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Some laboratory correlates of drinking habits
Annals of Clinical Biochemistry
|November 1, 1978
Summary
This study reveals that increased alcohol consumption significantly impacts key health indicators like gamma-glutamyl transpeptidase, triglycerides, uric acid, and mean corpuscular volume. These findings are crucial for identifying harmful drinking patterns and interpreting health profiles.
Area of Science:
- Biochemistry
- Hematology
- Clinical Chemistry
Background:
- Alcohol consumption is a prevalent lifestyle factor with potential health implications.
- Biochemical and hematological markers are routinely used in health assessments.
- Understanding the influence of drinking habits on these markers is essential for accurate health evaluations.
Purpose of the Study:
- To investigate the association between alcohol intake and the frequency distributions of eight biochemical and hematological test results.
- To identify specific biomarkers affected by habitual alcohol consumption.
- To inform the interpretation of health screening results in relation to drinking habits.
Main Methods:
- Analysis of data from 7915 patients undergoing multiphasic health testing.
- Statistical examination of the relationship between self-reported drinking habits and laboratory test results.
- Focus on eight specific biochemical and hematological parameters, including liver function tests.
Main Results:
- Elevated levels of plasma gamma-glutamyl transpeptidase, triglycerides, uric acid, and erythrocyte mean corpuscular volume were associated with increased alcohol intake.
- Aspartate aminotransferase showed a strong correlation with drinking habits among the tested liver function tests.
- Other liver function tests (alkaline phosphatase, bilirubin, albumin) were less affected.
Conclusions:
- Habitual alcohol consumption, even at common levels, alters several key biochemical and hematological markers.
- Plasma gamma-glutamyl transpeptidase and erythrocyte mean corpuscular volume are sensitive indicators of alcohol intake.
- These findings aid in detecting detrimental drinking patterns and refining the interpretation of health profiles.