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In previous research using timeline follow-back methods to closely monitor drinking and related variables over the first year of college (9 months), we showed that drinking varied considerably over time in accord with academic requirements and holidays. In a new community sample (N = 576) of emerging adults (18- and 19-year-olds who reported having begun drinking prior to recruitment), we used similar methods to compare drinking patterns in college and noncollege individuals over a full calendar year (including summer). To reduce the extreme distortion in computations of average drinking over restricted time spans (i.e., 1 week) that arise because large numbers of even regular drinkers may not consume any alcohol, we analyzed data using recently developed two-part latent growth curve modeling. This modeling distinguished consumption levels from numbers of individuals drinking in a given period. Results showed that drinking levels and patterns generally did not differ between college and noncollege drinkers, and that both groups responded similarly to even those contexts that may have seemed unique to one (i.e., spring break). We also showed that computation of drinking amounts without accounting for "zero drinkers" could seriously distort estimates of mean drinking on some occasions; for example, mean consumption in the total sample appeared to increase on Thanksgiving, whereas actual average consumption for those who were drinking diminished.

Binge drinking and alcohol-related problems among students at traditional 4-year universities have been well documented. However, little is known about the frequency of their such behaviors and its consequences among community college students, who comprise roughly 44% of all undergraduate students in the United States. The present study examined binge drinking and alcohol-related problems in 762 (61% female) ethnically diverse (65% Caucasian, 20% Hispanic, 9% African American) community college students (mean age = 26.23, SD = 7.81). Based on gender-specific criteria, 25% engaged in binge drinking. As compared to nonbingers and current abstainers, bingers had higher rates of drinking-related problems. The implications of these findings for research and for prevention/intervention programs are discussed.

F. K. Del Boca, J. Darkes, P. E. Greenbaum, and M. S. Goldman (2004) examined temporal variations in drinking during the freshmen college year and the relationship of several risk factors to these variations. Here, using the same data, the authors investigate whether a single growth curve adequately characterizes the variability in individual drinking trajectories. Latent growth mixture modeling identified 5 drinking trajectory classes: light-stable, light-stable plus high holiday, medium-increasing, highdecreasing, and heavy-stable. In multivariate predictor analyses, gender (i.e., more women) and lower alcohol expectancies distinguished the light-stable class from other trajectories; only expectancies differentiated the high-decreasing from the heavy-stable and medium-increasing classes. These findings allow for improved identification of individuals at risk for developing problematic trajectories and for development of interventions tailored to specific drinker classes., (Copyright (c) 2005 APA, all rights reserved)

Surveys have documented excessive drinking among college students and tracked annual changes in consumption over time. This study extended previous work by examining drinking changes during the freshman year, using latent growth curve (LGC) analysis to model individual change, and relating risk factors for heavy drinking to growth factors in the model. Retrospective monthly assessments of daily drinking were used to generate weekly estimates. Drinking varied considerably by week, apparently as a function of academic requirements and holidays. A 4-factor LGC model adequately fit the data. In univariate analyses, gender, race/ethnicity, alcohol expectancies, sensation seeking, residence, and data completeness predicted growth factors (ps <.05); gender, expectancies, residence, and data completeness remained significant when covariates were tested simultaneously. Substantive, methodological, and policy implications are discussed.

Aims: To review three topics pertaining to the validity of alcohol self-reports: factors that influence response accuracy; the relative merits of different self-report approaches; and the utility of using alternative measures to confirm verbal reports., Findings: Response behavior is influenced by the interaction of social context factors, respondent characteristics, and task attributes. Although research has advanced our knowledge about self-report methods, many questions remain unanswered. In particular, there is a need to investigate how task demands interact with different patterns of drinking behavior to affect response accuracy. There is also a continuing need to use multiple data sources to examine the extent of self-report response bias, and to determine whether it varies as a function of respondent characteristics or assessment timing., Conclusion: Self-report methods offer a reliable and valid approach to measuring alcohol consumption. The accuracy of such methods, however, can be improved by research directed at understanding the processes involved in response behavior.

Four papers from a 2001 Research Society on Alcoholism symposium on expectancy theory and research are summarized. The symposium contributors describe recent advances in expectancy theory and discuss their implications for assessment and for understanding the processes of development and change in the behavioral domain of alcohol use. First, findings are integrated across the diverse domains in which the expectancy concept has been applied. Second, the implications of expectancy theory for the measurement of expectancy structure and process are examined. Third, research and theory regarding alcohol expectancy development and change are presented, with an emphasis on the role of expectancies as mediators of known antecedents of drinking. Finally, an experimental procedure for investigating the causal role of expectancies is described, together with its implications for theory testing and prevention or intervention programming. Collectively, the symposium contributions demonstrate the utility of an integrated expectancy theory for the generation of innovative research operations and new insights regarding behavior development and change. Consistent with the notion of consilience, expectancy theory has demonstrated a convergence of findings across different levels of analysis, as well as across different operations, methods, and research designs.

Background: Chronic, heavy alcohol use is associated with multiple health problems, including premature death. Further, the clinical presentation of alcohol dependence may differentially affect and predict the long‐term health consequences of affected individuals. Subtypes of alcohol dependence based upon treatment intake information can help identify homogenous groups of patients for treatment purposes, but have not been used to predict long‐term outcomes. The current study examined mortality in a 36‐year posttreatment interval among 4 subtypes of alcohol‐dependent patients based upon their initial intake data. Methods: Extensive baseline data were collected from n = 316 male and female patients receiving inpatient treatment for alcohol dependence between 1980 and 1982. Four alcohol dependent subtypes (Del Boca & Hesselbrock, Alcohol Health Res World, 20:56, 1996) derived from the baseline data were used to examine the 1‐year posttreatment drinking status and the risk of death 36 years postdischarge. Public records were used to determine patient deaths in the 36 years since discharge. Results: At the 36‐year follow‐up interval since discharge, 68.4% of the sample had died. The 4 subtypes were found to be associated with different rates of resumption of regular drinking in the first year posttreatment and a differential risk of mortality. An increased risk for returning to regular drinking (once a week or more) and early death were associated with subtypes defined, in part, by conduct problems and externalizing disorders. Regardless of subtype membership, women had the highest risk of death following treatment. Conclusions: This study demonstrates the clinical usefulness of subtypes of alcohol dependence for examining different alcohol use outcomes, including predicting mortality. The increased risks for returning to regular drinking once a week or more and early death posttreatment among subtypes associated with conduct problems and externalizing disorders suggest the need for continued monitoring and possible additional intervention postdischarge. [ABSTRACT FROM AUTHOR]

Based on previous work (Darkes, Greenbaum, & Goldman, 1998), we evaluated the effects of item order and ambiguity on factor structure using items from the Disinhibition subscale of the Sensation Seeking Scales Form V (Zuckerman, 1979). Participants completed the items with order of item-group (alcohol, sex, ambiguous) presentation manipulated between respondents. The factor structure varied as a function of item-group order. In addition, factor covariances varied across the 3 item orders as a function of item-group order. Apparently, ambiguous items were interpreted differently (as related either to alcohol use or to sexual behavior) depending on the content of items that preceded them. Results suggest that item order and ambiguity are important considerations in assessment. [ABSTRACT FROM AUTHOR]

This article is a summary of a symposium presented at the 2005 Research Society on Alcoholism annual conference organized by Dan J. Neal and chaired by William R. Corbin. Event-level data, wherein each “event” (e.g., day) is captured as its own data point, capture the complex patterns of drinking and other high-risk behaviors in ways that the typical aggregate approach cannot. Because of their richness, methodologies that incorporate event-level data are becoming more common in alcohol research. At least 3 distinct forms of event-level data can be gathered: retrospective data (those collected on a single occasion, using memory aids to help each participant reconstruct all drinking events over a specific period of time), daily monitoring data (reporting on all events for that day), and momentary assessment (those recorded immediately following a drinking event or in response to a prompt from researchers). The goal of this symposium was to address many issues associated with event-level methodology, as well as demonstrate projects that are currently implementing such innovative data collection. The 4 presentations included in this symposium were “Realizing the Promise and Avoiding the Pitfalls of Retrospective Daily Estimation Assessments of Alcohol Use” by Frances K. Del Boca; “Using Interactive Voice Response Technology to Assess the Alcohol-Victimization Link” by Kathleen Parks, Linda King, and Ann Pardi; “Methodological Issues in Using Personal Data Assistants to Self-monitor Alcohol Consumption” by R. Lorraine Collins, Mark Muraven, and Charlene Vetter; and “Collecting Event-level Data Using the World Wide Web” by Dan J. Neal and Kim Fromme. [ABSTRACT FROM AUTHOR]

Two studies assessed perceived types of college students and associated stereotypes about drinking. In the first study, 64 university students responded to an open-ended probe asking them to list types of college students and then rated the amount of drinking done by each of a set of preselected types. In the second study, 236 students responded to the same open-ended item and directly rated a set of types that had been revised based on Study 1 in terms of drinking and involvement in the academic and sociosexual collegiate subcultures. As hypothesized, consensual responses to the open-ended probe reflected the college student culture. Also as hypothesized, types of students socially defined in terms of the sociosexual aspects of college (e.g., "fraternity boy") were rated as likely to drink heavily, whereas types that were seen as being pulled away from college social life, through assumed involvement in academics (e.g., "brain/straight As"), were rated as drinking relatively little. Finally, rated sociosexual involvement was positively correlated, and academic involvement was negatively correlated, with perceived drinking, which supports a central assumption of the framework guiding the research. [ABSTRACT FROM AUTHOR]

Presents a study focusing on the timeline follow-back (TLFB) to daily and real-time assessment of drinking alcoholic beverages. Completion of TLFB covering the recording period; How TLFB is used; Information on the participants of study.