Getting even: chasing behavior, decision-making, and craving in habitual gamblers.
Chasing
Craving
Decision-making styles
Gambling
Gambling disorder
Iowa Gambling Task
Journal
BMC psychology
ISSN: 2050-7283
Titre abrégé: BMC Psychol
Pays: England
ID NLM: 101627676
Informations de publication
Date de publication:
19 Aug 2024
19 Aug 2024
Historique:
received:
19
12
2023
accepted:
17
07
2024
medline:
19
8
2024
pubmed:
19
8
2024
entrez:
18
8
2024
Statut:
epublish
Résumé
Dysfunctional decision-making and intense craving represent pivotal aspects across all addictive behaviors, notably evident in gambling addiction where these factors significantly shape chasing behavior-continuing gambling to recoup losses-indicative of problematic gambling. This study explores the correlation between chasing behavior, craving, affective decision-making, decision-making styles, and gambling severity among habitual Italian gamblers. One hundred and sixty-six participants from diverse gambling venues completed assessments including the South Oaks Gambling Screen (SOGS), the Iowa Gambling Task (IGT), the General Decision-Making Style (GDMS), the Gambling Craving Scale (GACS), and a computerized task to measure chasing behavior. Participants were randomly assigned to Control and Loss chasing conditions. Regression analyses revealed craving as a predictor of chasing behavior. Interestingly, individuals with a dependent decision-making style exhibited lower tendencies to chase. While IGT performance correlates with chasing frequency, it is not associated with the decision to continue or cease gambling. Intriguingly, gambling severity (SOGS total score) did not feature in the final models of both regression analyses. These findings emphasize the significant role of craving in driving chasing behavior. Additionally, this study introduces, for the first time, the idea that a dependent decision-making style could potentially serve as a safeguard against chasing proneness. The study suggests a fundamental dichotomy between chasers and nonchasers among gamblers, irrespective of gambling severity. This distinction could be instrumental in tailoring more effective intervention strategies for gambling disorder treatment.
Sections du résumé
BACKGROUND
BACKGROUND
Dysfunctional decision-making and intense craving represent pivotal aspects across all addictive behaviors, notably evident in gambling addiction where these factors significantly shape chasing behavior-continuing gambling to recoup losses-indicative of problematic gambling. This study explores the correlation between chasing behavior, craving, affective decision-making, decision-making styles, and gambling severity among habitual Italian gamblers.
METHODS
METHODS
One hundred and sixty-six participants from diverse gambling venues completed assessments including the South Oaks Gambling Screen (SOGS), the Iowa Gambling Task (IGT), the General Decision-Making Style (GDMS), the Gambling Craving Scale (GACS), and a computerized task to measure chasing behavior. Participants were randomly assigned to Control and Loss chasing conditions.
RESULTS
RESULTS
Regression analyses revealed craving as a predictor of chasing behavior. Interestingly, individuals with a dependent decision-making style exhibited lower tendencies to chase. While IGT performance correlates with chasing frequency, it is not associated with the decision to continue or cease gambling. Intriguingly, gambling severity (SOGS total score) did not feature in the final models of both regression analyses.
DISCUSSION
CONCLUSIONS
These findings emphasize the significant role of craving in driving chasing behavior. Additionally, this study introduces, for the first time, the idea that a dependent decision-making style could potentially serve as a safeguard against chasing proneness.
CONCLUSIONS
CONCLUSIONS
The study suggests a fundamental dichotomy between chasers and nonchasers among gamblers, irrespective of gambling severity. This distinction could be instrumental in tailoring more effective intervention strategies for gambling disorder treatment.
Identifiants
pubmed: 39155391
doi: 10.1186/s40359-024-01911-6
pii: 10.1186/s40359-024-01911-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
445Informations de copyright
© 2024. The Author(s).
Références
Kulkarni KR, Berner LA, Schiller D, Fiore VG, Gu X. A generalizable computational mechanism underlying the interaction between momentary craving and decision-making. bioRxiv. 2023. https://doi.org/10.1101/2023.04.24.538109 .
Banerjee N, Chen Z, Clark L, Noël X. Behavioural expressions of loss-chasing in gambling: a systematic scoping review. Neurosci Biobehav Rev. 2023;153:105377. https://doi.org/10.1016/j.neubiorev.2023.105377 .
doi: 10.1016/j.neubiorev.2023.105377
pubmed: 37648042
Chen Z, Doekemeijer RA, Noël X, Verbruggen F. Winning and losing in online gambling: effects on within-session chasing. PLoS One. 2022;17(8):e0273359. https://doi.org/10.1371/journal.pone.0273359 .
doi: 10.1371/journal.pone.0273359
pubmed: 35981088
pmcid: 9387854
Lesieur HR. The compulsive gambler’s spiral of options and involvement. Psychiatry. 1979;42(1):79–87. https://doi.org/10.1080/00332747.1979.11024008 .
doi: 10.1080/00332747.1979.11024008
pubmed: 760136
Lesieur HR. The chase: career of the compulsive gambler. Cambridge: Schenkman; 1984.
American Psychiatric Association [APA]. Diagnostic and statistical manual of mental disorders (5th ed., Text Rev.). Washington, DC: American Psychiatric Press; 2022. https://doi.org/10.1176/appi.books.9780890425787 .
Breen R, Zuckerman M. ‘Chasing’ in gambling behavior: personality and cognitive determinants. Pers Individ Differ. 1999;27(6):1097–111. https://doi.org/10.1016/s0191-8869(99)00052-5 .
doi: 10.1016/s0191-8869(99)00052-5
Blaszczynski A, Nower L. A pathways model of problem and pathological gambling. Addiction. 2002;97(5):487–99. https://doi.org/10.1046/j.1360-0443.2002.00015.x .
doi: 10.1046/j.1360-0443.2002.00015.x
pubmed: 12033650
Campbell-Meiklejohn D, Woolrich MW, Passingham RE, Rogers RD. Knowing when to stop: the brain mechanisms of chasing losses. Biol Psychiatry. 2008;63(3):293–300. https://doi.org/10.1016/j.biopsych.2007.05.014 .
doi: 10.1016/j.biopsych.2007.05.014
pubmed: 17662257
Lister JJ, Nower L, Wohl MJA. Gambling goals predict chasing behavior during slot machine play. Addict Behav. 2016;62:129–34. https://doi.org/10.1016/j.addbeh.2016.06.018 .
doi: 10.1016/j.addbeh.2016.06.018
pubmed: 27347654
Nigro G, Matarazzo O, Ciccarelli M, D’Olimpio F, Cosenza M. To chase or not to chase: a study on the role of mentalization and alcohol consumption in chasing behavior. J Behav Addict. 2019;8(4):743–53. https://doi.org/10.1556/2006.8.2019.67 .
doi: 10.1556/2006.8.2019.67
pubmed: 31891312
pmcid: 7044581
Nigro G, Matarazzo O, Ciccarelli M, Pizzini B, Sacco M, Cosenza M. Positive illusions: the role of cognitive distortions related to gambling and temporal perspective in chasing behavior. J Gambl Stud. 2022;38(3):889–904. https://doi.org/10.1007/s10899-021-10068-5 .
doi: 10.1007/s10899-021-10068-5
pubmed: 34415450
O’Connor JJ, Dickerson M. Definition and measurement of chasing in off-course betting and gaming machine play. J Gambl Stud. 2003;19(4):359–86. https://doi.org/10.1023/a:1026375809186 .
doi: 10.1023/a:1026375809186
pubmed: 14634298
Linnet J, Rojskjaer S, Nygaard J, Maher BA. Episodic chasing in pathological gamblers using the Iowa gambling task. Scand J Psychol. 2006;47(1):43–9. https://doi.org/10.1111/j.1467-9450.2006.00491.x .
doi: 10.1111/j.1467-9450.2006.00491.x
pubmed: 16433661
McCown WG, Chamberlain LL. Best possible odds: contemporary treatment strategies for gambling disorders. New York: Wiley; 2000.
Dickerson M, Hinchy J, Fabre J. Chasing, arousal and sensation seeking in off-course gamblers. Br J Addict. 1987;82(6):673–80. https://doi.org/10.1111/j.1360-0443.1987.tb01530.x .
doi: 10.1111/j.1360-0443.1987.tb01530.x
pubmed: 3475105
McBride O, Adamson G, Shevlin M. A latent class analysis of DSM-IV pathological gambling criteria in a nationally representative British sample. Psychiatry Res. 2010;17(2):401–7. https://doi.org/10.1016/j.psychres.2009.11.010 .
doi: 10.1016/j.psychres.2009.11.010
Sacco P, Torres LR, Cunningham-Williams RM, Woods C, Unick GJ. Differential item functioning of pathological gambling criteria: an examination of gender, race/ethnicity, and age (Social Science Premium Collection). J Gambl Stud. 2011;27(2):317–30. https://doi.org/10.1007/s10899-010-9209-x .
doi: 10.1007/s10899-010-9209-x
pubmed: 20623329
pmcid: 4459593
Toce-Gerstein M, Gerstein DR, Volberg RA. A hierarchy of gambling disorders in the community. Addiction. 2003;98(12):1661–72. https://doi.org/10.1111/j.1360-0443.2003.00545.x .
doi: 10.1111/j.1360-0443.2003.00545.x
pubmed: 14651495
Yakovenko I, Fortgang R, Prentice J, Hoff RA, Potenza MN. Correlates of frequent gambling and gambling-related chasing behaviors in individuals with schizophrenia-spectrum disorders. J Behav Addict. 2018;7(2):375–83. https://doi.org/10.1556/2006.7.2018.31 .
doi: 10.1556/2006.7.2018.31
pubmed: 29788756
pmcid: 6174591
Ciccarelli M, Cosenza M, D’Olimpio F, Griffiths MD, Nigro G. An experimental investigation of the role of delay discounting and craving in gambling chasing behavior. Addict Behav. 2019;93:250–6. https://doi.org/10.1016/j.addbeh.2019.02.002 .
doi: 10.1016/j.addbeh.2019.02.002
pubmed: 30818227
Nigro G, Ciccarelli M, Cosenza M. The illusion of handy wins: problem gambling, chasing, and affective decision-making. J Affect Disord. 2018;225:256–9. https://doi.org/10.1016/j.jad.2017.08.010 .
doi: 10.1016/j.jad.2017.08.010
pubmed: 28841489
Nigro G, Ciccarelli M, Cosenza M. Tempting fate: chasing and maladaptive personality traits in gambling behavior. Psychiatry Res. 2018;267:360–7. https://doi.org/10.1016/j.psychres.2018.05.088 .
doi: 10.1016/j.psychres.2018.05.088
pubmed: 29957554
Chamberlain SR, Stochl J, Redden SA, Odlaug BL, Grant JE. Latent class analysis of gambling subtypes and impulsive/compulsive associations: time to rethink diagnostic boundaries for gambling disorder? Addict Behav. 2017;72:79–85. https://doi.org/10.1016/j.addbeh.2017.03.020 .
doi: 10.1016/j.addbeh.2017.03.020
pubmed: 28384607
pmcid: 5457805
James R, O’Malley C, Tunney RJ. Loss of control as a discriminating factor between different latent classes of disordered gambling severity. J Gambl Stud. 2016;32(4):1155–73. https://doi.org/10.1007/s10899-016-9592-z .
doi: 10.1007/s10899-016-9592-z
pubmed: 26892198
pmcid: 5101294
Kong G, Tsai J, Krishnan-Sarin S, et al. A latent class analysis of pathological-gambling criteria among high school students. J Addict Med. 2014;8(6):421–30. https://doi.org/10.1097/adm.0000000000000074 .
doi: 10.1097/adm.0000000000000074
pubmed: 25275877
pmcid: 4667944
Mallorquí-Bagué N, Mestre-Bach G, Testa G. Craving in gambling disorder: a systematic review. J Behav Addict. 2023;12(1):53–79. https://doi.org/10.1556/2006.2022.00080 .
doi: 10.1556/2006.2022.00080
pubmed: 36787136
pmcid: 10260221
Ashrafioun L, Rosenberg H. Methods of assessing craving to gamble: a narrative review. Psychol Addict Behav. 2012;26(3):536–49. https://doi.org/10.1037/a0026367 .
doi: 10.1037/a0026367
pubmed: 22121917
Drummond DC, Litten RZ, Lowman C, Hunt WA. Craving research: future directions. Addiction. 2000;95(8):247–55. https://doi.org/10.1080/09652140050111816 .
doi: 10.1080/09652140050111816
Castellani B, Rugle L. A comparison of pathological gamblers to alcoholics and cocaine misusers on impulsivity, sensation seeking, and craving. Int J Addict. 1995;30(3):275–89. https://doi.org/10.3109/10826089509048726 .
doi: 10.3109/10826089509048726
pubmed: 7790128
Tavares H, Zilberman ML, Hodgins DC, El-Guebaly N. Comparison of craving between pathological gamblers and alcoholics. Alcohol Clin Exp Res. 2005;29(8):1427–31. https://doi.org/10.1097/01.alc.0000175071.22872.98 .
doi: 10.1097/01.alc.0000175071.22872.98
pubmed: 16131850
Grant JE, Odlaug BL, Chamberlain SR, Schreiber LR. Neurocognitive dysfunction in strategic and non-strategic gamblers. Prog Neuro-Psychopharmacol Biol Psychiatry. 2012;38(2):336–40. https://doi.org/10.1016/j.pnpbp.2012.05.006 .
doi: 10.1016/j.pnpbp.2012.05.006
Rash CJ, Weinstock J, Van Patten R. A review of gambling disorder and substance use disorders. Subst Abuse Rehabil. 2016;7:3–13. https://doi.org/10.2147/sar.s83460 .
doi: 10.2147/sar.s83460
pubmed: 27051333
pmcid: 4803266
Ciccarelli M, Cosenza M, Griffiths MD, D’Olimpio F, Nigro G. The interplay between chasing behavior, time perspective, and gambling severity: an experimental study. J Behav Addict. 2019;8(2):259–67. https://doi.org/10.1556/2006.8.2019.29 .
doi: 10.1556/2006.8.2019.29
pubmed: 31172815
pmcid: 7044547
Donati MA, Gori C, Primi C. How can we measure gambling craving among adolescent gamblers? Psychometric properties of the Gambling Craving Scale. J Affect Disord. 2023;345:208–15. https://doi.org/10.1016/j.jad.2023.10.133 .
doi: 10.1016/j.jad.2023.10.133
pubmed: 37890536
Young MM, Wohl MJ. The Gambling Craving Scale: psychometric validation and behavioral outcomes. Psychol Addict Behav. 2009;23(3):512. https://doi.org/10.1037/a0015043 .
doi: 10.1037/a0015043
pubmed: 19769435
Young MM, Wohl MJ, Matheson K, Baumann S, Nissman H. The desire to gamble: the influence of outcomes on the priming effects of a gambling episode. J Gambl Stud. 2008;24:275–93. https://doi.org/10.1007/s10899-008-9093-9 .
doi: 10.1007/s10899-008-9093-9
pubmed: 18330680
Cosenza M, Matarazzo O, Ciccarelli M, Nigro G. Chasing the desire: an investigation on the role of craving, time perspective, and alcohol use in adolescent gambling. Addict Behav. 2020;111:106566. https://doi.org/10.1016/j.addbeh.2020.106566 .
doi: 10.1016/j.addbeh.2020.106566
pubmed: 32745945
pmcid: 7373023
Takeuchi H, Tsurumi K, Murao T, Takemura A, Kawada R, Urayama S, et al. Common and differential brain abnormalities in gambling disorder subtypes based on risk attitude. Addict Behav. 2017;69:48–54. https://doi.org/10.1016/j.addbeh.2017.01.025 .
doi: 10.1016/j.addbeh.2017.01.025
pubmed: 28131932
Piccoli T, Maniaci G, Collura G, Gagliardo C, Brancato A, La Tona G, et al. Increased functional connectivity in gambling disorder correlates with behavioural and emotional dysregulation: evidence of a role for the cerebellum. Behav Brain Res. 2020;390:112668. https://doi.org/10.1016/j.bbr.2020.112668 .
doi: 10.1016/j.bbr.2020.112668
pubmed: 32434751
Hilbrecht M, Baxter DV, Abbott M, et al. The conceptual framework of harmful gambling: a revised framework for understanding gambling harm. J Behav Addict. 2020;9(2):190–205. https://doi.org/10.1556/2006.2020.00024 .
doi: 10.1556/2006.2020.00024
pubmed: 32554839
pmcid: 8939413
Zhang K, Clark L. Loss-chasing in gambling behaviour: neurocognitive and behavioural economic perspectives. Curr Opin Behav Sci. 2020;31:1–7. https://doi.org/10.1016/j.cobeha.2019.10.006 .
doi: 10.1016/j.cobeha.2019.10.006
Cocker PJ, Winstanley CA. Animal models of gambling-related behaviour. In: Heinz A, Romanczuk-Seiferth N, Potenza M, editors. Gambling disorder. Cham: Springer; 2019. p. 101–25.
doi: 10.1007/978-3-030-03060-5_6
Wiehler A, Peters J. Reward-based decision making in pathological gambling: the roles of risk and delay. Neurosci Res. 2015;90:3–14. https://doi.org/10.1016/j.neures.2014.09.008 .
doi: 10.1016/j.neures.2014.09.008
pubmed: 25269860
Wyckmans F, Otto AR, Sebold M, Daw N, Bechara A, Saeremans M, et al. Reduced model-based decision-making in gambling disorder. Sci Rep. 2019;9(1):19625. https://doi.org/10.1038/s41598-019-56161-z .
doi: 10.1038/s41598-019-56161-z
pubmed: 31873133
pmcid: 6927960
Goudriaan AE, Oosterlaan J, De Beurs E, Van Den Brink W. Decision making in pathological gambling: a comparison between pathological gamblers, alcohol dependents, persons with Tourette syndrome, and normal controls. Cogn Brain Res. 2005;23(1):137–51. https://doi.org/10.1016/j.cogbrainres.2005.01.017 .
doi: 10.1016/j.cogbrainres.2005.01.017
Lorains F, Dowling NA, Enticott PG, et al. Strategic and non-strategic problem gamblers differ on decision-making under risk and ambiguity. Addiction. 2014;109(7):1128–37. https://doi.org/10.1111/add.12494 .
doi: 10.1111/add.12494
pubmed: 24450756
Mallorquí-Bagué N, Fagundo AB, Jimenez-Murcia S, et al. Decision making impairment: a shared vulnerability in obesity, gambling disorder and substance use disorders? PLoS One. 2016;11(9):e0163901. https://doi.org/10.1371/journal.pone.0163901 .
doi: 10.1371/journal.pone.0163901
pubmed: 27690367
pmcid: 5045161
Navas JF, Billieux J, Perandrés-Gómez A, López-Torrecillas F, Cándido A, Perales JC. Impulsivity traits and gambling cognitions associated with gambling preferences and clinical status. Int Gambl Stud. 2017;17(1):102–24. https://doi.org/10.1080/14459795.2016.1275739 .
doi: 10.1080/14459795.2016.1275739
Sharman S, Clark L, Roberts A, Michalczuk R, Cocks R, Bowden-Jones H. Heterogeneity in disordered gambling: decision-making and impulsivity in gamblers grouped by preferred form. Front Psychiatry. 2019;10:588. https://doi.org/10.3389/fpsyt.2019.00588 .
doi: 10.3389/fpsyt.2019.00588
pubmed: 31481905
pmcid: 6709538
Buelow MT, Suhr JA. Personality characteristics and state mood influence individual deck selections on the Iowa Gambling Task. Personality Individ Differ. 2013;54(5):593–7. https://doi.org/10.1016/j.paid.2012.11.019 .
doi: 10.1016/j.paid.2012.11.019
Scott SG, Bruce RA. Decision-making style: the development and assessment of a new measure. Educ Psychol Meas. 1995;55(5):818–31. https://doi.org/10.1177/0013164495055005017 .
doi: 10.1177/0013164495055005017
Cosenza M, Ciccarelli M, Nigro G. Decision-making styles, negative affectivity, and cognitive distortions in adolescent gambling. J Gambl Stud. 2019;35(2):517–31. https://doi.org/10.1007/s10899-018-9790-y .
doi: 10.1007/s10899-018-9790-y
pubmed: 29959691
Phillips JG, Ogeil RP. Decisional styles and risk of problem drinking or gambling. Pers Individ Differ. 2011;51(4):521–6. https://doi.org/10.1016/j.paid.2011.05.012.pers .
doi: 10.1016/j.paid.2011.05.012.pers
Genauck A, Andrejevic M, Brehm K, et al. Cue-induced effects on decision-making distinguish subjects with gambling disorder from healthy controls. Addict Biol. 2020;25(6):e12841. https://doi.org/10.1111/adb.12841 .
doi: 10.1111/adb.12841
pubmed: 31713984
Lesieur HR, Blume SB. The South Oaks Gambling Screen (SOGS): a new instrument for the identification of pathological gamblers. Am J Psychiatry. 1987;44(9):1184–8. https://doi.org/10.1176/ajp.144.9.1184 .
doi: 10.1176/ajp.144.9.1184
Cosenza M, Matarazzo O, Baldassarre I, Nigro G. Deciding with (or without) the future in mind: individual differences in decision-making. In: Bassis S, Esposito A, Morabito F, editors. Recent advances of neural network models and applications. Cham: Springer; 2014. p. 435–43. https://doi.org/10.1007/978-3-319-04129-2_44 .
doi: 10.1007/978-3-319-04129-2_44
Damasio AR, Tranel D, Damasio HC. Somatic markers and the guidance of behavior: theory and preliminary testing. In: Levin HS, Eisenberg HM, Benton AL, editors. Frontal lobe function and dysfunction. Oxford: Oxford University Press; 1991. p. 217–29.
doi: 10.1093/oso/9780195062847.003.0011
Bechara A. Iowa gambling task professional manual. Lutz: Psychological Assessment Resources Inc.; 2007.
Bechara A, Damasio AR, Damasio H, Anderson SW. Insensitivity to future consequences following damage to human prefrontal cortex. Cognition. 1994;50(1–3):7–15. https://doi.org/10.1016/0010-0277(94)90018-3 .
doi: 10.1016/0010-0277(94)90018-3
pubmed: 8039375
Bechara A, Damasio H. Decision-making and addiction (part I): impaired activation of somatic states in substance dependent individuals when pondering decisions with negative future consequences. Neuropsychologia. 2002;40(10):1675–89. https://doi.org/10.1016/s0028-3932(02)00015-5 .
doi: 10.1016/s0028-3932(02)00015-5
pubmed: 11992656
Gambetti E, Fabbri M, Bensi L, Tonetti L. A contribution to the Italian validation of the General Decision-making Style Inventory. Pers Individ Differ. 2008;44(4):842–52. https://doi.org/10.1016/j.paid.2007.10.017 .
doi: 10.1016/j.paid.2007.10.017
Tabachnick BG, Fidell LS. Using multivariate statistics. 7th ed. Boston: Pearson; 2019.
Ryan TP. Modern regression methods. New York: Wiley; 1997.
Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B Methodol. 1995;57(1):289–300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x .
doi: 10.1111/j.2517-6161.1995.tb02031.x
Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175–91. https://doi.org/10.3758/bf03193146 .
doi: 10.3758/bf03193146
pubmed: 17695343
Nower L, Blaszczynski A, Anthony WL. Clarifying gambling subtypes: the revised pathways model of problem gambling. Addiction. 2022;117(7):2000–8. https://doi.org/10.1111/add.15745 .
doi: 10.1111/add.15745
pubmed: 34792223
Tiffany ST, Conklin CA. A cognitive processing model of alcohol craving and compulsive alcohol use. Addiction. 2000;95(8s2):145–53 ( https://psycnet.apa.org/doi/10.1080/09652140050111717 ).
doi: 10.1046/j.1360-0443.95.8s2.3.x
pubmed: 11002909
Koban L, Wager TD, Kober H. A neuromarker for drug and food craving distinguishes drug users from non-users. Nat Neurosci. 2022;26(2):316–25. https://doi.org/10.1038/s41593-022-01228-w .
doi: 10.1038/s41593-022-01228-w
pubmed: 36536243
Linnet J. The Iowa Gambling Task and the three fallacies of dopamine in gambling disorder. Front Psychol. 2013;4:709. https://doi.org/10.3389/fpsyg.2013.00709 .
doi: 10.3389/fpsyg.2013.00709
pubmed: 24115941
pmcid: 3792697
Thunholm P. Decision-making styles and physiological correlates of negative stress: is there a relation? Scand J Psychol. 2008;49(3):213–9. https://doi.org/10.1111/j.1467-9450.2008.00640.x .
doi: 10.1111/j.1467-9450.2008.00640.x
pubmed: 18384496
Baiocco R, Laghi F, D’Alessio M. Decision-making style among adolescents: relationship with sensation seeking and locus of control. J Adolesc. 2009;32(4):963–76. https://doi.org/10.1016/j.adolescence.2008.08.003 .
doi: 10.1016/j.adolescence.2008.08.003
pubmed: 18848722
Geisler M. Relating decision-making styles to social orientation and time approach. J Behav Decis Making. 2018;31(3):415–29. https://doi.org/10.1002/bdm.2066 .
doi: 10.1002/bdm.2066
Loo R. A psychometric evaluation of the General Decision-Making Style Inventory. Pers Individ Differ. 2000;29(5):895–905. https://doi.org/10.1016/s0191-8869(99)00241-x .
doi: 10.1016/s0191-8869(99)00241-x
Bavoľár J, Orosová O. Decision-making styles and their associations with decision-making competencies and mental health. Judgm Decis Mak. 2015;10(1):115–22. https://doi.org/10.1017/s1930297500003223 .
doi: 10.1017/s1930297500003223
Brand M, Rumpf H, Demetrovics Z, King DL, Potenza MN, Wegmann E. Gaming disorder is a disorder due to addictive behaviors: evidence from behavioral and neuroscientific studies addressing cue reactivity and craving, executive functions, and decision-making. Curr Addict Rep. 2019;6(3):296–302. https://doi.org/10.1007/s40429-019-00258-y .
doi: 10.1007/s40429-019-00258-y
Dong G, Potenza MN. A cognitive-behavioral model of Internet gaming disorder: theoretical underpinnings and clinical implications. J Psychiatr Res. 2014;58:7–11. https://doi.org/10.1016/j.jpsychires.2014.07.005 .
doi: 10.1016/j.jpsychires.2014.07.005
pubmed: 25062755
pmcid: 4448942
Philander KS, Gainsbury SM. An empirical study of the pathway model link between cognitive distortions and gambling problems. J Gambl Stud. 2023;39(3):1189–205. https://doi.org/10.1007/s10899-022-10166-y .
doi: 10.1007/s10899-022-10166-y
pubmed: 36413263
Zeigarnik B. Uber das Behalten von erledigten und underledigten Handlungen. Psychol Forsch. 1927;9:1–85.
Tochkov K. The effects of anticipated regret on risk preferences of social and problem gamblers. Judgm Decis Mak. 2009;4(3):227–34. https://doi.org/10.1017/S1930297500001753 .
doi: 10.1017/S1930297500001753
Tochkov K. No regrets? Mood and the anticipation of emotions in problem gambling. Int Gambl Stud. 2012;12(1):39–53. https://doi.org/10.1080/14459795.2011.611525 .
doi: 10.1080/14459795.2011.611525
Wu Y, Kennedy D, Goshko CB, Clark L. “Should’ve known better”: counterfactual processing in disordered gambling. Addict Behav. 2021;112:106622. https://doi.org/10.1016/j.addbeh.2020.106622 .
doi: 10.1016/j.addbeh.2020.106622
pubmed: 32905866
Slutske WS, Zhu G, Meier MH, Martin NG. Disordered gambling as defined by the Diagnostic and Statistical Manual of Mental Disorders and the South Oaks Gambling Screen: evidence for a common etiologic structure. J Abnorm Psychol. 2011;120(3):743–51. https://doi.org/10.1037/a0022879 .
doi: 10.1037/a0022879
pubmed: 21443290
pmcid: 3144278
Strong DR, Lesieur HR, Breen RB, Stinchfield RD, Lejuez CW. Using a Rasch model to examine the utility of the South Oaks Gambling Screen across clinical and community samples. Addict Behav. 2004;29(3):465–81. https://doi.org/10.1016/j.addbeh.2003.08.017 .
doi: 10.1016/j.addbeh.2003.08.017
pubmed: 15050667
Velotti P, Rogier G, Beomonte Zobel S, Billieux J. Association between gambling disorder and emotion (dys)regulation: a systematic review and meta-analysis. Clin Psychol Rev. 2021;87:102037. https://doi.org/10.1016/j.cpr.2021.102037 .
doi: 10.1016/j.cpr.2021.102037
pubmed: 34022642
Zhang K, Rights JD, Deng X, Lesch T, Clark L. Between-session chasing of losses and wins in an online eCasino. J Behav Addict. 2024. https://doi.org/10.1556/2006.2024.00022 .
doi: 10.1556/2006.2024.00022
pubmed: 39088275
pmcid: 11220823
Goodie AS, MacKillop J, Miller JD, et al. Evaluating the South Oaks Gambling Screen with DSM-IV and DSM-5 criteria. Assessment. 2013;20(5):523–31. https://doi.org/10.1177/1073191113500522 .
doi: 10.1177/1073191113500522
pubmed: 23946283
pmcid: 4504425
Weatherly JN, Meier E. Studying gambling experimentally: the value of money. Anal Gambl Behav. 2007;1(2):5.