scholarly journals The Relationship Between Air Pollution and All-Cause Mortality in Singapore

Atmosphere ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 9 ◽  
Author(s):  
Ho ◽  
Zheng ◽  
Cheong ◽  
En ◽  
Pek ◽  
...  
Keyword(s):  
Air Pollution ◽  
Health Hazard ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
World Population ◽  
Distributed Lag ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Unit Increase ◽  
The Relationship

Ambient air pollution is a risk factor for both acute and chronic diseases and poses serious health threats to the world population. We aim to study the relationship between air pollution and all-cause mortality in the context of a city-state exposed to the Southeast Asian haze problem. The primary exposure was ambient air pollution, as measured by the Pollutants Standards Index (PSI). The outcome of interest was all-cause mortality from 2010–2015. A time-stratified case-crossover design was performed. A conditional Poisson regression model, including environmental variables such as PSI, temperature, wind speed, and rainfall, was fitted to the daily count of deaths to estimate the incidence rate ratio (IRR) of mortality per unit increase in PSI, accounting for overdispersion and autocorrelation. To account for intermediate exposure effects (maximum lag of 10 days), a distributed lag non-linear model was used. There were 105,504 deaths during the study period. Increment in PSI was significantly associated with an increased risk of mortality. The adjusted IRR of mortality per the 10-unit increase in PSI was 1.01 (95%CI = 1.00–1.01). The lag effect was stronger when PSI was in the unhealthy range compared to the good and moderate ranges. At lag = 7 days, PSI appeared to have an adverse effect on mortality, although the effect was not significant. These findings provide evidence on the general health hazard of exposure to air pollution and can potentially guide public health policies in the region.

Abstract P043: Does The Severity of Coronary Artery Disease Explain The Increased Risk of Death and Myocardial Infarction From Ambient Air Pollution Exposure?

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Somjot S Brar ◽  
Denise Le ◽  
Sumit Khandhar ◽  
Dong Chang ◽  
Lindsay Short ◽  
...  
Keyword(s):  
Air Pollution ◽  
Coronary Artery ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Left Main ◽  
Left Main Disease ◽  
Increased Risk ◽  
Artery Disease ◽  
The Relationship ◽  
Road Distance

BACKGROUND: Ambient air pollution from traffic increases cardiovascular morbidity and mortality and is associated with coronary artery calcification. Whether this increased risk is mediated by severity of coronary artery disease (CAD) remains unknown. METHODS: In this pilot study, the relationship between living near a major roadway and multivessel CAD confirmed by invasive coronary angiographic was explored. Subjects undergoing coronary angiography in the Los Angeles metropolitan area in 2009-10 were randomly selected. Investigators blinded to the exposure status reviewed coronary angiograms. Subjects were categorized as having: absence of or non-obstructive CAD, 1-vessel, 2-vessel, or 3-vessel CAD based upon the number of major epicardial vessels with > 70% stenoses. The distance from each subject's residence to the nearest major road was calculated in meters. Multivariate logistic regression was used to explore the relationship between severity of CAD and distance to major roadway. RESULTS: There were 642 subjects undergoing coronary angiography. The mean age (SD) was 64 years (12) and 36% were female. In multivariate analysis log-road distance was a predictor of multivessel CAD, odds ratio (OR) = 0.85 (95%CI, 0.75-0.98; p=0. 02) after adjusting for age, gender, hypertension, and diabetes, and smoking status. Other predictors of multivessel CAD included from the multivariate logist model were: male gender (OR, 3.00, 95% CI, 2.06-4.39; p<0.001), diabetes (OR, 2.49; 95% CI, 1.75-3.54; p<0.001), and hypertension 2.58; 95%CI, 1.28-5.21; p=0.008). The most severe form of CAD, >50% stenosis of the left main artery, was observed in 6.6% of the cohort. In a multivariate model, age (P = 0.002) and diabetes (P = 0.002) were significant predictors of severe left main disease; there was a trend for log-road distance (OR, 0.83; 95% CI, 0.67-1.02; P = 0.079) with left main disease. CONCLUSIONS: Multivessel CAD was strongly associated with traditional risk factors. After adjusting for these factors, living near a major roadway was also a predictor. This study demonstrates the feasibility of exploring the association between angiographic CAD and traffic pollution. Additional studies are needed to better understand the mechanisms underlying the increase in adverse cardiovascular events from air pollution.

scholarly journals Relationship between air pollution and positivity of RA-related autoantibodies in individuals without established RA: a report on SERA

2013 ◽  
Vol 72 (12) ◽  
pp. 2002-2005 ◽  
Author(s):  
Ryan W Gan ◽  
Kevin D Deane ◽  
Gary O Zerbe ◽  
M Kristen Demoruelle ◽  
Michael H Weisman ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Air Pollution ◽  
Ambient Air ◽  
Pollution Monitoring ◽  
Ambient Air Pollution ◽  
Air Pollution Monitoring ◽  
American College Of Rheumatology ◽  
Increased Risk ◽  
Distance Weighting ◽  
The Relationship

IntroductionStudies suggest that respiratory exposures including smoking, proximity to traffic and air pollution might be associated with development of rheumatoid arthritis (RA). RA-related autoantibodies are predictive of the development of RA.ObjectiveWe evaluated the relationship between RA-related autoantibodies and exposure to particulate matter (PM), a measure of air pollution of interest to health, in individuals without RA.MethodsThe Studies of the Etiology of Rheumatoid Arthritis (SERA) is a multicentre study following first-degree relatives (FDRs) of a proband with RA. FDRs are without the 1987 ACR (American College of Rheumatology) classifiable RA at enrolment and are followed for the development of RA-related autoimmunity. RA-related autoantibody outcomes as well as tender and swollen joint outcomes were assessed. Exposure to PM was assigned using ambient air pollution monitoring data and interpolated with inverse distance weighting spatial analyses using Geographic Information Systems. PM exposures were linked to FDR's residential zip codes.ResultsRA-related autoantibodies as well as tender or swollen joints are not associated with ambient PM concentrations.DiscussionWhile other respiratory exposures may be associated with increased risk of RA, our data suggest that ambient PM is not associated with autoantibodies and joint signs among individuals without RA, but at increased risk of developing RA.

scholarly journals Changes in ambient temperature increase hospital outpatient visits for allergic rhinitis in Xinxiang, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jianhui Gao ◽  
Mengxue Lu ◽  
Yinzhen Sun ◽  
Jingyao Wang ◽  
Zhen An ◽  
...  
Keyword(s):  
Allergic Rhinitis ◽  
Ambient Temperature ◽  
Positive Association ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Hospital Outpatient ◽  
Distributed Lag ◽  
Outpatient Visits ◽  
Daily Data ◽  
The Relationship

Abstract Background The effect of ambient temperature on allergic rhinitis (AR) remains unclear. Accordingly, this study aimed to explore the relationship between ambient temperature and the risk of AR outpatients in Xinxiang, China. Method Daily data of outpatients for AR, meteorological conditions, and ambient air pollution in Xinxiang, China were collected from 2015 to 2018. The lag-exposure-response relationship between daily mean temperature and the number of hospital outpatient visits for AR was analyzed by distributed lag non-linear model (DLNM). Humidity, long-time trends, day of the week, public holidays, and air pollutants including sulfur dioxide (SO2), and nitrogen dioxide (NO2) were controlled as covariates simultaneously. Results A total of 14,965 AR outpatient records were collected. The relationship between ambient temperature and AR outpatients was generally M-shaped. There was a higher risk of AR outpatient when the temperature was 1.6–9.3 °C, at a lag of 0–7 days. Additionally, the positive association became significant when the temperature rose to 23.5–28.5 °C, at lag 0–3 days. The effects were strongest at the 25th (7 °C) percentile, at lag of 0–7 days (RR: 1.32, 95% confidence intervals (CI): 1.05–1.67), and at the 75th (25 °C) percentile at a lag of 0–3 days (RR: 1.15, 95% CI: 1.02–1.29), respectively. Furthermore, men were more sensitive to temperature changes than women, and the younger groups appeared to be more influenced. Conclusions Both mild cold and mild hot temperatures may significantly increase the risk of AR outpatients in Xinxiang, China. These findings could have important public health implications for the occurrence and prevention of AR.

scholarly journals Relationship between Air Pollutant Exposure and Gynecologic Cancer Risk

2021 ◽  
Vol 18 (10) ◽  
pp. 5353
Author(s):  
Qiwei Yu ◽  
Liqiang Zhang ◽  
Kun Hou ◽  
Jingwen Li ◽  
Suhong Liu ◽  
...  
Keyword(s):  
Air Pollution ◽  
Cancer Risk ◽  
Air Pollutants ◽  
Gynecological Cancer ◽  
Gynecologic Cancer ◽  
Ambient Air ◽  
Air Pollutant ◽  
Ambient Air Pollution ◽  
Short Term Exposure ◽  
Increased Risk

Exposure to air pollution has been suggested to be associated with an increased risk of women’s health disorders. However, it remains unknown to what extent changes in ambient air pollution affect gynecological cancer. In our case–control study, the logistic regression model was combined with the restricted cubic spline to examine the association of short-term exposure to air pollution with gynecological cancer events using the clinical data of 35,989 women in Beijing from December 2008 to December 2017. We assessed the women’s exposure to air pollutants using the monitor located nearest to each woman’s residence and working places, adjusting for age, occupation, ambient temperature, and ambient humidity. The adjusted odds ratios (ORs) were examined to evaluate gynecologic cancer risk in six time windows (Phase 1–Phase 6) of women’s exposure to air pollutants (PM2.5, CO, O3, and SO2) and the highest ORs were found in Phase 4 (240 days). Then, the higher adjusted ORs were found associated with the increased concentrations of each pollutant (PM2.5, CO, O3, and SO2) in Phase 4. For instance, the adjusted OR of gynecological cancer risk for a 1.0-mg m−3 increase in CO exposures was 1.010 (95% CI: 0.881–1.139) below 0.8 mg m−3, 1.032 (95% CI: 0.871–1.194) at 0.8–1.0 mg m−3, 1.059 (95% CI: 0.973–1.145) at 1.0–1.4 mg m−3, and 1.120 (95% CI: 0.993–1.246) above 1.4 mg m−3. The ORs calculated in different air pollution levels accessed us to identify the nonlinear association between women’s exposure to air pollutants (PM2.5, CO, O3, and SO2) and the gynecological cancer risk. This study supports that the gynecologic risks associated with air pollution should be considered in improved public health preventive measures and policymaking to minimize the dangerous effects of air pollution.

scholarly journals Early Pregnancy Exposure to Ambient Air Pollution among Late-Onset Preeclamptic Cases Is Associated with Placental DNA Hypomethylation of Specific Genes and Slower Placental Maturation

Toxics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 338
Author(s):  
Karin Engström ◽  
Yumjirmaa Mandakh ◽  
Lana Garmire ◽  
Zahra Masoumi ◽  
Christina Isaxon ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Air Pollution ◽  
Early Pregnancy ◽  
Late Onset ◽  
Dispersion Model ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Dna Hypomethylation ◽  
Increased Risk

Exposure to ambient air pollution during pregnancy has been associated with an increased risk of preeclampsia (PE). Some suggested mechanisms behind this association are changes in placental DNA methylation and gene expression. The objective of this study was to identify how early pregnancy exposure to ambient nitrogen oxides (NOx) among PE cases and normotensive controls influence DNA methylation (EPIC array) and gene expression (RNA-seq). The study included placentas from 111 women (29 PE cases/82 controls) in Scania, Sweden. First-trimester NOx exposure was assessed at the participants’ residence using a dispersion model and categorized via median split into high or low NOx. Placental gestational epigenetic age was derived from the DNA methylation data. We identified six differentially methylated positions (DMPs, q < 0.05) comparing controls with low NOx vs. cases with high NOx and 14 DMPs comparing cases and controls with high NOx. Placentas with female fetuses showed more DMPs (N = 309) than male-derived placentas (N = 1). Placentas from PE cases with high NOx demonstrated gestational age deceleration compared to controls with low NOx (p = 0.034). No differentially expressed genes (DEGs, q < 0.05) were found. In conclusion, early pregnancy exposure to NOx affected placental DNA methylation in PE, resulting in placental immaturity and showing sexual dimorphism.

scholarly journals Short-term effects of air pollution on blood pressure

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
You-Jung Choi ◽  
Sun-Hwa Kim ◽  
Si-Hyuck Kang ◽  
Sun-Young Kim ◽  
Ok-Jin Kim ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Air Pollution ◽  
Air Pollutants ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Pathophysiological Mechanism ◽  
Short Term ◽  
Mortality And Morbidity ◽  
Short Term Exposure ◽  
Increased Risk

AbstractElevated blood pressure (BP) has been proposed as a possible pathophysiological mechanism linking exposure to ambient air pollution and the increased risk of cardiovascular mortality and morbidity. In this study, we investigated the hourly relationship between ambient air pollutants and BP. BP measurements were extracted from the electronic health record database of the Seoul National University Bundang Hospital from February 2015 to June 2017. A total of 98,577 individual BP measurements were matched to the hourly levels of air pollutants. A generalized additive model was constructed for hour lags of 0–8 of air pollutants adjusting for age, sex, meteorological variables, and time trend. Systolic BP was shown to be significantly lower at 2–4 hours and 3–5 hours after increased levels of SO2 and CO, respectively (0.24 mmHg and 0.26 mmHg for an interquartile range, respectively). In contrast, O3 and NO2 were associated with significantly increased systolic BP at 3–5 lag hours and at 0–2 lag hours, respectively. BP elevation in association with O3 and NO2 was shown to be significantly greater in hypertensive patients than normotensive subjects. Our findings suggest that short-term exposure to air pollution may be associated with elevated BP.

Exposure to Ambient Air Pollution Associated with Increased Risk of Incident Diabetes Mellitus: A Population-Based Cohort Study

2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Lauren Paul ◽  
Rick Burnett ◽  
Jeffrey C. Kwong ◽  
Perry Hystad ◽  
Aaron van Donkelaar ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Air Pollution ◽  
Cohort Study ◽  
Ambient Air ◽  
Population Based ◽  
Ambient Air Pollution ◽  
Incident Diabetes ◽  
Increased Risk

scholarly journals The association between ambient air pollution and scarlet fever in Qingdao, China, 2014-2018: a quantitative analysis

2020 ◽  
Author(s):  
Xiaowen Hu ◽  
Tao Wei ◽  
Yalin Han ◽  
Jing Jia ◽  
Bei Pan ◽  
...  
Keyword(s):  
Air Pollution ◽  
Scarlet Fever ◽  
Mixed Model ◽  
Linear Time ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Lag Effects ◽  
Distributed Lag ◽  
Non Linear ◽  
Air Pollutions

Abstract Background: We conducted a distributed lag non-linear time series analysis to quantify the association between air pollution and scarlet fever in Qingdao city during 2014-2018. Methods: A generalized additive Mixed Model (GAMM) combined with a distributed lag non-linear model (DLNM) was applied to quantify the distributed lag effects of air pollutions on scarlet fever, with daily incidence of scarlet fever as the dependent variable and air pollutions as the independent variable adjusted for potential confounders. Results: A total of 6,316 cases of scarlet fever were notified, and there were 376 days occurring air pollution during the study period. Scarlet fever was significantly associated with air pollutions at a lag of 7 days with different RRs of air pollution degrees (1.172, 95%CI: 1.038-1.323 in mild air pollution; 1.374, 95%CI: 1.078-1.749 in moderate air pollution; 1.610, 95%CI: 1.163-2.314 in severe air pollution; 1.887, 95%CI: 1.163-3.061 in most severe air pollution). Conclusions: Our findings show that air pollution is positively associated with scarlet fever in Qingdao, and the risk of scarlet fever could be increased along with the degrees of air pollution. It contributes to developing strategies to prevent and reduce health impact from scarlet fever and other non-vaccine-preventable respiratory infectious diseases in air polluted areas.

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