Wenbin Liang1, Tanya Chikritzhs2. 1. National Drug Research Institute, Curtin University, Perth, Western Australia, Australia. Electronic address: w.liang@curtin.edu.au. 2. National Drug Research Institute, Curtin University, Perth, Western Australia, Australia.
Abstract
BACKGROUND: Two ecological cross-sectional studies which relied on national survey data (U.S. and Australia) have shown that starting drinking at a younger age increases the frequency of heavy drinking in the general population, including those with good mental and physical health status. This study further investigates the hypothesis that age at first use of alcohol increases the risk of heavy alcohol use by applying data from a longitudinal study. METHOD: This study used public-use data collected from Wave I, Wave III and Wave IV of the National Longitudinal Study of Adolescent Health in the United States. The association between age at first use of alcohol and heavy alcohol use (5+ drinks per occasion) was examined with two different multivariate analysis approaches with data from 2316 participants: ordered logistic regression models and Poisson regression models with longitudinal data settings. In addition, the newly developed proxy outcome approach was further used to estimate and adjust for unmeasured/unobserved confounding factors. RESULTS: Age at first use of alcohol before 18 years was associated significantly higher risk of heavy alcohol use at follow-up. CONCLUSION: After adjusting for known and residual confounders, younger age at first use of alcohol was associated with significantly higher risk of heavy alcohol use, moreover, we posit that the association observed from this longitudinal study is probably causal. Abstinence from alcohol until the age of 18 years will likely reduce individual risk of alcohol-related problems in adulthood. In the longer term, delayed onset of exposure with widespread abstinence among this age group is also likely to reduce the overall prevalence of alcohol-related problems in the general population.
BACKGROUND: Two ecological cross-sectional studies which relied on national survey data (U.S. and Australia) have shown that starting drinking at a younger age increases the frequency of heavy drinking in the general population, including those with good mental and physical health status. This study further investigates the hypothesis that age at first use of alcohol increases the risk of heavy alcohol use by applying data from a longitudinal study. METHOD: This study used public-use data collected from Wave I, Wave III and Wave IV of the National Longitudinal Study of Adolescent Health in the United States. The association between age at first use of alcohol and heavy alcohol use (5+ drinks per occasion) was examined with two different multivariate analysis approaches with data from 2316 participants: ordered logistic regression models and Poisson regression models with longitudinal data settings. In addition, the newly developed proxy outcome approach was further used to estimate and adjust for unmeasured/unobserved confounding factors. RESULTS: Age at first use of alcohol before 18 years was associated significantly higher risk of heavy alcohol use at follow-up. CONCLUSION: After adjusting for known and residual confounders, younger age at first use of alcohol was associated with significantly higher risk of heavy alcohol use, moreover, we posit that the association observed from this longitudinal study is probably causal. Abstinence from alcohol until the age of 18 years will likely reduce individual risk of alcohol-related problems in adulthood. In the longer term, delayed onset of exposure with widespread abstinence among this age group is also likely to reduce the overall prevalence of alcohol-related problems in the general population.
Authors: Rebecca N Dudovitz; Bergen B Nelson; Tumaini R Coker; Christopher Biely; Ning Li; Lynne C Wu; Paul J Chung Journal: Soc Sci Med Date: 2016-04-11 Impact factor: 4.634
Authors: Lars Oreland; Gianvito Lagravinese; Simone Toffoletto; Kent W Nilsson; Jaanus Harro; C Robert Cloninger; Erika Comasco Journal: J Neural Transm (Vienna) Date: 2017-01-04 Impact factor: 3.575
Authors: Francisco Javier Pavón; Eva María Marco; Mariam Vázquez; Laura Sánchez; Patricia Rivera; Ana Gavito; Virginia Mela; Francisco Alén; Juan Decara; Juan Suárez; Elena Giné; José Antonio López-Moreno; Julie Chowen; Fernando Rodríguez-de-Fonseca; Antonia Serrano; María Paz Viveros Journal: PLoS One Date: 2016-09-23 Impact factor: 3.240