Literature DB >> 19969527

Measuring alcohol-related consequences in school surveys: alcohol-attributable consequences or consequences with students' alcohol attribution.

Gerhard Gmel1, Emmanuel Kuntsche, Matthias Wicki, Florian Labhart.   

Abstract

In alcohol epidemiology surveys, there is a tradition of measuring alcohol-related consequences using respondents' attribution of alcohol as the cause. The authors aimed to compare the prevalence and frequency of self-attributed consequences to consequences without self-attribution using alcohol-attributable fractions (AAF). In 2007, a total of 7,174 Swiss school students aged 13-16 years reported the numbers of 6 alcohol-related adverse consequences (e.g., fights, injuries) they had incurred in the past 12 months. Consequences were measured with and without attribution of alcohol as the cause. The alcohol-use measures were frequency and volume of drinking in the past 12 months and number of risky single-occasion (> or =5 drinks) drinking episodes in the past 30 days. Attributable fractions were derived from logistic (> or =1 incident) and Poisson (number of incidents) regression analyses. Although relative risk estimates were higher when alcohol-attributed consequences were compared with nonattributed consequences, the use of AAFs resulted in more alcohol-related consequences (10,422 self-attributed consequences vs. 24,520 nonattributed consequences determined by means of AAFs). The likelihood of underreporting was higher among drinkers with intermediate frequencies than among either rare drinkers or frequent drinkers. Therefore, the extent of alcohol-related adverse consequences among adolescents may be underestimated when using self-attributed consequences, because of differential attribution processes, especially among infrequent drinkers.

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Year:  2009        PMID: 19969527     DOI: 10.1093/aje/kwp331

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  6 in total

1.  Negative alcohol-related consequences experienced by young adults in the past 12 months: Differences by college attendance, living situation, binge drinking, and sex.

Authors:  Megan E Patrick; Yvonne M Terry-McElrath; Rebecca J Evans-Polce; John E Schulenberg
Journal:  Addict Behav       Date:  2020-01-20       Impact factor: 3.913

2.  Alcohol use and consequences in matriculating US college students by prescription stimulant/opioid nonmedical misuse status.

Authors:  Ty S Schepis; Shawn Acheson; Daniel Zapp; H Scott Swartzwelder
Journal:  Addict Behav       Date:  2019-06-18       Impact factor: 3.913

3.  Consequences of alcohol and marijuana use among college students: Prevalence rates and attributions to substance-specific versus simultaneous use.

Authors:  Kristina M Jackson; Alexander W Sokolovsky; Rachel L Gunn; Helene R White
Journal:  Psychol Addict Behav       Date:  2020-01-16

4.  Trends and social differences in alcohol consumption during the postcommunist transition in Lithuania.

Authors:  Jurate Klumbiene; Darius Kalasauskas; Janina Petkeviciene; Aurelijus Veryga; Edita Sakyte
Journal:  ScientificWorldJournal       Date:  2012-04-29

5.  Mortality and potential years of life lost attributable to alcohol consumption in Canada in 2005.

Authors:  Kevin D Shield; Benjamin Taylor; Tara Kehoe; Jayadeep Patra; Jürgen Rehm
Journal:  BMC Public Health       Date:  2012-01-31       Impact factor: 3.295

6.  Drinking patterns and the association between socio-demographic factors and adolescents' alcohol use in three metropolises in China.

Authors:  Shijun Lu; Songming Du; Xiaoqi Hu; Shurong Zou; Weijia Liu; Lei Ba; Guansheng Ma
Journal:  Int J Environ Res Public Health       Date:  2015-02-12       Impact factor: 3.390

  6 in total

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