1. Nightshift work and risk of ovarian cancer.
- Author
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Bhatti P, Cushing-Haugen KL, Wicklund KG, Doherty JA, and Rossing MA
- Subjects
- Adult, Age Factors, Aged, Carcinoma, Ovarian Epithelial, Case-Control Studies, Confidence Intervals, Female, Humans, Middle Aged, Neoplasms, Glandular and Epithelial pathology, Odds Ratio, Ovarian Neoplasms pathology, Risk Factors, Self Report, Time Factors, Washington, Chronobiology Disorders complications, Circadian Rhythm, Neoplasms, Glandular and Epithelial etiology, Occupational Exposure adverse effects, Ovarian Neoplasms etiology, Work Schedule Tolerance
- Abstract
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.
- Published
- 2013
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