Background: The relationship between air pollution and meteorological factors on diseases has become a research hotspot recently. Nevertheless, few studies have touched the inferences of nitrogen dioxide (NO) and atmospheric pressure (AP) on hospitalization risk for chronic obstructive pulmonary disease (COPD).

Objectives: To investigate the short-term impact of particulate air pollutants and meteorology factors on hospitalizations for COPD and quantify the corresponding risk burden of hospital admission.

Methods: In our study, COPD cases were collected from Guangzhou Panyu Central Hospital (n = 11,979) from Dec of 2013 to Jun 2019. The 24-h average temperature, relative humidity (RH), wind speed (V), AP and other meteorological data were obtained from Guangzhou Meteorological Bureau. Air pollution data were collected from Guangzhou Air Monitoring Station. The influence of different NO and AP values on COPD risk was quantified by a distributed lag nonlinear model (DLNM) combined with Poisson Regression and Time Series analysis.

Results: We found that NO had a non-linear relationship with the incidence of COPD, with an approximate "M" type, appearing at the peaks of 126 μg/m³ (RR = 1.32, 95%CI, 1.07 to 1.64) and 168 μg/m³ (RR = 1.21, 95%CI, 0.94 to 1.55), respectively. And the association between AP and COPD incidence exhibited an approximate J-shape with a peak occurring at 1035 hPa (RR = 1.16, 95% CI, 1.02 to 1.31).

Conclusions: The nonlinear relationship of NO and AP on COPD admission risk in different periods of lag can be used to establish an early warning system for diseases and reduce the possible outbreaks and burdens of COPD in a sensitive population.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.rmed.2021.106424DOI Listing

Publication Analysis

Top Keywords

nitrogen dioxide
8
dioxide atmospheric
8
atmospheric pressure
8
pressure hospitalization
8
hospitalization risk
8
risk chronic
8
chronic obstructive
8
obstructive pulmonary
8
pulmonary disease
8
air pollution
8

Similar Publications

Photocatalytic reduction of nitrate to N holds great significance for environmental governance. However, the selectivity of nitrate reduction to N is influenced by sacrificial agents and the kinds of cocatalysts (such as Pt and Ag). The presence of unconsumed sacrificial agents can aggravate environmental pollution, while noble metal-based cocatalysts increase application costs.

View Article and Find Full Text PDF

The Ostwald process is one of the commercial pathways for the production of nitric acid (HNO), a key component in the production of nitrate fertilizers. The Ostwald process is a mature, extensively studied, and highly optimized process, and there is still room for further intensification. The process can be further intensified by catalyzing the homogeneous oxidation of nitric oxide to nitrogen dioxide.

View Article and Find Full Text PDF

Gene-environment interactions have been observed for childhood asthma, however few have been assessed in ethnically diverse populations. Thus, we examined how polygenic risk score (PRS) modifies the association between ambient air pollution exposure (nitrogen dioxide [NO], ozone, particulate matter < 2.5 and < 10 μm) and childhood asthma incidence in a diverse cohort.

View Article and Find Full Text PDF

The moderating and mediating role of the placenta in the association between prenatal exposure to air pollutants and birth weight: A twin study.

Environ Res

January 2025

Department of Epidemiology, NUTRIM School for Translational Research in Metabolism, Maastricht University Medical Centre, P.O. Box 616, 6200 MD Maastricht, The Netherlands. Electronic address:

Prenatal exposure to air pollution has been linked to lower birth weight, yet the role of the placenta in this association is often overlooked. This study investigates whether placental characteristics act as moderators or mediators in the association between prenatal exposure to particulate matter (PM) and nitrogen dioxide (NO) and birth weight in twins. The study included 3340 twins (born 2002-2013) from the East Flanders Prospective Twin Survey.

View Article and Find Full Text PDF

PNPLA3-I148M genotype is the strongest predictive single-nucleotide polymorphism for liver fat. We examine whether PNPLA3-I148M modifies associations between oxidative gaseous air pollutant exposure (O) with i) liver fat and ii) multi-omics profiles of miRNAs and metabolites linked to liver fat. Participants were 69 young adults (17-22 years) from the Meta-AIR cohort.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!