Impact Factor 3.532

Frontiers reaches 6.4 on Journal Impact Factors

Original Research ARTICLE

Front. Psychiatry, 03 November 2017 |

A Comparison of Treatment-Seeking Behavioral Addiction Patients with and without Parkinson’s Disease

imageAnne Sauvaget1,2, imageSusana Jiménez-Murcia1,3,4*, imageFernando Fernández-Aranda1,3,4, imageRoser Granero3,5, imageMarie Grall-Bronnec2,6,7, imageCaroline Victorri-Vigneau6,7,8, imageSamuel Bulteau6,7, imagePascal Derkinderen9,10, imageJean M. Vanelle2, imageAnders Hakansson11, imageGemma Mestre-Bach1,3, imageTrevor Steward1,3 and imageJosé M. Menchón1,4,12
  • 1Department of Psychiatry, Institut d’Investigació Biomédica de Bellvitge (IDIBELL), Bellvitge University Hospital, Barcelona, Spain
  • 2Addictology and Liaison Psychiatry Department, Nantes University Hospital, Nantes, France
  • 3CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
  • 4Department of Clinical Sciences, School of Medicine, University of Barcelona, Barcelona, Spain
  • 5Departament de Psicobiologia i Metodologia de les Ciències de la Salut, Universitat Autònoma de Barcelona, Barcelona, Spain
  • 6INSERM, SPHERE U1246, University of Nantes, Nantes, France
  • 7INSERM, SPHERE U1246, University of Tours, Nantes, France
  • 8Clinical Pharmacology Department, Centre for Evaluation and Information on Pharmacodependence, Nantes University Hospital, Nantes, France
  • 9INSERM, U913, Nantes, France
  • 10Department of Neurology, CHU Nantes, Nantes, France
  • 11Faculty of Medicine, Department of Clinical Sciences Lund, Psychiatry, Lund University, Lund, Sweden
  • 12CIBER Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain

The administration of dopaminergic medication to treat the symptoms of Parkinson’s disease (PD) is associated with addictive behaviors and impulse control disorders. Little is known, however, on how PD patients differ from other patients seeking treatments for behavioral addictions. The aim of this study was to compare the characteristics of behavioral addiction patients with and without PD. N = 2,460 treatment-seeking men diagnosed with a behavioral addiction were recruited from a university hospital. Sociodemographic, impulsivity [Barratt Impulsiveness Scale (BIS-11)], and personality [Temperament and Character Inventory-Revised (TCI-R)] measures were taken upon admission to outpatient treatment. Patients in the PD group were older and had a higher prevalence of mood disorders than patients without PD. In terms of personality characteristics and impulsivity traits, PD patients appeared to present a more functional profile than PD-free patients with a behavioral addiction. Our results suggest that PD patients with a behavioral addiction could be more difficult to detect than their PD-free counterparts in behavioral addiction clinical setting due to their reduced levels of impulsivity and more standard personality traits. As a whole, this suggests that PD patients with a behavioral addiction may have different needs from PD-free behavioral addiction patients and that they could potentially benefit from targeted interventions.


Researchers and clinicians have identified that the administration of dopaminergic medication to ameliorate the symptoms of Parkinson’s disease (PD) is associated with impulse control disorders (ICDs) (1). These disorders vary greatly in their symptomatology and include the behavioral addictions: gambling disorder, compulsive buying, and hypersexuality. Although prevalence studies are scarce, ICDs are thought to affect up to 16% of PD patients (2). Due to their clinical similarities with substance abuse disorders, many ICDs have been reclassified as behavioral addictions; and in the latest version of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), gambling disorder was moved from the category of ICD to the new category of “Substance-Related and Addictive Disorders” (3).

The majority of studies examining PD patients with behavioral addictions have been cross-sectional, thereby greatly limiting the ability to reach meaningful conclusions regarding causal factors. One recent longitudinal study examining PD patients with an ICD over a 2-year span found that the prevalence of ICD behaviors remained relatively stable across observational period and that ICD-positive patients had more severe depression and reduced quality of life (4). Studies have identified that PD patients who develop behavioral addictions tend to be younger, more impulsive, and are more likely to have a personal or family history of alcohol abuse than PD patients without behavioral addictions (5, 6). High levels of impulsivity, which is understood to be modulated by dopaminergic transmission in the ventral striatum, may represent a risk factor for the development of behavioral addictions (7). One study comparing patients with PD to healthy controls found that both male gender and higher impulsivity scores, but not dose and kind of dopaminergic medications, were associated in PD with an increased probability of ICDs (8). Likewise, another study examining impulsivity traits in drug-naïve patients found that elevated levels of attentional impulsiveness scores in PD patients screening positive for ICDs, leading the authors to suggest that these patients may possesses a subclinical pattern characterized by a reduced ability to focus on the task at hand (9). Contrastingly, the majority of studies in medicated PD patients report that, overall, PD patients tend to have lower levels of impulsivity compared to healthy controls (10). Significantly higher incidence of anhedonia and higher levels of impulsivity traits have also been found to coincide in patients with PD and an ICD, meaning that impairment of hedonic capacity coupled with higher impulsivity levels possibly might facilitate loss of control over reward-related behavior, thereby favoring the shift toward predominantly habit-based compulsive behaviors (11). Furthermore, both depression and anxiety symptoms have been found to be significantly correlated to impulsivity scores on the Barratt Impulsiveness Scale (BIS-11), indicating that PD patients with ICDs may be at higher risk for mood disorders (12).

Indeed, some authors have used the term “premorbid personality” to characterize distinctive features of PD patients’ personality traits, which are defined by a diminished desire to explore new environmental stimuli (“novelty seeking”) and higher levels of harm avoidance (10). Therefore, these patients would likely show a tendency toward inflexibility, low impulsivity levels, introspection, and cautiousness, and all this traits would remain after the manifestation of PD motor symptoms (13, 14). The few studies examining personality traits of PD patients with behavioral addictions have found that these patients are more likely to show a tendency to lie and to have higher scores on cynicism and bizarre ideation (15), as well as lower levels of agreeableness and conscientiousness (16).

Addictive behaviors in PD patients are frequently under-reported by both patients and caregivers (17). This fact poses a challenge for clinicians treating Parkinson’s patients with a behavioral addiction. To our knowledge, no studies to date have compared PD patients with behavioral addictions to PD-free patients with behavioral addictions. Clarifying the extent to which differences between these populations exist is needed to determine whether customized addiction treatment interventions are needed for PD patients. As such, the aim of the present study was to compare sociodemographic, personality, and impulsivity traits in patients seeking treatment for behavioral addictions with and without PD. By comparing behavioral addiction patients with and without PD, our findings could help make evident for behavioral addiction clinicians the key characteristics that distinguish one group from another.

Materials and Methods


A sample of 2,460 men diagnosed with a behavioral addiction from the Department of Psychiatry at Bellvitge University Hospital (Barcelona, Spain) between February 2004 and November 2014 was considered. Exclusion criteria for the study were the presence of a mental disorder, intellectual disability, or active psychotic disorder. Only men were included in our analyses due to the lack of women seeking treatment at our Unit. Patients were screened via a structured interview by experienced clinical psychologists and psychiatrists before being included in the study sample. The sample of N = 2,460 patients was classified into two groups according to the presence/absence of PD (n = 32 with PD and n = 2,428 without PD).


We evaluated the presence of behavioral addictions with the following tools: patients were diagnosed with pathological gambling if they met DSM-IV-TR criteria (18). All patient diagnoses were reassessed and recodified post hoc and only patients who met DSM-5 criteria for GD were included in our analysis (3). Compulsive buying was assessed according to McElroy et al.’s criteria (19), sexual addiction according to the sexual disorders not otherwise specified section (302.70) of the DSM-5 (3), and Internet gaming disorder according to Griffiths and Hunt (20) and DSM-5 (3) criteria.

Personality was assessed using the Temperament and Character Inventory-Revised (TCI-R) (21). This questionnaire is structured on seven primary dimension scores: four temperamental factors and three character dimensions. These different personality dimensions have demonstrated adequate reliability-validity in the Spanish population with Cronbach’s alphas between 0.77 and 0.84 (22).

Lastly, impulsivity was measured using the BIS-11 (23). This includes 30 items rated on a four-point Likert scale. The validated Spanish version of this instrument (24) was used in this study.

Additional Data

Demographic, clinical, and social/family variables were measured using a semi-structured, face-to-face clinical interview (25). Some of the variables covered were behavioral addiction duration, current pharmacological treatment, and psychiatric comorbidities.


Parkinson’s disease patients were first diagnosed by a neurologist and then derived to the Department of Psychiatry at our University Hospital in order to receive evaluation regarding behavioral addiction options. Patients individually completed the questionnaires required for this study before initiating outpatient treatment. If patients were unable to complete the evaluation on their own (e.g., due to being illiterate), these instruments were administered by a clinician. Somatic comorbidities and psychopharmacological treatments were assessed, especially in the case of dopamine replacement therapy and psychotropic drugs.

Statistical Analysis

Statistical analysis was carried out with SPSS20 for windows. Chi-square (χ2) tests compared categorical variables between patients with and without PD. Analysis of variance (ANOVA) adjusted for patients’ age and behavioral addiction subtype compared the quantitative clinical variables. The effect size for the proportions and means comparisons was estimated through Cohen’s-d coefficient, considering |d| > 0.50 to be a moderate effect size and |d| > 0.80 to be a high effective size. Bonferroni–Finner’s correction was applied to control Type-I error due to multiple statistical comparison.


Descriptive for the Sample

Table 1 displays a description of the study sample and the groups with and without PD. Significant differences were found between participants with and without PD with regards to age, employment status, and civil status (patients in the PD group were older and had a higher proportion of married subjects). Table S1 in Supplementary Material contains the prevalence of other behavioral addictions in the sample. Table S2 in Supplementary Material lists the medication being taken by the n = 32 patients diagnosed with PD. The duration of PD for this group was 7.7 years (SD = 5.5).


Table 1. Description of the sample.

Comparison of Patients with and without PD

Table 2 contains a comparison of the clinical variables between the patients with and without PD. Adjusted for the covariates age and behavioral addiction subtype, the presence of PD was associated with a lower prevalence of substances use/abuse (tobacco, alcohol, and other drugs), lower levels in impulsivity (except for on the BIS-11 motor scale) and higher levels in the personality traits of reward dependence, self-directedness, and cooperativeness. Patients with PD also presented a higher prevalence of mood disorders than patients without PD.


Table 2. Comparison between patients with and without Parkinson disorder.


This study analyzed the specific sociodemographic, impulsivity, and personality features of PD patients with addictions compared to PD-free patients with addictions. It was our aim to provide behavioral addiction clinicians with a clearer picture of the features that distinguish these two groups from each other. Regarding sociodemographic variables, age greatly differed between both groups, with older ages being found in the PD group. This finding dovetails with several studies reporting that the PD is most often found in men over 60 years of age (26). Moreover, our results are consistent with other studies supporting a higher prevalence of mood disorders in this population (27, 28). Some studies suggest that approximately 30–40% of PD patients undergo depression, evidencing a strong association between both disorders (29). Mood disorders are, in fact, one of the most characteristic non-motor manifestations of PD and they could be experienced at stage of the disease (30, 31).

Some discrepant results emerged when examining the psychological profile of PD patients. On the one hand, previous studies have reported higher novelty-seeking trait scores (understood as a greater tendency to becoming excited about unfamiliar contexts) in PD patients with comorbid behavioral addictions, mainly gambling disorder, than in PD patients without behavioral disorders (16, 32, 33). However, the significant differences found between the two groups in personality dimensions support the position that treatment-seeking patients with PD present a more functional personality profile than their PD-free counterparts. However, contrary to expectations, this study did not find significant differences between both groups in this personality dimension. On the other hand, taking the other personality dimensions into account, the significant differences found between the two groups support the position that treatment-seeking patients with PD present a more functional personality profile than their PD-free counterparts. Higher scores in reward dependence and cooperativeness would indicate that these patients are tolerant and socially empathetic, despite the interference that PD motor symptomatology may cause in their social interactions. In turn, higher self-directedness levels would allow them to have clearer life goals and adaptively orient their behavior toward them (34). These dimensions would facilitate, among other aspects, greater adherence to treatment.

Moreover, evident differences in impulsivity traits appeared when comparing both groups: the PD group with a behavioral addiction showed considerably lower attentional and non-planning impulsivity compared to PD-free patients with a behavioral addiction. Both these traits reflect an inability to wait for a reward and a rapid response style without proper premeditation, traits that are commonly seen in behavioral addictions such as gambling disorder (35). This may appear to be a stark contrast to previous studies reporting that PD patients with an ICD present higher levels of impulsivity compared to other PD patients; however, it must be noted that behavioral addiction patients are often sociodemographically very distinct from PD patients (8). Therefore, our findings suggest that PD patients with a behavioral addiction may be more difficult to identify in clinical practice, especially during the initial stages of PD. As advocated for by other researchers, careful investigation of risk behaviors is needed in routine clinical settings, as these behaviors are rarely spontaneously reported to neurologists (9).

It is especially worth highlighting that our PD patient sample with a behavioral addiction presented lower levels of substance and alcohol use/abuse compared to the PD-free group. In the case of gambling disorder, for example, one meta-analysis found that the prevalence of a substance use disorder in gamblers was 57.5% (36). Since PD patients are not widely thought to be at increased risk of substance abuse, this raises the likelihood that behavioral addictions in PD patients may risk going undetected if they are not properly screened (37). Future research should focus on the development of new treatment interventions taking this phenotype into account.


The findings of this study should be considered with certain drawbacks in mind. First, our study did not examine PD severity. Relatedly, cognition impairment was not assessed, and it has been postulated that PD patients with behavioral addictions have more severe frontal lobe dysfunction than PD patients without behavioral addictions (38, 39). Second, possibly due to higher awareness of this condition, the number of GD patients in our sample was vastly higher than the number of other behavioral addiction patients. Future research should include larger, more balanced samples so as to overcome these limitations. In this same vein, all data were collected from men who sought treatment and it significantly limits the generalizability of the present study results to women and other populations. Moreover, another issue that was not addressed in this study was whether the onset of the behavioral addiction occurred prior to- or following receiving PD diagnosis. Lastly, it would have been of interest to include a PD control group and larger sample of PD and behavioral addiction patients.

Ethics Statement

The present study was carried out in accordance with the latest version of the Declaration of Helsinki. The University Hospital of Bellvitge Ethics Committee of Clinical Research approved the study, and signed informed consent was obtained from all participants.

Author Contributions

Research project elaboration: AS, SJ-M, FF-A, and JMM; Organization: AS, GM-B, TS, and SJ-M; Execution: AS, RG, MG-B, CV-V, SB, PD, JMV, AH, GM-B, and TS; Design: SJ-M, AS, FF-A, TS, GM-B, and RG; Statistics execution: RG; Review and Critique: AS, MG-B, GM-B, TS; SJ-M, RG; Writing of the first draft: AS; Review and Critique: AS, MG-B, CV-V, SB, JMM, RG, GM-B, TS.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.


The findings described have not been published elsewhere. This work was supported by the Ministerio de Economía y Competitividad (PSI2015-68701-R), AGAUR (2009SGR1554), and Instituto de Salud Carlos III (FIS14/00290). CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn) and CIBER Salud Mental (CIBERsam) are supported by ISCIII. GM-B is supported by an AGAUR (2016FI_B 00568) predoctoral grant.

Supplementary Material

The Supplementary Material for this article can be found online at


1. Weintraub D, David AS, Evans AH, Grant JE, Stacy M. Clinical spectrum of impulse control disorders in Parkinson’s disease. Mov Disord (2015) 30:121–7. doi:10.1002/mds.26016

CrossRef Full Text | Google Scholar

2. Kim J, Kim M, Kwon DY, Seo W-K, Kim JH, Baik JS, et al. Clinical characteristics of impulse control and repetitive behavior disorders in Parkinson’s disease. J Neurol (2013) 260:429–37. doi:10.1007/s00415-012-6645-9

CrossRef Full Text | Google Scholar

3. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. Washington: American Psychiatric Association (2013).

Google Scholar

4. Antonini A, Barone P, Bonuccelli U, Annoni K, Asgharnejad M, Stanzione P. ICARUS study: prevalence and clinical features of impulse control disorders in Parkinson’s disease. J Neurol Neurosurg Psychiatry (2017) 88:317–24. doi:10.1136/jnnp-2016-315277

CrossRef Full Text | Google Scholar

5. Voon V, Thomsen T, Miyasaki JM, de Souza M, Shafro A, Fox SH, et al. Factors associated with dopaminergic drug-related pathological gambling in Parkinson disease. Arch Neurol (2007) 64:212–6. doi:10.1001/archneur.64.2.212

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Heiden P, Heinz A, Romanczuk-Seiferth N. Pathological gambling in Parkinson’s disease: what are the risk factors and what is the role of impulsivity? Eur J Neurosci (2016) 45:67–72. doi:10.1111/ejn.13396

CrossRef Full Text | Google Scholar

7. Dagher A, Robbins TW. Personality, addiction, dopamine: insights from Parkinson’s disease. Neuron (2009) 61:502–10. doi:10.1016/j.neuron.2009.01.031

CrossRef Full Text | Google Scholar

8. Isaias IU, Siri C, Cilia R, De Gaspari D, Pezzoli G, Antonini A. The relationship between impulsivity and impulse control disorders in Parkinson’s disease. Mov Disord (2008) 23:411–5. doi:10.1002/mds.21872

CrossRef Full Text | Google Scholar

9. Antonini A, Siri C, Santangelo G, Cilia R, Poletti M, Canesi M, et al. Impulsivity and compulsivity in drug-naïve patients with Parkinson’s disease. Mov Disord (2011) 26:464–8. doi:10.1002/mds.23501

CrossRef Full Text | Google Scholar

10. Santangelo G, Piscopo F, Barone P, Vitale C. Personality in Parkinson’s disease: clinical, behavioural and cognitive correlates. J Neurol Sci (2017) 374:17–25. doi:10.1016/j.jns.2017.01.013

CrossRef Full Text | Google Scholar

11. Pettorruso M, Martinotti G, Fasano A, Loria G, Di Nicola M, De Risio L, et al. Anhedonia in Parkinson’s disease patients with and without pathological gambling: a case-control study. Psychiatry Res (2013) 215:448–52. doi:10.1016/j.psychres.2013.12.013

CrossRef Full Text | Google Scholar

12. Fonoff FC, Fonoff ET, Barbosa ER, Quaranta T, Machado RB, de Andrade DC, et al. Correlation between impulsivity and executive function in patients with Parkinson disease experiencing depression and anxiety symptoms. J Geriatr Psychiatry Neurol (2015) 28:49–56. doi:10.1177/0891988714541870

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Poletti M, Bonuccelli U. Personality traits in patients with Parkinson’s disease: assessment and clinical implications. J Neurol (2012) 259:1029–38. doi:10.1007/s00415-011-6302-8

CrossRef Full Text | Google Scholar

14. Ishii T, Sawamoto N, Tabu H, Kawashima H, Okada T, Togashi K, et al. Altered striatal circuits underlie characteristic personality traits in Parkinson’s disease. J Neurol (2016) 263:1828–39. doi:10.1007/s00415-016-8206-0

CrossRef Full Text | Google Scholar

15. Brusa L, Pavino V, Massimetti MC, Ceravolo R, Stefani S, Stanzione P. Pathological gambling in Parkinson’s disease patients: dopaminergic medication or personality traits fault? J Neurol Sci (2016) 366:167–70. doi:10.1016/j.jns.2016.03.032

CrossRef Full Text | Google Scholar

16. Callesen MB, Weintraub D, Damholdt MF, Møller A. Impulsive and compulsive behaviors among Danish patients with Parkinson’s disease: prevalence, depression, and personality. Park Relat Disord (2014) 20:22–6. doi:10.1016/j.parkreldis.2013.09.006

CrossRef Full Text | Google Scholar

17. Baumann-Vogel H, Valko PO, Eisele G, Baumann CR. Impulse control disorders in Parkinson’s disease: don’t set your mind at rest by self-assessments. Eur J Neurol (2015) 22:603–9. doi:10.1111/ene.12646

CrossRef Full Text | Google Scholar

18. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR). Washington: American Psychiatric Association (2000).

Google Scholar

19. McElroy SL, Keck PE, Pope HG, Smith JM, Strakowski SM. Compulsive buying: a report of 20 cases. J Clin Psychiatry (1994) 55:242–8.

Google Scholar

20. Griffiths MD, Hunt N. Computer game playing in adolescence: prevalence and demographic indicators. J Community Appl Soc Psychol (1995) 5:189–93. doi:10.1002/casp.2450050307

CrossRef Full Text | Google Scholar

21. Cloninger CR. The Temperament and Character Inventory-Revised. St. Louis: Washington University (1999).

Google Scholar

22. Gutiérrez F, Torrens M, Boget T, Martín-Santos R, Sangorrín J, Pérez G, et al. Psychometric properties of the Temperament and Character Inventory (TCI) questionnaire in a Spanish psychiatric population. Acta Psychiatr Scand (2001) 103:143–7. doi:10.1034/j.1600-0447.2001.00183.x

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Patton JH, Stanford MS, Barratt ES. Factor structure of the Barratt Impulsiveness Scale. J Clin Psychol (1995) 51:768–74. doi:10.1002/1097-4679(199511)51:6<768

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Oquendo MA, Baca-García E, Graver R, Morales M, Montalvan V, Mann JJ. Spanish adaptation of the Barratt Impulsiveness Scale (BIS-11). Eur J Psychiatry (2001) 15:147–55.

Google Scholar

25. Jiménez-Murcia S, Aymamí-Sanromà M, Gómez-Peña M, Álvarez-Moya E, Vallejo J. Protocols de tractament cognitivoconductual pel joc patològic i d’altres addiccions no tòxiques. Barcelona, Spain: Hospital Universitari Bellvitge (2006).

Google Scholar

26. Gibbins N, Awad R, Harris S, Aymat A. The diagnosis, clinical findings and treatment options for Parkinson’s disease patients attending a tertiary referral voice clinic. J Laryngol Otol (2017) 131(4):357. doi:10.1017/S0022215117000159

CrossRef Full Text | Google Scholar

27. Brashear A, Cook JF, Hill DF, Amponsah A, Snively BM, Light L, et al. Psychiatric disorders in rapid-Onset dystonia-Parkinsonism. Neurology (2012) 79:1168–73. doi:10.1212/WNL.0b013e3182698d6

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Hesdorffer DC. Comorbidity between neurological illness and psychiatric disorders. CNS Spectr (2016) 21(3):230–8. doi:10.1017/S1092852915000929

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Khan MA, Quadri SA, Tohid H. A comprehensive overview of the neuropsychiatry of Parkinson’s disease: a review. Bull Menninger Clin (2017) 81:53–105. doi:10.1521/bumc.2017.81.1.53

CrossRef Full Text | Google Scholar

30. Toomsoo T, Randver R, Liepelt-Scarfone I, Kadastik-Eerme L, Asser T, Rubanovits I, et al. Prevalence of depressive symptoms and their association with brainstem raphe echogenicity in patients with Parkinson’s disease and non-PD controls. Psychiatry Res Neuroimaging (2017) 268:45–9. doi:10.1016/J.PSCYCHRESNS.2017.08.005

CrossRef Full Text | Google Scholar

31. Thobois S, Prange S, Sgambato-Faure V, Tremblay L, Broussolle E. Imaging the etiology of apathy, anxiety, and depression in Parkinson’s disease: implication for treatment. Curr Neurol Neurosci Rep (2017) 17:76. doi:10.1007/s11910-017-0788-0

CrossRef Full Text | Google Scholar

32. Ceravolo R, Frosini D, Rossi C, Bonuccelli U. Spectrum of addictions in Parkinson’s disease: from dopamine dysregulation syndrome to impulse control disorders. J Neurol (2010) 257(Suppl 2):S276–83. doi:10.1007/s00415-010-5715-0

CrossRef Full Text | Google Scholar

33. Djamshidian A, O’Sullivan SS, Wittmann BC, Lees AJ, Averbeck BB. Novelty seeking behaviour in Parkinson’s disease. Neuropsychologia (2011) 49:2483–8. doi:10.1016/j.neuropsychologia.2011.04.026

CrossRef Full Text | Google Scholar

34. De Fruyt F, Van De Wiele L, Van Heeringen C. Cloninger’s psychobiological model of temperament and character and the five factor model of personality. Pers Individ Dif (2000) 29:441–52. doi:10.1016/S0191-8869(99)00204-4

CrossRef Full Text | Google Scholar

35. Steward T, Mestre-Bach G, Fernández-Aranda F, Granero R, Perales JC, Navas JF, et al. Delay discounting and impulsivity traits in young and older gambling disorder patients. Addict Behav (2017) 71:96–103. doi:10.1016/J.ADDBEH.2017.03.001

CrossRef Full Text | Google Scholar

36. Lorains FK, Cowlishaw S, Thomas SA. Prevalence of comorbid disorders in problem and pathological gambling: systematic review and meta-analysis of population surveys. Addiction (2011) 106:490–8. doi:10.1111/j.1360-0443.2010.03300.x

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Willis AW, Thibault DP, Schmidt PN, Dorsey ER, Weintraub D. Hospital care for mental health and substance abuse conditions in Parkinson’s disease. Mov Disord (2016) 31:1810–9. doi:10.1002/mds.26832

CrossRef Full Text | Google Scholar

38. Santangelo G, Vitale C, Trojano L, Verde F, Grossi D, Barone P. Cognitive dysfunctions and pathological gambling in patients with Parkinson’s disease. Mov Disord (2009) 24:899–905. doi:10.1002/mds.22472

CrossRef Full Text | Google Scholar

39. Vitale C, Santangelo G, Trojano L, Verde F, Rocco M, Grossi D, et al. Comparative neuropsychological profile of pathological gambling, hypersexuality, and compulsive eating in Parkinson’s disease. Mov Disord (2011) 26:830–6. doi:10.1002/mds.23567

CrossRef Full Text | Google Scholar

Keywords: Parkinson’s disease, personality, impulsivity, behavioral addictions, gambling disorder, impulse control disorders

Citation: Sauvaget A, Jiménez-Murcia S, Fernández-Aranda F, Granero R, Grall-Bronnec M, Victorri-Vigneau C, Bulteau S, Derkinderen P, Vanelle JM, Hakansson A, Mestre-Bach G, Steward T and Menchón JM (2017) A Comparison of Treatment-Seeking Behavioral Addiction Patients with and without Parkinson’s Disease. Front. Psychiatry 8:214. doi: 10.3389/fpsyt.2017.00214

Received: 04 July 2017; Accepted: 11 October 2017;
Published: 03 November 2017

Edited by:

Roumen Kirov, Institute of Neurobiology (BAS), Bulgaria

Reviewed by:

Amilcar Silva-dos-Santos, Hospital Vila Franca de Xira, Portugal
Ana Estevez, University of Deusto, Spain
Angelo Antonini, Università degli Studi di Padova, Italy

Copyright: © 2017 Sauvaget, Jiménez-Murcia, Fernández-Aranda, Granero, Grall-Bronnec, Victorri-Vigneau, Bulteau, Derkinderen, Vanelle, Hakansson, Mestre-Bach, Steward and Menchón. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Susana Jiménez-Murcia,