Literature DB >> 30676037

Not all alcohol use disorder criteria are equally severe: Toward severity grading of individual criteria in college drinkers.

Cassandra L Boness1, Sean P Lane2, Kenneth J Sher1.   

Abstract

Alcohol use disorder (AUD) diagnosis in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5; American Psychiatric Association, 2013) contains a severity gradient based on number of criteria endorsed, implicitly assuming criteria are interchangeable. However, criteria vary widely in endorsement rates, implying differences in the latent severity associated with a symptom (e.g., Lane, Steinley, & Sher, 2016) and demonstrating criteria are not interchangeable (Lane & Sher, 2015). We evaluated whether variation in the severity of criteria could be resolved by employing multiple indicators of each criterion varying in item-level severity. We assessed 909 undergraduate students aged 18 years or older with at least 12 drinking occasions in the past year. Participants self-administered questions on alcohol consumption and past year AUD symptoms via an online survey. For each of the 11 AUD criteria, we selected three indicators based on the difficulty values of the one-parameter logistic item response theory model ranging from low to high. We first tested a higher order AUD factor defined by 11 lower order criterion factors, χ2(551) = 2,959.35, p < .0001; root mean square error of approximation = 0.09. The 33 items were used to create severity scores: a criterion count (0-11), symptom count (0-33), and factor scores derived from a bifactor model. Though our new scores resulted in incremental validity over DSM-5 across a range of external validators, when the standardized regression estimates were compared, the new scores did not consistently outperform the DSM-5 suggesting this approach is viable for developing more sensitive diagnostic instruments but needs further refinement. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

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Year:  2019        PMID: 30676037      PMCID: PMC6494471          DOI: 10.1037/adb0000443

Source DB:  PubMed          Journal:  Psychol Addict Behav        ISSN: 0893-164X


  6 in total

1.  The Case for Cognitive Interviewing in Survey Item Validation: A Useful Approach for Improving the Measurement and Assessment of Substance Use Disorders.

Authors:  Cassandra L Boness; Kenneth J Sher
Journal:  J Stud Alcohol Drugs       Date:  2020-07       Impact factor: 2.582

2.  Psychiatric Comorbidity as a Function of Severity: DSM-5 Alcohol Use Disorder and HiTOP Classification of Mental Disorders.

Authors:  Ashley C Helle; Timothy J Trull; Ashley L Watts; Yoanna McDowell; Kenneth J Sher
Journal:  Alcohol Clin Exp Res       Date:  2020-03-03       Impact factor: 3.455

3.  The Etiologic, Theory-Based, Ontogenetic Hierarchical Framework of Alcohol Use Disorder: A Translational Systematic Review of Reviews.

Authors:  Cassandra L Boness; Ashley L Watts; Kimberly N Moeller; Kenneth J Sher
Journal:  Psychol Bull       Date:  2021-10       Impact factor: 17.737

4.  Changes in DSM criteria following a culturally-adapted computerized CBT for Spanish-speaking individuals with substance use disorders.

Authors:  Michelle A Silva; Yudilyn Jaramillo; Manuel Paris; Luis Añez-Nava; Tami L Frankforter; Brian D Kiluk
Journal:  J Subst Abuse Treat       Date:  2019-12-13

5.  Self-reported symptoms of cannabis use disorder: Psychometric testing and validation.

Authors:  Dylan K Richards; Frank J Schwebel; Melissa Sotelo; Matthew R Pearson
Journal:  Exp Clin Psychopharmacol       Date:  2021-04       Impact factor: 3.157

6.  Does crude measurement contribute to observed unidimensionality of psychological constructs? A demonstration with DSM-5 alcohol use disorder.

Authors:  Ashley L Watts; Cassandra L Boness; Jordan E Loeffelman; Douglas Steinley; Kenneth J Sher
Journal:  J Abnorm Psychol       Date:  2021-07
  6 in total

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