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Investigation on the incidence and risk factors of lung cancer among Chinese hospital employees.

Authors :
Chen, Zi‐Hao
Chen, Zhi‐Yong
Kang, Jing
Chu, Xiang‐Peng
Fu, Rui
Zhang, Jia‐Tao
Qi, Yi‐Fan
Chen, Jing‐Hua
Lin, Jun‐Tao
Jiang, Ben‐Yuan
Yang, Xue‐Ning
Wu, Yi‐Long
Zhong, Wen‐Zhao
Nie, Qiang
Source :
Thoracic Cancer. Aug2022, Vol. 13 Issue 15, p2210-2222. 13p.
Publication Year :
2022

Abstract

Objective: In recent years, the lung cancer incidence has grown and the population is younger. We intend to find out the true detection rate of pulmonary nodules and the incidence of lung cancer in the population and search for the risk factors. Method: Hospital employees ≥40 years old who underwent low‐dose computed tomography (CT) lung cancer screening from January 2019 to March 2022 were selected to record CT‐imaging characteristics, pathology, staging, and questionnaires to investigate past history, smoking history, diet, mental health, etc. PM2.5 and radiation intake in radiation‐related occupation received monitoring in hospital. Result: The detection rate of suspicious pulmonary nodules was 9.1% (233/2552), and the incidence rate of lung cancer (including adenocarcinoma in situ) was 4.0% (103/2552). Morbidity among doctors, nurses, technicians, administers, and logistics was no difference (p = 0.184), but higher in women than in men (4.7% vs 2.4% p = 0.002). The invasiveness increased with age and CT density of nodules (p = 0.018). The relationship between lung cancer morbidity and PM2.5 was not clear (p = 0.543); and no lung cancer has been found in employees related ionizing radiation. Conclusion: The high screening rate has brought about a high incidence of lung cancer. At present, the risk factor analysis of lung cancer based on small samples cannot find the direct cause. Most of the ground glass opacity (GGO)s detected by LDCT screening are indolent, but there are also rapidly progressive lung cancer. A predictive model to identify active and indolent GGO is necessary. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17597706
Volume :
13
Issue :
15
Database :
Academic Search Index
Journal :
Thoracic Cancer
Publication Type :
Academic Journal
Accession number :
158341543
Full Text :
https://doi.org/10.1111/1759-7714.14549