Literature DB >> 17386067

Investigating gender differences in alcohol problems: a latent trait modeling approach.

Penny E Nichol1, Robert F Krueger, William G Iacono.   

Abstract

BACKGROUND: Inconsistent results have been found in research investigating gender differences in alcohol problems. Previous studies of gender differences used a wide range of methodological techniques, as well as limited assortments of alcohol problems.
METHODS: Parents (1,348 men and 1,402 women) of twins enrolled in the Minnesota Twin Family Study answered questions about a wide range of alcohol problems. A latent trait modeling technique was used to evaluate gender differences in the probability of endorsement at the problem level and for the overall 105-problem scale.
RESULTS: Of the 34 problems that showed significant gender differences, 29 were more likely to be endorsed by men than women with equivalent overall alcohol problem levels. These male-oriented symptoms included measures of heavy drinking, duration of drinking, tolerance, and acting out behaviors. Nineteen symptoms were denoted for removal to create a scale that favored neither gender in assessment.
CONCLUSIONS: Significant gender differences were found in approximately one-third of the symptoms assessed and in the overall scale. Further examination of the nature of gender differences in alcohol problem symptoms should be undertaken to investigate whether a gender-neutral scale should be created or if men and women should be assessed with separate criteria for alcohol dependence and abuse.

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Mesh:

Year:  2007        PMID: 17386067     DOI: 10.1111/j.1530-0277.2007.00375.x

Source DB:  PubMed          Journal:  Alcohol Clin Exp Res        ISSN: 0145-6008            Impact factor:   3.455


  8 in total

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Authors:  Jaime Derringer; Robert F Krueger; William G Iacono; Matt McGue
Journal:  Drug Alcohol Depend       Date:  2010-04-24       Impact factor: 4.492

2.  Functioning of alcohol use disorder criteria among men and women with arrests for driving under the influence of alcohol.

Authors:  Vivia V McCutcheon; Arpana Agrawal; Andrew C Heath; Howard J Edenberg; Victor M Hesselbrock; Marc A Schuckit; John R Kramer; Kathleen K Bucholz
Journal:  Alcohol Clin Exp Res       Date:  2011-06-01       Impact factor: 3.455

3.  An item-response theory analysis of DSM-IV alcohol-use disorder criteria and "binge" drinking in undergraduates.

Authors:  Cheryl L Beseler; Laura A Taylor; Robert F Leeman
Journal:  J Stud Alcohol Drugs       Date:  2010-05       Impact factor: 2.582

4.  Performance of the Self-Report of the Effects of Alcohol Questionnaire Across Sexes and Generations.

Authors:  Marc A Schuckit; Tom L Smith; Brinda K Rana; Lee Ann Mendoza; Dennis Clarke; Mari Kawamura
Journal:  Alcohol Clin Exp Res       Date:  2019-05-02       Impact factor: 3.455

5.  Sex differences in how a low sensitivity to alcohol relates to later heavy drinking.

Authors:  Marc A Schuckit; Tom L Smith; Ryan S Trim; Samuel Kuperman; John Kramer; Victor Hesselbrock; Kathleen K Bucholz; John I Nurnberger; Michie Hesselbrock; Gretchen Saunders
Journal:  Drug Alcohol Rev       Date:  2012-06-18

6.  Intimate partner violence and patterns of alcohol abuse and dependence criteria among women: a latent class analysis.

Authors:  Lareina N La Flair; Catherine P Bradshaw; Carla L Storr; Kerry M Green; Anika A H Alvanzo; Rosa M Crum
Journal:  J Stud Alcohol Drugs       Date:  2012-05       Impact factor: 2.582

7.  The aggregate effect of dopamine genes on dependence symptoms among cocaine users: cross-validation of a candidate system scoring approach.

Authors:  Jaime Derringer; Robert F Krueger; Danielle M Dick; Fazil Aliev; Richard A Grucza; Scott Saccone; Arpana Agrawal; Howard J Edenberg; Alison M Goate; Victor M Hesselbrock; John R Kramer; Peng Lin; Rosalind J Neuman; John I Nurnberger; John P Rice; Jay A Tischfield; Laura J Bierut
Journal:  Behav Genet       Date:  2012-02-23       Impact factor: 2.805

8.  Modeling alcohol use disorder severity: an integrative structural equation modeling approach.

Authors:  Nathasha R Moallem; Kelly E Courtney; Guadalupe A Bacio; Lara A Ray
Journal:  Front Psychiatry       Date:  2013-07-29       Impact factor: 4.157

  8 in total

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