Journal article
It's not easy assessing greenness: A comparison of NDVI datasets and neighborhood types and their associations with self-rated health in New York City
Health & place, v 54, pp 92-101
01 Nov 2018
PMID: 30248597
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Growing evidence suggests that exposure to greenness benefits health, but studies assess greenness differently. We hypothesize greenness-health associations vary by exposure assessment method. To test this, we considered four vegetation datasets (three Normalized Difference Vegetation Index datasets with different spatial resolutions and a finely-resolved land cover dataset), and six aggregation units (five radial buffer sizes and self-described neighborhoods) of each dataset. We compared associations of self-rated health and these metrics of greenness among a sample of New York City residents. Associations with self-rated health varied more by aggregation unit than by vegetation dataset; larger buffers and self-described neighborhoods showed more positive associations. Researchers should consider spatial exposure misclassification in future greenness and health research.
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Details
- Title
- It's not easy assessing greenness: A comparison of NDVI datasets and neighborhood types and their associations with self-rated health in New York City
- Creators
- Colleen E. Reid - Philippine Institute for Development StudiesLaura D. Kubzansky - Harvard UniversityJiayue Li - Philippine Institute for Development StudiesJessie L. Shmool - University of PittsburghJane E. Clougherty - University of Pittsburgh
- Publication Details
- Health & place, v 54, pp 92-101
- Publisher
- Elsevier
- Number of pages
- 10
- Grant note
- Robert Wood Johnson Foundation Health and Society Scholars Program; Robert Wood Johnson Foundation (RWJF) RD 83457601-0 / EPA STAR Grant; United States Environmental Protection Agency
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Environmental and Occupational Health
- Web of Science ID
- WOS:000450111700012
- Scopus ID
- 2-s2.0-85053731919
- Other Identifier
- 991019169904204721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health