Coffee consumption and risk of stroke: a dose-response meta-analysis of prospective studies.
ABSTRACT Coffee consumption has been inconsistently associated with risk of stroke. The authors conducted a meta-analysis of prospective studies to quantitatively assess the association between coffee consumption and stroke risk. Pertinent studies were identified by searching PubMed and Embase from January 1966 through May 2011 and by reviewing the reference lists of retrieved articles. Prospective studies in which investigators reported relative risks of stroke for 3 or more categories of coffee consumption were eligible. Results from individual studies were pooled using a random-effects model. Eleven prospective studies, with 10,003 cases of stroke and 479,689 participants, met the inclusion criteria. There was some evidence of a nonlinear association between coffee consumption and risk of stroke (P for nonlinearity = 0.005). Compared with no coffee consumption, the relative risks of stroke were 0.86 (95% confidence interval (95% CI): 0.78, 0.94) for 2 cups of coffee per day, 0.83 (95% CI: 0.74, 0.92) for 3-4 cups/day, 0.87 (95% CI: 0.77, 0.97) for 6 cups/day, and 0.93 (95% CI: 0.79, 1.08) for 8 cups/day. There was marginal between-study heterogeneity among study-specific trends (I₂ = 12% and I₂ = 20% for the first and second spline transformations, respectively). Findings from this meta-analysis indicate that moderate coffee consumption may be weakly inversely associated with risk of stroke.
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ABSTRACT: Many studies have focused on the association of tea consumption and the risk and progression of prostate cancer (PCa). However, the evidence is inadequate to draw robust conclusions. To shed light on these inconclusive findings, we conducted a meta-analysis. We searched the database of PubMed and Web of Science for eligible articles. The relevant data were abstracted by two independent reviewers and performed with Stata 11.0. 21 studies were included. The pooled outcomes showed that there was a significant association between tea consumption and PCa risk (OR=0.84, 95% CI (0.71-0.98)); tea consumption could reduce PCa risk in China and India (OR=0.40 and 0.48, 95% CI (0.25-0.66) and (0.24-0.97), respectively); both green and black tea consumption showed no significant effect on PCa risk (OR=0.73 and 0.95, 95% CI (0.52-1.02) and (0.82-1.11), respectively); the highest level tea consumption showed significant protective effect on the low-grade PCa (OR=0.66, 95% CI (0.46-0.93)); no significant effect was found in both localized and advanced PCa in stage subgroup analyses (OR=1.12 and 0.85, 95% CI (0.82-1.54) and (0.62-1.16), respectively). The results show that regardless of tea type, tea consumption might be a potential protective factor for the PCa, especially in China and India. Tea consumption might be the protective factor for low-grade PCa. However, more relevant studies are needed to further explore this association.International Journal of Clinical and Experimental Medicine 01/2014; 7(11):3881-91. · 1.42 Impact Factor
Article: Gene-Coffee Interactions and Health[Show abstract] [Hide abstract]
ABSTRACT: Coffee is one of the most widely consumed beverages in the world, and has been implicated in many health conditions. Coffee is a complex exposure with pleiotropic effects, and the physiological response to coffee varies among individuals. Epidemiological studies of gene-coffee interactions may inform causality, parse the constituents of coffee responsible for disease, and identify subgroups most likely to benefit from increasing or decreasing coffee consumption. Cancers, cardiovascular disease, Parkinson’s disease, and pregnancy outcomes have been the subject of gene-coffee interaction studies and have yielded promising preliminary results. Most studies have targeted the caffeine component of coffee and have examined only a limited number of genetic variants. Depending upon the disease of study, coffee appears to exert beneficial, adverse, or no effects, which may be more pronounced when accounting for genetics. With continued investment, studies of gene-coffee interactions promise to provide the necessary foundation for personalized coffee consumption recommendations.09/2014; 3(3):178-195. DOI:10.1007/s13668-014-0087-1
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ABSTRACT: The role of Body Mass Index (BMI) for Breast Cancer (BC) remains to be great interest for a long time. However, the precise effect of nonlinear dose-response for BMI and BC risk is still unclear. We conducted a dose-response meta-analysis to quantitatively assess the effect of BMI on BC risk. Twelve prospective studies with 4,699 cases identified among 426,199 participants and 25 studies of 22,809 cases identified among 1,155,110 participants in premenopausal and postmenopausal groups, respectively, were included in this meta-analysis. Significant non-linear dose-response (P < 0.001) association was identified between BMI and BC risk in postmenopausal women. Individuals with BMI of 25, 30, and 35 kg/m(2) yielded relative risks (RRs) of 1.02 [95% confidence interval (CI): 0.98-1.06], 1.12 (95% CI: 1.01-1.24), and 1.26 (95% CI: 1.07-1.50), respectively, when compared to the mean level of the normal BMI range. However, inverse result though not significant was observed in premenopausal women. In conclusion, the results of this meta-analysis highlighted that obesity contributed to increased BC risk in a nonlinear dose-response manner in postmenopausal women, and it is important to realize that body weight control may be a crucial process to reduce BC susceptibility.Scientific Reports 12/2014; 4:7480. DOI:10.1038/srep07480 · 5.08 Impact Factor