PMID- 23232970
OWN - NLM
STAT- MEDLINE
DCOM- 20131021
LR  - 20220330
IS  - 1559-064X (Electronic)
IS  - 1559-0631 (Print)
IS  - 1559-0631 (Linking)
VI  - 23
IP  - 3
DP  - 2013 May-Jun
TI  - Structural equation modeling of the inflammatory response to traffic air 
      pollution.
PG  - 268-74
LID - 10.1038/jes.2012.106 [doi]
AB  - Several epidemiological studies have reported conflicting results on the effect 
      of traffic-related pollutants on markers of inflammation. In a Bayesian 
      framework, we examined the effect of traffic pollution on inflammation using 
      structural equation models (SEMs). We studied measurements of C-reactive protein 
      (CRP), soluble vascular cell adhesion molecule-1 (sVCAM-1), and soluble 
      intracellular adhesion molecule-1 (sICAM-1) for 749 elderly men from the 
      Normative Aging Study. Using repeated measures SEMs, we fit a latent variable for 
      traffic pollution that is reflected by levels of black carbon, carbon monoxide, 
      nitrogen monoxide and nitrogen dioxide to estimate its effect on a latent 
      variable for inflammation that included sICAM-1, sVCAM-1 and CRP. Exposure 
      periods were assessed using 1-, 2-, 3-, 7-, 14- and 30-day moving averages 
      previsit. We compared our findings using SEMs with those obtained using linear 
      mixed models. Traffic pollution was related to increased inflammation for 3-, 7-, 
      14- and 30-day exposure periods. An inter-quartile range increase in traffic 
      pollution was associated with a 2.3% (95% posterior interval (PI): 0.0-4.7%) 
      increase in inflammation for the 3-day moving average, with the most significant 
      association observed for the 30-day moving average (23.9%; 95% PI: 13.9-36.7%). 
      Traffic pollution adversely impacts inflammation in the elderly. SEMs in a 
      Bayesian framework can comprehensively incorporate multiple pollutants and health 
      outcomes simultaneously in air pollution-cardiovascular epidemiological studies.
FAU - Baja, Emmanuel S
AU  - Baja ES
AD  - Department of Environmental Health, Harvard School of Public Health, Boston, MA, 
      USA. ebaja@hsph.harvard.edu
FAU - Schwartz, Joel D
AU  - Schwartz JD
FAU - Coull, Brent A
AU  - Coull BA
FAU - Wellenius, Gregory A
AU  - Wellenius GA
FAU - Vokonas, Pantel S
AU  - Vokonas PS
FAU - Suh, Helen H
AU  - Suh HH
LA  - eng
GR  - R01 ES015172/ES/NIEHS NIH HHS/United States
GR  - P01 ES009825/ES/NIEHS NIH HHS/United States
GR  - R00 ES015774/ES/NIEHS NIH HHS/United States
GR  - ES-015172/ES/NIEHS NIH HHS/United States
GR  - P01ES09825/ES/NIEHS NIH HHS/United States
GR  - ES014663-01A2/ES/NIEHS NIH HHS/United States
GR  - ES015774/ES/NIEHS NIH HHS/United States
GR  - R01 ES014663/ES/NIEHS NIH HHS/United States
GR  - K99 ES015774/ES/NIEHS NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, U.S. Gov't, Non-P.H.S.
DEP - 20121212
PL  - United States
TA  - J Expo Sci Environ Epidemiol
JT  - Journal of exposure science & environmental epidemiology
JID - 101262796
RN  - 0 (Air Pollutants)
RN  - 0 (Vehicle Emissions)
SB  - IM
EIN - J Expo Sci Environ Epidemiol. 2014 Mar-Apr;24(2):222. Wellenuis, Gregory A 
      [corrected to Wellenius, Gregory A]
MH  - Air Pollutants/*toxicity
MH  - Humans
MH  - Inflammation/*physiopathology
MH  - Longitudinal Studies
MH  - *Models, Theoretical
MH  - *Vehicle Emissions
PMC - PMC4648554
MID - NIHMS730350
EDAT- 2012/12/13 06:00
MHDA- 2013/10/22 06:00
PMCR- 2015/11/17
CRDT- 2012/12/13 06:00
PHST- 2012/12/13 06:00 [entrez]
PHST- 2012/12/13 06:00 [pubmed]
PHST- 2013/10/22 06:00 [medline]
PHST- 2015/11/17 00:00 [pmc-release]
AID - jes2012106 [pii]
AID - 10.1038/jes.2012.106 [doi]
PST - ppublish
SO  - J Expo Sci Environ Epidemiol. 2013 May-Jun;23(3):268-74. doi: 
      10.1038/jes.2012.106. Epub 2012 Dec 12.