scholarly journals Air Pollution Is Associated with Poor Cognitive Function in Taiwanese Adults

2021 ◽  
Vol 18 (1) ◽  
pp. 316
Author(s):  
Meng-Chieh Chen ◽  
Chen-Feng Wang ◽  
Bo-Cheng Lai ◽  
Sun-Wung Hsieh ◽  
Szu-Chia Chen ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Cognitive Function ◽  
Cognitive Decline ◽  
Cognitive Functioning ◽  
Air Pollutants ◽  
Protective Factor ◽  
Linear Regression Analysis ◽  
Aerodynamic Diameter ◽  
High Nitrogen

The issue of air pollution is gaining increasing attention worldwide, and mounting evidence has shown an association between air pollution and cognitive decline. The aim of this study was to investigate the relationships between air pollutants and cognitive impairment using the Mini-Mental State Exam (MMSE) and its sub-domains. In this study, we used data from the Taiwan Biobank combined with detailed daily data on air pollution. Cognitive function was assessed using the MMSE and its five subgroups of cognitive functioning. After multivariable linear regression analysis, a high level of particulate matter with an aerodynamic diameter of ≤2.5 μm (PM2.5), low ozone (O3), high carbon monoxide (CO), high sulfur dioxide (SO2), high nitric oxide (NO), high nitrogen dioxide (NO2), and high nitrogen oxide (NOx) were significantly associated with low total MMSE scores. Further, high SO2 and low O3 were significantly associated with low MMSE G1 scores. Low O3, high CO, high SO2, high NO2, and high NOx were significantly associated with low MMSE G4 scores, and high PM2.5, high particulate matter with an aerodynamic diameter of ≤10 μm (PM10), high SO2, high NO2, and high NOx were significantly associated with low MMSE G5 scores. Our results showed that exposure to different air pollutants may lead to general cognitive decline and impairment of specific domains of cognitive functioning, and O3 may be a protective factor. These findings may be helpful in the development of policies regarding the regulation of air pollution.

scholarly journals The Short-Term Effects of Ambient Air Pollutants on Childhood Asthma Hospitalization in Taiwan: A National Study

2019 ◽  
Vol 16 (2) ◽  
pp. 203 ◽  
Author(s):  
Ching-Yen Kuo ◽  
Chin-Kan Chan ◽  
Chiung-Yi Wu ◽  
Dinh-Van Phan ◽  
Chien-Lung Chan
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Childhood Asthma ◽  
Air Pollutants ◽  
Linear Regression Analysis ◽  
Significant Risk ◽  
Ambient Air ◽  
National Study ◽  
Relative Risks ◽  
Asthma Hospitalization

This investigation determined the effects of air pollution on childhood asthma hospitalization in regions with differing air pollution levels in Taiwan over a long time period. Data of childhood hospital admissions for asthma in patients aged 0–18 years and air quality in eight regions for the period 2001–2012 in Taiwan were collected. Poisson generalized linear regression analysis was employed to identify the relative risks of hospitalization due to asthma in children associated with exposure to varying levels of air pollutants with a change in the interquartile range after adjusting for temperature and relative humidity. Particulate matter ≤2.5 μm (PM2.5), particulate matter ≤10 μm (PM10), ozone (O3), sulfur dioxide (SO2), and nitrogen dioxide (NO2), were positively associated with childhood asthma hospitalization, while O3 was negatively associated with childhood asthma hospitalization. SO2 was identified as the most significant risk factor. The relative risks for asthma hospitalization associated with air pollutants were higher among children aged 0–5 years than aged 6–18 years and were higher among males than females. The effects of air pollution on childhood asthma were greater in the higher-level air pollution regions, while no association was observed in the lower-level air pollution regions. These findings may prove important for policymakers involved in implementing policies to reduce air pollution.

scholarly journals Association between exposure to ambient air pollution and hospital admission, incidence, and mortality of stroke: an updated systematic review and meta-analysis of more than 23 million participants

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Zhiping Niu ◽  
Feifei Liu ◽  
Hongmei Yu ◽  
Shaotang Wu ◽  
Hao Xiang
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Hospital Admission ◽  
Air Pollutants ◽  
Meta Analysis ◽  
Air Pollutant ◽  
Pollutant Concentration ◽  
Aerodynamic Diameter ◽  
Stroke Incidence ◽  
Incidence And Mortality

Abstract Background Previous studies have suggested that exposure to air pollution may increase stroke risk, but the results remain inconsistent. Evidence of more recent studies is highly warranted, especially gas air pollutants. Methods We searched PubMed, Embase, and Web of Science to identify studies till February 2020 and conducted a meta-analysis on the association between air pollution (PM2.5, particulate matter with aerodynamic diameter less than 2.5 μm; PM10, particulate matter with aerodynamic diameter less than 10 μm; NO2, nitrogen dioxide; SO2, sulfur dioxide; CO, carbon monoxide; O3, ozone) and stroke (hospital admission, incidence, and mortality). Fixed- or random-effects model was used to calculate pooled odds ratios (OR)/hazard ratio (HR) and their 95% confidence intervals (CI) for a 10 μg/m3 increase in air pollutant concentration. Results A total of 68 studies conducted from more than 23 million participants were included in our meta-analysis. Meta-analyses showed significant associations of all six air pollutants and stroke hospital admission (e.g., PM2.5: OR = 1.008 (95% CI 1.005, 1.011); NO2: OR = 1.023 (95% CI 1.015, 1.030), per 10 μg/m3 increases in air pollutant concentration). Exposure to PM2.5, SO2, and NO2 was associated with increased risks of stroke incidence (PM2.5: HR = 1.048 (95% CI 1.020, 1.076); SO2: HR = 1.002 (95% CI 1.000, 1.003); NO2: HR = 1.002 (95% CI 1.000, 1.003), respectively). However, no significant differences were found in associations of PM10, CO, O3, and stroke incidence. Except for CO and O3, we found that higher level of air pollution (PM2.5, PM10, SO2, and NO2) exposure was associated with higher stroke mortality (e.g., PM10: OR = 1.006 (95% CI 1.003, 1.010), SO2: OR = 1.006 (95% CI 1.005, 1.008). Conclusions Exposure to air pollution was positively associated with an increased risk of stroke hospital admission (PM2.5, PM10, SO2, NO2, CO, and O3), incidence (PM2.5, SO2, and NO2), and mortality (PM2.5, PM10, SO2, and NO2). Our study would provide a more comprehensive evidence of air pollution and stroke, especially SO2 and NO2.

scholarly journals Associations of Exposure to Air Pollution with Insulin Resistance: A Systematic Review and Meta-Analysis

2018 ◽  
Vol 15 (11) ◽  
pp. 2593 ◽  
Author(s):  
Jiajia Dang ◽  
Mengtong Yang ◽  
Xinge Zhang ◽  
Haotian Ruan ◽  
Guiyu Qin ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Air Pollution ◽  
Particulate Matter ◽  
Cohort Studies ◽  
Air Pollutants ◽  
English Language ◽  
Meta Analysis ◽  
Percentage Change ◽  
Model Assessment ◽  
Aerodynamic Diameter

In this article, we review the available evidence and explore the association between air pollution and insulin resistance (IR) using meta-analytic techniques. Cohort studies published before January 2018 were selected through English-language literature searches in nine databases. Six cohort studies were included in our sample, which assessed air pollutants including PM2.5 (particulate matter with an aerodynamic diameter less than or equal to 2.5 μm), NO2(nitrogen dioxide), and PM10 (particulate matter with an aerodynamic diameter less than 10 μm). Percentage change in insulin or insulin resistance associated with air pollutants with corresponding 95% confidence interval (CI) was used to evaluate the risk. A pooled effect (percentage change) was observed, with a 1 μg/m3 increase in NO2 associated with a significant 1.25% change (95% CI: 0.67, 1.84; I2 = 0.00%, p = 0.07) in the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and a 0.60% change (95% CI: 0.17, 1.03; I2 = 30.94%, p = 0.27) in insulin. Similar to the analysis of NO2, a 1 μg/m3 increase in PM10 was associated with a significant 2.77% change (95% CI: 0.67, 4.87; I2 = 94.98%, p < 0.0001) in HOMA-IR and a 2.75% change in insulin (95% CI: 0.45, 5.04; I2 = 58.66%, p = 0.057). No significant associations were found between PM2.5 and insulin resistance biomarkers. We conclude that increased exposure to air pollution can lead to insulin resistance, further leading to diabetes and cardiometabolic diseases. Clinicians should consider the environmental exposure of patients when making screening and treatment decisions for them.

Associations Between Ambient Particulate Air Pollution and Cognitive Function in Indonesian Children Living in Forest Fire–Prone Provinces

2021 ◽  
pp. 101053952110317
Author(s):  
Bin Jalaludin ◽  
Frances L. Garden ◽  
Agata Chrzanowska ◽  
Budi Haryanto ◽  
Christine T. Cowie ◽  
...  
Keyword(s):  
Air Pollution ◽  
Cognitive Function ◽  
Forest Fire ◽  
Forest Fires ◽  
Regression Models ◽  
Individual Factors ◽  
Aerodynamic Diameter ◽  
Particulate Air Pollution ◽  
Multivariable Models ◽  
Particulate Matter 2.5

Smoke from forest fires can reach hazardous levels for extended periods of time. We aimed to determine if there is an association between particulate matter ≤2.5 µm in aerodynamic diameter (PM2.5) and living in a forest fire–prone province and cognitive function. We used data from the Indonesian Family and Life Survey. Cognitive function was assessed by the Ravens Colored Progressive Matrices (RCPM). We used regression models to estimate associations between PM2.5 and living in a forest fire–prone province and cognitive function. In multivariable models, we found very small positive relationships between PM2.5 levels and RCPM scores (PM2.5 level at year of survey: β = 0.1%; 95% confidence interval [CI] = 0.01% to 0.19%). There were no differences in RCPM scores for children living in forest fire–prone provinces compared with children living in non-forest fire–prone provinces (mean difference = −1.16%, 95% CI = −2.53% to 0.21%). RCPM scores were lower for children who had lived in a forest fire–prone province all their lives compared with children who lived in a non-forest fire–prone province all their life (β = −1.50%; 95% CI = −2.94% to −0.07%). Living in a forest fire–prone province for a prolonged period of time negatively affected cognitive scores after adjusting for individual factors.

scholarly journals Perception of Neighborhood Characteristics During Childhood and Cognitive Health Among Older Adults in China

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 439-439
Author(s):  
Changmin Peng ◽  
Sae Hwang Han ◽  
Jeffrey Burr
Keyword(s):  
Cognitive Function ◽  
Cognitive Decline ◽  
Cognitive Functioning ◽  
Social Cohesion ◽  
Later Life ◽  
Neighborhood Characteristics ◽  
Neighborhood Safety ◽  
Cognitive Health ◽  
Childhood Conditions ◽  
Neighborhood Environments

Abstract Neighborhood environments shape the availability of resources for social engagement and social interaction, which are associated with better health outcomes. However, these contextual factors are also considered sources of potential social distress and tension, increasing the risk of subsequent health deficits, including cognitive decline. Our understanding of the linkage between childhood neighborhood environments and cognitive functioning in later life is limited. This study employed three waves of nationally representative data from the China Health and Retirement Longitudinal Study (2011-2015; N = 11,105) to investigate the relationship between self-reported neighborhood social cohesion during childhood (i.e., neighborhood safety, neighbors willing to help, and close-knit neighborhood) and cognitive functioning (Chinese version of TICS). We employed latent growth curve modeling to test hypotheses relating to life course models of childhood conditions and later life cognitive functioning (the long arm of childhood). The results showed that perceptions regarding the willingness of neighbors to help and close-knit neighborhood characteristics during childhood were positively associated with levels of later life cognitive function. Further, growing up in a neighborhood characterized by the willingness of neighbors to help others was negatively associated with the rate of cognitive decline, net of childhood and adulthood covariates. Self-report of neighborhood safety during childhood was unrelated to cognitive function (level and change). These findings underscored the long-term ramifications of childhood conditions as potential risk factors for later-life cognitive health. Social cohesion at the neighborhood level as experienced during childhood may be a protective factor for healthy cognitive aging among older Chinese adults.

scholarly journals STUDY OF IMPACT OF AIR POLLUTION ON PLANTS BY ESTIMATION OF APTI OF CERTAIN TREES IN KATRAJ AREA IN PUNE CITY

2020 ◽  
pp. 39-43
Author(s):  
Erum F H Kazi ◽  
Dr. Satish Kulkarni
Keyword(s):  
Air Pollution ◽  
Ascorbic Acid ◽  
Particulate Matter ◽  
Water Content ◽  
Relative Water Content ◽  
Air Pollutants ◽  
Total Chlorophyll ◽  
Mango Tree ◽  
Relative Water ◽  
Leaf Relative Water Content

Air pollution is one of major concerns in Pune City currently. Study highlights increase in Particulate matter from Vehicular sources & Urbanization in Karaj area is having harmful impact on the trees in the area. Leaf of Plant species such as Peepal( Ficusreligiosa),, Tamarind(Tamarindusindica), Rain tree( Samaneasaman), Ashoka( Saracaasoca), Manago( Mangiferaindica), Almond( Terminaliacatappa) , Banyan tree(Ficusbenghalensis) were selected and it was found that Ashoka( Saracaasoca), Mango tree( Mangiferaindica) showed Intermediate APTI whereas Peepal, Tamarind, Rain tree, Almond, Banyan tree were found to be Sensitive to pollution. KEYWORDS: Air Pollutants, APTI of plants, Total Chlorophyll, Ascorbic acid, p H of leaf, Relative water Content ( RWC)

scholarly journals Air Pollution and Human Sperm Sex Ratio

2018 ◽  
Vol 12 (4) ◽  
pp. 907-912 ◽  
Author(s):  
Michał Radwan ◽  
Emila Dziewirska ◽  
Paweł Radwan ◽  
Lucjusz Jakubowski ◽  
Wojciech Hanke ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Sex Ratio ◽  
Human Sperm ◽  
Quality Data ◽  
Aerodynamic Diameter ◽  
Limited Data ◽  
Study Population ◽  
Air Quality Data

The present study was designed to address the hypothesis that exposure to specific air pollutants may impact human sperm Y:X chromosome ratio. The study population consisted of 195 men who were attending an infertility clinic for diagnostic purposes and who had normal semen concentration of 15–300 mln/ml (WHO, 2010). Participants represented a subset of men in a multicenter parent study conducted in Poland to evaluate environmental factors and male fertility. Participants were interviewed and provided a semen sample. The Y:X ratio was assessed by fluorescent in situ hybridization (FISH). Air quality data were obtained from the AirBase database. In multivariate analysis the significant reduction was observed in the proportion of Y/X chromosome bearing sperm and exposure to particulate matter >10 μm in aerodynamic diameter PM10 ( p = .009) and particulate matter <10 μm in aerodynamic diameter PM2.5 ( p = .023). The observed effects of a lower Y:X sperm chromosome ratio among men exposed to air pollution support the evidence that the trend of declining sex ratio in several societies over past decades has been due to exposure to air pollution; however due to limited data on this issue, the obtained results should be confirmed in longitudinal studies.

scholarly journals The Association Between Diabetes and Cognitive Function in Later Life

2019 ◽  
Vol 12 (1) ◽  
pp. 62-66
Author(s):  
Yadollah A. Momtaz ◽  
Tengku A. Hamid ◽  
Mohamad F. Bagat ◽  
Maryam Hazrati
Keyword(s):  
Cognitive Impairment ◽  
Cognitive Function ◽  
Cognitive Decline ◽  
Linear Regression Analysis ◽  
Later Life ◽  
Multiple Linear Regression Analysis ◽  
Population Based ◽  
Term Treatment ◽  
Diabetic Patients ◽  
Long Term Treatment

Introduction: Although diabetes through several possible mechanisms such as increased microvascular pathology and inefficiency of glucose utilization during cognitive tasks can be associated with cognitive impairment, there is inconclusive evidence that shows elderly diabetic patients under therapy have higher cognitive function compared to their non-diabetics counterparts. The present study was conducted to elucidate the association between diabetes and cognitive function in later life. Methods: Data for this study, consisting of 2202 older adults aged 60 years and above, were taken from a population-based survey entitled “Identifying Psychosocial and Identifying Economic Risk Factor of Cognitive Impairment among Elderly. Data analysis was conducted using the IBM SPSS Version 23.0. Results: The mean of MMSE was found to be 22.67 (SD = 4.93). The overall prevalence of selfreported diabetes was found to be 23.6% (CI95%: 21.8% - 25.4%). The result of independent t-test showed diabetic subjects had a higher mean score of MMSE (M = 23.05, SD =4 .55) than their counterparts without diabetes (M = 22.55, SD = 5.04) (t = -2.13 p<.05). The results of multiple linear regression analysis showed that diabetes was not significantly associated with cognitive function, after controlling the possible confounding factors. Conclusions: The findings from the current study revealed that diabetes is not associated with cognitive decline. This study supports the findings that long-term treatment of diabetes may reduce the risk of cognitive decline. This finding may provide new opportunities for the prevention and management of cognitive decline.

scholarly journals A critical review of the epidemiological evidence of effects of air pollution on dementia, cognitive function and cognitive decline in adult population

2021 ◽  
Vol 757 ◽  
pp. 143734
Author(s):  
Juana Maria Delgado-Saborit ◽  
Valentina Guercio ◽  
Alison M. Gowers ◽  
Gavin Shaddick ◽  
Nick C. Fox ◽  
...  
Keyword(s):  
Air Pollution ◽  
Cognitive Function ◽  
Cognitive Decline ◽  
Critical Review ◽  
Adult Population ◽  
Epidemiological Evidence

Air Quality in Riga and Its Improvement Options

2011 ◽  
Vol 7 (-1) ◽  
pp. 72-78
Author(s):  
Janis Kleperis ◽  
Gunars Bajars ◽  
Ingrida Bremere ◽  
Martins Menniks ◽  
Arturs Viksna ◽  
...  
Keyword(s):  
Air Pollution ◽  
Energy Efficiency ◽  
Particulate Matter ◽  
Air Quality ◽  
European Commission ◽  
Air Pollutants ◽  
Transport Sector ◽  
Industrial Sectors ◽  
Particle Pollution ◽  
The City

Air Quality in Riga and Its Improvement Options Air quality in the city of Riga is evaluated from direct monitoring results and from accounting registered air pollutants in the city. It is concluded that from all air polluting substances listed in the European Commission directives, only nitrogen dioxide NO2 and particulate matter PM10 exceed the limits. In assessing the projected measures to improve air quality in Riga, it can be concluded that the implementation of cleaner fuels and improvements in energy efficiency of household and industrial sectors will decrease particle pollution, but measures in the transport sector will also contribute to reducing air pollution from nitrogen oxides.

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