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Does tea consumption correlate to risk of fracture? A meta-analysis

机译:饮茶是否与骨折风险相关?荟萃分析

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摘要

Fractures are important causes of healthy damage and economic loss nowadays. The conclusions of observational studies on tea consumption and fracture risk are still inconsistent. The objective of this meta-analysis is to determine the effect of tea drinking on the risk of fractures. In this study, a comprehensive literature search was conducted in Pubmed, Embase and reference lists of the relevant articles. Observational studies that reported an estimate of the association between tea drinking and incidence of fractures were included. A meta-analysis was conducted by the STATA software. The results indicated that a total of 9 studies involving 147,950 individuals that examined the association between tea consumption and risk of fractures were included in this meta-analysis. The odds ratios (ORs) with 95% confidence intervals (CIs) were pooled using a random-effects model. The pooled OR of 9 observational studies for the tea consumption on risk of fracture was 0.89 (95% CI, 0.78-1.04). In the subgroup analyses, no significant association was detected in neither cohort studies (n = 3; OR, 0.97; 95% CI, 0.89-1.06) nor case-control studies (n = 6; OR, 0.91; 95% CI, 0.70-1.19), respectively. Because of the varied and limited data of the included studies, we are not able to conduct the dose-response meta-analysis. In conclusion, tea consumption might be not associated with the risk of fractures. The following large-sample and well-designed studies are required to confirm the existing conclusions.
机译:骨折是当今健康损害和经济损失的重要原因。关于食用茶量和骨折风险的观察性研究的结论仍然不一致。这项荟萃分析的目的是确定饮茶对骨折风险的影响。在这项研究中,在Pubmed,Embase和相关文章的参考文献清单中进行了全面的文献检索。观察性研究报告了对饮茶与骨折发生率之间关系的估计。通过STATA软件进行荟萃分析。结果表明,这项荟萃分析共包括9项研究,涉及147,950名个体,这些个体研究了茶消费与骨折风险之间的关系。使用随机效应模型合并具有95%置信区间(CI)的比值比(OR)。 9项观察茶的破裂风险汇总研究的OR为0.89(95%CI,0.78-1.04)。在亚组分析中,在队列研究(n = 3; OR,0.97; 95%CI,0.89-1.06)和病例对照研究(n = 6; OR,0.91; 95%CI,0.70)中均未发现显着相关性。 -1.19)。由于纳入研究的数据多种多样且有限,因此我们无法进行剂量反应荟萃分析。总之,喝茶可能与骨折风险无关。需要进行以下大样本和精心设计的研究来确认现有结论。

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