Tea consumption and risk of fractures: an updated meta-analysis
This meta-analysis included 16 studies, involving seven cohort studies and nine case-control studies, and the results indicated that tea consumption may be associated with a reduced the risk of fractures.
Regarding relationship of tea consumption with the risk of fractures remains controversial. We performed a meta-analysis to elucidate the association between tea consumption and the risk of fractures.
Relevant articles were identified up to March 2019 by searching PubMed, Web of Science, and Embase databases. The pooled relative risks (RRs) with 95% confidence intervals (CIs) were computed utilizing fixed or random effects model based on heterogeneity.
Altogether 16 studies (seven cohort and nine case-control studies) were included in this meta-analysis, involving 772,707 participants with 37,166 fracture cases. The RRs (95% CIs) of fracture for the highest versus lowest category of tea consumption were 0.86 (0.78–0.94). Subgroup analysis indicated significant associations in cohort studies (0.90 (0.86–0.94)) and case-control studies (0.77 (0.69–0.85)).
The current meta-analysis indicates that tea consumption may be associated with a reduced the risk of fractures.
KeywordsDose-response relationship Fracture Meta-analysis Tea
We thank the authors of the included studies for their data. We would like to thank the Natural Science Foundation of Shandong Province (grant number ZR2015HM029) and Qingdao Municipal Science and Technology Bureau (grant number 186179nsh) for funding our research.
Authorship criteria and contributions
Wenzhi Xiang and Xiubo Jiang designed the study, participated in its design and conception, analysis, and interpretation of the data, and involved in drafting the article or revising it critically for important intellectual content. Wenzhi Xiang, Kunfang Gu, and Weijing Wang performed acquisition and interpretation of the data. All authors have seen and approved the final version of the manuscript.
This study was funded by the Natural Science Foundation of Shandong Province (grant number ZR2015HM029) and Qingdao Municipal Science and Technology Bureau (grant number 186179nsh).
Compliance with ethical standards
This article does not contain any studies with human participants or animals performed by any of the authors. Informed consent was obtained from all individual participants included in the study.
Conflicts of interest
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