Submitted:
02 April 2024
Posted:
03 April 2024
Read the latest preprint version here
Abstract
Keywords:
1. Introduction
2. Materials and Methods
Sampling and Selection
Data Collection
Statistical Analysis
3. Results
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
Conflicts of Interest
References
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| Age (n=502) | Mean: 25.2 ± 7.7; Median: 22; Maximum: 62; Minimum: 18. |
| Gender (n = 502) | |
| Female | 366 (72.9%) |
| Male | 136 (27.1%) |
| Ethnic Groups (n = 502) | |
| Brown | 197 (39.2%) |
| White | 153 (30.5%) |
| Black | 142 (28.3%) |
| Asian | 5 (1%) |
| Indigenous | 4 (0.8%) |
| Other | 1 (0.2%) |
| Family Income Per Person (n = 502) (n = 502) | |
| Less than 1 minimum wage | 77 (15.3%) |
| 1-3 minimum wages | 235 (46.8%) |
| 3-6 minimum wages | 97 (19.3%) |
| 6-9 minimum wages | 24 (4.8%) |
| 9-12 minimum wages | 14 (2.8%) |
| 12-15 minimum wages | 13 (2.6%) |
| More than 15 minimum wages | 13 (2.6%) |
| Did not know or did not want to inform | 29 (5.8%) |
| Undergraduate Course | Number of Responses (n = 502) |
|---|---|
| Biological Sciences, | 78 (15.5%) |
| Speech–Language Pathology | 74 (14.7%) |
| Pharmacy | 62 (12.4%) |
| Biotechnology | 47 (9.4%) |
| Medicine | 44 (8.8%) |
| Physiotherapy | 43 (8.6%) |
| Dentistry | 39 (7.8%) |
| Animal Science | 33 (6.6%) |
| Public Health | 21 (4.2%) |
| Gastronomy | 20 (4%) |
| Nutrition | 15 (3%) |
| Natural Sciences | 9 (1.8%) |
| Nursing | 9 (1.8%) |
| Veterinary Medicine | 8 (1.6%) |
| Drug class | Frequency (n = 65) |
|---|---|
| Antidepressants | 55 (84.6%) |
| Sedatives/hypnotics | 17 (26.2%) |
| Anticonvulsants | 7 (10.8%) |
| Antipsychotics | 6 (9.2%) |
| Treatment of ADHD | 6 (9.2%) |
| Mood stabilizers | 3 (4.6%) |
| Treatment of mania episodes | 2 (3.1%) |
| Drug | Lifetime use (n = 502) | Last 3 months (n = 502) |
|---|---|---|
| Alcohol | 418 (83.3%) | 366 (72.9%) |
| Cannabis | 188 (37.5%) | 100 (19.9%) |
| Tobacco | 163 (32.5%) | 85 (16.9%) |
| Hallucinogens | 58 (11.6%) | 21 (4.2%) |
| Inhalants | 55 (11%) | 22 (4.4%) |
| Ecstasy | 46 (9.2%) | 14 (2.8%) |
| Sedatives/hypnotics | 42 (8.4%) | 26 (5.2%) |
| Antidepressants | 30 (6%) | 23 (4.6%) |
| Methylphenidate | 28 (5.6%) | 8 (1.6%) |
| Other Amphetamines | 25 (5%) | 9 (1.8%) |
| Cocaine | 19 (3.8%) | 2 (0.4%) |
| Other drugs | 19 (3.8%) | 15 (3%) |
| Opioids | 18 (3.6%) | 7 (1.4%) |
| Crack | 1 (0.2%) | 0 (0%) |
| Female | Male | p | |
|---|---|---|---|
| Alcohol | 71.9% | 75.7% | 0.385 |
| Tobacco | 14.2% | 24.3% | 0.008 |
| Cannabis | 16.9% | 27.9% | 0.006 |
| Cocaine | 0.5% | 0.0% | 1.000 |
| Hallucinogens | 4.4% | 3.7% | 0.730 |
| Inhalants | 4.1% | 5.1% | 0.610 |
| Opioids | 1.6% | 0.7% | 0.680 |
| Ecstasy | 2.7% | 2.9% | 1.000 |
| Methylphenidate | 1.4% | 2.2% | 0.452 |
| Other Amphetamines | 1.9% | 1.5% | 1.000 |
| Sedatives/hypnotics | 6.0% | 2.9% | 0.168 |
| Antidepressants | 4.6% | 4.4% | 0.912 |
| Gender | Average doses ingested (p < 0.001) |
|---|---|
| Female | 3.47 |
| Male | 4.90 |
| Low Risk | Moderate Risk | High Risk | |
|---|---|---|---|
| Alcohol | 82.1% | 16.7% | 1.2% |
| Tobacco | 86.5% | 13.5% | - |
| Cannabis | 81.5% | 17.7% | 0.8% |
| Cocaine | 99.2% | 0.8% | - |
| Crack | 99.8% | 0.2% | - |
| Hallucinogens | 96% | 4% | - |
| Inhalants | 97% | 2.8% | 0.2% |
| Opioids | 98.6% | 1.4% | - |
| Ecstasy | 98.2% | 1.8% | - |
| Methylphenidate | 97.2% | 2.8% | - |
| Other Amphetamines | 98% | 2% | - |
| Sedatives/hypnotics | 92.4% | 7.6% | - |
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