| Literature DB >> 22321198 |
Johanna Gripenberg-Abdon1, Tobias H Elgán, Eva Wallin, Marjan Shaafati, Olof Beck, Sven Andréasson.
Abstract
BACKGROUND: During the last few decades the use of club drugs (e.g., cocaine, amphetamines) has been of increased concern in nightlife settings. Traditionally, surveys have been used to estimate the use of club drugs, however, they mostly rely on self-reports which may not be accurate. Recent advances have allowed for readily accessible drug testing methods such as oral fluid drug testing. Nevertheless, research using oral fluid sampling to measure the frequency of drug use in the club environment is scarce. The objective of this study is to evaluate the feasibility of measuring the frequency of alcohol and drug use among Swedish clubbers using breath alcohol and oral fluid drug testing.Entities:
Mesh:
Substances:
Year: 2012 PMID: 22321198 PMCID: PMC3295681 DOI: 10.1186/1747-597X-7-7
Source DB: PubMed Journal: Subst Abuse Treat Prev Policy ISSN: 1747-597X
Overall demographics and characteristics of patrons
| Characteristic | Females (n = 145) % (n) | Males (n = 256) % (n) | Total (n = 401) % (n) |
|---|---|---|---|
| Age | |||
| < 25 years | 62.8 (91) | 48.8 (125) | 54.0 (216) |
| 25-29 | 22.1 (32) | 21.5 (55) | 21.7 (87) |
| 30-39 | 13.8 (20) | 25.8 (66) | 21.4 (86) |
| 40+ | 1.4 (2) | 3.9 (10) | 3.0 (12) |
| Employment/student status | |||
| Employed, full time | 28.2 (40) | 65.5 (163) | 51.9 (203) |
| Employed, part time | 31.0 (44) | 12.0 (30) | 18.9 (74) |
| Unemployed | 14.1 (20) | 4.8 (12) | 8.2 (32) |
| Student, full time | 31.7 (45) | 19.9 (50) | 24.2 (95) |
| Student, part time | 7.0 (10) | 6.0 (15) | 6.4 (25) |
| Nonstudent | 59.9 (85) | 70.9 (178) | 66.9 (263) |
| Relationship status | |||
| In a relationship | 53.8 (78) | 42.5 (108) | 46.7 (186) |
| Not in a relationship | 44.8 (65) | 55.9 (142) | 51.9 (207) |
Patrons self-reported drug use (%)
| Have tried | A couple of times/month | Every weekend | A couple of times/week | Last 48 hrs | Usually use when clubbing | Planning to use at this event | |
|---|---|---|---|---|---|---|---|
| Cannabis | 41.5 | 7.2 | 2.6 | 1.5 | 2.1 | 6.1 | 1.9 |
| Amphetamines | 18.5 | 2.3 | 0.3 | 0.0 | 1.3 | 3.7 | 1.9 |
| Cocaine | 12.3 | 0.8 | 0.0 | 0.3 | 0.8 | 1.6 | 0.8 |
| Ecstasy/MDMA | 16.2 | 0.3 | 0.0 | 0.0 | 0.5 | 1.8 | 0.8 |
Figure 1Frequency of illicit drug use. A comparison between the frequency (in per cent) of illicit drug use as determined by oral fluid drug testing (dark grey, n = 396) compared to self-reported drug use within the past 48 hours (light grey, n = 382). Since questions about metamphetamine use were not included in the self-report questionnaire, a subsequent estimate was not available (asterisk).
Frequency of actual illicit drug use for males and females (%)
| Amphet amine | Metamph etamine | Cannabis | Cocaine | Ecstasy/MDMA | Any illicit drug | |
|---|---|---|---|---|---|---|
| Male | 8.6 | 1.2 | 2.0 | 0.4 | 2.4 | 11.8 |
| Female | 4.2 | 0 | 0.7 | 0 | 2.8 | 6.9 |
Figure 2Measured blood alcohol concentrations and AUDIT-C scores. (A) Blood alcohol concentrations (BAC) for males (n = 250, grey filled circles), females (n = 142, black filled circles), and both genders (n = 392, solid line) distributed over the percentile range. (B) Total AUDIT-C scores (ranging from 0-12 points) for males (n = 254, grey filled circles), females (n = 145, black filled circles), and both genders (n = 399, solid line) distributed over the percentile range.
Results from bivariate and multivariate analyses using logistic regression modeling to adjust for possible confounders
| Predictor variables | Bivariate analyses | Multivariate analyses | ||||
|---|---|---|---|---|---|---|
| χ2 (d.f.) | χ2 (d.f.)a | |||||
| BAC level (≥ 0.1% | 7.66(1)** | 2.65 | 1.30-5.40 | 5.63(1)* | 2.53 | 1.18-5.43 |
| Risky alcohol consumption (yes | 2.47(1) | 2.14 | 0.81-5.63 | 1.84(1) | 2.17 | 0.71-6.61 |
| Gender (males vs. females) | 2.40(1) | 1.79 | 0.85-3.78 | 1.35(1) | 1.59 | 0.72-3.45 |
| Clubbing (≥ 1 times/week | 1.22(1) | 1.46 | 0.75-2.85 | 0.21(1) | 1.18 | 0.57-2.46 |
| Time (2 a.m. or later | 2.76(1) | 1.79 | 0.89-3.58 | 2.88(1) | 1.89 | 0.91-3.94 |
| Age (≥ 25 years | 0.02(1) | 0.95 | 0.49-1.83 | 0.34(1) | 0.81 | 0.40-1.36 |
| Relationship status (no relationship | 0.71(1) | 0.75 | 0.39-1.46 | 2.32(1) | 0.58 | 0.28-1.17 |
| Illicit drug use (yes | 7.66(1)** | 2.65 | 1.30-5.40 | 5.79(1)* | 2.55 | 1.19-5.45 |
| Risky alcohol consumption (yes vs. no) | 13.51(1)*** | 2.57 | 1.54-4.30 | 8.50(1)** | 2.28 | 1.31-3.96 |
| Gender (males vs. females) | 10.58(1)** | 2.00 | 1.31-3.05 | 7.49(1)** | 1.88 | 1.19-2.94 |
| Clubbing (≥ 1 times/week | 11.83(1)** | 2.11 | 1.38-3.25 | 4.05(1)* | 1.62 | 1.01-2.60 |
| Time (2 a.m. or later | 0.96(1) | 1.22 | 0.82-1.82 | 0.28(1) | 1.12 | 0.73-1.72 |
| Age (≥ 25 years | 0.54(1) | 1.05 | 0.71-1.56 | 0.89(1) | 1.24 | 0.80-1.92 |
| Relationship status (no relationship | 3.06(1) | 1.43 | 0.96-2.14 | 0.67(1) | 1.20 | 0.77-1.87 |
aWald χ2 statistics based on logistic regression modeling
bDV is the dependent variable
*p < 0.05
**p < 0.01
***p < 0.001