近期，来自广州医科大学附属第一医院胸外和肿瘤科的梁文华教授等在新刊《Chinese Medical Journal Pulmonary and Critical Care Medicine》上发表了题为“Light at night and lung cancer risk: A worldwide interdisciplinary and time-series study”的论著文章，内容精彩，值得一读。摘要如下：
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.
摘要的中文翻译如下：
背景 近年来，夜间光照（LAN）已成为跨学科研究的一个关注点。这项全球跨学科研究旨在探索LAN暴露与肺癌发病率之间的暴露-滞后-反应关系。
方法 LAN数据是从国家气象卫星计划的日常线扫描系统获得的。从全球疾病负担研究中收集了1992年至2018年201个国家/地区的肺癌发病率、社会人口统计指数和人口吸烟率的数据。Spearman相关检验和人群加权线性回归分析用于评估LAN暴露与肺癌发病率之间的相关性。分布式滞后非线性模型（DLNM）用于评估LAN暴露对肺癌发病率的暴露滞后效应。
结果 Spearman相关系数为0.286–0.355，人口加权线性回归相关系数为0.361–0.527。在对社会人口指数和吸烟率进行校正后，Spearman相关系数为0.264–0.357，人口加权线性回归相关系数为0.346–0.497。在DLNM中，LAN暴露为8.6且滞后时间为2.6年时，最大相对风险为1.04（1.02-1.06）。在对社会人口指数和吸烟率进行校正后，LAN暴露为8.6且滞后时间为2.4年时，最大相对风险为1.05（1.02-1.07）。
结论 高LAN暴露与肺癌发病率增加有关，这种影响有一个特定的滞后期。与传统的个体水平研究相比，这项群体水平研究提供了一种有效、高效和可扩展的风险因素筛查的新范式。
精彩插图：
全文链接：
https://www.sciencedirect.com/science/article/pii/S2772558824000057
Cite this article:
Wang R, Wang Q, Li J, et al.Light at night and lung cancer risk: A worldwide interdisciplinary and time-series study. Chin Med J Pulm Crit Care Med. 2024;2(1):56-62.