Jennifer C. Elliott

Computer-delivered interventions to reduce college student drinking: a meta-analysis

AIMS This meta-analysis evaluates the efficacy of computer-delivered interventions (CDIs) to reduce alcohol use among college students. METHODS We included 35 manuscripts with 43 separate interventions, and calculated both between-group and within-group effect sizes for alcohol consumption and alcohol-related problems. Effects sizes were calculated for short-term (< or =5 weeks) and long-term (> or =6 weeks) intervals. All studies were coded for study descriptors, participant characteristics and intervention components. RESULTS The effects of CDIs depended on the nature of the comparison condition: CDIs reduced quantity and frequency measures relative to assessment-only controls, but rarely differed from comparison conditions that included alcohol-relevant content. Small-to-medium within-group effect sizes can be expected for CDIs at short- and long-term follow-ups; these changes are less than or equivalent to the within-group effect sizes observed for more intensive interventions. CONCLUSIONS CDIs reduce the quantity and frequency of drinking among college students. CDIs are generally equivalent to alternative alcohol-related comparison interventions.

Face-to-face versus computer-delivered alcohol interventions for college drinkers: A meta-analytic review, 1998 to 2010

Alcohol misuse occurs commonly on college campuses, necessitating prevention programs to help college drinkers reduce consumption and minimize harmful consequences. Computer-delivered interventions (CDIs) have been widely used due to their low cost and ease of dissemination but whether CDIs are efficacious and whether they produce benefits equivalent to face-to-face interventions (FTFIs) remain unclear. Therefore, we identified controlled trials of both CDIs and FTFIs and used meta-analysis (a) to determine the relative efficacy of these two approaches and (b) to test predictors of intervention efficacy. We included studies examining FTFIs (N=5237; 56% female; 87% White) and CDIs (N=32,243; 51% female; 81% White). Independent raters coded participant characteristics, design and methodological features, intervention content, and calculated weighted mean effect sizes using fixed and random-effects models. Analyses indicated that, compared to controls, FTFI participants drank less, drank less frequently, and reported fewer problems at short-term follow-up (d(+)s=0.15-0.19); they continued to consume lower quantities at intermediate (d(+)=0.23) and long-term (d(+)=0.14) follow-ups. Compared to controls, CDI participants reported lower quantities, frequency, and peak intoxication at short-term follow-up (d(+)s=0.13-0.29), but these effects were not maintained. Direct comparisons between FTFI and CDIs were infrequent, but these trials favored the FTFIs on both quantity and problem measures (d(+)s=0.12-0.20). Moderator analyses identified participant and intervention characteristics that influence intervention efficacy. Overall, we conclude that FTFIs provide the most effective and enduring effects.

Computer-based interventions for college drinking: A qualitative review

E-interventions, or electronically based interventions, have become increasingly popular in recent years. College alcohol use has been one area in which such interventions have been implemented and evaluated. The purpose of this paper is to review the seventeen randomized controlled trials that have been published as of August 2007. These studies compared the effectiveness of e-interventions with other commonly used techniques, reading materials, and assessment-only control conditions. Overall, findings provide some support for such programs, especially in comparison with assessment-only control conditions. In addition, possible moderators (e.g. baseline drinking patterns) and mediators (e.g. corrected drinking norms) have emerged. Limitations and areas for future research are discussed.

Efficacy of alcohol interventions for first-year college students: a meta-analytic review of randomized controlled trials.

OBJECTIVE Alcohol use established during the first-year of college can result in adverse consequences during the college years and beyond. In this meta-analysis, we evaluated the efficacy of interventions to prevent alcohol misuse by first-year college students. METHOD Studies were included if the study reported an individual- or group-level intervention using a randomized controlled trial, targeted 1st-year college students, and assessed alcohol use. Forty-one studies with 62 separate interventions (N = 24,294; 57% women; 77% White) were included. Independent raters coded sample, design, methodological features, and intervention content. Weighted mean effect sizes, using fixed- and random-effects models, were calculated. Potential moderators, determined a priori, were examined to explain variability in effect sizes. RESULTS Relative to controls, students receiving an intervention reported lower quantity and frequency of drinking and fewer problems (d(+)s = 0.07-0.14). These results were more pronounced when the interventions were compared with an assessment-only control group (d(+)s = 0.11-0.19). Intervention content (e.g., personalized feedback) moderated the efficacy of the intervention. CONCLUSIONS Behavioral interventions for 1st-year college students reduce alcohol consumption and alcohol-related problems. Interventions that include personalized feedback, moderation strategies, expectancy challenge, identification of risky situations, and goal-setting optimize efficacy. Strategies to prevent alcohol misuse among first-year students are recommended.

The risk for persistent adult alcohol and nicotine dependence: the role of childhood maltreatment

BACKGROUND AND AIMS Alcohol and nicotine dependence are associated with considerable morbidity and mortality, especially when cases are persistent. The risk for alcohol and nicotine dependence is increased by childhood maltreatment. However, the influence of childhood maltreatment on dependence course is unknown, and is evaluated in the current study. DESIGN Physical, sexual and emotional abuse, and physical and emotional neglect, were evaluated as predictors of persistent alcohol and nicotine dependence over 3 years of follow-up, with and without control for other childhood adversities. SETTING National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). PARTICIPANTS NESARC participants completing baseline and follow-up who met criteria at baseline for past-year alcohol dependence (n = 1172) and nicotine dependence (n = 4017). MEASUREMENTS Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS) measures of alcohol/nicotine dependence, childhood maltreatment and other adverse childhood experiences (e.g. parental divorce). FINDINGS Controlling for demographics only, physical, sexual and emotional abuse and physical neglect predicted 3-year persistence of alcohol dependence [adjusted odds ratio (AOR) = 1.50-2.99; 95% CI = 1.04-4.68] and nicotine dependence (AOR = 1.37-1.74; 95% CI = 1.13-2.11). With other childhood adversities also controlled, maltreatment types remained predictive for alcohol persistence (AOR = 1.53-3.02; 95% CI = 1.07-4.71) and nicotine persistence (AOR = 1.35-1.72; 95% CI = 1.11-2.09). Further, a greater number of maltreatment types incrementally influenced persistence risk (AOR = 1.19-1.36; 95% CI = 1.11-1.56). CONCLUSIONS A history of childhood maltreatment predicts persistent adult alcohol and nicotine dependence. This association, robust to control for other childhood adversities, suggests that maltreatment (rather than a generally difficult childhood) affects the course of dependence.

Does family history of alcohol problems influence college and university drinking or substance use? A meta-analytical review

AIMS Family history of alcohol use problems is a reliable determinant of alcohol use and problems in the population at large, but findings are inconsistent when this issue is examined in college and university students. No quantitative summary of this literature has been reported to date. The purpose of this study was to conduct a meta-analysis on the effects of family history on substance use and abuse in college and university students. METHODS A two-group contrast meta-analysis was conducted to evaluate the differences in substance use and abuse between family history-positive and -negative students pursuing higher education. The studies that contributed data to this meta-analysis were conducted in five countries, with the majority of studies from the United States. A total of 65 published papers (53 samples) contributed data from 89 766 participants attending university or college. Effect sizes were coded for alcohol consumption, problems and use disorder symptoms, as well as other illegal drug use and abuse. Two independent coders calculated effect sizes and coded descriptive content about the papers, and discrepancies were reconciled. Family history was used as the grouping variable. RESULTS Family history had a minimal effect on alcohol consumption, with stronger effects on alcohol consequences (Cohens d: 0.21-0.25), alcohol use disorder symptoms (Cohens d: 0.24) and other drug involvement (Cohens d: 0.37-0.86). CONCLUSIONS Relative to students without a family history of alcohol problems, students with positive family histories do not drink more, but may be at greater risk for difficulties with alcohol and drugs.

Trauma exposure, posttraumatic stress disorder and risk for alcohol, nicotine, and marijuana dependence in Israel.

BACKGROUND Substance dependence is more common among trauma-exposed individuals; however, most studies suggest that Posttraumatic Stress Disorder (PTSD) accounts for the link between trauma exposure (TE) and substance dependence. OBJECTIVES This study examined associations between TE and substance dependence (alcohol, nicotine, and marijuana), and whether PTSD accounted for this association. METHOD 1317 Jewish Israeli household residents completed in-person structured interviews assessing TE, PTSD, and substance (alcohol, nicotine, marijuana) dependence between 2007 and 2009. Regression analyses examined associations among TE, PTSD, and substance dependence. RESULTS In the full sample, mean number of traumatic events was 2.7 (sd=2.2), with 83.7% experiencing at least one event. In the full sample, mean number of PTSD symptoms was 2.5 (sd=3.4), with 13.5% meeting PTSD diagnostic criteria. Prevalence of alcohol dependence was 13.4%; nicotine dependence 52.8%; and marijuana dependence 12.1%. Number of traumatic events was associated with increased odds of alcohol (OR=1.3; 95% CI=1.2-1.4) and nicotine (OR=1.2; 95% CI=1.1-1.3) dependence. Similarly, any traumatic event exposure was associated with increased odds of alcohol (OR=3.1; 95% CI=1.6-6.0) and nicotine (OR=1.9; 95% CI=1.2-2.9) dependence. PTSD symptoms were associated with increased odds of alcohol (OR=1.2; 95% CI=1.1-1.3), nicotine (OR=1.1; 95% CI=1.1-1.2), and marijuana (OR=1.1; 95% CI=1.04-1.2) dependence; similarly, a PTSD diagnosis was associated with increased odds of alcohol (OR=3.4; 95% CI=2.1-5.5), nicotine (OR=2.2; 95% CI=1.4-3.4), and marijuana (OR=2.6; 95% CI=1.2-5.9) dependence. PTSD symptoms accounted for a sizeable proportion of the TE effect on alcohol (46%) and nicotine dependence (31%). CONCLUSION Individuals with more traumatic events had heightened risk for alcohol and nicotine dependence, and PTSD symptoms partially accounted for this risk. However, marijuana dependence was only significantly related to PTSD symptoms. Clinicians and researchers should separately assess different types of dependence among trauma-exposed individuals both with and without PTSD symptoms.

Drinking motives as prospective predictors of outcome in an intervention trial with heavily drinking HIV patients

BACKGROUND Heavy alcohol consumption in HIV patients is an increasing health concern. Applying the drinking motivational model to HIV primary care patients, drinking motives (drinking to cope with negative affect, for social facilitation, and in response to social pressure) were associated with alcohol consumption at a baseline interview. However, whether these motives predict continued heavy drinking or alcohol dependence in this population is unknown. METHODS Participants were 254 heavy-drinking urban HIV primary care patients (78.0% male; 94.5% African American or Hispanic) participating in a randomized trial of brief drinking-reduction interventions. Drinking motive scales, as well as measures of alcohol consumption and alcohol dependence, were administered at baseline. Consumption and dependence measures were re-administered at the end of treatment two months later. Regression analyses tested whether baseline drinking motive scale scores predicted continued heavy drinking and alcohol dependence status at the end of treatment, and whether motives interacted with treatment condition. RESULTS Baseline drinking to cope with negative affect predicted continued heavy drinking (p<0.05) and alcohol dependence, the latter in both in the full sample (adjusted odds ratio [AOR]=2.14) and among those with baseline dependence (AOR=2.52). Motives did not interact with treatment condition in predicting alcohol outcomes. CONCLUSIONS Drinking to cope with negative affect may identify HIV patients needing targeted intervention to reduce drinking, and may inform development of more effective interventions addressing ways other than heavy drinking to cope with negative affect.

Development of a Decisional Balance Scale for Young Adult Marijuana Use

This study describes the development and validation of a decisional balance scale for marijuana use in young adults. Scale development was accomplished in four phases. First, 53 participants (70% female, 68% freshman) provided qualitative data that yielded content for an initial set of 47 items. In the second phase, an exploratory factor analysis on the responses of 260 participants (52% female, 68% freshman) revealed two factors, corresponding to pros and cons. Items that did not load well on the factors were omitted, resulting in a reduced set of 36 items. In the third phase, 182 participants (49% female, 37% freshmen) completed the revised scale and an evaluation of factor structure led to scale revisions and model respecification to create a good-fitting model. The final scales consisted of 8 pros (α = 0.91) and 16 cons (α = 0.93), and showed evidence of validity. In the fourth phase (N = 248, 66% female, 70% freshman), we confirmed the factor structure, and provided further evidence for reliability and validity. The Marijuana Decisional Balance Scale enhances our ability to study motivational factors associated with marijuana use among young adults.

The Importance of Context: Neighborhood Drinking Norms and Heavy Drinking Among HIV Patients.

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