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One of these things is not like the others: Testing trajectories in drinking frequency, drinking quantity, and alcohol-related problems in undergraduate women

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Abstract

Alcohol misuse is an increasingly common problem in undergraduate women. Building upon research suggesting that maturing out of risky patterns of alcohol use can occur, our study tested how three facets of alcohol use change differentially over time in undergraduate women. A sample of 218 undergraduate women (M age = 20.6 years) participated in a four-wave, 18-month longitudinal study measuring frequency of alcohol consuming occasions, quantity of alcohol consumed per occasion, and alcohol-related problems. Growth curve analyses showed that alcohol frequency remained stable over 18 months, whereas alcohol quantity and problems decreased over time. Results indicate undergraduate women are drinking with similar frequency over time, but they are drinking a smaller quantity of alcohol per drinking occasion and they are experiencing fewer alcohol-related problems. Findings help clarify the maturity principle by showing a different pattern of drinking as undergraduate women age that involves lower quantities of alcohol per drinking occasion and less problematic alcohol use, but not necessarily less frequent drinking.

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The developmental course of physiological dependence on alcohol was investigated by estimating the prevalance, stability, and prognostic significance of individual tolerance and withdrawal symptoms, prospectively over 7 years, in 450 young adults. Different prevalence rates and patterns of stability were observed with alternate tolerance items. Consistently low base rates were observed for all withdrawal items. Person-level stability of tolerance and withdrawal indicators was moderate at test-retest intervals of 1 year and increasingly modest at longer intervals. Reporting tolerance and withdrawal in early adulthood was associated with a substantial risk for later alcohol use disorder. Results suggest that the Likelihood of experiencing tolerance or withdrawal symptoms may vary as a function of an individual's stage of development and drinking history. Implications for future assessment and classification of alcohol dependence are discussed.
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Background: Heavy episodic (binge) drinking is common in and problematic for undergraduates. Researchers often assume that an individual's heavy episodic drinking is stable and trait-like. However, this fails to consider fluctuating, state-like variation in heavy episodic drinking. This study proposes and tests a novel conceptualization of heavy episodic drinking as a trait-state wherein the contribution of both trait-like stability and state-like fluctuations are quantified. It was hypothesized that heavy episodic drinking is a trait-state such that individuals have trait-like tendencies to engage in heavy episodic drinking, and state-like differences in the expression of this tendency over time. Methods: A sample of 114 first-year undergraduates from a Canadian university completed self-report measures of heavy episodic drinking at 3 time points across 130 days. Hypotheses were tested with repeated-measures analysis of variance (ANOVA), test-retest correlations, and generalizability theory analyses. Results: A substantial proportion of the variance in heavy episodic drinking is attributable to trait-like stability, with a smaller proportion attributable to state-like fluctuations. Conclusions: The heavy episodic drinker seems characterized by a stable, trait-like tendency to drink in a risky manner, and this trait-like tendency seems to fluctuate in degree of expression over time. Findings complement research suggesting that people have trait-like predispositions that increase their risk for heavy episodic drinking. However, despite this stable tendency to drink heavily, the frequency of heavy episodic drinking appears to be at least partly sporadic or situation dependent. These findings serve as a caution to alcohol researchers and clinicians who often assume that a single assessment of heavy episodic drinking captures a person's usual drinking behavior.
Article
: The purpose of this study was to explore college women’s high-risk alcohol use and related consequences. This study employed a qualitative approach to understand and provide visibility for a gender-related perspective on college women’s alcohol experiences and related outcomes. Data were collected from interviews with 10 undergraduate females at a large research university in the northeastern United States. The results of the data analysis generated four major themes, which include a conceptual model, the relational ritual reinforcement (R3), for understanding the recurring high-risk alcohol use and related negative consequences among some university women.
Article
A common concern when faced with multivariate data with missing values is whether the missing data are missing completely at random (MCAR); that is, whether missingness depends on the variables in the data set. One way of assessing this is to compare the means of recorded values of each variable between groups defined by whether other variables in the data set are missing or not. Although informative, this procedure yields potentially many correlated statistics for testing MCAR, resulting in multiple-comparison problems. This article proposes a single global test statistic for MCAR that uses all of the available data. The asymptotic null distribution is given, and the small-sample null distribution is derived for multivariate normal data with a monotone pattern of missing data. The test reduces to a standard t test when the data are bivariate with missing data confined to a single variable. A limited simulation study of empirical sizes for the test applied to normal and nonnormal data suggests that the test is conservative for small samples.
Article
Notes that alcohol abusers' verbal self-reports are likely to be an accurate reflection of drinking behavior and examines possible research strategies for further enhancing the accuracy of self-reports and for predicting inaccurate self-reports. These strategies include (1) determining how response error can be reduced in the question-answering process, (2) developing procedures to enhance accuracy beyond normal recall, (3) determining what amount of response variability is tolerable, (4) examining group vs individual levels of agreement, and (5) investigating whether wording of questions significantly affects response. Challenges to the use of self-reports in the field of alcohol abuse are noted. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Article
Despite the long recognized importance and well-documented impact of drinking patterns on health and safety, college student drinking patterns are understudied. This study used a daily-level, academic-year-long, multisite sample to identify subpopulations of college student drinking patterns and to describe how these groups differ from one another before, during, and after their first year of college. Two cohorts of first-year college students (n = 588; 59% female) reported daily drinking on a biweekly basis using web-based surveys and completed surveys before and after their first year of college. Cluster analyses based on time series analysis estimates of within-person drinking differences (per weekday, semester, first 6 weeks) and other descriptors of day-to-day drinking identified five drinking patterns: two low (47% and 6%), two medium (24% and 15%), and one high (8%) drinking cluster. Multinomial logistic regression analyses examined cluster differences in pre-college characteristics (i.e., demographics, alcohol outcome expectancies, alcohol problems, depression, other substance use) and first-year college experiences (i.e., academic engagement, alcohol consequences, risky drinking practices, alcohol problems, drinking during academic breaks). Low-drinking students appeared to form a relatively homogeneous group, whereas two distinct patterns were found for medium-drinking students with different weekend and Thursday drinking rates. The Thursday drinking cluster showed lower academic engagement and greater participation in risky drinking practices. These findings highlight quantitative and qualitative differences in day-to-day drinking patterns and suggest a link between motivational differences and drinking patterns, which may be addressed in developing tailored interventional strategies.
Article
This study addresses binge drinking in college as a risk factor for heavy drinking and alcohol dependence after college. A national probability sample of 1972 college students from the National Longitudinal Surveys of Youth (NLSY79) was interviewed in 1984 and reinterviewed again as adults in 1994. The short-term effects of binge drinking in college were assessed as well as the extent to which experiences of negative effects in college predicted patterns of alcohol use across the transition from college into postcollege years. As expected, college binge drinkers were comparatively more likely than nonbinge drinkers to experience one or more alcohol-related problems while in college. In addition, weighted estimates of DSM-IV-defined diagnostic criteria in logistic regression models indicated that the binge drinking patterns exhibited during the college years, for some former college students of both genders, posed significant risk factors for alcohol dependence and abuse 10 years after the initial interview, in conjunction with evidence of academic attrition, early departure from college and less favorable labor market outcomes.
Article
One possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard material. A convenient, although not comprehensive, presentation of required sample sizes is provided here. Effect-size indexes and conventional values for these are given for operationally defined small, medium, and large effects. The sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests: (a) the difference between independent means, (b) the significance of a product-moment correlation, (c) the difference between independent rs, (d) the sign test, (e) the difference between independent proportions, (f) chi-square tests for goodness of fit and contingency tables, (g) one-way analysis of variance, and (h) the significance of a multiple or multiple partial correlation.
Article
This study examined the association between restricting calories on intended drinking days and drunkenness frequency and alcohol-related consequences among college students. Participants included a random sample of 4,271 undergraduate college students from 10 universities. Students completed a Web-based survey regarding their high-risk drinking behaviors and calorie restriction on intended drinking days. Thirty-nine percent of past 30-day drinkers reported restricting calories on days they planned to drink alcohol, of which 67% restricted because of weight concerns. Restricting calories on drinking days was associated with greater odds of getting drunk in a typical week. Women who restricted were more likely to report memory loss, being injured, being taken advantage of sexually, and having unprotected sex while drinking. Men were more likely to get into a physical fight. These results highlight the importance of considering weight control behaviors in the examination of high-risk college drinking.
Article
Heavy college-student alcohol use and its resulting negative consequences represent a public-health problem on American college campuses. The Rutgers Alcohol Problem Index (RAPI) is a commonly used measure of alcohol problems among college students, but the psychometric properties of this measure never have been comprehensively assessed with the college-student population. The purpose of this research was to conduct reliability and validity analyses, particularly exploratory and confirmatory factor analysis, on a dichotomously scored version of the measure. Data were collected on 4,686 undergraduate students at a large, public university in the Northwest region of the United States and 438 students at a large, public university in the Northeast. Exploratory factor analysis suggested that a three-factor model provided the best fit to the data. This finding was replicated via confirmatory factor analyses in two separate samples. The three factors were labeled Abuse/Dependence Symptoms, Personal Consequences, and Social Consequences. Each individual factor demonstrated adequate internal consistency and convergent validity. The results of this study suggest that a dichotomously scored RAPI consists of three subfactors that are reliable and valid in identifying alcohol-related problems among college students.
Canada's low-risk alcohol drinking guidelines
Canadian Centre on Substance Abuse (2013). Canada's low-risk alcohol drinking guidelines. Available at: http://www.ccsa.ca/Resource%20Library/2012-Canada-Low-Risk-Alcohol-Drinking-Guidelines-Brochure-en.pdf (Accessed December 15, 2013)