Literature DB >> 10400547

Alcohol intake assessment: the sober facts.

G I Feunekes1, P van 't Veer, W A van Staveren, F J Kok.   

Abstract

Recent recommendations in regard to the level of alcohol intake have mainly been based on epidemiologic studies which relied on self-reported amounts of alcohol consumed. Therefore, it is important to be aware of the quality of self-reported measures of alcohol intake. Alcohol intake assessment methods were reviewed with respect to their capacity to rank individuals according to alcohol intake and their ability to explain the variation in the level of intake in population samples. In 33 methodological papers published after 1984, alcohol intake was assessed by five main methods: quantity frequency, extended quantity frequency, retrospective diary, prospective diary, and 24-hour recalls. The mean level of alcohol intake differed by 20% between these methods. It was also found that when researchers asked specifically about intake of beer, wine, and liquor, this resulted in 20% higher estimates of intake. These percentages were similar among populations with low and high mean alcohol consumption (4 vs. 10 drinks per week). It was found that ranking of individuals according to intake was satisfactory, with weighted correlation coefficients between methods ranging from 0.63 to 0.73. The authors conclude that, when there is sufficient evidence that alcohol intake is underestimated in a population, methods that enquire about both the frequency and amount consumed, for beer, wine, and liquor, separately, will yield the most realistic levels of intake.

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Year:  1999        PMID: 10400547     DOI: 10.1093/oxfordjournals.aje.a009909

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


  69 in total

1.  Increased prevalence of depression, smoking, heavy drinking and use of psycho-active drugs among unemployed men in France.

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2.  Metropolitan-area estimates of binge drinking in the United States.

Authors:  David E Nelson; Timothy S Naimi; Robert D Brewer; Julie Bolen; Henry E Wells
Journal:  Am J Public Health       Date:  2004-04       Impact factor: 9.308

3.  Bidirectional associations between alcohol consumption and health-related quality of life amongst young and middle-aged women.

Authors:  I C Schrieks; M Y Wei; E B Rimm; O I Okereke; I Kawachi; H F J Hendriks; K J Mukamal
Journal:  J Intern Med       Date:  2015-12-20       Impact factor: 8.989

4.  Surveillance for Certain Health Behaviors and Conditions Among States and Selected Local Areas - Behavioral Risk Factor Surveillance System, United States, 2015.

Authors:  Cassandra M Pickens; Carol Pierannunzi; William Garvin; Machell Town
Journal:  MMWR Surveill Summ       Date:  2018-06-29

5.  A comparison between brand-specific and traditional alcohol surveillance methods to assess underage drinkers' reported alcohol use.

Authors:  Sarah P Roberts; Michael B Siegel; William DeJong; David H Jernigan
Journal:  Am J Drug Alcohol Abuse       Date:  2014-07-25       Impact factor: 3.829

6.  Neurosteroid modulators of GABA(A) receptors differentially modulate Ethanol intake patterns in male C57BL/6J mice.

Authors:  Matthew M Ford; Jeffrey D Nickel; Tamara J Phillips; Deborah A Finn
Journal:  Alcohol Clin Exp Res       Date:  2005-09       Impact factor: 3.455

7.  Risk factors for pancreatic cancer: case-control study.

Authors:  Manal M Hassan; Melissa L Bondy; Robert A Wolff; James L Abbruzzese; Jean-Nicolas Vauthey; Peter W Pisters; Douglas B Evans; Rabia Khan; Ta-Hsu Chou; Renato Lenzi; Li Jiao; Donghui Li
Journal:  Am J Gastroenterol       Date:  2007-08-31       Impact factor: 10.864

Review 8.  Association between alcohol consumption and both osteoporotic fracture and bone density.

Authors:  Karina M Berg; Hillary V Kunins; Jeffrey L Jackson; Shadi Nahvi; Amina Chaudhry; Kenneth A Harris; Rubina Malik; Julia H Arnsten
Journal:  Am J Med       Date:  2008-05       Impact factor: 4.965

9.  Differences in patterns of alcohol consumption among Hispanics in the United States, by survey language preference, Behavioral Risk Factor Surveillance System, 2005.

Authors:  William S Pearson; Shanta R Dube; David E Nelson; Raul Caetano
Journal:  Prev Chronic Dis       Date:  2009-03-16       Impact factor: 2.830

10.  A non-synonymous variant in ADH1B is strongly associated with prenatal alcohol use in a European sample of pregnant women.

Authors:  Luisa Zuccolo; Nicola Fitz-Simon; Ron Gray; Susan M Ring; Kapil Sayal; George Davey Smith; Sarah J Lewis
Journal:  Hum Mol Genet       Date:  2009-08-17       Impact factor: 6.150

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