| Literature DB >> 33917251 |
Irina Brumboiu1, Alessandro Porrovecchio2, Thierry Peze2, Remy Hurdiel2, Irina Cazacu1, Cristina Mogosan1, Joel Ladner3, Marie-Pierre Tavolacci4.
Abstract
This cross-sectional study aimed to determine the use of neuroenhancers, the motivations and factors associated with their use in French and Romanian university students. Students from two universities in France (Rouen and Opal Coast University) and one in Romania (Cluj-Napoca) were asked to complete a self-administered anonymous questionnaire, either online or on paper, about the use of three different categories of substance: Prescription drugs (methylphenidate, modafinil, and beta-blockers), drugs of abuse (alcohol, cannabis, cocaine, and amphetamines), and soft enhancers (coffee, vitamins, caffeine tablets, and energy drinks). In total, 1110 students were included: The users were 2.2% for prescription drugs, 4.3% for drugs of abuse, and 55.0% for soft enhancers. Students used neuroenhancement to stay awake for study (69.3%), to improve concentration (55.5%), to decrease stress (40.9%), and to improve memory (39.6%). Neuroenhancement was considered to meet expectations by 74.4% of users. The factors associated with the use of drugs of abuse were frequent binge drinking (Adjusted Odds Ratio-AOR: 6.49 [95% CI: 2.53-16.6]), smoking (AOR: 5.50 [95% CI: 2.98-10.14]), having a student job (AOR: 2.42 [95% CI 1.13-5.17]), and being male (AOR: 2.23 [95% CI:1.21-4.11]). No significant associations with eating disorders were detected for any of the three categories of substances. University students reported neuroenhancement with prescription drugs, drugs of abuse, and mainly soft enhancers. These substances were used mainly to increase the waking hours. Educational programs in universities seem to be required in order to increase student awareness of the problems caused by neuroenhancements, and to decrease the associated risks by changing students' attitudes and beliefs.Entities:
Keywords: drugs of abuse; neuroenhancement; prescription drugs; soft enhancers; students
Year: 2021 PMID: 33917251 PMCID: PMC8068007 DOI: 10.3390/ijerph18083880
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Characteristics of university students from the three universities (N = 1110).
| Cluj-Napoca | Rouen | Opal Coast University | |
|---|---|---|---|
| Female: | 180 (82.5) | 386 (72.3) | 248 (70.7) |
| Mean age (SD) | 21.4 (1.8) | 20.1 (1.9) | 19.7 (1.7) |
| Curriculum n (%) | |||
| Mixed university group | 0 (0.0) | 326 (61.1) | 78 (21.8) |
| Healthcare | 218 (100) | 208 (38.9) | 280 (78.2) |
| Academic year of study n (%) | |||
| 1 | 37 (17.0) | 231 (43.3) | 259 (73.6) |
| 2 | 70 (32.1) | 75 (14.0) | 54 (15.3) |
| 3 | 26 (11.9) | 110 (20.6) | 24 (6.8) |
| >3 | 85 (39.0) | 118 (22.1) | 15 (4.3) |
SD: standard deviation.
Prevalence of neuroenhancement, by substance category and study site, over the last 12 months (N = 1110).
| Cluj-Napoca ( | Rouen ( | Opal Coast University ( | Total | |
|---|---|---|---|---|
| Prescription drugs * (%) | 6.4 | 1.3 | 0.8 | 2.2 |
| Beta-blockers | 6.0 | 1.2 | 1.1 | 1.8 |
| Methylphenidate | 0.9 | 0.2 | 0.3 | 0.5 |
| Modafinil | 0.0 | 0.0 | 0.3 | 0.1 |
| Drugs of abuse * (%) | 8.3 | 3.5 | 3.1 | 4.3 |
| Alcohol | 5.6 | 3.2 | 4.3 | 4.0 |
| Cannabis | 2.3 | 3.9 | 2.6 | 3.2 |
| Amphetamines | 2.7 | 0.8 | 0 | 0.8 |
| Cocaine | 0 | 0.7 | 0 | 0.4 |
| Soft enhancers ** (%) | 84.9 | 55.4 | 36.3 | 55.0 |
| Coffee | 80.7 | 43.4 | 25.9 | 45.3 |
| Vitamins | 53.2 | 23.7 | 15.3 | 26.9 |
| Energy drinks | 17.4 | 7.8 | 8.6 | 10.0 |
| Caffeine tablets | 8.2 | 1.3 | 2.0 | 2.9 |
Comparisons of the users of neuroenhancers of the three categories, according to sociodemographic characteristics, academic studies and risk behaviors among university students (N = 1110).
| Prescription Drugs | Drugs of Abuse | Soft Enhancers | Total | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Yes | No | Yes | No | Yes | No | |||||
| Male (%) | 65.2 | 74.0 | 0.34 | 58.3 | 74.5 | 0.01 | 76.0 | 71.0 | 0.06 | 73.8 |
| Mean age (SD *) | 21.9 (1.7) | 20.2 (1.9) | 0.89 | 21.0 (1.7) | 20.2 (1.9) | 0.64 | 20.5 (1.9) | 19.8 (1.7) | <0.001 | 20.2 (1.9) |
| Student job (%) | 16.7 | 13.3 | 0.63 | 22.9 | 12.9 | 0.05 | 13.0 | 13.9 | 0.64 | 13.4 |
| Study grant-holder (%) | 29.1 | 42.0 | 0.21 | 33.3 | 40.7 | 0.13 | 38.9 | 45.1 | 0.06 | 41.7 |
| Curriculum (%) | ||||||||||
| Mixed university group | 8.3 | 37.0 | 0.004 | 35.4 | 36.5 | 0.88 | 31.3 | 42.1 | <0.001 | 36.4 |
| Healthcare | 91.7 | 63.0 | 64.6 | 63.5 | 68.7 | 57.9 | 63.6 | |||
| Academic year of study (%) | ||||||||||
| 1 | 12.5 | 48.5 | 31.2 | 48.5 | 39.7 | 57.6 | 47.7 | |||
| 2 | 20.8 | 18.0 | <0.001 | 20.9 | 17.9 | 0.12 | 20.8 | 14.6 | <0.001 | 18.1 |
| 3 | 16.7 | 14.4 | 20.9 | 14.2 | 14.9 | 14.0 | 14.5 | |||
| >3 | 50.0 | 19.1 | 27.0 | 19.4 | 24.6 | 13.8 | 19.7 | |||
| Mean stress (SD *) | 20.6 (6.1) | 16.7 (7.4) | 0.43 | 19.7 (7.8) | 16.7 (7.3) | 0.85 | 17.6 (7.3) | 15.9 (7.5) | 0.96 | 16.8 (7.4) |
| Tobacco smoking (%) | 25.0 | 21.4 | 0.67 | 56.3 | 19.9 | <0.001 | 26.9 | 14.8 | <0.001 | 21.5 |
| Binge drinking (%) | 0.78 | <0.001 | 0.174 | |||||||
| Eating disorders (%) | 33.3 | 25.1 | 0.36 | 33.3 | 24.9 | 0.19 | 26.7 | 23.5 | 0.21 | 25.3 |
SD: Standard Deviation.
Logistic regression analysis of the factors associated with neuroenhancement among university students.
| KERRYPNX | Drugs of Abuse | Soft Enhancers | ||
|---|---|---|---|---|
| AOR 95% CI | AOR 95% CI | |||
| Model 1 | ||||
| Male | 2.23 (1.21–4.11) | 0.01 | 0.89 (0.66–1.18) | 0.42 |
| Student job | 2.42 (1.13–5.17) | 0.001 | ||
| Study grant-holder | 0.68 (0.35–1.33) | 0.27 | 0.98 (0.75–1.28) | 0.90 |
| Curriculum | ||||
| Mixed university group | 1 (Ref) | |||
| Healthcare | 1.38 (1.01–1.87) | 0.04 | ||
| Academic year of study | ||||
| 1 | ||||
| 2 | 1 (Ref) | 1 (Ref) | ||
| 3 | 1.23 (0.51–2.96) | 0.64 | 1.22 (0.83–1.79) | 0.30 |
| >3 | 1.79 (0.74–4.32) | 0.19 | 0.93 (0.60–1.45) | 0.77 |
| 1.37 (0.58–3.24) | 0.46 | 0.90 (0.75–1.28) | 0.71 | |
| Model 2 | ||||
| Tobacco smoking | 5.50 (2.98–10.14) | <0.001 | 2.71 (1.94–3.80) | <0.001 |
| Model 3 | ||||
| Binge drinking | ||||
| Never | 1 (Ref) | - | 1 (Ref) | |
| Occasional | 1.55 (0.76–3.19) | 0.23 | 1.69 (1.26–5.92) | <0.001 |
| Frequent | 6.49 (2.53–16.60) | <0.001 | 3.34 (1.88–4.13) | 0.001 |
Model 1 included sociodemographic variables (sex, age, university, student job, grant-holder status, curriculum, academic year). Model 2 was defined as model 1 + smoking and Model 3 as model 1 + binge drinking.
Figure 1Motivations for neuroenhancement among university students from Cluj-Napoca, Rouen, and Opal Coast University (N = 611).
Figure 2Adverse effects reported after neuroenhancer use by students at Cluj-Napoca, Rouen, and Opal Coast University.
Figure 3Satisfaction with neuroenhancer use for the university students from Cluj-Napoca, Rouen, and Opal Coast University.