Hypertension, 2008; 51 (4) doi:10.1161/HYPERTENSIONAHA.107.104968
Affiliation: Brigham and Women's Hospital, United States
Sample size: 28
Abstract: Heavy alcohol intake increases the risk of hypertension, but the relationship between light-to-moderate alcohol consumption and incident hypertension remains controversial. We prospectively followed 28 848 women from the Women's Health Study and 13 455 men from the Physicians' Health Study free of baseline hypertension, cardiovascular disease, and cancer. Self-reported lifestyle and clinical risk factors were collected. In women, total alcohol intake was summed from liquor, red wine, white wine, and beer; men reported total alcohol intake from a single combined question. During 10.9 and 21.8 years of follow-up, 8680 women and 6012 men developed hypertension (defined as new physician diagnosis, antihypertensive treatment, reported systolic blood pressure >or=140 mm Hg, or diastolic blood pressure >or=90 mm Hg). In women, we found a J-shaped association between alcohol intake and hypertension in age- and lifestyle-adjusted models. Adding potential intermediates (body mass index, diabetes, and high cholesterol) attenuated the benefits of alcohol in the light-to-moderate range and strengthened the adverse effects of heavy alcohol intake. Beverage-specific relative risks paralleled those for total alcohol intake. In men, alcohol intake was positively and significantly associated with the risk of hypertension and persisted after multivariate adjustment. Models stratified by baseline systolic blood pressure (<120 versus >or=120 mm Hg) or diastolic blood pressure (<75 versus >or=75 mm Hg) did not alter the relative risks in women and men. In conclusion, light-to-moderate alcohol consumption decreased hypertension risk in women and increased risk in men. The threshold above which alcohol became deleterious for hypertension risk emerged at >or=4 drinks per day in women versus a moderate level of >or=1 drink per day in men.
The top research papers for the subject are placed on the map. Studies form clusters based on semantic relation.
Size of the point represents relevance of the paper.
You can pan and zoom the graph using mouse and mouse wheel.
Right click on the paper to:
Left click on keyword to add it to search.
Sign up to create your own map!
Discover the real face of Life Sciences.
Explore the Life Sciences from Big Data point of view.