At-risk drinking and current cannabis use among medical students: a multivariable analysis of the role of personality traits

Prevalence and correlates of severe problematic cannabis use: analysis of a population-based survey in Jamaica

Background

There is an increasing demand for the treatment of problematic cannabis use (PCU) in low-income and middle-income countries. Jamaica's historical inclination towards cannabis use underscores the need for research in addressing this issue.

Objectives

To determine the prevalence and patterns of cannabis use and assess the sociodemographic factors, psychosocial correlates, knowledge and perceptions associated with severe PCU among Jamaicans using nationally representative data.

Methods

This study involved a secondary data analysis of the last Jamaica National Drug Prevalence Survey. It included 786 participants who used cannabis in the past year and completed the Cannabis Abuse Screening Test (CAST). The CAST has been validated against the Diagnostic and Statistical Manual of Mental Disorders (DSM), with a score ≥ 7 meeting the criteria for severe PCU. CAST scores were dichotomized utilizing these thresholds, and data generated were analyzed with SPSS version 25 using Pearson's χ2 test and logistic regression.

Results

In the past year, 53.3% of Jamaicans who smoked cannabis had a score of 7 or higher on the CAST and smoked an average of 62.21 joints per month. Male respondents were twice as likely to have severe PCU as females. Additionally, young, middle, and older adults were respectively 3, 5 and 3 times more likely to report severe PCU compared to adolescent respondents. Participants who started cannabis use at 11 years and under, 12-17 years, and 18-25 years were respectively 5, 7 and 7 times more likely to report severe PCU than those at 26 years and older. Moreover, easy access to cannabis, a high perceived need for treatment, belief in increased national drug use prevalence, and awareness of the National Drug Control and Prevention Agency were associated with increased odds of reporting severe PCU.

Conclusion

One out of every two Jamaicans who used cannabis in the past year reported severe PCU and smoked an average of two cannabis joints per day. Early initiation increases the risk of severe PCU. Accordingly, a public health approach involving multiple sectors is needed to provide treatment options.

The Involvement of Age, Gender, and Personality Variables in Alcohol Consumption during the Start of the COVID-19 Pandemic in Romanian University Students

This study aimed to explore the age, gender, and personality variables involved in alcohol consumption (AC) at the start of the COVID-19 pandemic in Romania among 210 bachelor's and master's students aged between 19 and 25 years. The results of the Freiburg Personality Inventory-Revised and the Alcohol Use Disorders Identification Test were examined using a logistic model and cluster analysis. The prevalence of problematic AC was relatively low (10.5%). The risk of males being part of the problematic AC cluster was 5.223 times higher than that of females (p < 0.001). Increasing age was associated with a decrease in the risk of belonging to the problematic cluster by a factor of 0.733 (p = 0.001). Increasing scores on the Frankness and Somatic Complaints personality scales were associated with a decreased risk of belonging to the problematic cluster of AC, with factors of 0.738 (95% CI, 0.643 to 0.848), Wald χ²(1) = 18.424, and p < 0.001 and 0.901 (95% CI, 0.813 to 0.999), Wald χ²(1) = 3.925, and p = 0.048, respectively. More action to prevent AC is needed in men, especially in those at the beginning of their university studies. It is necessary to intervene to decrease the interest in making a good impression (low scores on the Frankness Scale) so as to increase healthy autonomy using critical thinking and find a balance between the internal and external loci of control. Students from faculties with profiles that deal with health and its promotion are less vulnerable to problematic alcohol consumption, even if they have a withdrawn, pessimistic personality (low scores on Somatic Complaints).

Cannabis use, risk behaviours and harms in Brazil: A comprehensive review of available data indicators

ISSUES

Cannabis use and related health/social outcome indicator data for Brazil-where non-medical cannabis is generally illegal-are limited.

APPROACH

Towards a comprehensive overview of relevant indicators, we searched primary databases by combining MeSH-index terms related to cannabis, geographic location and subtopic terms (e.g., use, health, mortality) focusing on cannabis use and key outcome indicators in Brazil since 2010. In addition, relevant 'grey literature' (e.g., survey reports) was identified. Key indicator data were mainly narratively summarised.

KEY FINDINGS

Overall, cannabis use has increased somewhat since pre-2010, with (past-year) use rates measured at 2-3% for general population adults, yet 5% or higher among youth and/or (e.g., post-secondary) student populations. For key risk behaviours, the presence of tetrahydrocannabinol-positivity among motor-vehicle drivers has been measured at <2%. While the prevalence of cannabis use disorder appears to have decreased, the relative proportion of treatment provided for cannabis-related problems increased. National- and local-based studies indicated an association of cannabis use with mental health harms, including depression and suicidality. Although some non-representative and/or local studies contain information, other monitoring data, including cannabis-related risks and harms (e.g., cannabis-related driving, mortality, hospitalisations), are limited in availability.

IMPLICATIONS AND CONCLUSION

The prevalence of cannabis use in Brazil is comparably low (e.g., relative to elsewhere in the Americas). Data on numerous key cannabis-related indicators is absent, or limited in scope for Brazil. Considering ongoing evolutions in cannabis control and its status as the most common illicit drug, more comprehensive surveillance of cannabis use and related outcomes is advised.

Patterns of high-risk drinking among medical students: A web-based survey with machine learning

BACKGROUND

Prior studies have found increased rates of alcohol consumption among physicians and medical students. The present study aims to build machine learning (ML) models to identify patterns of high-risk drinking (HRD), including alcohol use disorder, within this population.

METHODS

We analyzed data collected through a web-based survey among Brazilian medical students. Variables included sociodemographic data, personal information, university status, and mental health. Stratification for HRD was carried out based on the AUDIT-C scores. Three ML algorithms were used to build classifiers to predict HRD among medical students: elastic net regularization, random forest, and artificial neural networks. Model interpretation techniques were adopted to assess the most influential predictors for models' decisions, which represent potential factors associated with HRD.

RESULTS

A total of 4840 medical students were included in the study. The prevalence of HRD was 53.03%. The three ML models built were able to distinguish individuals with HRD from low-risk drinking (LRD) with very similar performance. The average AUC scores in the cross-validation procedure were around 0.72, and this performance was replicated in the test set. The most important features for the ML models were the use of tobacco and cannabis, monthly family income, marital status, sexual orientation, and physical activities.

CONCLUSIONS

This study proposes that ML models may serve as tools for initial screening of students regarding their susceptibility for at-risk drinking or alcohol use disorder. In addition, we identified several key factors associated with HRD that could be further investigated and explored for preventive and assistance measures.

A cross-national examination of cannabis protective behavioral strategies' role in the relationship between Big Five personality traits and cannabis outcomes

Background: Problematic cannabis use is common among young adults across the world. However, limited research has examined whether etiological models predicting negative consequences are universal.Objective: The present study examined whether the Five-Factor Model of personality (openness, conscientiousness, extraversion, agreeableness, and neuroticism) relates to cannabis outcomes via use of cannabis protective behavioral strategies (PBS) in a cross-national sample of college student cannabis users (i.e., used cannabis in the last 30 days).Method: Participants were 1175 university students (63.27% female) across five countries (United States, Argentina, Spain, Uruguay, and the Netherlands) recruited to complete an online survey.Results: PBS use mediated the associations between personality traits and cannabis consequences, such that higher conscientiousness (β = .20), agreeableness (β = .11), and lower emotional stability [i.e., higher neuroticism] (β = -.14) were associated with more PBS use. Higher PBS use was, in turn, associated with lower frequency of cannabis use (β = -.32); lower frequency of use was then associated with fewer cannabis consequences (β = .34). This sequential pathway was invariant across sex, but not countries. Notably, there were a number of differences in links between PBS and cannabis outcomes when comparing countries (e.g., negative associations in the US sample, but positive associations in the Argentina sample).Conclusions: Cannabis PBS mediates the relationship between personality traits and cannabis outcomes, but there are nuanced differences across countries (i.e., relationship between PBS and cannabis outcomes). Overall, students that are low in conscientiousness, agreeableness, and neuroticism and/or report low rates of PBS use may benefit from cannabis PBS-focused interventions that promote utilization of PBS.

Social Information Processing in Substance Use Disorders: Insights From an Emotional Go-Nogo Task

Positive social connections are crucial for recovery from Substance Use Disorder (SUD). Of interest is understanding potential social information processing (SIP) mediators of this effect. To explore whether persons with different SUD show idiosyncratic biases toward social signals, we administered an emotional go-nogo task (EGNG) to 31 individuals with Cocaine Use Disorder (CoUD), 31 with Cannabis Use Disorder (CaUD), 79 with Opioid Use Disorder (OUD), and 58 controls. Participants were instructed to respond to emotional faces (Fear/Happy) but withhold responses to expressionless faces in two task blocks, with the reverse instruction in the other two blocks. Emotional faces as non-targets elicited more "false alarm" (FA) commission errors as a main effect. Groups did not differ in overall rates of hits (correct responses to target faces), but participants with CaUD and CoUD showed reduced rates of hits (relative to controls) when expressionless faces were targets. OUD participants had worse hit rates [and slower reaction times (RT)] when fearful faces (but not happy faces) were targets. CaUD participants were most affected by instruction effects (respond/"go" vs withhold response/"no-go" to emotional face) on discriminability statistic A. Participants were faster to respond to happy face targets than to expressionless faces. However, this pattern was reversed in fearful face blocks in OUD and CoUD participants. This experiment replicated previous findings of the greater salience of expressive face images, and extends this finding to SUD, where persons with CaUD may show even greater bias toward emotional faces. Conversely, OUD participants showed idiosyncratic behavior in response to fearful faces suggestive of increased attentional disruption by fear. These data suggest a mechanism by which positive social signals may contribute to recovery.

[Cigarette and e-cigarette use among a sample of French health students]

INTRODUCTION

Smoking is one of the leading causes of preventable death worldwide. Data from the literature show that caregivers and health students have a high prevalence. The purpose of this article was to study the prevalence among health students (medicine, dentistry, physiotherapy, nursing) at a University and a Teaching Hospital in France.

MATERIAL AND METHOD

This was a cross-sectional study using a self-administered questionnaire completed at the start of university meetings. This study was carried out as part of a campaign to combat smoking supported by the Brittany Regional Health Agency.

RESULTS

The participation rate was 76.4%: 1349 respondents out of 1766 health students surveyed. The prevalence of smoking 17.8% and that of vaping 5.6%. Nursing students smoked and vaped more than students in other streams: respectively, for smoking, 21.8% (73/335) vs. 16.5% (167/1014) (P<0.001), for vaping, 10.4% (35/335) vs. 4.0% (39/980) (P<0.001). Students in 3rd year nursing smoked and vaped significantly more than those in the first 2 years (P=0.02 and P<0.001).

CONCLUSION

The smoking rate was high, but comparable to the data for health students. Nursing students were significantly greater smokers, especially in the last year. Their vaping rate was higher than in other studies.

Hazardous alcohol consumption among older adults: A comprehensive and multi-national analysis of predictive factors in 13,351 individuals

Background

Older adults exhibit heightened vulnerability for alcohol-related health impairments. Increases in the proportion of older adults within the European Union’s total population and prevalence rates of alcohol use disorders in this age group are being observed. This large scale international study was conducted to identify those older adults with an increased risk to engage in hazardous drinking behaviour.

Methods

Socio-demographic, socio-economic, personality characteristics (Big Five Inventory, BFI-10), and alcohol consumption patterns of 13,351 individuals from 12 different European countries, collected by the Survey of Health, Aging, and Retirement in Europe, were analyzed using regression models.

Results

Age, nationality, years of education, as well as personality traits, were significantly associated with alcohol intake. For males, extraversion predicted increased alcohol intake (RR = 1.11, CI = 1.07–1.16), whereas conscientiousness (RR = 0.93, CI = 0.89–0.97), and agreeableness (RR = 0.94, CI = 0.90–0.99), were associated with a reduction. For females, openness to new experiences (RR = 1.11, CI = 1.04–1.18) predicted increased alcohol intake. Concerning excessive drinking, personality traits, nationality, and age-predicted consumption patterns for both sexes: Extraversion was identified as a risk factor for excessive drinking (OR = 1.15; CI = 1.09–1.21), whereas conscientiousness was identified as a protective factor (OR = 0.87; CI = 0.823–0.93).

Conclusion

Hazardous alcohol consumption in the elderly was associated with specific personality characteristics. Preventative measures, crucial in reducing deleterious health consequences, should focus on translating the knowledge of the association of certain personality traits and alcohol consumption into improved prevention and treatment.