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Light at night and lung cancer risk: A worldwide interdisciplinary and time-series study

Affiliations
  • 1Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, Guangdong 510120, China.
  • 2Department of Respiratory Disease, China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, China.
  • 3Department of Civil Engineering, University of Bristol, Bristol, BS8 1TR, UK.
  • 4Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China.
  • 5University of Chinese Academy of Sciences, Beijing 100049, China.
  • 6Nanshan School, Guangzhou Medical University, Guangzhou, Guangdong 511436, China.
  • 7State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei 430079, China.
  • 8GNSS Research Center, Wuhan University, Wuhan, Hubei 430079, China.
  • 9First Clinical School, Guangzhou Medical University, Guangzhou, Guangdong 511436, China.
  • 10Preventive Medicine and Public Health Department, University of Santiago de Compostela; CIBER de Epidemiología y Salud Pública (CIBERESP); Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Galicia 15782, Spain.
  • 11Southern Medical University, Guangzhou, Guangdong 510515, China.

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August 22, 2024

Abstract

BACKGROUND

Light at night (LAN) has become a concern in interdisciplinary research in recent years. This global interdisciplinary study aimed to explore the exposure-lag-response association between LAN exposure and lung cancer incidence.

METHODS

LAN data were obtained from the Defense Meteorological Satellite Program’s Operational Linescan System. Data of lung cancer incidence, socio-demographic index, and smoking prevalence of populations in 201 countries/territories from 1992 to 2018 were collected from the Global Burden of Disease Study. Spearman correlation tests and population-weighted linear regression analysis were used to evaluate the correlation between LAN exposure and lung cancer incidence. A distributed lag nonlinear model (DLNM) was used to assess the exposure-lag effects of LAN exposure on lung cancer incidence.

RESULTS

The Spearman correlation coefficients were 0.286-0.355 and the population-weighted linear regression correlation coefficients were 0.361-0.527. After adjustment for socio-demographic index and smoking prevalence, the Spearman correlation coefficients were 0.264-0.357 and the population-weighted linear regression correlation coefficients were 0.346-0.497. In the DLNM, the maximum relative risk was 1.04 (1.02-1.06) at LAN exposure of 8.6 with a 2.6-year lag time. After adjustment for socio-demographic index and smoking prevalence, the maximum relative risk was 1.05 (1.02-1.07) at LAN exposure of 8.6 with a 2.4-year lag time.

CONCLUSION

High LAN exposure was associated with increased lung cancer incidence, and this effect had a specific lag period. Compared with traditional individual-level studies, this group-level study provides a novel paradigm of effective, efficient, and scalable screening for risk factors.

Keywords:

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