Literature DB >> 7578541

Patterns of common drug use in teenagers.

G C Patton1, M Hibbert, M J Rosier, J B Carlin, J Caust, G Bowes.   

Abstract

To ascertain current levels of drug use among teenagers and to examine interrelationships in use, a two-stage cluster sample of Victorian secondary school students in years 7 (aged 12 to 13 years), 9 (14 to 15 years) and 11 (16 to 17 years) were surveyed using a questionnaire on computer. Tobacco use and alcohol consumption were evaluated by self-reported frequency of use and seven-day retrospective diaries. Marijuana and coffee consumption were assessed by self-reported frequency of recent use. The questionnaire was completed by 2525, a participation rate of 83 per cent. Tobacco use rose with year, with 24 per cent of young women and 16 per cent of young men in year 11 being regular smokers. Trends across year level for heavier alcohol consumption were also observed, with just under 10 per cent of year 11 students reporting a weekly consumption higher than the current recommended guidelines for adults. Strong interrelationships in drug use were found, with a pattern of association between smoking and drinking consistent with a mutual elevation of risk. Frequent use of tobacco and alcohol had a high risk for associated marijuana use. Coffee consumption carried a significant independent association with regular smoking. Teenage substance use is common and most occurs at low level and frequency. However, for a substantial and increasing minority across the teenage years, high levels of tobacco and alcohol consumption potentially compromise health. Frequent alcohol or tobacco use rather than heavy intermittent consumption is most likely to be associated with concurrent substance use potentially damaging to health.

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Year:  1995        PMID: 7578541     DOI: 10.1111/j.1753-6405.1995.tb00392.x

Source DB:  PubMed          Journal:  Aust J Public Health        ISSN: 1035-7319


  6 in total

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Authors:  Lyndal Bond; George Patton; Sara Glover; John B Carlin; Helen Butler; Lyndal Thomas; Glenn Bowes
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2.  Effects of ethanol, Δ(9)-tetrahydrocannabinol, or their combination on object recognition memory and object preference in adolescent and adult male rats.

Authors:  Nicholas A Swartzwelder; M Louise Risher; Sabri H Abdelwahab; Anouska D'Abo; Amir H Rezvani; Edward D Levin; Wilkie A Wilson; H Scott Swartzwelder; Shawn K Acheson
Journal:  Neurosci Lett       Date:  2012-08-29       Impact factor: 3.046

3.  Optimal two-stage sampling for mean estimation in multilevel populations when cluster size is informative.

Authors:  Francesco Innocenti; Math Jjm Candel; Frans Es Tan; Gerard Jp van Breukelen
Journal:  Stat Methods Med Res       Date:  2020-09-17       Impact factor: 3.021

4.  A mobile phone application for the assessment and management of youth mental health problems in primary care: a randomised controlled trial.

Authors:  Sophie C Reid; Sylvia D Kauer; Stephen J C Hearps; Alexander H D Crooke; Angela S Khor; Lena A Sanci; George C Patton
Journal:  BMC Fam Pract       Date:  2011-11-29       Impact factor: 2.497

5.  Clustering of smoking, alcohol drinking and cannabis use in adolescents in a rapidly developing country.

Authors:  David Faeh; Bharathi Viswanathan; Arnaud Chiolero; Wick Warren; Pascal Bovet
Journal:  BMC Public Health       Date:  2006-06-27       Impact factor: 3.295

6.  Psychological correlates and binge drinking behaviours among Canadian youth: a cross-sectional analysis of the mental health pilot data from the COMPASS study.

Authors:  Alexandra Butler; Isabella Romano; Karen Patte; Mark A Ferro; Margaret de Groh; Ying Jiang; Scott T Leatherdale
Journal:  BMJ Open       Date:  2019-06-29       Impact factor: 2.692

  6 in total

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