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Nightshift work and risk of ovarian cancer

机译:夜班工作和卵巢癌的风险

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Objectives Animal evidence suggests that circadian disruption may be associated with ovarian cancer, though very little epidemiological work has been done to assess this potential association. We evaluated the association between self-reported nightshift work, a known circadian disruptor, and ovarian cancer in a population-based case-control study. Methods The study included 1101 women with invasive epithelial ovarian cancer, 389 women with borderline epithelial ovarian tumours and 1832 controls and was conducted in western Washington state. Shift work data were collected as part of inperson interviews. Results Working the nightshift was associated with an increased risk of invasive (OR=1.24, 95% CI 1.04 to 1.49) and borderline (OR=1.48, 95% CI 1.15 to 1.90) tumours; however, we observed little evidence that risks increased with increasing cumulative duration of nightshift work, and risks were not elevated in the highest duration category (>7 nightshift work-years). Increased risks were restricted to women who were 50 years of age and older and to serous and mucinous histologies of invasive and borderline tumours. There was suggestive evidence of a decreased risk of ovarian cancer among women reporting a preference for activity during evenings rather than mornings. Conclusions We found evidence suggesting an association between shift work and ovarian cancer. This observation should be followed up in future studies incorporating detailed assessments of diurnal preference (ie, chronotype) in addition to detailed data on shift schedules.
机译:目的动物证据表明,昼夜节律紊乱可能与卵巢癌有关,尽管很少进行流行病学研究来评估这种潜在的关联。在一项基于人群的病例对照研究中,我们评估了自我报告的夜班工作,已知的昼夜节律破坏者和卵巢癌之间的关联。方法该研究在华盛顿州西部进行,包括1101例浸润性上皮性卵巢癌女性,389例边缘性上皮性卵巢癌女性和1832例对照。轮班工作数据是面对面访谈的一部分。结果夜班工作与浸润性肿瘤(OR = 1.24,95%CI 1.04至1.49)和临界(OR = 1.48,95%CI 1.15-1.90)的风险增加有关。但是,我们几乎没有观察到证据表明,夜班工作的累积时间越长,风险越大;在持续时间最长的类别(> 7个夜班工作年)中,风险并未升高。风险增加仅限于50岁及以上的女性以及侵袭性和边缘性肿瘤的浆液和粘液组织学。有提示性的证据表明,报告称在晚上而不是早上进行运动的女性中,卵巢癌风险降低。结论我们发现证据表明轮班工作与卵巢癌之间存在关联。在将来的研究中,应该对这种观察进行跟进,除了对日程安排的详细数据外,还应包括对昼夜偏好(即表型)的详细评估。

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