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  • 标题:Chocolate Consumption and Risk of Coronary Heart Disease, Stroke, and Diabetes: A Meta-Analysis of Prospective Studies
  • 本地全文:下载
  • 作者:Sheng Yuan ; Xia Li ; Yalei Jin
  • 期刊名称:Nutrients
  • 电子版ISSN:2072-6643
  • 出版年度:2017
  • 卷号:9
  • 期号:7
  • 页码:688
  • DOI:10.3390/nu9070688
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:Although epidemiological studies have examined the role of chocolate in preventing cardiometabolic disease, the results remain inconsistent. Herein, we conducted a meta-analysis of prospective studies to determine the association between chocolate intake and risk of coronary heart disease (CHD), stroke, and diabetes. A systematical search in PubMed and Embase through March 2017, together with reference scrutiny of relevant literatures, was performed to identify eligible studies. Relative risks (RRs) and 95% confidence intervals (CIs) were pooled using random effect models. Fourteen prospective studies of primary prevention with 508,705 participants were finally included, with follow-up durations ranging from 5 to 16 years. The summary RRs for the highest versus lowest chocolate consumption were 0.90 (95% CI: 0.82–0.97; n = 6) for CHD, 0.84 (95% CI: 0.78–0.90; n = 7) for stroke, and 0.82 (95% CI: 0.70–0.96; n = 5) for diabetes. Dose–response meta-analysis suggested a nonlinear association of chocolate consumption with all outcomes. For both CHD and stroke, there was little additional risk reduction when consuming chocolate ≥3 servings/week (one serving was defined as 30 g of chocolate). For diabetes, the peak protective effect of chocolate emerged at 2 servings/week (RR: 0.75, 95% CI: 0.63–0.89), with no benefit observed when increasing consumption above 6 servings/week. In conclusion, chocolate intake is associated with decreased risks of CHD, stroke, and diabetes. Consuming chocolate in moderation (≤6 servings/week) may be optimal for preventing these disorders.
  • 关键词:chocolate consumption; coronary heart disease; stroke; diabetes; meta-analysis chocolate consumption ; coronary heart disease ; stroke ; diabetes ; meta-analysis
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