IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i3p472-d135281.html
   My bibliography  Save this article

Individual and Neighborhood Stressors, Air Pollution and Cardiovascular Disease

Author

Listed:
  • Marnie F. Hazlehurst

    (Department of Environmental & Occupational Health Sciences and Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA 98195, USA)

  • Paula S. Nurius

    (School of Social Work, University of Washington, Seattle, WA 98195, USA)

  • Anjum Hajat

    (Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA 98195, USA)

Abstract

Psychosocial and environmental stress exposures across the life course have been shown to be relevant in the development of cardiovascular disease (CVD). Assessing more than one stressor from different domains (e.g., individual and neighborhood) and across the life course moves us towards a more integrated picture of how stress affects health and well-being. Furthermore, these individual and neighborhood psychosocial stressors act on biologic pathways, including immune function and inflammatory response, which are also impacted by ubiquitous environmental exposures such as air pollution. The objective of this study is to evaluate the interaction between psychosocial stressors, at both the individual and neighborhood level, and air pollution on CVD. This study used data from the 2009–2011 Behavioral Risk Factor Surveillance System (BRFSS) from Washington State. Adverse childhood experiences (ACEs) measured at the individual level, and neighborhood deprivation index (NDI) measured at the zip code level, were the psychosocial stressors of interest. Exposures to three air pollutants—particulate matter (both PM 2.5 and PM 10 ) and nitrogen dioxide (NO 2 )—were also calculated at the zip code level. Outcome measures included several self-reported CVD-related health conditions. Both multiplicative and additive interaction quantified using the relative excess risk due to interaction (RERI), were evaluated. This study included 32,151 participants in 502 unique zip codes. Multiplicative and positive additive interactions were observed between ACEs and PM 10 for diabetes, in models adjusted for NDI. The prevalence of diabetes was 1.58 (95% CI: 1.40, 1.79) times higher among those with both high ACEs and high PM 10 compared to those with low ACEs and low PM 10 ( p -value = 0.04 for interaction on the multiplicative scale). Interaction was also observed between neighborhood-level stressors (NDI) and air pollution (NO 2 ) for the stroke and diabetes outcomes on both multiplicative and additive scales. Modest interaction was observed between NDI and air pollution, supporting prior literature on the importance of neighborhood-level stressors in cardiovascular health and reinforcing the importance of NDI on air pollution health effects. ACEs may exert health effects through selection into disadvantaged neighborhoods and more work is needed to understand the accumulation of risk in multiple domains across the life course.

Suggested Citation

  • Marnie F. Hazlehurst & Paula S. Nurius & Anjum Hajat, 2018. "Individual and Neighborhood Stressors, Air Pollution and Cardiovascular Disease," IJERPH, MDPI, vol. 15(3), pages 1-18, March.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:3:p:472-:d:135281
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/3/472/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/15/3/472/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Walsemann, Katrina M. & Goosby, Bridget J. & Farr, Deeonna, 2016. "Life course SES and cardiovascular risk: Heterogeneity across race/ethnicity and gender," Social Science & Medicine, Elsevier, vol. 152(C), pages 147-155.
    2. Schwartz, J. & Bellinger, D. & Glass, T., 2011. "Exploring potential sources of differential vulnerability and susceptibility in risk from environmental hazards to expand the scope of risk assessment," American Journal of Public Health, American Public Health Association, vol. 101(SUPPL. 1), pages 94-101.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jamie L. Humphrey & Colleen E. Reid & Ellen J. Kinnee & Laura D. Kubzansky & Lucy F. Robinson & Jane E. Clougherty, 2019. "Putting Co-Exposures on Equal Footing: An Ecological Analysis of Same-Scale Measures of Air Pollution and Social Factors on Cardiovascular Disease in New York City," IJERPH, MDPI, vol. 16(23), pages 1-19, November.
    2. Dylan B. Jackson & Alexander Testa & Krista P. Woodward & Farah Qureshi & Kyle T. Ganson & Jason M. Nagata, 2022. "Adverse Childhood Experiences and Cardiovascular Risk among Young Adults: Findings from the 2019 Behavioral Risk Factor Surveillance System," IJERPH, MDPI, vol. 19(18), pages 1-18, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Takaku, Reo, 2020. "Reversal pattern of health inequality: New evidence from a large-scale national survey in Japan," Health Policy, Elsevier, vol. 124(11), pages 1254-1262.
    2. Michael J. Blackowicz & Daniel O. Hryhorczuk & Kristin M. Rankin & Dan A. Lewis & Danish Haider & Bruce P. Lanphear & Anne Evens, 2016. "The Impact of Low-Level Lead Toxicity on School Performance among Hispanic Subgroups in the Chicago Public Schools," IJERPH, MDPI, vol. 13(8), pages 1-12, August.
    3. Davillas, Apostolos & Pudney, Stephen, 2016. "Concordance of health states in couples. Analysis of self-reported, nurse administered and blood-based biomarker data in Understanding Society," ISER Working Paper Series 2016-15, Institute for Social and Economic Research.
    4. Davillas, Apostolos & Pudney, Stephen, 2020. "Biomarkers as precursors of disability," Economics & Human Biology, Elsevier, vol. 36(C).
    5. Mary A. Fox & L. Elizabeth Brewer & Lawrence Martin, 2017. "An Overview of Literature Topics Related to Current Concepts, Methods, Tools, and Applications for Cumulative Risk Assessment (2007–2016)," IJERPH, MDPI, vol. 14(4), pages 1-28, April.
    6. Lucy Prior, 2021. "Allostatic Load and Exposure Histories of Disadvantage," IJERPH, MDPI, vol. 18(14), pages 1-17, July.
    7. Gabriele Bolte & Katharina Jacke & Katrin Groth & Ute Kraus & Lisa Dandolo & Lotta Fiedel & Malgorzata Debiak & Marike Kolossa-Gehring & Alexandra Schneider & Kerstin Palm, 2021. "Integrating Sex/Gender into Environmental Health Research: Development of a Conceptual Framework," IJERPH, MDPI, vol. 18(22), pages 1-18, November.
    8. Cha, Hyungmin, 2022. "Past, present, and future dimensions of socioeconomic status and sexual self-efficacy of young women during the transition into adulthood," Social Science & Medicine, Elsevier, vol. 306(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:3:p:472-:d:135281. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.