Yelin Shao, Wenyuan Li, Chi Pang Wen, Min Yang, Xian Ning, Kejia Hu, Xifeng Wu
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引用次数: 0
Abstract
Objectives
To investigate the associations of changes in lipidemic profile with the risk of lung cancer incidence, and to elucidate how modifiable risk factors contribute to the associations.
Design and participants
The prospective study enrolled a cohort of 137,075 individuals with lipidemic profiles spanning from January 1, 1996 to December 31, 2006 in the Taiwan MJ Cohort. Follow-up was extended from the second clinical visit until December 31, 2007, with an average duration of 6.3 years. Participants was divided into four groups based on alterations in their lipidemic profile within a 1–3 year interval subsequent to initial enrollment. The associations of changes in lipidemic profiles with the incidence of lung cancer were assessed with Cox proportional hazard models. Associations between modifiable risk factors and lipidemic profile changes were evaluated using multivariable logistic regression models.
Results
Of 137,075 participants with lipidemic profile, progression to dyslipidemia within a 3-year period was associated with elevated risks of lung cancer incidence (hazard ratio [HR] = 1.46; 95% CI: 1.01, 2.10) in comparison to persistent normolipidemic. However, reversion to normolipidemic did not contribute to a decreased lung cancer incidence risk (HR = 1.10; 95% CI: 0.74, 1.63), in comparison to persistent dyslipidemia. Body mass index and smoking as risk factors, along with physical activity as a protective factor, were associated with changes in lipidemic profile.
Conclusions
Within this large-scale cohort, progression to dyslipidemia emerged as a risk factor for lung cancer incidence, highlighting the significance of lipid control. The modifiable risk factors associated with dyslipidemia progression encompassed body mass index, physical activity, and smoking status, suggesting potential interventions targets.
期刊介绍:
The European Journal of Epidemiology, established in 1985, is a peer-reviewed publication that provides a platform for discussions on epidemiology in its broadest sense. It covers various aspects of epidemiologic research and statistical methods. The journal facilitates communication between researchers, educators, and practitioners in epidemiology, including those in clinical and community medicine. Contributions from diverse fields such as public health, preventive medicine, clinical medicine, health economics, and computational biology and data science, in relation to health and disease, are encouraged. While accepting submissions from all over the world, the journal particularly emphasizes European topics relevant to epidemiology. The published articles consist of empirical research findings, developments in methodology, and opinion pieces.