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Demographic Inequities in Health Outcomes and Air Pollution Exposure in the Atlanta Area and its Relationship to Urban Infrastructure

Journal of Urban Health volume 96, pages 219–234 (2019)Cite this article

Abstract

Environmental burdens such as air pollution are inequitably distributed with groups of lower socioeconomic statuses, which tend to comprise of large proportions of racial minorities, typically bearing greater exposure. Such groups have also been shown to present more severe health outcomes which can be related to adverse pollution exposure. Air pollution exposure, especially in urban areas, is usually impacted by the built environment, such as major roadways, which can be a significant source of air pollution. This study aims to examine inequities in prevalence of cardiovascular and respiratory diseases in the Atlanta metropolitan region as they relate to exposure to air pollution and characteristics of the built environment. Census tract level data were obtained from multiple sources to model health outcomes (asthma, chronic obstructive pulmonary disease, coronary heart disease, and stroke), pollution exposure (particulate matter and nitrogen oxides), demographics (ethnicity and proportion of elderly residents), and infrastructure characteristics (tree canopy cover, access to green space, and road intersection density). Conditional autoregressive models were fit to the data to account for spatial autocorrelation among census tracts. The statistical model showed areas with majority African-American populations had significantly higher exposure to both air pollutants and higher prevalence of each disease. When considering univariate associations between pollution and health outcomes, the only significant association existed between nitrogen oxides and COPD being negatively correlated. Greater percent tree canopy cover and green space access were associated with higher prevalence of COPD, CHD, and stroke. Overall, in considering health outcomes in connection with pollution exposure infrastructure and ethnic demographics, demographics remained the most significant explanatory variable.

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References

  1. Shrestha R, Flacke J, Martinez J, van Maarseveen M. Environmental health related socio-spatial inequalities: identifying “Hotspots” of environmental burdens and social vulnerability. Int J Env Res Pub He. 2016;13(7):Artn 691. https://doi.org/10.3390/Ijerph13070691.

    Article  Google Scholar 

  2. Hajat A, Hsia C, O’Neill MS. Socioeconomic disparities and air pollution exposure: a global review. Curr Environ Health Rep. 2015;2(4):440–50. https://doi.org/10.1007/s40572-015-0069-5.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  3. Havard S, Deguen S, Zmirou-Navier D, Schillinger C, Bard D. Traffic-related air pollution and socioeconomic status: a spatial autocorrelation study to assess environmental equity on a small-area scale. Epidemiology. 2009;20(6):S33.

    Article  Google Scholar 

  4. Stuart AL, Zeager M. An inequality study of ambient nitrogen dioxide and traffic levels near elementary schools in the Tampa area. J Environ Manag. 2011;92(8):1923–30. https://doi.org/10.1016/j.jenvman.2011.03.003.

    CAS  Article  Google Scholar 

  5. Mohai P, Saha R. Reassessing racial and socioeconomic disparities in environmental justice research. Demography. 2006;43(2):383–99. https://doi.org/10.1353/dem.2006.0017.

    Article  PubMed  Google Scholar 

  6. Organization WH. 7 million premature deaths annually linked to air pollution. http://www.who.int/mediacentre/news/releases/2014/air-pollution/en/ 2014. Accessed 16 Nov 2018

  7. Landrigan PJ, Fuller R, Acosta NJR, Adeyi O, Arnold R, Basu N(N), et al. The Lancet Commission on pollution and health. Lancet. 2018;391(10119):462–512.

    Article  Google Scholar 

  8. Malmqvist E, Liew Z, Kallen K, et al. Fetal growth and air pollution—a study on ultrasound and birth measures. Environ Res. 2016;152:73–80. https://doi.org/10.1016/j.envres.2016.09.017.

    CAS  Article  PubMed  Google Scholar 

  9. Maisonet M, Correa A, Misra D, Jaakkola JJ. A review of the literature on the effects of ambient air pollution on fetal growth. Environ Res. 2004;95(1):106–15. https://doi.org/10.1016/j.envres.2004.01.001.

    CAS  Article  PubMed  Google Scholar 

  10. Kannan S, Misra DP, Dvonch JT, Krishnakumar A. Exposures to airborne particulate matter and adverse perinatal outcomes: a biologically plausible mechanistic framework for exploring potential. Cien Saude Colet. 2007;12(6):1591–602.

    Article  Google Scholar 

  11. Kirwa K, Eliot MN, Wang Y, et al. Residential proximity to major roadways and prevalent hypertension among postmenopausal women: results from the Women’s Health Initiative San Diego Cohort. J Am Heart Assoc. 2014;3(5):e000727. https://doi.org/10.1161/JAHA.113.000727.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Peters A, Dockery DW, Muller JE, Mittleman MA. Increased particulate air pollution and the triggering of myocardial infarction. Circulation. 2001;103(23):2810–5.

    CAS  Article  Google Scholar 

  13. Sarnat JA, Schwartz J, Suh HH. Fine particulate air pollution and mortality in 20 US cities. New Engl J Med. 2001;344(16):1253–4.

    CAS  Article  Google Scholar 

  14. Hei Collaborative Working Group on Air Pollution P, Health in Ho Chi Minh C, Le TG, et al. Effects of short-term exposure to air pollution on hospital admissions of young children for acute lower respiratory infections in Ho Chi Minh City, Vietnam. Res Rep Health Eff Inst. 2012;169:5–72. discussion 73-83

    Google Scholar 

  15. United Nations, Department of Economic and Social Affairs. World Urbanization Prospects: The 2014 revision, highlights. New York, NY: United Nations; 2014

  16. Huang R, Zhai XX, Ivey CE, Friberg MD, Hu X, Liu Y, et al. Air pollutant exposure field modeling using air quality model-data fusion methods and comparison with satellite AOD-derived fields: application over North Carolina, USA. Air Qual Atmos Health. 2018;11(1):11–22.

    CAS  Article  Google Scholar 

  17. Pratt GC, Vadali ML, Kvale DL, Ellickson KM. Traffic, air pollution, minority and socio-economic status: addressing inequities in exposure and risk. Int J Env Res Pub Health. 2015;12(5):5355–72.

    Article  Google Scholar 

  18. Mackenbach JP, Cavelaars AEJM, Kunst AE, Groenhof F, Inequ EWGS. Socioeconomic inequalities in cardiovascular disease mortality—an international study. Eur Heart J. 2000;21(14):1141–51. https://doi.org/10.1053/euhj.1999.1990.

    CAS  Article  PubMed  Google Scholar 

  19. Graham G. Population-based approaches to understanding disparities in cardiovascular disease risk in the United States. Int J Gen Med. 2014;7:393–400. https://doi.org/10.2147/IJGM.S65528.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Forno E, Celedon JC. Health disparities in asthma. Am J Respir Crit Care Med. 2012;185(10):1033–5. https://doi.org/10.1164/rccm.201202-0350ED.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Celedon JC, Roman J, Schraufnagel DE, Thomas A, Samet J. Respiratory health equality in the United States. The American thoracic society perspective. Ann Am Thorac Soc. 2014;11(4):473–9. https://doi.org/10.1513/AnnalsATS.201402-059PS.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Corburn J. Urban Place and health equity: critical issues and practices. Int J Env Res Pub Health 2017;14(2)

  23. Patel CJ, Manrai AK. Development of exposome correlation globes to map out environment-wide associations. Pac Symp Biocomput 2015:231–42

  24. Nowak DJ, Hirabayashi S, Bodine A, Greenfield E. Tree and forest effects on air quality and human health in the United States. Environ Pollut. 2014;193:119–29. https://doi.org/10.1016/j.envpol.2014.05.028.

    CAS  Article  PubMed  Google Scholar 

  25. van den Berg M, Wendel-Vos W, van Poppel M, Kemper H, van Mechelen W, Maas J. Health benefits of green spaces in the living environment: a systematic review of epidemiological studies. Urban For Urban Green. 2015;14(4):806–16. https://doi.org/10.1016/j.ufug.2015.07.008.

    Article  Google Scholar 

  26. Beckett KP, Freer-Smith PH, Taylor G. Particulate pollution capture by urban trees: effect of species and windspeed. Glob Chang Biol. 2000;6(8):995–1003.

    Article  Google Scholar 

  27. Abhijith KV, Kumar P, Gallagher J, McNabola A, Baldauf R, Pilla F, et al. Air pollution abatement performances of green infrastructure in open road and built-up street canyon environments—a review. Atmos Environ. 2017;162:71–86.

    CAS  Article  Google Scholar 

  28. Seinfeld JH, Pandis SN. Atmospheric chemistry and physics : from air pollution to climate change. 2nd ed. Hoboken, NJ: John Wiley & Sons, Inc.; 2006.

    Google Scholar 

  29. Carlton AG, Wiedinmyer C, Kroll JH. A review of secondary organic aerosol (SOA) formation from isoprene. Atmos Chem Phys. 2009;9(14):4987–5005.

    CAS  Article  Google Scholar 

  30. Walton RT, Mudway IS, Dundas I, et al. Air pollution, ethnicity and telomere length in east London schoolchildren: an observational study. Environ Int. 2016;96:41–7. https://doi.org/10.1016/j.envint.2016.08.021.

    CAS  Article  PubMed  Google Scholar 

  31. Barnett AG, Williams GM, Schwartz J, Neller AH, Best TL, Petroeschevsky AL, et al. Air pollution and child respiratory health—a case-crossover study in Australia and new Zealand. Am J Resp Crit Care. 2005;171(11):1272–8.

    Article  Google Scholar 

  32. Finkelstein MM, Jerrett M, DeLuca P, et al. Relation between income, air pollution and mortality: a cohort study. Can Med Assoc J. 2003;169(5):397–402.

    Google Scholar 

  33. Schwartz J. Air pollution and children’s health. Pediatrics. 2004;113(4):1037–43.

    PubMed  Google Scholar 

  34. Llop E, Pinho P, Ribeiro MC, Pereira MJ, Branquinho C. Traffic represents the main source of pollution in small Mediterranean urban areas as seen by lichen functional groups. Environ Sci Pollut Res. 2017;24(13):12016–25.

    Article  Google Scholar 

  35. Karagulian F, Belis CA, Dora CFC, Prüss-Ustün AM, Bonjour S, Adair-Rohani H, et al. Contributions to cities' ambient particulate matter (PM): a systematic review of local source contributions at global level. Atmos Environ. 2015;120:475–83.

    CAS  Article  Google Scholar 

  36. Singh KP, Gupta S, Rai P. Identifying pollution sources and predicting urban air quality using ensemble learning methods. Atmos Environ. 2013;80:426–37. https://doi.org/10.1016/j.atmosenv.2013.08.023.

    CAS  Article  Google Scholar 

  37. Zweig RM. Sources of urban air-pollution (Cont). New Engl J Med. 1974;290(22):1265.

    CAS  PubMed  Google Scholar 

  38. Lamsal LN, Martin RV, Parrish DD, Krotkov NA. Scaling relationship for NO2 pollution and urban population size: a satellite perspective. Environ Sci Technol. 2013;47(14):7855–61. https://doi.org/10.1021/es400744g.

    CAS  Article  PubMed  Google Scholar 

  39. Hu Y, Balachandran S, Pachon JE, Baek J, Ivey C, Holmes H, et al. Fine particulate matter source apportionment using a hybrid chemical transport and receptor model approach. Atmos Chem Phys. 2014;14(11):5415–31.

    Article  Google Scholar 

  40. Zhai XX, Mulholland JA, Russell AG, Holmes HA. Spatial and temporal source apportionment of PM2.5 in Georgia, 2002 to 2013. Atmos Environ. 2017;161:112–21.

    CAS  Article  Google Scholar 

  41. Zhai XX, Russell AG, Sampath P, Mulholland JA, Kim BU, Kim Y, et al. Calibrating R-LINE model results with observational data to develop annual mobile source air pollutant fields at fine spatial resolution: application in Atlanta. Atmos Environ. 2016;147:446–57.

    CAS  Article  Google Scholar 

  42. United States EPA. Smog, Soot, and Other Air Pollution from Transportation. Available at https://www.epa.gov/air-pollution-transportation/smog-soot-and-local-air-pollution. Accessed 5 Mar 2018.

  43. United States EPA. How Mobile Source Pollution Affects Your Health. Available at https://www.epa.gov/mobile-source-pollution/how-mobile-source-pollution-affects-your-health. Accessed 5 Mar 2018.

  44. Gunier RB, Hertz A, Von Behren J, Reynolds P. Traffic density in California: socioeconomic and ethnic differences among potentially exposed children. J Expo Anal Environ Epidemiol. 2003;13(3):240–6.

    Article  Google Scholar 

  45. HEI Panel on the Health Effects of Traffic-Related Air Pollution. Traffic-related air pollution: A critical review of the literature on emissions, exposure, and health effects. HEI Special Report 17. Boston, MA: Health Effects Institute; 2010.

  46. Sillman S, He DY, Cardelino C, Imhoff RE. The use of photochemical indicators to evaluate ozone-NOx-hydrocarbon sensitivity: case studies from Atlanta, New York, and Los Angeles. J Air Waste Manage Assoc. 1997;47(10):1030–40.

    CAS  Article  Google Scholar 

  47. CDC. 500 cities: Local data for better health. Atlanta, GA; 2014. Available at https://www.cdc.gov/500cities/index.htm

  48. Metro Atlanta Chamber. Profile of Metro Atlanta. Metro Comparisons. 2017. Atlanta, GA. Available at https://www.metroatlantachamber.com/assets/executiveprofilefinalrfp_r6DnPy6.pdf.

  49. Metro Atlanta Chamber. Metro comparisons: Top 10 largest US metro areas. 2018. Atlanta, GA. Available at https://www.metroatlantachamber.com/assets/metro_comparison_top_10_largest_2018_july_W1Bwn23.pdf

  50. Bates JT, Pennington AF, Zhai X, et al. Application and evaluation of two model fusion approaches to obtain ambient air pollutant concentrations at a fine spatial resolution (250m) in Atlanta. Environ Model Softw. 2018;109:182–90.

  51. Georgia Inst Technol. Center for Geographic Information Systems. Atlanta, GA: Health EALPA; 2016.

    Google Scholar 

  52. United States EPA. Cost of ambient air monitoring for criteria pollutants and selected air toxic pollutants. Cincinnati, OH; 1985.

  53. United States EPA. Guidance for estimating ambient air monitoring costs for criteria pollutant and selected air toxic pollutants. Research Triangle Park, NC; 1993.

  54. Solomon PA, Crumpler D, Flanagan JB, Jayanty RKM, Rickman EE, McDade CE. US National PM2.5 Chemical Speciation Monitoring Networks-CSN and IMPROVE: description of networks. J Air Waste Manage Assoc. 2014;64(12):1410–38. https://doi.org/10.1080/10962247.2014.956904.

    CAS  Article  Google Scholar 

  55. United States EPA Chemical Speciation Network. Available at https://www.epa.gov/amtic/chemical-speciation-network-csn. Accessed 5 Mar 2018.

  56. Branis M, Linhartova M. Association between unemployment, income, education level, population size and air pollution in Czech cities: evidence for environmental inequality? A pilot national scale analysis. Health Place. 2012;18(5):1110–4. https://doi.org/10.1016/j.healthplace.2012.04.011.

    Article  PubMed  Google Scholar 

  57. Snyder MG, Venkatram A, Heist DK, Perry SG, Petersen WB, Isakov V. RLINE: a line source dispersion model for near-surface releases. Atmos Environ. 2013;77:748–56.

    CAS  Article  Google Scholar 

  58. Dennis RL, Byun DW, Novak JH, Galluppi KJ, Coats CJ, Vouk MA. The next generation of integrated air quality modeling: EPA’s Models-3. Atmos Environ. 1996;30(12):1925–38.

    CAS  Article  Google Scholar 

  59. Byun D, Schere KL. Review of the governing equations, computational algorithms, and other components of the models-3 Community Multiscale Air Quality (CMAQ) modeling system. Appl Mech Rev. 2006;59(1–6):51–77.

    Article  Google Scholar 

  60. Binkowski FS, Roselle SJ. Models-3 community multiscale air quality (CMAQ) model aerosol component - 1. Model description. J Geophys Res-Atmos 2003;108(D6)

  61. Wania A, Bruse M, Blond N, Weber C. Analysing the influence of different street vegetation on traffic-induced particle dispersion using microscale simulations. J Environ Manag. 2012;94(1):91–101. https://doi.org/10.1016/j.jenvman.2011.06.036.

    Article  Google Scholar 

  62. Vos PEJ, Maiheu B, Vankerkom J, Janssen S. Improving local air quality in cities: to tree or not to tree? Environ Pollut. 2013;183:113–22. https://doi.org/10.1016/j.envpol.2012.10.021.

    CAS  Article  Google Scholar 

  63. Nowak DJ, Hirabayashi S, Bodine A, Hoehn R. Modeled PM2.5 removal by trees in ten US cities and associated health effects. Environ Pollut. 2013;178:395–402. https://doi.org/10.1016/j.envpol.2013.03.050.

    CAS  Article  PubMed  Google Scholar 

  64. Martin CA, Warren PS, Kinzig AP. Neighborhood socioeconomic status is a useful predictor of perennial landscape vegetation in residential neighborhoods and embedded small parks of Phoenix, AZ. Landsc Urban Plan. 2004;69(4):355–68. https://doi.org/10.1016/j.landurbplan.2003.10.034.

    Article  Google Scholar 

  65. Wen M, Zhang XY, Harris CD, Holt JB, Croft JB. Spatial disparities in the distribution of parks and green spaces in the USA. Ann Behav Med. 2013;45:S18–27. https://doi.org/10.1007/s12160-012-9426-x.

    Article  PubMed  Google Scholar 

  66. (2014) RCT. R: A language and environment for statistical computing. R Foundation for statistical computing, Vienna, Austria. 2014

  67. Cliff AD, Ord JK. Spatial processes: models and applications. London, UK: Taylor & Francis; 1981.

  68. Banerjee S, Carlin BP, Gelfand AE. Hierarchical modeling and analysis for spatial data, second edition. Boca Raton, FL: CRC Press; 2014.

  69. Bivand RS, Pebesema E, Gomez-Rubio V. Applied spatial data analysis with R. 2 nd edition. New York, NY: Springer; 2013.

  70. Ivey CE, Holmes HA, Hu YT, Mulholland JA, Russell AG. Development of PM2.5 source impact spatial fields using a hybrid source apportionment air quality model. Geosci Model Dev. 2015;8(7):2153–65.

    CAS  Article  Google Scholar 

  71. Xue T, Zheng YX, Geng G, Zheng B, Jiang X, Zhang Q, He K. Fusing Observational, Satellite Remote Sensing and Air Quality Model Simulated Data to Estimate Spatiotemporal Variations of PM2.5 Exposure in China. Remote Sens-Basel 2017;9(3):221

  72. Janhall S. Review on urban vegetation and particle air pollution—deposition and dispersion. Atmos Environ. 2015;105:130–7. https://doi.org/10.1016/j.atmosenv.2015.01.052.

    CAS  Article  Google Scholar 

  73. Jeanjean APR, Buccolieri R, Eddy J, Monks PS, Leigh RJ. Air quality affected by trees in real street canyons: the case of Marylebone neighbourhood in central London. Urban For Urban Green. 2017;22:41–53. https://doi.org/10.1016/j.ufug.2017.01.009.

    Article  Google Scholar 

  74. Xu L, Guo HY, Boyd CM, et al. Effects of anthropogenic emissions on aerosol formation from isoprene and monoterpenes in the southeastern United States (vol 112, pg 37, 2015). P Natl Acad Sci USA. 2015;112(32):E4509–E09.

    Article  Google Scholar 

  75. Sillman S. The relation between ozone, NOx and hydrocarbons in urban and polluted rural environments. Atmos Environ. 1999;33(12):1821–45.

    CAS  Article  Google Scholar 

  76. Wang QG, Han ZW, Wang TJ, Zhang RJ. Impacts of biogenic emissions of VOC and NOx on tropospheric ozone during summertime in eastern China. Sci Total Environ. 2008;395(1):41–9.

    CAS  Article  Google Scholar 

  77. Barnes CS, Alexis NE, Bernstein JA, Cohn JR, Demain JG, Horner E, et al. Climate change and our environment: the effect on respiratory and allergic disease. J Aller Cl Imm-Pract. 2013;1(2):137–41.

    Article  Google Scholar 

  78. CDC. Ozone and Your health. 2016. Atlanta, Georgia. Available at https://www.cdc.gov/air/ozone.html.

  79. Kelly FJ, Fussell JC. Air pollution and public health: emerging hazards and improved understanding of risk. Environ Geochem Health. 2015;37(4):631–49.

    CAS  Article  Google Scholar 

  80. Muller G, Harhoff R, Rahe C, Berger K. Inner-city green space and its association with body mass index and prevalent type 2 diabetes: a cross-sectional study in an urban German city. BMJ Open. 2018;8(1):e019062. https://doi.org/10.1136/bmjopen-2017-019062.

    Article  PubMed  PubMed Central  Google Scholar 

  81. Kondo MC, Fluehr JM, McKeon T, Branas CC. Urban green space and its impact on human health. Int J Env Res Pub Health. 2018;15(3):445. https://doi.org/10.3390/ijerph15030445.

    Article  Google Scholar 

  82. Maas J, Verheij RA, Groenewegen PP, de Vries S, Spreeuwenberg P. Green space, urbanity, and health: how strong is the relation? J Epidemiol Commun Health. 2006;60(7):587–92. https://doi.org/10.1136/jech.2005.043125.

    Article  Google Scholar 

  83. Dempsey S, Lyons S, Nolan A. Urban green space and obesity in older adults: evidence from Ireland. SSM-Popul Health. 2018;4:206–15. https://doi.org/10.1016/j.ssmph.2018.01.002.

    Article  PubMed  PubMed Central  Google Scholar 

  84. Lachowycz K, Jones AP. Greenspace and obesity: a systematic review of the evidence. Obes Rev. 2011;12(501):e183–e89.

    CAS  Article  Google Scholar 

  85. Tamosiunas A, Grazuleviciene R, Luksiene D, et al. Accessibility and use of urban green spaces, and cardiovascular health: findings from a Kaunas cohort study. Environ Health-Glob. 2014;13:20. https://doi.org/10.1186/1476-069x-13-20.

    Article  Google Scholar 

  86. Keith SJ, Larson LR, Shafer CS, Hallo JC, Fernandez M. Greenway use and preferences in diverse urban communities: implications for trail design and management. Landsc Urban Plan. 2018;172:47–59. https://doi.org/10.1016/j.landurbplan.2017.12.007.

    Article  Google Scholar 

  87. Bloemsma LD, Gehring U, Klompmaker JO, et al. Green space visits among adolescents: frequency and predictors in the PIAMA Birth Cohort Study. Environ Health Persp 2018;126(4)

  88. da Silveira IH, Junger WL. Green spaces and mortality due to cardiovascular diseases in the city of Rio de Janeiro. Rev Saude Publica. 2018;52:49. https://doi.org/10.11606/S1518-8787.2018052000290.

    Article  PubMed  PubMed Central  Google Scholar 

  89. Lovasi GS, O'Neil-Dunne JPM, Lu JWT, et al. Urban tree canopy and asthma, wheeze, rhinitis, and allergic sensitization to tree pollen in a New York City Birth Cohort. Environ Health Perspect. 2013;121(4):494–500. https://doi.org/10.1289/ehp.1205513.

    Article  PubMed  PubMed Central  Google Scholar 

  90. Churkina G, Grote R, Butler TM, Lawrence M. Natural selection? Picking the right trees for urban greening. Environ Sci Poll. 2015;47:12–7. https://doi.org/10.1016/j.envsci.2014.10.014.

    CAS  Article  Google Scholar 

  91. Henneman LRF, Shen HZ, Liu C, Hu YT, Mulholland JA, Russell AG. Responses in ozone and its production efficiency attributable to recent and future emissions changes in the Eastern United States. Environ Sci Technol. 2017;51(23):13797–805. https://doi.org/10.1021/acs.est.7b04109.

    CAS  Article  PubMed  Google Scholar 

  92. Churkina G, Kuik F, Bonn B, et al. Effect of VOC emissions from vegetation on air quality in Berlin during a heatwave. Environ Sci Technol. 2017;51(11):6120–30. https://doi.org/10.1021/acs.est.6b06514.

    CAS  Article  PubMed  Google Scholar 

  93. Fong KC, Hart JE, James P. A review of epidemiologic studies on greenness and health: updated literature through 2017. Curr Environ Health Rep. 2018;5(1):77–87. https://doi.org/10.1007/s40572-018-0179-y.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  94. Bezold CP, Banay RF, Coull BA, Hart JE, James P, Kubzansky LD, et al. The association between natural environments and depressive symptoms in adolescents living in the United States. J Adolescent Health. 2018;62(4):488–95.

    Article  Google Scholar 

  95. Kardan O, Gozdyra P, Misic B, et al. Neighborhood greenspace and health in a large urban center. Sci Rep. 2015;5:11610. https://doi.org/10.1038/srep11610.

    Article  PubMed  PubMed Central  Google Scholar 

  96. Younan D, Tuvblad C, Li L, et al. Environmental determinants of aggression in adolescents: role of urban neighborhood greenspace. J Am Acad Child Adolesc Psychiatry. 2016;55(7):591–601. https://doi.org/10.1016/j.jaac.2016.05.002.

    Article  PubMed  PubMed Central  Google Scholar 

  97. Mennis J, Mason M, Ambrus A. Urban greenspace is associated with reduced psychological stress among adolescents: a Geographic Ecological Momentary Assessment (GEMA) analysis of activity space. Landsc Urban Plan. 2018;174:1–9. https://doi.org/10.1016/j.landurbplan.2018.02.008.

    Article  PubMed  PubMed Central  Google Scholar 

  98. Lachowycz K, Jones AP, Page AS, Wheeler BW, Cooper AR. What can global positioning systems tell us about the contribution of different types of urban greenspace to children’s physical activity? Health Place. 2012;18(3):586–94. https://doi.org/10.1016/j.healthplace.2012.01.006.

    Article  PubMed  PubMed Central  Google Scholar 

  99. Ebisu K, Holford TR, Bell ML. Association between greenness, urbanicity, and birth weight. Sci Total Environ. 2016;542:750–6. https://doi.org/10.1016/j.scitotenv.2015.10.111.

    CAS  Article  PubMed  Google Scholar 

  100. James P, Banay RF, Hart JE, Laden F. A review of the health benefits of greenness. Curr Epidemiol Rep. 2015;2(2):131–42. https://doi.org/10.1007/s40471-015-0043-7.

    Article  PubMed  PubMed Central  Google Scholar 

  101. Wilhelmsen CK, Skalleberg K, Raanaas RK, Tveite H, Aamodt G. Associations between green area in school neighbourhoods and overweight and obesity among Norwegian adolescents. Prev Med Rep. 2017;7:99–105. https://doi.org/10.1016/j.pmedr.2017.05.020.

    Article  PubMed  PubMed Central  Google Scholar 

  102. Cummins S, Fagg J. Does greener mean thinner? Associations between neighbourhood greenspace and weight status among adults in England. Int J Obes. 2012;36(8):1108–13. https://doi.org/10.1038/ijo.2011.195.

    CAS  Article  Google Scholar 

  103. Wang YP, Akbari H. The effects of street tree planting on urban heat island mitigation in Montreal. Sustain Cities Soc. 2016;27:122–8. https://doi.org/10.1016/j.scs.2016.04.013.

    Article  Google Scholar 

  104. Mowafi M, Khadr Z, Bennett G, Hill A, Kawachi I, Subramanian SV. Is access to neighborhood green space associated with BMI among Egyptians? A multilevel study of Cairo neighborhoods. Health Place. 2012;18(2):385–90. https://doi.org/10.1016/j.healthplace.2011.12.002.

    Article  PubMed  Google Scholar 

  105. Pretty J, Peacock J, Sellens M, Griffin M. The mental and physical health outcomes of green exercise. Int J Environ Health Res. 2005;15(5):319–37. https://doi.org/10.1080/09603120500155963.

    Article  PubMed  Google Scholar 

  106. James P, Hart JE, Banay RF, Laden F, Signorello LB. Built environment and depression in low-income African Americans and Whites. Am J Prev Med. 2017;52(1):74–84. https://doi.org/10.1016/j.amepre.2016.08.022.

    Article  PubMed  Google Scholar 

  107. Levy JI, Buonocore JJ, von Stackelberg K. Evaluation of the public health impacts of traffic congestion: a health risk assessment. Environ Health-Glob 2010;9

  108. Sinharay R, Gong JC, Barratt B, et al. Respiratory and cardiovascular responses to walking down a traffic-polluted road compared with walking in a traffic-free area in participants aged 60 years and older with chronic lung or heart disease and age-matched healthy controls: a randomised, crossover study. Lancet. 2018;391(10118):339–49. https://doi.org/10.1016/S0140-6736(17)32643-0.

    Article  PubMed  PubMed Central  Google Scholar 

  109. Servadio JL, Convertino M. Optimal information networks: application for data-driven integrated health in populations. Sci Adv 2018;4(2)

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Acknowledgements

NSF grant 1444745 – SRN: Integrated urban infrastructure solutions for environmentally sustainable, healthy, and livable cities.

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Authors and Affiliations

  1. Division of Environmental Health Sciences, University of Minnesota School of Public Health, Minneapolis, MN, USA

    Joseph L. Servadio

  2. Schools of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA

    Abiola S. Lawal & Josephine Bates

  3. School of City and Regional Planning, Georgia Institute of Technology, Atlanta, GA, USA

    Tate Davis & Nisha Botchwey

  4. Georgia Institute of Technology College of Design, Atlanta, GA, USA

    Armistead G. Russell

  5. Humphrey School of Public Affairs, University of Minnesota, Minneapolis, MN, USA

    Anu Ramaswami

  6. Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan

    Matteo Convertino

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  1. Joseph L. Servadio
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  2. Abiola S. Lawal
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  3. Tate Davis
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  6. Anu Ramaswami
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  7. Matteo Convertino
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  8. Nisha Botchwey
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Correspondence to Nisha Botchwey.

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Servadio, J.L., Lawal, A.S., Davis, T. et al. Demographic Inequities in Health Outcomes and Air Pollution Exposure in the Atlanta Area and its Relationship to Urban Infrastructure. J Urban Health 96, 219–234 (2019). https://doi.org/10.1007/s11524-018-0318-7

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  • DOI: https://doi.org/10.1007/s11524-018-0318-7

Keywords

  • Air pollution
  • Cardiovascular disease
  • Respiratory disease
  • Inequity
  • Racial disparity
  • Infrastructure