Article

Efficacy of the eCHECKUP TO GO for High School Seniors: Sex Differences in Risk Factors, Protective Behavioral Strategies, and Alcohol Use

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Abstract

Objective: The purpose of this randomized controlled study was to examine sex as a moderator of the efficacy of a brief, web-based personalized feedback intervention (eCHECKUP TO GO) on decreasing cognitive risk factors for alcohol use, increasing protective behavioral strategies, and reducing alcohol use among high school seniors. Method: Participants (n = 311) were high school seniors randomized by class period to the eCHECKUP TO GO intervention or assessment-only control group. Participants completed online surveys at baseline and 30-day follow-up (91.0%; n = 283). Results: Students in the intervention group reported a significant reduction in normative perceptions of peer drinking, positive alcohol expectancies, and alcohol use relative to those in the control group. Intervention effects for perceptions of frequency of peer drunkenness and frequency of alcohol use were moderated by sex, with results favoring females. In contrast, we did not find evidence for sex as a moderator of intervention effects for normative perceptions of peer drinking frequency, sex-specific perceptions of peer heavy episodic drinking, positive alcohol expectancies, or peak drinking quantity. Further, we did not find significant intervention or moderator effects for protective behavioral strategies. Conclusions: Results of this study extend the literature by demonstrating the efficacy of the eCHECKUP TO GO for both males and females on reducing cognitive risk factors and alcohol use, although results were significant for a broader range of variables for females. Results also indicate that program content regarding normative feedback and protective behavioral strategies may need modification to be more effective for this age group.

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... males only), whereas for the remaining 50%, behavior changes were recorded across all participant subgroups. For 17.5% of programs in Group 1, behavior change occurred in conjunction with changes in knowledge and/or attitudes [31][32][33][34][35][36][37], indicating the 'gold standard' for alcohol education outcomes. The remaining programs in Group 1 did not impact participants' knowledge and/or attitudes, or these aspects were not reported. ...
... The remaining programs in Group 1 did not impact participants' knowledge and/or attitudes, or these aspects were not reported. Programs in Group 2 only reported knowledge and/or attitude changes, for example: increased awareness of harm-reduction techniques to minimize negative effects of alcohol, such as alternating alcoholic and non-alcoholic drinks [37]; further awareness of alcohol overdose [38]; and, reductions in perceptions of peer drinking, that is, estimations of how much alcohol their peers consumed [39]. Among programs only changing knowledge and/or attitudes (Group 2), 83% reported that they aimed to change behavior among participants, but failed to do so. ...
... A further improvement for program developers to consider is the importance of transparency and detailed guidance, for those wishing to replicate programs and/or adapt the programs to be applied in other contexts. For example, within this review, e-CHUG was utilized for 10 separate projects by five different lead authors between 2008 and 2020 [37,[58][59][60][61][62][63][64][65][66] and each produced different results and outcomes. Generally, the quality scores increased as time progressed (scores ranged from 3 to 5) but there was no obvious improvement in behavioral outcomes over this time. ...
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Numerous education programs have addressed young peoples’ alcohol use. To date, no peer-reviewed publication has evaluated the effectiveness of such programs delivered across a range of contexts to change alcohol-related behaviors, attitudes and/or knowledge. This systematic review aimed to identify alcohol education programs addressing young people, and determine whether they changed alcohol-related behavior, knowledge and attitudes; and, ascertain components of successful programs. Studies were identified, guided by the PRISMA review process, from the earliest records until June 2020. Included studies (N = 70) comprised an alcohol education program which focused on young people (15–24 years). Forty programs reported behavior changes, and these programs were the highest quality. Others impacted attitudes and/or knowledge only (n = 12); or reported no impacts (n = 17). Recent programs were more likely than older programs to feature online delivery and report behavior changes. To enhance alcohol education, future programs should include the identified quality criteria, alongside process and long-term outcome evaluations, to better monitor effectiveness. Findings indicated some education programs have capacity to positively change alcohol-related behavior; however, outcome consistency varied even in high-quality programs. Alcohol education programs should be designed alongside health education/promotion models and best-practice recommendations, to improve the likelihood of desirable behavior-related outcomes.
... Several studies are available on the use of PBS in the context of alcohol drinking by mostly underage high school students. Among them was one cross-sectional study on predictors of adolescent risky drinking from the United States [94], two publications reporting the results of a longitudinal research project among students in the United States and Sweden [95,96] as well as two experimental studies testing the effectiveness of brief, online PBS-based intervention involving assessment (online survey) and personalised feedback on, among other things, drinking pattern, risk status and recommendations for PBS use (e.g., avoiding alcohol games, taking as long a break as possible between drinking alcohol) [97,98]. The results of these studies point to the protective role of PBS in reducing alcohol consumption and related consequences in this age group. ...
... wzoru picia, statusu ryzyka oraz rekomendacji stosowania PBS (np. unikanie gier alkoholowych, robienie jak najdłuższych przerw pomiędzy piciem alkoholu) [97,98]. Wyniki tych badań wskazują na ochronną rolę PBS w ograniczaniu spożywania alkoholu i związanych z tym konsekwencji w tej grupie wiekowej. ...
... Ready4life (Haug et al., 2021) Substance-related knowledge and attitudes, normative expectations, and skills for resisting media and peer influences to use, personal selfmanagement (decision-making and problem-solving ability, skills for identifying, analyzing, interpreting, and resisting media influences, skills for coping with negative emotions (e.g., anxiety, anger, and frustration), basic principles of personal behavior change and self-improvement (e.g., goalsetting, self-monitoring, and selfreinforcement) and social skills (communication, initiating social interactions, conversation, complimenting, skills related to malefemale relationships, and verbal and nonverbal assertive skills) eCHECKUP TO GO (Doumas et al., 2020) Personalized normative feedback on peer drinking, positive alcohol beliefs, and positive alcohol expectancies, as perceptions of peer drinking and cognitions about alcohol, protective behavioral strategies (e.g., social activities instead of partying) ALERT, Alerta Alcohol program ( Martinez-Montilla et al.,2020) Change students' beliefs about drug norms and the social, emotional, and physical consequences of using drugs; help them identify and resist pro-drug pressures from parents, peers, the media, and others; build resistance selfefficacy, the belief that one can successfully resist pro-drug influences Kripalu Yoga in the Schools (KYIS) curriculum (Butzer et al.,2017) Stress management, emotion regulation, self-appreciation, confidence, and strong peer relationships The GOOD life (Stock et al.,2016;Vallentin-Holbech et al., 2018) Social Norms Intervention (social norm and attitude) Brief alcohol intervention (Giles et al., 2016; Personalized feedback about the individual student's drinking behavior and attitude, behavior change counselling, advice about the health and social consequences of continued risky alcohol consumption Preventure (Barrett et al., 2015;Conrod, 2016) Psycho-education (personality profile), behavioral and cognitive coping skills (e.g., goal setting, cognitive restructuring), motivational interviewing MobileCoach Alcohol (Haug et al., 2014) Social norm interventions, outcome expectations, self-efficacy, planning processes Saluda program (Hernández-Serrano et al., 2013) Information on alcohol and illicit drugs, and their effects; information on causal factors (motivations) for drinking and taking pills among adolescents; advertising analysis; social skills and assertiveness skills; information on healthy leisure offers existing in the city; abilities in problem solving and decision making; public commitment to non-abuse of alcohol and synthetic drugs Motivational interviewing-oriented brief alcohol interventions (Gmel et al., 2012) Knowledge, attitude, motivation ...
... Coping skills for negative emotions (e.g., skills for coping with anxiety), Positive Valence Systems (PVS) includes Motivation to change behavior (e.g., self-reinforcement), Drug-free activities (e.g., information on healthy leisure offers existing in the city), Knowledge about drug reward (e.g., immediate rewards against personal values), Social Processes (SP) includes Social skills (e.g., communication skills), Social attitudes and selfperception for drugs (e.g., modifying attitude towards using drug), Social norms (e.g., personalized normative feedback), Social pressure resisting skills (e.g., refusal skills), Changing self/other perspective (perception of self and other), Self-related awareness and self-efficacy skills (e.g., belief in one's ability to overcome drug temptation), Self-monitoring (e.g., personal self-management), Drug effects on body and brain (e.g., accurate insight towards harmful effects of substances), Cognitive System (CS) includes Cognitive-management skills (e.g., problem solving), Cognitive empowerment skills (e.g., goal-setting), Cognitive-control skills (e.g., self-control skills), Arousal and Regulatory Systems (ARS) includes Stress management (e.g., coping skills for stress) References (In alphabetical order of the interventions): Alerta Alcohol program (Martinez-Montilla et al., 2020), Alcohol Misuse Prevention Study (AMPS) (Shope et al., 2001), Brief alcohol intervention (Giles et al., 2016;, WISEteens (Brief intervention for poly-drug use) (Arnaud et al., 2012), Climate Schools (now known as OurFutures) (Vogl et al., 2009;Slade et al., 2021), CognitionMotivation-Emotional Intelligence-Resistance Skills (CMER) (Guo et al., 2010), Drug education program (Midford et al., 2012), eCHECKUP TO GO (Doumas et al., 2020), IPSY (Spaeth et al., 2010), keepin' it REAL (Kulis et al., 2007), Kripalu Yoga in the Schools (KYIS) curriculum (Butzer et al., 2017), Life skills training (LST) (Seal, 2006;Botvin et al., 1990), Motivational interviewing-oriented brief alcohol interventions (MIBAI) (Gmel et al., 2012), MobileCoach Alcohol (Haug et al., 2014), Preventure (Barrett et al., 2015;Conrad, 2016), Project Toward No Drug Abuse (TND) (Sussman et al., 2011) Ready4life (Haug et al., 2021), Reconnecting Youth (Hallfors et al., 2006), RealTeen (Schwinn et al., 2010), these risk factors show some specificity in reducing risk for substance misuse and clinically significant levels of anxiety disorders and major depression (O'Leary- Barrett et al., 2013). The other example of a multi-dimensional program is life skill programs (LSPs) which target intra-and interpersonal skills (e.g., communication skills, empathy, assertiveness, problem solving and decision-making skills, coping with emotions and stress), as well as training substance-related skills (e.g., resistance skills), changing attitude, and improving substance-related knowledge (e.g., norms) (Wenzel et al., 2009). ...
... Ready4life (Haug et al., 2021) Substance-related knowledge and attitudes, normative expectations, and skills for resisting media and peer influences to use, personal self-management (decisionmaking and problem-solving ability, skills for identifying, analyzing, interpreting, and resisting media influences, skills for coping with negative emotions (e.g., anxiety, anger, and frustration), basic principles of personal behavior change and self-improvement (e.g., goal-setting, self-monitoring, and selfreinforcement) and social skills (communication, initiating social interactions, conversation, complimenting, skills related to male-female relationships, and verbal and nonverbal assertive skills) eCHECKUP TO GO (Doumas et al., 2020) Personalized normative feedback on peer drinking, positive alcohol beliefs, and positive alcohol expectancies, as perceptions of peer drinking and cognitions about alcohol, protective behavioral strategies (e.g., social activities instead of partying) ALERT, Alerta ...
... Behavioral interventions have shown promise in reducing both adolescent and young adult substance use, and many of these interventions include peer group components (Doumas et al., 2020a, b;Steele et al., 2020). We have conducted a series of randomized trials testing a peer network counseling (PNC) intervention targeting adolescent and young adult substance use. ...
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Aims: Childhood expectancies about alcohol are present long before drinking begins. We examined the relationship between alcohol expectancies in childhood and onset of drinking, binge drinking, and drunkenness in adolescence and the influence of drinking onset on development of alcohol expectancies. Design: A prospective, longitudinal study of children assessed for alcohol expectancies and drinking at 4 time points between ages 6 and 17. Setting: Community study of families at high risk for alcoholism conducted in a 4-county area in the Midwest. Participants: The study involved 614 children; 460 were children of alcoholics and 70% were male. Measurements: Expectancies about effects of alcohol were measured using the Beverage Opinion Questionnaire and child???s drinking was measured using the Drinking and Drug History - Youth Form. Findings: Partial factor invariance was found for expectancy factors from age 6 to age 17. Survival analysis showed that social/relaxation expectancies in childhood predicted time to onset of binge drinking and first time drunk (Wald chi-square, 1 d.f. = 3.8, p < .05 and 5.1, p < .05, respectively). The reciprocal effect was also present; when adolescents began drinking, there was an increase in social/relaxation expectancy and a concomitant increase in slope of the expectancy change lasting throughout adolescence. Conclusions: A reciprocal relationship exists between childhood alcohol expectancies and involvement with alcohol. Higher expectancies for positive effects predict earlier onset of problem drinking. Onset of use, in turn, predicts an increase in rate of development of positive expectancies.
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To examine the longitudinal associations between moral disengagement, alcohol related expectancies, perceived self-regulatory efficacy and alcohol use amongst adolescents. A total of 367 students (mean age=13.1, SD=0.51; 65% male) from five schools across Sydney, Australia took part in this longitudinal study. Participants completed a self-report questionnaire at four time points across an 18month period which assessed their alcohol use, levels of moral disengagement, alcohol related expectancies and perceived self-regulatory efficacy to resist peer pressure to engage in transgressive behaviours. Over time, rates of binge drinking in the past three months significantly increased, but rates of drinking any alcohol in the past three months remained stable. As hypothesised, all three cognitions were independently and consistently associated with adolescent alcohol use and binge drinking over time, with the exception of perceived self-regulatory efficacy which was not associated with an increased risk of drinking any alcohol in the past three months when controlling for moral disengagement, alcohol expectancies, gender and age. The current study is the first study to longitudinally map three distinct cognitive factors associated with adolescent alcohol use. Considering the alarming number of adolescents drinking at levels that place them at risk of significant harm, this study has provided important implications about cognitive factors that can be targeted to increase the accuracy of assessment and efficacy of prevention for alcohol misuse amongst adolescents.
Article
Alcohol use increases substantially during the transition from middle school to high school. This study tested a brief, web-based personalized feedback program aimed at reducing risk factors for drinking, alcohol use, and alcohol-related consequences among 9th grade students. At a 3-month follow-up, students in the intervention group showed positive results relative to those in the control group on variables associated with reduced risk, including positive alcohol expectancies and positive beliefs about alcohol. Students in the intervention group also reported a reduction in drinking frequency and alcohol-related consequences relative to those in the control group. There were, however, no differences in normative beliefs regarding peer drinking or quantity of weekly drinking between the two groups. Results indicate that a brief, web-based personalized normative feedback program delivered in the school setting is a promising approach to reducing alcohol use and the associated consequences among 9th grade students.
Article
Issues: The use of alcohol and drugs amongst young people is a serious concern and the need for effective prevention is clear. This paper identifies and describes current school-based alcohol and other drug prevention programs facilitated by computers or the Internet. Approach: The Cochrane Library, PsycINFO and PubMed databases were searched in March 2012. Additional materials were obtained from reference lists of papers. Studies were included if they described an Internet- or computer-based prevention program for alcohol or other drugs delivered in schools. Key findings: Twelve trials of 10 programs were identified. Seven trials evaluated Internet-based programs and five delivered an intervention via CD-ROM. The interventions targeted alcohol, cannabis and tobacco. Data to calculate effect size and odds ratios were unavailable for three programs. Of the seven programs with available data, six achieved reductions in alcohol, cannabis or tobacco use at post intervention and/or follow up. Two interventions were associated with decreased intentions to use tobacco, and two significantly increased alcohol and drug-related knowledge. Conclusion: This is the first study to review the efficacy of school-based drug and alcohol prevention programs delivered online or via computers. Findings indicate that existing computer- and Internet-based prevention programs in schools have the potential to reduce alcohol and other drug use as well as intentions to use substances in the future. These findings, together with the implementation advantages and high fidelity associated with new technology, suggest that programs facilitated by computers and the Internet offer a promising delivery method for school-based prevention.
Article
Blood alcohol concentrations (BACs) in children after consumption of different numbers of standard drinks of alcohol have not been estimated previously. The goal was to determine the number of drinks at each age that led to a BAC of > or =80 mg/dL, the National Institute on Alcohol Abuse and Alcoholism criterion for binge drinking. The updated Widmark equation to estimate BAC was modified to take account of the differing body composition (total body water) and accelerated rates of ethanol elimination of children. The modified formula was used with 1999-2002 National Health and Nutrition Examination Survey data to estimate BACs for >4700 children and adolescents from 9 through 17 years of age, for intake levels of 1 to 5 standard drinks. The estimated BACs for children after consumption of just 3 standard drinks within a 2-hour period were between 80 and 139 mg/dL for boys 9 to 13 years of age and for girls 9 to 17 years of age, indicating substantial potential alcohol impairment. With 5 drinks within 2 hours (the level used to define binge drinking among college students), children 9 to 13 years of age were estimated to have BACs 2 to 3 times the adult legal limit for intoxication of 80 mg/dL. Binge drinking should be defined as > or =3 drinks for 9- to 13-year-old children, as > or =4 drinks for boys and > or =3 drinks for girls 14 or 15 years of age, and as > or =5 drinks for boys and > or =3 drinks for girls 16 or 17 years of age.
Article
The present study surveyed 930 high school students regarding self-reported alcohol use, their perceptions of parents and peers, and the negative consequences of drinking. Two-fifths of males and one-fifth of females reported frequent problem (binge) drinking. Problem drinkers reported more negative consequences associated with drinking. In addition, problem drinkers reported greater susceptibility to peer pressure, perceived their peers as drinking more, and reported less parental monitoring and more use of alcohol by parents. The results demonstrate the importance of both parent and peer variables in adolescent substance use and highlight the negative consequences of drinking reported by high school students.
Article
Underage drinking contributes to the 3 leading causes of death (unintentional injury, homicide, and suicide) among persons aged 12 to 20 years. Most adverse health effects from underage drinking stem from acute intoxication resulting from binge drinking. Although binge drinking, typically defined as consuming > or = 5 drinks on an occasion, is a common pattern of alcohol consumption among youth, few population-based studies have focused specifically on the characteristics of underage binge drinkers and their associated health risk behaviors. We analyzed data on current drinking, binge drinking, and other health risk behaviors from the 2003 National Youth Risk Behavior Survey. Prevalence estimates and 95% confidence intervals were calculated by using SAS and SUDAAN statistical software. Logistic regression was used to examine the associations between different patterns of alcohol consumption and health risk behaviors. Overall, 44.9% of high school students reported drinking alcohol during the past 30 days (28.8% binge drank and 16.1% drank alcohol but did not binge drink). Although girls reported more current drinking with no binge drinking, binge-drinking rates were similar among boys and girls. Binge-drinking rates increased with age and school grade. Students who binge drank were more likely than both nondrinkers and current drinkers who did not binge to report poor school performance and involvement in other health risk behaviors such as riding with a driver who had been drinking, being currently sexually active, smoking cigarettes or cigars, being a victim of dating violence, attempting suicide, and using illicit drugs. A strong dose-response relationship was found between the frequency of binge drinking and the prevalence of other health risk behaviors. Binge drinking is the most common pattern of alcohol consumption among high school youth who drink alcohol and is strongly associated with a wide range of other health risk behaviors. Effective intervention strategies (eg, enforcement of the minimum legal drinking age, screening and brief intervention, and increasing alcohol taxes) should be implemented to prevent underage alcohol consumption and adverse health and social consequences resulting from this behavior.
Article
The epidemiological features of underage drinking and evidence of its social, health, and economic consequences suggest compelling reasons for the development and dissemination of effective preventive interventions. To clarify the nature and extent of the current evidence base on preventive interventions addressing underage drinking, a review of the literature was conducted through extensive searches of the research literature on outcome evaluations, existing reviews of this body of outcome research (N = 25), and summary reports of evidence on specific interventions. More than 400 interventions were identified and screened, and the evidence for 127 was reviewed. Criteria for the evaluation of evidence were established for intervention studies with alcohol-specific outcome measures for 3 developmental periods (< 10, 10-15, and 16 to > or = 20 years of age). Ultimately, 12 interventions met criteria for "most promising" evidence and 29 met criteria for "mixed or emerging" evidence. Conducting this review revealed clear advances in the number of evidence-based interventions available and the quality of outcome research; however, much work remains to achieve greater public health impact through evidence-based interventions. This work should consider (1) the great need for intervention research related to understudied developmental phases, intervention domains (eg, family, school, community, and media), and populations (eg, early tweens, late teens, young adults not attending college, and nonmajority populations); (2) the critical importance of addressing key issues in research design and methods (eg, limited longitudinal studies, replication studies, and dissemination research); and (3) the need for improved consistency in application of evidence and reporting standards. Finally, we recommend the application of emerging consumer-oriented and community-participatory models for intervention development and research, designed to increase the likelihood of "real-world" public health impact through improved translation of intervention science into practice.