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

Background Light at night (LAN) has become a concern in interdisciplinary research in recent years. This global interdisciplinary study 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 0.24–0.57 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.