Biomaterial Database

I think I can't: drink refusal self-efficacy as a mediator of the relationship between self-reported drinking identity and alcohol use. 2014

Dawn W Foster, and Nelson Yeung, and Clayton Neighbors

Harvard School of Public Health, Harvard University, Boston, MA 02115, United States. Electronic address: DawnWFoster@gmail.com.

This study examined the relationship between self-reported drinking identity (SRDI), defined as how closely individuals believe drinking is a crucial aspect of their identity (Conner, Warren, Close, & Sparks, 1999), and alcohol use by considering drink-refusal self-efficacy (DRSE) as a potential mediator. Based on previous findings, we expected that SRDI would be negatively associated with DRSE and positively associated with drinking, and that DRSE would be negatively linked with drinking. Further, we expected that DRSE would mediate the association between SRDI and drinking. Participants included 1069 undergraduate students (M age=22.93years, SD=6.29, 76.25% female) from a large southern university who completed computer-based study materials. Gender was associated with SRDI, each of the DRSE subscales, and drinking, indicating that males report greater SRDI, lower DRSE, and increased alcohol consumption. Consistent with expectations, SRDI was negatively linked with DRSE and positively linked with drinking. DRSE subscales were negatively associated with drinking. Further, four measurement models for latent variables were tested for SRDI and each of the three DRSE subscales. Results showed that the emotional relief and social subscales of DRSE mediated the association between SRDI and drinking, however this mediating relationship did not emerge for the opportunistic subscale. Implications of these results are discussed.

UI	MeSH Term	Description	Entries
D007722	Health Knowledge, Attitudes, Practice	Knowledge, attitudes, and associated behaviors which pertain to health-related topics such as PATHOLOGIC PROCESSES or diseases, their prevention, and treatment. This term refers to non-health workers and health workers (HEALTH PERSONNEL).	Knowledge, Attitudes, Practice
D008297	Male		Males
D011795	Surveys and Questionnaires	Collections of data obtained from voluntary subjects. The information usually takes the form of answers to questions, or suggestions.	Community Survey,Nonrespondent,Questionnaire,Questionnaires,Respondent,Survey,Survey Method,Survey Methods,Surveys,Baseline Survey,Community Surveys,Methodology, Survey,Nonrespondents,Questionnaire Design,Randomized Response Technique,Repeated Rounds of Survey,Respondents,Survey Methodology,Baseline Surveys,Design, Questionnaire,Designs, Questionnaire,Methods, Survey,Questionnaire Designs,Questionnaires and Surveys,Randomized Response Techniques,Response Technique, Randomized,Response Techniques, Randomized,Survey, Baseline,Survey, Community,Surveys, Baseline,Surveys, Community,Techniques, Randomized Response
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
D003627	Data Interpretation, Statistical	Application of statistical procedures to analyze specific observed or assumed facts from a particular study.	Data Analysis, Statistical,Data Interpretations, Statistical,Interpretation, Statistical Data,Statistical Data Analysis,Statistical Data Interpretation,Analyses, Statistical Data,Analysis, Statistical Data,Data Analyses, Statistical,Interpretations, Statistical Data,Statistical Data Analyses,Statistical Data Interpretations
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
D000428	Alcohol Drinking	Behaviors associated with the ingesting of ALCOHOLIC BEVERAGES, including social drinking.	Alcohol Consumption,Alcohol Intake,Drinking, Alcohol,Alcohol Drinking Habits,Alcohol Drinking Habit,Alcohol Intakes,Consumption, Alcohol,Drinking Habit, Alcohol,Habit, Alcohol Drinking,Habits, Alcohol Drinking,Intake, Alcohol