Skip Navigation
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

National Institute of Environmental Health Sciences

Use this QR code to view the newest version of this document
Use this QR code to view the newest version of this document

Your Environment. Your Health.

Publication Detail

Title: Air pollution-associated changes in biomarkers of diabetes risk.

Authors: Holliday, Katelyn M; Lamichhane, Archana P; Gondalia, Rahul; Stewart, James D; Madrigano, Jaime; Shih, Regina A; Yanosky, Jeff D; Liao, Duanping; Wellenius, Gregory A; Whitsel, Eric A

Published In Environ Epidemiol, (2019 Aug)

Abstract: BACKGROUND: Ambient particulate matter (PM) and nitrogen oxide (NOx) air pollution may be diabetogenic. OBJECTIVE: To examine longitudinal associations of short- and longer-term mean PM ≤10 μm (PM10), PM ≤2.5 μm (PM2.5), and NOx concentrations with five biomarkers of diabetes risk. METHODS: We studied a stratified, random minority oversample of nondiabetic Women's Health Initiative clinical trials participants with biomarkers and geocoded participant address-specific mean air pollution concentrations available at repeated visits (years = 1993-2004; n = 3,915; mean age = 62.7 years; 84% white). We log-transformed the biomarkers, then used multi-level, mixed-effects, longitudinal models weighted for sampling design/attrition and adjusted for sociodemographic, clinical, and meteorological covariates to estimate their associations with air pollutants. RESULTS: Biomarkers exhibited null to suggestively negative associations with short- and longer-term PM10 and NOx concentrations, e.g., -3.1% (-6.1%, 0.1%), lower homeostatic model assessment of insulin resistance per 10 μg/m3 increase in 12-month PM10. A statistically significant interaction by impaired fasting glucose (IFG) at baseline in this analysis indicated potentially adverse effects only among women with versus without IFG, i.e., 1.4% (-3.5%, 6.5%) versus -4.6% (-7.9%, -1.1%), P interaction < 0.05. In contrast, longer-term PM2.5 concentrations were largely but not statistically significantly associated with higher biomarkers. CONCLUSIONS: Low-level short-term PM10 and NOx concentrations may have negligible adverse effects on biomarkers of diabetes risk. Although longer-term mean PM2.5 concentrations showed primarily null associations with these biomarkers, results suggestively indicated that PM2.5 exposure over the range of concentrations experienced in the United States may adversely affect biomarkers of diabetes risk at the population level, as may longer-term mean PM10 concentrations among women with IFG.

PubMed ID: 31538138 Exiting the NIEHS site

MeSH Terms: No MeSH terms associated with this publication

Back
to Top