Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 6 de 6
Filter
Add more filters










Database
Language
Publication year range
2.
Environ Health ; 21(1): 63, 2022 07 06.
Article in English | MEDLINE | ID: mdl-35794604

ABSTRACT

BACKGROUND: Evidence of the role of interactions between air pollution and pollen exposure in subjects with allergic asthma is limited and need further exploration to promote adequate preventive measures. The objective of this study was to assess effects of exposure to ambient air pollution and birch pollen on exacerbation of respiratory symptoms in subjects with asthma and allergy to birch. METHODS: Thirty-seven subjects from two Swedish cities (Gothenburg and Umeå) with large variation in exposure to both birch-pollen and air pollutants, participated in the study. All subjects had confirmed allergy to birch and self-reported physician-diagnosed asthma. The subjects recorded respiratory symptoms such as rhinitis or eye irritation, dry cough, dyspnoea, the use of any asthma or allergy medication and peak respiratory flow (PEF), daily for five consecutive weeks during two separate pollen seasons and a control season without pollen. Nitrogen oxides (NOx), ozone (O3), particulate matter (PM2.5), birch pollen counts, and meteorological data were obtained from an urban background monitoring stations in the study city centres. The data were analysed using linear mixed effects models. RESULTS: During pollen seasons all symptoms and medication use were higher, and PEF was reduced in the subjects. In regression analysis, exposure to pollen at lags 0 to 2 days, and lags 0 to 6 days was associated with increased ORs of symptoms and decreased RRs for PEF. Pollen and air pollution interacted in some cases; during low pollen exposure, there were no associations between air pollution and symptoms, but during high pollen exposure, O3 concentrations were associated with increased OR of rhinitis or eye irritation, and PM2.5 concentrations were associated with increased ORs of rhinitis or eye irritation, dyspnea and increased use of allergy medication. CONCLUSIONS: Pollen and air pollutants interacted to increase the effect of air pollution on respiratory symptoms in allergic asthma. Implementing the results from this study, advisories for individuals with allergic asthma could be improved, minimizing the morbidities associated with the condition.


Subject(s)
Air Pollutants , Air Pollution , Asthma , Hypersensitivity , Rhinitis, Allergic, Seasonal , Rhinitis , Air Pollutants/adverse effects , Air Pollutants/analysis , Air Pollution/adverse effects , Air Pollution/analysis , Asthma/drug therapy , Asthma/epidemiology , Betula , Humans , Particulate Matter/adverse effects , Particulate Matter/analysis , Pollen/adverse effects , Seasons , Sweden/epidemiology
3.
Article in English | MEDLINE | ID: mdl-30609753

ABSTRACT

In this study, an Air Quality Health Index (AQHI) for Stockholm is introduced as a tool to capture the combined effects associated with multi-pollutant exposure. Public information regarding the expected health risks associated with current or forecasted concentrations of pollutants and pollen can be very useful for sensitive persons when planning their outdoor activities. For interventions, it can also be important to know the contribution from pollen and the specific air pollutants, judged to cause the risk. The AQHI is based on an epidemiological analysis of asthma emergency department visits (AEDV) and urban background concentrations of NOx, O3, PM10 and birch pollen in Stockholm during 2001⁻2005. This analysis showed per 10 µg·m⁻3 increase in the mean of same day and yesterday an increase in AEDV of 0.5% (95% CI: -1.2⁻2.2), 0.3% (95% CI: -1.4⁻2.0) and 2.5% (95% CI: 0.3⁻4.8) for NOx, O3 and PM10, respectively. For birch pollen, the AEDV increased with 0.26% (95% CI: 0.18⁻0.34) for 10 pollen grains·m⁻3. In comparison with the coefficients in a meta-analysis, the mean values of the coefficients obtained in Stockholm are smaller. The mean value of the risk increase associated with PM10 is somewhat smaller than the mean value of the meta-coefficient, while for O3, it is less than one fifth of the meta-coefficient. We have not found any meta-coefficient using NOx as an indicator of AEDV, but compared to the mean value associated with NO2, our value of NOx is less than half as large. The AQHI is expressed as the predicted percentage increase in AEDV without any threshold level. When comparing the relative contribution of each pollutant to the total AQHI, based on monthly averages concentrations during the period 2015⁻2017, there is a tangible pattern. The AQHI increase associated with NOx exhibits a relatively even distribution throughout the year, but with a clear decrease during the summer months due to less traffic. O3 contributes to an increase in AQHI during the spring. For PM10, there is a significant increase during early spring associated with increased suspension of road dust. For birch pollen, there is a remarkable peak during the late spring and early summer during the flowering period. Based on monthly averages, the total AQHI during 2015⁻2017 varies between 4 and 9%, but with a peak value of almost 16% during the birch pollen season in the spring 2016. Based on daily mean values, the most important risk contribution during the study period is from PM10 with 3.1%, followed by O3 with 2.0%.


Subject(s)
Air Pollutants/adverse effects , Air Pollution/adverse effects , Asthma/etiology , Asthma/physiopathology , Dust/analysis , Particulate Matter/adverse effects , Risk Assessment/statistics & numerical data , Emergency Service, Hospital/statistics & numerical data , Humans , Seasons , Severity of Illness Index , Sweden
4.
Int J Environ Res Public Health ; 12(4): 4047-59, 2015 Apr 13.
Article in English | MEDLINE | ID: mdl-25872017

ABSTRACT

Volcanic ash contributed significantly to particulate matter (PM) in Iceland following the eruptions in Eyjafjallajökull 2010 and Grímsvötn 2011. This study aimed to investigate the association between different PM sources and emergency hospital visits for cardiorespiratory causes from 2007 to 2012. Indicators of PM10 sources; "volcanic ash", "dust storms", or "other sources" (traffic, fireworks, and re-suspension) on days when PM10 exceeded the daily air quality guideline value of 50 µg/m3 were entered into generalized additive models, adjusted for weather, time trend and co-pollutants. The average number of daily emergency hospital visits was 10.5. PM10 exceeded the air quality guideline value 115 out of 2191 days; 20 days due to volcanic ash, 14 due to dust storms (two days had both dust storm and ash contribution) and 83 due to other sources. High PM10 levels from volcanic ash tended to be significantly associated with the emergency hospital visits; estimates ranged from 4.8% (95% Confidence Interval (CI): 0.6, 9.2%) per day of exposure in unadjusted models to 7.3% (95% CI: -0.4, 15.5%) in adjusted models. Dust storms were not consistently associated with daily emergency hospital visits and other sources tended to show a negative association. We found some evidence indicating that volcanic ash particles were more harmful than particles from other sources, but the results were inconclusive and should be interpreted with caution.


Subject(s)
Air Pollutants/adverse effects , Cardiovascular Diseases/etiology , Dust , Emergency Service, Hospital/statistics & numerical data , Particulate Matter/adverse effects , Respiratory Tract Diseases/etiology , Volcanic Eruptions/adverse effects , Adult , Aged , Aged, 80 and over , Air Pollutants/analysis , Cardiovascular Diseases/epidemiology , Dust/analysis , Female , Humans , Iceland/epidemiology , Male , Middle Aged , Particulate Matter/analysis , Respiratory Tract Diseases/epidemiology , Weather
5.
Environ Health ; 12: 28, 2013 Apr 08.
Article in English | MEDLINE | ID: mdl-23566138

ABSTRACT

BACKGROUND: Air pollution exposure is associated with hospital admissions and emergency room visits for cardiopulmonary disease and stroke. Iceland's capital area, Reykjavik, has generally low air pollution levels, but traffic and natural sources contribute to pollution levels. The objective of this study was to investigate temporal associations between emergency hospital visits and air pollutants ozone (O3), nitrogen dioxide (NO2), and particulate matter (PM10) in the Icelandic capital area. METHODS: We constructed a time series of the daily number of adults who visited the emergency room, or were acutely admitted for stroke or cardiorespiratory causes to Landspitali University Hospital 1 January 2003 - 31 December 2009 from the hospital in-patient register. We used generalized additive models assuming Poisson distribution, to analyze the daily emergency hospital visits as a function of the pollutant levels, and adjusted for meteorological variables, day of week, and time trend with splines. RESULTS: Daily emergency hospital visits increased 3.9% (95% confidence interval (CI) 1.7-6.1%) per interquartile (IQR) change in average O3 the same and two previous days. For females, the increase was 7.8% (95% CI 3.6-12.1) for elderly (70+), the increase was 3.9% (95% CI 0.6-7.3%) per IQR increase of NO2. There were no associations with PM10. CONCLUSIONS: We found an increase in daily emergency hospital visits associated with O3, indicating that low-level exposure may trigger cardiopulmonary events or stroke.


Subject(s)
Air Pollutants/toxicity , Cardiovascular Diseases/epidemiology , Environmental Exposure , Hospitalization/statistics & numerical data , Respiratory Tract Diseases/epidemiology , Adult , Aged , Air Pollutants/analysis , Cardiovascular Diseases/chemically induced , Comorbidity , Emergency Service, Hospital , Environmental Monitoring , Female , Humans , Iceland/epidemiology , Incidence , Male , Middle Aged , Nitrogen Dioxide/analysis , Nitrogen Dioxide/toxicity , Ozone/analysis , Ozone/toxicity , Particulate Matter/analysis , Particulate Matter/toxicity , Poisson Distribution , Respiratory Tract Diseases/chemically induced , Seasons , Stroke/chemically induced , Stroke/epidemiology , Time Factors , Urban Health
6.
Environ Health Perspect ; 120(3): 431-6, 2012 Mar.
Article in English | MEDLINE | ID: mdl-22182596

ABSTRACT

BACKGROUND: Although serious health effects associated with particulate matter (PM) with aerodynamic diameter ≤ 10 µm (PM10) and ≤ 2.5 µm (PM(2.5); fine fraction) are documented in many studies, the effects of coarse PM (PM(2.5-10)) are still under debate. OBJECTIVE: In this study, we estimated the effects of short-term exposure of PM(2.5-10) on daily mortality in Stockholm, Sweden. METHOD: We collected data on daily mortality for the years 2000 through 2008. Concentrations of PM10, PM(2.5), ozone, and carbon monoxide were measured simultaneously in central Stockholm. We used additive Poisson regression models to examine the association between daily mortality and PM2.5-10 on the day of death and the day before. Effect estimates were adjusted for other pollutants (two-pollutant models) during different seasons. RESULTS: We estimated a 1.68% increase [95% confidence interval (CI): 0.20%, 3.15%] in daily mortality per 10-µg/m³ increase in PM(2.5-10) (single-pollutant model). The association with PM(2.5-10) was stronger for November through May, when road dust is most important (1.69% increase; 95% CI: 0.21%, 3.17%), compared with the rest of the year (1.31% increase; 95% CI: -2.08%, 4.70%), although the difference was not statistically significant. When adjusted for other pollutants, particularly PM(2.5), the effect estimates per 10 µg/m³ for PM(2.5-10) decreased slightly but were still higher than corresponding effect estimates for PM(2.5). CONCLUSIONS: Our analysis shows an increase in daily mortality associated with elevated urban background levels of PM(2.5-10). Regulation of PM(2.5-10) should be considered, along with actions to specifically reduce PM(2.5-10) emissions, especially road dust suspension, in cities.


Subject(s)
Air Pollutants/toxicity , Environmental Exposure , Mortality , Particle Size , Particulate Matter/toxicity , Carbon Monoxide/toxicity , Dust/analysis , Humans , Ozone/toxicity , Regression Analysis , Seasons , Sweden/epidemiology , Time Factors , Urban Health
SELECTION OF CITATIONS
SEARCH DETAIL
...