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Predictors of fatigue to responsible gambling messages and effects on gambling-related outcomes

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Author(s): McCullock, Seth P. ; Louderback, Eric R. ; LaPlante, Debi A.

Journal: International Gambling Studies

Year Published: 2024

Date Added: February 02, 2025

This study examined the predictors and effects of message fatigue towards responsible gambling (RG) messages. Users of Amazon Mechanical Turk who were at least 21 years old and from the United States were recruited to complete an online survey. The final sample consisted of 822 participants. Respondents who had more severe gambling problems or gambled more often were more likely to feel fatigued by RG messages. Respondents who worked in the gambling industry were less likely to report feeling fatigued by RG messages. Feeling fatigued by RG messages was linked to higher levels of reactance and inattention. In turn, higher levels of reactance and inattention were linked to greater gambling intentions. Finally, higher levels of reactance and intention were also linked to lower intentions to share RG messages with others.


Citation: McCullock, S. P., Louderback, E. R., & LaPlante, D. A. (2024). Examining factors that hinder the efficacy of responsible gambling messages: Modeling predictors and effects of responsible gambling message fatigue. International Gambling Studies. Advance online publication. https://doi.org/10.1080/14459795.2024.2409430

Article DOI: https://doi.org/10.1080/14459795.2024.2409430

Keywords: messaging ; psychological factors ; responsible gambling

Topics: Gambling Resources ; Information for Operators

Conceptual Framework Factors:   Exposure - Marketing and Messaging ; Environment - Responsible Gambling ; Psychological Factors ; Resources - Harm Reduction, Prevention, and Protection ; Gambling Environment ; Gambling Resources

Study Design: Observational: Cross-sectional

Geographic Coverage: United States of America

Study Population: Adults (21+ years) from the United States (n = 822)

Sampling Procedure: Convenience sampling was used to recruit a sample of Amazon Mechanical Turk workers to complete an online survey. CloudResearch, an online research and participant recruitment company, was used to vet the sample.

Study Funding:

This study was supported by a research contract between the Division on Addiction and DraftKings Inc., a sports betting and gaming company.

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