REFINING OF ASTHMA PREVALENCE SPATIAL DISTRIBUTION AND VISUALIZATION OF OUTDOOR ENVIRONMENT FACTORS USING GIS AND ITS APPLICATION FOR IDENTIFICATION OF MUTUAL ASSOCIATIONS.
Identifieur interne : 001B67 ( Main/Exploration ); précédent : 001B66; suivant : 001B68REFINING OF ASTHMA PREVALENCE SPATIAL DISTRIBUTION AND VISUALIZATION OF OUTDOOR ENVIRONMENT FACTORS USING GIS AND ITS APPLICATION FOR IDENTIFICATION OF MUTUAL ASSOCIATIONS.
Auteurs : Pavla Škarková ; Radek Kadlubiec ; Michal Fischer ; Jana Krat Nová ; Miloš Zapletal ; Ji I VrubelSource :
- Central European journal of public health [ 1210-7778 ] ; 2015.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Analyse spatiale (MeSH), Asthme (épidémiologie), Caractéristiques de l'habitat (MeSH), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Environnement (MeSH), Femelle (MeSH), Humains (MeSH), Modèles linéaires (MeSH), Mâle (MeSH), Polluants atmosphériques (analyse), Pollution de l'air (analyse), Prévalence (MeSH), République tchèque (épidémiologie), Systèmes d'information géographique (MeSH).
- MESH :
- analyse : Polluants atmosphériques, Pollution de l'air.
- épidémiologie : Asthme, République tchèque.
- Adolescent, Analyse spatiale, Caractéristiques de l'habitat, Enfant, Enfant d'âge préscolaire, Environnement, Femelle, Humains, Modèles linéaires, Mâle, Prévalence, Systèmes d'information géographique.
- Wicri :
- geographic : République tchèque.
English descriptors
- KwdEn :
- Adolescent (MeSH), Air Pollutants (analysis), Air Pollution (analysis), Asthma (epidemiology), Child (MeSH), Child, Preschool (MeSH), Czech Republic (epidemiology), Environment (MeSH), Female (MeSH), Geographic Information Systems (MeSH), Humans (MeSH), Linear Models (MeSH), Male (MeSH), Prevalence (MeSH), Residence Characteristics (MeSH), Spatial Analysis (MeSH).
- MESH :
- chemical , analysis : Air Pollutants.
- geographic , epidemiology : Czech Republic.
- analysis : Air Pollution.
- epidemiology : Asthma.
- Adolescent, Child, Child, Preschool, Environment, Female, Geographic Information Systems, Humans, Linear Models, Male, Prevalence, Residence Characteristics, Spatial Analysis.
Abstract
AIM
This study presents a procedure of complex assessment of the environment impact on asthma prevalence. This approach is also applicable for any other disease which is supposed to be associated with the quality of the outdoor environment.
METHODS
The input data included asthma prevalence values from the National Institute of Public Health (NIPH) cross-section questionnaire survey (13,456 children) and annual reports on activities of all paediatricians in the Czech Republic (2,072 surgeries); concentrations of PM10, PM2.5, NO2, SO2, O3, benzene, benzo(a)pyrene, As, Cd, Pb and Ni; emissions of total suspended particles, SO2, NOx, CO, VOC, NH3; traffic intensity; land cover (anthropogenic area, urban greenery, arable land, grassland, other agricultural land, forests); proportion of cultivation of individual agricultural crops (17 categories); and proportion of individual woods (15 categories). Using the Geographical Information Systems (GIS) analysis the integration of all source data through one spatial unit was achieved and complete data sets were compiled to be subjected to statistical analysis (combination of factor analysis with logistic/linear regression).
RESULTS
In this study, the approach of combined use of GIS analyses and statistical evaluation of large input data sets was tested. The asthma prevalence demonstrated positive associations with the air pollution (PM10, PM2.5, benzene, benzo(a)pyren, SO2, Pb, Cd) and the rate of agricultural use of land (growing oats, rye, arable fodder crops). Conversely, there was a negative association with the occurrence of natural forests (ash, poplar, fir, beech, spruce, pine). No significant associations were observed with the distance from the road, traffic intensity and NO2 concentration.
CONCLUSIONS
These findings suggest that the outdoor quality may be one of the crucial factors for asthma prevalence.
DOI: 10.21101/cejph.a4193
PubMed: 26615660
Affiliations:
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sortKey="Vrubel, Ji I" sort="Vrubel, Ji I" uniqKey="Vrubel J" first="Ji I" last="Vrubel">Ji I Vrubel</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="RBID">pubmed:26615660</idno><idno type="pmid">26615660</idno><idno type="doi">10.21101/cejph.a4193</idno><idno type="wicri:Area/Main/Corpus">001A14</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">001A14</idno><idno type="wicri:Area/Main/Curation">001A14</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">001A14</idno><idno type="wicri:Area/Main/Exploration">001A14</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">REFINING OF ASTHMA PREVALENCE SPATIAL DISTRIBUTION AND VISUALIZATION OF OUTDOOR ENVIRONMENT FACTORS USING GIS AND ITS APPLICATION FOR IDENTIFICATION OF MUTUAL ASSOCIATIONS.</title><author><name sortKey="Skarkova, Pavla" sort="Skarkova, Pavla" uniqKey="Skarkova P" first="Pavla" last="Škarková">Pavla Škarková</name></author><author><name sortKey="Kadlubiec, Radek" sort="Kadlubiec, Radek" uniqKey="Kadlubiec R" first="Radek" last="Kadlubiec">Radek Kadlubiec</name></author><author><name sortKey="Fischer, Michal" sort="Fischer, Michal" uniqKey="Fischer M" first="Michal" last="Fischer">Michal Fischer</name></author><author><name sortKey="Krat Nova, Jana" sort="Krat Nova, Jana" uniqKey="Krat Nova J" first="Jana" last="Krat Nová">Jana Krat Nová</name></author><author><name sortKey="Zapletal, Milos" sort="Zapletal, Milos" uniqKey="Zapletal M" first="Miloš" last="Zapletal">Miloš Zapletal</name></author><author><name sortKey="Vrubel, Ji I" sort="Vrubel, Ji I" uniqKey="Vrubel J" first="Ji I" last="Vrubel">Ji I Vrubel</name></author></analytic><series><title level="j">Central European journal of public health</title><idno type="ISSN">1210-7778</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term><term>Air Pollutants (analysis)</term><term>Air Pollution (analysis)</term><term>Asthma (epidemiology)</term><term>Child (MeSH)</term><term>Child, Preschool (MeSH)</term><term>Czech Republic (epidemiology)</term><term>Environment (MeSH)</term><term>Female (MeSH)</term><term>Geographic Information Systems (MeSH)</term><term>Humans (MeSH)</term><term>Linear Models (MeSH)</term><term>Male (MeSH)</term><term>Prevalence (MeSH)</term><term>Residence Characteristics (MeSH)</term><term>Spatial Analysis (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term><term>Analyse spatiale (MeSH)</term><term>Asthme (épidémiologie)</term><term>Caractéristiques de l'habitat (MeSH)</term><term>Enfant (MeSH)</term><term>Enfant d'âge préscolaire (MeSH)</term><term>Environnement (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Modèles linéaires (MeSH)</term><term>Mâle (MeSH)</term><term>Polluants atmosphériques (analyse)</term><term>Pollution de l'air (analyse)</term><term>Prévalence (MeSH)</term><term>République tchèque (épidémiologie)</term><term>Systèmes d'information géographique (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Air Pollutants</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Czech Republic</term></keywords><keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Polluants atmosphériques</term><term>Pollution de l'air</term></keywords><keywords scheme="MESH" qualifier="analysis" xml:lang="en"><term>Air Pollution</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Asthma</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Asthme</term><term>République tchèque</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Child</term><term>Child, Preschool</term><term>Environment</term><term>Female</term><term>Geographic Information Systems</term><term>Humans</term><term>Linear Models</term><term>Male</term><term>Prevalence</term><term>Residence Characteristics</term><term>Spatial Analysis</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Analyse spatiale</term><term>Caractéristiques de l'habitat</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Environnement</term><term>Femelle</term><term>Humains</term><term>Modèles linéaires</term><term>Mâle</term><term>Prévalence</term><term>Systèmes d'information géographique</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République tchèque</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>AIM</b></p><p>This study presents a procedure of complex assessment of the environment impact on asthma prevalence. This approach is also applicable for any other disease which is supposed to be associated with the quality of the outdoor environment.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>The input data included asthma prevalence values from the National Institute of Public Health (NIPH) cross-section questionnaire survey (13,456 children) and annual reports on activities of all paediatricians in the Czech Republic (2,072 surgeries); concentrations of PM10, PM2.5, NO2, SO2, O3, benzene, benzo(a)pyrene, As, Cd, Pb and Ni; emissions of total suspended particles, SO2, NOx, CO, VOC, NH3; traffic intensity; land cover (anthropogenic area, urban greenery, arable land, grassland, other agricultural land, forests); proportion of cultivation of individual agricultural crops (17 categories); and proportion of individual woods (15 categories). Using the Geographical Information Systems (GIS) analysis the integration of all source data through one spatial unit was achieved and complete data sets were compiled to be subjected to statistical analysis (combination of factor analysis with logistic/linear regression).</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>In this study, the approach of combined use of GIS analyses and statistical evaluation of large input data sets was tested. The asthma prevalence demonstrated positive associations with the air pollution (PM10, PM2.5, benzene, benzo(a)pyren, SO2, Pb, Cd) and the rate of agricultural use of land (growing oats, rye, arable fodder crops). Conversely, there was a negative association with the occurrence of natural forests (ash, poplar, fir, beech, spruce, pine). No significant associations were observed with the distance from the road, traffic intensity and NO2 concentration.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>These findings suggest that the outdoor quality may be one of the crucial factors for asthma prevalence.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26615660</PMID><DateCompleted><Year>2015</Year><Month>12</Month><Day>24</Day></DateCompleted><DateRevised><Year>2015</Year><Month>11</Month><Day>30</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1210-7778</ISSN><JournalIssue CitedMedium="Print"><Volume>23</Volume><Issue>3</Issue><PubDate><Year>2015</Year><Month>Sep</Month></PubDate></JournalIssue><Title>Central European journal of public health</Title><ISOAbbreviation>Cent Eur J Public Health</ISOAbbreviation></Journal><ArticleTitle>REFINING OF ASTHMA PREVALENCE SPATIAL DISTRIBUTION AND VISUALIZATION OF OUTDOOR ENVIRONMENT FACTORS USING GIS AND ITS APPLICATION FOR IDENTIFICATION OF MUTUAL ASSOCIATIONS.</ArticleTitle><Pagination><MedlinePgn>258-66</MedlinePgn></Pagination><Abstract><AbstractText Label="AIM" NlmCategory="OBJECTIVE">This study presents a procedure of complex assessment of the environment impact on asthma prevalence. This approach is also applicable for any other disease which is supposed to be associated with the quality of the outdoor environment.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">The input data included asthma prevalence values from the National Institute of Public Health (NIPH) cross-section questionnaire survey (13,456 children) and annual reports on activities of all paediatricians in the Czech Republic (2,072 surgeries); concentrations of PM10, PM2.5, NO2, SO2, O3, benzene, benzo(a)pyrene, As, Cd, Pb and Ni; emissions of total suspended particles, SO2, NOx, CO, VOC, NH3; traffic intensity; land cover (anthropogenic area, urban greenery, arable land, grassland, other agricultural land, forests); proportion of cultivation of individual agricultural crops (17 categories); and proportion of individual woods (15 categories). Using the Geographical Information Systems (GIS) analysis the integration of all source data through one spatial unit was achieved and complete data sets were compiled to be subjected to statistical analysis (combination of factor analysis with logistic/linear regression).</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">In this study, the approach of combined use of GIS analyses and statistical evaluation of large input data sets was tested. The asthma prevalence demonstrated positive associations with the air pollution (PM10, PM2.5, benzene, benzo(a)pyren, SO2, Pb, Cd) and the rate of agricultural use of land (growing oats, rye, arable fodder crops). Conversely, there was a negative association with the occurrence of natural forests (ash, poplar, fir, beech, spruce, pine). No significant associations were observed with the distance from the road, traffic intensity and NO2 concentration.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">These findings suggest that the outdoor quality may be one of the crucial factors for asthma prevalence.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Škarková</LastName><ForeName>Pavla</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Kadlubiec</LastName><ForeName>Radek</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Fischer</LastName><ForeName>Michal</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Kratěnová</LastName><ForeName>Jana</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Zapletal</LastName><ForeName>Miloš</ForeName><Initials>M</Initials></Author><Author 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PubStatus="pubmed"><Year>2015</Year><Month>12</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>12</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">26615660</ArticleId><ArticleId IdType="doi">10.21101/cejph.a4193</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list></list><tree><noCountry><name sortKey="Fischer, Michal" sort="Fischer, Michal" uniqKey="Fischer M" first="Michal" last="Fischer">Michal Fischer</name><name sortKey="Kadlubiec, Radek" sort="Kadlubiec, Radek" uniqKey="Kadlubiec R" first="Radek" last="Kadlubiec">Radek Kadlubiec</name><name sortKey="Krat Nova, Jana" sort="Krat Nova, Jana" uniqKey="Krat Nova J" first="Jana" last="Krat Nová">Jana Krat Nová</name><name sortKey="Skarkova, Pavla" sort="Skarkova, Pavla" uniqKey="Skarkova P" first="Pavla" last="Škarková">Pavla Škarková</name><name sortKey="Vrubel, Ji I" sort="Vrubel, Ji I" uniqKey="Vrubel J" first="Ji I" last="Vrubel">Ji I Vrubel</name><name sortKey="Zapletal, Milos" sort="Zapletal, Milos" uniqKey="Zapletal M" first="Miloš" last="Zapletal">Miloš Zapletal</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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