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Environmental conditions in low-income urban housing: Clustering and associations with self-reported health

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Listed:
  • Adamkiewicz, G.
  • Spengler, J.D.
  • Harley, A.E.
  • Stoddard, A.
  • Yang, M.
  • Alvarez-Reeves, M.
  • Sorensen, G.

Abstract

Objectives. We explored prevalence and clustering of key environmental conditions in low-income housing and associations with self-reported health. Methods. The Health in Common Study, conducted between 2005 and 2009, recruited participants (n = 828) from 20 low-income housing developments in the Boston area. We interviewed 1 participant per household and conducted a brief inspection of the unit (apartment). We created binary indexes and a summed index for household exposures: mold, combustion by-products, secondhand smoke, chemicals, pests, and inadequate ventilation. We used multivariable logistic regression to examine the associations between each index and household characteristics and between each index and self-reported health. Results. Environmental problems were common; more than half of homes had 3 or more exposure-related problems (median summed index = 3). After adjustment for household-level demographics, we found clustering of problems in site (P

Suggested Citation

  • Adamkiewicz, G. & Spengler, J.D. & Harley, A.E. & Stoddard, A. & Yang, M. & Alvarez-Reeves, M. & Sorensen, G., 2014. "Environmental conditions in low-income urban housing: Clustering and associations with self-reported health," American Journal of Public Health, American Public Health Association, vol. 104(9), pages 1650-1656.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2013.301253_8
    DOI: 10.2105/AJPH.2013.301253
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    Cited by:

    1. Jangho Lee & Michael Hu, 2024. "Effect of Environmental and Socioeconomic Factors on Increased Early Childhood Blood Lead Levels: A Case Study in Chicago," IJERPH, MDPI, vol. 21(4), pages 1-15, March.
    2. Sabrina Sales Martinez & Margaret Gutierrez & Ivan Delgado-Enciso & Jezabel Maisonet & Aydevis Jean Pierre & Adriana Campa & Laura Kallus & Janet Diaz Martinez, 2022. "Economic and Cardiometabolic Risk Factors Are Predictors of Lower Thyroid Stimulating Hormone (TSH) Levels in Hispanic/Latinx Adults with Euthyroidism—A Community-Based Study," IJERPH, MDPI, vol. 19(13), pages 1-11, July.
    3. Amy J. Schulz & Graciela B. Mentz & Natalie Sampson & Melanie Ward & J. Timothy Dvonch & Ricardo De Majo & Barbara A. Israel & Angela G. Reyes & Donele Wilkins, 2018. "Independent and Joint Contributions of Fine Particulate Matter Exposure and Population Vulnerability to Mortality in the Detroit Metropolitan Area," IJERPH, MDPI, vol. 15(6), pages 1-15, June.
    4. Aubree Driver & Crystal Mehdizadeh & Samuel Bara-Garcia & Coline Bodenreider & Jessica Lewis & Sacoby Wilson, 2019. "Utilization of the Maryland Environmental Justice Screening Tool: A Bladensburg, Maryland Case Study," IJERPH, MDPI, vol. 16(3), pages 1-21, January.
    5. Hirou Karimi & Mohammad Anvar Adibhesami & Hassan Bazazzadeh & Sahar Movafagh, 2023. "Green Buildings: Human-Centered and Energy Efficiency Optimization Strategies," Energies, MDPI, vol. 16(9), pages 1-17, April.
    6. Swope, Carolyn B. & Hernández, Diana, 2019. "Housing as a determinant of health equity: A conceptual model," Social Science & Medicine, Elsevier, vol. 243(C).
    7. Katharine Robb & Ashley Marcoux & Jorrit de Jong, 2021. "Further Inspection: Integrating Housing Code Enforcement and Social Services to Improve Community Health," IJERPH, MDPI, vol. 18(22), pages 1-13, November.
    8. Yangyang Fan & Liangdong Lu & Jia Xu & Fenge Wang & Fei Wang, 2022. "Air Pollution Control and Public Health Risk Perception: Evidence from the Perspectives of Signal and Implementation Effects," IJERPH, MDPI, vol. 19(5), pages 1-15, March.

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