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In response to a need to implement an evidence-based prevention program, D.A.R.E. America adopted keepin’ it REAL . The program was previously developed and tested in middle school settings. As part of its adoption, an elementary version of the program was developed. This study tests the effectiveness of keepin’ it REAL when delivered to fifth graders. The intervention was delivered to two cohorts of students, the first in the 2019–2020 school year, the second in the 2020–2021 school year. Pretest surveys were completed by 6,122 students. The COVID-19 pandemic interfered with posttest and follow-up data collection. At immediate posttest, 2,049 students (33.5%) completed analyzable posttest surveys. One year after the pretest, 1,486 (24.3%) students completed usable follow-up surveys. We used algorithmically generated cases (virtual controls) that use treatment cases’ pretest psychosocial scores to assess program effectiveness. When compared to virtual control cases, the program had identifiable improvements in both a key psychosocial measure and in terms of deterring the onset of 30-day alcohol use, drunkenness, and vaping. Outcomes suggest that the delivery of elementary school keepin’ it REAL by D.A.R.E. officers is having a positive effect in terms of deterring the onset of alcohol use and vaping.

Sleep is an important determinant of collegiate athlete health, well-being and performance. However, collegiate athlete social and physical environments are often not conducive to obtaining restorative sleep. Traditionally, sleep has not been a primary focus of collegiate athletic training and is neglected due to competing academic, athletic and social demands. Collegiate athletics departments are well positioned to facilitate better sleep culture for their athletes. Recognising the lack of evidence-based or consensus-based guidelines for sleep management and restorative sleep for collegiate athletes, the National Collegiate Athletic Association hosted a sleep summit in 2017. Members of the Interassociation Task Force on Sleep and Wellness reviewed current data related to collegiate athlete sleep and aimed to develop consensus recommendations on sleep management and restorative sleep using the Delphi method. In this paper, we provide a narrative review of four topics central to collegiate athlete sleep: (1) sleep patterns and disorders among collegiate athletes; (2) sleep and optimal functioning among athletes; (3) screening, tracking and assessment of athlete sleep; and (4) interventions to improve sleep. We also present five consensus recommendations for colleges to improve their athletes’ sleep.

For many organisms, searching for relevant targets such as food or mates entails active, strategic sampling of the environment. Finding odorous targets may be the most ancient search problem that motile organisms evolved to solve. While chemosensory navigation has been well characterized in microorganisms and invertebrates, spatial olfaction in vertebrates is poorly understood. We have established an olfactory search assay in which freely moving mice navigate noisy concentration gradients of airborne odor. Mice solve this task using concentration gradient cues and do not require stereo olfaction for performance. During task performance, respiration and nose movement are synchronized with tens of milliseconds precision. This synchrony is present during trials and largely absent during inter-trial intervals, suggesting that sniff-synchronized nose movement is a strategic behavioral state rather than simply a constant accompaniment to fast breathing. To reveal the spatiotemporal structure of these active sensing movements, we used machine learning methods to parse motion trajectories into elementary movement motifs. Motifs fall into two clusters, which correspond to investigation and approach states. Investigation motifs lock precisely to sniffing, such that the individual motifs preferentially occur at specific phases of the sniff cycle. The allocentric structure of investigation and approach indicates an advantage to sampling both sides of the sharpest part of the odor gradient, consistent with a serial-sniff strategy for gradient sensing. This work clarifies sensorimotor strategies for mouse olfactory search and guides ongoing work into the underlying neural mechanisms.

This study analyzed measures aggregated at the school level to identify key predictors of drinking alcohol, binge drinking, smoking cigarettes, and using marijuana. Using data collected from 6th through 12th grade students between 2011 and 2015, we identify school-level variables that predict school-level prevalence in the subsequent year. Data included prior year assessments of: (1) school-wide prevalence, (2) perceived ease of access to drugs, (3) perceived adult disapproval of drug use, (4) perceived peer disapproval of drug use, and (5) perceived prevalence of drug use. We regressed grade-level behaviors on predictor variables from the previous school year. In middle schools, prior grade prevalence and prior grade perceived norms were significant predictors of subsequent grade prevalence. For high schools, prior year prevalence, aggregated peer norms, and perceived ease of access predicted subsequent use. These analyses provide evidence that a school’s culture is predictive of changes in prevalence over time.

In natural contexts, sensory processing and motor output are closely coupled, which is reflected in the fact that many brain areas contain both sensory and movement signals. However, standard reductionist paradigms decouple sensory decisions from their natural motor consequences, and head-fixation prevents the natural sensory consequences of self-motion. In particular, movement through the environment provides a number of depth cues beyond stereo vision that are poorly understood. To study the integration of visual processing and motor output in a naturalistic task, we investigated distance estimation in freely moving mice. We found that mice use vision to accurately jump across a variable gap, thus directly coupling a visual computation to its corresponding ethological motor output. Monocular eyelid suture did not affect gap jumping success, thus mice can use cues that do not depend on binocular disparity and stereo vision. Under monocular conditions, mice altered their head positioning and performed more vertical head movements, consistent with a shift from using stereopsis to other monocular cues, such as motion or position parallax. Finally, optogenetic suppression of primary visual cortex impaired task performance under both binocular and monocular conditions when optical fiber placement was localized to binocular or monocular zone V1, respectively. Together, these results show that mice can use monocular cues, relying on visual cortex, to accurately judge distance. Furthermore, this behavioral paradigm provides a foundation for studying how neural circuits convert sensory information into ethological motor output.

The mental health crisis across college campuses is accelerating, with anxiety listed as the top mental health issue for undergraduate college students. Although evidence suggests the COVID-19 pandemic escalated the mental health crisis on college campuses, pre-COVID-19 anxiety among college students was on the rise. Research supports Mindfulness Based Interventions (MBIs) to reduce anxiety among college students. Additionally, exposure to natural environments, which are accessible to students on college campuses, is effective in reducing anxiety. While brief nature-based mindfulness interventions appear effective in reducing anxiety among college students, these interventions are often offered in isolation without social interaction among group members and lack intentional integration of mindfulness and nature-related theories. The purpose of this work is to describe a framework for integrating the use of Mindfulness and Attention Restoration Theory (ART) in an innovative psychoeducational group intervention, Nature-Based Mindfulness Training © (NBMT), for college students with anxiety. In conclusion, we argue for the need to intentionally integrate mindfulness and nature into nature-based mindfulness interventions as an effective and sustainable means to reduce anxiety. Limitations and areas for future research are described.

The goal of the current study is to examine the degree to which measures of quality of implementation and student engagement moderate pretest–posttest changes in mediating variables that are targeted by DARE “keepin’ it REAL.” DARE officers (10 elementary school, five middle school) taught DARE “keepin’ it REAL lessons to 1,017 elementary students (480 boys and 534 girls) and 435 middle school students (217 boys and 215 girls). We examined teachers’ and students’ ratings of elementary and middle schools in response to DARE officers’ delivery of the program. HLM analyses revealed that students’ engagement was a significant and meaningful predictor of changes in targeted mediators. Teachers’ ratings of student responsiveness added little in terms of understanding these outcomes with main effects observed only for students’ ability to respond to bulling and students’ estimates of peer drug use. Teachers’ ratings of the quality of officer implementation, on the other hand, did add to understanding students’ outcomes. Effects were seen for three (peer norms about drug use, decision-making (DM) skills, intentions to avoid drug use) out of six outcome variables and suggest a stronger positive effect for elementary versus middle school students. At least for these three outcomes, understanding quality of implementation added to our ability to interpret results. Specifically, in addition to students’ engagement, quality of implementation (which varied by grade) contributed to achieving positive changes in students’ outcomes.

Background Determining the prevalence of doping within an elite athlete population is challenging due to the extreme sensitivity of the topic; however, understanding true doping prevalence is important when designing anti-doping programs and measuring their effectiveness. The objective of this study was to estimate the prevalence of doping among Olympic, Paralympic, World, and National-level competitive athletes in the United States subject to the World Anti-Doping Code. All athletes who were subject to the U.S. Anti-Doping Agency’s Protocol for Olympic and Paralympic Movement Testing, a World Anti-Doping Code (“Code”)-compliant anti-doping program, were invited to complete a web-delivered survey. Using a direct questioning approach, the survey items asked athletes whether they had used each specific category of banned substance / method on the World Anti-Doping Agency’s Prohibited List. Multiple strategies to encourage honest reporting (e.g., protecting anonymity by collecting minimal demographic information; using an outside organization to administer the survey) and to detect inconsistent responses were used. Results Depending on the method of calculation, 6.5–9.2% of the 1,398 respondents reported using one or more prohibited substances or methods in the 12 months prior to survey administration. Specific doping prevalence rates for each individual substance / method categories ranged from 0.1% (for both diuretics / masking agents and stem cell / gene editing) to 4.2% for in-competition use of cannabinoids. Conclusion Determining the prevalence of doping within different athlete populations is critical so that sport governing bodies can evaluate their anti-doping efforts and better tailor their programming. By measuring doping prevalence of specific categories of substances and methods, rather than just the overall prevalence of doping, this study also highlights where sport governing bodies should focus their future educational and detection efforts. Key Points Estimated doping prevalence among U.S. elite athletes ranged from 6.5 to 9.2%. The most prevalent category of doping was in-competition use of cannabinoids (at 4.2%), whereas the least prevalent categories of doping were diuretics or masking agents (0.1%), stem cell or gene editing (0.1%), narcotics (0.2%), and hormone and metabolic modulators (0.2%). Of the athletes who reported doping, most reported using only one substance or method.

Lay Summary Rates of drug use among collegiate athletes are high, yet there are few evidence-based interventions for this population, and the few existing interventions only address alcohol use. In addition, alcohol and drug use interventions targeting college students are not always as effective or efficient as they could be. Our goal was to strengthen modules from myPlaybook, an online drug use intervention for collegiate athletes as a way to optimize the full intervention package. We conducted three intervention trials. Each trial occurred in separate academic years and included 2,000–3,000 athletes from 40 to 50 colleges and universities. We randomly assigned athletes to receive one or more intervention modules that target known risk factors for drug use (i.e., social norms, expectancies about the effects of drug use, harm prevention strategies, and life skills). We used the results about the effects of each module to improve the module prior to the next trial. After these trials, the revised modules targeting social norms and expectancies about drug use had meaningful effects, increasing the likelihood that the full myPlaybook intervention will lead to clinical reductions in drug use among collegiate athletes. Abstract Background Rates of drug use among collegiate athletes are high, yet there are few evidence-based interventions for this population. myPlaybook, an online intervention for collegiate athletes, targets multiple predictors of drug use (i.e., norms, positive and negative expectancies about use, and harm prevention intentions). Purpose We aimed to optimize modules from myPlaybook. Method We evaluated modules through three sequential randomized factorial trials, using the Multiphase Optimization Strategy framework. We recruited and randomized 54 (Trial 1), 47 (Trial 2), and 42 (Trial 3) schools and invited all first-year and transfer collegiate athletes to participate. Athletes completed a baseline survey, their randomly assigned modules, and immediate posttest and 30-day follow-up surveys. Across trials, 3,244 (48.8% female), 2,837 (51.9% female), and 2,193 (51.4% female) athletes participated. In Trial 1, we evaluated and revised less effective modules (defined as d < 0.3–0.4 for targeted outcomes). In Trial 2, we re-evaluated and revised less effective modules. In Trial 3, we re-evaluated the revised modules. Results Trial 1: All effects were d < 0.15, so we revised modules to target proximal outcomes (i.e., the hypothesized mediating variables in our conceptual model), rather than specific drug use behaviors. Trial 2: Most effects were d < 0.3, so we revised all modules. Trial 3: The norms module improved descriptive and injunctive norms (all d >0.35). The expectancies module improved alcohol positive expectancies (d = 0.3). The other modules were not effective. Conclusions After three trials, two myPlaybook modules substantially improved proximal outcomes, increasing the likelihood that the combined intervention will have a meaningful clinical impact on collegiate athletes’ drug use.

Given current pressures to increase the public health contributions of behavioral interventions, intervention scientists may wish to consider moving beyond the classical treatment package approach that focuses primarily on achieving statistical significance. They may wish also to focus on goals directly related to optimizing public health impact. The Multiphase Optimization Strategy (MOST) is an innovative methodological framework that draws on engineering principles to achieve more potent behavioral interventions. MOST is increasingly being adopted by intervention scientists seeking a systematic framework to engineer an optimized intervention. As with any innovation, there are challenges that arise with early adoption. This article describes the solutions to several critical questions that we addressed during the firstever iterative application of MOST. Specifically, we describe how we have applied MOST to optimize an online program (myPlaybook) for the prevention of substance use among college student-athletes. Our application of MOST can serve as a blueprint for other intervention scientists who wish to design optimized behavioral interventions. We believe using MOST is feasible and has the potential to dramatically improve program effectiveness thereby advancing the public health impact of behavioral interventions.