Online Survey of Gambling Participation and Problem Gambling in Chiba City: Problem Gambling Rates May be Strongly Influenced by the Administration Mode

Ino, Hidetoshi; Iyama, Ayako; Takahashi, Asumi

doi:10.1007/s10899-020-09958-x

Original Paper
Published: 08 July 2020

Online Survey of Gambling Participation and Problem Gambling in Chiba City: Problem Gambling Rates May be Strongly Influenced by the Administration Mode

Hidetoshi Ino¹,
Ayako Iyama¹^nAff2 &
Asumi Takahashi³

Journal of Gambling Studies volume 36, pages 957–978 (2020)Cite this article

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Abstract

Prevalence studies on gambling participation and problem gambling in Japan have been limited. To obtain data showing the current status of gambling in Japan, we conducted an online survey on gambling participation and problem gambling among residents in Chiba City. The online data collection was conducted through an Internet research firm. Questionnaires were consisted of personal demographics, past-year gambling participation and severity of gambling risks. The Problem Gambling Severity Index (PGSI) was used as a survey instrument. Males (51.5%) were significantly more likely than females (25.5%) to have gambled in the past year. Problem gamblers (PGSI score ≧ 8) were 7.2% among males and 1.2% among females. Problem gambling was strongly correlated with frequent gambling, preference for Pachinko/Slot and smoking habit. The gambling participation rates were roughly lower than those reported in many overseas jurisdictions, whereas the problem gambling rates were considerably higher than those reported in the same jurisdictions. According to the total consumption model, it would be reasonable to consider that gambling participation rates show a positive correlation with problem gambling rates. The high levels of problem gambling may be due to the administration mode using online sampling, by which answers admitting unapprovable behaviors like problem gambling tend to increase. This suggests that the previous studies using conventional face-to-face or telephone methods may have underestimated problem gambling rates.

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References

Abbott, M. (2006). Do EGMs and problem gambling go together like a horse and carriage? Gambling Research,18(1), 7–38.
Google Scholar
Abbott, M., Bellringer, M., Garrett, N., & Mundy-McPherson, S. (2014a). New Zealand 2012 national gambling study: Overview and gambling participation. Report Number 1. Final report. Retrieved from: https://www.health.govt.nz/system/files/documents/publications/national-gambling-study-report-1.pdf.
Abbott, M., Bellringer, M., Garrett, N., & Mundy-McPherson, S. (2014b). New Zealand 2012 national gambling study: Gambling harm and problem gambling. Report Number 2. Final report. Retrieved from: https://www.health.govt.nz/system/files/documents/publications/national-gambling-study-report-2.pdf.
Abbott, M., Stone, C. A., Billi, R., & Yeung, K. (2016). Gambling and problem gambling in Victoria, Australia: Changes over 5 years. Journal of Gambling Studies,32(1), 47–78.
PubMed Google Scholar
Acil Allen Consulting. (2014). Third social and economic impact study of gambling in Tasmania. Volume 2. 2013 Tasmanian gambling prevalence survey. Retrieved from: http://www.treasury.tas.gov.au/Documents/20150109SEISVolume2FINALREVISEDCHANGES.PDF.
B. C. Ministry of Finance. (2014). 2014 British Columbia Problem Gambling Prevalence Study. Final Report. R. A. Malatest & Associates Ltd. Retrieved from: https://www2.gov.bc.ca/assets/gov/sports-recreation-arts-and-culture/gambling/\gambling-in-bc/reports/rpt-rg-prevalence-study-2014.pdf
Barnes, G. M., Welte, J. W., Hoffman, J. H., & Tidwell, M.-C. O. (2009). Gambling, alcohol, and other substance use among youth in the United States. Journal of Studies on Alcohol and Drugs,70(1), 134–142.
PubMed PubMed Central Google Scholar
Barratt, M. J., Livingston, M., Matthews, S., & Clemens, S. L. (2014). Gaming machine density is correlated with rates of help-seeking for problem gambling: A local area analysis in Victoria, Australia. Journal of Gambling Issues,29, 1–21.
Google Scholar
Binde, P. (2013). Why people gamble: A model with five motivational dimensions. International Gambling Studies,13(1), 81–97.
Google Scholar
Breen, R. B., & Zimmerman, M. (2002). Rapid onset of pathological gambling in machine gamblers. Journal of Gambling Studies,18(1), 31–43.
PubMed Google Scholar
Buja, A., Lion, C., Scioni, M., Vian, P., Genetti, B., Vittadello, F., et al. (2017). SOGS-RA gambling and substance use in adolescents. Journal of Behavioral Addictions,6(3), 425–433.
PubMed PubMed Central Google Scholar
Castrén, S., Kontto, J., Alho, H., & Salonen, A. H. (2018). The relationship between gambling expenditure, socio-demographics, health-related correlates and gambling behavior—a cross-sectional population-based survey in Finland. Addiction,113(1), 91–106.
PubMed Google Scholar
Conolly, A., Fuller, E., Jones, H., Maplethorpe, N., Sondaal, A., & Wardle, H. (2017). Gambling behaviour in Great Britain in 2015. Evidence from England, Scottland and Wales. Retrieved from: http://www.gamblingcommission.gov.uk/PDF/survey-data/Gambling-behaviour-in-Great-Britain-2015.pdf.
Costes, J.-M., Eroukmanoff, V., Richard, J.-B., & Tovar, M.-L. (2015). Les jeux d’argent et de hazard en France en 2014. Les notes de l’Obseratoire des jeux,6, 1–9.
Google Scholar
Currie, S. R., Casey, D. M., & Hodgins, D. C. (2010). Improving the psychometric properties of the problem gambling severity index. Retrieved from: http://www.ccgr.ca/en/projects/resources/Improving-the-Psychometric-Properties-of-the-Problem-Gambling-Severity-Index.pdf.
Currie, S. R., Hodgins, D. C., & Casey, D. M. (2013). Validity of the problem gambling severity index interpretive categories. Journal of Gambling Studies,29(2), 311–327.
Google Scholar
Davidson, T., Rodgers, B., Taylor-Rodgers, E., Suomi, A., & Lucas, N. (2015). 2014 survey on gambling, health and wellbeing in the ACT. Final report. Retrieved from: https://www.gamblingandracing.act.gov.au/data/assets/pdf_file/0010/846901/2014-Survey-on-Gambling,-Health-and-Wellbeing-in-the-ACT-.pdf.
Dechant, K. (2013). Show me the money: Incorporating financial motives into the gambling motives questionnaire. Journal of Gambling Studies,30(4), 949–965.
Google Scholar
Department of Applied Social Sciences, the Hong Kong Polytechnic University. (2017). Report on the study of Hong Kong People’s participation in gambling activities in 2016. Retrieved from: https://www.hab.gov.hk/file_manager/en/documents/policyresponsibilities/others/gambling report_2016.pdf.
Department of Health and Department of Finance (2015). 2014 New Brunswick gambling study prevalence study. Retrieved from: https://dataverse.scholarsportal.info/dataset. xhtml?persistentId=https://doi.org/10.5683/sp/r87o4i.
Dickerson, M. (1993). Internal and external determinants of persistent gambling: Problems in generalising from one form of gambling to another. Journal of Gambling Studies,9(3), 225–245.
Google Scholar
Dixon, M. J., Harrigan, K. A., Sandhu, R., Collins, K., & Fugelsang, J. A. (2010). Losses disguised as wins in modern multi-line video slot machines. Addiction,105(10), 1819–1824.
PubMed Google Scholar
Dowling, N., Smith, D., & Thomas, T. (2005). Electronic gaming machines: Are they the ‘crack-cocaine’ of gambling? Addiction,100(1), 33–45.
PubMed Google Scholar
Dowling, N. A., Youssef, G. J., Jackson, A. C., Pennay, D. W., Francis, K. L., Pennay, A., et al. (2015). National estimates of Australian gambling prevalence: Findings from a dual-frame omnibus survey. Addiction,111(3), 420–435.
PubMed PubMed Central Google Scholar
Dunne, S., Flynn, C., & Sholdis, J. (2017). 2016 Northern Ireland gambling prevalence survey. Retrieved from: https://www.communities-ni.gov.uk/publications/2016-northern-ireland-gambling-prevalence-survey.
Elton-Marshall, T., Leatherdale, S. T., & Turner, N. E. (2016). An examination of internet and land-based gambling among adolescents in three Canadian provinces: Results from the youth gambling survey (YGS). BMC Public Health,16, 277.
PubMed PubMed Central Google Scholar
Ferris, J., & Wynne, H. (2001). The Canadian problem gambling index: Final report. Retrieved from: http://www.ccgr.ca/en/projects/resources/CPGI-Final-Report-English.pdf.
Francis, K. L., Dowling, N. A., Jackson, A. C., Christensen, D. R., & Wardle, H. (2015). Gambling motives: Application of the reasons for gambling questionnaire in an Australian population survey. Journal of Gambling Studies,31(3), 807–823.
CAS PubMed Google Scholar
Gainsbury, S. M., Russell, A., Blaszczynski, A., & Hing, N. (2015). Greater involvement and diversity of Internet gambling as a risk factor for problem gambling. European Journal of Public Health,25(4), 723–728.
PubMed PubMed Central Google Scholar
Gerbert, B., Bronstone, A., Pantilat, S., McPhee, S., Allerton, M., & Moe, J. (1999). When asked, patients tell: Disclosure of sensitive health-risk behaviors. Medical Care,37(1), 104–111.
CAS PubMed Google Scholar
Gill, T., Dal Grande, E., & Taylor, A. W. (2006). Factors associated with gamblers: A population-based cross-sectional study of South Australian adults. Journal of Gambling Studies,22(2), 143–164.
PubMed Google Scholar
Gosling, S. D., Vazire, S., Srivastava, S., & John, O. P. (2004). Should we trust Web-based studies? A comparative analysis of six preconceptions about Internet questionnaires. American Psychologist,59(2), 93–104.
PubMed Google Scholar
Griffiths, M. (1993). Fruit machine gambling: The importance of structural characteristics. Journal of Gambling Studies,9(2), 101–120.
Google Scholar
Griffiths, M., Wardle, H., Orford, J., Sproston, K., & Erens, B. (2010). Gambling, alcohol, cigarette smoking and health: Findings from the 2007 British Gambling Prevalence Survey. Addiction Research & Theory,18(2), 208–223.
Google Scholar
Hansen, M., & Rossow, I. (2008). Adolescent gambling and problem gambling: Does the total consumption model apply? Journal of Gambling Studies,24(2), 135–149.
PubMed Google Scholar
Harrigan, K., Brown, D., & MacLaren, V. (2015). Gamble while you gamble: Electronic games in Ontario charitable gaming centres. International Journal of Mental Health and Addiction,13(6), 740–750.
PubMed PubMed Central Google Scholar
Higuchi, S., & Matsushita, Y. (2017). “Kokunai no gyanburutou izon ni kansuru ekigakuchousa” [Epidemiological survey on gambling addiction in Japan] (in Japanese). Retrieved from: http://www.kurihama-med.jp/news/20171004_tyousa.pdf.
Holtgraves, T. (2009). Evaluating the problem gambling severity index. Journal of Gambling Studies,25(1), 105–120.
PubMed Google Scholar
Ino, H., Iyama, A., & Takahashi, A. (2018). Study of gambling participation and problem gambling in Chiba City. Report. Available at: http://www.city.chiba.jp/hokenfukushi/koreishogai/kokoronokenko/documents/2018gjittairepo.pdf.
Johansson, A., Grant, J. E., Kim, S. W., Odlaug, B. L., & Götestam, K. G. (2009). Risk factors for problematic gambling: A critical literature review. Journal of Gambling Studies,25(1), 67–92.
PubMed Google Scholar
Khazaal, Y., Chatton, A., Monney, G., Nallet, A., Khan, R., Zullino, D., et al. (2015). Internet consistency and measurement equivalence of the cannabis screening questions on the paper-and-pencil face-to-face ASSIST versus the online instrument. Abuse Treatment, Prevention, and Policy,10, 8.
Google Scholar
King, D. L., Gainsbury, S. M., Delfabbro, P. H., Hing, N., & Abarbanel, B. (2015). Distinguishing between gaming and gambling activities in addiction research. Journal of Behavioral Addictions,4(4), 215–220.
PubMed PubMed Central Google Scholar
Kreuter, F., Presser, S., & Tourangeau, R. (2008). Social desirability bias in CATI, IVR, and Web surveys. Public Opinion Quarterly,72(5), 847–865.
Google Scholar
Lau, M., & Kan, M. (2010). Prevalence and correrates of problem behaviors among adolescents in Hong Kong. Asia-Pacific Journal of Public Health,22(3), 354–364.
PubMed Google Scholar
Leino, T., Torsheim, T., Pallesen, S., Blaszczynski, A., Sagoe, D., & Molde, H. (2016). An empirical real-world study of losses disguised as wins in electronic gaming machines. International Gambling Studies,16(3), 470–480.
Google Scholar
Leisure Development Research Center. (2018). “Leisure Hakusho 2018” [The White Paper on Leisure, 2018] (in Japanese). Tokyo: Japan Productivity Center.
Google Scholar
Loo, J. M. Y., Osei, T. P. S., & Raylu, N. (2011). Psychometric evaluation of the Problem Gambling Severity Index-Chinese version (PGSI-C). Journal of Gambling Studies,27(3), 453–466.
PubMed Google Scholar
Lopez-Gonzalez, H., Estévez, A., & Griffiths, M. D. (2018). Spanish validation of the Problem Gambling Severity Index: A confirmatory factor analysis with sports bettors. Journal of Behavioral Addictions,7(3), 814–820.
PubMed PubMed Central Google Scholar
Lorains, F. K., Cowlishaw, S., & Thomas, S. A. (2011). Prevalence of comorbid disorders in problem and pathological gambling: Systematic review and meta-analysis of population surveys. Addiction,106(3), 490–498.
PubMed Google Scholar
Lutz, G. M., & Park, K. H. (2014). Gambling attitudes and behaviors: A 2013 survey of adult Iowans. Retrieved from: https://idph.iowa.gov/Portals/1/Files/IGTP/2013_adult_iowans_survey.pdf.
Markham, F., Young, M., & Doran, B. (2014). Gambling expenditure predicts harm: Evidence from a venue-level study. Addition,109(9), 1509–1516.
Google Scholar
Markham, F., Young, M., & Doran, B. (2016). The relationship between player losses and gambling-related harm: Evidence from nationally representative cross-sectional surveys in four countries. Addition,111(2), 320–330.
Google Scholar
Markham, F., Young, M., Doran, B., & Sugden, M. (2017). A meta-regression analysis of 41 Australian problem gambling prevalence estimates and their relationship to total spending on electronic gaming machines. BMC Public Health,17, 495.
PubMed PubMed Central Google Scholar
Mason, K., & Arnold, R. (2007). Problem gambling risk factors and associated behaviours and health status: Results from the 2002/03 New Zealand Health Survey. New Zealand Medical Journal,120(1257), U2604.
PubMed Google Scholar
Massatti, R., Starr, S., Frohnapfel-Hasson, S., & Martt, N. (2015). 2012 survey of at-risk and problem gambling prevalence among Ohioans. Retrieved from: http://www.org.ohio.gov/assets/2012%20Survey%20of%20At-Risk%20and%20Problem%20Gambling%20Prevalence%20 among%20Ohioans.pdf.
Mathieu, S., Barrault, S., Brunault, P., & Varescon, I. (2018). Gambling motives: do they explain cognitive distortions in male poker gamblers? Journal of Gambling Studies,34(1), 133–145.
PubMed Google Scholar
McReady, J., & Adlaf, E. (2006). Performance and enhancement of the Canadian Problem Gambling Index (CPGI): report and recommendations. Retrieved from: http://www.ccgr.ca/en/projects/resources/Performance-and-Enhancement-of-the-Canadian-Problem-Gambling-Index-CPGI-Report-and-Recommendations.pdf.
National Council on Problem Gambling (2015). Report of survey on participation in gambling activities among Singapore residents, 2014. Retrieved from: https://www.ncpg.org.sg/en/pdf/2014%20NCPG%20Gambling%20Participation%20Survey_FINAL.pdf.
Nower, L., Volberg, R. A., & Caler K. R. (2017). The prevalence of online and land-based gambling in New Jersey. Report to the New Jersey Division of Gaming Enforcement. New Brunswick, NJ. Retrieved from: https://socialwork.rutgers.edu/centers/center-gambling-studies/research-reports-and-questionnaires/prevalence-gambling-new-jersey.
Office of Regulatory Policy (2018). Queensland household gambling survey 2016-17. State of Queensland (Department of Justice and Attorney-General). Retrieved from: https://publications.qld.gov.au/dataset/liquor-and-gambling-research/resource/4267f3c2-950b-407e-b88f-d31e116cedcb.
Orford, J., Wardle, H., Griffiths, M., Sproston, K., & Erens, B. (2010). PGSI and DSM-IV in the 2007 British Gambling Prevalence Survey: Reliability, item response, factor structure and inter-scale agreement. International Gambling Studies,10(1), 31–44.
Google Scholar
Osaki, Y. (2013). “Wagakuni no seijin no inshukoudou ni kansuru zenkoku chousa 2013nen. 203nen, 2008nen zenkoku chousa tono hikaku. 201315050A0002.pdf” [2013 Japanese National Survey on the adult drinking behaviors: comparison with the data in 2003 and 2008]. In Y. Osaki, Research Report, 2013 (in Japanese). Retrieved from: http://mhlw-grants.niph.go.jp/niph/search/NIDD00.do? resrchNum = 201315050A.
Peters, E. N., Nordeck, C., Zanetti, G., O’Grady, K. E., Serpelloni, G., Rimondo, C., et al. (2015). Relationship of gambling with tobacco, alcohol, and illicit drug use among adolescents in the USA: Review of the literature 2000–2014. American Journal on Addictions,24(3), 206–216.
PubMed Google Scholar
Raisamo, S. U., Mäkelä, P., Salonen, A. H., & Lintonen, T. P. (2015). The extent and distribution of gambling harm in Finland as assessed by the Problem Gambling Severity Index. European Journal of Public Health,25(4), 716–722.
PubMed Google Scholar
Rose, G., & Day, S. (1990). The population mean predicts the number of deviant individuals. BMJ,301, 1031–1034.
CAS PubMed PubMed Central Google Scholar
Rossow, I. (2019). The total consumption model applied to gambling: Empirical validity and implications for gambling policy. Nordic Studies on Alcohol and Drugs,36(2), 66–76.
Google Scholar
Salonen, A. H., Kontto, J., Perhoniemi, R., Alho, H., & Castrén, S. (2018). Gambling expenditure by game type among weekly gamblers in Finland. BMC Public Health,18, 697.
PubMed PubMed Central Google Scholar
Schellenberg, B. J. I., McGrath, D. S., & Dechant, K. (2016). The Gambling Motives Questionnaire financial: Factor structure, measurement invariance, and relationships with gambling behavior. International Gambling Studies,16(1), 1–16.
Google Scholar
Sproston, K., Hing, N., & Palankay, C. (2012). Prevalence of gambling and problem gambling in New South Wales. Retrieved from: https://www.responsiblegambling.nsw.gov.au/data/assets/pdf_file/0018/138123/Prevalence-of-gambling-and-problem-gambling-in-NSW.pdf.
Stevens, M., Thoss, M., & Barnes, T. (2017). 2015 Northern Territory gambling prevalence and wellbeing survey report. Retrieved from: https://justice.nt.gov.au/data/assets/pdf_file/0019/424135/nt-2015-gambling-prevalence-and-wellbeing-survey.pdf.
Stewart, S. H., & Zack, M. (2008). Development and psychometric evaluation of a three-dimensional gambling motives questionnaire. Addiction,103(7), 1110–1117.
PubMed Google Scholar
Sundqvist, K., Rosendahl, L., & Wennberg, P. (2015). The association between at-risk gambling and binge drinking in the general Swedish population. Addicitve Behaviors Report,2, 49–54.
Google Scholar
The Gambling Commission (2017). Participation in gambling and rates of problem gambling – Wales 2016. Statistical report. Retrieved from: http://www.gamblingcommission.gov.uk/PDF/survey-data/Participation-in-gambling-and-rates-of-problem-gambling-%E2%80%93-Wales-2016.pdf.
Thomas, A. C., Allen, F. C., & James Phillips, J. (2009). Electronic gaming machine gambling: Measuring motivation. Journal of Gambling Studies,25(3), 343–355.
PubMed Google Scholar
Tourangeau, R., & Smith, T. W. (1996). Asking sensitive questions: The impact of data collection mode, question format, and question context. Public Opinion Quarterly,60, 275–304.
Google Scholar
Turner, C. F., Ku, L., Rogers, S. M., Lindberg, L. D., Pleck, J. H., & Sonenstein, F. L. (1998). Adolescent sexual behavior, drug use, and violence: Increased reporting with computer survey technology. Science,280(5365), 867–873.
CAS PubMed Google Scholar
van der Heijden, P. G. M., van Gils, G., Bouts, J., & Hox, J. J. (2000). A comparison of randomized response, computer-assisted self-interview, and face-to-face direct questioning. Sociological Methods & Research,28(4), 505–537.
Google Scholar
Victorian Responsible Gambling Foundation. (2015). Study of gambling and health in Victoria. Findings from the Victorian prevalence study 2014. Retrieved from: https://responsiblegambling.vic.gov.au/resources/publications/study-of-gambling-and-health-in-victoria-findings-from-the-victorian-prevalence-study-2014-72/.
Volberg, R. A., Williams, R. J., Stanek, E. J., Houpt, A., Zorn, M., & Rodriguez-Monguio, R. (2017). Gambling and problem gambling in Massachusetts: results of a baseline population survey. Amherst, MA: School of Public Health and Health Sciences, University of Massachusetts Amherst. Retrieved from: https://www.umass.edu/seigma/sites/default/files/SEIGMA%20 Baseline%20Survey%20Report_Final.pdf.
Wardle, H., Moody, A., Spence, S., Orford, J., Volberg, R., Jotangia, D., Griffiths, M., Hussey, D., & Dobbie, F. (2011). British gambling prevalence survey 2010. Retrieved from: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/243515/9780108509636.pdf.
Weisband, S., & Kiesler, S. (1996). Self disclosure on computer forms: Meta-analysis and implications. In R. Bilger, S. Guest, & M. J. Tauber (Ed.), CHI 96 - Electronic proceedings. Retrieved from: http://prior.sigchi.org/chi96/proceedings/papers/Weisband/sw_txt.htm.
Welte, J. W., Barnes, G. M., Tidwell, M.-C. O., & Wieczorek, W. F. (2017). Predictors of problem gambling in the US. Journal of Gambling Studies,33(2), 327–342.
PubMed Google Scholar
Welte, J. W., Barnes, G. M., Wieczorek, W. F., Marie-Cecile, W. F., Tidwell, M.-C. O., & Parker, J. C. (2004). Risk factors for pathological gambling. Addictive Behaviors,29(2), 323–335.
PubMed Google Scholar
Williams, R. J., & Volberg, R. A. (2013). Gambling and problem gambling in Ontario. Retrieved from: https://www.uleth.ca/dspace/bitstream/handle/10133/3378/2013-GPG%20ONT-OPGRC.pdf; sequence = 3.
Williams, R. J., Volberg, R. A., & Stevens, R. M. G. (2012). The population prevalence of problem gambling: Methodological influences, standardized rates, jurisdictional differences, and worldwide trends. Report prepared for the Ontario Problem Gambling Research Centre and the Ontario Ministry of Health and Long Term Care. Retrieved from: https://www.uleth.ca/dspace/handle/10133/3068.
Wood, R. T., & Williams, R. J. (2011). A comparative profile of the Internet gambler: Demographic characteristics, game-play patterns, and problem gambling status. New Media & Society,13(7), 1123–1141.
Google Scholar
Woods, A., Sproston, K., Brook, K., Delfabbro, P., & O’Neil, M. (2018). Gambling prevalence in South Australia (2018), Final report. Retrieved from: https://problemgambling.sa.gov.au/data/assets/pdf_file/0017/80126/2018-SAGambling-Prevalence-Survey-Final-Report-Updated-07.02.19.pdf.
Wynne, H. J. (2004). Introducing the Canadian problem gambling index. Retrieved from: https://www.researchgate.net/publication/228460062_Introducing_the_Canadian_problem_gambling_index.

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This study was supported by the government of Chiba City.

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Ayako Iyama
Present address: Counselling Center for the Disabled, Chiba, Chiba, 260-0844, Japan

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Chiba City Mental Health Center, 2-1-16 Takahama, Mihama-ku, Chiba, Chiba, 261-0003, Japan
Hidetoshi Ino & Ayako Iyama
Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, 305-8575, Japan
Asumi Takahashi

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Hidetoshi Ino
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Ayako Iyama
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Asumi Takahashi
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Ino, H., Iyama, A. & Takahashi, A. Online Survey of Gambling Participation and Problem Gambling in Chiba City: Problem Gambling Rates May be Strongly Influenced by the Administration Mode. J Gambl Stud 36, 957–978 (2020). https://doi.org/10.1007/s10899-020-09958-x

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Published: 08 July 2020
Issue Date: September 2020
DOI: https://doi.org/10.1007/s10899-020-09958-x

Keywords

Pathological gambling
Pachinko
EGM
Total consumption model
Internet survey