Risky single occasion drinking (RSOD) by young people is a serious public health issue, yet little is known about the specific circumstances of risky drinking occasions. This study examined the independent effects of event- and individual-specific variables on RSOD.
Longitudinal cohort study measuring self-reported RSOD and event- and individual-specific variables across two drinking occasions approximately one year apart.
Metropolitan Melbourne, Australia.
A sample of 710 young risky drinkers aged between 18 and 25 years and defined as
engaging in risky drinking practices (males: consumed alcohol in excess of 10 Australian Standard
Drinks [ASDs: 10g ethanol] in a single occasion in the previous year; females: consumed alcohol in
excess of 7 ASDs for females in a single occasion in the previous year).
Random digit dial telephone landline survey of the most recent heavy drinking
occasion and socio-demographic variables. The primary outcome was the log of the total drinks
consumed in the most recent heavy drinking occasion. Event-specific (e.g. number of drinking
locations) and time-varying (e.g. weekly income) and time-invariant (e.g. sex) individual–specific
variables were examined as correlates of total drinks consumed.
Changes in event-specific characteristics including the length of the drinking occasion
(2)=29.9, p<0.001), the number of drinking locations (Wald χ2
(1)=7.6, p=0.006) and the
number of different drink types (Wald χ2
(1)=13.6, p<0.001) were associated with increases in total
drinks consumed, after adjustment for time-invariant and time-variant individual-specific variables
such as gender, income level and weekly consumption. Few other effects were noted.
Event-specific characteristics are important predictors of the number of drinks
consumed during risky single occasion drinking (RSOD) and illustrate the importance of event
contexts when considering interventions targeting RSOD. The total number of drinks consumed in a
RSOD session appears to rise independently with the duration of the drinking event, the number of
drinking locations, and the number of different types of beverage consumed.
This study was funded by Australian Research Council. Michael L. is supported by an NHMRC Career Development Fellowship and R. J. by an NHMRC Early Career Fellowship. Megan L. is supported by the Jim and Margaret Beever Fellowship from the Burnet Institute. R. R. and S. C. are supported by a grant from the Foundation for Alcohol Research and Education (FARE). C. W. is supported by an Australian Government Research Training Program Scholarship. The authors gratefully acknowledge the Victorian Operational Infrastructure Support Program received by the Burnet Institute.
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