Trajectories of parental and peer supply of alcohol in adolescence and associations with later alcohol consumption and harms: A prospective cohort study

TY - JOUR

T1 - Trajectories of parental and peer supply of alcohol in adolescence and associations with later alcohol consumption and harms

T2 - A prospective cohort study

AU - Aiken, Alexandra

AU - Chan, Gary

AU - Yuen, Wing See

AU - Clare, Philip J.

AU - Hutchinson, Delyse

AU - McBride, Nyanda

AU - Najman, Jackob M.

AU - McCambridge, Jim

AU - Upton, Emily

AU - Slade, Tim

AU - Boland, Veronica C.

AU - De Torres, Clara

AU - Bruno, Raimondo

AU - Kypri, Kypros

AU - Wadolowski, Monika

AU - Mattick, Richard P.

AU - Peacock, Amy

N1 - Funding Information: The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The APSALS study was funded by a 2010–2014 Australian Research Council Discovery Project Grant, Australia (DP:1096668), two Australian Rotary Health Mental Health Research Grants, Australia and a 2018-2022 National Health and Medical Research Council project grant, Australia (APP1146634). WSY receives Ph.D. scholarships from the Australian Government under the Research Training Program and the National Drug and Alcohol Research Centre. Funding was also received from National Health and Medical Research Council Principal Research Fellowship Grants to RPM (APP1045318), and KK (GNT0188568, APP1041867), Australia; National Health and Medical Research Council Early Career Fellowship and National Health and Medical Research Council Investigator Fellowship Grants to AP (APP1109366; APP1174630) and DH (APP1197488), Australia; National Health and Medical Research Council Project Grants to RPM for a Longitudinal Cohorts Research Consortium (GNT1009381 and GNT1064893), Australia; a Research Innovation Grant from the Australian Foundation for Alcohol Research and Education, Australia; and the National Drug and Alcohol Research Centre, University of New South Wales Sydney, Australia, which is supported by funding from the Australian Government under the Drug and Alcohol Program. Funding Information: The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The APSALS study was funded by a 2010–2014 Australian Research Council Discovery Project Grant , Australia ( DP:1096668 ), two Australian Rotary Health Mental Health Research Grants , Australia and a 2018-2022 National Health and Medical Research Council project grant , Australia ( APP1146634 ). WSY receives Ph.D. scholarships from the Australian Government under the Research Training Program and the National Drug and Alcohol Research Centre. Funding was also received from National Health and Medical Research Council Principal Research Fellowship Grants to RPM ( APP1045318 ), and KK ( GNT0188568 , APP1041867 ), Australia; National Health and Medical Research Council Early Career Fellowship and National Health and Medical Research Council Investigator Fellowship Grants to AP ( APP1109366 ; APP1174630 ) and DH ( APP1197488 ), Australia; National Health and Medical Research Council Project Grants to RPM for a Longitudinal Cohorts Research Consortium ( GNT1009381 and GNT1064893 ), Australia; a Research Innovation Grant from the Australian Foundation for Alcohol Research and Education , Australia; and the National Drug and Alcohol Research Centre , University of New South Wales Sydney , Australia, which is supported by funding from the Australian Government under the Drug and Alcohol Program.

PY - 2022/8/1

Y1 - 2022/8/1

N2 - Background: Supply of alcohol to adolescents is associated with increased alcohol consumption and harms including alcohol use disorder (AUD). We aimed to identify: (1) trajectories of alcohol supply to adolescents; (2) sociodemographic characteristics associated with supply trajectory; (3) patterns of alcohol consumption by supply trajectory; and (4) supply trajectory associations with adverse alcohol outcomes. Methods: We used Australian longitudinal survey data (N = 1813) to model latent trajectories of parent and peer alcohol supply over five annual follow-ups (Waves 2–6; Mage 13.9–17.8 years). Regression models assessed associations between supply trajectories and Wave 1 (Mage=12.9 years) sociodemographic factors and associations between supply trajectories and Wave 7 (Mage=18.8 years) alcohol outcomes. Results: We identified five alcohol supply classes: (1) minimal supply (n = 739, 40.8%); (2) early parent sips, late peer/parent whole drinks (n = 254, 14.0%); (3) late peer/parent whole drinks (n = 419, 23.1%); (4) early parent sips, mid peer/parent whole drinks (n = 293, 16.2%); (5) early peer/parent whole drinks (n = 108, 6.0%). Compared to minimal supply, the other classes were 2.7–12.9 times as likely to binge drink, 1.6–3.0 times as likely to experience alcohol-related harms, and 2.1–8.6 times as likely to report AUD symptoms at age 19. Conclusion: Earlier supply of whole drinks, particularly from peers, was associated with increased risk of early adulthood adverse alcohol outcomes. While minimal supply represented the lowest risk, supplying sips only in early-mid adolescence and delaying supply of whole drinks until late adolescence is likely to be less risky than earlier supply of whole drinks.

AB - Background: Supply of alcohol to adolescents is associated with increased alcohol consumption and harms including alcohol use disorder (AUD). We aimed to identify: (1) trajectories of alcohol supply to adolescents; (2) sociodemographic characteristics associated with supply trajectory; (3) patterns of alcohol consumption by supply trajectory; and (4) supply trajectory associations with adverse alcohol outcomes. Methods: We used Australian longitudinal survey data (N = 1813) to model latent trajectories of parent and peer alcohol supply over five annual follow-ups (Waves 2–6; Mage 13.9–17.8 years). Regression models assessed associations between supply trajectories and Wave 1 (Mage=12.9 years) sociodemographic factors and associations between supply trajectories and Wave 7 (Mage=18.8 years) alcohol outcomes. Results: We identified five alcohol supply classes: (1) minimal supply (n = 739, 40.8%); (2) early parent sips, late peer/parent whole drinks (n = 254, 14.0%); (3) late peer/parent whole drinks (n = 419, 23.1%); (4) early parent sips, mid peer/parent whole drinks (n = 293, 16.2%); (5) early peer/parent whole drinks (n = 108, 6.0%). Compared to minimal supply, the other classes were 2.7–12.9 times as likely to binge drink, 1.6–3.0 times as likely to experience alcohol-related harms, and 2.1–8.6 times as likely to report AUD symptoms at age 19. Conclusion: Earlier supply of whole drinks, particularly from peers, was associated with increased risk of early adulthood adverse alcohol outcomes. While minimal supply represented the lowest risk, supplying sips only in early-mid adolescence and delaying supply of whole drinks until late adolescence is likely to be less risky than earlier supply of whole drinks.

KW - Alcohol supply, parental supply, latent class analysis, adolescents

KW - Alcohol use disorder

KW - Cohort studies

UR - http://www.scopus.com/inward/record.url?scp=85133747110&partnerID=8YFLogxK

U2 - 10.1016/j.drugalcdep.2022.109533

DO - 10.1016/j.drugalcdep.2022.109533

M3 - Article

C2 - 35752023

AN - SCOPUS:85133747110

SN - 0376-8716

VL - 237

JO - Drug and alcohol dependence

JF - Drug and alcohol dependence

M1 - 109533

ER -