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Coffee Consumption and Incidence of Subarachnoid Hemorrhage: The Jichi Medical School Cohort Study
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- Sakamaki Tsuyako
- Graduate School of Saitama Prefectural University
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- Hara Motohiko
- Graduate School of Saitama Prefectural University
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- Kayaba Kazunori
- Graduate School of Saitama Prefectural University
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- Kotani Kazuhiko
- Department of Clinical Laboratory Medicine, Department of Public Health, Jichi Medical University
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- Ishikawa Shizukiyo
- Division of Community and Family Medicine, Center for Community Medicine, Jichi Medical University and The Jichi Medical School Cohort Study Group
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Description
Background: Previous studies on the association between coffee consumption and subarachnoid hemorrhage (SAH) have provided inconsistent results. We examine the risk of SAH from coffee consumption in a Japanese population.<BR>Methods: Our analyses were based on the Jichi Medical School Cohort Study, a large-scale population-based prospective cohort study. A total of 9941 participants (3868 men and 6073 women; mean age 55 years) with no history of cardiovascular disease or carcinoma were examined. Participants were asked to choose one of five options to indicate their daily coffee consumption: none, less than 1 cup a day, 1–2 cups a day, 3–4 cups a day, or 5 or more cups a day. The incidence of SAH was assessed independently by a diagnostic committee. Cox proportional hazards models were used to calculate hazard ratios (HRs) and their 95% confidence intervals (CI) after adjustment for age and sex (HR1) and for additional potential confounders (HR2).<BR>Results: During 10.7 years of follow-up, SAH occurred in 47 participants. When compared with the participants who consumed less than 1 cup of coffee a day, the HR of SAH was significantly higher in the group who consumed 5 or more cups a day in both models (HR1 4.49; 95% CI, 1.44–14.00; HR2 3.79; 95% CI, 1.19–12.05).<BR>Conclusions: The present community-based cohort study showed that heavy coffee consumption was associated with an increased incidence of SAH after adjusting for age, sex, and multiple potential cardiovascular confounders.
Journal
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- Journal of Epidemiology
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Journal of Epidemiology 26 (2), 71-75, 2016
Japan Epidemiological Association