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Boş Zaman İnternet Kullanımı ve Çevrimiçi Kumar Bağımlılığı: Kumar Oynayan Bireylerin İncelenmesi

Year 2025, Volume: 9 Issue: 1, 16 - 28, 29.06.2025

Abstract

Bu araştırmanın amacı, bireylerin demografik özelliklerine göre boş zaman aktivitelerinde internet kumarın etkisini ve internet kumar bağımlılığı düzeylerini incelemektir. Bu çalışmada sosyal bilimlerde yaygın olarak kullanılan betimsel tarama modeli tercih edilmiştir. Araştırmanın çalışma grubu 222 erkek ve 134 kadın olmak üzere toplam 356 katılımcı yer almıştır. Katılımcılar, üniversite öğrencileri, internet platformlarında kumar oynayan bireyler ve sosyal medya grupları aracılığıyla ulaşılan bireylerden oluşmuştur. Çalışmada veri toplama aracı olarak demografik bilgi formu, "Boş Zaman İnternet Kullanımı" ölçeği ve "İnternet Kumar Bağımlılığı" ölçeği kullanılmıştır. Verilerin istatistiksel sunumunda normallik analizleri ve betimsel istatistiksel analizler, bağımsız örneklem t-testi, tek yönlü varyans analizi (ANOVA) ve Pearson korelasyon testi yapılmıştır. Elde edilen bulgular doğrultusunda, kumar oynayan bireylerin Boş zaman internet kullanımı ve internet kumar bağımlılıklarına bağlı olarak cinsiyet, eğitim düzeyi, maddi durum, serbest zaman süresi ve şans oyunu oynama sebepleri değişkenlerinde istatistiksel olarak anlamlı farklılıklar bulunmuştur. İnternet kumar bağımlılığı ile boş zaman internet kullanımı ölçekleri arasında istatistiksel olarak anlamlı bir ilişki bulunamamıştır. Araştırma sonuçları, internette oynanan kumarın bireylerin boş zaman aktiviteleri üzerindeki etkisinin demografik özelliklere göre farklılık gösterdiğini ve bu durumun kumar bağımlılığının bireylerin yaşam biçimlerini anlamada önemli bir faktör olduğunu ortaya koymuştur.

Ethical Statement

Manisa Celal Bayar Üniversitesi Sosyal ve Beşeri Bilimler Bilimsel Araştırma ve Yayın Etik Kurulu'nun 04.03.2024 tarihinde gerçekleştirilen 2024/03 sayılı toplantısında değerlendirilmiş ve etik yönden uygun bulunarak oy birliğiyle kabul edilmiştir.

References

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  • Akhlaq, A., & Ahmed, E. (2016). Gender differences among online shopping factors in Pakistan. Organizations and Markets in Emerging Economies, 7(1), 74–86. https://doi.org/10.15388/omee.2016.7.1.14216
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  • Çakal, K., & Subaşı, B. (2023). Evaluation of the gambling behavior of individuals with gambling addiction within the framework of socio-demographic characteristics. The Journal of Social Sciences. http://dx.doi.org/10.29228/SOBIDER.71125
  • Díaz, A., García, J., & Pérez, L. (2023). Gender differences in the propensity to start gambling. Journal of Gambling Studies, 39(4), 1799–1814. https://doi.org/10.1007/s10899-023-10232-z
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  • Lelonek-Kuleta, B., & Bartczuk, R. P. (2021). Online gambling activity, pay-to-win payments, motivation to gamble and coping strategies as predictors of gambling disorder among e-sports bettors. Journal of Gambling Studies, 37(4), 1079-1098. https://doi.org/10.1007/s10899-021-10015-4
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  • McBride, J., & Derevensky, J. L. (2017). Gambling and video game playing among youth. Journal of Gambling Issues.https://doi.org/10.4309/jgi.2016.34.9
  • Merkouris, S. S., Thomas, A. C., Shandley, K. A., Rodda, S. N., Oldenhof, E., & Dowling, N. A. (2016). An update on gender differences in the characteristics associated with problem gambling: A systematic review. Current Addiction Reports, 3, 254-267. https://doi.org/10.1007/s40429-016-0106-y
  • Mowrer, T., Wimer, J. W., Mowrey, R. J., & O’Neill, D. F. (2016). A study of NCAA gambling prevention videos on gambling perceptions within an NCAA division II baseball team. Journal of Intercollegiate Sport, 9(2), 379-400. https://doi.org/10.1123/jis.2015-0053
  • Neighbors, C., Rodriguez, L. M., Rinker, D. V., Gonzales, R., Agana, M., Tackett, J. L., & Foster, D. W. (2015). Efficacy of personalized normative feedback as a brief intervention for college student gambling: A randomized controlled trial. Journal of Consulting and Clinical Psychology, 83(3), 500-511. https://doi.org/10.1037/a0039125
  • Öztürk, F. Ö., & Ayaz-Alkaya, S. (2021). Internet addiction and psychosocial problems among adolescents during the COVID-19 pandemic: A cross-sectional study. Archives of Psychiatric Nursing, 35(6), 595-601. https://doi.org/10.1016/j.apnu.2021.08.007
  • Parhami, I., Siani, A., Campos, M., Rosenthal, R. J., & Fong, T. W. (2012). Gambling in the Iranian-American community and an assessment of motives: A case study. International Journal of Mental Health and Addiction, 10(5), 710-721. https://doi.org/10.1007/s11469-011-9372-z
  • Paris, J. J., Franco, C., Sodano, R., Frye, C. A., & Wulfert, E. (2010). Gambling pathology is associated with dampened cortisol response among men and women. Physiology & Behavior, 99(2), 230-233.
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  • Teeters, J. B., Ginley, M. K., Whelan, J. P., Meyers, A. W., & Pearlson, G. D. (2013). The moderating effect of gender on the relation between expectancies and gambling frequency among college students. Journal of Gambling Studies, 31(1), 173-182. https://doi.org/10.1007/s10899-013-9409-2
  • Tomei, A., Petrović, G., & Simon, O. (2022). Offline and online gambling in a Swiss emerging-adult male population. Journal of Gambling Studies, 38(4), 1215-1228. https://doi.org/10.1007/s10899-022-10106-w
  • Törrönen, J., Samuelsson, E., & Gunnarsson, M. (2020). Online gambling venues as relational actors in addiction: Applying the actor-network approach to life stories of online gamblers. International Journal of Drug Policy, 85, 102928. https://doi.org/10.1016/j.drugpo.2020.102928
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Leisure Time Internet Usage and Online Gambling Addiction: Investigation of Individuals Playing Gambling

Year 2025, Volume: 9 Issue: 1, 16 - 28, 29.06.2025

Abstract

The aim of the study was examine the effect of online gambling on leisure activities and the levels of online gambling addiction according to the demographic characteristics of individuals. The descriptive scanning model, which was widely used in social sciences, was preferred in this study. The study group included a total of 356 participants, 222 male and 134 female. The participants consisted of university students, individuals who gamble on online platforms, and individuals reached through social media groups. Demografic information form, "Leisure Time Internet Usage" scale and "Online Gambling Addiction" scale were used data collection tool in the study. In the statistical presentation of the data, normality analyses and descriptive statistical analyses, independent sample t-test, one-way analysis of variance (ANOVA) and Pearson correlation test were performed. According to the results, statistically significant differences were found in the variables of gender, education level, welfare status, leisure time period and gambling reason on the leisure time internet usage and online gambling addiction of the gamblers. Statistically significant relationship did not detected between online gambling addiction and leisure time internet usage scales. The research results revealed that the effect of online gambling on individuals' leisure time activities varies according to demographic characteristics and that this situation was an important factor in understanding the lifestyles of individuals with gambling addiction.

Ethical Statement

It was evaluated at the meeting of Manisa Celal Bayar University Social and Human Sciences Scientific Research and Publication Ethics Committee numbered 2024/03 held on 04.03.2024 and was unanimously accepted as ethically appropriate.

References

  • Acılar, A. (2022). The gender gap in online shopping in Turkey. International Journal of Information Communication Technologies and Human Development, 14(1), 1–13. https://doi.org/10.4018/ijicthd.299415
  • Akhlaq, A., & Ahmed, E. (2016). Gender differences among online shopping factors in Pakistan. Organizations and Markets in Emerging Economies, 7(1), 74–86. https://doi.org/10.15388/omee.2016.7.1.14216
  • Auer, M., & Griffiths, M. D. (2012). Voluntary limit setting and player choice in most intense online gamblers: An empirical study of gambling behaviour. Journal of Gambling Studies, 29(4), 647–660. https://doi.org/10.1007/s10899-012-9332-y
  • Beşikçi, T., & Dinç, S. C. (2022). Examination of the relationship between sensation seeking and leisure satisfaction in adventure recreation: The case of very light aircraft (VLA) pilots. CBU Journal of Physical Education and Sports Sciences, 17(2), 289–309. https://doi.org/10.33459/cbubesbd.1165496
  • Çakal, K., & Subaşı, B. (2023). Evaluation of the gambling behavior of individuals with gambling addiction within the framework of socio-demographic characteristics. The Journal of Social Sciences. http://dx.doi.org/10.29228/SOBIDER.71125
  • Díaz, A., García, J., & Pérez, L. (2023). Gender differences in the propensity to start gambling. Journal of Gambling Studies, 39(4), 1799–1814. https://doi.org/10.1007/s10899-023-10232-z
  • Dyck, D. V., Cardon, G., Deforche, B., Owen, N., Cocker, K. D., Wijndaele, K., … & Bourdeaudhuij, I. D. (2011). Socio-demographic, psychosocial, and home-environmental attributes associated with adults' domestic screen time. BMC Public Health, 11(1). https://doi.org/10.1186/1471-2458-11-668
  • Effertz, T., Bischof, A., Rumpf, H., Meyer, C., & John, U. (2018). The effect of online gambling on gambling problems and resulting economic health costs in Germany. The European Journal of Health Economics, 19(7), 967–978. https://doi.org/10.1007/s10198-017-0945-z
  • Elms, J., Kervenoael, R. J. D., & Hallsworth, A. (2016). Internet or store? An ethnographic study of consumers' internet and store-based grocery shopping practices. Journal of Retailing and Consumer Services, 32, 234–243. https://doi.org/10.1016/j.jretconser.2016.07.002
  • Fluharty, M., & Paul, E. (2022). Predictors and patterns of gambling behaviour across the COVID-19 lockdown: Findings from a UK cohort study. Journal of Affective Disorders, 298, 1–8. https://doi.org/10.1016/j.jad.2021.10.117
  • Gainsbury, S. (2015). Online gambling addiction: The relationship between internet gambling and disordered gambling. Current Addiction Reports, 2(2), 185–193. https://doi.org/10.1007/s40429-015-0057-8
  • Gainsbury, S., King, D. L., Russell, A., Delfabbro, P., Derevensky, J. L., & Hing, N. (2016). Exposure to and engagement with gambling marketing in social media: Reported impacts on moderate-risk and problem gamblers. Psychology of Addictive Behaviors, 30(2), 270–276. https://doi.org/10.1037/adb0000156
  • Gainsbury, S., Russell, A., Wood, R. T., Hing, N., & Blaszczynski, A. (2014). How risky is internet gambling? A comparison of subgroups of internet gamblers based on problem gambling status. New Media & Society, 17(6), 861–879. https://doi.org/10.1177/1461444813518185
  • Gao, L., Gan, Y., Whittal, A., & Lippke, S. (2020). Problematic internet use and perceived quality of life: Findings from a cross-sectional study investigating work-time and leisure-time internet use. International Journal of Environmental Research and Public Health, 17(11), 4056. https://doi.org/10.3390/ijerph17114056
  • Hagfors, H., Castrén, S., & Salonen, A. H. (2022). How gambling motives are associated with socio-demographics and gambling behavior - A Finnish population study. Journal of Behavioral Addictions, 11(1), 63–74. https://doi.org/10.1556/2006.2022.00003
  • Håkansson, A., & Widinghoff, C. (2019). Television gambling advertisements: Extent and content of gambling advertisements with a focus on potential high-risk commercial messages. Addictive Behaviors Reports, 9, 100182. https://doi.org/10.1016/j.abrep.2019.100182
  • Han, J., Seo, Y., Lee, C., & Han, D. H. (2018). Comparing the behavioral patterns and psychological characteristics of web board gamers and gamblers. Psychiatry Investigation, 15(12), 1181–1187. https://doi.org/10.30773/pi.2018.10.22.4
  • Henriksen, J., Hornebrant, M., & Berndt, A. (2022). Online casinos: Advertising and avoidance among Generation Y consumers in Sweden. SN Business & Economics, 2(1). https://doi.org/10.1007/s43546-021-00185-z
  • Karasar, N. (2012). Scientific research method. Ankara: Nobel Academic Publishing.
  • Karlsson, J., Broman, N., & Håkansson, A. (2019). Associations between problematic gambling, gaming, and internet use: A cross-sectional population survey. Journal of Addiction, 2019, 1–8.https://doi.org/10.1155/2019/1464858
  • Kuss, D. J., & Griffiths, M. D. (2011). Online social networking and addiction—A review of the psychological literature. International Journal of Environmental Research and Public Health, 8(9), 3528-3552. https://doi.org/10.3390/ijerph8093528
  • Lee, H. W., Choi, J. S., Shin, Y. J., Lee, J., Jung, H. Y., & Kwon, J. S. (2012). Impulsivity in internet addiction: A comparison with pathological gambling. Cyberpsychology, Behavior, and Social Networking, 15(7), 373-377. https://doi.org/10.1089/cyber.2012.0063
  • Lelonek-Kuleta, B., & Bartczuk, R. P. (2021). Online gambling activity, pay-to-win payments, motivation to gamble and coping strategies as predictors of gambling disorder among e-sports bettors. Journal of Gambling Studies, 37(4), 1079-1098. https://doi.org/10.1007/s10899-021-10015-4
  • López-Torres, I., León-Quismondo, L., & Ibáñez, A. (2021). Impulsivity, lack of premeditation, and debts in online gambling disorder. Frontiers in Psychiatry, 11, 618148. https://doi.org/10.3389/fpsyt.2020.618148
  • Machimbarrena, J. M., González-Cabrera, J., Ortega-Barón, J., Beranuy, M., Álvarez-Bardón, A., & Tejero, B. (2019). Profiles of problematic internet use and its impact on adolescents’ health-related quality of life. International Journal of Environmental Research and Public Health, 16(20), 3877. https://doi.org/10.3390/ijerph16203877
  • Mathieu, S., Barrault, S., Brunault, P., & Varescon, I. (2020). The role of gambling type on gambling motives, cognitive distortions, and gambling severity in gamblers recruited online. PLOS One, 15(10), e0238978. https://doi.org/10.1371/journal.pone.0238978
  • McBride, J., & Derevensky, J. L. (2017). Gambling and video game playing among youth. Journal of Gambling Issues.https://doi.org/10.4309/jgi.2016.34.9
  • Merkouris, S. S., Thomas, A. C., Shandley, K. A., Rodda, S. N., Oldenhof, E., & Dowling, N. A. (2016). An update on gender differences in the characteristics associated with problem gambling: A systematic review. Current Addiction Reports, 3, 254-267. https://doi.org/10.1007/s40429-016-0106-y
  • Mowrer, T., Wimer, J. W., Mowrey, R. J., & O’Neill, D. F. (2016). A study of NCAA gambling prevention videos on gambling perceptions within an NCAA division II baseball team. Journal of Intercollegiate Sport, 9(2), 379-400. https://doi.org/10.1123/jis.2015-0053
  • Neighbors, C., Rodriguez, L. M., Rinker, D. V., Gonzales, R., Agana, M., Tackett, J. L., & Foster, D. W. (2015). Efficacy of personalized normative feedback as a brief intervention for college student gambling: A randomized controlled trial. Journal of Consulting and Clinical Psychology, 83(3), 500-511. https://doi.org/10.1037/a0039125
  • Öztürk, F. Ö., & Ayaz-Alkaya, S. (2021). Internet addiction and psychosocial problems among adolescents during the COVID-19 pandemic: A cross-sectional study. Archives of Psychiatric Nursing, 35(6), 595-601. https://doi.org/10.1016/j.apnu.2021.08.007
  • Parhami, I., Siani, A., Campos, M., Rosenthal, R. J., & Fong, T. W. (2012). Gambling in the Iranian-American community and an assessment of motives: A case study. International Journal of Mental Health and Addiction, 10(5), 710-721. https://doi.org/10.1007/s11469-011-9372-z
  • Paris, J. J., Franco, C., Sodano, R., Frye, C. A., & Wulfert, E. (2010). Gambling pathology is associated with dampened cortisol response among men and women. Physiology & Behavior, 99(2), 230-233.
  • Poe, T. (2019). The efficacy of choice theory to identify at-risk gambling behavior in college students. Open Access Journal of Addiction and Psychology, 1(5). https://doi.org/10.33552/oajap.2019.01.000522
  • Rose, S., & Dhandayudham, A. (2014). Towards an understanding of internet-based problem shopping behaviour: The concept of online shopping addiction and its proposed predictors. Journal of Behavioral Addictions, 3(2), 83-89. https://doi.org/10.1556/jba.3.2014.003
  • Šramová, B., & Pavelka, J. (2019). Gender differences and wellbeing values in adolescent online shopping. International Journal of Retail & Distribution Management, 47(6), 623-642. https://doi.org/10.1108/ijrdm-08-2017-0173
  • Sundqvist, K., Jönsson, J., & Wennberg, P. (2016). Gambling motives in a representative Swedish sample of risk gamblers. Journal of Gambling Studies, 32(4), 1231-1241. https://doi.org/10.1007/s10899-016-9607-9
  • Teeters, J. B., Ginley, M. K., Whelan, J. P., Meyers, A. W., & Pearlson, G. D. (2013). The moderating effect of gender on the relation between expectancies and gambling frequency among college students. Journal of Gambling Studies, 31(1), 173-182. https://doi.org/10.1007/s10899-013-9409-2
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  • Törrönen, J., Samuelsson, E., & Gunnarsson, M. (2020). Online gambling venues as relational actors in addiction: Applying the actor-network approach to life stories of online gamblers. International Journal of Drug Policy, 85, 102928. https://doi.org/10.1016/j.drugpo.2020.102928
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There are 48 citations in total.

Details

Primary Language English
Subjects Sports and Recreation
Journal Section Research Articles
Authors

Cemal Faruk Rize 0009-0005-4835-1891

Tolga Beşikçi 0000-0002-5953-8353

Early Pub Date April 18, 2025
Publication Date June 29, 2025
Submission Date December 14, 2024
Acceptance Date March 4, 2025
Published in Issue Year 2025 Volume: 9 Issue: 1

Cite

APA Rize, C. F., & Beşikçi, T. (2025). Leisure Time Internet Usage and Online Gambling Addiction: Investigation of Individuals Playing Gambling. International Journal of Recreation and Sports Science, 9(1), 16-28.