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The use of Enhanced Vegetation Index for assessing access to different types of green space in epidemiological studies

Amy Mizen Orcid Logo, Daniel Thompson, Alan Watkins Orcid Logo, Ashley Akbari Orcid Logo, Joanne K. Garrett, Rebecca Geary, Rebecca Lovell, Ronan Lyons Orcid Logo, Mark Nieuwenhuijsen, Sarah C. Parker, Francis M. Rowney, Jiao Song, Gareth Stratton Orcid Logo, Benedict W. Wheeler, James White, Mathew P. White, Sue Williams, Sarah E. Rodgers, Rich Fry Orcid Logo

Journal of Exposure Science and Environmental Epidemiology

Swansea University Authors: Amy Mizen Orcid Logo, Daniel Thompson, Alan Watkins Orcid Logo, Ashley Akbari Orcid Logo, Ronan Lyons Orcid Logo, Gareth Stratton Orcid Logo, Rich Fry Orcid Logo

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DOI (Published version): 10.1038/s41370-024-00650-5

Abstract

Background: Exposure to green space can protect against poor health through a variety of mechanisms. However, there is heterogeneity in methodological approaches to exposure assessments which makes creating effective policy recommendations challenging.Objective: Critically evaluate the use of a sate...

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Published in: Journal of Exposure Science and Environmental Epidemiology
ISSN: 1559-0631 1559-064X
Published: Springer Science and Business Media LLC 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa65638
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However, there is heterogeneity in methodological approaches to exposure assessments which makes creating effective policy recommendations challenging.Objective: Critically evaluate the use of a satellite-derived exposure metric, the Enhanced Vegetation Index (EVI), for assessing access to different types of green space in epidemiological studies.Methods: We used Landsat 5-8 (30 m resolution) to calculate average EVI for a 300m radius surrounding 1.4 million households in Wales, UK for 2018. We calculated two additional measures using topographic vector data to represent access to green spaces within 300m of household locations. The two topographic vector-based measures were total green space area stratified by type and average private garden size. We used linear regression models to test whether EVI could discriminate between publicly accessible and private green space and Pearson correlation to test associations between EVI and green space types.Results: Mean EVI for a 300m radius surrounding households in Wales was 0.22 (IQR= 0.12). Total green space area and average private garden size were significantly positively associated with corresponding EVI measures (= &lt;0.0001, 95% CI: 0.0000,0.0000; = 0.0001, 95% CI: 0.0001,0.0001 respectively). In urban areas, as average garden size increases by 1m2, EVI increases by 0.0002. Therefore, in urban areas, to see a 0.1 unit increase in EVI index score, garden size would need to increase by 500m2. The very small  values represent no ‘measurable real-world’ associations. When stratified by type, we observed no strong associations between greenspace and EVI.Significance: Satellite-derived measures such as EVI offer the opportunity to objectively measure exposure to greenness in the hyperlocal environment. However, EVI should be interpreted with care as a greater EVI score does not necessarily mean greater access to publicly available green spaces in the hyperlocal environment.</abstract><type>Journal Article</type><journal>Journal of Exposure Science and Environmental Epidemiology</journal><volume>0</volume><journalNumber/><paginationStart/><paginationEnd/><publisher>Springer Science and Business Media LLC</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1559-0631</issnPrint><issnElectronic>1559-064X</issnElectronic><keywords>Enhanced Vegetation Index (EVI), Exposure assessment, Residential greenness, Epidemiological studies</keywords><publishedDay>29</publishedDay><publishedMonth>2</publishedMonth><publishedYear>2024</publishedYear><publishedDate>2024-02-29</publishedDate><doi>10.1038/s41370-024-00650-5</doi><url/><notes/><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>This research was conducted as part of independent research funded by the National Institute for Health Research (NIHR), project number 16/07/07. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care.</funders><projectreference/><lastEdited>2024-04-03T16:38:18.8173688</lastEdited><Created>2024-02-14T14:03:26.5250253</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Health Data Science</level></path><authors><author><firstname>Amy</firstname><surname>Mizen</surname><orcid>0000-0001-7516-6767</orcid><order>1</order></author><author><firstname>Daniel</firstname><surname>Thompson</surname><order>2</order></author><author><firstname>Alan</firstname><surname>Watkins</surname><orcid>0000-0003-3804-1943</orcid><order>3</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>4</order></author><author><firstname>Joanne K.</firstname><surname>Garrett</surname><order>5</order></author><author><firstname>Rebecca</firstname><surname>Geary</surname><order>6</order></author><author><firstname>Rebecca</firstname><surname>Lovell</surname><order>7</order></author><author><firstname>Ronan</firstname><surname>Lyons</surname><orcid>0000-0001-5225-000X</orcid><order>8</order></author><author><firstname>Mark</firstname><surname>Nieuwenhuijsen</surname><order>9</order></author><author><firstname>Sarah C.</firstname><surname>Parker</surname><order>10</order></author><author><firstname>Francis M.</firstname><surname>Rowney</surname><order>11</order></author><author><firstname>Jiao</firstname><surname>Song</surname><order>12</order></author><author><firstname>Gareth</firstname><surname>Stratton</surname><orcid>0000-0001-5618-0803</orcid><order>13</order></author><author><firstname>Benedict W.</firstname><surname>Wheeler</surname><order>14</order></author><author><firstname>James</firstname><surname>White</surname><order>15</order></author><author><firstname>Mathew P.</firstname><surname>White</surname><order>16</order></author><author><firstname>Sue</firstname><surname>Williams</surname><order>17</order></author><author><firstname>Sarah E.</firstname><surname>Rodgers</surname><order>18</order></author><author><firstname>Rich</firstname><surname>Fry</surname><orcid>0000-0002-7968-6679</orcid><order>19</order></author></authors><documents><document><filename>65638__29883__4be000d06ffe4fbfba1735421298fb3f.pdf</filename><originalFilename>65638VoR.pdf</originalFilename><uploaded>2024-04-03T11:50:26.4955255</uploaded><type>Output</type><contentLength>1354824</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>This article is licensed under a Creative Commons Attribution 4.0 International License.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling v2 65638 2024-02-14 The use of Enhanced Vegetation Index for assessing access to different types of green space in epidemiological studies 9e9db8229784e27fcd79a14ee097e10b 0000-0001-7516-6767 Amy Mizen Amy Mizen true false 40739e67f38acf288da063663d77850a Daniel Thompson Daniel Thompson true false 81fc05c9333d9df41b041157437bcc2f 0000-0003-3804-1943 Alan Watkins Alan Watkins true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 6d62b2ed126961bed81a94a2beba8a01 0000-0001-5618-0803 Gareth Stratton Gareth Stratton true false d499b898d447b62c81b2c122598870e0 0000-0002-7968-6679 Rich Fry Rich Fry true false 2024-02-14 HDAT Background: Exposure to green space can protect against poor health through a variety of mechanisms. However, there is heterogeneity in methodological approaches to exposure assessments which makes creating effective policy recommendations challenging.Objective: Critically evaluate the use of a satellite-derived exposure metric, the Enhanced Vegetation Index (EVI), for assessing access to different types of green space in epidemiological studies.Methods: We used Landsat 5-8 (30 m resolution) to calculate average EVI for a 300m radius surrounding 1.4 million households in Wales, UK for 2018. We calculated two additional measures using topographic vector data to represent access to green spaces within 300m of household locations. The two topographic vector-based measures were total green space area stratified by type and average private garden size. We used linear regression models to test whether EVI could discriminate between publicly accessible and private green space and Pearson correlation to test associations between EVI and green space types.Results: Mean EVI for a 300m radius surrounding households in Wales was 0.22 (IQR= 0.12). Total green space area and average private garden size were significantly positively associated with corresponding EVI measures (= <0.0001, 95% CI: 0.0000,0.0000; = 0.0001, 95% CI: 0.0001,0.0001 respectively). In urban areas, as average garden size increases by 1m2, EVI increases by 0.0002. Therefore, in urban areas, to see a 0.1 unit increase in EVI index score, garden size would need to increase by 500m2. The very small  values represent no ‘measurable real-world’ associations. When stratified by type, we observed no strong associations between greenspace and EVI.Significance: Satellite-derived measures such as EVI offer the opportunity to objectively measure exposure to greenness in the hyperlocal environment. However, EVI should be interpreted with care as a greater EVI score does not necessarily mean greater access to publicly available green spaces in the hyperlocal environment. Journal Article Journal of Exposure Science and Environmental Epidemiology 0 Springer Science and Business Media LLC 1559-0631 1559-064X Enhanced Vegetation Index (EVI), Exposure assessment, Residential greenness, Epidemiological studies 29 2 2024 2024-02-29 10.1038/s41370-024-00650-5 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University This research was conducted as part of independent research funded by the National Institute for Health Research (NIHR), project number 16/07/07. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care. 2024-04-03T16:38:18.8173688 2024-02-14T14:03:26.5250253 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Amy Mizen 0000-0001-7516-6767 1 Daniel Thompson 2 Alan Watkins 0000-0003-3804-1943 3 Ashley Akbari 0000-0003-0814-0801 4 Joanne K. Garrett 5 Rebecca Geary 6 Rebecca Lovell 7 Ronan Lyons 0000-0001-5225-000X 8 Mark Nieuwenhuijsen 9 Sarah C. Parker 10 Francis M. Rowney 11 Jiao Song 12 Gareth Stratton 0000-0001-5618-0803 13 Benedict W. Wheeler 14 James White 15 Mathew P. White 16 Sue Williams 17 Sarah E. Rodgers 18 Rich Fry 0000-0002-7968-6679 19 65638__29883__4be000d06ffe4fbfba1735421298fb3f.pdf 65638VoR.pdf 2024-04-03T11:50:26.4955255 Output 1354824 application/pdf Version of Record true This article is licensed under a Creative Commons Attribution 4.0 International License. true eng http://creativecommons.org/licenses/by/4.0/
title The use of Enhanced Vegetation Index for assessing access to different types of green space in epidemiological studies
spellingShingle The use of Enhanced Vegetation Index for assessing access to different types of green space in epidemiological studies
Amy Mizen
Daniel Thompson
Alan Watkins
Ashley Akbari
Ronan Lyons
Gareth Stratton
Rich Fry
title_short The use of Enhanced Vegetation Index for assessing access to different types of green space in epidemiological studies
title_full The use of Enhanced Vegetation Index for assessing access to different types of green space in epidemiological studies
title_fullStr The use of Enhanced Vegetation Index for assessing access to different types of green space in epidemiological studies
title_full_unstemmed The use of Enhanced Vegetation Index for assessing access to different types of green space in epidemiological studies
title_sort The use of Enhanced Vegetation Index for assessing access to different types of green space in epidemiological studies
author_id_str_mv 9e9db8229784e27fcd79a14ee097e10b
40739e67f38acf288da063663d77850a
81fc05c9333d9df41b041157437bcc2f
aa1b025ec0243f708bb5eb0a93d6fb52
83efcf2a9dfcf8b55586999d3d152ac6
6d62b2ed126961bed81a94a2beba8a01
d499b898d447b62c81b2c122598870e0
author_id_fullname_str_mv 9e9db8229784e27fcd79a14ee097e10b_***_Amy Mizen
40739e67f38acf288da063663d77850a_***_Daniel Thompson
81fc05c9333d9df41b041157437bcc2f_***_Alan Watkins
aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons
6d62b2ed126961bed81a94a2beba8a01_***_Gareth Stratton
d499b898d447b62c81b2c122598870e0_***_Rich Fry
author Amy Mizen
Daniel Thompson
Alan Watkins
Ashley Akbari
Ronan Lyons
Gareth Stratton
Rich Fry
author2 Amy Mizen
Daniel Thompson
Alan Watkins
Ashley Akbari
Joanne K. Garrett
Rebecca Geary
Rebecca Lovell
Ronan Lyons
Mark Nieuwenhuijsen
Sarah C. Parker
Francis M. Rowney
Jiao Song
Gareth Stratton
Benedict W. Wheeler
James White
Mathew P. White
Sue Williams
Sarah E. Rodgers
Rich Fry
format Journal article
container_title Journal of Exposure Science and Environmental Epidemiology
container_volume 0
publishDate 2024
institution Swansea University
issn 1559-0631
1559-064X
doi_str_mv 10.1038/s41370-024-00650-5
publisher Springer Science and Business Media LLC
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
document_store_str 1
active_str 0
description Background: Exposure to green space can protect against poor health through a variety of mechanisms. However, there is heterogeneity in methodological approaches to exposure assessments which makes creating effective policy recommendations challenging.Objective: Critically evaluate the use of a satellite-derived exposure metric, the Enhanced Vegetation Index (EVI), for assessing access to different types of green space in epidemiological studies.Methods: We used Landsat 5-8 (30 m resolution) to calculate average EVI for a 300m radius surrounding 1.4 million households in Wales, UK for 2018. We calculated two additional measures using topographic vector data to represent access to green spaces within 300m of household locations. The two topographic vector-based measures were total green space area stratified by type and average private garden size. We used linear regression models to test whether EVI could discriminate between publicly accessible and private green space and Pearson correlation to test associations between EVI and green space types.Results: Mean EVI for a 300m radius surrounding households in Wales was 0.22 (IQR= 0.12). Total green space area and average private garden size were significantly positively associated with corresponding EVI measures (= <0.0001, 95% CI: 0.0000,0.0000; = 0.0001, 95% CI: 0.0001,0.0001 respectively). In urban areas, as average garden size increases by 1m2, EVI increases by 0.0002. Therefore, in urban areas, to see a 0.1 unit increase in EVI index score, garden size would need to increase by 500m2. The very small  values represent no ‘measurable real-world’ associations. When stratified by type, we observed no strong associations between greenspace and EVI.Significance: Satellite-derived measures such as EVI offer the opportunity to objectively measure exposure to greenness in the hyperlocal environment. However, EVI should be interpreted with care as a greater EVI score does not necessarily mean greater access to publicly available green spaces in the hyperlocal environment.
published_date 2024-02-29T16:38:15Z
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score 11.013417

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