Health and the built environment in United States cities: measuring associations using Google Street View-derived indicators of the built environment.
Built environment
Computer vision
Google Street View
Machine learning
Structural determinants of health
Journal
BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562
Informations de publication
Date de publication:
12 Feb 2020
12 Feb 2020
Historique:
received:
04
11
2019
accepted:
29
01
2020
entrez:
14
2
2020
pubmed:
14
2
2020
medline:
29
5
2020
Statut:
epublish
Résumé
The built environment is a structural determinant of health and has been shown to influence health expenditures, behaviors, and outcomes. Traditional methods of assessing built environment characteristics are time-consuming and difficult to combine or compare. Google Street View (GSV) images represent a large, publicly available data source that can be used to create indicators of characteristics of the physical environment with machine learning techniques. The aim of this study is to use GSV images to measure the association of built environment features with health-related behaviors and outcomes at the census tract level. We used computer vision techniques to derive built environment indicators from approximately 31 million GSV images at 7.8 million intersections. Associations between derived indicators and health-related behaviors and outcomes on the census-tract level were assessed using multivariate regression models, controlling for demographic factors and socioeconomic position. Statistical significance was assessed at the α = 0.05 level. Single lane roads were associated with increased diabetes and obesity, while non-single-family home buildings were associated with decreased obesity, diabetes and inactivity. Street greenness was associated with decreased prevalence of physical and mental distress, as well as decreased binge drinking, but with increased obesity. Socioeconomic disadvantage was negatively associated with binge drinking prevalence and positively associated with all other health-related behaviors and outcomes. Structural determinants of health such as the built environment can influence population health. Our study suggests that higher levels of urban development have mixed effects on health and adds further evidence that socioeconomic distress has adverse impacts on multiple physical and mental health outcomes.
Sections du résumé
BACKGROUND
BACKGROUND
The built environment is a structural determinant of health and has been shown to influence health expenditures, behaviors, and outcomes. Traditional methods of assessing built environment characteristics are time-consuming and difficult to combine or compare. Google Street View (GSV) images represent a large, publicly available data source that can be used to create indicators of characteristics of the physical environment with machine learning techniques. The aim of this study is to use GSV images to measure the association of built environment features with health-related behaviors and outcomes at the census tract level.
METHODS
METHODS
We used computer vision techniques to derive built environment indicators from approximately 31 million GSV images at 7.8 million intersections. Associations between derived indicators and health-related behaviors and outcomes on the census-tract level were assessed using multivariate regression models, controlling for demographic factors and socioeconomic position. Statistical significance was assessed at the α = 0.05 level.
RESULTS
RESULTS
Single lane roads were associated with increased diabetes and obesity, while non-single-family home buildings were associated with decreased obesity, diabetes and inactivity. Street greenness was associated with decreased prevalence of physical and mental distress, as well as decreased binge drinking, but with increased obesity. Socioeconomic disadvantage was negatively associated with binge drinking prevalence and positively associated with all other health-related behaviors and outcomes.
CONCLUSIONS
CONCLUSIONS
Structural determinants of health such as the built environment can influence population health. Our study suggests that higher levels of urban development have mixed effects on health and adds further evidence that socioeconomic distress has adverse impacts on multiple physical and mental health outcomes.
Identifiants
pubmed: 32050938
doi: 10.1186/s12889-020-8300-1
pii: 10.1186/s12889-020-8300-1
pmc: PMC7017447
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
215Subventions
Organisme : NLM NIH HHS
ID : R01 LM012849
Pays : United States
Organisme : U.S. National Library of Medicine
ID : LM012849
Références
Am J Public Health. 2017 Oct;107(10):1563-1564
pubmed: 28902537
Environ Health Perspect. 2009 Mar;117(3):442-7
pubmed: 19337520
Int J Environ Res Public Health. 2019 Aug 14;16(16):
pubmed: 31416292
Prev Med Rep. 2019 Jul 13;15:100953
pubmed: 31367515
J Urban Health. 2019 Aug;96(4):537-548
pubmed: 30887375
Fam Community Health. 2010 Jan-Mar;33(1):68-78
pubmed: 20010006
Lancet. 2016 Dec 10;388(10062):2925-2935
pubmed: 27671671
Cancer. 2019 Oct 1;125(19):3299-3311
pubmed: 31287585
Prev Med Rep. 2019 Apr 09;14:100859
pubmed: 31061781
Int J Environ Res Public Health. 2019 Aug 31;16(17):
pubmed: 31480418
Int J Environ Res Public Health. 2018 Sep 10;15(9):
pubmed: 30201927
Am J Health Promot. 2008 Jan-Feb;22(3):187-94
pubmed: 18251120
Soc Sci Med. 2008 Jul;67(1):38-46
pubmed: 18433964
Am J Prev Med. 2011 Jan;40(1):94-100
pubmed: 21146773
J Epidemiol Community Health. 2018 Mar;72(3):260-266
pubmed: 29335255
Health Place. 2019 Jul;58:102154
pubmed: 31234122
Health Place. 2018 Jul;52:240-246
pubmed: 30015181
Am J Epidemiol. 2009 Feb 15;169(4):401-8
pubmed: 19153214
Obes Rev. 2019 Sep 10;:
pubmed: 31507068
Ann Behav Med. 2013 Feb;45 Suppl 1:S108-12
pubmed: 23054943
Am J Prev Med. 2009 Apr;36(4 Suppl):S99-123.e12
pubmed: 19285216
J Healthc Eng. 2015;6(1):41-54
pubmed: 25708376
Am J Health Promot. 2004 May-Jun;18(5):378-86
pubmed: 15163139
J Health Soc Behav. 2001 Sep;42(3):258-76
pubmed: 11668773
Health Place. 2016 Jan;37:16-25
pubmed: 26699447
Am J Health Promot. 2007 Mar-Apr;21(4 Suppl):326-34
pubmed: 17465178
Rev Environ Health. 2017 Dec 20;32(4):315-331
pubmed: 28809754
MCN Am J Matern Child Nurs. 2017 Jan/Feb;42(1):14-20
pubmed: 27755063