Association of coffee drinking with all-cause mortality
A systematic review and meta-analysis
Bibliographic Data
| ID | 15091199 |
|---|---|
| Authors | Yimin Zhao (0000-0002-7174-2461), Kejian Wu, Jusheng Zheng, Ruiting Zuo, Duo Li (0000-0002-2467-1250) |
| Year | 2015 |
| Volume | 18 |
| Issue | 7 |
| Pages | 1282-1291 |
| Publication date | 2015-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Public Health Nutrition (JOURNAL) |
| Journal identifiers | ISSN: 1368-9800 • E-ISSN: 1475-2727 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s1368980014001438 |
| PMID | 25089347 |
| Language | EN |
| References cited | 57 |
Objective We aimed to use the meta-analysis method to assess the relationship between coffee drinking and all-cause mortality. Design Categorical and dose–response meta-analyses were conducted using random-effects models. Setting We systematically searched and identified eligible literature in the PubMed and Scopus databases. Subjects Seventeen studies including 1 054 571 participants and 131 212 death events from all causes were included in the present study. Results Seventeen studies were included and evaluated in the meta-analysis. A U-shaped dose–response relationship was found between coffee consumption and all-cause mortality ( P for non-linearity Conclusions The present meta-analysis of prospective cohort studies indicated that light to moderate coffee intake is associated with a reduced risk of death from all causes, particularly in women
Regression Modeling Strategies
Health behaviours as explanations for educational level differences in cardiovascular and all-cause mortality
Meta-analysis in clinical trials
Operating Characteristics of a Rank Correlation Test for Publication Bias
Bias in meta-analysis detected by a simple, graphical test
Quantifying heterogeneity in a meta‐analysis
Coffee and tea consumption in the Scottish Heart Health Study follow up
| Highly cited | No |
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