↓ Skip to main content

American Association for Cancer Research

Article Metrics

Associations of Coffee Drinking with Systemic Immune and Inflammatory Markers

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, May 2015
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
21 tweeters
video
1 video uploader

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
98 Mendeley
citeulike
1 CiteULike
Title
Associations of Coffee Drinking with Systemic Immune and Inflammatory Markers
Published in
Cancer Epidemiology, Biomarkers & Prevention, May 2015
DOI 10.1158/1055-9965.epi-15-0038-t
Pubmed ID
Authors

Erikka Loftfield, Meredith S. Shiels, Barry I. Graubard, Hormuzd A. Katki, Anil K. Chaturvedi, Britton Trabert, Ligia A. Pinto, Troy J. Kemp, Fatma M. Shebl, Susan T. Mayne, Nicolas Wentzensen, Mark P. Purdue, Allan Hildesheim, Rashmi Sinha, Neal D. Freedman

Abstract

Coffee drinking has been inversely associated with mortality as well as cancers of the endometrium, colon, skin, prostate, and liver. Improved insulin sensitivity and reduced inflammation are among the hypothesized mechanisms by which coffee drinking may affect cancer risk; however, associations between coffee drinking and systemic levels of immune and inflammatory markers have not been well characterized. We used Luminex bead-based assays to measure serum levels of 77 immune and inflammatory markers in 1,728 older non-Hispanic Whites. Usual coffee intake was self-reported using a food frequency questionnaire. We used weighted multivariable logistic regression models to examine associations between coffee and dichotomized marker levels. We conducted statistical trend tests by modeling the median value of each coffee category and applied a 20% false discovery rate criterion to P-values. Ten of the 77 markers were nominally associated (P-value for trend<0.05) with coffee drinking. Five markers withstood correction for multiple comparisons and included aspects of the host response namely chemotaxis of monocytes/macrophages (IFNγ, CX3CL1/fractalkine, CCL4/MIP-1β), pro-inflammatory cytokines (sTNFRII) and regulators of cell growth (FGF-2). Heavy coffee drinkers had lower circulating levels of IFNγ (OR=0.35; 95% CI 0.16-0.75), CX3CL1/fractalkine (OR=0.25; 95% CI 0.10-0.64), CCL4/MIP-1β (OR=0.48; 95% CI 0.24-0.99), FGF-2 (OR=0.62; 95% CI 0.28-1.38), and sTNFRII (OR=0.34; 95% CI 0.15-0.79) than non-coffee drinkers. Lower circulating levels of inflammatory markers among coffee drinkers may partially mediate previously observed associations of coffee with cancer and other chronic diseases. Validation studies, ideally controlled feeding trials, are needed to confirm these associations.

Twitter Demographics

The data shown below were collected from the profiles of 21 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 1%
Unknown 97 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 21%
Student > Ph. D. Student 14 14%
Student > Bachelor 13 13%
Researcher 9 9%
Student > Doctoral Student 6 6%
Other 17 17%
Unknown 18 18%
Readers by discipline Count As %
Medicine and Dentistry 27 28%
Agricultural and Biological Sciences 13 13%
Nursing and Health Professions 7 7%
Neuroscience 5 5%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 16 16%
Unknown 26 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 35. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 July 2021.
All research outputs
#756,916
of 18,447,634 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#302
of 4,032 outputs
Outputs of similar age
#12,099
of 243,445 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#5
of 60 outputs
Altmetric has tracked 18,447,634 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,032 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 243,445 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.