Document Detail

An econometric technique to remove unobserved variables that bias the relationship between alcohol and blood pressure.
MedLine Citation:
PMID:  8459717     Owner:  NLM     Status:  MEDLINE    
We use econometric techniques to consider whether the statistical association between drinking and blood pressure among men may be due, in part, to the constitutional hypothesis. The constitutional hypothesis holds that the same unobserved genetic or personality factors that affect blood pressure will affect the amount of alcohol consumed. Our sample is restricted to men because most investigations for women have revealed a weak to nonexistent positive, and sometimes a negative, association. Data are drawn from the National Health and Nutrition Examination Survey, 1971-1975. The econometric technique requires fitting three equations using two-stage least squares or multiple regressions. The first equation explains how much people drink. The second and third equations explain fluctuations in systolic and diastolic blood pressures using information on the predicted values of the drinking variable from the first equation. Our results suggest that, after accounting for unobserved constitutional factors as well as other observed covariates such as obesity, salt intake, schooling and so on, the strength of the statistical association between high blood pressure and heavy drinking in men drops only slightly by 8% (diastolic) and 23% (systolic). Thus, a strong statistically significant result remains after removing the unobserved variables bias.
J P Leigh; M C Berger
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of studies on alcohol     Volume:  54     ISSN:  0096-882X     ISO Abbreviation:  J. Stud. Alcohol     Publication Date:  1993 Mar 
Date Detail:
Created Date:  1993-04-29     Completed Date:  1993-04-29     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  7503813     Medline TA:  J Stud Alcohol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  225-34     Citation Subset:  IM    
Department of Economics, San Jose State University, California 95192-0114.
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MeSH Terms
Alcohol Drinking / adverse effects*,  epidemiology,  prevention & control
Bias (Epidemiology)
Blood Pressure / drug effects
Cross-Sectional Studies
District of Columbia / epidemiology
Hypertension / epidemiology,  etiology*,  prevention & control
Middle Aged
Models, Statistical
Regression Analysis
Risk Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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