| Literature DB >> 24236008 |
Larissa J Maier1, Matthias E Liechti, Fiona Herzig, Michael P Schaub.
Abstract
BACKGROUND: Neuroenhancement is the use of substances by healthy subjects to enhance mood or cognitive function. The prevalence of neuroenhancement among Swiss university students is unknown. Investigating the prevalence of neuroenhancement among students is important to monitor problematic use and evaluate the necessity of prevention programs. STUDY AIM: To describe the prevalence of the use of prescription medications and drugs of abuse for neuroenhancement among Swiss university students.Entities:
Mesh:
Substances:
Year: 2013 PMID: 24236008 PMCID: PMC3827185 DOI: 10.1371/journal.pone.0077967
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Response rates and participant characteristics (N = 6275).
| Institution | ||||
| UZH | ETHZ | UniBas | Total ( | |
| Response rate | 8.1% (404 of 5000) | 27.1% (3347 of 12337) | 23.4% (2524 of 10781) | 22.3% (6275 of 28118) |
| Gender | ||||
| Male | 25.5% (103) | 61.4% (2055) | 41% (1034) | 50.9% (3192) |
| Female | 74.5% (301) | 38.6% (1292) | 59% (1490) | 49.1% (3083) |
| Mean age (years) | 24.85 ( | 22.37 ( | 23.98 ( | 23.18 ( |
| Number of semesters | 6.19 ( | 4.86 ( | 5.5 ( | 5.21 ( |
| Study workload | ||||
| Full-time | 84.7% (342) | 98.2% (3287) | 87.2% (2200) | 92.9% (5829) |
| Part-time | 15.3% (62) | 1.8% (60) | 12.8% (324) | 7.1% (446) |
| Employment during studies | ||||
| Yes | 71.3% (288) | 31.6% (1058) | 59% (1488) | 45.2% (2834) |
| No | 28.7% (116) | 68.4% (2289) | 41% (1036) | 54.8% (3241) |
University of Zurich.
Swiss Federal Institute of Technology Zurich.
University of Basel.
Lifetime prevalence of neuroenhancement according to substance categories and study site (N = 6275).
| Institution | ||||
| UZH | ETHZ | UniBas | Total ( | |
| Prescription drugs | ||||
| Men | 12.6% (13) | 6.6% (135) | 8.3% (86) | 7.3% (234) |
| Women | 12% (36) | 6% (78) | 8.5% (127) | 7.8% (241) |
| Total | 12.1% (49) | 6.4% (213) | 8.4% (213) | 7.6% (475) |
| Drugs of abuse including alcohol | ||||
| Men | 11.7% (12) | 8.5% (174) | 9.5% (98) | 8.9% (284) |
| Women | 8.3% (25) | 6.3% (81) | 6.6% (98) | 6.6% (204) |
| Total | 9.2% (37) | 7.6% (255) | 7.8% (196) | 7.8% (488) |
| Prescription drugs AND drugs of abuse including alcohol | ||||
| Men | 1.9% (2) | 1.6% (33) | 1.8% (19) | 1.7% (54) |
| Women | 2.3% (7) | 1% (13) | 1.4% (21) | 1.3% (41) |
| Total | 2.2% (9) | 1.4% (46) | 1.6% (40) | 1.5% (95) |
| Prescription drugs OR drugs of abuse including alcohol | ||||
| Men | 22.3% (23) | 13.4% (276) | 16% (165) | 14.5% (464) |
| Women | 17.9% (54) | 11.3% (145) | 13.7% (204) | 13.1% (404) |
| Total | 19.1% (77) | 12.6% (422) | 14.6% (369) | 13.8% (868) |
p<0.05,
p<0.01,
p<0.001, compared with women.
University of Zurich.
Swiss Federal Institute of Technology Zurich.
University of Basel.
Prevalence of neuroenhancement and consumption patterns of substances used for neuroenhancement (N = 6275).
| All types of use | Recreational use | Use for neuroenhancement | ||||
| Lifetime prevalence | Lifetime prevalence | Lifetime prevalence | Last month prior to exam | Daily use prior to exam | Expectations fulfilled | |
| Prescription drugs | ||||||
| Methylphenidate | 5.8% (367) | 2.3% (145) | 4.1% (255) | 2.6% (163) | 0.4% (22) | 67.5% (172) |
| Modafinil | 0.4% (25) | 0.1% (5) | 0.3% (22) | 0.2% (15) | 0.04% (3) | 68.2% (15) |
| Antidepressants | 1.6% (97) | 0.3% (17) | 0.5% (32) | 0.4% (26) | 0.2% (14) | 59.4% (19) |
| Anti-dementia agents | 0.1% (8) | — | 0.1% (8) | 0.1% (7) | 0.03% (2) | 37.5% (3) |
| Sedatives | 5.8% (364) | 3.4% (215) | 2.7% (170) | 2.1% (133) | 0.2% (14) | 75.9 (129) |
| Beta-blockers | 1.7% (108) | 0.5% (30) | 1.2% (74) | 0.7% (45) | 0.1% (6) | 70.3% (52) |
| Drugs of abuse including alcohol | ||||||
| Alcohol | 93.4% (5688) | 90.2% (5660) | 5.6% (350) | 5.1% (320) | 0.4% (22) | 87.1% (305) |
| Cannabis | 45.1% (2741) | 43.3% (2720) | 2.5% (158) | 1.8% (115) | 0.6% (37) | 93% (147) |
| Cocaine | 4.3% (264) | 4.2% (262) | 0.2% (12) | 0.1% (7) | 0.02% (1) | 75% (9) |
| Amphetamines | 3.9% (239) | 3.7% (231) | 0.4% (26) | 0.3% (17) | 0.03% (2) | 84.6% (22) |
| Ecstasy | 5.6% (337) | 5.2% (327) | 0.1% (4) | 0.02% (1) | — | 100% (4) |
| GHB/GBL | 0.9% (56) | 0.9% (54) | — | — | — | — |
| “Soft enhancers” (non-prescription drugs, food supplements, caffeine-containing products, etc.) | ||||||
| Herbal sedatives | 29.1% (1804) | 12.6% (793) | 18.2% (1143) | 13.2% (830) | 1.4% (86) | 63.9% (730) |
| Vitamins and tonics | 40.6% (2505) | 25.1% (1575) | 18.2% (1140) | 14.9% (933) | 5.2% (328) | 67.3% (766) |
| Coffee | 86.3% (5212) | 75.4% (4735) | 53.2% (3340) | 49.1% (3081) | 28.3% (1776) | 84.9% (2834) |
| Caffeine tablets | 7.4% (444) | 3.2% (200) | 4.4% (276) | 2.6% (166) | 0.3% (18) | 69.2% (191) |
| Energy drinks | 67.5% (4069) | 53.8% (3375) | 35.9% (2253) | 29.7% (1862) | 4% (250) | 82.1% (1849) |
Percent of students who used neuroenhancement.
St. John's wort, common valerian.
Gingko biloba, zinc, vitamin tablets.
Lifetime prevalence of neuroenhancement and experiences with illicit drugs of abuse by academic discipline (N = 6275).
| Neuroenhancement | Lifetime experience with illicit drugs of abuse | ||
| Major discipline | Prescription drugs OR drugs of abuse including alcohol | Including cannabis | Excluding cannabis |
| Biology ( | 14.5% (56) | 44.2% (170) | 5.6% (21) |
| Chemistry ( | 17.6% (36) | 43.4% (89) | 9.8% (19) |
| Medicine ( | 16.2% (64) | 46.6% (184) | 7.3% (28) |
| Psychology ( | 14.5% (49) | 51.9% (176) | 9.9% (32) |
| Journalism and communication ( | 18.2% (12) | 60.6% (40) | 14.1% (9) |
| Law ( | 14.5% (36) | 43.4% (108) | 9% (22) |
| Economics ( | 17.1% (55) | 49.2% (158) | 9.7% (30) |
| Architecture ( | 19.6% (63) | 56.4% (181) | 14.1% (43) |
| Sports ( | 7% (16) | 34.1% (78) | 5.8% (13) |
| Mechanical engineering ( | 10.6% (62) | 38.2% (223) | 6.8% (38) |
| Mathematics ( | 8.6% (15) | 36.2% (63) | 6.6% (11) |
| Pharmaceutical sciences ( | 16.1% (55) | 37.5% (128) | 6.1% (20) |
| Physics ( | 11.5% (24) | 37.3% (78) | 3% (6) |
| Environmental sciences ( | 11.4% (25) | 45.2% (99) | 10.9% (23) |
| Total ( | 13.8% (868) | 44.3% (2777) | 7.8% (491) |
Other (n = 2226): politics, veterinary medicine, theology, philosophy, history, literature, linguistics, art history, dental medicine, information technology, geography etc.
Cocaine, amphetamines, ecstasy, GHB/GBL, with/without cannabis.
Experience with neuroenhancement and illicit drugs of abuse (N = 6275).
| Neuroenhancement | ||
| Lifetime experience with illicit drugs of abuse ( | Never tried illicit drugs of abuse ( | |
| Prescription drugs | 10.8% (299) | 5% (176) |
| Drugs of abuse including alcohol | 13.1% (365) | 3.5% (123) |
| Prescription drugs AND drugs of abuse including alcohol | 2.9% (81) | 0.4% (14) |
| Prescription drugs OR drugs of abuse including alcohol | 21% (583) | 8.1% (285) |
p<0.05,
p<0.01,
p<0.001, compared with people who never tried illicit drugs of abuse.
Lifetime prevalence of neuroenhancement according to substance categories and study site based on directly cognitive-enhancing neuroenhancement substances, including methylphenidate, modafinil, antidepressants, anti-dementia agents, beta-blockers, cocaine, and amphetamines (N = 6275).
| Institution | ||||
| UZH ( | ETHZ ( | UniBas ( | Total ( | |
| Prescription drugs | ||||
| Men | 10.7% (11) | 5.1% (104) | 7.2% (74) | 5.9% (189) |
| Women | 7.3% (22) | 3.7% (48) | 6.6% (98) | 5.4% (168) |
| Total | 8.2% (33) | 4.5% (152) | 6.8% (172) | 5.7% (357) |
| Drugs of abuse | ||||
| Men | 1% (1) | 0.7% (15) | 0.7% (7) | 0.7% (23) |
| Women | 0.3% (1) | 0.3% (4) | 0.5% (7) | 0.4% (12) |
| Total | 0.5% (2) | 0.6% (19) | 0.6% (14) | 0.6% (35) |
| Prescription drugs AND drugs of abuse | ||||
| Men | - | 0.4% (9) | 0.2% (2) | 0.3% (11) |
| Women | 0.3% (1) | 0.3% (4) | 0.2% (3) | 0.3% (8) |
| Total | 0.2% (1) | 0.4% (13) | 0.2% (5) | 0.3% (19) |
| Prescription drugs OR drugs of abuse | ||||
| Men | 11.7% (12) | 5.4% (110) | 7.6% (79) | 6.3% (201) |
| Women | 7.3% (22) | 3.7% (48) | 6.8% (102) | 5.6% (172) |
| Total | 8.4% (34) | 4.7% (158) | 7.2% (182) | 5.9% (373) |
p<0.05,
p<0.01,
p<0.001, compared with women.