Validation of a contextualized assessment of smoking behaviour in students

Development of pediatric simulation-based education - a systematic review

BACKGROUND

This systematic literature review explored the general characteristics, validation, and reliability of pediatric simulation-based education (P-SBE).

METHODS

A literature search was conducted between May 23 and 28 using the PRISMA guidelines, which covered databases such as MEDLINE, EMBASE, CINAHL, and Cochrane Library. In the third selection process, the original texts of 142 studies were selected, and 98 documents were included in the final content analysis.

RESULTS

A total of 109 papers have been published in the ten years since 2011. Most of the study designs were experimental studies, including RCT with 76 articles. Among the typologies of simulation, advanced patient simulation was the most common (92), and high-fidelity simulation was the second most common (75). There were 29 compatibility levels and professional levels, with 59 scenarios related to emergency interventions and 19 scenarios related to communication feasibility and decision making. Regarding the effect variable, 65 studies confirmed that skills were the most common. However, validity of the scenarios and effect variables was not verified in 56.1% and 67.3% of studies, respectively.

CONCLUSION

Based on these findings, simulation based-education (SBE) is an effective educational method that can improve the proficiency and competence of medical professionals dealing with child. Learning through simulation provides an immersive environment in which learners interact with the presented patient scenario and make decisions, actively learning the attitudes, knowledge, and skills necessary for medical providers. In the future, it is expected that such research on SBE will be actively followed up and verified for its validity and reliability.

Examination of social smoking classifications using a machine learning approach

INTRODUCTION

Idiosyncratic definitions of social smoking proliferate in the literature, making cross-study comparison challenging. This project investigated and differentiated four distinct classifications of social smoking using traditional modeling techniques as well as a multilayer perceptron artificial network, a novel machine learning approach suited for heterogeneous, multidimensional data.

METHODS

One hundred thirty-three adults recruited from a college in the Pacific Northwest and from Amazon Mechanical Turk, age 18 to 25 (48% men; 37% women; 8% nonbinary; 73% white; 24% Hispanic or Latinx), completed a set of self-report measures assessing common variables associated with cigarette use. Participants also completed a well-validated audio simulation (Smoking-Simulated Intoxication Digital Elicitation) depicting social smoking contexts and reported their willingness to use cigarettes or alcohol in these contexts.

RESULTS

Across three of the four social smoking definitions, social smokers consistently scored lower on measures of dependence, frequency, quantity, willingness to smoke, and all use motives than nonsocial smokers. The area under the curve for all four models ranged from excellent to outstanding discrimination within the training set. Frequency of days smoked in the past month was the most important predictor for three of the classification models with a relative importance of 100%.

CONCLUSION

The social smoking definitions demonstrated great variability across common cigarette use variables between groups, except for one. The machine learning approach successfully differentiated all four classifications. Recommendations are made for which social smoker classifications to use in subsequent research to maximize appropriate endorsement by the target population.

Perceived Gender Match and Accepting Alcohol Offers From Peers in Emerging Adulthood

AIMS

Emerging adulthood (ages 18-25) has been associated with elevated alcohol use, yet little is known regarding gender identity and drinking contexts in this population. Our goals were to examine the effects of perceived gender match on alcohol use decision-making in social settings among emerging adults.

METHODS

Participants (N = 135; 64% white, 11 transgender) completed measures of alcohol consumption, alcohol expectancies and motives, and the Collegiate-Simulated Intoxication Digital Elicitation using an established Internet panel. We conducted a series of univariate analyses to examine the relation between perceived gender match and behavioral willingness (BW) to accept alcohol in a social context.

RESULTS

Participants identifying as men were significantly more likely to accept offers of alcohol when compared with women. While men and women did not differ in terms of BW when participants perceived a gender-matched actor making the offer, when there was a gender mismatch, women had significantly lower BW when compared with men. Though transgender participants were more likely to endorse hazardous drinking behaviors, there were no observable effects of transgender identity on BW.

CONCLUSION

In this sample, we found that men have a higher BW for alcohol than women and that trans identified persons are at increased risk for alcohol misuse. These findings support the need for more research examining the effect of gender identity on patterns of alcohol use and decision-making in mixed-gender contexts for emerging adults.

Social Anxiety, Cannabis Use Motives, and Social Context's Impact on Willingness to Use Cannabis

Social anxiety is often purported to be a risk factor for increased cannabis use. Cannabis use motives are strong explanatory predictors of cannabis use embedded within social contexts. This investigation explored the impact of social anxiety, cannabis motives, and their interaction on willingness to use cannabis in a community sample of emerging adults. Social anxiety was anticipated to positively correlate with coping and conformity motives and greater willingness to use cannabis in peer social contexts. Motives to use were hypothesized to potentiate social anxiety's influence on cannabis use decision-making. In total, 124 participants completed an audio simulation of social cannabis use contexts (Can-SIDE) and standard measures of social anxiety (SIAS) and use motives (MMM). Contrary to expectations, social anxiety exerted a protective effect on willingness to use cannabis, but only when conformity, social, and expansion motives were at or below average. These effects varied by social contexts of use. Social anxiety leading to increased cannabis use may be most apparent in clinical samples and in high-risk cannabis users, but this pattern was not supported in this sample of community living emerging adults below clinical cutoffs for cannabis use disorder with relatively high social anxiety.