Administration of the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) among high school students in the Peruvian Amazon

A meta-analysis on the relationship between media with violence and aggression in Iranian sports

The present research aimed to conduct a systematic study on violence and aggression in the context of Iranian sports and perform a meta-analysis to investigate the association between the media and violence and aggression in sports. The research encompassed all relevant studies available in scientific databases within Iran (such as Magiran, Seyed, Civilica, Normagz, Humane resource study, and police publications), as well as dissertations from the information and scientific documents database. The selected timeframe for this analysis covered the years 2001 to 2018 in the Iranian context. Through this process, 209 studies related to the subject were identified, out of which 10 studies were included in the meta-analysis based on the research protocol investigating the relationship between media and violence and aggression in sports. Data analysis was performed using SPSS25 and CMA2 software. The results showed several variables played prominent roles in the researches on violence and aggression in sports, including media performance, referees' performance, stadium amenities, law enforcement and security factors, external and internal stadium environment, coach's behavior, social control, family influence, education, socio-economic factors, substance abuse, players' behavior, influence of friends, managerial aspects, and cultural and political factors. Inferential statistics indicated effect size for the relationship between media and violence and aggression, under the fixed model, was determined to be 0.259, and under the random model, it was 0.306, both of which were statistically significant. Consequently, based on the findings from the meta-analysis, a significant direct relationship between media and violence and aggression in sports was established.

The eleven-item Alcohol, Smoking and Substance Involvement Screening Test (ASSIST-11): Cross-cultural psychometric evaluation across 42 countries

The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) is an instrument to screen substance-use-related health risks. However, little is known whether the ASSIST could be further shortened while remaining psychometrically sound across different countries, languages, gender identities, and sexual-orientation-based groups. The study aimed to validate a shortened 11-item ASSIST (ASSIST-11). Using the International Sex Survey data, 82,243 participants (M age = 32.39 years) across 42 countries and 26 languages completed questions from the ASSIST-11 regarding gender identity, sexual orientation, and other information. Confirmatory factor analysis (CFA) and multigroup CFA (MGCFA) evaluated the ASSIST-11's structure and tested measurement invariance across groups. Cronbach's α and McDonald's ω were used to examine the internal consistency. Cohen's d and independent t-tests were used to examine known-group validity. The ASSIST-11 was unidimensional across countries, languages, age groups, gender identities (i.e., men, women, and gender-diverse individuals), and sexual orientations (i.e., heterosexual and sexual minority individuals). Cronbach's α was 0.63 and McDonald's ω was 0.68 for the ASSIST-11. Known-group validity was supported by Cohen's d (range between 0.23 and 0.40) with significant differences (p-values<0.001). The ASSIST-11 is a modified instrument with a unidimensional factor structure across different languages, age groups, countries, gender identities, and sexual orientations. The low internal consistency of the ASSIST-11 might be acceptable as it assesses a broad concept (i.e., use of several different substances). Healthcare providers and researchers may use the ASSIST-11 to quickly assess substance-use information from general populations and evaluate the need to follow up with more detailed questions about substance use.

Psychosocial factors associated with the risk of developing psychosis in a Mexican general population sample

Epidemiological evidence has linked an array of sociodemographic and psychosocial factors with an increased risk of developing psychosis. However, research in samples from low- and middle-income countries is still scarce. This study used a Mexican sample to explore (i) sociodemographic and psychosocial differences between individuals with and without a positive screen for Clinical High-Risk for psychosis (CHR), and (ii) sociodemographic and psychosocial factors associated with screening positive for CHR. The sample consisted of 822 individuals from the general population who completed an online survey. Of the participants, 17.3% (n = 142) met the CHR screening criteria. Comparisons between those who screened positive (CHR-positive group) and those who did not (Non-CHR group) showed that participants in the CHR-positive group were younger, had a lower educational level, and reported more mental health problems than the Non-CHR group. Furthermore, relative to the Non-CHR group, the CHR-positive group had a greater prevalence of medium/high risk associated with cannabis use, a higher prevalence of adverse experiences (bullying, intimate partner violence, and experiencing a violent or unexpected death of a relative or friend), as well as higher levels of childhood maltreatment, poorer family functioning, and more distress associated with the COVID-19 pandemic. Groups did not differ in sex, marital/relationship status, occupation, and socio-economic status. Finally, when examined in multivariate analyses, the variables associated with screening positive for CHR were: having an unhealthy family functioning (OR = 2.75, 95%CI 1.69-4.46), a higher risk associated with cannabis use (OR = 2.75, 95%CI 1.63-4.64), a lower level of education (OR = 1.55, 95%CI 1.003-2.54), having experienced a major natural disaster (OR = 1.94, 95%CI 1.18-3.16), having experienced a violent or unexpected death of a relative or friend (OR = 1.85, 95%CI 1.22-2.81), higher levels of childhood emotional abuse (OR = 1.88, 95%CI 1.09-3.25), physical neglect (OR = 1.68, 95%CI 1.08-2.61), and physical abuse (OR = 1.66, 95%CI 1.05-2.61), and higher COVID-related distress (OR = 1.10, 95%CI 1.01-1.20). An older age was a protective factor for screening positive for CHR (OR = 0.96, 95%CI 0.92-0.99). Overall, the findings highlight the importance of examining potential psychosocial contributors to psychosis vulnerability across different sociocultural contexts to delineate risk and protective processes relevant to specific populations and better target preventive intervention efforts.

Diagnostic capabilities of self-reported psychoactive substance use among patients admitted to psychiatric consultations in Benin, West Africa

BACKGROUND

There is a high prevalence of psychoactive substance use among patients with mental health disorders. The optimal treatment of patients with mental health disorders requires an awareness of their history pertaining substance use. Several methods are used to assess the use of substance. Each of them embodies its limitations. This study aimed at assessing the diagnostic capability of a self-report psychoactive substance use among patients at the National Psychiatric University Hospital of Cotonou, Benin.

METHODS

A cross-sectional survey was conducted from August 1, 2021 to November 24, 2021. A total of 157 consenting patients admitted to psychiatric consultations were successively enrolled in the ongoing study. They were screened for the use of psychoactive substance with Alcohol, Smoking and Substance Involvement Screening Test (ASSIST), followed by urine test using the NarcoCheck® kit for qualitative detection of substances or its metabolites. To assess the diagnostic capability, the participants' self-responses were compared with their urine test results. The sensitivity, specificity, positive and negative predictive values, and kappa coefficient were also calculated.

RESULTS

The frequency of lifetime psychoactive substance use according to self-report was 81.5% (95% CI: 0.746-0.873), while over the past three months (recent use) was 52.2% (95% CI: 0.441-0.603) and 58.6% based on the urine test. Alcohol, tobacco and cannabis were the most prevalent psychoactive substance used. The overall concordance between self-reported psychoactive substance use and the urine test (gold standard) was moderate (sensitivity = 66%; kappa = 0.46). Self-report cocaine use compared with urine test showed the highest concordance (sensitivity = 100%; kappa = 79%), followed by tobacco (sensitivity = 58%, kappa = 41%). On an average 70% of urine test results were consistent with self-report (VPP). Participants' were more accurate when they were reporting no psychoactive substance use as suggested by the high negative predictive value (NPV).

CONCLUSION

Diagnostic capability of self-reporting of psychoactive substance use among patients admitted to psychiatric consultations was moderate. Therefore self-reporting may not estimate the exact prevalence of psychoactive substance use. Optimal identification of psychoactive substances use in psychiatric patients requires both history and urine testing. The integration of these two approaches is an excellent method to find out the level, frequency and nature of drug used.

Prevalence, associated factors and level of dependence of substance use among urban secondary school students, Benin

The use of psychoactive substances is constantly increasing, particularly among young people. This study aimed to estimate the prevalence, associated factors and the level of dependence of those substances among secondary school students in Benin. This cross-sectional study included 627 students in grades 8-12, selected using a multi-stage sampling technique. Data were collected using the ASSIST questionnaire, followed by urine screening. Logistic regression analysis was performed to estimate factors associated with substance use. Overall, the lifetime prevalence of psychoactive substance use was 95.4% (95% CI = 93.4-96.9), while the current use was 78.8% (95% CI = 75.3-81.9). The most commonly used substances in the past 3 months were alcohol, followed by stimulants and tobacco; 221 samples were analysed. Twenty-two (9.95%) were positive by urine screening. Substances detected were tramadol, fentanyl, THC, K2, BZDs, alcohol, methamphetamine and cotinine. Of the current users, 2.27% (n = 11) were at high risk of dependency. An association was found between substance use and age (p = 0.02). In conclusion, this study came up with a high prevalence of substance use among students. There is a need to develop and implement a health education programme in secondary schools to raise awareness of the potential risks.