Meta-Analysis of the Association between Tea Intake and the Risk of Cognitive Disorders

PLoS One. 2016 Nov 8;11(11):e0165861. doi: 10.1371/journal.pone.0165861. eCollection 2016.

Abstract

Background: Alzheimer's disease is a common neurodegenerative disorder in elderly. This study was aimed to systematically evaluate the association between tea intake and the risk of cognitive disorders by meta-analysis.

Methods and findings: PubMed, Embase and Wanfang databases were systematically searched and a total of 26 observational studies were included in this study. Odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) were calculated and pooled by using fixed or random effects models according to the degree of heterogeneity.

Results: The overall pooled analysis indicated that tea intake could significantly reduce the risk of cognitive disorders (OR = 0.65, 95%CI = 0.58-0.73). Subgroup analyses were conducted based on study design, population, frequency of tea drinking and type of cognitive disorders. The results showed that tea drinking was significantly associated with the reduced incidence of cognitive disorders in all of subgroups based on study design and frequency of tea drinking. In particular, tea drinking was inversely associated with the risk of cognitive impairment (CoI), mild cognitive impairment (MCI), cognitive decline and ungrouped cognitive disorders. Moreover, for population subgroups, the significant association was only found in Chinese people.

Conclusion: Our study suggests that daily tea drinking is associated with decreased risk of CoI, MCI and cognitive decline in the elderly. However, the association between tea intake and Alzheimer's disease remains elusive.

Publication types

  • Meta-Analysis

MeSH terms

  • Alzheimer Disease / epidemiology
  • Alzheimer Disease / prevention & control
  • Cognition Disorders / epidemiology
  • Cognition Disorders / prevention & control*
  • Humans
  • Risk Factors
  • Tea*

Substances

  • Tea

Grants and funding

This research was supported by the Earmarked Fund for Modern Agro-industry Technology Research System (CARS-23), the National Natural Science Foundation of China (31470690, 31570689) and the Priority Academic Program Development of Jiangsu Higher Education Institutions. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.