Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-25T07:09:27.577Z Has data issue: false hasContentIssue false
  • English
  • Français

A multidimensional approach to impulsivity in Parkinson's disease: measurement and structural invariance of the UPPS Impulsive Behaviour Scale

Published online by Cambridge University Press:  27 July 2016

S. Bayard ,
E. Joly ,
P. Ghisletta ,
A. Rossignol ,
Y. Herades ,
C. Geny ,
M.-C. Gély-Nargeot  and
L. Rochat
S. Bayard*
Affiliation:
Laboratoire Epsylon, EA 4556, Universités Paul Valéry, Montpellier, France
E. Joly
Affiliation:
Methodology and Data Analysis Unit, University of Geneva, Geneva, Switzerland
P. Ghisletta
Affiliation:
Methodology and Data Analysis Unit, University of Geneva, Geneva, Switzerland Distance Learning University, Sierre, Switzerland
A. Rossignol
Affiliation:
Service de Neurologie, Hôpital Gui de Chauliac, Montpellier, France
Y. Herades
Affiliation:
Consultation mémoire, CH Val d'Ariège, Foix, France
C. Geny
Affiliation:
Service de Neurologie, Hôpital Gui de Chauliac, Montpellier, France
M.-C. Gély-Nargeot
Affiliation:
Laboratoire Epsylon, EA 4556, Universités Paul Valéry, Montpellier, France
L. Rochat
Affiliation:
Cognitive Psychopathology and Neuropsychology Unit, University of Geneva, Switzerland Swiss Centre for Affective Sciences, University of Geneva, Switzerland
*
*Address for correspondence: S. Bayard, PhD, MCU, Laboratoire Epsylon, EA 4556, Universités Montpellier, Rue du Pr. Henri Serre, 34000 Montpellier, France. (Email: [email protected])
Get access Rights & Permissions [Opens in a new window]

Abstract

Background

Poor impulse control is a common feature in patients with Parkinson's disease (PD). However, before testing whether patients with PD and controls differ in impulsivity, one must assess whether impulsivity measures are invariant across groups. Consequently, we examined (a) the measurement and structural invariance of a scale assessing changes in four dimensions of impulsivity (urgency, lack of premeditation, lack of perseverance and sensation seeking) among patients with PD and controls; and (b) whether the four impulsivity traits relate differentially to risky decisions by patients.

Method

Close relatives of 78 patients with idiopathic PD and 96 control participants were given the short Urgency–Premeditation–Perseverance–Sensation seeking Impulsive Behaviour Scale (UPPS), which assesses changes in four dimensions of impulsivity. Participants also completed the Game of Dice Task (GDT), a laboratory measure of risk taking.

Results

Multigroup confirmatory factor analyses supported measurement invariance across groups, whereas structural invariance was not confirmed. Patients with PD showed greater variability and higher impulsivity than controls. Furthermore, patients with impulse control disorders (ICDs) demonstrated even greater levels of sensation seeking than patients without ICDs. Finally, lower premeditation and greater perseverance were significantly associated with greater risk taking in patients with PD, and higher agonist dopaminergic doses with less risky choices on the GDT.

Conclusions

The questionnaire appears to function comparably across patients and controls. Thus, group comparisons on the questionnaire can be considered valid. Mean differences between groups on the dimensions of impulsivity may reflect executive impairments and/or abnormal reward processing in patients with PD, which may lead to risky behaviours.

Keywords

Impulsivityimpulse control disordersmeasurement invarianceParkinson's diseaserisk takingUPPS Impulsive Behaviour Scale
Type
Original Articles
Information
Psychological Medicine , Volume 46 , Issue 14 , October 2016 , pp. 2931 - 2941
Copyright
Copyright © Cambridge University Press 2016 

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

APA (2000). Diagnostic and Statistical Manual of Mental Disorders. American Psychiatric Association: Washington, DC.Google Scholar
Arbuckle, JL (2011). IBM SPSS Amos 22 User's Guide. Amos Development Corporation, SPSS Inc.: Chicago, IL.Google Scholar
Bayard, S, Raffard, S, Gely-Nargeot, MC (2011). Do facets of self-reported impulsivity predict decision-making under ambiguity and risk? Evidence from a community sample. Psychiatry Research 190, 322–326.Google Scholar
Beck, AT, Steer, RA, Brown, GK (1998). Inventaire de Dépression de Beck. Editions du Centre de Psychologie Appliquée: Paris, France.Google Scholar
Bentivoglio, AR, Baldonero, E, Ricciardi, L, De Nigris, F, Daniele, A (2013). Neuropsychological features of patients with Parkinson's disease and impulse control disorders. Neurological Sciences 34, 1207–1213.Google Scholar
Billieux, J, Gay, P, Rochat, L, Van der Linden, M (2010). The role of urgency and its underlying psychological mechanisms in problematic behaviours. Behaviour Research and Therapy 48, 1085–1096.Google Scholar
Boller, JK, Barbe, MT, Pauls, KA, Reck, C, Brand, M, Maier, F, Fink, GR, Timmermann, L, Kalbe, E (2014). Decision-making under risk is improved by both dopaminergic medication and subthalamic stimulation in Parkinson's disease. Experimental Neurology 254, 70–77.Google Scholar
Brand, M, Kalbe, E, Labudda, K, Fujiwara, E, Kessler, J, Markowitsch, HJ (2005). Decision-making impairments in patients with pathological gambling. Psychiatry Research 133, 91–99.CrossRefGoogle ScholarPubMed
Brand, M, Labudda, K, Kalbe, E, Hilker, R, Emmans, D, Fuchs, G, Kessler, J, Markowitsch, HJ (2004). Decision-making impairments in patients with Parkinson's disease. Behavioral Neurology 15, 77–85.CrossRefGoogle ScholarPubMed
Brand, M, Labudda, K, Markowitsch, HJ (2006). Neuropsychological correlates of decision-making in ambiguous and risky situations. Neural Networks 19, 1266–1276.Google Scholar
Cloninger, CR, Svrakic, DM, Przybeck, TR (1993). A psychobiological model of temperament and character. Archives of General Psychiatry 50, 975–990.Google Scholar
Cyders, MA, Coskunpinar, A (2011). Measurement of constructs using self-report and behavioral lab tasks: is there overlap in nomothetic span and construct representation for impulsivity? Clinical Psychology Reviews 31, 965–982.Google Scholar
Diekhof, EK, Gruber, O (2010). When desire collides with reason: functional interactions between anteroventral prefrontal cortex and nucleus accumbens underlie the human ability to resist impulsive desires. Journal of Neurosciences 30, 1488–1493.Google Scholar
Emre, M, Aarsland, D, Brown, R, Burn, DJ, Duyckaerts, C, Mizuno, Y, Broe, GA, Cummings, J, Dickson, DW, Gauthier, S, Goldman, J, Goetz, C, Korczyn, A, Lees, A, Levy, R, Litvan, I, McKeith, I, Olanow, W, Poewe, W, Quinn, N, Sampaio, C, Tolosa, E, Dubois, B (2007). Clinical diagnostic criteria for dementia associated with Parkinson's disease. Movement Disorders 22, 1689–1707.Google Scholar
Enticott, PG, Ogloff, JRP (2006). Elucidation of impulsivity. Australian Psychology 41, 3–14.Google Scholar
Euteneuer, F, Schaefer, F, Stuermer, R, Boucsein, W, Timmermann, L, Barbe, MT, Ebersbach, G, Otto, J, Kessler, J, Kalbe, E (2009). Dissociation of decision-making under ambiguity and decision-making under risk in patients with Parkinson's disease: a neuropsychological and psychophysiological study. Neuropsychologia 47, 2882–2890.Google Scholar
Evans, AH, Katzenschlager, R, Paviour, D, O'Sullivan, JD, Appel, S, Lawrence, AD, Lees, AJ (2004). Punding in Parkinson's disease: its relation to the dopamine dysregulation syndrome. Movement Disorders 19, 397–405.Google Scholar
Evans, AH, Lawrence, AD, Potts, J, Appel, S, Lees, AJ (2005). Factors influencing susceptibility to compulsive dopaminergic drug use in Parkinson disease. Neurology 65, 1570–1574.Google Scholar
Fahn, S, Elton, RI and Members of the UPDRS Development Committee (1987). The Unified Parkinson's disease rating scale. In Recent Developments in Parkinson's Disease (ed. Fahn, S., Marsden, C. D., Calne, D. B., Golstein, M.), pp. 153–163. Macmillan Healthcare Information: Florham Park, NJ.Google Scholar
Fernandez, HH, Friedman, JH (1999). Punding on L-dopa. Movement Disorders 14, 836–838.3.0.CO;2-0>CrossRefGoogle ScholarPubMed
Fonoff, FC, Fonoff, ET, Barbosa, ER, Quaranta, T, Machado, RB, Andrade, DC, Teixeira, MJ, Fuentes, D (2014). Correlation between impulsivity and executive function in patients with Parkinson disease experiencing depression and anxiety symptoms. Journal of Geriatric Psychiatry and Neurology 28, 49–56.Google Scholar
Giovannoni, G, O'Sullivan, JD, Turner, K, Manson, AJ, Lees, AJ (2000). Hedonistic homeostatic dysregulation in patients with Parkinson's disease on dopamine replacement therapies. Journal of Neurology, Neurosurgery & Psychiatry 68, 423–428.Google Scholar
Goetz, CG, Tilley, BC, Shaftman, SR, Stebbins, GT, Fahn, S, Martinez-Martin, P, Poewe, W, Sampaio, C, Stern, MB, Dodel, R, Dubois, B, Holloway, R, Jankovic, J, Kulisevsky, J, Lang, AE, Lees, A, Leurgans, S, LeWitt, PA, Nyenhuis, D, Olanow, CW, Rascol, O, Schrag, A, Teresi, JA, van Hilten, JJ, LaPelle, N, Movement Disorder Society UPDRS Revision Task Force (2008). Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results. Movement Disorders 23, 2129–2170.Google Scholar
Hoehn, MM, Yahr, MD (1967). Parkinsonism: onset, progression and mortality. Neurology 17, 427–442.Google Scholar
Isaias, IU, Siri, C, Cilia, R, De Gaspari, D, Pezzoli, G, Antonini, A (2008). The relationship between impulsivity and impulse control disorders in Parkinson's disease. Movement Disorders 23, 411–415.CrossRefGoogle ScholarPubMed
Kalafat, M, Hugonot-Diener, L, Poitrenaud, J (2003). Standardisation et étalonnage française du ‘Mini Mental State’ (MMS) version Gréco. Revue de Neuropsychologie 13, 209–236.Google Scholar
Kudlicka, A, Clare, L, Hindle, JV (2011). Executive functions in Parkinson's disease: systematic review and meta-analysis. Movement Disorders 26, 2305–2315.Google Scholar
Lejoyeux, M, Tassain, V, Solomon, J, Adès, J (1997). Study of compulsive buying in depressed patients. Journal of Clinical Psychiatry 58, 169–173.Google Scholar
Lopez, R, Dauvilliers, Y, Jaussent, I, Billieux, J, Bayard, S (2015). A multidimensional approach of impulsivity in adult attention deficit hyperactivity disorder. Psychiatry Research 227, 290–295.CrossRefGoogle ScholarPubMed
Miller, JD, Flory, K, Lynam, DR, Leukefeld, C (2003). A test of the four-factor model of impulsivity-related traits. Personality and Individual Differences 34, 1403–1418.Google Scholar
Miller, JD, Lynam, D (2003). Psychopathy and the five-factor model of personality: a replication and extension. Journal of Personality Assessment 81, 168–178.Google Scholar
Nombela, C, Rittman, T, Robbins, TW, Rowe, JB (2014). Multiple modes of impulsivity in Parkinson's disease. PLoS ONE 9, e85747.Google Scholar
Obeso, I, Wilkinson, L, Casabona, E, Bringas, ML, Álvarez, M, Álvarez, L, Pavón, N, Rodríguez-Oroz, MC, Macías, R, Obeso, JA, Jahanshahi, M (2011). Deficits in inhibitory control and conflict resolution on cognitive and motor tasks in Parkinson's disease. Experimental Brain Research 212, 371–384.Google Scholar
Papay, K, Mamikonyan, E, Siderowf, AD, Duda, JE, Lyons, KE, Pahwa, R, Driver-Dunckley, ED, Adler, CH, Weintraub, D (2011). Patient versus informant reporting of ICD symptoms in Parkinson's disease using the QUIP: validity and variability. Parkinsonism and Related Disorders 17, 153–155.Google Scholar
Poletti, M, Bonuccelli, U (2012 a). Orbital and ventromedial prefrontal cortex functioning in Parkinson's disease: neuropsychological evidence. Brain and Cognition 79, 23–33.Google Scholar
Poletti, M, Bonuccelli, U (2012 b). Personality traits in patients with Parkinson's disease: assessment and clinical implications. Journal of Neurology 259, 1029–1038.Google Scholar
Raines-Eudy, R (2000). Using structural equation modeling to test for differential reliability and validity: an empirical demonstration. Structural Equation Modeling 7, 124–141.Google Scholar
Reise, SP, Widaman, KF, Pugh, RH (1993). Confirmatory factor analysis and item response theory: two approaches for exploring measurement invariance. Psychological Bulletin 114, 552–566.Google Scholar
Robert, G, Drapier, D, Verin, M, Millet, B, Azulay, JP, Blin, O (2009). Cognitive impulsivity in Parkinson's disease patients: assessment and pathophysiology. Movement Disorders 24, 2316–2327.Google Scholar
Rochat, L, Billieux, J, Juillerat Van der Linden, AC, Annoni, JM, Zekry, D, Gold, G, Van der Linden, M (2013). A multidimensional approach to impulsivity changes in mild Alzheimer's disease and control participants: cognitive correlates. Cortex 49, 90–100.Google Scholar
Rochat, L, Delbeuck, X, Billieux, J, d'Acremont, M, Van der Linden, AC, Van der Linden, M (2008). Assessing impulsivity changes in Alzheimer disease. Alzheimer Disease & Associated Disorders 22, 278–283.CrossRefGoogle ScholarPubMed
Rustamov, N, Rodriguez-Raecke, R, Timm, L, Agrawal, D, Dressler, D, Schrader, C, Tacik, P, Wegner, F, Dengler, R, Wittfoth, M, Kopp, B (2013). Absence of congruency sequence effects reveals neurocognitive inflexibility in Parkinson's disease. Neuropsychologia 51, 2976–2987.Google Scholar
Smith, GT, Fischer, S, Cyders, MA, Anus, AM, Spillane, NS, McCarthy, DM (2007). On the validity and utility of discriminating among impulsivity-like traits. Assessment 14, 155–170.Google Scholar
Tomlinson, CL, Stowe, R, Patel, S, Rick, C, Gray, R, Clarke, CE (2010). Systematic review of levodopa dose equivalency reporting in Parkinson's disease. Movement Disorders 25, 2649–2653.CrossRefGoogle ScholarPubMed
Voon, V, Fox, SH (2007). Medication-related impulse control and repetitive behaviors in Parkinson disease. Archives of Neurology 64, 1089–1096.Google Scholar
Voon, V, Hassan, K, Zurowski, M, de Souza, M, Thomsen, T, Fox, S, Lang, AE, Miyasaki, J. (2006). Prevalence of repetitive and reward-seeking behaviors in Parkinson disease. Neurology 67, 1254–1257.Google Scholar
Voon, V, Mehta, AR, Hallett, M (2011 a). Impulse control disorders in Parkinson's disease: recent advances. Current Opinion in Neurology 24, 324–330.Google Scholar
Voon, V, Sohr, M, Lang, AE, Potenza, MN, Siderowf, AD, Whetteckey, J, Weintraub, D, Wunderlich, GR, Stacy, M (2011 b). Impulse control disorders in Parkinson disease: a multicenter case-control study. Annals of Neurology 69, 986–996.Google Scholar
Weintraub, D, Koester, J, Potenza, MN, Siderowf, AD, Stacy, M, Voon, V, Whetteckey, J, Wunderlich, GR, Lang, AE (2010). Impulse control disorders in Parkinson disease: a cross-sectional study of 3090 patients. Archives of Neurology 67, 589–595.Google Scholar
Widaman, KF, Stacy, AW, Borthwick-Duffy, SA (1993). Construct validity of dimensions of adaptive behavior: a multitrait-multimethod evaluation. American Journal of Mental Retardation 98, 219–234.Google ScholarPubMed
Whiteside, SP, Lynam, DR (2001). The five factor model and impulsivity: using a structural model of personality to understand impulsivity. Personality and Individual Differences 30, 669–689.CrossRefGoogle Scholar
Ye, Z, Altena, E, Nombela, C, Housden, CR, Maxwell, H, Rittman, T, Huddleston, C, Rae, CL, Regenthal, R, Sahakian, BJ, Barker, RA, Robbins, TW, Rowe, JB (2014). Selective serotonin reuptake inhibition modulates response inhibition in Parkinson's disease. Brain 137, 1145–1155.Google Scholar
Ye, Z, Altena, E, Nombela, C, Housden, CR, Maxwell, H, Rittman, T, Huddleston, C, Rae, CL, Regenthal, R, Sahakian, BJ, Barker, RA, Robbins, TW, Rowe, JB (2015). Improving response inhibition in Parkinson's disease with atomoxetine. Biological Psychiatry 77, 740–748.Google Scholar
Yuan, KH, Bentler, PM (1998). Normal theory based test statistics in structural equation modelling. British Journal of Mathematical and Statistical Psychology 51, 289–309.Google Scholar