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Problem and non-problem gamblers: a cross-sectional clustering study by gambling characteristics.

Morgane Guillou Landreat1,2,3, Isabelle Chereau Boudet4, Bastien Perrot3

  • 1EA 7479 SPURBO, Universite de Bretagne Occidentale, Brest, France.

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|February 21, 2020
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Summary

This study identified three gambler profiles based on gambling characteristics, aiding in early detection and prevention of problem gambling. Understanding these profiles can inform targeted interventions and harm reduction strategies.

Keywords:
addictionaddictive behaviorsgamblersgambling disorderlong term course

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Area of Science:

  • Behavioral Science
  • Clinical Psychology
  • Public Health

Background:

  • Problem gambling is influenced by various gambling characteristics.
  • Identifying distinct gambler typologies is crucial for understanding risky behaviors.
  • A large representative sample of gamblers is needed to investigate these profiles.

Purpose of the Study:

  • To identify a typology of gamblers based on gambling characteristics.
  • To frame risky gambling behavior.
  • To investigate clinical factors associated with different gambler profiles.

Main Methods:

  • Cross-sectional analysis of baseline data from the French JEU cohort study.
  • Inclusion of 628 gamblers: non-problem gamblers (NPG), problem gamblers without treatment (PGWT), and problem gamblers seeking treatment (PGST).
  • Six clustering models were tested, with a three-cluster solution selected for clinical interpretation.

Main Results:

  • Three distinct gambler clusters were identified: 'Early Onset and Short Course' (47.5%), 'Early Onset and Long Course' (35%), and 'Late Onset and Short Course' (17.5%).
  • Significant differences in gambling characteristics were observed between the three clusters.
  • The chosen three-cluster model had a low classification error rate of 7.92%.

Conclusions:

  • Gambler typologies based on easily identifiable gambling characteristics can aid clinical identification by psychiatrists and primary care physicians.
  • Simple screening tools focusing on these characteristics can facilitate early prevention and identification of problem gambling.
  • Policy measures targeting specific gambling characteristics may effectively reduce the risk and minimize harm associated with gambling.