Per capita alcohol consumption and ischemic heart disease mortality in a panel of US states from 1950 to 2002.
OBJECTIVE
To estimate the overall impact of alcohol on ischemic heart disease (IHD) mortality in the United States using aggregate-level models and to consider beverage-specific effects that may represent more effectively the changes in drinking patterns over time that are related to both harmful and protective impacts of alcohol consumption on IHD.


METHODS
Several model specifications are estimated, including state-specific autoregressive integrated moving average (ARIMA) models and generalized least squares (GLS) panel models on first-differenced data.


METHODS
US states from 1950 to 2002.


METHODS
US general population.


METHODS
Per capita alcohol sales and cigarette sales, age-standardized IHD and cirrhosis mortality rates.


RESULTS
Apparent consumption of total alcohol was associated with a significant overall increase of IHD of about 1% mortality per litre of ethanol. Beverage-specific models found that spirits consumption was significantly positively related to IHD mortality overall, for both genders and in three regions defined by drinking culture (or 'wetness'), while beer was found to have a significant protective relationship overall and in the wet region. The results for wine also suggest a protective relationship, but only marginally significant effects were found. Cirrhosis mortality rates were consistently positively related to IHD mortality. Combined results from state-specific ARIMA models including both cigarette sales and cirrhosis rates were generally consistent with the GLS results.


CONCLUSIONS
Population-level models confirm individual-level findings of both harmful and protective relationships between alcohol use patterns and ischemic heart disease mortality. However, an overall harmful impact of per capita alcohol consumption on IHD mortality was found.
Alcohol Research Group, Emeryville, CA 94608, USA. wkerr@arg.org
William C
WC
Kerr
Katherine
K
Karriker-Jaffe
Meenakshi
M
Subbaraman
Yu
Y
Ye
D000428:Alcohol Drinking / Q000453:epidemiology* / Q000639:trends; D000434:Alcoholic Beverages / Q000009:adverse effects / Q000706:statistics & numerical data*; D003132:Commerce / Q000639:trends; D003627:Data Interpretation, Statistical; D005260:Female; D006801:Humans; D008103:Liver Cirrhosis / Q000401:mortality; D008297:Male; D015233:Models, Statistical; D009026:Mortality / Q000639:trends; D015999:Multivariate Analysis; D017202:Myocardial Ischemia / Q000401:mortality*; D012907:Smoking / Q000453:epidemiology; D013695:Temperance / Q000706:statistics & numerical data; D014481:United States / Q000453:epidemiology