Prevalence of Cannabis Use Among Medical Students: A Systematic Review and Meta-analysis.
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ABSTRACT: Objective
Cannabis is reported to be the most common illicit substance used among medical students; however, the number of related studies is limited and their results are not systematically reviewed. The aim of our study was to analyze the prevalence of lifetime and current use of cannabis among medical students worldwide.Methods
A systematic review and meta-analysis was performed with adherence to the PRISMA guidelines. The electronic databases PubMed, Scopus, and Cochrane library were searched for studies on the prevalence of cannabis use among medical students. Prevalence of lifetime, past-year, and past-month cannabis use was extracted. Pooled prevalence and relative risk for sex were calculated using the random effects model and subgroup analyses were conducted.Results
A total of 38 observational (cross-sectional and cohort) studies were included (total number of participants 19 932), and most of them were conducted in Europe, Central and Southern America, and the United States. Overall pooled prevalence of lifetime cannabis use was 31.4% (95% confidence interval [CI]: 23.7%-39.6%), past-year use was 17.2% (95% CI: 10.8%-24.6%), and past-month use was 8.8% (95% CI: 5.6%-12.5%). Men displayed higher rates of cannabis use with a pooled relative risk of 1.55 (95% CI: 1.32-1.81). Heterogeneity was high (I 2 > 75%) and there were differences among continents in all outcomes (P < .001).Conclusions
In conclusion, 1 in 3 medical students has used cannabis, whereas 8.8% were current users. Significant differences among continents were observed, but common finding was that male students tend to consume cannabis more often than female students.
SUBMITTER: Papazisis G
PROVIDER: S-EPMC6194916 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:ObjectiveTo characterise the contributing factors that affect medical students' subspecialty choice and to estimate the extent of influence of individual factors on the students' decision-making process.DesignSystematic review and meta-analysis.MethodsA systematic search of the Cochrane Library, ERIC, Web of Science, CNKI and PubMed databases was conducted for studies published between January 1977 and June 2018. Information concerning study characteristics, influential factors and the extent of their influence (EOI) was extracted independently by two trained investigators. EOI is the percentage level that describes how much each of the factors influenced students' choice of subspecialty. The recruited medical students include students in medical school, internship, residency training and fellowship, who are about to or have just made a specialty choice. The estimates were pooled using a random-effects meta-analysis model due to the between-study heterogeneity.ResultsData were extracted from 75 studies (882 209 individuals). Overall, the factors influencing medical students' choice of subspecialty training mainly included academic interests (75.29%), competencies (55.15%), controllable lifestyles or flexible work schedules (53.00%), patient service orientation (50.04%), medical teachers or mentors (46.93%), career opportunities (44.00%), workload or working hours (37.99%), income (34.70%), length of training (32.30%), prestige (31.17%), advice from others (28.24%) and student debt (15.33%), with significant between-study heterogeneity (p<0.0001). Subgroup analyses revealed that the EOI of academic interests was higher in developed countries than that in developing countries (79.66% [95% CI 70.73% to 86.39%] vs 60.41% [95% CI 43.44% to 75.19%]; Q=3.51, p=0.02). The EOI value of prestige was lower in developed countries than that in developing countries (23.96% [95% CI 19.20% to 29.47%] vs 47.65% [95% CI 34.41% to 61.24%]; Q=4.71, p=0.01).ConclusionsThis systematic review and meta-analysis provided a quantitative evaluation of the top 12 influencing factors associated with medical students' choice of subspecialty. Our findings provide the basis for the development of specific, effective strategies to optimise the distribution of physicians among different departments by modifying these influencing factors.
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