Evidence map›Paper›PMID 28000684›Full record

ArticleJournal of exposure science & environmental epidemiology2018

Levels and determinants of tree pollen in New York City.

Kate R Weinberger, Patrick L Kinney, Guy S Robinson, Daniel Sheehan, Iyad Kheirbek, Thomas D Matte, Gina S Lovasi

Abstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Aeroallergens in Canada: Distribution, Public Health Impacts, and Opportunities for Prevention.International journal of environmental research and public health · 2018
    Review
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kate R WeinbergerInstitute at Brown for Environment and Society, Brown University, Providence, Rhode Island 02912, USA.
Patrick L KinneyDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York 10032, USA.
Guy S RobinsonLouis Calder Center Biological Field Station, Fordham University, Armonk, New York 10504, USA.
Daniel SheehanDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York 10032, USA.
Iyad KheirbekNew York City Department of Health and Mental Hygiene, Bureau of Environmental Surveillance and Policy, New York 10012, USA.
Thomas D MatteNew York City Department of Health and Mental Hygiene, Bureau of Environmental Surveillance and Policy, New York 10012, USA.
Gina S LovasiDepartment of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania 19104, USA.

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Supplemental Training in Making Data FAIR and AI/ML ReadyT32ES007322 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Pam R Factor-Litvak, Allison Kupsco · 2000 to 2026
$12.1M
Interdisciplinary Training in Climate and HealthT32ES023770 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHAMAN, JEFFREY L · 2014 to 2019
$1.5M
NIEHS NIH HHS P30 ES009089NIEHS NIH HHS T32 ES007322NIEHS NIH HHS T32 ES023770
6 · The paper itself

Abstract

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. Land use regression models can be used to incorporate spatial variation in tree pollen exposure in studies of allergic disease outcomes.

Indexed as

CitiesPollenTreesEnvironmental ExposureGeographic Information SystemsHumansModels, TheoreticalNew York CityRegression AnalysisReproducibility of ResultsRisk AssessmentSpatial AnalysisUrban Population

Identifiers

PMID28000684
PMCPMC5479752

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.