Illicit drug use among medical students and its association with gender, psychological distress sleep quality and exposure to psychiatry: a nationwide study
Bibliographic record
Abstract
Purpose Illicit drug use is a well-known global problem that has been noticed to be increased significantly among medical students. This study aims to assess the prevalence and consequences of illicit drug use among medical students in the country of Jordan using the validated Drug Abuse Screening Test-10 (DAST-10). Design/methodology/approach The authors used a cross-sectional, descriptive design to conduct this study. A total of 2,104 participants from six medical schools were included. A structured online-based English self-administered questionnaire was used for data collection. Findings Out of 2,104 included participants, 242 (11.5%) reported using illicit drugs in the past year. More than three-quarters (77%) of the drug users suffer from various degrees of problems related to drug use, ranging from risky (41%) to severe risk (6%). Drug use was found to be associated with gender, planned specialty and exposure to psychiatry training. Research limitations/implications The cross-sectional design prevents from drawing cause-and-effect relationships and confirming how the tendency toward substance use is affected by the psychological state, sleep quality and exposure to psychiatry. Also, although it is important to measure the subjective observation of distress and sleep, objective estimates of psychological distress and sleep including actigraphy and sleep diary could be helpful to strengthen the findings. Also using an online survey with convenience sampling are some inevitable limitations with the present COVID-19 restrictions. Also, the nature of DAST-10 closed-ended questions precluded from accurately exploring the consequences of substance abuse. Practical implications Appropriate screening to identify medical students at risk for substance abuse and provide them with treatment referrals are strongly recommended in this study. In addition, medical schools should provide a comfortable environment that encourages a healthy lifestyle with a responsible attitude toward using drugs. Originality/value There is a dearth of information about illicit drug use among medical students, especially in the country of Jordan. The nature of their studies, the different stresses they experience and the impact imposed by other factors such as sociocultural all are likely to make medical students more susceptible to drug abuse. To the best of the authors’ knowledge, this is the first cross-national study of its kind in Jordan with a representative sample of 2,104 participants. We assessed the prevalence and consequences of self-reported illicit drug use and the sleep quality of medical students from all schools of medicine in Jordan.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".