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Short-Term Effect of Pollen and Spore Exposure on Allergy Morbidity in the Brussels-Capital Region

Identifieur interne : 000321 ( Ncbi/Merge ); précédent : 000320; suivant : 000322

Short-Term Effect of Pollen and Spore Exposure on Allergy Morbidity in the Brussels-Capital Region

Auteurs : Ariane Guilbert [Belgique] ; Koen Simons [Belgique] ; Lucie Hoebeke [Belgique] ; Ann Packeu [Belgique] ; Marijke Hendrickx [Belgique] ; Koen De Cremer [Belgique] ; Ronald Buyl [Belgique] ; Danny Coomans [Belgique] ; An Van Nieuwenhuyse [Belgique]

Source :

RBID : PMC:4996865

Abstract

Belgium is among the European countries that are the most affected by allergic rhinitis. Pollen grains and fungal spores represent important triggers of symptoms. However, few studies have investigated their real link with disease morbidity over several years. Based on aeroallergen counts and health insurance datasets, the relationship between daily changes in pollen, fungal spore concentrations and daily changes in reimbursable systemic antihistamine sales has been investigated between 2005 and 2011 in the Brussels-Capital Region. A Generalized Linear Model was used and adjusted for air pollution, meteorological conditions, flu, seasonal component and day of the week. We observed an augmentation in drug sales despite no significant increase in allergen levels in the long term. The relative risk of buying allergy medications associated with an interquartile augmentation in pollen distributions increased significantly for Poaceae, Betula, Carpinus, Fraxinus and Quercus. Poaceae affected the widest age group and led to the highest increase of risk which reached 1.13 (95% CI [1.11–1.14]) among the 19- to 39-year-old men. Betula showed the second most consistent relationship across age groups. Clear identification of the provoking agents may improve disease management by customizing prevention programmes. This work also opens several research perspectives related to impact of climate modification or subpopulation sensitivity.


Url:
DOI: 10.1007/s10393-016-1124-x
PubMed: 27174430
PubMed Central: 4996865

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PMC:4996865

Le document en format XML

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<p>Belgium is among the European countries that are the most affected by allergic rhinitis. Pollen grains and fungal spores represent important triggers of symptoms. However, few studies have investigated their real link with disease morbidity over several years. Based on aeroallergen counts and health insurance datasets, the relationship between daily changes in pollen, fungal spore concentrations and daily changes in reimbursable systemic antihistamine sales has been investigated between 2005 and 2011 in the Brussels-Capital Region. A Generalized Linear Model was used and adjusted for air pollution, meteorological conditions, flu, seasonal component and day of the week. We observed an augmentation in drug sales despite no significant increase in allergen levels in the long term. The relative risk of buying allergy medications associated with an interquartile augmentation in pollen distributions increased significantly for Poaceae,
<italic>Betula</italic>
,
<italic>Carpinus</italic>
,
<italic>Fraxinus</italic>
and
<italic>Quercus</italic>
. Poaceae affected the widest age group and led to the highest increase of risk which reached 1.13 (95% CI [1.11–1.14]) among the 19- to 39-year-old men.
<italic>Betula</italic>
showed the second most consistent relationship across age groups. Clear identification of the provoking agents may improve disease management by customizing prevention programmes. This work also opens several research perspectives related to impact of climate modification or subpopulation sensitivity.</p>
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<name sortKey="De Cremer, Koen" sort="De Cremer, Koen" uniqKey="De Cremer K" first="Koen" last="De Cremer">Koen De Cremer</name>
<affiliation wicri:level="3">
<nlm:aff id="Aff1">Health and Environment Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050 Brussels, Belgium</nlm:aff>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Health and Environment Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050 Brussels</wicri:regionArea>
<placeName>
<region type="land" nuts="2">Vienne (Autriche)</region>
<settlement type="city">Vienne (Autriche)</settlement>
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</affiliation>
</author>
<author>
<name sortKey="Buyl, Ronald" sort="Buyl, Ronald" uniqKey="Buyl R" first="Ronald" last="Buyl">Ronald Buyl</name>
<affiliation wicri:level="3">
<nlm:aff id="Aff3">Department of Biostatistics and Medical Informatics - Public Health, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium</nlm:aff>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Department of Biostatistics and Medical Informatics - Public Health, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels</wicri:regionArea>
<placeName>
<region type="land" nuts="2">Vienne (Autriche)</region>
<settlement type="city">Vienne (Autriche)</settlement>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Coomans, Danny" sort="Coomans, Danny" uniqKey="Coomans D" first="Danny" last="Coomans">Danny Coomans</name>
<affiliation wicri:level="3">
<nlm:aff id="Aff3">Department of Biostatistics and Medical Informatics - Public Health, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium</nlm:aff>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Department of Biostatistics and Medical Informatics - Public Health, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels</wicri:regionArea>
<placeName>
<region type="land" nuts="2">Vienne (Autriche)</region>
<settlement type="city">Vienne (Autriche)</settlement>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Van Nieuwenhuyse, An" sort="Van Nieuwenhuyse, An" uniqKey="Van Nieuwenhuyse A" first="An" last="Van Nieuwenhuyse">An Van Nieuwenhuyse</name>
<affiliation wicri:level="3">
<nlm:aff id="Aff1">Health and Environment Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050 Brussels, Belgium</nlm:aff>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Health and Environment Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050 Brussels</wicri:regionArea>
<placeName>
<region type="land" nuts="2">Vienne (Autriche)</region>
<settlement type="city">Vienne (Autriche)</settlement>
</placeName>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Ecohealth</title>
<idno type="ISSN">1612-9202</idno>
<idno type="eISSN">1612-9210</idno>
<imprint>
<date when="2016">2016</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>Belgium is among the European countries that are the most affected by allergic rhinitis. Pollen grains and fungal spores represent important triggers of symptoms. However, few studies have investigated their real link with disease morbidity over several years. Based on aeroallergen counts and health insurance datasets, the relationship between daily changes in pollen, fungal spore concentrations and daily changes in reimbursable systemic antihistamine sales has been investigated between 2005 and 2011 in the Brussels-Capital Region. A Generalized Linear Model was used and adjusted for air pollution, meteorological conditions, flu, seasonal component and day of the week. We observed an augmentation in drug sales despite no significant increase in allergen levels in the long term. The relative risk of buying allergy medications associated with an interquartile augmentation in pollen distributions increased significantly for Poaceae,
<italic>Betula</italic>
,
<italic>Carpinus</italic>
,
<italic>Fraxinus</italic>
and
<italic>Quercus</italic>
. Poaceae affected the widest age group and led to the highest increase of risk which reached 1.13 (95% CI [1.11–1.14]) among the 19- to 39-year-old men.
<italic>Betula</italic>
showed the second most consistent relationship across age groups. Clear identification of the provoking agents may improve disease management by customizing prevention programmes. This work also opens several research perspectives related to impact of climate modification or subpopulation sensitivity.</p>
</div>
</front>
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<name sortKey="De Cremer, Koen" sort="De Cremer, Koen" uniqKey="De Cremer K" first="Koen" last="De Cremer">Koen De Cremer</name>
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<nlm:affiliation>Health and Environment Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050, Brussels, Belgium.</nlm:affiliation>
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<name sortKey="Buyl, Ronald" sort="Buyl, Ronald" uniqKey="Buyl R" first="Ronald" last="Buyl">Ronald Buyl</name>
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<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Department of Biostatistics and Medical Informatics - Public Health, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels</wicri:regionArea>
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<settlement type="city">Bruxelles</settlement>
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<name sortKey="Coomans, Danny" sort="Coomans, Danny" uniqKey="Coomans D" first="Danny" last="Coomans">Danny Coomans</name>
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<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Department of Biostatistics and Medical Informatics - Public Health, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels</wicri:regionArea>
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<settlement type="city">Bruxelles</settlement>
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<name sortKey="Van Nieuwenhuyse, An" sort="Van Nieuwenhuyse, An" uniqKey="Van Nieuwenhuyse A" first="An" last="Van Nieuwenhuyse">An Van Nieuwenhuyse</name>
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<title xml:lang="en">Short-Term Effect of Pollen and Spore Exposure on Allergy Morbidity in the Brussels-Capital Region.</title>
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<name sortKey="Guilbert, Ariane" sort="Guilbert, Ariane" uniqKey="Guilbert A" first="Ariane" last="Guilbert">Ariane Guilbert</name>
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<nlm:affiliation>Health and Environment Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050, Brussels, Belgium. ariane.guilbert@wiv-isp.be.</nlm:affiliation>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Health and Environment Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050, Brussels</wicri:regionArea>
<placeName>
<settlement type="city">Bruxelles</settlement>
<region nuts="2">Région de Bruxelles-Capitale</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Simons, Koen" sort="Simons, Koen" uniqKey="Simons K" first="Koen" last="Simons">Koen Simons</name>
<affiliation wicri:level="3">
<nlm:affiliation>Health and Environment Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050, Brussels, Belgium.</nlm:affiliation>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Health and Environment Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050, Brussels</wicri:regionArea>
<placeName>
<settlement type="city">Bruxelles</settlement>
<region nuts="2">Région de Bruxelles-Capitale</region>
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</author>
<author>
<name sortKey="Hoebeke, Lucie" sort="Hoebeke, Lucie" uniqKey="Hoebeke L" first="Lucie" last="Hoebeke">Lucie Hoebeke</name>
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<nlm:affiliation>Mycology and Aerobiology Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050, Brussels, Belgium.</nlm:affiliation>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Mycology and Aerobiology Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050, Brussels</wicri:regionArea>
<placeName>
<settlement type="city">Bruxelles</settlement>
<region nuts="2">Région de Bruxelles-Capitale</region>
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</author>
<author>
<name sortKey="Packeu, Ann" sort="Packeu, Ann" uniqKey="Packeu A" first="Ann" last="Packeu">Ann Packeu</name>
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<nlm:affiliation>Mycology and Aerobiology Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050, Brussels, Belgium.</nlm:affiliation>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Mycology and Aerobiology Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050, Brussels</wicri:regionArea>
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<settlement type="city">Bruxelles</settlement>
<region nuts="2">Région de Bruxelles-Capitale</region>
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</author>
<author>
<name sortKey="Hendrickx, Marijke" sort="Hendrickx, Marijke" uniqKey="Hendrickx M" first="Marijke" last="Hendrickx">Marijke Hendrickx</name>
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<nlm:affiliation>Mycology and Aerobiology Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050, Brussels, Belgium.</nlm:affiliation>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Mycology and Aerobiology Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050, Brussels</wicri:regionArea>
<placeName>
<settlement type="city">Bruxelles</settlement>
<region nuts="2">Région de Bruxelles-Capitale</region>
</placeName>
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</author>
<author>
<name sortKey="De Cremer, Koen" sort="De Cremer, Koen" uniqKey="De Cremer K" first="Koen" last="De Cremer">Koen De Cremer</name>
<affiliation wicri:level="3">
<nlm:affiliation>Health and Environment Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050, Brussels, Belgium.</nlm:affiliation>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Health and Environment Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050, Brussels</wicri:regionArea>
<placeName>
<settlement type="city">Bruxelles</settlement>
<region nuts="2">Région de Bruxelles-Capitale</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Buyl, Ronald" sort="Buyl, Ronald" uniqKey="Buyl R" first="Ronald" last="Buyl">Ronald Buyl</name>
<affiliation wicri:level="3">
<nlm:affiliation>Department of Biostatistics and Medical Informatics - Public Health, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium.</nlm:affiliation>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Department of Biostatistics and Medical Informatics - Public Health, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels</wicri:regionArea>
<placeName>
<settlement type="city">Bruxelles</settlement>
<region nuts="2">Région de Bruxelles-Capitale</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Coomans, Danny" sort="Coomans, Danny" uniqKey="Coomans D" first="Danny" last="Coomans">Danny Coomans</name>
<affiliation wicri:level="3">
<nlm:affiliation>Department of Biostatistics and Medical Informatics - Public Health, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium.</nlm:affiliation>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Department of Biostatistics and Medical Informatics - Public Health, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels</wicri:regionArea>
<placeName>
<settlement type="city">Bruxelles</settlement>
<region nuts="2">Région de Bruxelles-Capitale</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Van Nieuwenhuyse, An" sort="Van Nieuwenhuyse, An" uniqKey="Van Nieuwenhuyse A" first="An" last="Van Nieuwenhuyse">An Van Nieuwenhuyse</name>
<affiliation wicri:level="3">
<nlm:affiliation>Health and Environment Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050, Brussels, Belgium.</nlm:affiliation>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Health and Environment Unit, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050, Brussels</wicri:regionArea>
<placeName>
<settlement type="city">Bruxelles</settlement>
<region nuts="2">Région de Bruxelles-Capitale</region>
</placeName>
</affiliation>
</author>
</analytic>
<series>
<title level="j">EcoHealth</title>
<idno type="eISSN">1612-9210</idno>
<imprint>
<date when="2016" type="published">2016</date>
</imprint>
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<front>
<div type="abstract" xml:lang="en">Belgium is among the European countries that are the most affected by allergic rhinitis. Pollen grains and fungal spores represent important triggers of symptoms. However, few studies have investigated their real link with disease morbidity over several years. Based on aeroallergen counts and health insurance datasets, the relationship between daily changes in pollen, fungal spore concentrations and daily changes in reimbursable systemic antihistamine sales has been investigated between 2005 and 2011 in the Brussels-Capital Region. A Generalized Linear Model was used and adjusted for air pollution, meteorological conditions, flu, seasonal component and day of the week. We observed an augmentation in drug sales despite no significant increase in allergen levels in the long term. The relative risk of buying allergy medications associated with an interquartile augmentation in pollen distributions increased significantly for Poaceae, Betula, Carpinus, Fraxinus and Quercus. Poaceae affected the widest age group and led to the highest increase of risk which reached 1.13 (95% CI [1.11-1.14]) among the 19- to 39-year-old men. Betula showed the second most consistent relationship across age groups. Clear identification of the provoking agents may improve disease management by customizing prevention programmes. This work also opens several research perspectives related to impact of climate modification or subpopulation sensitivity.</div>
</front>
</TEI>
</pubmed>
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