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

• Main Authors: Jamie L. Humphrey, Megan Lindstrom, Kelsey E. Barton, Prateek Man Shrestha, Elizabeth J. Carlton, John L. Adgate, Shelly L. Miller, Elisabeth Dowling Root
• Format: Article
• Language: English
• Published: MDPI AG 2019-03-01
• Series: International Journal of Environmental Research and Public Health
• Subjects: social and environmental determinants of health; neighborhoods and health; latent profile analysis
• Online Access: https://www.mdpi.com/1660-4601/16/7/1133

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.