↓ Skip to main content

Effects of coffee, smoking, and alcohol on liver function tests: a comprehensive cross-sectional study

Overview of attention for article published in BMC Gastroenterology, October 2012
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
150 Mendeley
citeulike
1 CiteULike
Title
Effects of coffee, smoking, and alcohol on liver function tests: a comprehensive cross-sectional study
Published in
BMC Gastroenterology, October 2012
DOI 10.1186/1471-230x-12-145
Pubmed ID
Authors

Eun Sun Jang, Sook-Hyang Jeong, Sung Ho Hwang, Hyun Young Kim, So Yeon Ahn, Jaebong Lee, Sang Hyub Lee, Young Soo Park, Jin Hyeok Hwang, Jin-Wook Kim, Nayoung Kim, Dong Ho Lee

Abstract

Liver function tests (LFTs) can be affected by many factors and the proposed effects of coffee on LFT require a comprehensive evaluation. The aim of this study was to elucidate whether drinking coffee, smoking, or drinking alcohol have independent effects on LFTs in Korean health-check examinees. We used the responses of 500 health-check examinees, who had participated in a self-administered questionnaire survey about coffee, alcohol drinking, and smoking habits. Coffee consumption was closely related to male gender, high body mass index (BMI), alcohol drinking, and smoking. On univariable and multivariable analyses, drinking coffee lowered serum levels of total protein, albumin, and aspartate aminotransferases (AST). On multivariable analyses, smoking raised serum γ-glutamyl transferase (GGT) level and decreased serum protein and albumin levels, while alcohol drinking raised GGT level after adjustment for age, gender, regular medication, BMI, coffee and alcohol drinking amounts, and smoking. Coffee consumption, smoking, and alcohol drinking affect the individual components of LFT in different ways, and the above 3 habits each have an impact on LFTs. Therefore, their effects on LFTs should be carefully interpreted, and further study on the mechanism of the effects is warranted.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 1%
Unknown 148 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 63 42%
Student > Master 16 11%
Student > Postgraduate 9 6%
Other 6 4%
Professor 5 3%
Other 15 10%
Unknown 36 24%
Readers by discipline Count As %
Medicine and Dentistry 50 33%
Nursing and Health Professions 19 13%
Agricultural and Biological Sciences 11 7%
Biochemistry, Genetics and Molecular Biology 11 7%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Other 15 10%
Unknown 39 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 07 August 2015.
All research outputs
#6,457,642
of 23,971,017 outputs
Outputs from BMC Gastroenterology
#398
of 1,857 outputs
Outputs of similar age
#45,898
of 178,497 outputs
Outputs of similar age from BMC Gastroenterology
#10
of 35 outputs
Altmetric has tracked 23,971,017 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,857 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 78% 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 178,497 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.