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文章:

不同类型睡眠障碍对结直肠癌的影响:一项全国性人群队列研究

The Effects of Different Types of Sleep Disorder on Colorectal Cancer: A Nationwide Population-Based Cohort Study

原文发布日期:26 September 2023

DOI: 10.3390/cancers15194728

类型: Article

开放获取: 是

 

英文摘要:

The impact of sleep disorders (SDs), particularly sleep apnea (SA), on the development of colorectal cancer (CRC) has been the subject of significant research. However, the potential contribution of other SDs to the incidence of CRC remains unexplored. The objective of this study was to examine the effects of SDs on the risk of developing CRC. This study assessed CRC risk among individuals diagnosed with SDs compared with age- and sex-matched unaffected individuals. A longitudinal, nationwide, population-based cohort study was conducted using data from the Taiwan National Health Insurance Research Database (NHIRD) encompassing 177,707 individuals diagnosed with SDs and 177,707 matched controls. Cox proportional hazard regression analysis was used to determine the relative increased risk of CRC in individuals with SDs and specific subgroups of SDs. The CRC incidences were 1.32-fold higher (95% CI 1.23–1.42) in the overall SD cohort, 1.17-fold higher (95% CI 0.82–1.68) in the SA cohort, 1.42-fold higher (95% CI 1.31–1.55) in the insomnia cohort, 1.27-fold higher (95% CI 1.17–1.38) in the sleep disturbance cohort, and 1.00-fold higher (95% CI 0.77–1.29) in the other SD cohort, after adjusting for age, sex, and comorbidities.

 

摘要翻译: 

睡眠障碍(SDs),特别是睡眠呼吸暂停(SA),对结直肠癌(CRC)发生发展的影响已成为重要研究课题。然而,其他睡眠障碍对结直肠癌发病率的潜在影响尚未得到探索。本研究旨在探讨睡眠障碍对结直肠癌发病风险的影响。研究通过比较确诊睡眠障碍患者与年龄、性别匹配的非患病个体,评估其结直肠癌风险。本研究采用台湾全民健康保险研究数据库(NHIRD)数据,开展了一项全国性、基于人群的纵向队列研究,共纳入177,707名确诊睡眠障碍患者及177,707名匹配对照者。通过Cox比例风险回归分析,确定睡眠障碍患者及特定睡眠障碍亚组患者结直肠癌的相对风险增加程度。在调整年龄、性别和合并症后,整体睡眠障碍队列的结直肠癌发病率增加1.32倍(95% CI 1.23–1.42),睡眠呼吸暂停队列增加1.17倍(95% CI 0.82–1.68),失眠队列增加1.42倍(95% CI 1.31–1.55),睡眠紊乱队列增加1.27倍(95% CI 1.17–1.38),其他睡眠障碍队列增加1.00倍(95% CI 0.77–1.29)。

 

原文链接:

The Effects of Different Types of Sleep Disorder on Colorectal Cancer: A Nationwide Population-Based Cohort Study

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