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.

Ambient air pollution and the hospital outpatient visits for eczema and dermatitis in Beijing: a time-stratified case-crossover analysis

2019 ◽  
Vol 21 (1) ◽  
pp. 163-173 ◽  
Author(s):  
Qun Guo ◽  
Fengchao Liang ◽  
Lin Tian ◽  
Tamara Schikowski ◽  
Wei Liu ◽  
...  
Keyword(s):  
Air Pollution ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Hospital Outpatient ◽  
Case Crossover ◽  
Outpatient Visits ◽  
Crossover Analysis ◽  
Skin Conditions

Consecutive exposure to air pollution increased risks of skin conditions.

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.

scholarly journals Air pollution and hospital admissions and deaths due to respiratory infections in megacity of Tehran: A time series analysis

2021 ◽  
Author(s):  
Zahra Namvar ◽  
Mostafa Hadei ◽  
Seyed Saeed Hashemi ◽  
Elahe Shahhosseini ◽  
Philip K. Hopke ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Pollutants ◽  
Hospital Admissions ◽  
Respiratory Infections ◽  
Positive Association ◽  
Ambient Air ◽  
Age Group ◽  
Distributed Lag ◽  
Ambient Air Pollutants ◽  
Short Term Exposure

Introduction: Air pollution is one of the main causes for the significant increase of respiratory infections in Tehran. In the present study, we investigated the associations between short-term exposure to ambient air pollutants with the hospital admissions and deaths. Materials and methods: Health data from 39915 hospital admissions and 2459 registered deaths associated with these hospital admissions for respiratory infections were obtained from the Ministry of Health and Medical Education during 2014-2017. We used the distributed lag non-linear model (DLNM) for the analyses. Results: There was a statistically positive association between PM2.5 and AURI in the age group of 16 years and younger at lags 6 (RR 1.31; 1.05-1.64) and 7 (RR 1.50; 1.09-2.06). AURI admissions was associated with O3 in the age group of 16 and 65 years at lag 7 with RR 1.13 (1.00-1.27). ALRI admissions was associated with CO in the age group of 65 years and older at lag 0 with RR 1.12 (1.02-1.23). PM10 was associated with ALRI daily hospital admissions at lag 0 for males. ALRI admissions were associated with NO2 for females at lag 0. There was a positive association between ALRI deaths and SO2 in the age group of 65 years and older at lags 4 and 5 with RR 1.04 (1.00-1.09) and 1.03 (1.00-1.07), respectively. Conclusion: Exposure to outdoor air pollutants including PM10, PM2.5, SO2, NO2, O3, and CO was associated with hospital admissions for AURI and ALRI at different lags. Moreover, exposure to SO2 was associated with deaths for ALRI.

scholarly journals Association between temperature and back pain among lumbar disc herniation patients

2020 ◽  
Author(s):  
Cai Chen ◽  
Dandan Wang ◽  
Fanjie Liu ◽  
Hao Qin ◽  
Xiyuan Li ◽  
...  
Keyword(s):  
Back Pain ◽  
Ambient Temperature ◽  
Lumbar Disc Herniation ◽  
Disc Herniation ◽  
Linear Models ◽  
Lumbar Disc ◽  
Average Temperature ◽  
Distributed Lag ◽  
And Gender ◽  
The Relationship

AbstractPurposeThis paper was designed to critically provide empirical evidence for the relationship between temperature and intensity of back pain among people with lumbar disc herniation (LDH).MethodsDistributed lag linear and non-linear models (DLNM) was used to evaluate the relationship between lag-response and exposure to ambient temperature. Stratification was based on age and gender.ResultsWhen daily average temperature was on the rage of 15-23□, the risk of hospitalization was at the lowest level for men group. About below 10□, risk for male hospitalization could keep increase when lag day were during lag0-lag5 and lag20-lag28. 40<age≤50 group was little affected when they exposed to ambient temperature.

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 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.

Sign in / Sign up

Export Citation Format

Share Document