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Social and Environmental Neighborhood Typologies and Lung Function in a Low-Income, Urban Population

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Listed:
  • Jamie L. Humphrey

    (Department of Mechanical Engineering, University of Colorado Boulder, 427 UCB, Boulder, CO 80309 USA)

  • Megan Lindstrom

    (Department of Geography and Division of Epidemiology, The Ohio State University, 1036 Derby Hall, 154 North Oval Mall, Columbus, OH 43210, USA)

  • Kelsey E. Barton

    (Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, 13001 E 17th Place, Campus Box B119, Aurora, CO 80045, USA)

  • Prateek Man Shrestha

    (Department of Mechanical Engineering, University of Colorado Boulder, 427 UCB, Boulder, CO 80309 USA)

  • Elizabeth J. Carlton

    (Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, 13001 E 17th Place, Campus Box B119, Aurora, CO 80045, USA)

  • John L. Adgate

    (Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, 13001 E 17th Place, Campus Box B119, Aurora, CO 80045, USA)

  • Shelly L. Miller

    (Department of Mechanical Engineering, University of Colorado Boulder, 427 UCB, Boulder, CO 80309 USA)

  • Elisabeth Dowling Root

    (Department of Geography and Division of Epidemiology, The Ohio State University, 1036 Derby Hall, 154 North Oval Mall, Columbus, OH 43210, USA)

Abstract

Consensus is growing on the need to investigate the joint impact of neighborhood-level social factors and environmental hazards on respiratory health. This study used latent profile analysis (LPA) to empirically identify distinct neighborhood subtypes according to a clustering of social factors and environmental hazards, and to examine whether those subtypes are associated with lung function. The study included 182 low-income participants who were enrolled in the Colorado Home Energy Efficiency and Respiratory Health (CHEER) study during the years 2015–2017. Distinct neighborhood typologies were identified based on analyses of 632 census tracts in the Denver-Metro and Front Range area of Colorado; neighborhood characteristics used to identify typologies included green space, traffic-related air pollution, violent and property crime, racial/ethnic composition, and socioeconomic status (SES). Generalized estimating equations were used to examine the association between neighborhood typology and lung function. We found four distinct neighborhood typologies and provide evidence that these social and environmental aspects of neighborhoods cluster along lines of advantage/disadvantage. We provide suggestive evidence of a double jeopardy situation where low-income populations living in disadvantaged neighborhoods may have decreased lung function. Using LPA with social and environmental characteristics may help to identify meaningful neighborhood subtypes and inform research on the mechanisms by which neighborhoods influence health.

Suggested Citation

  • Jamie L. Humphrey & Megan Lindstrom & Kelsey E. Barton & Prateek Man Shrestha & Elizabeth J. Carlton & John L. Adgate & Shelly L. Miller & Elisabeth Dowling Root, 2019. "Social and Environmental Neighborhood Typologies and Lung Function in a Low-Income, Urban Population," IJERPH, MDPI, vol. 16(7), pages 1-14, March.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:7:p:1133-:d:218183
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    References listed on IDEAS

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    1. Diez Roux, A.V., 2016. "Neighborhoods and health: What do we know? what should we do?," American Journal of Public Health, American Public Health Association, vol. 106(3), pages 430-431.
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    Cited by:

    1. Dirk Keidel & Josep Maria Anto & Xavier Basagaña & Roberto Bono & Emilie Burte & Anne-Elie Carsin & Bertil Forsberg & Elaine Fuertes & Bruna Galobardes & Joachim Heinrich & Kees de Hoogh & Debbie Jarv, 2019. "The Role of Socioeconomic Status in the Association of Lung Function and Air Pollution—A Pooled Analysis of Three Adult ESCAPE Cohorts," IJERPH, MDPI, vol. 16(11), pages 1-14, May.

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