Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-22T04:21:40.232Z Has data issue: false hasContentIssue false

Gambling, disordered gambling and their association with major depression and substance use: a web-based cohort and twin-sibling study

Published online by Cambridge University Press:  11 August 2011

C. Blanco
Affiliation:
Department of Psychiatry, New York State Psychiatric Institute/Columbia University, NY, USA
J. Myers
Affiliation:
Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
K. S. Kendler*
Affiliation:
Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, USA Department of Human and Molecular Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
*
*Address for correspondence: K. S. Kendler, M.D., Virginia Institute for Psychiatric and Behavioral Genetics of VCU, Box 980126, Richmond, VA 23298-0126, USA. (Email: [email protected])

Abstract

Background

Relatively little is known about the environmental and genetic contributions to gambling frequency and disordered gambling (DG), the full continuum of gambling-related problems that includes pathological gambling (PG).

Method

A web-based sample (n=43 799 including both members of 609 twin and 303 sibling pairs) completed assessments of number of lifetime gambling episodes, DSM-IV criteria for PG, alcohol, nicotine and caffeine intake, and nicotine dependence (ND) and DSM-III-R criteria for lifetime major depression (MD). Twin modeling was performed using Mx.

Results

In the entire cohort, symptoms of DG indexed a single dimension of liability. Symptoms of DG were weakly related to caffeine intake and moderately related to MD, consumption of cigarettes and alcohol, and ND. In twin and sibling pairs, familial resemblance for number of times gambled resulted from both familial–environmental (c2=42%) and genetic factors (a2=32%). For symptoms of DG, resemblance resulted solely from genetic factors (a2=83%). Bivariate analyses indicated a low genetic correlation between symptoms of DG and MD (ra=+0.14) whereas genetic correlations with DG symptoms were substantially higher with use of alcohol, caffeine and nicotine, and ND (ranging from +0.29 to +0.80). The results were invariant across genders.

Conclusions

Whereas gambling participation is determined by shared environmental and genetic factors, DG constitutes a single latent dimension that is largely genetically determined and more closely related to externalizing than internalizing behaviors. Because these findings are invariant across genders, they suggest that the etiological factors of DG are likely to be similar in men and women.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Akaike, H (1987). Factor analysis and AIC. Psychometrika 52, 317332.CrossRefGoogle Scholar
APA (1994). Diagnostic and Statistical Manual of Mental Disorders, 4th edn. American Psychiatric Association: Washington, DC.Google Scholar
Blanco, C, Hasin, DS, Petry, N, Stinson, FS, Grant, BF (2006). Sex differences in subclinical and DSM-IV pathological gambling: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Psychological Medicine 36, 943953.CrossRefGoogle ScholarPubMed
Blanco, C, Moreyra, P, Nunes, EV, Saiz-Ruiz, J, Ibanez, A (2001). Pathological gambling: addiction or compulsion? Seminars in Clinical Neuropsychiatry 6, 167176.CrossRefGoogle ScholarPubMed
Frascella, J, Potenza, MN, Brown, LL, Childress, AR (2010). Shared brain vulnerabilities open the way for nonsubstance addictions: carving addiction at a new joint? Annals of the New York Academy of Science 1187, 294315.CrossRefGoogle Scholar
Gerstein, DR, Volberg, RA, Toce, MT, Harwood, H, Johnson, RA, Bule, T, Christiansen, E, Chuchro, L, Cummings, W, Engelman, L, Hill, MA, Hoffmann, J, Larison, C, Murphy, SA, Palmer, A, Sinclair, S, Tucker, A (1999). Gambling Impact and Behavior Study: Report to the National Gambling Impact Study Commission. National Opinion Research Center at the University of Chicago: Chicago, IL.Google Scholar
Gosling, SD, Vazire, S, Srivastava, S, John, OP (2004). Should we trust web-based studies? A comparative analysis of six preconceptions about Internet questionnaires. American Psychologist 59, 93–104.CrossRefGoogle ScholarPubMed
Grant, JE, Kim, SW, Hartman, BK (2008). A double-blind, placebo-controlled study of the opiate antagonist naltrexone in the treatment of pathological gambling urges. Journal of Clinical Psychiatry 69, 783789.CrossRefGoogle ScholarPubMed
Heatherton, TF, Kozlowski, LT, Frecker, RC, Fagerstrom, KO (1991). The Fagerstrom Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire. British Journal of Addiction 86, 11191127.CrossRefGoogle ScholarPubMed
Hopfer, CJ, Crowley, TJ, Hewitt, JK (2003). Review of twin and adoption studies of adolescent substance use. Journal of the American Academy of Child and Adolescent Psychiatry 42, 710719.CrossRefGoogle ScholarPubMed
Ibanez, A, Blanco, C, Perez de Castro, I, Fernandez-Piqueras, J, Saiz-Ruiz, J (2003). Genetics of pathological gambling. Journal of Gambling Studies 19, 1122.CrossRefGoogle ScholarPubMed
James, JE (1997). Understanding Caffeine: A Biobehavioral Analysis. Sage Publications: Thousand Oaks, CA.Google Scholar
Karkowski, LM, Prescott, CA, Kendler, KS (2000). Multivariate assessment of factors influencing illicit substance use in twins from female-female pairs. American Journal of Medical Genetics 96, 665670.3.0.CO;2-O>CrossRefGoogle ScholarPubMed
Kendler, KS, Aggen, SH, Tambs, K, Reichborn-Kjennerud, T (2006). Illicit psychoactive substance use, abuse and dependence in a population-based sample of Norwegian twins. Psychological Medicine 36, 955962.CrossRefGoogle Scholar
Kendler, KS, Karkowski, LM, Corey, LA, Prescott, CA, Neale, MC (1999 a). Genetic and environmental risk factors in the aetiology of illicit drug initiation and subsequent misuse in women. British Journal of Psychiatry 175, 351356.CrossRefGoogle ScholarPubMed
Kendler, KS, Karkowski, LM, Neale, MC, Prescott, CA (2000). Illicit psychoactive substance use, heavy use, abuse, and dependence in a US population-based sample of male twins. Archives of General Psychiatry 57, 261269.CrossRefGoogle Scholar
Kendler, KS, Myers, JM, Potter, J, Opalesky, J (2009). A web-based study of personality, psychopathology and substance use in twin, other relative and relationship pairs. Twin Research and Human Genetics 12, 137141.CrossRefGoogle ScholarPubMed
Kendler, KS, Neale, MC, Sullivan, P, Corey, LA, Gardner, CO, Prescott, CA (1999 b). A population-based twin study in women of smoking initiation and nicotine dependence. Psychological Medicine 29, 299308.CrossRefGoogle ScholarPubMed
Kendler, KS, Pedersen, N, Johnson, L, Neale, MC, Mathe, AA (1993). A pilot Swedish twin study of affective illness, including hospital- and population-ascertained subsamples. Archives of General Psychiatry 50, 699700.CrossRefGoogle ScholarPubMed
Kendler, KS, Prescott, CA (1998). Cannabis use, abuse, and dependence in a population-based sample of female twins. American Journal of Psychiatry 155, 10161022.CrossRefGoogle Scholar
Kendler, KS, Prescott, CA (1999). Caffeine intake, tolerance, and withdrawal in women: a population-based twin study. American Journal of Psychiatry 156, 223228.CrossRefGoogle ScholarPubMed
Kendler, KS, Prescott, CA (2006). Genes, Environment, and Psychopathology: Understanding the Causes of Psychiatric and Substance Use Disorders. Guilford Press: New York.Google Scholar
Kessler, RC, Hwang, I, LaBrie, R, Petukhova, M, Sampson, NA, Winters, KC, Shaffer, HJ (2008). DSM-IV pathological gambling in the National Comorbidity Survey Replication. Psychological Medicine 38, 13511360.CrossRefGoogle ScholarPubMed
Ledgerwood, DM, Weinstock, J, Morasco, BJ, Petry, NM (2007). Clinical features and treatment prognosis of pathological gamblers with and without recent gambling-related illegal behavior. Journal of the American Academy of Psychiatry and the Law 35, 294301.Google ScholarPubMed
Lesieur, HR, Rosenthal, RJ (1998). Analysis of pathological gambling. In DSM-IV Sourcebook, Volume 4 (ed. Widiger, R. A., Frances, A. J., Pincus, H. A., Ross, R., First, M. B., Davis, D. and Kline, M.), pp. 393401. American Psychiatric Association: Washington, DC.Google Scholar
Loehlin, JC, Nichols, RC (1976). Heredity, Environment and Personality: A Study of 850 Sets of Twins. University of Texas Press: Austin, TX.Google Scholar
Morasco, BJ, Pietrzak, RH, Blanco, C, Grant, BF, Hasin, D, Petry, NM (2006). Health problems and medical utilization associated with gambling disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Psychosomatic Medicine 68, 976984.CrossRefGoogle ScholarPubMed
Neale, MC, Boker, SM, Xie, G, Maes, HH (2003). Mx: Statistical Modeling. Department of Psychiatry, Virginia Commonwealth University Medical School: Box 980126, Richmond, VA.Google Scholar
Petry, NM (2006). Should the scope of addictive behaviors be broadened to include pathological gambling? Addiction 101 (Suppl. 1), 152160.CrossRefGoogle ScholarPubMed
Petry, NM, Ammerman, Y, Bohl, J, Doersch, A, Gay, H, Kadden, R, Molina, C, Steinberg, K (2006). Cognitive-behavioral therapy for pathological gamblers. Journal of Consulting and Clinical Psychology 74, 555567.CrossRefGoogle ScholarPubMed
Petry, NM, Stinson, FS, Grant, BF (2005). Comorbidity of DSM-IV pathological gambling and other psychiatric disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Journal of Clinical Psychiatry 66, 564574.CrossRefGoogle ScholarPubMed
Phillips, DP, Welty, WR, Smith, MM (1997). Elevated suicide levels associated with legalized gambling. Suicide and Life-Threatening Behavior 27, 373378.CrossRefGoogle ScholarPubMed
Potenza, MN, Xian, H, Shah, K, Scherrer, JF, Eisen, SA (2005). Shared genetic contributions to pathological gambling and major depression in men. Archives of General Psychiatry 62, 10151021.CrossRefGoogle ScholarPubMed
Reich, T, James, JW, Morris, CA (1972). The use of multiple thresholds in determining the mode of transmission of semi-continuous traits. Annals of Human Genetics 36, 163184.CrossRefGoogle ScholarPubMed
Scherrer, JF, Xian, H, Shah, KR, Volberg, R, Slutske, W, Eisen, SA (2005). Effect of genes, environment, and lifetime co-occurring disorders on health-related quality of life in problem and pathological gamblers. Archives of General Psychiatry 62, 677683.CrossRefGoogle ScholarPubMed
Shaw, MC, Forbush, KT, Schlinder, J, Rosenman, E, Black, DW (2007). The effect of pathological gambling on families, marriages, and children. CNS Spectrums 12, 615622.CrossRefGoogle ScholarPubMed
Silventoinen, K, Magnusson, PKE, Tynelius, P, Kaprio, J, Rasmussen, F (2008). Heritability of body size and muscle strength in young adulthood: a study of one million Swedish men. Genetic Epidemiology 32, 341349.CrossRefGoogle ScholarPubMed
Slutske, WS, Eisen, S, True, WR, Lyons, MJ, Goldberg, J, Tsuang, M (2000). Common genetic vulnerability for pathological gambling and alcohol dependence in men. Archives of General Psychiatry 57, 666673.CrossRefGoogle ScholarPubMed
Slutske, WS, Eisen, S, Xian, H, True, WR, Lyons, MJ, Goldberg, J, Tsuang, M (2001). A twin study of the association between pathological gambling and antisocial personality disorder. Journal of Abnormal Psychology 110, 297308.CrossRefGoogle ScholarPubMed
Slutske, WS, Meier, MH, Zhu, G, Statham, DJ, Blaszczynski, A, Martin, NG (2009). The Australian Twin Study of Gambling (OZ-GAM): rationale, sample description, predictors of participation, and a first look at sources of individual differences in gambling involvement. Twin Research and Human Genetics 12, 6378.CrossRefGoogle Scholar
Slutske, WS, Zhu, G, Meier, MH, Martin, NG (2010). Genetic and environmental influences on disordered gambling in men and women. Archives of General Psychiatry 67, 624630.CrossRefGoogle ScholarPubMed
Stinchfield, R (2003). Reliability, validity, and classification accuracy of a measure of DSM-IV diagnostic criteria for pathological gambling. American Journal of Psychiatry 160, 180182.CrossRefGoogle ScholarPubMed
Strong, DR, Kahler, CW (2007). Evaluation of the continuum of gambling problems using the DSM-IV. Addiction 102, 713721.CrossRefGoogle ScholarPubMed
Strong, DR, Lesieur, HR, Breen, RB, Stinchfield, R, Lejuez, CW (2004). Using a Rasch model to examine the utility of the South Oaks Gambling Screen across clinical and community samples. Addictive Behaviors 29, 465481.CrossRefGoogle ScholarPubMed
Tsuang, MT, Lyons, MJ, Eisen, SA, Goldberg, J, True, W, Lin, N, Meyer, JM, Toomey, R, Faraone, SV, Eaves, L (1996). Genetic influences on DSM-III-R drug abuse and dependence: a study of 3,372 twin pairs. American Journal of Medical Genetics 67, 473477.3.0.CO;2-L>CrossRefGoogle Scholar
van den Bree, MB, Johnson, EO, Neale, MC, Pickens, RW (1998). Genetic and environmental influences on drug use and abuse/dependence in male and female twins. Drug and Alcohol Dependence 52, 231241.CrossRefGoogle ScholarPubMed
Williams, L, Holahan, P (1994). Parsimony-based fit indices for multiple-indicator models: do they work? Structural Equation Modeling 1, 161189.CrossRefGoogle Scholar
Wulfert, E, Blanchard, EB, Freidenberg, BM, Martell, RS (2006). Retaining pathological gamblers in cognitive behavior therapy through motivational enhancement: a pilot study. Behavior Modification 30, 315340.CrossRefGoogle ScholarPubMed