Does ambient particulate matter 1 increase the risk of gastric cancer in the northwest of China?

Gastric cancer (GC) remains a significant health concern in Gansu province, China, with morbidity and mortality rates surpassing national averages. Despite the recognized health risks associated with ambient particulate matter with an aerodynamic diameter <1 μm (PM1), the relationship between PM1...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of cancer Jg. 156; H. 1; S. 104 - 113
Hauptverfasser: Liu, Jie, Gan, Ting, Hu, Wenbiao, Li, Yumin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 01.01.2025
Wiley Subscription Services, Inc
Schlagworte:
Adult
Aged
Air Pollutants - adverse effects
Air Pollutants - analysis
air pollution
Air Pollution - adverse effects
arid region
Bayes Theorem
Bayesian analysis
China - epidemiology
Environmental Exposure - adverse effects
Environmental factors
Female
Gastric cancer
Generalized linear models
Humans
Incidence
Male
Middle Aged
Morbidity
Particulate matter
Particulate Matter - adverse effects
Particulate Matter - analysis
particulate matter 1 (PM1)
particulate matter 2.5 (PM2.5)
Risk assessment
Risk Factors
Stomach Neoplasms - chemically induced
Stomach Neoplasms - epidemiology
Stomach Neoplasms - etiology
China
particulate matter 1 (PM1)
air pollution
arid region
particulate matter 2.5 (PM2.5)
gastric cancer
ISSN:0020-7136, 1097-0215, 1097-0215
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Gastric cancer (GC) remains a significant health concern in Gansu province, China, with morbidity and mortality rates surpassing national averages. Despite the recognized health risks associated with ambient particulate matter with an aerodynamic diameter <1 μm (PM1), the relationship between PM1 exposure and GC incidence has not been extensively studied. Data on GC cases from 2013 to 2021 were gathered from 262 hospitals in Gansu, China. Concurrently, data on the normalized vegetation index (NDVI), gross domestic product (GDP), drinking and smoking behavioral index (DSBI), PM1, PM2.5, and PM2.5–1 were collected. Utilizing a Bayesian conditional autoregressive (CAR) combined generalized linear model (GLM) with quasi‐Poisson regression, we evaluated the impact of PM1, PM2.5, PM2.5–1, NDVI, DSBI, and GDP on GC morbidity while adjusting for potential confounders. Our analysis indicated that exposure to PM1 (μg/m3) is significantly positively correlated with GC incidence in regions with an overall age‐standardized incidence rate (ASIR) >40 (relative risks [RR]: 1.023, 95% confidence intervals [CI, 1.007, 1.039]), male ASIR >50 (RR: 1.014, 95% CI [1.009, 1.019]), and female ASIR >20 (RR: 1.010, 95% CI [1.002, 1.018]). PM2.5, PM2.5–1, DSBI, and GDP were positively correlated with GC incidence, while NDVI was negatively correlated in the study regions. Our findings provided evidence of a positive correlation between PM1 exposure and GC incidence in high‐risk areas of GC within arid regions. Further research is warranted to elucidate the complex nonlinear relationships between environmental factors and GC. These insights could inform strategies for improving the control and prevention of GC in Gansu and similar regions. What's new? Excessive air pollution is positively linked to gastric cancer (GC) risk. However, the effects of long‐term exposure to ambient particulate matter with an aerodynamic diameter <1 μm (PM1) on GC incidence remain unclear. In this study, advanced spatial statistical models were employed to investigate nonlinear relationships between PM1 exposure and GC in Gansu province in China. A statistically significant, positive correlation was found between PM1 and GC in areas of Gansu with known high GC risk. Males are potentially more susceptible to PM1 exposure effects. The findings could help guide efforts oriented toward GC prevention in high‐risk regions.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:0020-7136
1097-0215
1097-0215
DOI:10.1002/ijc.35144