Biomaterial Database

Predictors of per capita alcohol consumption and gender-specific liver cirrhosis mortality rates: thirteen European countries, circa 1970-1984 and 1995-2007. 2010

Phillips Cutright, and Robert M Fernquist

Indiana University, Bloomington, USA.

Regression models of cross-national differences in social and economic predictors of per capita alcohol consumption and gender-specific cirrhosis mortality rates are developed for 13 European countries, first using 1970-1984 (period 1) data and then replicating with 1995-2007 (period 2) data. Regression analysis finds that stronger alcohol control policy laws and income inequality are highly significant predictors of consumption in both periods. Further, results show that alcohol consumption is a significant predictor of male mortality rates in both periods, while it is significant only in the second period for female cirrhosis mortality rates. Psychological well-being is a significant predictor for male and female cirrhosis mortality rates in both periods.

UI	MeSH Term	Description	Entries
D008104	Liver Cirrhosis, Alcoholic	FIBROSIS of the hepatic parenchyma due to chronic excess ALCOHOL DRINKING.	Alcoholic Cirrhosis,Hepatic Cirrhosis, Alcoholic,Alcoholic Hepatic Cirrhosis,Alcoholic Liver Cirrhosis
D008297	Male		Males
D008875	Middle Aged	An adult aged 45 - 64 years.	Middle Age
D011379	Prognosis	A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations.	Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D012044	Regression Analysis	Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.	Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D003430	Cross-Sectional Studies	Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time.	Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D005060	Europe	The continent north of AFRICA, west of ASIA and east of the ATLANTIC OCEAN.	Northern Europe,Southern Europe,Western Europe
D005260	Female		Females
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328	Adult	A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available.	Adults