scholarly journals Vaccinations, infections and antibacterials in the first grass pollen season of life and risk of later hayfever

2007 ◽  
Vol 37 (4) ◽  
pp. 512-517 ◽  
Author(s):  
S. A. Bremner ◽  
I. M. Carey ◽  
S. DeWilde ◽  
N. Richards ◽  
W. C. Maier ◽  
...  
2008 ◽  
Vol 1 (1) ◽  
pp. 19-25 ◽  
Author(s):  
Monique A.J. Mets ◽  
Edmund R. Volkerts ◽  
Erwin A. Dunnebier ◽  
Lieke M. de Senerpont Domis ◽  
Berend Olivier ◽  
...  

Objective: The objective of this study was to compare driving ability, memory, and psychomotor performance during grass pollen season with winter season in untreated patients with SAR. Methods: Patients with SAR were trained and tested during the grass pollen season (summer) and winter. An on-the-road driving test during normal traffic conditions was performed. Primary parameter is the Standard Deviation of Lateral Position (SDLP), i.e. the weaving of the car. In addition, a word learning test and continuous performance test were performed and quality of life was assessed. Patients were included if in winter the Total 5-Symptoms Score (T5SS) was < 3 and in summer the T5SS was > 3. Results: 70 patients were recruited of which 22 started the study. Fifteen patients completed the study of which 11 met the inclusion criteria. These 11 patients had a mean T5SS of 6.8 in summer and 0.6 in winter. Patient reported a significantly reduced overall quality of life during grass pollen season (p<0.0001). No significant effects were found on the driving test, except a significant (but not relevant) decrease in mean speed during the grass pollen season (p<0.035). No significant effects were found on the word learning test and continuous performance test. Conclusion: Our data suggest that moderate SAR symptoms do not impair driving ability, memory functioning and continuous performance. However, given the small sample size future studies should confirm these findings.


Grana ◽  
1990 ◽  
Vol 29 (1) ◽  
pp. 79-86 ◽  
Author(s):  
M. N. B. M. Driessen ◽  
R. M. A. van Herpen ◽  
L. O. M. J. Smithuis

2018 ◽  
Vol 121 (5) ◽  
pp. S25
Author(s):  
M. Goldstein ◽  
C. Freeman ◽  
N. Belecanech ◽  
L. Belecanech ◽  
D. Dvorin

1999 ◽  
Vol 104 (3) ◽  
pp. 711-712 ◽  
Author(s):  
José L. Subiza ◽  
Javier Subiza ◽  
María C. Barjau ◽  
Rosa Rodríguez ◽  
María J. Gavilán

2012 ◽  
Vol 59 (1) ◽  
pp. 529-538 ◽  
Author(s):  
Krystyna Piotrowska

The measurements of pollen fall were carried out in Lublin in 1995 - 2000 years by the gravimetric method. The modified Durham sampler was applied, located at 9 m above ground level. On the base of results 6 year observations - the pollen calendar for Lublin was prepared. The following 15 plant taxa were taken under consideration: <i>Alnus</i>, <i>Corylus</i>, Cupressaceae, <i>Populus</i>, <i>Fraxinus</i>, <i>Betula</i>, <i>Quercus</i>, Pinaceae, Poaceae, <i>Rumex</i>, <i>Plantago</i>, <i>Urtica</i>, Chenopodiaceae, <i>Artemisia</i> and <i>Ambrosia</i>. The anemophilous plants' pollen season in Lublin began in half of February and lasted till half of September. First appeared pollen grains of decidous tress' and shrubs, then the coniferous. High values of pollen fall of these plants were noted till the end of May. Start of grass pollen season was recorded from the half of May, and at the latter part of this month, also other herbaceous plants. The highest concentrations of pollen were found in April and May when trees and shrubs pollinated. The highest annual totals were marked for plants of the following taxa: <i>Betula</i>, Poaceae, Pinaceae, <i>Alnus</i>, <i>Urtica</i>.


2012 ◽  
Vol 63 (2) ◽  
pp. 85-96 ◽  
Author(s):  
Dorota Myszkowska

The aim of the study was to analyse the grass pollen season dynamics in Cracow in 1991-2008 and to find the relationship between the meteorological conditions and season parameters. The pollen season started on average on the 138th day of the year (±10 days) and ended on the 211th day (±10 days). The median of the SPI value (calculated by the 95/90% method) was 2041, peak concentration - 111 pgm<sup>-3</sup> (achieved on average on the 34th day of the season/173th day of the year). The average temperature in April-May showed the greatest effect on the start and end of the season (negative correlation). T<sub>mean</sub> of the third decade of June influenced the season end (rs negative). T<sub>mean</sub> of April-May correlated negatively with the time of peak concentration. Rainfall in January and April influenced the season start. Relative sunshine in March-April was related to the season start, in the third decade of June it was related to the season end (negative correlation), in March-April it influenced the time of peak concentration (positive correlation), while in January-March the peak concentration (positively). Cloudiness in February-May and also in the third decade of June had an impact on the season end and time of peak concentration (positive correlation). Humidity in February influenced the season start (negatively). The SPI value was influenced by relative sunshine (positively) in February-May, by humidity in April, and cloudiness in February-March (negatively).


2020 ◽  
Vol 13 (10) ◽  
pp. 100465
Author(s):  
Igor Kaidashev ◽  
Halyna Morokhovets ◽  
Viktoriia Rodinkova ◽  
Lawrence DuBuske ◽  
Jean Bousquet

2016 ◽  
Vol 566-567 ◽  
pp. 1614-1620 ◽  
Author(s):  
Maximilian Kmenta ◽  
Katharina Bastl ◽  
Matthias F. Kramer ◽  
Simon J. Hewings ◽  
Juliet Mwange ◽  
...  

Thorax ◽  
1996 ◽  
Vol 51 (6) ◽  
pp. 575-581 ◽  
Author(s):  
R Djukanovic ◽  
I Feather ◽  
C Gratziou ◽  
A Walls ◽  
D Peroni ◽  
...  

2021 ◽  
Author(s):  
Anja Simčič ◽  
Andreja Kofol Seliger ◽  
Tom Koritnik ◽  
Tanja Cegnar

&lt;p&gt;&lt;em&gt;Background: &lt;/em&gt;Pollen information is crucial for effective preventive behaviour of pollen allergy sufferers. In addition to the results of pollen monitoring and weather conditions, feedback from allergic people plays an important role in generating information for the public. A useful tool that gives us an insight into the burden of pollen allergy is the patient&amp;#8217;s hay fever diary (PHD), developed by the Vienna Medical University. PHD is freely available online, users enter their location, general well-being, pollen symptoms and medication use.&lt;/p&gt;&lt;p&gt;&lt;em&gt;Methods: &lt;/em&gt;This study is based on two databases: 1- PHD data for symptom load index (SLI) calculations, only daily entries from Slovenia were used; 2- National pollen database for three measuring stations: Ljubljana, Maribor and Izola. A five-year period (2014-2018) was analysed. We reviewed the number of monthly entries as an indicator of the time span when most people need pollen information. The focus was on three high allergenic pollen types; birch (Betula), grass (Poaceae) and ragweed (Ambrosia). Annual pollen load (APL) allows us to compare results between years.&lt;/p&gt;&lt;p&gt;&lt;em&gt;Results:&lt;/em&gt; 60 % of yearly entries were recorded from March to May, when users reported the most problems with pollen-induced symptoms. In parallel the monthly pollen totals were high. Birch pollen season typically occurs from late March to end of April with May marked by grass pollen season. The highest SLI values were calculated for birch pollen (4,79 &amp;#8211; 7,68), with the maximum in the year 2016 when the highest APL was also recorded. SLI for grass pollen season varied from 3,92 to 4,80 and is mostly lower than SLI for birch. SLI slowly decreased after May and rose again in August and September, when ragweed pollen occurs. Results for this non-native species show that SLI was increasing from 2,48 (2014) to 4,55 (2018).&lt;/p&gt;&lt;p&gt;&lt;em&gt;Conclusion:&lt;/em&gt; Pollen information is most sought after in the spring, when the highest daily concentrations are recorded. Birch pollen seems to have the highest impact on allergy sufferers, followed by grasses. In the case of ragweed we have noticed that the impact on health was increasing during the analyzed period. A comparison of the calculated SLI with the level of exposure to different pollen types may explain the fluctuations in the occurrence of allergic disease during the course of pollen seasons. Preventive behaviour of allergic persons is only possible with quick and accurate pollen information. Therefore, we started releasing preliminary results with a three-color scale to keep the public informed about the current state of allergens in the atmosphere. &amp;#160;&lt;/p&gt;


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