Related Experiment Video
Updated: Aug 23, 2026

Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis
Published on: November 8, 2024
Beer consumption and premature mortality in Louisiana: an ecologic analysis
Deborah A Cohen1, Karen Mason, Thomas A Farley
1RAND Corporation, 1700 Main Street, PO Box 2138, Santa Monica, California 90407-2138, USA. dcohen@rand.org
Objective:
This study was conducted to determine whether beer consumption is associated with premature mortality across municipalities in Louisiana.
Method:
We conducted a cross-sectional ecologic study using tax data on the sales of beer and mortality data from Louisiana. We aggregated deaths that occurred before the age of 65 to the level of the municipality and calculated age-adjusted rates of both overall premature mortality and specific causes of premature mortality that may be related to alcohol. After controlling for potential confounders including population distributions for race, income, employment and education, we examined whether beer sales were independently associated with premature mortality rates due to homicides, unintentional injuries, other acute alcohol-related causes, liver diseases, cardiovascular disease and other chronic alcohol-related causes.
Results:
After controlling for race and socioeconomic status, municipalities with greater beer consumption had higher premature mortality, with the model explaining up to 24% of all premature deaths. Beer consumption was also independently associated with homicide, liver diseases and cardiovascular disease. Neither unintentional injuries nor other chronic alcohol-related causes of mortality were significantly associated with beer consumption.
Conclusions:
The population-level association between beer consumption and mortality may reflect population-level determinants of beer consumption as well as indirect health effects of alcohol consumption on persons who are not heavy drinkers.
Related Concept Videos
Applications of Life Tables
Statistical Methods for Analyzing Epidemiological Data
Microbes in Beverage Production
