Literature DB >> 35156532

A New Perspective on "Drinking" Self: A Network Approach to Characterizing Drinking-Related Changes in Personality.

Polly F Ingram1, Peter R Finn1.   

Abstract

BACKGROUND: Previous research suggests that self-knowledge, particularly perceptions of oneself as a "drinker," may influence the development and progression of alcohol use and related problems, such as binge drinking. While existing studies have provided empirical evidence for the importance of assessing drinking self-perception within the five-factor model of personality framework, further examination with novel analytic methods, such as network analyses, could improve understanding of the drinker self-concept.
Methods: Five factor traits of openness to experience, conscientiousness, extraversion, agreeableness, and emotional stability were assessed among a large sample of young adults (n = 423) across "general" and "drinking" contexts. Features of the personality networks were investigated, including topology, network centrality, stability of the network across "general" and "drinking" assessments, as well as differences in the network across the two assessments.
Results: Individual personality items were more related to other items within the same trait than to other traits. There was no most central item in the networks, but item strength was uncorrelated to mean-level of the item. The network structure was stable across both assessments, although the overall strength of item relationships significantly increased in the drinking personality network. Conclusions: Examining drinking personality using a network analytic framework provided novel insights into drinker self-concept and the role drinking contexts might play in self-perception of personality in those contexts. Supplemental data for this article is available online at https://doi.org/10.1080/10826084.2022.2034874 .

Entities:  

Keywords:  Drinking personality; drinking self-concept; five factor model; network analysis

Mesh:

Year:  2022        PMID: 35156532      PMCID: PMC9121737          DOI: 10.1080/10826084.2022.2034874

Source DB:  PubMed          Journal:  Subst Use Misuse        ISSN: 1082-6084            Impact factor:   2.362


  28 in total

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2.  Drunk personality: reports from drinkers and knowledgeable informants.

Authors:  Rachel P Winograd; Douglas L Steinley; Kenneth J Sher
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3.  The drunken self: the five-factor model as an organizational framework for characterizing perceptions of one's own drunkenness.

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4.  Expected Problem Drinker Possible Self: Predictor of Alcohol Problems and Tobacco Use in Adolescents.

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Review 5.  A review of implicit and explicit substance self-concept as a predictor of alcohol and tobacco use and misuse.

Authors:  Kristen P Lindgren; Clayton Neighbors; Melissa L Gasser; Jason J Ramirez; Dario Cvencek
Journal:  Am J Drug Alcohol Abuse       Date:  2016-10-07       Impact factor: 3.829

6.  Regularized estimation of large-scale gene association networks using graphical Gaussian models.

Authors:  Nicole Krämer; Juliane Schäfer; Anne-Laure Boulesteix
Journal:  BMC Bioinformatics       Date:  2009-11-24       Impact factor: 3.169

7.  Self-concept disturbances: cognitive vulnerability for early drinking and early drunkenness in adolescents at high risk for alcohol problems.

Authors:  Colleen Corte; Robert A Zucker
Journal:  Addict Behav       Date:  2008-06-08       Impact factor: 3.913

8.  I think I can't: drink refusal self-efficacy as a mediator of the relationship between self-reported drinking identity and alcohol use.

Authors:  Dawn W Foster; Nelson Yeung; Clayton Neighbors
Journal:  Addict Behav       Date:  2013-10-09       Impact factor: 3.913

9.  Relationships between early alcohol experiences, drinker self-schema, and drinking and smoking in college students.

Authors:  Chia-Kuei Lee; Colleen Corte; Karen F Stein
Journal:  Subst Abus       Date:  2018-05-15       Impact factor: 3.716

10.  Estimating psychological networks and their accuracy: A tutorial paper.

Authors:  Sacha Epskamp; Denny Borsboom; Eiko I Fried
Journal:  Behav Res Methods       Date:  2018-02
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