From Clicks to Bets: How Social Media Engagement Influences Gambling Severity-Cross-Sectional Research
Jazyk angličtina Země Spojené státy americké Médium print
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
39964022
PubMed Central
PMC11833836
DOI
10.1177/00469580251318162
Knihovny.cz E-zdroje
- Klíčová slova
- Problem Gambling Severity Index (PGSI), digital gambling platforms and expenditures, digital literacy and prevention, disruptive social media behavior, internet gambling addiction,
- MeSH
- dospělí MeSH
- hráčství * psychologie epidemiologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- motivace MeSH
- průřezové studie MeSH
- průzkumy a dotazníky MeSH
- sociální média * statistika a číselné údaje MeSH
- stupeň závažnosti nemoci MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Česká republika epidemiologie MeSH
The evolving gambling environment, marked by increased accessibility and innovative promotions, has led to rising expenditures globally. Despite this, the relationship between social media use and problem gambling in the Czech Republic remains underexplored. To investigate the association between social media use and problem gambling severity among Czech adults using the Problem Gambling Severity Index (PGSI). Is there a difference in gambling severity based on demographic characteristics? (1); Is there a relationship between social media news consumption and gambling severity? (2); Is there a connection between negative motives for social media use and problematic usage? (3); Is there a link between problematic social media use and gambling severity? (4). Primary research, designed as a cross-sectional study, was conducted in the Czech Republic in November 2024 on a sample of 3093 respondents (48.4% male). All participants were aged 16 years or older. The sample was selected using quota sampling based on multiple identifying quota variables, with minimal differences in the proportions of quota indicators compared to the general population. Non-parametric tests and ordinal logistic regression analyzed relationships between demographics, social media use, and PGSI scores. Higher PGSI scores were found among males, younger participants, those with lower education, and the unemployed or students. Greater social media news consumption correlated with increased gambling severity. Disruptive social media behaviors, such as waking up to check notifications and interrupting activities, were significantly associated with higher PGSI scores. Problematic social media use involving deceit and family conflict substantially heightened the risk of severe gambling problems. These findings highlight the need for targeted prevention initiatives, regulatory policies, and enhanced digital literacy to safeguard vulnerable groups from the risks posed by digital gambling platforms. Addressing both gambling behaviors and problematic social media use is crucial in mitigating potential harms.
Zobrazit více v PubMed
World Health Organization. Public health implications of excessive use of the internet, computers, smartphones and similar electronic devices. Paper presented at: Meeting Report, Main Meeting Hall, Foundation for Promotion of Cancer Research, National Cancer Research Centre, Tokyo, Japan, 27-29 August 2014. Brussels: World Health Organization, 2015.
Bhargava VR, Velasquez M. Ethics of the attention economy: the problem of social media addiction. Bus Ethics Q. 2021;31(3):321-359. doi:10.1017/beq.2020.32 DOI
Grönroos T, Kouvonen A, Kontto J, Salonen AH. Socio-demographic factors, gambling behaviour, and the level of gambling expenditure: a population-based study. J Gambl Stud. 2021;38:1093-1109. doi:10.1007/s10899-021-10075-6 PubMed DOI PMC
Tran LT, Wardle H, Colledge-Frisby S, et al.. The prevalence of gambling and problematic gambling: a systematic review and meta-analysis. Lancet Public Health. 2024;9:e594-613. doi:10.1016/s2468-2667(24)00126-9 PubMed DOI
Eby LT, Mitchell ME, Gray CJ, et al.. Gambling-related problems across life domains: an exploratory study of non-treatment-seeking weekly gamblers. Commun Work Family. 2016;19(5):604-620. doi:10.1080/13668803.2015.1112255 DOI
McCarthy S, Thomas SL, Pitt H, et al.. “They loved gambling more than me.” Women’s experiences of gambling-related harm as an affected other. Health Prom J Aust. 2023;34(2):284-293. doi:10.1002/hpja.608 PubMed DOI
Kessler RC, Aguilar-Gaxiola S, Alonso J, et al.. The global burden of mental disorders: an update from the WHO World Mental Health (WMH) surveys. Epidemiol Psychiatr Sci. 2009;18(1):23-33. doi:10.1017/s1121189x00001421 PubMed DOI PMC
Castrén S, Kontto J, Alho H, Salonen AH. The relationship between gambling expenditure, socio-demographics, health-related correlates and gambling behaviour—a cross-sectional population-based survey in Finland. Addiction. 2018;113(1):91-106. doi:10.1111/add.13929 PubMed DOI PMC
Pearce J, Mason K, Hiscock R, Day P. A national study of neighbourhood access to gambling opportunities and individual gambling behaviour. J Epidemiol Commun Health. 2008;62(10):862-868. doi:10.1136/jech.2007.068114 PubMed DOI
Raisamo S, Toikka A, Selin J, Heiskanen M. The density of electronic gambling machines and area-level socioeconomic status in Finland: a country with a legal monopoly on gambling and a decentralised system of EGMs. BMC Public Health. 2019;19:1-7. doi:10.1186/s12889-019-7535-1 PubMed DOI PMC
LaPlante DA, Nelson SE, LaBrie RA, Shaffer HJ. Men & women playing games: gender and the gambling preferences of Iowa gambling treatment program participants. J Gambl Stud. 2006;22:65-80. doi:10.1007/s10899-005-9003-3 PubMed DOI
McCormack A, Shorter GW, Griffiths MD. An empirical study of gender differences in online gambling. J Gambl Stud. 2014;30:71-88. doi:10.1007/s10899-012-9341-x PubMed DOI
Roukka T, Salonen AH. The winners and the losers: tax incidence of gambling in Finland. J Gambl Stud. 2020;36(4):1183-1204. doi:10.1007/s10899-019-09899-0 PubMed DOI PMC
Gornick JC, Munzi T, Sierminska E, Smeeding TM. Income, assets, and poverty: older women in comparative perspective. J Women Polit Policy. 2009;30(2-3):272-300. doi:10.1080/15544770902901791 DOI
Salonen AH, Kontto J, Perhoniemi R, Alho H, Castrén S. Gambling expenditure by game type among weekly gamblers in Finland. BMC Public Health. 2018;18:1-12. doi:10.1186/s12889-018-5613-4 PubMed DOI PMC
Barrault S, Mathieu S, Brunault P, Varescon I. Does gambling type moderate the links between problem gambling, emotion regulation, anxiety, depression and gambling motives. Int Gambl Stud. 2019;19(1):54-68. doi:10.1080/14459795.2018.1501403 DOI
Rogier G, Picci G, Velotti P. Struggling with happiness: a pathway leading depression to gambling disorder. J Gambl Stud. 2019;35:293-305. doi:10.1007/s10899-018-09825-w PubMed DOI
Dowling NA, Suomi A, Jackson AC, Lavis T. Problem gambling family impacts: Development of the problem gambling family impact scale. J Gambl Stud. 2016;32:935-955. doi:10.1007/s10899-015-9582-6 PubMed DOI
Mazar A, Williams RJ, Stanek EJ, Zorn M, Volberg RA. The importance of friends and family to recreational gambling, at-risk gambling, and problem gambling. BMC Public Health. 2018;18:1-14. doi:10.1186/s12889-018-5988-2 PubMed DOI PMC
Goodwin BC, Browne M, Rockloff M, Rose J. A typical problem gambler affects six others. Int Gambl Stud. 2017;17(2):276-289. doi:10.1080/14459795.2017.1331252 DOI
Lind K, Castrén S, Hagfors H, Salonen AH. Harm as reported by affected others: a population-based cross-sectional Finnish gambling 2019 study. Addict Behav. 2022;129:107263. doi:10.1016/j.addbeh.2022.107263 PubMed DOI
Ofori Dei SM, Christensen DR, Awosoga O, et al.. The effects of perceived gambling availability on problem gambling severity. J Gambl Stud. 2020;36:1065-1091. doi:10.1007/s10899-020-09930-9 PubMed DOI
Dellosa G, Browne M. The influence of age on gambling problems worldwide: a systematic review and meta-analysis of risk among younger, middle-aged, and older adults. J Behav Addict. 2024;13(3):702-715. doi:10.1556/2006.2024.00051 PubMed DOI PMC
Nedeljković B, Zubović J, Kilibarda B. Exploring socioeconomic, demographic and psychological predictors of at-risk gambling and participation in specific gambling activities: a comparative approach. J Gambl Stud. 2024;40:873-891. doi:10.1007/s10899-023-10278-z PubMed DOI
Hing N, Russell AMT, Vitartas P, et al.. Demographic, behavioural and normative risk factors for gambling problems amongst sports bettors. J Gambl Stud. 2016;32:625-641. doi:10.1007/s10899-015-9571-9 PubMed DOI PMC
Abbott MW. The changing epidemiology of gambling disorder and gambling-related harm: public health implications. Public Health. 2020;184:41-45. doi:10.1016/j.puhe.2020.04.003 PubMed DOI
Hahmann T, Hamilton-Wright S, Ziegler C, Matheson FI. Problem gambling within the context of poverty: a scoping review. Int Gambl Stud. 2021;21(2):183-219. doi:10.1080/14459795.2020.1819365 DOI
Van der Maas M, Mann RE, Matheson FI, Turner NE, Hamilton HA, McCready J. A free ride? An analysis of the association of casino bus tours and problem gambling among older adults. Addiction. 2017;112(12):2217-2224. doi:10.1111/add.13914 PubMed DOI PMC
Parke A, Griffiths M, Pattinson J, Keatley D. Age-related physical and psychological vulnerability as pathways to problem gambling in older adults. J Behav Addict. 2018;7(1):137-145. doi:10.1556/2006.7.2018.18 PubMed DOI PMC
Dennis CB, Davis TD, Chang J, McAllister C. Psychological vulnerability and gambling in later life. J Gerontol Social Work. 2017;60(6-7):471-486. doi:10.1080/01634372.2017.1329764 PubMed DOI
Matheson FI, Sztainert T, Lakman Y, Steele SJ, Ziegler CP, Ferentzy P. Prevention and treatment of problem gambling among older adults: a scoping review. J Gambl Issues. 2018;39:1-61. doi:10.4309/jgi.2018.39.2 DOI
Currie SR, Casey DM, Hodgins DC. Improving the Psychometric Properties of the Problem Gambling Severity Index. Ottawa, ON: Canadian Consortium for Gambling Research. 2010;1-120. Accessed May 19, 2024. https://www.greo.ca/Modules/EvidenceCentre/files/Currie%20et%20al(2010)Improving_the_psychometric_properties_of_the_PGSI.pdf.
Currie SR, Hodgins DC, Casey DM. Validity of the problem gambling severity index interpretive categories. J Gambl Stud. 2013;29:311-327. doi:10.1007/s10899-012-9300-6 PubMed DOI
Yadav SK, Singh S, Gupta R. Biomedical Statistics. Singapore: Springer. 2019.
Harrell FE., Jr. Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. 2nd ed. Hoboken, NJ: Wiley, 2015.
Monson E, Kairouz S, Perks M, Arsenault N. Are general and activity-specific PGSI scores consistent? J Gambl Issues. 2019;41:1-13. doi:10.4309/jgi.2019.41.3 DOI
Latvala T, Lintonen T, Konu A. Public health effects of gambling – debate on a conceptual model. BMC Public Health. 2019;19:1-16. doi:10.1186/s12889-019-7391-z PubMed DOI PMC
Latvala TA, Lintonen TP, Browne M, Rockloff M, Salonen AH. Social disadvantage and gambling severity: a population-based study with register-linkage. Eur J Public Health. 2021;31(6):1217-1223. doi:10.1093/eurpub/ckab162 PubMed DOI PMC
Canale N, Vieno A, Lenzi M, et al.. Income inequality and adolescent gambling severity: findings from a large-scale Italian representative survey. Front Psychol. 2017;8:1318. doi:10.3389/fpsyg.2017.01318 PubMed DOI PMC
Velotti P, Rogier G, Zobel SB, Billieux J. Association between gambling disorder and emotion (dys) regulation: a systematic review and meta-analysis. Clin Psychol Rev. 2021;87:102037. doi:10.1016/j.cpr.2021.102037 PubMed DOI
Johnstone P, Regan M. Gambling harm is everybody’s business: a public health approach and call to action. Public Health. 2020;184:63-66. doi:10.1016/j.puhe.2020.06.010 PubMed DOI PMC
Moreira D, Azeredo A, Dias P. Risk factors for gambling disorder: a systematic review. J Gambl Stud. 2023;39(2):483-511. doi:10.1007/s10899-023-10195-1 PubMed DOI PMC
Van Schalkwyk MC, Petticrew M, Cassidy R, et al.. A public health approach to gambling regulation: countering powerful influences. Lancet Public Health. 2021;6(8):e614-e619. PubMed
King DL, Delfabbro PH, Kaptsis D, Zwaans T. Adolescent simulated gambling via digital and social media: an emerging problem. Comput Human Behav. 2014;31:305-313. doi:10.1016/j.chb.2013.10.048 DOI
Delfabbro P, King DL, Derevensky JL. Adolescent gambling and problem gambling: prevalence, current issues, and concerns. Curr Addict Rep. 2016;3:268-274. doi:10.1007/s40429-016-0105-z DOI
Regan M, Smolar M, Burton R, et al.. Policies and interventions to reduce harmful gambling: an international Delphi consensus and implementation rating study. Lancet Public Health. 2022;7(8):e705-e717. doi:10.1016/s2468-2667(22)00137-2 PubMed DOI
Lakew N, Jonsson J, Lindner P. Towards an active role of financial institutions in preventing problem gambling: a proposed conceptual framework and taxonomy of financial wellbeing indicators. J Gambl Stud. 2024;8:1-30. doi:10.1007/s10899-024-10312-8 PubMed DOI PMC
Wheaton J, Ford B, Nairn A, Collard S. Towards a conceptual framework for the prevention of gambling-related harms: findings from a scoping review. PLoS One. 2024;19(3):e0298005. doi:10.1371/journal.pone.0298005 PubMed DOI PMC
Purwaningsih E, Nurmala I. The impact of online game addiction on adolescent mental health: a systematic review and meta-analysis. Macedon J Med Sci. 2021;9:260-274. doi:10.3889/oamjms.2021.6234 DOI
Davoudi M, Shirvani S, Foroughi A, et al.. Online gambling in iranian social media users: prevalence, related variables and psychiatric correlations. J Gambl Stud. 2022;38:397-409. doi:10.1007/s10899-021-10020-7 PubMed DOI
Mujica AL, Crowell CR, Villano MA, Uddin KM. Addiction by design: some dimensions and challenges of excessive social media use. Med Res Archiv. 2022;10(2):1-29. doi:10.18103/mra.v10i2.2677 DOI
Kumar Swain R, Pati AK. Use of social networking sites (SNSs) and its repercussions on sleep quality, psychosocial behavior, academic performance and circadian rhythm of humans – a brief review. Biol Rhythm Res. 2021;52(8):1139-1178. doi:10.1080/09291016.2019.1620487 DOI
Carr MM, Ellis JD, Ledgerwood DM. Suicidality among gambling helpline callers: a consideration of the role of financial stress and conflict. Am J Addict. 2018;27(6):531-537. doi:10.1111/ajad.12787 PubMed DOI
Sander L, Rausch L, Baumeister H. Effectiveness of internet-based interventions for the prevention of mental disorders: a systematic review and meta-analysis. JMIR Mental Health. 2016;3(3):e6061. doi:10.2196/mental.6061 PubMed DOI PMC
R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing, 2024. Accessed May 19, 2024. https://www.R-project.org/.