natural resource boom should serve as an important driver for growth, development, and the transition from cottage industry to factory output. However, despite its wealth, Africa is often associated with the notion of a resource curse. Negative outcomes are often linked with mineral wealth. This paper investigates the causes of adverse health outcomes in resource-rich regions. The study provides empirical support for the natural resource curse with particular emphasis on the environmental health risks in Africa. We explore the multifaceted connections among mineral deposits, environmental risks, conflict events and population dynamics, shedding light on the complexities of resource-rich areas.ResultsWe amalgamate georeferenced data pertaining to 22 specific mineral deposits with information on the prevalence of reliance on compromised infrastructures at a spatial resolution of 0.5∘×0.5∘\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$^{\\circ } \ imes 0.5^{\\circ }$$\\end{document} for all of Africa between 2000 and 2017. Through comprehensive econometric analysis of environmental health risk factors, including reliance on contaminated water sources, open defecation, unimproved sanitation, particulate matter concentration, and carbon concentration, we uncover the intricate pathways through which mineral deposits impact public health. Our findings revealed the significant role of in-migration in mediating environmental health risks. Moreover, we found that the activities of extractive companies amplify certain environmental risks including reliance on unimproved sanitation and practices and particulate matter concentration. Conflict events emerge as a key mediator across all environmental health risks, underlining the far-reaching consequences of instability and violence on both local communities and the environment.ConclusionThe study contributes to the discourse on sustainable development by unraveling the nuanced associations between mineral wealth and health challenges. By drawing attention to the intricate web of factors at play, we provide a foundation for targeted interventions that address the unique environmental and health challenges faced by mineral-rich communities.

Air pollution deaths attributable to fossil fuels: observational and modelling study

ObjectivesTo estimate all cause and cause specific deaths that are attributable to fossil fuel related air pollution and to assess potential health benefits from policies that replace fossil fuels with...

Childhood Obesity and Congenital Heart Disease: A Lifelong Struggle.

Congenital heart disease (CHD) affects approximately one in every one hundred infants worldwide, making it one of the most prevalent birth abnormalities globally. Despite advances in medical technology and treatment choices, CHD remains a significant health issue and necessitates specialized care throughout an individual's life. Childhood obesity has emerged as a novel global epidemic, becoming a major public health issue, particularly in individuals with lifelong conditions such as CHD. Obesity has profound effects on cardiac hemodynamics and morphology, emphasizing the importance of addressing obesity as a significant risk factor for cardiovascular health. Obesity-induced alterations in cardiac function can have significant implications for cardiovascular health and may contribute to the increased risk of heart-related complications in obese individuals. Moreover, while diastolic dysfunction may be less apparent in obese children compared to adults, certain parameters do indicate changes in early left ventricular relaxation, suggesting that obesity can cause cardiac dysfunction even in pediatric populations. As most children with CHD now survive into adulthood, there is also concern about environmental and behavioral health risk factors in this particular patient group. Addressing obesity in individuals with CHD is essential to optimize their cardiovascular health and overall quality of life. This review aims to succinctly present the data on the impact of obesity on CHD and to enhance awareness of this perilous association among patients, families, and healthcare providers.

Reversal of trends in global fine particulate matter air pollution

Ambient fine particulate matter (PM2.5) is the world’s leading environmental health risk factor. Quantification is needed of regional contributions to changes in global PM2.5 exposure. Here we interpret satellite-derived PM2.5 estimates over 1998-2019 and find a reversal of previous growth in global PM2.5 air pollution, which is quantitatively attributed to contributions from 13 regions. Global population-weighted (PW) PM2.5 exposure, related to both pollution levels and population size, increased from 1998 (28.3 μg/m3) to a peak in 2011 (38.9 μg/m3) and decreased steadily afterwards (34.7 μg/m3 in 2019). Post-2011 change was related to exposure reduction in China and slowed exposure growth in other regions (especially South Asia, the Middle East and Africa). The post-2011 exposure reduction contributes to stagnation of growth in global PM2.5-attributable mortality and increasing health benefits per µg/m3 marginal reduction in exposure, implying increasing urgency and benefits of PM2.5 mitigation with aging population and cleaner air.

Noise and Air Pollution as Risk Factors for Hypertension: Part I-Epidemiology.

Traffic noise and air pollution are 2 major environmental health risk factors in urbanized societies that often occur together. Despite cooccurrence in urban settings, noise and air pollution have generally been studied independently, with many studies reporting a consistent effect on blood pressure for individual exposures. In the present reviews, we will discuss the epidemiology of air pollution and noise effects on arterial hypertension and cardiovascular disease (part I) and the underlying pathophysiology (part II). Both environmental stressors have been found to cause endothelial dysfunction, oxidative stress, vascular inflammation, circadian dysfunction, and activation of the autonomic nervous system, thereby facilitating the development of hypertension. We also discuss the effects of interventions, current gaps in knowledge, and future research tasks. From a societal and policy perspective, the health effects of both air pollution and traffic noise are observed well below the current guideline recommendations. To this end, an important goal for the future is to increase the acceptance of environmental risk factors as important modifiable cardiovascular risk factors, given their substantial impact on the burden of cardiovascular disease.

Assessment of undergraduate health students' perception and satisfaction on training and participation in community health outreach.

The need to improve training of health professionals has increased in recent years due to increasing frequencies of public health events. Consequently, a descriptive cross-sectional survey was carried out to determine the level of satisfaction and knowledge acquired by undergraduate students in the health sciences during a community health outreach program. Students were invited to complete an online-administered questionnaire (consisting of both open- and closed-ended questions) to assess their perceptions and experiences on the community health outreach program. Additionally, the survey was carried out to assess the quality of training provided and obtain suggestions for further improvements. Responses were collected and analysed using Microsoft Excel. Most respondents (>83%) reported satisfaction with the community diagnosis and community intervention briefing and training sessions. All respondents reported familiarity with standard community health outreach instruments and were capable of identifying environmental health risk factors that may contribute to the spread of communicable diseases. Interestingly, respondents reported greater appreciation of health challenges faced by rural communities. However, respondents expressed dissatisfaction with the duration of the outreach program (24%) and funding (15%). Although respondents reported overall satisfaction with the organization and execution of the health outreach program, certain aspects of the program were deemed unsatisfactory. Despite the shortcomings, we believe that our student-centred learning strategy is readily adaptable for training future healthcare professionals and improving health literacy of rural communities, particularly in sub-Saharan Africa.

Influence of spatial resolution of PM2.5 concentrations and population on health impact assessment from 2010 to 2020 in China

Ambient PM2.5 pollution is a leading environmental health risk factor worldwide. The spatial resolution of PM2.5 concentrations and population strongly impacts PM2.5-related health impact estimates. However, long-term variations and regional differences in this impact have rarely been explored, particularly in China. Here, by aggregating satellite-derived PM2.5 concentration and population datasets at 1-km resolution in China to coarser resolutions (10, 50, and 100 km), we evaluated decadal changes in the impact of resolution on health assessments at national and local scales. For the sensitivity of population-weighted mean (PWM) PM2.5 concentrations to resolution, we found that the national PWM PM2.5 concentration decreased with coarser resolutions; this pattern was widely observed and was more obvious in southern and central China and the Sichuan Basin. The results showed that the sensitivity of national PWM PM2.5 concentrations to resolution continuously weakened from 2010 to 2020, likely due to a reduction in the spatial heterogeneity of PM2.5 concentrations in regions with high sensitivity. This weakness caused a large underestimation of the long-term trend of national PWM PM2.5 using a 100-km resolution, which was 7% lower than the trend at 1 km. Regarding the sensitivity of PM2.5-attributable mortality to resolution, most of China exhibited a pattern in which attributable mortality decreased with coarser resolution. The sensitivity of the estimated PM2.5-attributable mortality to resolution also weakened over time on a national scale and in most parts of China. Nevertheless, the weakness for mortality sensitivity was not as apparent as for PWM PM2.5 sensitivity. This was likely because different drivers played distinct roles in the temporal variation of the mortality sensitivity: population aging enhanced the sensitivity, and variations in PM2.5 concentrations and population distribution both weakened the sensitivity. However, the national attributable mortality trend at a 100-km resolution was still underestimated by 1.75% relative to the 1-km resolution.

Spatio-temporal patterns of tropospheric NO2 over India during 2005–2019

Air pollution is the leading environmental health risk factor globally. Nitrogen dioxide (NO2) is a criteria pollutant associated with adverse health effects. In India, the focus has been mostly on ambient PM2.5; hence understanding the space-time variability of NO2 and the potential role of different NO2 sources are required. This work aimed to address these two gaps by first examining a long-term spatial heterogeneity of NO2 and linking it to the major contributing sources (e.g., power plants and industries) over the Indian region, and secondly by examining the variability in land use patterns and its changes over the years 2005–2019. We analyzed tropospheric NO2 vertical columnar densities (VCDs) from the Ozone Monitoring Instrument (OMI) onboard the Aura satellite at a resolution of 0.1° × 0.1° for the period 2005 to 2019. We calculated linear trends in tropospheric NO2 VCDs and performed a significance test to ensure real changes. We also analyzed Global Human Settlement Layer (GHSL) data to identify the land use as ‘high-density urban,’ ‘low-density urban,’ ‘rural,’ and ‘no settlement.’ The spatial analysis found higher tropospheric NO2 VCDs (>5 × 1015 molecules/cm2) in eastern (coal belt with many power plants) and northern India, along with a few locations in central India. The change in tropospheric NO2 VCDs during the last 15 years showed an increasing trend (>2 × 1013 molecules/cm2) in most parts of India. Whereas during the last decade (2010–2019), the annual average trend over the country had reduced by up to ∼76% relative to 2005–2009. Tropospheric NO2 VCDs increased by 12.5%–29.6% from 2005 to 2019 across all levels of land settlement in India. Our study suggested considering NO2 as an important pollutant in addition to PM2.5 and developing a NO2 exposure model for further health impact assessment studies.

Environmental health risk factors and cutaneous leishmaniasis (CL): A case-control study in northeastern Iran.

Cutaneous leishmaniasis (CL) is one of the main causes of vector-born diseases in younger population. To evaluate the association of environmental health factors on the odds of CL incidence, a case-control study was conducted in northeastern Iran. This study was conducted within 2020-2021 based on individual and household data from a tertiary referral center. Cases were patients diagnosed with CL by PCR method; controls were selected among the patients' relatives, and information was obtained from a health registry system. Demographic and socioeconomic data of 1871 subjects, included age, sex, household information and environmental health factors. Multivariable models with environmental factors in various conditions and CL were separately fit by univariate and mixed multiple unconditional logistic regression. Participants included 617 cases (mean [SD] age, 13.62[13.72] years; 58.20% male) and 1264 controls (mean [SD] age, 16.45[15.44] years; 50.40% male). Results revealed that the use of well-water sources compared to surface water is significantly associated with CL (odds ratio [OR]=0.204; 95%CI, 0.13-0.33;P<0.001). Muddy houses, ruined buildings or wastelands and stagnant water, canals and rivers near the houses were also associated with CL (OR=3.85; 95%CI, 1.66-8.89; P=.002; OR=2.47; 95%CI, 1.76-3.47; P<.001). Besides, existence of pine tree was found to be a risk factor (OR=3.25; 95%CI, 2.12-4.99; P<.001) and similarly for the use of waste collection system (OR=4.43; 95%CI, 3.32-7.51; P<.001). Environmental factors related to houses were significantly associated with CL and may represent the modifiable risk factors of CL disease.

Incorporating Medical Museum Specimens Into the Training of Environmental Health Students.

Xenobiotics, radiation, and other environmental health risk factors leave their mark on human organs. This can be demonstrated through the use of pathology museum specimens. Upon completing two semesters of postgraduate studies in environmental health, a tour of the Museum of Pathology is offered to postgraduate students at Athens Medical School who are being trained in environmental health. A structured questionnaire is employed to assess the specimens' impact on several aspects: improving students' observational skills, reinforcing the taught material, acquiring new relevant knowledge, and cultivate the social-cognitive ability of empathy. Additionally, students are asked to evaluate the necessity of preserving metadata associated mainly with the social context of the specimens. This research-educational initiative, a component of an ongoing larger project, underscores the significant educational and research value of museum specimens pertaining to environmental health. Furthermore, effectively utilizing such exhibits can enrich the museum experience for visitors and increase public awareness of environmental health issues.

Environmental health influences in pregnancy and risk of gestational diabetes mellitus: a systematic review

BackgroundGestational diabetes mellitus (GDM) is one of the most common pregnancy complications globally. Environmental risk factors may lead to increased glucose levels and GDM, which in turn may affect not only the health of the mother but assuming hypotheses of "fetal programming", also the health of the offspring. In addition to traditional GDM risk factors, the evidence is growing that environmental influences might affect the development of GDM. We conducted a systematic review analyzing the association between several environmental health risk factors in pregnancy, including climate factors, chemicals and metals, and GDM.MethodsWe performed a systematic literature search in Medline (PubMed), EMBASE, CINAHL, Cochrane Library and Web of Science Core Collection databases for research articles published until March 2021. Epidemiological human and animal model studies that examined GDM as an outcome and / or glycemic outcomes and at least one environmental risk factor for GDM were included.ResultsOf n = 91 studies, we classified n = 28 air pollution, n = 18 persistent organic pollutants (POP), n = 11 arsenic, n = 9 phthalate n = 8 bisphenol A (BPA), n = 8 seasonality, n = 6 cadmium and n = 5 ambient temperature studies. In total, we identified two animal model studies. Whilst we found clear evidence for an association between GDM and air pollution, ambient temperature, season, cadmium, arsenic, POPs and phthalates, the findings regarding phenols were rather inconsistent. There were clear associations between adverse glycemic outcomes and air pollution, ambient temperature, season, POPs, phenols, and phthalates. Findings regarding cadmium and arsenic were heterogeneous (n = 2 publications in each case).ConclusionsEnvironmental risk factors are important to consider in the management and prevention of GDM. In view of mechanisms of fetal programming, the environmental risk factors investigated may impair the health of mother and offspring in the short and long term. Further research is needed.

Validation of North American land data assimilation system Phase 2 (NLDAS-2) air temperature forcing and downscaled data with New York State station observations

Climate and meteorological factors including temperature and associated heat exposure metrics are related to environmental health risk factors and the incidence of health effects. While meteorological station data provide a good source of point measurements, temporal and spatially consistent temperature data are needed for health studies. Reanalysis data such as the North American Land Data Assimilation System’s (NLDAS) 12 km gridded product are an effort to resolve spatio-temporal environmental data issues. With funding from the NASA Applied Sciences Program, the NLDAS 12 km air temperature product has been downscaled to 1 km using MODIS Land Surface Temperature patterns. Limited validation of the native 12 km NLDAS reanalysis data has been undertaken. Our objective is to evaluate the accuracy of both the 12 km and 1 km downscaled products using the US Historical Climatology Network station data geographically dispersed across New York State for 2006, 2009, and 2010. These years were selected by a climatological analysis over the past 10 years that found 2006 to be a reference year with near-normal temperatures, 2009 a cool year and 2010 a warm year. Statistical methods including correlation, scatterplots, time series and summary statistics were used to determine the accuracy of the remotely sensed maximum and minimum temperature products. The effects of elevation and terrain slope on remotely sensed temperature product accuracy were determined with 10 m digital elevation data. National Land Cover Land Use data was used to determine the effect of mixed pixels on the accuracy of the NLDAS products. Results show the downscaled temperature product improves accuracy over the native 12 km temperature product with average correlation improvements from 0.82 to 0.87 for minimum and 0.76 to 0.85 for maximum temperatures. Higher terrain slope was related to lower correlations between stations and remotely sensed products. Stations in pixels with higher percentages of open water tended to have higher correlations. Our results inform health studies using remotely sensed temperature products to determine health risk from excessive heat by providing a more robust assessment of the accuracy of the 12 km NLDAS product and additional accuracy gained from the 1 km downscaled product.

Sociodemographic and environmental health risk factor of COVID-19 in Jakarta, Indonesia: An ecological study

Since December 2019, the COVID-19 pandemic has rapidly emerged on a global scale. Many factors have influenced the spread of COVID-19. This research studies the sociodemographic and environmental health risk factors associated with COVID-19. The study used an ecological study design with subdistricts as its unit of analysis. The total population was 44 subdistricts. Data analysis used correlation and linear regression tests. The study results showed that the average COVID-19 incident rate in Jakarta is 99.8 per 10,000 population. Risk factors for the spread of COVID-19 were associated with population's high level of education (B = 3.094, p value<0.001), population density (B = 0.275, p value = 0.029), and slum area (B = 0.404, p value<0.001). The main risk factor for the spread of COVID-19 in Jakarta is high level of education, which can reflect a higher economic status to the population and a tendency to be more mobile. The government needs to enforce a mobility restriction to lessen the spread of COVID-19.

Source sector and fuel contributions to ambient PM2.5 and attributable mortality across multiple spatial scales

Ambient fine particulate matter (PM2.5) is the world’s leading environmental health risk factor. Reducing the PM2.5 disease burden requires specific strategies that target dominant sources across multiple spatial scales. We provide a contemporary and comprehensive evaluation of sector- and fuel-specific contributions to this disease burden across 21 regions, 204 countries, and 200 sub-national areas by integrating 24 global atmospheric chemistry-transport model sensitivity simulations, high-resolution satellite-derived PM2.5 exposure estimates, and disease-specific concentration response relationships. Globally, 1.05 (95% Confidence Interval: 0.74–1.36) million deaths were avoidable in 2017 by eliminating fossil-fuel combustion (27.3% of the total PM2.5 burden), with coal contributing to over half. Other dominant global sources included residential (0.74 [0.52–0.95] million deaths; 19.2%), industrial (0.45 [0.32–0.58] million deaths; 11.7%), and energy (0.39 [0.28–0.51] million deaths; 10.2%) sectors. Our results show that regions with large anthropogenic contributions generally had the highest attributable deaths, suggesting substantial health benefits from replacing traditional energy sources.

Effect of Seasonal Variation on the Relationship of Indoor Air Particulate Matter with Measures of Obesity and Blood Pressure in Children.

Background.Particulate matter (PM) air pollution is an important environmental health risk factor. Although some studies have shown PM to be associated with obesity and hypertension, very few studies have assessed the association of indoor PM specifically with obesity and blood pressure measures in children with respect to seasonal variation.Objectives.The present study investigated the relationship of PM with obesity and blood pressure variables in children across the winter and summer seasons.Methods.A comparative descriptive approach was adopted and school children from 10–14 years of age from selected rural and urban localities of the Eastern Cape Province of South Africa were assessed in winter and summer. Anthropometric measurements were taken, including height, weight, waist circumference, body mass index (BMI), and total fat mass (TFM), while blood pressure variables including systolic blood pressure (SBP), diastolic blood pressure (DBP) and heart rate (HR) were measured. Indoor air PM concentrations were measured in the classrooms in the presence of children.Results.The prevalence of obesity and hypertension in children were 13.4% and 5.1% in winter and 12.9% and 1.0% in summer, respectively. High blood pressure was more prevalent in children in rural areas, while the prevalence of obesity in children was higher in urban areas. Particulate matter was significantly (p<0.05) higher in rural areas compared to urban areas. Obese children in summer had a greater than 3-fold association (AOR: 3.681, p=0.005) with 4th interquartile range (IQR) of PM5 and a greater than 3- and 4-fold association (AOR: 3.08; 4.407; p<0.05) with 2nd and 4th IQR of PM10, respectively, than their overweight, normal weight or underweight counterparts. High blood pressure was not associated (p< 0.05) with PM.Conclusions.High concentrations of indoor PM were positively associated with obesity in children in summer, particularly among rural children. This association could be accounted for by location and seasonal differences.Participant Consent.ObtainedEthics Approval.Ethics approval was obtained from the Health Sciences Ethics Committee of Walter Sisulu University, South Africa (Ref No: CHI011SCHU01).Competing Interests.The authors declare no competing financial interests.

Heterogeneous Urban Exposures and Prevalent Hypertension in the Helsinki Capital Region, Finland.

Urban dwellers are simultaneously exposed to several environmental health risk factors. This study aimed to examine the relationship between long-term exposure to fine particulate matter (PM2.5, diameter < 2.5 µm) of residential-wood-burning and road-traffic origin, road-traffic noise, green space around participants’ homes, and hypertension. In 2015 and 2016, we conducted a survey of residents of the Helsinki Capital Region to determine their perceptions of environmental quality and safety, lifestyles, and health statuses. Recent antihypertensive medication was used as an indicator of current hypertensive illness. Individual-level exposure was estimated by linking residential coordinates with modelled outdoor levels of wood-smoke- and traffic-related PM2.5, road-traffic noise, and coverage of natural spaces. Relationships between exposure and hypertension were modelled using multi-exposure and single-exposure binary logistic regression while taking smooth functions into account. Twenty-eight percent of the participants were current users of antihypertensive medication. The odds ratios (95% confidence interval) for antihypertensive use were 1.12 (0.78–1.57); 0.97 (0.76–1.26); 0.98 (0.93–1.04) and 0.99 (0.94–1.04) for wood-smoke PM2.5, road-traffic PM2.5, road-traffic noise, and coverage of green space, respectively. We found no evidence of an effect of the investigated urban exposures on prevalent hypertension in the Helsinki Capital Region.

High Level of Real Urban Air Pollution Promotes Cardiac Arrhythmia in Healthy Mice.

Background and ObjectivesAmbient particulate matter (PM) in real urban air pollution (RUA) is an environmental health risk factor associated with increased cardiac events. This study investigated the threshold level to induce arrhythmia, as well as arrhythmogenic mechanism of RUA that mainly consisted of PM <2.5 μm in aerodynamic diameter close to ultrafine particles.MethodsRUA was artificially produced by a lately developed pyrolysis based RUA generator. C57BL/6 mice were divided into 4 groups: a control group (control, n=12) and three groups with exposure to RUA with the concentration of 200 µg/m3 (n=12), 400 µg/m3 (n=12), and 800 µg/m3 (n=12). Mice were exposed to RUA at each concentration for 8 hr/day and 5 day/week to mimic ordinary human activity during 3 weeks.ResultsThe QRS and QTc intervals, as well as intracellular Ca2+ duration, apicobasal action potential duration (APD) gradient, fibrosis, and inflammation of left ventricle of mouse hearts were increased dose-dependently with the increase of RUA concentration, and significantly increased at RUA concentration of 400 µg/m3 compared to control (all p<0.001). In mice exposed to RUA concentration of 800 µg/m3, spontaneous ventricular arrhythmia was observed in 42%, with significant increase of inflammatory markers, phosphorylated Ca2+/calmodulin-dependent protein kinase II (CaMKII), and phospholamban (PLB) compared to control.ConclusionsRUA could induce electrophysiological changes such as APD and QT prolongation, fibrosis, and inflammation dose-dependently, with significant increase of ventricular arrhythmia at the concentration of 400 µg/m3. RUA concentration of 800 µg/m3 increased phosphorylation of CaMKII and PLB.

Air Pollution and the Dynamic Association Between Depressive Symptoms and Memory in Oldest-Old Women.

Exposure to air pollution may contribute to both increasing depressive symptoms and decreasing episodic memory in older adulthood, but few studies have examined this hypothesis in a longitudinal context. Accordingly, we examined the association between air pollution and changes in depressive symptoms (DS) and episodic memory (EM) and their interrelationship in oldest-old (aged 80 and older) women. Prospective cohort data from the Women's Health Initiative Memory Study-Epidemiology of Cognitive Health Outcomes. Geographically diverse community-dwelling population. A total of 1,583 dementia-free women aged 80 and older. Women completed up to six annual memory assessments (latent composite of East Boston Memory Test and Telephone Interview for Cognitive Status) and the 15-item Geriatric Depression Scale (GDS-15). We estimated 3-year average exposures to regional particulate matter with aerodynamic diameter below 2.5 μm (PM2.5 ) (interquartile range [IQR] = 3.35 μg/m3 ) and gaseous nitrogen dioxide (NO2 ) (IQR = 9.55 ppb) at baseline and during a remote period 10 years earlier, using regionalized national universal kriging. Latent change structural equation models examined whether residing in areas with higher pollutant levels was associated with annual changes in standardized EM and DS while adjusting for potential confounders. Remote NO2 (β = .287 per IQR; P = .002) and PM2.5 (β = .170 per IQR; P = .019) exposure was significantly associated with larger increases in standardized DS, although the magnitude of the difference, less than 1 point on the GDS-15, is of questionable clinical significance. Higher DS were associated with accelerated EM declines (β = -.372; P = .001), with a significant indirect effect of remote NO2 and PM2.5 exposure on EM declines mediated by DS. There were no other significant indirect exposure effects. These findings in oldest-old women point to potential adverse effects of late-life exposure to air pollution on subsequent interplay between DS and EM, highlighting air pollution as an environmental health risk factor for older women.

Faktor Risiko Kesehatan Lingkungan Di Sekolah Dasar Kabupaten Padang Pariaman

School conditions that do not meet environmental health requirements are a threat to students and school members to be affected by health problems and infectious diseases. The purpose of this study was to analyze risk factors for environmental health at SDN 13 Batang Gasan and the potential health problems that would arise. This research is descriptive, with the population is the facilities and infrastructure and all students of SD Negeri 13 Batang Gasan, totaling 82 people. Data analysis was performed using environmental health risk factor analysis, namely providing answers about the risks that will arise, by dividing 6 risk criteria, namely very high (&gt; 80%), high (60% -79%), moderate (40% -59%), low (20% -39%), very low (1% -19%) and safe / not risky (0%). The results of the study prove that the level of environmental health risk in Public Elementary School 13 is high (65%). It is suggested that schools need to make efforts to control risk factors.