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
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 43% |
Canada | 2 | 29% |
Italy | 1 | 14% |
Unknown | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 86% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
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% |