4.7 Article

Residential Traffic Exposure, Pulse Pressure, and C-reactive Protein: Consistency and Contrast among Exposure Characterization Methods

Journal

ENVIRONMENTAL HEALTH PERSPECTIVES
Volume 118, Issue 6, Pages 803-811

Publisher

US DEPT HEALTH HUMAN SCIENCES PUBLIC HEALTH SCIENCE
DOI: 10.1289/ehp.0901182

Keywords

C-reactive protein; inflammation; Puerto Rican; pulse pressure; residential traffic exposure; traffic analysis zone; traffic density; traffic proximity

Funding

  1. National Institutes of Health, National Institute on Aging [5P01AG023394]
  2. Tufts University Institute for the Environment
  3. National Institute of Environmental Health Sciences (NIEHS) [ES015462]
  4. U.S. Department of Agriculture, Agricultural Research Service [58-1950-7-707]

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BACKGROUND: Traffic exposure may increase cardiovascular disease (CVD) risk via systemic inflammation and elevated blood pressure, two important clinical markers for managing disease progression. OBJECTIVES: We assessed degree and consistency of association between traffic exposure indicators as predictors of C-reactive protein (CRP) and pulse pressure (PP) in an adult U.S. Puerto Rican population (n = 1,017). METHODS: Cross-sectional information on health and demographics and blood data was collected. Using multiple linear regression, we tested for associations between CRP, PP, and six traffic exposure indicators including residential proximity to roads with > 20,000 vehicles/day and traffic density [vehicle miles traveled per square mile (VMT/mi(2))]. Diabetes and obesity [body mass index (BMI) >= 30 kg/m(2)] were tested as effect modifiers. RESULTS: CRP was positively associated with traffic density in the total population [36% CRP difference with 95% confidence interval (Cl) 2.5-81%] for residence within the highest versus lowest VMT/mi(2) level. With BMI >= 30, CRP showed significant positive associations with five of six traffic indices including residence <= 200 m versus > 200 m of a roadway [22.7% CRP difference (95% Cl, 3.15-46.1)] and traffic density in the third highest versus lowest VMT/mi(2) level [28.1% difference (95% CI, 1.0-62.6)]. PP was positively associated with residence within <= 100 m of a roadway for the total population [2.2 mmHg (95% CI, 0.13-4.3 mmHg)] and persons with BMI >= 30 [3.8 mmHg (95% CI, 0.88-6.8)]. Effect estimates approximately doubled for residence within <= 200 m of two or more roadways, particularly in persons with diabetes [8.1 mmHg (95% Cl, 2.2-14.1)]. CONCLUSIONS: Traffic exposure at roadway volumes as low as 20,000-40,000 vehicles/day may increase CVD risk through adverse effects on blood pressure and inflammation. Individuals with elevated inflammation profiles, that is, BMI >= 30, may be more susceptible to the effects of traffic exposure.

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