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Patterns of Alcohol Use in Early Adolescence Predict Problem Use at Age 16
Aims: Teenagers in the UK report some of the highest rates of alcohol use in Europe. We identify patterns of alcohol use in early adolescence and relate these to hazardous and harmful alcohol use at age 16. Methods: In a UK birth cohort, we analysed repeated measures of alcohol use from age 13 to 15...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3284685/ https://www.ncbi.nlm.nih.gov/pubmed/22215001 http://dx.doi.org/10.1093/alcalc/agr156 |
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author | Heron, Jon Macleod, John Munafò, Marcus R. Melotti, Roberto Lewis, Glyn Tilling, Kate Hickman, Matthew |
author_facet | Heron, Jon Macleod, John Munafò, Marcus R. Melotti, Roberto Lewis, Glyn Tilling, Kate Hickman, Matthew |
author_sort | Heron, Jon |
collection | PubMed |
description | Aims: Teenagers in the UK report some of the highest rates of alcohol use in Europe. We identify patterns of alcohol use in early adolescence and relate these to hazardous and harmful alcohol use at age 16. Methods: In a UK birth cohort, we analysed repeated measures of alcohol use from age 13 to 15 in a sample of 7100 adolescents. Data on drinking frequency and typical consumption when drinking were modelled separately using a pair of latent class models. Classes of alcohol-use behaviour were contrasted across a range of risk factors and then to hazardous and harmful alcohol use as assessed using the Alcohol Use Disorders Identification Test scale at age 16. Results: Heterogeneity in drinking frequency and consumption could each be captured with three classes corresponding to low, medium and high levels. In total, 14.2% were classified as high-frequency and 8.9% as high consumption alcohol users. Socio-demographic factors, maternal substance use and the young persons' use of tobacco and cannabis were associated with class membership. At age 16, 29% were drinking hazardously and a further 5.6% were assessed as harmful drinkers. Young people in the high drinking frequency or consumption class had a 9-fold increased risk of reporting harmful drinking at age 16. Conclusions: By the age of 16, a substantial proportion of teenagers in this sample were drinking at levels that could be considered hazardous or harmful for an adult. Patterns of alcohol exposure in early adolescence were strongly associated with later alcohol use. Altering drinking patterns in middle adolescence has the potential to reduce harmful use in later adolescence. |
format | Online Article Text |
id | pubmed-3284685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-32846852012-11-02 Patterns of Alcohol Use in Early Adolescence Predict Problem Use at Age 16 Heron, Jon Macleod, John Munafò, Marcus R. Melotti, Roberto Lewis, Glyn Tilling, Kate Hickman, Matthew Alcohol Alcohol Epidemiology Aims: Teenagers in the UK report some of the highest rates of alcohol use in Europe. We identify patterns of alcohol use in early adolescence and relate these to hazardous and harmful alcohol use at age 16. Methods: In a UK birth cohort, we analysed repeated measures of alcohol use from age 13 to 15 in a sample of 7100 adolescents. Data on drinking frequency and typical consumption when drinking were modelled separately using a pair of latent class models. Classes of alcohol-use behaviour were contrasted across a range of risk factors and then to hazardous and harmful alcohol use as assessed using the Alcohol Use Disorders Identification Test scale at age 16. Results: Heterogeneity in drinking frequency and consumption could each be captured with three classes corresponding to low, medium and high levels. In total, 14.2% were classified as high-frequency and 8.9% as high consumption alcohol users. Socio-demographic factors, maternal substance use and the young persons' use of tobacco and cannabis were associated with class membership. At age 16, 29% were drinking hazardously and a further 5.6% were assessed as harmful drinkers. Young people in the high drinking frequency or consumption class had a 9-fold increased risk of reporting harmful drinking at age 16. Conclusions: By the age of 16, a substantial proportion of teenagers in this sample were drinking at levels that could be considered hazardous or harmful for an adult. Patterns of alcohol exposure in early adolescence were strongly associated with later alcohol use. Altering drinking patterns in middle adolescence has the potential to reduce harmful use in later adolescence. Oxford University Press 2012-03 2012-01-02 /pmc/articles/PMC3284685/ /pubmed/22215001 http://dx.doi.org/10.1093/alcalc/agr156 Text en © The Author 2012. Published by Oxford University Press on behalf of the Medical Council on Alcohol. http://creativecommons.org/licenses/by-nc/2.5/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Epidemiology Heron, Jon Macleod, John Munafò, Marcus R. Melotti, Roberto Lewis, Glyn Tilling, Kate Hickman, Matthew Patterns of Alcohol Use in Early Adolescence Predict Problem Use at Age 16 |
title | Patterns of Alcohol Use in Early Adolescence Predict Problem Use at Age 16 |
title_full | Patterns of Alcohol Use in Early Adolescence Predict Problem Use at Age 16 |
title_fullStr | Patterns of Alcohol Use in Early Adolescence Predict Problem Use at Age 16 |
title_full_unstemmed | Patterns of Alcohol Use in Early Adolescence Predict Problem Use at Age 16 |
title_short | Patterns of Alcohol Use in Early Adolescence Predict Problem Use at Age 16 |
title_sort | patterns of alcohol use in early adolescence predict problem use at age 16 |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3284685/ https://www.ncbi.nlm.nih.gov/pubmed/22215001 http://dx.doi.org/10.1093/alcalc/agr156 |
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