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[Testing a Model to Predict Problem Gambling in Speculative Game Users].

Hyangjin Park^1,2, Suk Sun Kim³

¹Department of Nursing, Chodang University, Muan, Korea.

Journal of Korean Academy of Nursing

|May 9, 2018

Summary

This summary is machine-generated.

This study predicts problem gambling in speculative game users by identifying key risk factors. Interventions should target negative emotions, impulsivity, gambler's fallacy, and enhance gambling self-efficacy.

Keywords:

Gambling Pathological gambling Self-efficacy Structural models

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Area of Science:

Psychology
Behavioral Science
Gambling Studies

Background:

Problem gambling is a significant public health concern.
Understanding predictive factors is crucial for effective prevention and intervention.

Purpose of the Study:

To develop and test a predictive model for problem gambling in speculative game users.
To adapt Blaszczynski and Nower's pathways model for this specific population.

Main Methods:

262 speculative game users in Korea completed questionnaires.
Measures included problem gambling, emotions, impulsivity, gambler's fallacy, and self-efficacy.
Structural Equation Modeling (SEM) analyzed direct and indirect effects.

Main Results:

The model showed a good fit to the data.
Negative emotions, motor impulsivity, gambler's fallacy, and gambling self-efficacy directly predicted problem gambling.
These factors explained 75.2% of problem gambling variance.

Conclusions:

Intervention programs should aim to reduce negative emotions and impulsivity.
Enhancing gambling self-efficacy and addressing gambler's fallacy are key for prevention.
Findings support targeted interventions for speculative game users.