Biomaterial Database

Is risk for substance abuse unitary? 1992

J R Stabenau

Department of Psychiatry, University of Connecticut Health Center, Farmington 06030.

The hypothesis that risk for substance abuse is not unitary was tested by a log linear regression analysis. A series of risk factors was evaluated in a sample of 219 nonhospitalized, nontreated, young male and female subjects. Risk for alcohol abuse/dependence was independent of risk for drug abuse/dependence and the risks were additive in the prediction of lifetime substance abuse. Antisocial personality diagnosis predicted alcohol abuse/dependence, family history of drug abuse predicted drug abuse/dependence, and, additively, they predicted alcohol and drug abuse/dependence diagnosis over a lifetime. These data support a hypothesis that risk for substance abuse is not unitary.

UI	MeSH Term	Description	Entries
D008297	Male		Males
D011446	Prospective Studies	Observation of a population for a sufficient number of persons over a sufficient number of years to generate incidence or mortality rates subsequent to the selection of the study group.	Prospective Study,Studies, Prospective,Study, Prospective
D011569	Psychiatric Status Rating Scales	Standardized procedures utilizing rating scales or interview schedules carried out by health personnel for evaluating the degree of mental illness.	Factor Construct Rating Scales (FCRS),Katz Adjustment Scales,Lorr's Inpatient Multidimensional Psychiatric Rating Scale,Wittenborn Scales,Edinburgh Postnatal Depression Scale,Mini International Neuropsychiatric Interview
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
D004522	Educational Status	Educational attainment or level of education of an individual.	Education Level,Educational Achievement,Educational Attainment,Educational Level,Level of Education,Maternal Education Level,Maternal Educational Attainment,Maternal Educational Level,Paternal Education Level,Paternal Educational Attainment,Paternal Educational Level,Achievement, Educational,Educational Status, Maternal,Educational Status, Paternal,Maternal Educational Status,Paternal Educational Status,Status, Educational,Attainment, Educational,Attainment, Maternal Educational,Attainment, Paternal Educational,Education Level, Maternal,Education Level, Paternal,Education Levels,Educational Achievements,Educational Attainment, Maternal,Educational Attainment, Paternal,Educational Attainments,Educational Level, Maternal,Educational Level, Paternal,Educational Levels,Level, Education,Level, Educational,Level, Maternal Education,Level, Maternal Educational,Level, Paternal Education,Level, Paternal Educational,Levels, Maternal Educational,Maternal Education Levels,Maternal Educational Attainments,Maternal Educational Levels,Paternal Education Levels,Paternal Educational Attainments,Paternal Educational Levels,Status, Maternal Educational,Status, Paternal Educational
D005260	Female		Females
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293	Adolescent	A person 13 to 18 years of age.	Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
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
D000367	Age Factors	Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time.	Age Reporting,Age Factor,Factor, Age,Factors, Age