2型糖尿病
危险系数
医学
前瞻性队列研究
置信区间
入射(几何)
生命银行
比例危险模型
混淆
糖尿病
队列研究
内科学
人口学
内分泌学
生物信息学
生物
物理
社会学
光学
作者
Cheng Wang,Yang Zhao,Qianqi Hong,Yating Lei,Shengyuan Wang,Weiqi Wang,Wei Wei,Changhao Sun,Tianshu Han
标识
DOI:10.1016/j.envres.2023.118070
摘要
Type 2 diabetes (T2D) is the most common type of diabetes. However, research on the relationship between blue light exposure and diabetes development is limited. The present study aimed to investigate the relationship between blue light exposure and T2D incidence and whether it is affected by sleep duration, physical activity, outdoor activity time, and genetic susceptibility. A total of 471,686 participants without diabetes were recruited from the UK Biobank cohort. T2D incidence was assessed using hospital inpatient records. Blue light exposure was calculated based on the time spent watching TV, using a computer, and playing computer games, which was determined using an online questionnaire. Cox proportional hazards regression models were used to assess the survival relationship between blue light exposure and T2D, as well as the potential modification effects. A total of 18,738 cases of T2D were documented during the median follow-up of 13.04 years. After adjusting for potential confounders, the participants with heavy blue light exposure had a greater risk of T2D compared to those with mild blue light exposure (hazard ratio (HR) = 1.17, 95% confidence interval (CI): 1.12–1.23). A significant association between blue light exposure and T2D risk was observed among the participants with heavy physical activity (HR = 1.39, 95%CI: 1.25–1.55), healthy sleep habits (HR = 1.23, 95%CI: 1.10–1.36), higher outdoor activity time (HR = 1.14, 95%CI: 1.07–1.22), or high genetic susceptibility (HR = 1.24, 95%CI: 1.14–1.35). However, this association became non-significant among the participants with low genetic susceptibility (HR = 1.05, 95%CI: 0.97–1.15). The present study showed that blue light exposure is associated with a greater risk of T2D independent of classical T2D risk factors.
科研通智能强力驱动
Strongly Powered by AbleSci AI