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Poster Display session

144P - Exposure-lag response of surface net solar radiation on lung cancer incidence: A worldwide interdisciplinary and time-series study

Date

31 Mar 2023

Session

Poster Display session

Presenters

Xuanzhuang Lu

Citation

Journal of Thoracic Oncology (2023) 18 (4S): S121-S128.
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Authors

X. Lu1, R. Wang2, J. Li3, S. Lyu4, J. Zhang5, Q. Wang2, W. Chi6, R. Zhong3, C. Chen2, X. Wu2, R. Hu2, Z. You2, Y. Mai2, S. Xie2, J. Lin2, B. Zheng2, Q. Zhong2, J. He7, W. Liang3

Author affiliations

  • 1 Guangzhou/CN
  • 2 Guangzhou Medical University, Guangzhou/CN
  • 3 State Key Laboratory of Respiratory Diseases - The First Affiliated Hospital Of Guangzhou Medical University, Guangzhou/CN
  • 4 Department of Civil Engineering, University of Bristol, Bristol BS8 1TR, UK, Bristol/GB
  • 5 The University of Melbourne, Parkville/AU
  • 6 Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China, Beijing/CN
  • 7 The First Affiliated Hospital of Guangzhou Medical University, Guangzhou/CN

Resources

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Abstract 144P

Background

Recently, solar radiation (RAD) has attracted increasing attention in the effects on diseases globally. This study is the first global interdisciplinary study investigating the lag exposure-response between RAD measured by satellite and lung cancer.

Methods

The data of RAD was obtained from Google Earth Engine, which was post-processed by European Centre for Medium-Range Weather Forecasts (ECMWF). The data of lung cancer incidence, smoking prevalence and socio-demographic index (SDI) were collected from Global Burden of Disease (GBD) project. The Spearman's rank correlation tests and linear regression were conducted to explore the correlation between RAD and lung cancer incidence. A distributed lag non-linear model (DLNM) was applied to reveal the lag effects of RAD on lung cancer incidence.

Results

186 countries from 1992 to 2019 were included in this study. Lung cancer incidence ranging from 4.735 to 104.156 cases per 100,000, while RAD exposure ranging from 1291606.49 to 18440775.92 Joule per square meter monthly. After adjusted for smoking and SDI, the Spearman's correlation coefficient ranged between −0.630 and −0.581. In the DLNM for lung cancer adjusted for smoking and SDI, the maximum RR was 1.013 [95% CI (confidence interval): 1.011–1.014], occurring at RAD exposure of 12760000 with 5.8 lag years, while the minimum RR (relative risk) was 0.973 [95% CI: 0.947–0.992] occurring at RAD exposure of 12845000 with 8.0 lag years.

Conclusions

Low exposure to RAD turned out to be significant for the increment of lung cancer incidence in global population. And the protective effects of sunlight on lung cancer had a hysteresis. This study provides a potential approach to the prevention of lung cancer and is significant in epidemiological studies because it provides a new pattern to investigate more potential risk factors for diseases.

Editorial acknowledgement

The authors thank Wenhua Liang and Jianxing He for the invaluable guidance to formulate the methodology and research direction, and provided insightful feedback repeatedly to improve our abstract.

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

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