Does alcohol use and related harm differ based on the age of initiation to alcohol? Results from a prospective cohort study.
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| Title: | Does alcohol use and related harm differ based on the age of initiation to alcohol? Results from a prospective cohort study. |
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| Authors: | Clare, Philip J. (AUTHOR), Yuen, Wing See (AUTHOR), Henderson, Alexandra (AUTHOR), Kypri, Kypros (AUTHOR), Bruno, Raimondo (AUTHOR), Slade, Tim (AUTHOR), Hutchinson, Delyse (AUTHOR), McBride, Nyanda (AUTHOR), Wodalowski, Monika (AUTHOR), McCambridge, Jim (AUTHOR), Degenhardt, Louisa (AUTHOR), Boland, Veronica C. (AUTHOR), Mattick, Richard P. (AUTHOR), Peacock, Amy (AUTHOR) |
| Source: | Addiction. Jan2026, Vol. 121 Issue 1, p44-57. 14p. |
| Subjects: | Alcoholism risk factors, Risk assessment, Substance abuse, Statistical models, Repeated measures design, Data analysis, Research funding, Schools, Drug addiction, Statistical sampling, Logistic regression analysis, Probability theory, Age distribution, Binge drinking, Classification of mental disorders, Relative medical risk, Descriptive statistics, Longitudinal method, Odds ratio, Surveys, Child Behavior Checklist, Statistics, Alcohol drinking, Alcohols (Chemical class), Confidence intervals, Data analysis software, Time, Regression analysis, Symptoms, Adolescence, Adults |
| Geographic Terms: | Australia |
| Abstract: | Background and Aims: There is evidence to suggest that earlier initiation to alcohol increases the rate and severity of alcohol consumption. However, this often overlooks the fact that earlier initiation also means a longer drinking history. This paper estimated differences in patterns of alcohol use and harm across adolescence and early adulthood, allowing for the fact that the patterns over time may differ depending on the age at which initiation occurred. Design: Prospective cohort study. Setting: Australia. Participants: The Australian Parental Supply of Alcohol Longitudinal Study (APSALS), a cohort of n = 1906 adolescents recruited in adolescence (mean age 12.9) from 107 Australian schools and followed up until adulthood (11 annual waves total, 2010–2021). Measurements We defined age of initiation as the age at which alcohol consumption was first reported in the study. Our outcomes were amount of alcohol consumed, monthly heavy episodic drinking, alcohol‐related harm and self‐reported symptoms of alcohol use disorder in the years following initiation. Findings Those who initiated at age 12 had a lower risk of consumption [risk ratio (RR) 0.01; 95% confidence interval (CI) = 0.01–0.02] in the year following initiation (age 13), compared with those who initiated at age 18. Similarly, those who initiated at age 15 had a lower risk of alcohol use disorder in the year after initiation (RR 0.66; 95% CI = 0.52–0.83), compared with those who initiated at age 18. However, at age 20, those who initiated at age 12 showed higher consumption (RR 1.57; 95% CI = 1.18–2.09), monthly heavy episodic drinking (RR 1.24; 95% CI = 1.02–1.51) and alcohol‐related harms [incidence‐rate ratio (IRR) 1.73; 95% CI = 1.21–2.46] than those who initiated at age 18. Similar results were seen for symptoms consistent with DSM‐IV alcohol dependence (RR 1.20; 95% CI = 1.05–1.38), DSM‐IV alcohol abuse (RR 1.54; 95% CI = 1.04–2.29) and DSM‐5 alcohol use disorder (RR 1.36; 95% CI = 1.12–1.65). However, there was evidence of ageing out, with risk of heavy episodic drinking and alcohol‐related harm peaking around age 20 and then declining, regardless of when initiation occurred. Conclusions: Later initiation to alcohol appears to be associated with more rapid escalation in drinking and related harm, but lower 'peak' harm than earlier initiation. The findings support the current guidelines recommending adolescents avoid alcohol until adulthood, and reinforce the need for public health intervention targeting both children and parents. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 190304757 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Does alcohol use and related harm differ based on the age of initiation to alcohol? 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Jan2026, Vol. 121 Issue 1, p44-57. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Alcoholism+risk+factors%22">Alcoholism risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Substance+abuse%22">Substance abuse</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+models%22">Statistical models</searchLink><br /><searchLink fieldCode="DE" term="%22Repeated+measures+design%22">Repeated measures design</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Schools%22">Schools</searchLink><br /><searchLink fieldCode="DE" term="%22Drug+addiction%22">Drug addiction</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+sampling%22">Statistical sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+theory%22">Probability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Age+distribution%22">Age distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Binge+drinking%22">Binge drinking</searchLink><br /><searchLink fieldCode="DE" term="%22Classification+of+mental+disorders%22">Classification of mental disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Relative+medical+risk%22">Relative medical risk</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Surveys%22">Surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Child+Behavior+Checklist%22">Child Behavior Checklist</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Alcohol+drinking%22">Alcohol drinking</searchLink><br /><searchLink fieldCode="DE" term="%22Alcohols+%28Chemical+class%29%22">Alcohols (Chemical class)</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Time%22">Time</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Symptoms%22">Symptoms</searchLink><br /><searchLink fieldCode="DE" term="%22Adolescence%22">Adolescence</searchLink><br /><searchLink fieldCode="DE" term="%22Adults%22">Adults</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Australia%22">Australia</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background and Aims: There is evidence to suggest that earlier initiation to alcohol increases the rate and severity of alcohol consumption. However, this often overlooks the fact that earlier initiation also means a longer drinking history. This paper estimated differences in patterns of alcohol use and harm across adolescence and early adulthood, allowing for the fact that the patterns over time may differ depending on the age at which initiation occurred. Design: Prospective cohort study. Setting: Australia. Participants: The Australian Parental Supply of Alcohol Longitudinal Study (APSALS), a cohort of n = 1906 adolescents recruited in adolescence (mean age 12.9) from 107 Australian schools and followed up until adulthood (11 annual waves total, 2010–2021). Measurements We defined age of initiation as the age at which alcohol consumption was first reported in the study. Our outcomes were amount of alcohol consumed, monthly heavy episodic drinking, alcohol‐related harm and self‐reported symptoms of alcohol use disorder in the years following initiation. Findings Those who initiated at age 12 had a lower risk of consumption [risk ratio (RR) 0.01; 95% confidence interval (CI) = 0.01–0.02] in the year following initiation (age 13), compared with those who initiated at age 18. Similarly, those who initiated at age 15 had a lower risk of alcohol use disorder in the year after initiation (RR 0.66; 95% CI = 0.52–0.83), compared with those who initiated at age 18. However, at age 20, those who initiated at age 12 showed higher consumption (RR 1.57; 95% CI = 1.18–2.09), monthly heavy episodic drinking (RR 1.24; 95% CI = 1.02–1.51) and alcohol‐related harms [incidence‐rate ratio (IRR) 1.73; 95% CI = 1.21–2.46] than those who initiated at age 18. Similar results were seen for symptoms consistent with DSM‐IV alcohol dependence (RR 1.20; 95% CI = 1.05–1.38), DSM‐IV alcohol abuse (RR 1.54; 95% CI = 1.04–2.29) and DSM‐5 alcohol use disorder (RR 1.36; 95% CI = 1.12–1.65). However, there was evidence of ageing out, with risk of heavy episodic drinking and alcohol‐related harm peaking around age 20 and then declining, regardless of when initiation occurred. Conclusions: Later initiation to alcohol appears to be associated with more rapid escalation in drinking and related harm, but lower 'peak' harm than earlier initiation. The findings support the current guidelines recommending adolescents avoid alcohol until adulthood, and reinforce the need for public health intervention targeting both children and parents. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Addiction is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/add.70183 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 44 Subjects: – SubjectFull: Alcoholism risk factors Type: general – SubjectFull: Risk assessment Type: general – SubjectFull: Substance abuse Type: general – SubjectFull: Statistical models Type: general – SubjectFull: Repeated measures design Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Research funding Type: general – SubjectFull: Schools Type: general – SubjectFull: Drug addiction Type: general – SubjectFull: Statistical sampling Type: general – SubjectFull: Logistic regression analysis Type: general – SubjectFull: Probability theory Type: general – SubjectFull: Age distribution Type: general – SubjectFull: Binge drinking Type: general – SubjectFull: Classification of mental disorders Type: general – SubjectFull: Relative medical risk Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Longitudinal method Type: general – SubjectFull: Odds ratio Type: general – SubjectFull: Surveys Type: general – SubjectFull: Child Behavior Checklist Type: general – SubjectFull: Statistics Type: general – SubjectFull: Alcohol drinking Type: general – SubjectFull: Alcohols (Chemical class) Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Time Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: Symptoms Type: general – SubjectFull: Adolescence Type: general – SubjectFull: Adults Type: general – SubjectFull: Australia Type: general Titles: – TitleFull: Does alcohol use and related harm differ based on the age of initiation to alcohol? Results from a prospective cohort study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Clare, Philip J. – PersonEntity: Name: NameFull: Yuen, Wing See – PersonEntity: Name: NameFull: Henderson, Alexandra – PersonEntity: Name: NameFull: Kypri, Kypros – PersonEntity: Name: NameFull: Bruno, Raimondo – PersonEntity: Name: NameFull: Slade, Tim – PersonEntity: Name: NameFull: Hutchinson, Delyse – PersonEntity: Name: NameFull: McBride, Nyanda – PersonEntity: Name: NameFull: Wodalowski, Monika – PersonEntity: Name: NameFull: McCambridge, Jim – PersonEntity: Name: NameFull: Degenhardt, Louisa – PersonEntity: Name: NameFull: Boland, Veronica C. – PersonEntity: Name: NameFull: Mattick, Richard P. – PersonEntity: Name: NameFull: Peacock, Amy IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09652140 Numbering: – Type: volume Value: 121 – Type: issue Value: 1 Titles: – TitleFull: Addiction Type: main |
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