Levels and determinants of tree pollen in New York City
Exposure to allergenic tree pollen is a risk factor for multiple allergic disease outcomes. Little is known about how tree pollen levels vary within cities and whether such variation affects the development or exacerbation of allergic disease. Accordingly, we collected integrated pollen samples at u...
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| Veröffentlicht in: | Journal of exposure science & environmental epidemiology 2018-03, Vol.28 (2), p.119-124 |
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| container_title | Journal of exposure science & environmental epidemiology |
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| creator | Weinberger, Kate R Kinney, Patrick L Robinson, Guy S Sheehan, Daniel Kheirbek, Iyad Matte, Thomas D Lovasi, Gina S |
| description | Exposure to allergenic tree pollen is a risk factor for multiple allergic disease outcomes. Little is known about how tree pollen levels vary within cities and whether such variation affects the development or exacerbation of allergic disease. Accordingly, we collected integrated pollen samples at uniform height at 45 sites across New York City during the 2013 pollen season. We used these monitoring results in combination with adjacent land use data to develop a land use regression model for tree pollen. We evaluated four types of land use variables for inclusion in the model: tree canopy, distributed building height (a measure of building volume density), elevation, and distance to water. When included alone in the model, percent tree canopy cover within a 0.5 km radial buffer explained 39% of the variance in tree pollen (1.9% increase in tree pollen per one-percentage point increase in tree canopy cover,
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| doi_str_mv | 10.1038/jes.2016.72 |
| format | Article |
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P
<0.0001). The inclusion of additional variables did not improve model fit. We conclude that intra-urban variation in tree canopy is an important driver of tree pollen exposure. Land use regression models can be used to incorporate spatial variation in tree pollen exposure in studies of allergic disease outcomes.</description><identifier>ISSN: 1559-0631</identifier><identifier>EISSN: 1559-064X</identifier><identifier>DOI: 10.1038/jes.2016.72</identifier><identifier>PMID: 28000684</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>692/699/249/2510/9 ; 704/172/169/895 ; Allergy ; Canopies ; Cities ; Environmental aspects ; Environmental Exposure - analysis ; Epidemiology ; Exposure ; Geographic Information Systems ; Herbivores ; Humans ; Land use ; Medicine ; Medicine & Public Health ; Models, Theoretical ; New York City ; original-article ; Pollen ; Regression Analysis ; Regression models ; Reproducibility of Results ; Risk Assessment - methods ; Risk factors ; Spatial Analysis ; Spatial distribution ; Trees ; Urban Population ; Variation</subject><ispartof>Journal of exposure science & environmental epidemiology, 2018-03, Vol.28 (2), p.119-124</ispartof><rights>Nature America, Inc., part of Springer Nature. 2018</rights><rights>COPYRIGHT 2018 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Mar 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c544t-11630d8c51d1c1622eb24688ff300e29b7b1a20bb87fbea925a6f0c41f7d74c43</citedby><cites>FETCH-LOGICAL-c544t-11630d8c51d1c1622eb24688ff300e29b7b1a20bb87fbea925a6f0c41f7d74c43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/jes.2016.72$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/jes.2016.72$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28000684$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Weinberger, Kate R</creatorcontrib><creatorcontrib>Kinney, Patrick L</creatorcontrib><creatorcontrib>Robinson, Guy S</creatorcontrib><creatorcontrib>Sheehan, Daniel</creatorcontrib><creatorcontrib>Kheirbek, Iyad</creatorcontrib><creatorcontrib>Matte, Thomas D</creatorcontrib><creatorcontrib>Lovasi, Gina S</creatorcontrib><title>Levels and determinants of tree pollen in New York City</title><title>Journal of exposure science & environmental epidemiology</title><addtitle>J Expo Sci Environ Epidemiol</addtitle><addtitle>J Expo Sci Environ Epidemiol</addtitle><description>Exposure to allergenic tree pollen is a risk factor for multiple allergic disease outcomes. Little is known about how tree pollen levels vary within cities and whether such variation affects the development or exacerbation of allergic disease. Accordingly, we collected integrated pollen samples at uniform height at 45 sites across New York City during the 2013 pollen season. We used these monitoring results in combination with adjacent land use data to develop a land use regression model for tree pollen. We evaluated four types of land use variables for inclusion in the model: tree canopy, distributed building height (a measure of building volume density), elevation, and distance to water. When included alone in the model, percent tree canopy cover within a 0.5 km radial buffer explained 39% of the variance in tree pollen (1.9% increase in tree pollen per one-percentage point increase in tree canopy cover,
P
<0.0001). The inclusion of additional variables did not improve model fit. We conclude that intra-urban variation in tree canopy is an important driver of tree pollen exposure. 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Little is known about how tree pollen levels vary within cities and whether such variation affects the development or exacerbation of allergic disease. Accordingly, we collected integrated pollen samples at uniform height at 45 sites across New York City during the 2013 pollen season. We used these monitoring results in combination with adjacent land use data to develop a land use regression model for tree pollen. We evaluated four types of land use variables for inclusion in the model: tree canopy, distributed building height (a measure of building volume density), elevation, and distance to water. When included alone in the model, percent tree canopy cover within a 0.5 km radial buffer explained 39% of the variance in tree pollen (1.9% increase in tree pollen per one-percentage point increase in tree canopy cover,
P
<0.0001). The inclusion of additional variables did not improve model fit. We conclude that intra-urban variation in tree canopy is an important driver of tree pollen exposure. Land use regression models can be used to incorporate spatial variation in tree pollen exposure in studies of allergic disease outcomes.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>28000684</pmid><doi>10.1038/jes.2016.72</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | 692/699/249/2510/9 704/172/169/895 Allergy Canopies Cities Environmental aspects Environmental Exposure - analysis Epidemiology Exposure Geographic Information Systems Herbivores Humans Land use Medicine Medicine & Public Health Models, Theoretical New York City original-article Pollen Regression Analysis Regression models Reproducibility of Results Risk Assessment - methods Risk factors Spatial Analysis Spatial distribution Trees Urban Population Variation |
| title | Levels and determinants of tree pollen in New York City |
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