Agreement between two measures of alcohol consumption.

Redman, Selina; Sanson‐Fisher, Rob; Wilkinson, Celia; Fahey, Paul; Gibberd, Robert

doi:10.15288/jsa.1987.48.104

Cited by 97 publications

(35 citation statements)

References 16 publications

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“…Finally, several studies have examined the QF in relation to retrospective diaries or short-recall methods. Here, the results are the most consistent of all comparisons in that diaries yield larger volumes, especially for those categorized as lighter drinkers (Redman et al, 1987;Shakeshaft et al, 1999;Werch, 1989;Webb et al, 1990). However, it should be noted that such an instrument has the limitation of a short-recall period and cannot be applied for larger intervals as can the summary measure of the QF.…”

Section: Frequency and Quantitysupporting

confidence: 74%

Alcohol survey measures for Europe: A literature review

Bloomfield

Hope

Kraus

2012

Drugs: Education, Prevention and Policy

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Section: Frequency and Quantitysupporting

confidence: 74%

Alcohol survey measures for Europe: A literature review

Bloomfield

Hope

Kraus

2012

Drugs: Education, Prevention and Policy

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“…Diary measures, both prospective and retrospective, are useful measures of alcohol use that provide more accurate data than traditional aggregate measures (e.g., Lemmons et al, 1992; Redman, Sanson-Fisher, Wilkinson, Fahey, & Gibberd, 1987; Werch, 1990). Respondents reported daily consumption for the prior 7 days instead of estimating average use across a longer time frame.…”

Section: Discussionmentioning

confidence: 99%

Ups and downs of alcohol use among first-year college students: Number of drinks, heavy drinking, and stumble and pass out drinking days

Maggs¹,

Williams²,

Lee³

2011

Addictive Behaviors

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Given the dynamic fluctuating nature of alcohol use among emerging adults (Del Boca, Darkes, Greenbaum, & Goldman, 2004), patterns of alcohol use were modeled across 70 days in an intensive repeated-measures diary design. Two hundred first-year college students provided 10 weekly reports of their daily alcohol consumption via computer-assisted telephone interviews. Multi-level models demonstrated large within-person variability across days in drinks consumed, binge drinking, and days exceeding self-reported limits for stumbling around and passing out; these outcome variables were predicted by weekdays vs. weekend days (within-person) and gender, age of drinking initiation, fraternity/sorority membership, and alcohol motivations (between-persons). Repeated measurement of alternate indicators of alcohol use permits the examination of novel and important questions about alcohol use and abuse particularly in young adult and other erratically drinking populations. Keywordsrepeated-measures; alcohol use; emerging adults; daily diary Ups and Downs of Alcohol Use among First-year College Students: Drinks per Day, Heavy Drinking, and Stumble and Pass out DrinkingTemporal patterns of variability in alcohol use across days and weeks are receiving increased attention (e.g., Del Boca, Darkes, Greenbaum, & Goldman, 2004). Nesselroade (1991Nesselroade ( , 2004 distinguished three types of variability in developmental and clinical data. Interindividual differences include between-person differences at one time as well as stable traits such as gender. Intraindividual change represents enduring, cumulative gains or losses, Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Bachman, Wadsworth, & Johnston, 1996). Because fluctuations in alcohol use are pronounced among young adults (Chen & Kandel, 1995), and because acute consequences are affected more by intensity than frequency (Rehm, Greenfield, & Rogers, 1996), there is new interest in modeling patterns of alcohol use variability (e.g., Greenbaum, Del Boca, Darkes, Wang, & Goldman, 2005;Hussong, Hicks, Levy, & Curran, 2001;Tennen, Affleck, Armeli, & Carney, 2000). In the present study, we examine between-person differences in variability in alcohol use across 70 days among first-year college students. NIH Public Access Why Measure Fluctuations in Alcohol Use?National public health surveys are ideal for estimating prevalence, but miss possible infrequent heavy drinkers and provide no information about patterns of use across days, weeks, or months. If alcohol use or heavy drinking is erratic, short assessment windows may misclassify ...

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“…Weekly consumption of standard drinks was estimated from items measuring reported frequency of alcohol intake, and the number of standard drinks consumed on typical drinking days, following quantity-frequency assessment procedures [29,30]. An adjustment was made to this algorithm based on the frequency participants reported consuming six or more standard drinks (binge drinking).…”

Section: Methodsmentioning

confidence: 99%