Highlights
- Three groups of drug users were found in São Paulo nightclubs.
- It is more likely to find high level polydrug users in electronic or hip-hop nightclubs.
- Frequency of attendance, gender and age are associate to the two polydrug groups.
- Binge drinking was a predominant behaviour in all groups.
Background
Nightclubs are
places with a high prevalence of binge drinking and illicit drug use. The aim
of this study was to evaluate the characteristics of polydrug use, including
licit and illicit drugs, among 2420 nightclub patrons in a probabilistic sample
in the city of São Paulo, Brazil,
Methods
The study was
conducted in 2013. A latent class analysis (LCA) of polydrug use, accounting
for binge drinking (BD) and other drug use (cannabis, cocaine, ecstasy,
tobacco, ketamine, inhalants and hallucinogens) in the past 12 months was
performed using Mplus. Multinomial logistic regression was used to evaluate
latent class associations with sociodemographic characteristics and variables
that characterise type of nightclub and frequency of attendance.
Findings
A three-class LCA
model best described polydrug use patterns. We found a “no polydrug use” class
(55%), a “moderate polydrug use” class (35%) and a “high level polydrug use”
class (10%). Compared to “no polydrug use”, patrons in the two “polydrug use
classes” were more likely to be men, young adults (<34 years), have attended
nightclubs three times or more per month and have attended hip-hop and rock
music nightclubs. Patrons in the “high level polydrug use” class were more
likely to attend electronic (aOR = 9.9, 95% CI: 5.4–8.1, p < 0.001)
and hip-hop music nightclubs (aOR = 10.1, 95% CI: 6.2–16.5, p < 0.001).
Conclusion
LCA is a useful
method to identify groups of polydrug users among nightclub patrons. The three
groups identified represented the diversity of patrons of São Paulo nightclubs.
Frequency of attendance and the nightclub's musical style were highly
correlated with polydrug use.
Purchase full article at:
a Department of Preventive
Medicine, Section of Biostatistics, Universidade Federal de Sao Paulo, Rua
Botucatu, 740, São Paulo, SP, Brazil
b Department of Preventive
Medicine, Section of Epidemiology, Universidade Federal de São Paulo, Rua
Botucatu, 740, São Paulo, SP, Brazil
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