2016
DOI: 10.1016/j.ijheh.2015.12.002
|View full text |Cite
|
Sign up to set email alerts
|

Association of exposure to particulate matter (PM2.5) air pollution and biomarkers of cardiovascular disease risk in adult NHANES participants (2001–2008)

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
51
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 95 publications
(52 citation statements)
references
References 29 publications
1
51
0
Order By: Relevance
“…Because each air pollutants have high correlation (3), we also applied multi-pollutant models in the analysis; Model 1 controlled sociodemographic factors, and Model 2 controlled sociodemographic, clinical factors as covariates. Moreover, we analyzed associations between air pollution factors and the presence of pterygium with two different ways: 1) a model using average concentrations for previous 2 years before the ocular examination; and 2) distributed lag models using annual average concentrations by up to lagged 2 years before the ocular examination (year lag 0 through year lag 2), to account for the cumulative and/or delayed effects of environmental exposures (111213). Primary pterygium was also analyzed according to aforementioned statistical methods (n = 22,216).…”
Section: Methodsmentioning
confidence: 99%
“…Because each air pollutants have high correlation (3), we also applied multi-pollutant models in the analysis; Model 1 controlled sociodemographic factors, and Model 2 controlled sociodemographic, clinical factors as covariates. Moreover, we analyzed associations between air pollution factors and the presence of pterygium with two different ways: 1) a model using average concentrations for previous 2 years before the ocular examination; and 2) distributed lag models using annual average concentrations by up to lagged 2 years before the ocular examination (year lag 0 through year lag 2), to account for the cumulative and/or delayed effects of environmental exposures (111213). Primary pterygium was also analyzed according to aforementioned statistical methods (n = 22,216).…”
Section: Methodsmentioning
confidence: 99%
“…Accumulation of β2-microglobulin may be due to decreased removal and intra-dialytic production by the reactive inflammation by bio-incompatible artificial kidney membranes [2]. Air pollution levels, especially particulate matter with an aerodynamic diameter of <2.5 mm (PM 2.5), are significantly associated with elevation of systemic inflammatory markers [3-5]. We have previously showed that air pollution was significantly associated with arterial stiffness, systemic inflammation, infection, secondary hyperparathyroidism, and even mortality in MHD patients [6-10].…”
Section: Introductionmentioning
confidence: 99%
“…Most diseases, including angiocardiopathy, are associated with acute or chronic exposure to air pollution [46-49]. The effect of atmospheric particulate matter (PM 2.5 ) on extrapulmonary organs has received attention in recent years, and considerable numbers of epidemiological studies have confirmed that PM 2.5 can increase the morbidity and mortality from cardiovascular disease and lung disease in aging populations [1]. Inhaled PM 2.5 can be deposited in the alveoli, and particles with sizes < 0.1 µm can enter the blood circulation [1].…”
Section: Discussionmentioning
confidence: 99%
“…The effect of atmospheric particulate matter (PM 2.5 ) on extrapulmonary organs has received attention in recent years, and considerable numbers of epidemiological studies have confirmed that PM 2.5 can increase the morbidity and mortality from cardiovascular disease and lung disease in aging populations [1]. Inhaled PM 2.5 can be deposited in the alveoli, and particles with sizes < 0.1 µm can enter the blood circulation [1]. The human health hazards of atmospheric PM 2.5 are closely associated with the particulate characteristics and pollution levels.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation