The Ravaging Effects of Online Gambling on The Social Functioning of Male Breadwinners In African Families
Abstract
This systematic review examines the ravaging effects of online gambling on the social functioning of male breadwinners in African families. Online gambling negatively impacts the social functioning of male breadwinners in African families. The researcher realized that online gambling among male African breadwinners leads to habitual neglect of the family and deterioration in socialization. As a result, the way African families function socially is often changed negatively by the male gambler's behaviour. Additionally, because these men are seen as the heads of the families and superiors in their communities, families are further burdened as they fear confronting the situation. The researcher adopted the PRISMA methods for this paper. Based on their excellent reputation and strong recommendations, the researcher used the following scientific search databases to gather data for this study: Google Scholar; Taylor and Francis; Scopus, ScienceDirect, and ResearchGate. The researcher gathered 23 peer-reviewed journal articles, published between 2011 and 2024, and verified them after screening to ensure the study's eminence. Online gambling is growing daily across the globe, particularly in African continents. Some families rely on online gambling for survival due to the poverty rate and high unemployment among African communities. Male breadwinners are opting for online gambling to support their families financially despite its addictive nature and lack of monitoring in many parts of Africa. Because online gambling is so addictive, some male breadwinners find that they spend less time with their families, being more focused on gaming. This study is pivotal as it creates awareness in African continents about the ravaging effects of online gambling among male breadwinners. This study can be further expanded by focusing on African continents, especially in South Africa, where online gaming has been recorded as high in the past few years among males.
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References
Ahaibwe, G., Lakuma, C.P., Katunze, M., & Mawejje, J. (2016). Socio-economic effects of gambling: Evidence from Kampala city, Uganda. The Economic Policy Research Centre.
Akanle, O., Adesina, J.O., & Ogbimi, A.O. (2016). Men at work keep-off: Male roles and household chores in Nigeria. Journal of Gender & Behaviour, 14(3), 7833-7854.
Ampim, G.A., Haukenes, H., & Blystad, A. (2024). Making fathers: Masculinities and social change in the Ghanaian context. Journal of Gender & Behaviour, 67(1), 24-47. https://doi.org/10.2979/africatoday.67.1.03
Amutabi, M.N. (2018). Gambling addiction and threat to development in Kenya: Assessing the risks and problems of gamblers in changing society. Journal of African Interdisciplinary Society, 2(2), 2523-6725.
Ariyabuddhiphongs, V. (2013). Problem gambling prevention: Before, during, and after measures. Journal of International Mental Health and Addiction, 11, 658-658. https://doi.org/10.1007/s11469-013-9429-2
Austin, C.R., Bosek, D.D., & Jackson, S. (2021). Does prospect theory explain ethical decision-making? Evidence from tax compliance. Journal of Accounting, Organizations, and Society, 94, 1-22. https://doi.org/10.1016/j.aos.2021.101251
Barberis, N. (2012). A model of casino gambling. Journal of Management Science, 58(1), 35-51. https://doi.org/10.1287/mnsc.1110.1435
Barberis, N., Jin, L.J., & Wang, B. (2021). Prospect theory and stock market anomalies. Journal of Finance, 5(49), 2639-2687. https://doi.org/10.1111/jofi.13061
Belle, A.B., & Zhao, Y. (2023). Evidence-based decision-making: On the use of systematicity cases to check the compliance of reviews with reporting guidelines such as PRISMA 2020. Journal of Expert Systems with Applications, 1-27.
Borch, A. (2013). Households' images of gambling. University of Helsinki: Finland.
Cheng, C., & Yee-lam Li, A. (2014). Internet addiction prevalence and quality of (real) life: A meta-analysis of 31 nations across seven world regions. Journal of Cyberpsychology, Behavior, and Social Networking, 17(12), 1-6. https://doi.org/10.1089/cyber.2014.0317
Choliz, M. (2016). The challenge of online gambling: The effect of legalization on the increase in online gambling addiction. Journal of Gambling Addiction, 32, 749-756. https://doi.org/10.1007/s10899-015-9558-6
Clark, W.A.V., & Lisowski, W. (2017). Prospect theory and the decision to move or stay. University of California: Los Angeles. https://doi.org/10.1073/pnas.1708505114
Columb, D., & O'Gara, C. (2017). A national survey of online gambling behaviours. Journal of Irish Psychological Medicine, 35, 311-319. https://doi.org/10.1017/ipm.2017.64
Deans, E.G., Thomas, S.L., Daube, M., & Derevensky, J. (2016). "I can sit on the beach and punt through my mobile phone": The influence of physical and online environments on the gambling risk behaviours of young men. Journal of Social Science & Medicine, 166(11), 110-119. https://doi.org/10.1016/j.socscimed.2016.08.017
Dellis, A., Sharp, C., Hofmeyr, A., Schwardmann, P.M., Spurrett, D., Rousseau, J., & Ross, D. (2014). Criterion-related and construct validity of the problem gambling severity index in a sample of South African gamblers. Journal of South African Psychology, 44(2), 243-257. https://doi.org/10.1177/0081246314522367
Dowling, N. (2014). The impact of gambling problems on families. Australian Gambling Research Centre.
Dowling, N.A., Rodda, S.N., Lubman, D.I., & Jackson, A.C. (2014). The impacts of problem gambling on concerned significant others accessing web-based counselling. Journal of Addictive Behaviours, 39, 1253-1257. https://doi.org/10.1016/j.addbeh.2014.04.011
Dragicevic, S., Tsogas, G., & Kudic, A. (2011). Analysis of casino online gambling data in relation to behavioural risk markers for high-risk gambling and player protection. Journal of International Gambling Studies, 11(3), 377-391. https://doi.org/10.1080/14459795.2011.629204
Drosatos, G., Nalbadis, F., Arden-Close, E., Baines, V., Bolat, E., Vuillier, L., Kostoulas, T., Budka, M., Wasowska, S., Bonello, M., Brown, J., Corner, T., McAlaney, J., Phalp, K., & Ali, R. (2018). Enabling responsible gambling by real-time persuasive technologies, 99(17), 44-68.
Effertz, T., Bischof, A., Rumpf, H., Meyer, C., & John, U. (2018). The effects of online gambling on gambling problems and resulting economic health costs in Germany. Journal of European Health Economics, 19, 967-978. https://doi.org/10.1007/s10198-017-0945-z
Estevez, A., Jauregui, P., Lopez, Lopez-Gonzalez, H., & Griffiths, M. (2020). Difficulties in emotion regulation, coping, and dysfunctional psychological symptoms in family members of people with gambling disorder. Journal of International Mental Health and Addiction, 18, 1196-1206. https://doi.org/10.1007/s11469-019-00117-x
Gainsbury, S.M. (2015). Online gambling addiction: The relationship between internet gambling and disordered gambling. Journal of Technology and Addiction, 2, 185-193. https://doi.org/10.1007/s40429-015-0057-8
Goldstein, A.L., Vilhena-Churchill, N., Stewart, S.H., Hoaken, P.N.S., & Flett, G. (2016). Mood, motives, and money: Examining factors that differentiate online and non-online young adult gamblers. Journal of Behavioural Addictions, 5, 68-76. https://doi.org/10.1556/2006.5.2016.003
Haefele, J., Lischer, S., & Schwarz, J. (2011). Early detection items and responsible gambling features for online gambling. Journal of International Studies, 11(3), 273-288. https://doi.org/10.1080/14459795.2011.604643
Hing, N., Cherney, L., Blaszczynski, A., Gainsburg, S.M., & Lubman, D.I. (2014). Do advertising and promotions for online gambling increase gambling consumption? An exploratory study. Journal of International Gambling Studies, 14(3), 394-409. https://doi.org/10.1080/14459795.2014.903989
Hing, N., Russell, A., Tolchard, B., & Nower, L. (2016). Risk factors for gambling problems: An analysis by gender. Journal of Gambling Studies, 32, 511-534. https://doi.org/10.1007/s10899-015-9548-8
Hunter, A., Shorter, G.W & Griffiths, M.D.2012. An Empirical Study of Gender Differences in Online Gambling. Journal of Gambling Studies 30(1):1-10
Kairouz, Z., Costes, J., Murch, W.S., Doray-Demers, P., Carrier, C., & Eroukmanoff, V. (2023). Enabling new strategies to prevent problematic online gambling: A machine learning approach for identifying at-risk online gambler in France. Journal of International Gambling Studies, 23(3), 471-490. https://doi.org/10.1080/14459795.2022.2164042
Kaya, E., & Deveci, A. (2022). Parental acceptance/rejection perceptions and attachment styles of men with online gambling disorder. Journal of Gambling Studies, 38, 817-832. https://doi.org/10.1007/s10899-021-10084-5
Koenig-Visagie, L.H., & van Eeden, J. (2013). Gendered representation of fatherhood in contemporary South African church imagery from three Afrikaans corporate churches. Journal of Verbu et Ecclesia, 31(1), 1-12. https://doi.org/10.4102/ve.v34i1.760
Koomson, I., Churchill, S.A., & Munyanyi, M.E. (2022). Gambling and financial stress. Journal of Social Indicators Research, 163, 473-503. https://doi.org/10.1007/s11205-022-02898-6
Lee, S.W., & Koo, M.J. (2022). PRISMA 2020 statement and guidelines for systematic review and meta-analysis articles, and their underlying mathematics: Life Cycle Committee Recommendations. State-of-the-Art Review, 1-10. https://doi.org/10.54724/lc.2022.e9
Lelonek-Kuleta, B., Bartczuk, R.P., Wiechetek, M., Chwaszcz, J., & Niewiadomska, I. (2020). The prevalence of E-gambling and of problem E-gambling in Poland. Journal of International Environmental Research and Public Health, 22(6), 1-15. https://doi.org/10.3390/ijerph17020404
Ma, X., Kim, S.H., & Kim, S.S. (2014). Online gambling behavior: The impacts of cumulative outcomes, recent outcomes, and prior use. Journal of Information Systems Research, 25(3), 511-527. https://doi.org/10.1287/isre.2014.0517
McCormack, A., & Griffiths, D. (2010). Motivating and inhibiting factors in online gambling behavior: A grounded theory study. Journal of International Mental Health and Addiction, 10, 39-53. https://doi.org/10.1007/s11469-010-9300-7
McCormock, A., Shorter, G.W., & Griffiths, M.D. (2014). An empirical study of gender differences in online gambling. Journal of Gambling Studies, 30, 71-88. https://doi.org/10.1007/s10899-012-9341-x
Marionneau, V., Ruohio, H., & Karlsson, N. (2023). Gambling harm prevention and harm reduction in online environments: A call for action. Journal of Harm Reduction, 20(92), 1-9. https://doi.org/10.1186/s12954-023-00828-4
Marmet, S., Studer, J., Wicki, M., Khazaal, Y., & Gmel, G. (2021). Online gambling's association with gambling disorder and related problems in a representative sample of young Swiss men. Journal of Online Gambling and Gambling Disorder, 12, 1-10. https://doi.org/10.3389/fpsyt.2021.703118
Masarik, A.S., & Conger, R.D. (2017). Stress and child development: A review of the family stress model. University of California: USA. https://doi.org/10.1016/j.copsyc.2016.05.008
Mathews, M., & Volberg, R. (2013). Impact of problem gambling on financial, emotional and social well-being of Singaporean families. Journal of International Gambling Studies, 13(1), 127-140. https://doi.org/10.1080/14459795.2012.731422
Montgomery, C.M., Hosegood, V., Busza, J., & Timaus, I.M. (2006). Men's involvement in South African families: Engendering change in the AIDS era. Journal of Social Science & Medicine, 62, 2411-2419. https://doi.org/10.1016/j.socscimed.2005.10.026
Montiel, I., Ortega-baron, J., Basterra-Gonzalez, A., Gonzalez-Gabrera, J & Machimbarrena, J.M.2021. Problematic online gambling among adolescents: A systematic review about prevalence and related measurement issues. Journal of Behavioural Addictions, 10(3): 566–586
National Gambling Board South Africa. (2016). National gambling policy: Final policy. Government Gazette.
Neppl, T.K., Senia, J.M., & Donnellan, B. (2015). Effects of economic hardships: Testing the family stress model over time. Journal of Family Psychology, 1-30. https://doi.org/10.1037/fam0000168
Ningrum, W.T.P., & Mas'udah, S. (2021). Family conflicts and the violence of unemployed husbands against their wives acting as the main breadwinner. Journal of Sociology, 16(1), 76-85. https://doi.org/10.20473/jsd.v16i1.2021.76-85
Paterson, M., Whitty, M., & Boyer, C. (2019). An overview of digital and online strategies to reduce harm. Journal of Australian Health Promotion, 18(24), 248-256. https://doi.org/10.1002/hpja.341
Reith, G., Wardle, H., & Gilmore, I. (2019). Gambling harm: A global problem requiring global solution. Lancet, 394(10205), 1212-1214. https://doi.org/10.1016/S0140-6736(19)31991-9
Rethlefsen, M., & Page, M.J. (2022). PRISMA 2020 and PRISMA-S: Common questions on tracking records and the flow diagram. Journal of Medical Library Association, 110(2), 1-5. https://doi.org/10.5195/jmla.2022.1449
Sear, R. (2021). The male breadwinner nuclear family is not the 'traditional' human family, and promotion of this myth may have adverse health consequences. London School of Hygiene and Tropical Medicine: UK. https://doi.org/10.1098/rstb.2020.0020
Senormanci, O., Senormanci, G., Guclu, O., & Konkan, R. (2014). Attachment and family functioning in patients with Internet addiction. Journal of General Hospital Psychology, 36, 203-207. https://doi.org/10.1016/j.genhosppsych.2013.10.012
Simons, L.G., & Steele, M.E. (2020). The negative impact of economic hardship on adolescents' academic engagement: An examination of parental investment and family stress processes. Journal of Youth and Adolescence, 49, 973-990. https://doi.org/10.1007/s10964-020-01210-4
Sinclair, H., Pretorius, A., & Stein, D.J. (2014). A counselling line for problem and pathological gambling in South Africa: Preliminary data analysis. Journal of Behavioural Addictions, 3(3), 199-202. https://doi.org/10.1556/JBA.3.2014.017
Sriyasak, A., Almqvist, A., Sridawruang, C., Neamsakul, W., & Haggstrom-Nordin, E. (2018). The new generation of Thai fathers: Breadwinners involved in parenting. Journal of American Men's Health, 12(5), 1368-1378. https://doi.org/10.1177/1557988316651062
Statistics South Africa. (2020). Statistical release P0318: General household survey 2018. Pretoria: ISIbalo House.
Statistics South Africa. (2023). Census 2023. RSA. https://doi.org/10.5089/9798400251337.002
Su, W., Han, X., Yu, H., Wu, Y., & Potenza, M.N. (2020). Do men become addicted to internet gaming and women to social media? A meta-analysis examining gender-related differences in specific internet addiction. Journal of Computers in Human Behaviour, 1-11. https://doi.org/10.1016/j.chb.2020.106480
Wood, R.T., & Williams, R.J. (2011). A comparative profile of the internet gambler: Demographic characteristics, game-play patterns, and problem gambling status. Journal of New Media & Society, 13(7), 1123-1141. https://doi.org/10.1177/1461444810397650
Yawe, B.L., & Ssengooba, K. (2014). Gambling and mobile money payments: A case study of sports betting in Uganda. University of Uganda.
Yusop, S.R.M., Rasul, M.S., Yasin, R.M., Hashim, H.U., & Jalaludin, N.A. (2022). An assessment of approaches and learning outcomes in technical and vocational education: A systematic review using PRISMA. Sustainability, 14, 1-18. https://doi.org/10.3390/su14095225
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