TY - JOUR
T1 - Adolescents’ alcohol use and strength of policy relating to youth access, trading hours and driving under the influence
T2 - findings from Australia
AU - White, Victoria
AU - Azar, Denise
AU - Faulkner, Agatha
AU - Coomber, Kerri
AU - Durkin, Sarah
AU - Livingston, Michael
AU - Chikritzhs, Tanya
AU - Room, Robin
AU - Wakefield, Melanie
N1 - Funding Information:
This study was supported by a National Health and Medical Research Council (NHMRC) Partnership Project Grant no. 1037104 with the Victorian Health Promotion Foundation and the Foundation for Alcohol Research and Education. M.L. is supported by a NHMRC Early Career Fellowship and by FARE. R.R. is supported by FARE. T.C. is supported by a NHMRC Career Development Fellowship. M.W. is supported by a NHMRC Principal Research Fellowship. Funding for data collection for the student surveys used in this paper was made available from Cancer Councils and state health departments as well as the Australian Government Department of Health and Ageing. TRPs data used in this study are from OzTAM Pty Ltd, provided through Nielsen Australia.
Publisher Copyright:
© 2018 Society for the Study of Addiction
PY - 2018/6
Y1 - 2018/6
N2 - Aims: To determine (i) whether the strength of Australian alcohol control policy in three domains (youth access, trading hours and drink driving) changed during the 2000s; and (ii) estimate associations between these policies and adolescent drinking after adjusting for television alcohol advertising exposures, alcohol outlet density, alcohol price changes, exposure to negative articles about alcohol in daily newspapers and adult drinking prevalence. Design: Repeated cross-sectional surveys conducted triennially from 2002 to 2011. Multi-level modelling examined the association between alcohol control policies and drinking prevalence after adjusting for covariates. Setting: Four Australian capital cities between 2002 and 2011. Participants: Students aged 12–17 years participating in a triennial national representative school-based survey (sample size range/survey: 9805–13 119). Measurements: Outcome measures were: past month drinking and risky drinking (5+ drinks on a day) in the past 7 days. Policy strength in each of three domains (youth access, trading hours, drink-driving) were the key predictor variables. Covariates included: past 3-month television alcohol and alcohol-control advertising, alcohol outlet density, alcohol price change, negatively framed newspaper alcohol articles, adult drinking prevalence and student demographic characteristics. Findings: During the study period, the strength of youth access policies increased by 10%, trading hours policies by 14% and drink-driving policies by 58%. Past-month and risky drinking prevalence decreased (e.g. past-month: 2002: 47.4% to 2011: 26.3%). Multivariable analyses that included all policy variables and adjusted for year, student and other covariates showed past-month drinking to be associated inversely with stronger trading hours policies [odds ratio (OR) = 0.80, 95% confidence interval (CI) = 0.69, 0.94], but not youth access (OR = 0.92 95% CI = 0.81, 1.04) or drink-driving (OR = 1.00, 95% CI = 0.93, 1.09). Risky drinking was associated inversely with stronger youth access policies (OR = 0.82, 95% CI = 0.69, 0.98), but not trading hours (OR = 0.85, 95% CI = 0.66, 1.09) or drink-driving (OR = 1.02, 95% CI = 0.90, 1.14) policies. Conclusions: Population-directed policies designed to reduce alcohol availability and promotion may reduce adolescents’ alcohol use.
AB - Aims: To determine (i) whether the strength of Australian alcohol control policy in three domains (youth access, trading hours and drink driving) changed during the 2000s; and (ii) estimate associations between these policies and adolescent drinking after adjusting for television alcohol advertising exposures, alcohol outlet density, alcohol price changes, exposure to negative articles about alcohol in daily newspapers and adult drinking prevalence. Design: Repeated cross-sectional surveys conducted triennially from 2002 to 2011. Multi-level modelling examined the association between alcohol control policies and drinking prevalence after adjusting for covariates. Setting: Four Australian capital cities between 2002 and 2011. Participants: Students aged 12–17 years participating in a triennial national representative school-based survey (sample size range/survey: 9805–13 119). Measurements: Outcome measures were: past month drinking and risky drinking (5+ drinks on a day) in the past 7 days. Policy strength in each of three domains (youth access, trading hours, drink-driving) were the key predictor variables. Covariates included: past 3-month television alcohol and alcohol-control advertising, alcohol outlet density, alcohol price change, negatively framed newspaper alcohol articles, adult drinking prevalence and student demographic characteristics. Findings: During the study period, the strength of youth access policies increased by 10%, trading hours policies by 14% and drink-driving policies by 58%. Past-month and risky drinking prevalence decreased (e.g. past-month: 2002: 47.4% to 2011: 26.3%). Multivariable analyses that included all policy variables and adjusted for year, student and other covariates showed past-month drinking to be associated inversely with stronger trading hours policies [odds ratio (OR) = 0.80, 95% confidence interval (CI) = 0.69, 0.94], but not youth access (OR = 0.92 95% CI = 0.81, 1.04) or drink-driving (OR = 1.00, 95% CI = 0.93, 1.09). Risky drinking was associated inversely with stronger youth access policies (OR = 0.82, 95% CI = 0.69, 0.98), but not trading hours (OR = 0.85, 95% CI = 0.66, 1.09) or drink-driving (OR = 1.02, 95% CI = 0.90, 1.14) policies. Conclusions: Population-directed policies designed to reduce alcohol availability and promotion may reduce adolescents’ alcohol use.
KW - Adolescents
KW - alcohol advertising
KW - alcohol control policy
KW - alcohol use
KW - population-based
KW - survey
UR - http://www.scopus.com/inward/record.url?scp=85042233324&partnerID=8YFLogxK
U2 - 10.1111/add.14164
DO - 10.1111/add.14164
M3 - Article
C2 - 29356174
AN - SCOPUS:85042233324
SN - 0965-2140
VL - 113
SP - 1030
EP - 1042
JO - Addiction
JF - Addiction
IS - 6
ER -