Meta-analysis2016

Coffee and caffeine consumption and depression: A meta-analysis of observational studies

Wang L, Shen X, Wu Y, Zhang D

The Australian and New Zealand journal of psychiatry · 128 citations

Review labels

Funding not disclosed

Neutral facts our review recorded about how this study was done. They describe method, never whether we like the result.

How it was studied

Design
Meta-analysis (indexed by PubMed)
Studied in
People
Main outcome
Clinical events such as disease or death

Who paid for it

Funding
Funding not disclosed

Publication

Published
2015-09-02 · Aust N Z J Psychiatry · vol. 50 · issue 3 · pp. 228–242
Publisher
SAGE Publishing
Cited
179 citations · more than 82% of similar papers · 1.6× the field average
References
35 works
Access
Paywalled
Research areas
Coffee research and impacts · Smoking Behavior and Cessation · Tea Polyphenols and Effects
Keywords
Confidence interval, Caffeine, Depression (economics), Relative risk, Medicine, Meta-analysis, Cohort study, Observational study, Internal medicine, Demography
MeSH
humans, caffeine, depression, dose-response relationship, drug, coffee, observational studies as topic

4 authors

From CN

  • Longfei WangQingdao University
  • Xiaoli ShenQingdao University
  • Yili WuQingdao University
  • Dongfeng Zhang · correspondingQingdao University

Abstract

Objective

The results from observation studies on the relationship between coffee intake and risk of depression and the relationship between caffeine consumption and depression remain controversial. We conducted a meta-analysis with a dose-response analysis to quantitatively summarize the evidence about the association between coffee and caffeine intakes and risk of depression.

Method

Relevant articles were identified by researching PubMed, Web of Science, China National Knowledge Infrastructure and WANFANG DATA in English or Chinese from 1 January 1980 to 1 May 2015. Case-control, cohort or cross-sectional studies evaluating coffee or caffeine consumption and depression were included. A random-effects model was used to combine study-specific relative risk and 95% confidence interval. Dose-response relationship was assessed by restricted cubic spline functions.

Results

Data were obtained from 11 observation articles; 330,677 participants from seven studies in seven articles were included in the coffee-depression analysis, while 38,223 participants from eight studies in seven articles were involved in the caffeine-depression analysis. Compared with the lowest level consumption, the pooled relative risk (95% confidence interval) for coffee-depression and caffeine-depression was 0.757 [0.624, 0.917] and 0.721 [0.522, 0.997], respectively. For dose-response analysis, evidence of a linear association was found between coffee consumption and depression, and the risk of depression decreased by 8% (relative risk = 0.92, 95% confidence interval = [0.87, 0.97], p = 0.002) for each cup/day increment in coffee intake; a nonlinear association was found between caffeine consumption and depression, the risk of depression decreased faster and the association became significant when the caffeine consumption was above 68 mg/day and below 509 mg/day.

Conclusions

Coffee and caffeine consumption were significantly associated with decreased risk of depression.

Abstract via Europe PMC. Copyright remains with the authors or publisher.

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