Particulate Matter and Subclinical Atherosclerosis: Associations between Different Particle Sizes and Sources with Carotid Intima-Media Thickness in the SAPALDIA Study

被引:60
作者
Aguilera, Inmaculada [1 ,2 ]
Dratva, Julia [1 ,2 ]
Caviezel, Seraina [1 ,2 ]
Burdet, Luc [3 ]
de Groot, Eric [4 ,5 ]
Ducret-Stich, Regina E. [1 ,2 ]
Eeftens, Marloes [1 ,2 ]
Keidel, Dirk [1 ,2 ]
Meier, Reto [1 ,2 ]
Perez, Laura [1 ,2 ]
Rothe, Thomas [6 ]
Schaffner, Emmanuel [1 ,2 ]
Schmit-Trucksass, Arno [7 ]
Tsai, Ming-Yi [1 ,2 ,8 ]
Schindler, Christian [1 ,2 ]
Kunzli, Nino [1 ,2 ]
Probst-Hensch, Nicole [1 ,2 ]
机构
[1] Swiss Trop & Publ Hlth Inst, Basel, Switzerland
[2] Univ Basel, Basel, Switzerland
[3] Hop Intercantonal Broye, Payerne, Switzerland
[4] Imagelabonline & Cardiovasc, Eindhoven, Netherlands
[5] Imagelabonline & Cardiovasc, Lunteren, Netherlands
[6] Zurcher Hohenklin Davos, Davos, Clavadel, Switzerland
[7] Univ Basel, Div Sports & Exercise Med, Dept Sport Exercise & Hlth, Basel, Switzerland
[8] Univ Washington, Dept Environm & Occupat Hlth Sci, Seattle, WA 98195 USA
基金
英国惠康基金; 瑞士国家科学基金会;
关键词
LONG-TERM EXPOSURE; CROSS-SECTIONAL ANALYSIS; AMBIENT AIR-POLLUTION; CARDIOVASCULAR-DISEASE; LUNG-DISEASES; SWISS; VARIABILITY; ULTRASOUND; MODELS; COHORT;
D O I
10.1289/EHP161
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
BACKGROUND: Subclinical atherosclerosis has been associated with long-term exposure to particulate matter (PM), but the relevance of particle size and sources of exposure remains unclear. OBJECTIVES: We investigated the association of long-term exposure to PM10 (<= 10 mu m), PM2.5 (<= 2.5 mu m: total mass, vehicular, and crustal sources), and ultrafine particles [UFP < 0.1 mu m: particle number concentration (PNC) and lung-deposited surface area (LDSA)] with carotid intima-media thickness (CIMT). METHODS: We used data from 1,503 participants >= 50 years old who participated in the third examination of the Swiss SAPALDIA cohort. Exposures were obtained from dispersion models and land-use regression models. Covariate information, including previous cardiovascular risk factors, was obtained from the second and third SAPALDIA examinations. RESULTS: The adjusted percent difference in CIMT associated with an exposure contrast between the 10th and 90th percentile was 1.58% (95% CI: -0.30, 3.47%) for PM10, 2.10% (95% CI: 0.04, 4.16%) for PM2.5, 1.67% (95% CI: -0.13, 3.48%) for the vehicular source of PM2.5, -0.58% (95% CI: -3.95, 2.79%) for the crustal source of PM2.5, 2.06% (95% CI: 0.03, 4.10%) for PNC, and 2.32% (95% CI: 0.23, 4.40%) for LDSA. Stronger associations were observed among diabetics, subjects with low-educational level, and those at higher cardiovascular risk. CONCLUSIONS: CIMT was associated with exposure to PM10, PM2.5, and UFP. The PM2.5 source-specific analysis showed a positive association for the vehicular source but not for the crustal source. Although the effects of PNC and LDSA were similar in magnitude, two-pollutant and residual-based models suggested that LDSA may be a better marker for the health relevance of UFP.
引用
收藏
页码:1700 / 1706
页数:7
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