Evidence map›Paper›PMID 25367317›Full record

ArticleEuropean journal of nutrition2015

Association of daily coffee and tea consumption and metabolic syndrome: results from the Polish arm of the HAPIEE study.

Giuseppe Grosso, Urszula Stepaniak, Agnieszka Micek, Roman Topor-Mądry, Hynek Pikhart, Krystyna Szafraniec, Andrzej Pająk

Open access · hybridAbstract read
In one paragraph

Article in European journal of nutrition, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 6 pooled it
10.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 6 syntheses or guidelines pooled it, 140 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 3 countries.

Giuseppe GrossoDepartment of Clinical and Molecular Biomedicine, Section of Pharmacology and Biochemistry, University of Catania, V.le A. Doria 6, 95125, Catania, Italy. giuseppe.grosso@studium.unict.it.
Urszula StepaniakDepartment of Epidemiology and Population Studies, Jagiellonian University Medical College, Kraków, Poland.
Agnieszka MicekDepartment of Epidemiology and Population Studies, Jagiellonian University Medical College, Kraków, Poland.
Roman Topor-MądryDepartment of Epidemiology and Population Studies, Jagiellonian University Medical College, Kraków, Poland.
Hynek PikhartDepartment of Epidemiology and Public Health, University College London, London, UK.
Krystyna SzafraniecDepartment of Epidemiology and Population Studies, Jagiellonian University Medical College, Kraków, Poland.
Andrzej PająkDepartment of Epidemiology and Population Studies, Jagiellonian University Medical College, Kraków, Poland.
Jagiellonian University · PLUniversity College London · GBUniversity of Catania · IT

Funding

Health disparities and agingin societies in transitionR01AG023522 · NIA · UNIVERSITY COLLEGE LONDON · PI MARMOT, MICHAEL G · 2004 to 2008
$2.2M
NIA NIH HHS 1R01 AG23522-01NIA NIH HHS R01 AG023522Wellcome TrustWellcome Trust 064947/Z/01/ZWellcome Trust 081081/Z/06/Z
6 · The paper itself

Abstract

purposeThe aim of this study was to evaluate whether daily consumption of coffee and tea was associated with components and prevalence of metabolic syndrome (MetS) in the Polish arm of the Health, Alcohol and Psychosocial factors In Eastern Europe cohort study.

methodsA cross-sectional population-based survey including 8,821 adults (51.4% female) was conducted in Krakow, Poland. Coffee and tea consumption was evaluated using food frequency questionnaires. MetS was defined according to the International Diabetes Federation definition. Linear and logistic regression models were performed to estimate odds ratios and confidence intervals.

resultsAmong high coffee and tea consumers (3 or more cups/day), high prevalence of female gender, young age, medium-high educational and occupational level, high total energy intake, and smoking habit were found. High coffee drinkers had lower BMI, waist circumference, systolic and diastolic blood pressure, triglycerides, and higher HDL cholesterol than those drinking less than 1 cup/day. In contrast, high tea consumers had lower BMI, waist circumference, but not diastolic blood pressure, which was higher than low drinkers. After adjusting for potential confounding factors, both higher coffee and tea consumption were negatively associated with MetS (OR 0.75, 95% CI 0.66, 0.86 and OR 0.79, 95% CI 0.67, 0.92, respectively). Among specific components of MetS, high coffee consumption was negatively associated with waist circumference, hypertension, and triglycerides, whereas tea consumption with central obesity and fasting plasma glucose in women, but not in men.

conclusionsCoffee and tea consumption was negatively associated with MetS and some of its components.

Indexed as

CoffeeTeaAgedBlood GlucoseBlood PressureBody Mass IndexCholesterol, HDLCholesterol, LDLCross-Sectional StudiesEnergy IntakeFemaleHumansLife StyleLinear ModelsLogistic ModelsMaleBlood GlucoseCholesterol, HDLCholesterol, LDLCoffeeTeaTriglyceridesBlood pressureCoffeeDyslipidemiaHyperglycemiaMetabolic syndromeTeaWaist circumference

Identifiers

PMID25367317
PMCPMC4575379
OpenAlexW1967464684

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.