Literature DB >> 27488456

Conceptualizing and Measuring Weekend versus Weekday Alcohol Use: Item Response Theory and Confirmatory Factor Analysis.

Andrew Lac1, Lindsay Handren2, William D Crano2.   

Abstract

Culturally, people tend to abstain from alcohol intake during the weekdays and wait to consume in greater frequency and quantity during the weekends. The current research sought to empirically justify the days representing weekday versus weekend alcohol consumption. In study 1 (N = 419), item response theory was applied to a two-parameter (difficulty and discrimination) model that evaluated the days of drinking (frequency) during the typical 7-day week. Item characteristic curves were most similar for Monday, Tuesday, and Wednesday (prototypical weekday) and for Friday and Saturday (prototypical weekend). Thursday and Sunday, however, exhibited item characteristics that bordered the properties of weekday and weekend consumption. In study 2 (N = 403), confirmatory factor analysis was applied to test six hypothesized measurement structures representing drinks per day (quantity) during the typical week. The measurement model producing the strongest fit indices was a correlated two-factor structure involving separate weekday and weekend factors that permitted Thursday and Sunday to double load on both dimensions. The proper conceptualization and accurate measurement of the days demarcating the normative boundaries of "dry" weekdays and "wet" weekends are imperative to inform research and prevention efforts targeting temporal alcohol intake patterns.

Entities:  

Keywords:  Alcohol; Confirmatory factor analysis; Item response theory; Weekday drinking; Weekend drinking

Mesh:

Year:  2016        PMID: 27488456      PMCID: PMC5898433          DOI: 10.1007/s11121-016-0685-9

Source DB:  PubMed          Journal:  Prev Sci        ISSN: 1389-4986


  34 in total

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Authors:  M Argeriou
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Journal:  J Stud Alcohol       Date:  1991-09

4.  Mental health, sleep quality, drinking motives, and alcohol-related consequences: a path-analytic model.

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5.  Influence of the recall period on a beverage-specific weekly drinking measure for alcohol intake.

Authors:  O Ekholm; K Strandberg-Larsen; M Grønbæk
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6.  Drinking to have fun and to get drunk: motives as predictors of weekend drinking over and above usual drinking habits.

Authors:  Emmanuel Kuntsche; M Lynne Cooper
Journal:  Drug Alcohol Depend       Date:  2010-04-03       Impact factor: 4.492

7.  The prevalence of alcohol use disorders among night-time weekend drivers.

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Journal:  Addiction       Date:  2011-05-06       Impact factor: 6.526

8.  Protective behavioral strategies mediate the effect of drinking motives on alcohol use among heavy drinking college students: gender and race differences.

Authors:  Joseph W Labrie; Andrew Lac; Shannon R Kenney; Tehniat Mirza
Journal:  Addict Behav       Date:  2010-12-10       Impact factor: 3.913

9.  Alcohol as a risk factor for unintentional rail injury fatalities during daylight hours.

Authors:  Richard Matzopoulos; Margie Peden; Debbie Bradshaw; Esme Jordaan
Journal:  Int J Inj Contr Saf Promot       Date:  2006-06

10.  Daily mood-drinking slopes as predictors: a new take on drinking motives and related outcomes.

Authors:  Cynthia D Mohr; Debi Brannan; Staci Wendt; Laurie Jacobs; Robert Wright; Mo Wang
Journal:  Psychol Addict Behav       Date:  2013-05-06
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  4 in total

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Authors:  Li Cai; Seung Won Chung; Taehun Lee
Journal:  Prev Sci       Date:  2021-05-10

2.  Pathways from Positive, Negative, and Specific Alcohol Expectancies to Weekday and Weekend Drinking to Alcohol Problems.

Authors:  Andrew Lac; Jeremy W Luk
Journal:  Prev Sci       Date:  2019-07

3.  Uncovering the behaviour of road accidents in urban areas.

Authors:  C Cabrera-Arnau; R Prieto Curiel; S R Bishop
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4.  Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study.

Authors:  Lauren Bell; Claire Garnett; Tianchen Qian; Olga Perski; Elizabeth Williamson; Henry Ww Potts
Journal:  J Med Internet Res       Date:  2020-12-11       Impact factor: 5.428

  4 in total

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