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Mestre-Bach G, Granero R, Fernández-Aranda F, Potenza MN, Jiménez-Murcia S. Obsessive-compulsive, harm-avoidance and persistence tendencies in patients with gambling, gaming, compulsive sexual behavior and compulsive buying-shopping disorders/concerns. Addict Behav 2023; 139:107591. [PMID: 36587418 DOI: 10.1016/j.addbeh.2022.107591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 12/13/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND AIMS There is a growing interest in determining the specific role of obsessive-compulsive features in different behavioral addictions. However, more studies comparing sizable clinical populations with different addictions are needed.Therefore, a main aim of the present study was to explore the presence of obsessive-compulsive features among people with different behavioral addictions (gambling disorder, internet gaming disorder, compulsive sexual behavior disorder and compulsive buying-shopping concerns). Through a clustering procedure, the existence of empirical clusters among treatment-seeking patients based on obsessive-compulsive measures was explored. MATERIALS AND METHODS The Symptom Checklist-Revised, and the Temperament and Character Inventory-Revised were obtained from 4,010 treatment-seeking patients. Obsessive-compulsive features were measured with the obsessive-compulsive subscale of the Symptom Checklist-Revised and the harm avoidance and persistence dimensions of the Temperament and Character Inventory-Revised. Cluster analysis was applied to explore the existence of empirical groups based on obsessive-compulsive features. RESULTS Patients with compulsive sexual behavior disorder and compulsive buying-shopping disorder reported the highest scores on the obsessive-compulsive subscale, while patients with gambling disorder showed the lowest scores on harm avoidance, and patients with internet gaming disorder the lowest scores on persistence. Two mutually exclusive clusters were identified. Cluster 1 exhibited a more maladaptive psychopathological and personality profile than cluster. DISCUSSION AND CONCLUSIONS These results provide new evidence regarding obsessive-compulsive features in specific behavioral addictions. Therapeutic approaches should consider that different addictions may present distinct levels of obsessive-compulsive features.
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Affiliation(s)
| | - Roser Granero
- Departament de Psicobiologia i Metodologia de les Ciències de la Salut, Universitat Autònoma de Barcelona, Barcelona, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Fernando Fernández-Aranda
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain; Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Marc N Potenza
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA; Child Study Center, Yale University School of Medicine, New Haven, CT, USA; Connecticut Council on Problem Gambling, Wethersfield, CT, USA; Connecticut Mental Health Center, New Haven, CT, USA; Wu Tsai Institute, Yale University School of Medicine, New Haven, CT, USA.
| | - Susana Jiménez-Murcia
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain; Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain.
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Latent Classes for the Treatment Outcomes in Women with Gambling Disorder and Buying/Shopping Disorder. J Clin Med 2022; 11:jcm11133917. [PMID: 35807202 PMCID: PMC9267407 DOI: 10.3390/jcm11133917] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 06/29/2022] [Accepted: 06/30/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND The risk for behavioral addictions is rising among women within the general population and in clinical settings. However, few studies have assessed treatment effectiveness in females. The aim of this work was to explore latent empirical classes of women with gambling disorder (GD) and buying/shopping disorder (BSD) based on the treatment outcome, as well as to identify predictors of the different empirical groups considering the sociodemographic and clinical profiles at baseline. METHOD A clinical sample of n = 318 women seeking treatment for GD (n = 221) or BSD (n = 97) participated. Age was between 21 to 77 years. RESULTS The four latent-classes solution was the optimal classification in the study. Latent class 1 (LT1, good progression to recovery) grouped patients with the best CBT outcomes (lowest risk of dropout and relapses), and it was characterized by the healthiest psychological state at baseline, the lowest scores in harm avoidance and self-transcendence, and the highest scores in reward dependence, persistence, self-directedness and cooperativeness. Latent classes 3 (LT3, bad progression to drop-out) and 4 (LT4, bad progression to relapse) grouped women with the youngest mean age, earliest onset of the addictive behaviors, and worst psychological functioning. CONCLUSIONS GD and BSD are complex conditions with multiple interactive causes and impacts, which need wide and flexible treatment plans. Specific interventions should be designed according to the specific profiles of women for achieving early inclusion, retention and well-maintained long-term effects.
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Müller A, Laskowski NM, Trotzke P, Ali K, Fassnacht DB, de Zwaan M, Brand M, Häder M, Kyrios M. Proposed diagnostic criteria for compulsive buying-shopping disorder: A Delphi expert consensus study. J Behav Addict 2021; 10:208-222. [PMID: 33852420 PMCID: PMC8996806 DOI: 10.1556/2006.2021.00013] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 11/16/2020] [Accepted: 02/14/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND AND AIMS Consensus in acknowledging compulsive buying-shopping disorder (CBSD) as a distinct diagnosis has been lacking. Before research in this area can be advanced, it is necessary to establish diagnostic criteria in order to facilitate field trials. METHODS The study consisted of the following phases: (1) operationalization of a broad range of potential diagnostic criteria for CBSD, (2) two iterative rounds of data collection using the Delphi method, where consensus of potential diagnostic criteria for CBSD was reached by an international expert panel, and (3) interpretation of findings taking into account the degree of certainty amongst experts regarding their responses. RESULTS With respect to diagnostic criteria, there was clear expert consensus about inclusion of the persistent and recurrent experience of (a) intrusive and/or irresistible urges and/or impulses and/or cravings and/or preoccupations for buying/shopping; (b) diminished control over buying/shopping; (c) excessive purchasing of items without utilizing them for their intended purposes, (d) use of buying-shopping to regulate internal states; (e) negative consequences and impairment in important areas of functioning due to buying/shopping; (f) emotional and cognitive symptoms upon cessation of excessive buying/shopping; and (g) maintenance or escalation of dysfunctional buying/shopping behaviors despite negative consequences. Furthermore, support was found for a specifier related to the presence of excessive hoarding of purchased items. CONCLUSIONS The proposed diagnostic criteria can be used as the basis for the development of diagnostic interviews and measures of CBSD severity.
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Affiliation(s)
- Astrid Müller
- 1Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hanover, Germany
| | - Nora M Laskowski
- 1Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hanover, Germany
| | - Patrick Trotzke
- 2General Psychology: Cognition and Center for Behavioral Addiction Research (CeBAR), University of Duisburg-Essen, Germany
- 3International University of Applied Sciences (IUBH), Cologne, Germany
| | - Kathina Ali
- 4College of Education, Psychology and Social Work, Flinders University, Adelaide, Australia
- 5Órama Institute for Mental Health and Wellbeing, Flinders University, Adelaide, Australia
- 6Research School of Psychology, The Australian National University, Canberra, Australia
| | - Daniel B Fassnacht
- 4College of Education, Psychology and Social Work, Flinders University, Adelaide, Australia
- 5Órama Institute for Mental Health and Wellbeing, Flinders University, Adelaide, Australia
- 6Research School of Psychology, The Australian National University, Canberra, Australia
| | - Martina de Zwaan
- 1Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hanover, Germany
| | - Matthias Brand
- 2General Psychology: Cognition and Center for Behavioral Addiction Research (CeBAR), University of Duisburg-Essen, Germany
- 7Erwin L. Hahn Institute for Magnetic Resonance Imaging, Essen, Germany
| | - Michael Häder
- 8Institute of Sociology, Technical University of Dresden, Dresden, Germany
| | - Michael Kyrios
- 4College of Education, Psychology and Social Work, Flinders University, Adelaide, Australia
- 5Órama Institute for Mental Health and Wellbeing, Flinders University, Adelaide, Australia
- 6Research School of Psychology, The Australian National University, Canberra, Australia
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Uzarska A, Czerwiński SK, Atroszko PA. Measurement of shopping addiction and its relationship with personality traits and well-being among Polish undergraduate students. CURRENT PSYCHOLOGY 2021. [DOI: 10.1007/s12144-021-01712-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
AbstractThere is still a scarcity of studies showing the relative contribution of different personality characteristics differentiating various behavioral addictions within an integrated model. In comparison to other addictions, fairly little is known about the role of specific personality traits in compulsive shopping. In addition, few studies have investigated the unique contribution of shopping addiction in terms of explaining different facets of well-being above and beyond personality characteristics previously shown to be related to psychosocial functioning. The present study shows validation of the Bergen Shopping Addiction Scale (BSAS) and a tentative integrated model of potential shopping addiction personality risk factors. BSAS was administered to 1156 Polish students. In addition, demographic variables, and personality traits (Big Five), self-esteem, self-efficacy, perceived narcissism, loneliness, social anxiety, and well-being indicators were measured. BSAS had acceptable fit with the data and demonstrated good reliability. The investigated model showed that shopping addiction was related to higher extraversion, perceived narcissism, and social anxiety, and lower agreeableness and general self-efficacy. Woman and older participants scored higher on BSAS. Shopping addiction was further related to all facets of impaired well-being and explained worse general health, and decreased sleep quality above and beyond other variables in the model. The results support the notion that shopping addiction may have specific personality risk factors with low agreeableness as an outstanding characteristic. This has implications for the development of early prevention and intervention programs.
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Estévez A, Jauregui P, Granero R, Munguía L, López-González H, Macía L, López N, Momeñe J, Corral S, Fernández-Aranda F, Agüera Z, Mena-Moreno T, Lozano-Madrid MDE, Vintró-Alcaraz C, Del Pino-Gutierrez A, Codina E, Valenciano-Mendoza E, Gómez-Peña M, Moragas L, Casalé G, Mora-Maltas B, Mestre-Bach G, Menchón JM, Jiménez-Murcia S. Buying-shopping disorder, emotion dysregulation, coping and materialism: a comparative approach with gambling patients and young people and adolescents. Int J Psychiatry Clin Pract 2020; 24:407-415. [PMID: 32643498 DOI: 10.1080/13651501.2020.1780616] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE The comorbidity between gambling disorder (GD) and buying-shopping disorder (BSD) has led to explore the core features that could be interacting between them. The main aim of this study was to examine the differences in both conditions considering emotion dysregulation, coping and materialism, as well as the relationship between these variables and their interaction with age and sex. METHODS A community sample (n = 281 adolescents) and a sample of individuals with GD (n = 31) was compared. Both samples were split into a group with BSD and a group without it. RESULTS The prevalence of participants who met the criteria for BSD was higher in the GD sample than in the community sample; the GD sample also presented higher values in the psychological variables studied. In the community sample group, positive associations were found between BSD severity and materialism and emotion dysregulation levels. In the GD sample, BSD severity was higher for participants who reported higher levels in materialism and lower scores in coping strategies. Variables impacted BSD severity differently according to sex and age covariates. CONCLUSIONS The results of the interaction of the variables could be useful to design prevention and treatment approaches addressed to specific groups of age and sex. KEY POINTS Buying-shopping disorder (BSD) has been compared in clinical and community samples. The clinical sample was constituted by Gambling disorder (GD) patients. The variables emotion dysregulation, coping and materialism have been considered. Variables impacted BSD severity differently according to sex and age covariates.
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Affiliation(s)
- Ana Estévez
- Psychology Department, University of Deusto, Bilbao, Spain
| | - Paula Jauregui
- Psychology Department, University of Deusto, Bilbao, Spain
| | - Roser Granero
- Departament de Psicobiologia i Metodologia, Universitat Autònoma de Barcelona, Barcelona, Spain.,Ciber Fisiopatologia Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Barcelona, Spain
| | - Lucero Munguía
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.,Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
| | - Hibai López-González
- Psychology Department, University of Deusto, Bilbao, Spain.,Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
| | - Laura Macía
- Psychology Department, University of Deusto, Bilbao, Spain
| | - Naiara López
- Psychology Department, University of Deusto, Bilbao, Spain
| | - Janire Momeñe
- Psychology Department, University of Deusto, Bilbao, Spain
| | - Susana Corral
- Psychology Department, University of Deusto, Bilbao, Spain
| | - Fernando Fernández-Aranda
- Ciber Fisiopatologia Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Barcelona, Spain.,Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.,Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain.,Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Zaida Agüera
- Ciber Fisiopatologia Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Barcelona, Spain.,Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain.,Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain.,Departament d'Infermeria de Salut Pública, Salut Mental i Maternoinfantil. Escola Universitària d'Infermeria. Universitat de Barcelona, Barcelona, Spain
| | - Teresa Mena-Moreno
- Ciber Fisiopatologia Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Barcelona, Spain.,Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain.,Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Maria Del Espino Lozano-Madrid
- Ciber Fisiopatologia Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Barcelona, Spain.,Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain.,Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Cristina Vintró-Alcaraz
- Ciber Fisiopatologia Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Barcelona, Spain.,Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain.,Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Amparo Del Pino-Gutierrez
- Ciber Fisiopatologia Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Barcelona, Spain.,Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain.,Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain.,Departament d'Infermeria de Salut Pública, Salut Mental i Maternoinfantil. Escola Universitària d'Infermeria. Universitat de Barcelona, Barcelona, Spain
| | - Ester Codina
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
| | | | - Mónica Gómez-Peña
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
| | - Laura Moragas
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
| | - Gemma Casalé
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
| | - Bernat Mora-Maltas
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
| | - Gemma Mestre-Bach
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain.,International University of La Rioja, Logroño, La Rioja, Spain
| | - José M Menchón
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.,Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain.,Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain.,Ciber Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain
| | - Susana Jiménez-Murcia
- Ciber Fisiopatologia Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Barcelona, Spain.,Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.,Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain.,Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
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6
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Augsburger M, Wenger A, Haug S, Achab S, Khazaal Y, Billieux J, Schaub MP. The concept of buying-shopping disorder: Comparing latent classes with a diagnostic approach for in-store and online shopping in a representative sample in Switzerland. J Behav Addict 2020; 9:808-817. [PMID: 32918801 PMCID: PMC8943656 DOI: 10.1556/2006.2020.00051] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 06/08/2020] [Accepted: 08/09/2020] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND AND AIMS Buying-shopping disorder and its transferability to the online sector is controversial. This study investigates in-store and online shopping patterns by comparing data-based modeling to a diagnostic cut-off approach. Further aims were to test model equivalence for gender and identify socio-demographic risk factors. METHODS In a representative survey, the Bergen Shopping Addiction Scale (BSAS) was applied, using both an online and in-store version. Latent class analyses were followed by multinomial logistic regression analyses to investigate socio-demographic variables. Measurement invariance across genders was tested with multi-group comparisons. RESULTS With N = 1,012, 3-class solutions provided the best model fit for both in-store and online shopping. Most individuals (76, 86%) were grouped in non-addicted classes, followed by risky (21, 11%) and addicted classes (both 3%). Twenty-eight percent of individuals in the online addicted shopping class remained unidentified using the cut-off. For online shopping, only lower age and education differentiated classes significantly. DISCUSSION Results indicate a close link between online and in-store shopping, albeit with distinguishing features. The cut-off yielded findings discrepant from class probabilities. That buying-shopping disorder mainly affects younger women of lower educational level must be questioned, given the limited associations identified. CONCLUSIONS It is important not only to consider different settings of pathological shopping, but also to focus on groups that may not have appeared at risk in previous investigations (e.g., men, older age). The BSAS cut-off warrants further research.
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Affiliation(s)
- Mareike Augsburger
- Swiss Research Institute for Public Health and Addiction ISGF at Zurich University, Konradstrasse 32, 8005, Zurich, Switzerland,Corresponding author. E-mail:
| | - Andreas Wenger
- Swiss Research Institute for Public Health and Addiction ISGF at Zurich University, Konradstrasse 32, 8005, Zurich, Switzerland
| | - Severin Haug
- Swiss Research Institute for Public Health and Addiction ISGF at Zurich University, Konradstrasse 32, 8005, Zurich, Switzerland
| | - Sophia Achab
- Specialized Facility in Behavioral Addictions ReConnecte HUG, Geneva, Switzerland,WHO Collaborating Center in Training and Research in Mental Health, UniGe, Geneva, Switzerland
| | - Yasser Khazaal
- Department of Psychiatry, Addiction Medicine, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - Joël Billieux
- Institute of Psychology, University of Lausanne, Lausanne, Switzerland
| | - Michael P. Schaub
- Swiss Research Institute for Public Health and Addiction ISGF at Zurich University, Konradstrasse 32, 8005, Zurich, Switzerland
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Challet-Bouju G, Mariez J, Perrot B, Grall-Bronnec M, Chauchard E. A Typology of Buyers Grounded in Psychological Risk Factors for Compulsive Buying (Impulsivity, Self-Esteem, and Buying Motives): Latent Class Analysis Approach ina Community Sample. Front Psychiatry 2020; 11:277. [PMID: 32372984 PMCID: PMC7186342 DOI: 10.3389/fpsyt.2020.00277] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 03/23/2020] [Indexed: 12/20/2022] Open
Abstract
Our objective was to identify meaningful subgroups of buyers based on psychological risk factors for compulsive buying. A community sample of 242 adult women fulfilled an online survey exploring buying habits and motives, impulsivity, self-esteem, and severity of compulsive buying. A latent class cluster analysis was performed. A nonproblematic cluster (28%) was characterized by low levels of impulsivity and buying motives. An intermediary cluster (51%) was characterized by higher levels of positive and negative reinforcement-related buying motives. Both clusters were characterized by a low frequency of compulsive buying (2 and 8%, respectively), but the severity of compulsive buying was higher for the intermediary cluster. A third cluster (21%) was characterized by a higher frequency of compulsive buying (43%), a higher severity of compulsive buying, a stronger feeling of losing control, and higher levels of negative urgency and coping motive. These results present similarities with the Interaction of Person-Affect-Cognition-Execution (I-PACE) model of addiction and the negative reinforcement model of drug addiction, which both postulate that negative feelings play a central role in motivating and maintaining addiction. These results also echo other typologies performed in problem gamblers and problematic videogame users. These similarities of psychological profiles with other addictive behaviors, and with common symptoms and clinical expressions, are supplementary arguments to consider conceptualizing compulsive buying as an addictive disorder.
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Affiliation(s)
- Gaëlle Challet-Bouju
- CHU Nantes, Addictology and Psychiatry Department, Nantes, France.,Université de Nantes, Université de Tours, INSERM, SPHERE U1246 "methodS in Patient-centered outcomes and HEalth ResEarch", Nantes, France
| | - Julie Mariez
- CHU Nantes, Addictology and Psychiatry Department, Nantes, France.,Université de Nantes, Laboratoire de Psychologie des Pays de la Loire, Nantes, France
| | - Bastien Perrot
- Université de Nantes, Université de Tours, INSERM, SPHERE U1246 "methodS in Patient-centered outcomes and HEalth ResEarch", Nantes, France
| | - Marie Grall-Bronnec
- CHU Nantes, Addictology and Psychiatry Department, Nantes, France.,Université de Nantes, Université de Tours, INSERM, SPHERE U1246 "methodS in Patient-centered outcomes and HEalth ResEarch", Nantes, France
| | - Emeline Chauchard
- Université de Nantes, Laboratoire de Psychologie des Pays de la Loire, Nantes, France
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8
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Vogel B, Trotzke P, Steins-Loeber S, Schäfer G, Stenger J, de Zwaan M, Brand M, Müller A. An experimental examination of cognitive processes and response inhibition in patients seeking treatment for buying-shopping disorder. PLoS One 2019; 14:e0212415. [PMID: 30840643 PMCID: PMC6402626 DOI: 10.1371/journal.pone.0212415] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 02/02/2019] [Indexed: 12/30/2022] Open
Abstract
There is an ongoing debate about whether buying-shopping disorder (BSD) should be acknowledged as a behavioral addiction. The current study investigated if mechanisms that play a prominent role in disorders due to substance use or addictive behaviors are relevant in BSD, particularly cue reactivity, craving, cognitive bias and reduced inhibitory control regarding addiction-relevant cues. The study included 39 treatment-seeking patients with BSD and 39 healthy control (HC) participants (29 women and 10 men in each group). Subjective responses toward buying/shopping-relevant visual cues were compared in patients vs. control participants. Experimental paradigms with neutral and semi-individualized buying/shopping-related pictures were administered to assess attentional bias, implicit associations and response inhibition with respect to different visual cues: Dot-probe paradigm (DPP), Implicit Association Task (IAT), Go/nogo-task (GNG). The severity of BSD, craving for buying/shopping, and symptoms of comorbid mental disorders (anxiety, depressive and hoarding disorders) were measured using standardized questionnaires. The BSD-group showed more general craving for buying/shopping, stronger subjective craving reactions towards buying/shopping-related visual cues, and more symptoms of anxiety, depression and hoarding disorder than control participants. Task performance in the DPP, IAT and GNG paradigm did not differ between the two groups. The present findings confirm previous research concerning the crucial role of craving in BSD. The assumption that attentional bias, implicit associations and deficient inhibitory control with respect to buying/shopping-related cues are relevant in BSD could not be proven. Future research should address methodological shortcomings and investigate the impact of acute psychosocial stress and present mood on craving responses, cognitive processing, and response inhibition in patients with BSD.
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Affiliation(s)
- Birte Vogel
- Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Patrick Trotzke
- Department of General Psychology: Cognition, Center for Behavioral Addiction Research (CeBAR), University Duisburg-Essen, Duisburg, Germany
| | | | - Giulia Schäfer
- Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Jana Stenger
- Department of Psychiatry, University of Basel, Basel, Switzerland
| | - Martina de Zwaan
- Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Matthias Brand
- Department of General Psychology: Cognition, Center for Behavioral Addiction Research (CeBAR), University Duisburg-Essen, Duisburg, Germany
| | - Astrid Müller
- Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hannover, Germany
- * E-mail:
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9
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Fernández-Aranda F, Granero R, Mestre-Bach G, Steward T, Müller A, Brand M, Mena-Moreno T, Vintró-Alcaraz C, del Pino-Gutiérrez A, Moragas L, Mallorquí-Bagué N, Aymamí N, Gómez-Peña M, Lozano-Madrid M, Menchón JM, Jiménez-Murcia S. Spanish validation of the pathological buying screener in patients with eating disorder and gambling disorder. J Behav Addict 2019; 8:123-134. [PMID: 30932708 PMCID: PMC7044599 DOI: 10.1556/2006.8.2019.08] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND AND AIMS Pathological buying (PB) is a behavioral addiction that presents comorbidity with several psychiatric disorders. Despite the increase in the prevalence estimates of PB, relatively few PB instruments have been developed. Our aim was to assess the psychometric properties of the Spanish version of the pathological buying screener (PBS) and to explore the associations between PB, psychopathology, and personality traits. METHODS A total of 511 participants, including gambling disorder (GD) and eating disorder (ED) patients diagnosed according to DSM-5 criteria, as well as healthy controls (HCs), took part in the study. RESULTS Higher PB prevalence was obtained in ED patients than in the other two study groups (ED 12.5% vs. 1.3% HC and 2.7% GD). Confirmatory factor analysis (CFA) verified the 13-item structure of the PBS, and indexes of convergent and discriminant capacity were estimated. CFA confirmed the structure in two factors (excessive buying behavior and loss of control) with excellent internal consistency (α = .92 and .86, respectively). Good convergent capacity was obtained with external psychopathology and personality measures (positive correlations with novelty seeking and negative associations with self-directedness and harm avoidance were found). Good discriminative capacity to differentiate between the study groups was obtained. DISCUSSION AND CONCLUSIONS This study provides support for the reliability and validity of the Spanish adaptation of the PBS. Female sex, higher impulsivity, and higher psychopathology were associated with PB.
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Affiliation(s)
- Fernando Fernández-Aranda
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain,Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain,Department of Clinical Sciences, School of Medicine, University of Barcelona, Barcelona, Spain,Corresponding authors: Susana Jiménez-Murcia, PhD; Head of Gambling Disorder Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, c/Feixa Llarga s/n, 08907 L’Hospitalet de Llobregat, Barcelona, Spain; Phone: +34 93 260 79 88; Fax: +34 93 260 76 58; E-mail: ; Fernando Fernández-Aranda, PhD; Head of ED Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, c/Feixa Llarga s/n, 08907 L’Hospitalet de Llobregat, Barcelona, Spain; Phone: +34 93 260 72 27; Fax: +34 93 260 76 58; E-mail:
| | - Roser Granero
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain,Departament de Psicobiologia i Metodologia de les Ciències de la Salut, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Gemma Mestre-Bach
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain,Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Trevor Steward
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain,Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Astrid Müller
- Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Matthias Brand
- General Psychology: Cognition and Center for Behavioral Addiction Research (CeBAR), University of Duisburg-Essen, Duisburg, Germany,Erwin L. Hahn Institute for Magnetic Resonance Imaging, Essen, Germany
| | - Teresa Mena-Moreno
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain,Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Cristina Vintró-Alcaraz
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain,Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Amparo del Pino-Gutiérrez
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain,Departament d’Infermeria de Salut Pública, Salut Mental i Maternoinfantil, Escola Universitària d’Infermeria, Universitat de Barcelona, Barcelona, Spain
| | - Laura Moragas
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
| | - Núria Mallorquí-Bagué
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain,Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Neus Aymamí
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain,Departament de Psicologia Clínica i Psicobiologia, Facultat de Psicologia, Universitat de Barcelona, Barcelona, Spain
| | - Mónica Gómez-Peña
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
| | - María Lozano-Madrid
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain,Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - José M. Menchón
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain,Department of Clinical Sciences, School of Medicine, University of Barcelona, Barcelona, Spain,CIBER Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Susana Jiménez-Murcia
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain,Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain,Department of Clinical Sciences, School of Medicine, University of Barcelona, Barcelona, Spain,Corresponding authors: Susana Jiménez-Murcia, PhD; Head of Gambling Disorder Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, c/Feixa Llarga s/n, 08907 L’Hospitalet de Llobregat, Barcelona, Spain; Phone: +34 93 260 79 88; Fax: +34 93 260 76 58; E-mail: ; Fernando Fernández-Aranda, PhD; Head of ED Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, c/Feixa Llarga s/n, 08907 L’Hospitalet de Llobregat, Barcelona, Spain; Phone: +34 93 260 72 27; Fax: +34 93 260 76 58; E-mail:
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10
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Compulsive buying in Paris psychology students: Assessment of DSM-5 personality trait domains. Psychiatry Res 2018; 267:182-186. [PMID: 29913376 DOI: 10.1016/j.psychres.2018.06.015] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Revised: 04/25/2018] [Accepted: 06/07/2018] [Indexed: 11/20/2022]
Abstract
Compulsive buying is associated with significant psychiatric comorbidity, such as personality disorders. Few studies have focused on the dimensional model of personality disorders in compulsive buying. We aimed to assess the eventual presence of personality dysfunctions in compulsive buying according to the Diagnostic and Statistical Manual of Mental Disorder, 5th edition (DSM-5) dimensional conception of personality disorders. We screened online compulsive buying (QABB), characterized purchasing behavior and explored DSM-5 personality trait domains (Personality Inventory for DSM-5-Brief Form [PID-5-BF]) in 233 Paris psychology students using an online self-reporting questionnaire. The prevalence of compulsive buying among students was 7.7% (n = 18). The favorite items purchased by compulsive buyers were clothing and cosmetic products. Three mean trait domain scores were significantly higher for CB+ than CB- students: negative affect, detachment and disinhibition. Our findings suggest that compulsive buyers distinctively feature pathological DSM-5 dimensional personality trait domains.
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11
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Underlying Mechanism of the Comorbid Presence of Buying Disorder with Gambling Disorder: A Pathways Analysis. J Gambl Stud 2018; 35:261-273. [DOI: 10.1007/s10899-018-9786-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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12
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How Compulsive Buying Is Influenced by Time Perspective—Cross-Cultural Evidence from Germany, Ukraine, and China. Int J Ment Health Addict 2018. [DOI: 10.1007/s11469-018-9942-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/16/2022] Open
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13
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Valero-Solís S, Granero R, Fernández-Aranda F, Steward T, Mestre-Bach G, Mallorquí-Bagué N, Martín-Romera V, Aymamí N, Gómez-Peña M, Del Pino-Gutiérrez A, Baño M, Moragas L, Menchón JM, Jiménez-Murcia S. The Contribution of Sex, Personality Traits, Age of Onset and Disorder Duration to Behavioral Addictions. Front Psychiatry 2018; 9:497. [PMID: 30386263 PMCID: PMC6198171 DOI: 10.3389/fpsyt.2018.00497] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Accepted: 09/21/2018] [Indexed: 12/14/2022] Open
Abstract
Background and aims: Increases in the prevalence of behavioral addictions worldwide have led to a growth in the etiological research of the specific contribution of risk/protective factors to these disorders. The objective of this study was to assess the relative role of patients' sex, age of disorder onset and disorder duration on the clinical profile of behavioral addictions. Methods: Our sample included treatment-seeking patients diagnosed with gambling disorder (GD, n = 3,174), internet gambling disorder (IGD, n = 45), compulsive buying (CB, n = 113), and sex addiction (SA, n = 34). Results: The pattern of associations between the independent variables and the outcomes were strongly related to the behavioral addiction subtype: (a) for GD-men early onset of the disorder was related to GD severity, while for GD-women early onset was linked to novelty seeking; (b) for IGD-men, late onset correlated with addiction severity, worse psychopathological state, and high harm avoidance and self-transcendence levels; (c) for CB-women, early onset was related to higher reward-dependence scores and lower self-transcendence levels, and longer duration predicted higher cumulate debts; for CB-men, early onset and long duration correlated with high scores in harm-avoidance, self-directedness, self-transcendence, and cooperativeness; and (d) for SA-men, late onset and longer duration correlated with high disorder severity. Discussion and Conclusions: These findings are relevant for developing prevention and treatment programs specific to different behavioral addictions.
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Affiliation(s)
- Susana Valero-Solís
- Departament de Psicologia Clínica i de la Salut, Autonomous University of Barcelona, Barcelona, Spain
| | - Roser Granero
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.,Departament de Psicobiologia i Metodologia, Autonomous University of Barcelona, Barcelona, Spain
| | - Fernando Fernández-Aranda
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.,Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain.,Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Trevor Steward
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.,Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
| | - Gemma Mestre-Bach
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.,Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
| | - Núria Mallorquí-Bagué
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.,Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
| | - Virginia Martín-Romera
- Departamento de Educación y Psicología, Centro Universitario Cardenal Cisneros, Universidad de Alcalá, Madrid, Spain
| | - Neus Aymamí
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
| | - Mónica Gómez-Peña
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
| | - Amparo Del Pino-Gutiérrez
- Nursing Department of Public Health, Maternal and Child Health, University of Barcelona, Barcelona, Spain
| | - Marta Baño
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
| | - Laura Moragas
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
| | - José M Menchón
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain.,Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain.,CIBER Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Susana Jiménez-Murcia
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.,Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain.,Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
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14
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Goursot C, Düpjan S, Tuchscherer A, Puppe B, Leliveld LMC. Behavioural lateralization in domestic pigs (Sus scrofa)-variations between motor functions and individuals. Laterality 2017; 23:576-598. [PMID: 29191074 DOI: 10.1080/1357650x.2017.1410555] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Motor lateralization is hypothesized to depend on the complexity of the motor function, but it might at the same time reflect hemispheric dominance within an individual across motor functions. We investigated possible motor lateralization patterns in four motor functions of different complexity (snout use in a manipulative task, foot use in two-stepping tasks and tail curling) in the domestic pig, a tetrapod species relevant as farm animal but also as a model in human neuroscience. A significant majority of our sample showed individual biases for manipulation with their snout and for curling their tail. Interestingly, the tail curling was lateralized towards the right at the population level and showed stronger lateralization patterns than the snout. Using a cluster analysis with combined tail and snout laterality, we identified groups of individuals with different lateralization patterns across motor functions that potentially reflect the individuals' hemispheric dominance. To conclude, our results suggest that pigs show lateralization patterns that depend on the motor function and on the individual. Such individual lateralization patterns might have broader implications for animal personality and welfare. Our study lays the methodological groundwork for future research on laterality in pigs.
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Affiliation(s)
- Charlotte Goursot
- a Institute of Behavioural Physiology , Leibniz Institute for Farm Animal Biology (FBN) , Dummerstorf , Germany
| | - Sandra Düpjan
- a Institute of Behavioural Physiology , Leibniz Institute for Farm Animal Biology (FBN) , Dummerstorf , Germany
| | - Armin Tuchscherer
- b Institute of Genetics and Biometry , Leibniz Institute for Farm Animal Biology (FBN) , Dummerstorf , Germany
| | - Birger Puppe
- a Institute of Behavioural Physiology , Leibniz Institute for Farm Animal Biology (FBN) , Dummerstorf , Germany.,c Behavioural Sciences, Faculty of Agricultural and Environmental Sciences , University of Rostock , Rostock , Germany
| | - Lisette M C Leliveld
- a Institute of Behavioural Physiology , Leibniz Institute for Farm Animal Biology (FBN) , Dummerstorf , Germany
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15
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Mestre-Bach G, Steward T, Jiménez-Murcia S, Fernández-Aranda F. Differences and Similarities Between Compulsive Buying and Other Addictive Behaviors. CURRENT ADDICTION REPORTS 2017. [DOI: 10.1007/s40429-017-0153-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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16
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Resisting Temptation: Is Compulsive Buying an Expression of Personality Deficits? CURRENT ADDICTION REPORTS 2017. [DOI: 10.1007/s40429-017-0152-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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17
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Müller A, Mitchell JE, Vogel B, de Zwaan M. New Assessment Tools for Buying Disorder. CURRENT ADDICTION REPORTS 2017. [DOI: 10.1007/s40429-017-0161-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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18
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Jiménez-Murcia S, Granero R, Wolz I, Baño M, Mestre-Bach G, Steward T, Agüera Z, Hinney A, Diéguez C, Casanueva FF, Gearhardt AN, Hakansson A, Menchón JM, Fernández-Aranda F. Food Addiction in Gambling Disorder: Frequency and Clinical Outcomes. Front Psychol 2017; 8:473. [PMID: 28421009 PMCID: PMC5378803 DOI: 10.3389/fpsyg.2017.00473] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Accepted: 03/14/2017] [Indexed: 01/08/2023] Open
Abstract
Background: The food addiction (FA) model is receiving increasing interest from the scientific community. Available empirical evidence suggests that this condition may play an important role in the development and course of physical and mental health conditions such as obesity, eating disorders, and other addictive behaviors. However, no epidemiological data exist on the comorbidity of FA and gambling disorder (GD), or on the phenotype for the co-occurrence of GD+FA. Objectives: To determine the frequency of the comorbid condition GD+FA, to assess whether this comorbidity features a unique clinical profile compared to GD without FA, and to generate predictive models for the presence of FA in a GD sample. Method: Data correspond to N = 458 treatment-seeking patients who met criteria for GD in a hospital unit specialized in behavioral addictions. Results: Point prevalence for FA diagnosis was 9.2%. A higher ratio of FA was found in women (30.5%) compared to men (6.0%). Lower FA prevalence was associated with older age. Patients with high FA scores were characterized by worse psychological state, and the risk of a FA diagnosis was increased in patients with high scores in the personality traits harm avoidance and self-transcendence, and low scores in cooperativeness (R2 = 0.18). Conclusion: The co-occurrence of FA in treatment-seeking GD patients is related to poorer emotional and psychological states. GD treatment interventions and related behavioral addictions should consider potential associations with problematic eating behavior and aim to include techniques that aid patients in better managing this behavior.
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Affiliation(s)
- Susana Jiménez-Murcia
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELLBarcelona, Spain.,Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos IIIBarcelona, Spain.,Department of Clinical Sciences, Faculty of Medicine, University of BarcelonaBarcelona, Spain
| | - Roser Granero
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos IIIBarcelona, Spain.,Departament de Psicobiologia i Metodologia de les Ciències de la Salut, Universitat Autònoma de BarcelonaBarcelona, Spain
| | - Ines Wolz
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELLBarcelona, Spain.,Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos IIIBarcelona, Spain
| | - Marta Baño
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELLBarcelona, Spain
| | - Gemma Mestre-Bach
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELLBarcelona, Spain.,Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos IIIBarcelona, Spain
| | - Trevor Steward
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELLBarcelona, Spain.,Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos IIIBarcelona, Spain
| | - Zaida Agüera
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELLBarcelona, Spain.,Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos IIIBarcelona, Spain
| | - Anke Hinney
- Department of Child and Adolescent Psychiatry, University Hospital Essen, University of Duisburg-EssenEssen, Germany
| | - Carlos Diéguez
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos IIIBarcelona, Spain.,Department of Physiology, Centro Singular de Investigación en Medicina Molecular y Enfermedades Crónicas, University of Santiago de Compostela-Instituto de Investigación SanitariaSantiago de Compostela, Spain
| | - Felipe F Casanueva
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos IIIBarcelona, Spain.,Laboratory of Molecular and Cellular Endocrinology, Research Area, Complejo Hospitalario Universitario de Santiago de CompostelaSantiago de Compostela, Spain
| | | | - Anders Hakansson
- Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, PsychiatryLund, Sweden
| | - José M Menchón
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELLBarcelona, Spain.,Department of Clinical Sciences, Faculty of Medicine, University of BarcelonaBarcelona, Spain.,Ciber Salud Mental (CIBERSAM), Instituto Carlos IIIBarcelona, Spain
| | - Fernando Fernández-Aranda
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELLBarcelona, Spain.,Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos IIIBarcelona, Spain.,Department of Clinical Sciences, Faculty of Medicine, University of BarcelonaBarcelona, Spain
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Granero R, Fernández-Aranda F, Steward T, Mestre-Bach G, Baño M, Del Pino-Gutiérrez A, Moragas L, Aymamí N, Gómez-Peña M, Mallorquí-Bagué N, Tárrega S, Menchón JM, Jiménez-Murcia S. Compulsive Buying Behavior: Characteristics of Comorbidity with Gambling Disorder. Front Psychol 2016; 7:625. [PMID: 27199853 PMCID: PMC4850691 DOI: 10.3389/fpsyg.2016.00625] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2016] [Accepted: 04/14/2016] [Indexed: 01/03/2023] Open
Abstract
Compulsive buying behavior (CBB) has begun to be recognized as a condition worthy of attention by clinicians and researchers. Studies on the commonalities between CBB and other behavioral addictions such as gambling disorder (GD) exist in the literature, but additional research is needed to assess the frequency and clinical relevance of the comorbidity of CBB and GD. The aim of the study was to estimate the point-prevalence of CBB+GD in a clinical setting. Data corresponded to n = 3221 treatment-seeking patients who met criteria for CBB or GD at a public hospital unit specialized in treating behavioral addictions. Three groups were compared: only-CBB (n = 127), only-GD (n = 3118) and comorbid CBB+GD (n = 24). Prevalence for the co-occurrence of CBB+GD was 0.75%. In the stratum of patients with GD, GD+CBB comorbidity obtained relatively low point prevalence (0.77%), while in the subsample of CBB patients the estimated prevalence of comorbid GD was relatively high (18.9%). CBB+GD comorbidity was characterized by lower prevalence of single patients, higher risk of other behavioral addictions (sex, gaming or internet), older age and age of onset. CBB+GD registered a higher proportion of women compared to only-GD (37.5 vs. 10.0%) but a higher proportion of men compared to only-CBB (62.5 vs. 24.4%). Compared to only-GD patients, the simultaneous presence of CBB+GD was associated with increased psychopathology and dysfunctional levels of harm avoidance. This study provides empirical evidence to better understand CBB, GD and their co-occurrence. Future research should help delineate the processes through which people acquire and develop this comorbidity.
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Affiliation(s)
- Roser Granero
- Ciber Fisiopatología Obesidad y Nutrición, Instituto de Salud Carlos IIIBarcelona, Spain; Departament de Psicobiologia i Metodologia de les Ciències de la Salut, Universitat Autònoma de BarcelonaBarcelona, Spain
| | - Fernando Fernández-Aranda
- Ciber Fisiopatología Obesidad y Nutrición, Instituto de Salud Carlos IIIBarcelona, Spain; Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELLBarcelona, Spain
| | - Trevor Steward
- Ciber Fisiopatología Obesidad y Nutrición, Instituto de Salud Carlos IIIBarcelona, Spain; Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELLBarcelona, Spain
| | - Gemma Mestre-Bach
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL Barcelona, Spain
| | - Marta Baño
- Ciber Fisiopatología Obesidad y Nutrición, Instituto de Salud Carlos IIIBarcelona, Spain; Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELLBarcelona, Spain
| | - Amparo Del Pino-Gutiérrez
- Nursing Department of Mental Health, Public Health, Maternal and Child Health, Nursing School, University of Barcelona Barcelona, Spain
| | - Laura Moragas
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL Barcelona, Spain
| | - Neus Aymamí
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL Barcelona, Spain
| | - Mónica Gómez-Peña
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL Barcelona, Spain
| | - Núria Mallorquí-Bagué
- Ciber Fisiopatología Obesidad y Nutrición, Instituto de Salud Carlos IIIBarcelona, Spain; Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELLBarcelona, Spain
| | - Salomé Tárrega
- Departament de Psicobiologia i Metodologia de les Ciències de la Salut, Universitat Autònoma de Barcelona Barcelona, Spain
| | - José M Menchón
- Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELLBarcelona, Spain; Ciber de Salud Mental, Instituto de Salud Carlos IIIBarcelona, Spain
| | - Susana Jiménez-Murcia
- Ciber Fisiopatología Obesidad y Nutrición, Instituto de Salud Carlos IIIBarcelona, Spain; Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELLBarcelona, Spain
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