Article

A Randomized Controlled Trial of the eCHECKUP to GO for High School Seniors across the Academic Year

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Abstract

Background Among high school students, seniors report the highest levels of alcohol use and hazardous drinking. Technology-based interventions are a promising approach for reducing alcohol use among this age group. Objectives: This randomized controlled trial investigated the efficacy of the eCHECKUP TO GO, an online personalized feedback intervention, on reducing alcohol use among high school seniors across the academic year (ClinicalTrials.gov Identifier NCT03613818). Drinker risk status, with students classified as high- or low-risk drinkers based on baseline reports binge drinking, was examined as a moderator of intervention effects. Method: Participants (N = 311) were recruited from two high schools. Class periods were randomized to the intervention condition or an assessment-only control condition. Participants completed online surveys at baseline, 30-day, and 6-month assessments. Results: Intervention effects were moderated by drinker risk status. Among high-risk drinkers, those in the intervention condition reported a significant reduction in weekly drinking quantity and estimated blood alcohol concentration (eBAC) at the 30-day follow-up relative to students in the control condition. By 6 months, reductions in alcohol outcomes among high-risk students in the intervention condition were sustained, but high-risk students in the control condition also reported reductions in weekly drinking. In contrast, for eBAC, intervention effects were significantly greater among students in the intervention condition relative to the control condition at 6 months. Conclusions: Results support the efficacy of the eCHECKUP TO GO for decreasing short-term alcohol use among seniors who are high-risk drinkers and provide preliminary evidence that reductions are sustained across the academic year.

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... In total, 18 records met all the inclusion criteria, describing a total of 14 different interventions. We found five records with the same main author describing the same intervention (The eCHECKUP TO GO) [24][25][26][27][28], so prevent duplicate studies that might lead to biased results, we assessed the time of recruitment, the sample size, and the time of follow-up [29]. The decision was to include in the narrative synthesis the work of Doumas, D. M. et al., (2021) since it had the best combination of the longest time of follow-up (6 months) with the greatest sample size (n = 311) [28]. ...
... We found five records with the same main author describing the same intervention (The eCHECKUP TO GO) [24][25][26][27][28], so prevent duplicate studies that might lead to biased results, we assessed the time of recruitment, the sample size, and the time of follow-up [29]. The decision was to include in the narrative synthesis the work of Doumas, D. M. et al., (2021) since it had the best combination of the longest time of follow-up (6 months) with the greatest sample size (n = 311) [28]. ...
... From among the 14 included studies, 6 were conducted in the United States of America (42.9%) [28,[30][31][32][33][34], 3 in European countries (21.4%) [35][36][37], 3 in Asian countries (21.4%) [38][39][40] and 2 in Mexico (14.3%) [41,42]. Of those, 10 were implemented in an educational setting (71.4%) [28,30,32,33,[37][38][39][40][41][42]. ...
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This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to: • produce handsome, publication-quality plots with automatic legends created from the plot specification • superimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scales • add customizable smoothers that use powerful modeling capabilities of R, such as loess, linear models, generalized additive models, and robust regression • save any ggplot2 plot (or part thereof) for later modification or reuse • create custom themes that capture in-house or journal style requirements and that can easily be applied to multiple plots • approach a graph from a visual perspective, thinking about how each component of the data is represented on the final plot This book will be useful to everyone who has struggled with displaying data in an informative and attractive way. Some basic knowledge of R is necessary (e.g., importing data into R). ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page. New to this edition:< • Brings the book up-to-date with ggplot2 1.0, including major updates to the theme system • New scales, stats and geoms added throughout • Additional practice exercises • A revised introduction that focuses on ggplot() instead of qplot() • Updated chapters on data and modeling using tidyr, dplyr and broom
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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.
Using multivariate statistics
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  • L S Fidell
Programming with ggplot2
  • H Wickham
Principles and applications of medicolegal alcohol determination (Die theoretischen Grundlagen und die praktische Verwendbarkeit der gerichtlich-medizinischen Alkoholbestimmung- German)
  • E M P Widmark
Drinking game participation among high school and incoming college students
  • B L Zamboanga
  • C C Tomaso
  • R M Cloutier
  • H Blumenthal
  • S R Kenney
  • B Borsari
Brief Alcohol Screening and Intervention for College Students (BASICS): A harm reduction approach
  • L A Dimeff
  • J S Baer
  • D R Kivlahan
  • G A Marlatt
A sharper Bonferroni procedure for multiple significance testing
  • Y Hochberg