Literature DB >> 21477050

A quick and simple screening method for pathological and problem gamblers in addiction programs and practices.

Rachel A Volberg1, Ingrid M Munck, Nancy M Petry.   

Abstract

Despite high rates of comorbidity among pathological gambling, substance use disorders, and other psychiatric conditions, health professionals rarely screen their clients for gambling problems. We report on the performance of the NODS-CLiP, an existing brief, three-item screen for problem and pathological gambling, and an alternative four-item screen that demonstrates improved sensitivity, good positive and negative predictive power, and invariance across key demographic groups . Given the high rates of comorbidity, routine and accurate identification of gambling-related problems among individuals seeking help for substance abuse and related disorders is important. The original and the alternative brief screens are likely to be useful in a range of clinical settings. © American Academy of Addiction Psychiatry.

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Year:  2011        PMID: 21477050      PMCID: PMC3076109          DOI: 10.1111/j.1521-0391.2011.00118.x

Source DB:  PubMed          Journal:  Am J Addict        ISSN: 1055-0496


  22 in total

1.  Using the Rasch model to evaluate the South Oaks Gambling Screen for use with nonpathological gamblers.

Authors:  David R Strong; Robert B Breen; Henry R Lesieur; C W Lejuez
Journal:  Addict Behav       Date:  2003-10       Impact factor: 3.913

2.  A randomized trial of brief interventions for problem and pathological gamblers.

Authors:  Nancy M Petry; Jeremiah Weinstock; David M Ledgerwood; Benjamin Morasco
Journal:  J Consult Clin Psychol       Date:  2008-04

3.  The Lie/Bet Questionnaire for screening pathological gamblers.

Authors:  E E Johnson; R Hamer; R M Nora; B Tan; N Eisenstein; C Engelhart
Journal:  Psychol Rep       Date:  1997-02

4.  The South Oaks Gambling Screen (SOGS): a new instrument for the identification of pathological gamblers.

Authors:  H R Lesieur; S B Blume
Journal:  Am J Psychiatry       Date:  1987-09       Impact factor: 18.112

5.  Comorbidity of DSM-IV pathological gambling and other psychiatric disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions.

Authors:  Nancy M Petry; Frederick S Stinson; Bridget F Grant
Journal:  J Clin Psychiatry       Date:  2005-05       Impact factor: 4.384

6.  A hierarchy of gambling disorders in the community.

Authors:  Marianna Toce-Gerstein; Dean R Gerstein; Rachel A Volberg
Journal:  Addiction       Date:  2003-12       Impact factor: 6.526

7.  The relationship between anxiety, smoking, and gambling in electronic gaming machine players.

Authors:  Simone Rodda; Stephen L Brown; James G Phillips
Journal:  J Gambl Stud       Date:  2004

8.  Using a Rasch model to examine the utility of the South Oaks Gambling Screen across clinical and community samples.

Authors:  David R Strong; Henry R Lesieur; Robert B Breen; Randy Stinchfield; C W Lejuez
Journal:  Addict Behav       Date:  2004-05       Impact factor: 3.913

9.  The Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV (AUDADIS-IV): reliability of alcohol consumption, tobacco use, family history of depression and psychiatric diagnostic modules in a general population sample.

Authors:  Bridget F Grant; Deborah A Dawson; Frederick S Stinson; Patricia S Chou; Ward Kay; Roger Pickering
Journal:  Drug Alcohol Depend       Date:  2003-07-20       Impact factor: 4.492

10.  Psychometric evaluation of the National Opinion Research Center DSM-IV Screen for Gambling Problems (NODS).

Authors:  Emerson M Wickwire; Randy S Burke; Seth A Brown; Jefferson D Parker; Ryan K May
Journal:  Am J Addict       Date:  2008 Sep-Oct
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  13 in total

1.  Cognitive Distortions in Gamblers and Non-gamblers of a Representative Spanish Sample.

Authors:  Marta Labrador; Francisco J Labrador; María Crespo; Enrique Echeburúa; Elisardo Becoña
Journal:  J Gambl Stud       Date:  2020-03

2.  Prevalence and covariates of problematic gambling among a US military cohort.

Authors:  M Shayne Gallaway; David S Fink; Laura Sampson; Gregory H Cohen; Marijo Tamburrino; Israel Liberzon; Joseph Calabrese; Sandro Galea
Journal:  Addict Behav       Date:  2019-03-21       Impact factor: 3.913

Review 3.  An overview of and rationale for changes proposed for pathological gambling in DSM-5.

Authors:  Nancy M Petry; Carlos Blanco; Marc Auriacombe; Guilherme Borges; Kathleen Bucholz; Thomas J Crowley; Bridget F Grant; Deborah S Hasin; Charles O'Brien
Journal:  J Gambl Stud       Date:  2014-06

4.  An Examination of a Proposed DSM-IV Pathological Gambling Hierarchy in a Treatment Seeking Population: Similarities with Substance Dependence and Evidence for Three Classification Systems.

Authors:  Darren R Christensen; Alun C Jackson; Nicki A Dowling; Rachel A Volberg; Shane A Thomas
Journal:  J Gambl Stud       Date:  2015-09

5.  Test Performance Variation Between Settings and Populations.

Authors:  Blase Gambino
Journal:  J Gambl Stud       Date:  2018-12

6.  Barriers and Facilitators of Responding to Problem Gambling: Perspectives from Australian Mental Health Services.

Authors:  S N Rodda; V Manning; N A Dowling; S J Lee; D I Lubman
Journal:  J Gambl Stud       Date:  2018-03

Review 7.  National gambling experiences in the United States: will history repeat itself?

Authors:  Nancy M Petry; Carlos Blanco
Journal:  Addiction       Date:  2012-10-15       Impact factor: 6.526

8.  Brief Intervention Within Primary Care for At-Risk Gambling: A Pilot Study.

Authors:  Christina Nehlin; Fred Nyberg; Kari Jess
Journal:  J Gambl Stud       Date:  2016-12

9.  Harmonizing Screening for Gambling Problems in Epidemiological Surveys - Development of the Rapid Screener for Problem Gambling (RSPG).

Authors:  Gaëlle Challet-Bouju; Bastien Perrot; Lucia Romo; Marc Valleur; David Magalon; Mélina Fatséas; Isabelle Chéreau-Boudet; Amandine Luquiens; Marie Grall-Bronnec; Jean-Benoit Hardouin
Journal:  J Behav Addict       Date:  2016-06-27       Impact factor: 6.756

10.  Associations between Problematic Gambling, Gaming, and Internet Use: A Cross-Sectional Population Survey.

Authors:  J Karlsson; N Broman; A Håkansson
Journal:  J Addict       Date:  2019-09-24
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