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Type of Gambling and Availability as Risk Factors for Problem Gambling: A Tobit Regression Analysis by Age and Gender

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  • John W. Welte
  • Grace M. Barnes
  • William F. Wieczorek
  • Marie-Cecile O. Tidwell
  • Joseph H. Hoffman

Abstract

A telephone survey of 2631 US adults was analysed to determine how particular types of gambling and gambling availability were related to problem gambling by age and gender. Casinos produced the most problems per daily participation. Casinos and lottery gambling produced the most society-wide problems. Lotteries, casinos, gambling machines and bingo produced the most overall problems in women; for men it was casinos and cards. Casinos, lotteries and gambling machines produced the most overall problems for people over age 29; for people under 30 it was cards and casinos. Residential proximity to casinos predicted gambling problems in males 30 years or older; for those under 30 friends' approval of gambling predicted gambling problems.

Suggested Citation

  • John W. Welte & Grace M. Barnes & William F. Wieczorek & Marie-Cecile O. Tidwell & Joseph H. Hoffman, 2007. "Type of Gambling and Availability as Risk Factors for Problem Gambling: A Tobit Regression Analysis by Age and Gender," International Gambling Studies, Taylor & Francis Journals, vol. 7(2), pages 183-198, August.
    • Handle: RePEc:taf:intgms:v:7:y:2007:i:2:p:183-198
    DOI: 10.1080/14459790701387543
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    Cited by:

    1. Kyonghwa Kang & Jong Sun Ok & Hyeongsu Kim & Kun-Sei Lee, 2019. "The Gambling Factors Related with the Level of Adolescent Problem Gambler," IJERPH, MDPI, vol. 16(12), pages 1-16, June.
    2. Jaeho Shin & Changhee Kim & Hongsuk Yang, 2019. "Does Reduction of Material and Energy Consumption Affect to Innovation Efficiency? The Case of Manufacturing Industry in South Korea," Energies, MDPI, vol. 12(6), pages 1-14, March.
    3. Philomena M. Bacon & Anna Conte & Peter G. Moffatt, 2024. "Gender and gambling preference," Applied Economics, Taylor & Francis Journals, vol. 56(4), pages 426-439, January.
    4. Bernadeta Lelonek-Kuleta & Rafał P. Bartczuk & Michał Wiechetek & Joanna Chwaszcz & Iwona Niewiadomska, 2020. "The Prevalence of E-Gambling and of Problem E-Gambling in Poland," IJERPH, MDPI, vol. 17(2), pages 1-15, January.
    5. Jennifer M. Boldero & Richard C. Bell & Susan M. Moore, 2010. "Do gambling activity patterns predict gambling problems? A latent class analysis of gambling forms among Australian youth," International Gambling Studies, Taylor & Francis Journals, vol. 10(2), pages 151-163, August.
    6. Neda Faregh & Craig Leth-Steensen, 2011. "The gambling profiles of Canadians young and old: game preferences and play frequencies," International Gambling Studies, Taylor & Francis Journals, vol. 11(1), pages 23-41, April.

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