The Efficacy of Targeted Mindfulness-Based Interventions for Improving Mental Health and Cognition Among Youth and Adults with ACE Histories: A Systematic Mixed Studies Review.

Mindfulness-based interventions (MBIs) are associated with increased psychological wellbeing. The literature suggests that individuals exposed to adverse childhood experiences (ACEs) may benefit greatly from MBIs. However, research has tended to focus on universal MBIs for this population with less attention on the effectiveness of targeted approaches. Moreover, there is growing concern regarding the methodological rigor of MBI research. This systematic mixed studies review (SMRS) reports the effectiveness of MBIs for improving mental health and cognition among individuals with ACE histories. Additionally, the review reports the quality and rigor of the included research. Systematic searches of PsycInfo, EMBASE, MEDLINE, ProQuest Dissertations and Theses, ProQuest Social Science database and the Child Development and Adolescent Studies database were conducted. Results were screened and data were extracted then synthesized using a data-based convergent synthesis design. Thirteen studies were included in the final review. Six prominent themes emerged. Themes indicated that MBIs were effective for improving mental health and cognition for individuals with ACEs. For example, improvements in mood and anxieties, as well as a better ability to manage emotions. Shortcomings in the quality of MBI research included lack of reporting of methodological details (e.g., randomization procedures) and not systematically reporting adverse event evaluations. Recommendations are made for future research to strengthen the evidence base for MBIs for individuals with ACEs. Supplementary Information: The online version contains supplementary material available at 10.1007/s40653-022-00454-5.

Tools for Transport: Driven to Learn With Connected Vehicles.

Vehicle automation and assistance technologies have been touted as a means to reduce traffic collisions by minimizing or eliminating "error-prone" and inefficient human operators. In concept, automation exists on a continuum that includes engaged driving by a human operator augmented by automated support features, vigilant driver monitoring of vehicle behavior with the possibility of driver take-over, to full automation with no active monitoring by a human operator. Moreover, the degree of automation varies by vehicle features (e.g., lane centering, emergency braking, adaptive cruise control, parking), by setting, meaning that automated features may or may not be available depending on specific attributes of the traffic environment (e.g., traffic volume, road geometry, etc), and by implementation (e.g., haptic vs. auditory warnings). Thus, these automotive "transportation tools" are highly heterogeneous and pose unique challenges and opportunities for driver training. In this paper, we report the results of an experimental study (n = 36) to determine if enhanced vehicle feedback influences driver trust, effort, frustration, and performance (indexed by reaction time) in a virtual driving environment. Results are contextualized in the extant literature on learning to operate motor vehicles and outline key research questions essential for understanding the processes by which skilled performance develops with respect to a real-world practical tool: the increasingly automated automobile.

An Evaluation of Dual Systems Theories of Adolescent Delinquency in a Normative Longitudinal Cohort Study of Youth.

Dual systems theories of adolescent risk-taking propose that the socioemotional and self-regulation systems develop at different rates, resulting in a peak in sensation-seeking in adolescence at a time when self-regulation abilities are not yet fully mature. This "developmental imbalance" between bottom-up drives for reward and top-down control is proposed to create a period of vulnerability for high-risk behaviors such as delinquency, substance use, unprotected sex, and reckless driving. In this study, data from the Swiss longitudinal normative z-proso study (n = 1522, n = 784 male; aged 11, 13, 15, 17, and 20) were used to test whether the presence of a developmental imbalance between sensation-seeking and self-regulation is associated with trajectories of engagement in delinquency across early adolescence to adulthood. Using a latent class growth analysis of sensation-seeking, self-regulation, and delinquency, it was found that a model with 3 classes was optimal in the whole sample and male sub-sample, including one class characterized by a developmental imbalance and corresponding adolescent peak in delinquency. In females, there was no evidence for a class that could be described according to the trajectories hypothesized in dual systems theory. This study's results support the claim that a developmental imbalance may drive an adolescent increase in delinquency. However, this applies only to a small subgroup of individuals, particularly males.

Variations in booster seat use by child characteristics.

INTRODUCTION: Child weight and height are the basis of manufacturer and best practice guidelines for child restraint system use. However, these guides do not address behavioral differences among children of similar age, weight, and height, which may result in child-induced restraint use errors. The objective of this study was to characterize child behaviors across age in relation to appropriate restraint system use during simulated drives. METHODS: Fifty mother-child (4-8 years) dyads completed an installation into a driving simulator, followed by a simulated drive that was video-recorded and coded for child-induced errors. Time inappropriately restrained was measured as the total amount of the simulated drive spent in an improper or unsafe position for the restraint to be effective divided by the total drive time. Kruskal-Wallis tests were used to determine differences across age in the frequency of error events and overall time inappropriately restrained. RESULTS: Children in harnessed seats had no observed errors during trips. Within children sitting in booster seats there were differences in time inappropriately restrained across age (p = 0.01), with 4 year-olds spending on average 67% (Median = 76%) of the drive inappropriately restrained, compared to the rest of the age categories spending less than 28% (Medians ranged from 3% to 23%). CONCLUSION: Some children may be physically compatible with booster seats, but not behaviorally mature enough to safely use them. More research is needed that examines how child behavior influences child passenger safety. Practical Applications: Not all children physically big enough are behaviorally ready to use belt positioning booster seats. Primary sources of information should provide caregivers with individualized guidance about when it is appropriate to transition children out of harnessed seats. Additionally, best practice guidelines should be updated to reflect what behaviors are needed from children to safely use specific types of child restraint systems.

Assessment of Caregiver-Targeted Interventions for Use of Motor Vehicle Passenger Safety Systems for Children: A Systematic Review and Meta-analysis.

Importance: Caregiver-targeted interventions to improve the use of child restraint systems (CRS) in motor vehicles are common and heterogeneous in their implementation. The effectiveness of these interventions is unknown. Objectives: To quantify the effects of caregiver-targeted interventions using meta-analytic methods, assess the quality of published studies, and assess for publication bias. Data Sources: PubMed and PsychINFO (January 1, 2004, to April 1, 2019) were searched for English-language studies using a list of search terms. The search and screening process was completed between May 25, 2018, and April 1, 2019. Study Selection: Studies met inclusion criteria if they included a caregiver-targeted intervention that focused on increasing CRS use for children (age, ≤9 years) and report the use of CRS before and after the intervention. Data Extraction and Syntheses: Cochrane and PRISMA guidelines were used for the meta-analysis and risk-of-bias review. Information was extracted on intervention type, setting, implementation, and attributes of the study independently between 2 coders. Data were pooled from independent samples, with 1 outcome measure from each intervention implementation or study. Main Outcomes and Measures: This study was an exploratory random-effects meta-analysis. Unadjusted odds ratios were calculated using the sample size and the observed number of children in incorrect or correct restraints in motor vehicles before and after the intervention to determine the odds of incorrect CRS use after completing an intervention. Setting, measurement method, randomization, use of vouchers, and types of restraint were tested as moderators. A funnel plot was used to assess for publication bias. Results: Of 1240 potential articles, 51 were deemed eligible for screening and 10 (8238 participants total) were included in the meta-analysis. Caregiver-targeted interventions were associated with a reduction in the number of children not riding in a CRS (odds ratio, 0.51; 95% CI, 0.36-0.71; P < .001). Variance in the averaged effect size was driven by self-report methods (when removed from analyses, I2 = 61.8%; R2 change = 26.3; P = .02) and hospital settings (when removed from analyses, I2 = 70.7%; R2 change = 17.4; P = .002). Risk of bias was high in most studies; however, there was low evidence for publication bias. Conclusions and Relevance: In this meta-analysis, caregiver-targeted interventions were associated with a reduction in the number of children not riding in a CRS in motor vehicles; however, the methodological rigor of intervention studies should be enhanced.

Learning to drive: A reconceptualization.

Drivers' population-level crash rates incrementally decrease following licensure, which has led to the implicit assumption that an individual driver's crash risk also decreases incrementally after licensure as they accrue experience. However, in the aggregate data an incremental decrease in crash rate can reflect both incremental reductions in crash risk within individuals and an incremental increase in the proportion of drivers who have experienced an abrupt decrease in crash risk. Therefore, while it is true to say that the population of drivers' crash risk reduces in the months following licensure, it is not necessarily true to say that a driver's crash risk reduces in the months following licensure; that is, it cannot be assumed that individual-level changes in crash risk mirror the population-level changes in crash rates. In statistics, this is known as an ecological fallacy and in formal logic it is known as the fallacy of division, a type of category error. Using computational cognitive modeling methods we demonstrate that aggregating individual-level abrupt decreases in crash risk (i.e., non-incremental change trajectories) accurately fits population-level crash rate data from over 1 million adolescents and uniquely accounts for effects of two interventions found to reduce police-reported MVCs. Thus, we demonstrate that (1) a power-law artifact is readily observable in newly licensed drivers' aggregate crash data, which is not necessarily indicative of individual-level change processes, (2) interventions can alter crash risk trajectories by inducing immediate phase changes in crash risk into a lower risk stratum, or increasing the probability of such a change, (3) a phase transition model provides a stronger and more parsimonious account of the existing data than an incremental-accrual model.