Identifying theoretical predictors of risky alcohol use among noncollege emerging adults. 2013

Nichole M Scaglione, and Rob Turrisi, and Michael J Cleveland, and Kimberly A Mallett, and Carly D Comer
Department of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania 16802, USA. nscaglione@psu.edu

OBJECTIVE Studies show that emerging adults who do not obtain postsecondary education are at greater risk for developing alcohol use disorders later in life relative to their college-attending peers. Research examining constructs amenable to change within this population is necessary to inform intervention efforts. Thus, the current study aimed to identify psychosocial correlates of risky alcohol use for noncollege emerging adults. A secondary goal was to examine whether gender moderated the relationships between the psychosocial constructs and alcohol use. METHODS Participants were a nationally representative sample of noncollege emerging adults (18-22 years old) who reported using alcohol in the past year, recruited through an established Internet panel (N = 209; 125 women). A path model was used to examine the relationship between theoretically derived constructs (expectancies, attitudes, normative beliefs) and risky (peak) drinking. A second model examined a multigroup solution to assess moderating effects of gender. RESULTS The full-sample model revealed significant associations between attitudes toward drinking and risky drinking. The model assessing gender differences revealed association between normative beliefs and drinking for women but not men, whereas attitudes were significantly associated with risky drinking for both men and women. CONCLUSIONS Findings highlight the importance of attitudes and, for women, descriptive norms in the etiology of risky drinking among noncollege emerging adults, which emphasizes their potential utility in the development and adaptation of interventions for this at-risk population.

UI MeSH Term Description Entries
D008297 Male Males
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
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
D001294 Attitude to Health Public attitudes toward health, disease, and the medical care system. Health Attitude,Attitude, Health,Attitudes, Health,Health Attitudes,Health, Attitude to
D012309 Risk-Taking Undertaking a task involving a challenge for achievement or a desirable goal in which there is a lack of certainty or a fear of failure. It may also include the exhibiting of certain behaviors whose outcomes may present a risk to the individual or to those associated with him or her. Risk Behavior,Behavior, Risk,Behaviors, Risk,Risk Behaviors,Risk Taking
D012737 Sex Factors Maleness or femaleness as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or effect of a circumstance. It is used with human or animal concepts but should be differentiated from SEX CHARACTERISTICS, anatomical or physiological manifestations of sex, and from SEX DISTRIBUTION, the number of males and females in given circumstances. Factor, Sex,Factors, Sex,Sex Factor
D015233 Models, Statistical Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc. Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model
D055815 Young Adult A person between 19 and 24 years of age. Adult, Young,Adults, Young,Young Adults

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