Comorbid Axis I-disorders among subjects with pathological, problem, or at-risk gambling recruited from the general population in Germany: Results of the PAGE study

Anja Bischof*, Christian Meyer, Gallus Bischof, Nadin Kastirke, Ulrich John, Hans Juergen Rumpf

*Corresponding author for this work
57 Citations (Scopus)

Abstract

The aim of the present study was to analyze comorbid Axis I-disorders in a sample of individuals with at-risk, problem, and pathological gambling. A number of 164 adult gamblers derived from a random sample of 15,023 individuals were compared with a general population sample. The lifetime prevalence of any psychiatric disorder was 93.6% among pathological (five-10 criteria), 83.5% among problem (three or four criteria), and 81.0% among at-risk gamblers (one or two criteria). Substance use disorders were the most common comorbid disorders in gamblers. Logistic regression analyses revealed elevated odds ratios for having a comorbid disorder in at-risk (Conditional Odds Ratio (COR) 3.5, Confidence Interval (CI) 2.6-4.6), problem (COR 4.9, CI 3.3-7.3), and pathological gamblers (COR 4.6, CI 3.0-6.9) compared to the general population. No significant differences were found between at-risk and problem gamblers or problem and pathological gamblers. Compared to at-risk gamblers, pathological gamblers showed elevated rates of comorbid substance use disorders. The data suggest a linear association between gambling disorder severity and comorbid Axis I-disorders. In conclusion, comorbid disorders are very prevalent in individuals with gambling problems. Even at-risk gamblers with one or two DSM-IV criteria show high rates of Axis I-disorders. Therefore, this group should be included in further studies on problematic gambling.

Original languageEnglish
JournalPsychiatry Research
Volume210
Issue number3
Pages (from-to)1065-1070
Number of pages6
ISSN0165-1781
DOIs
Publication statusPublished - 30.12.2013

Funding

The Pathological Gambling and Epidemiology (PAGE) study is a project of the German Research Collaboration Early Intervention in health risk behaviors (EARLINT) and was funded by the Federal States of Germany (Grant number II6-21v06.03-01-09/002 ).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Research Areas and Centers

  • Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)

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