Interactive Role of Reinforcement Sensitivity (BIS/BAS) and Personality Traits in Predicting the Severity of Multiple Sclerosis Disease

Authors

1 PhD of Psychology, Assistant Professor. Azarbaijan Shahid Madani University. Tabriz, Iran.

2 PhD of Cognitive Neuroscience, Assistant Professor. Azarbaijan Shahid Madani University. Tabriz, Iran.

3 MA Student of General Psychology. Azarbaijan Shahid Madani University. Tabriz, Iran.

4 Shiraz Neuroscience Research Center, Shiraz University of Medical Sciences, Shiraz, Iran; Clinical Neurology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran; Department of Neurology, Shiraz University of Medical Sciences, Shiraz, Iran

5 Shiraz Neuroscience Research Center, Shiraz University of Medical Sciences, Shiraz, Iran Clinical Neurology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran Department of Neurology, Shiraz University of Medical Sciences, Shiraz, Iran

Abstract

Introduction: Multiple sclerosis (MS) is the most common neurologic disorder in young and middle-aged individuals worldwide. This disorder can afflict any part of the Central Neural System (CNS), optic nerves, brainstem, cerebellum and the spinal cord. The present study was an attempt to investigate the interactive role of reinforcement sensitivity (BIS/BAS) and personality traits in predicting the severity of the MS disease.Methods: The study was a correlational enquiry in which 162 patients with MS were selected by purposive sampling in Shiraz, Iran. The data were collected using NEO Five Factor Inventory (NEO-FFI), Jackson-5 scale, and Expanded Disability Status Scale (EDSS) questionnaires and were finally analyzed using Pearson correlation coefficient and multiple regression.  The SPSS software version 21 (SPSS, Inc., Chicago, IL, USA) was used for the statistical analysis.Results: The results showed that indicators of personality traits (F chanch = 10.562, p < 0.01) and reinforcement sensitivity (F chanch = 1.567, p < 0.01) significantly predicted the scores of expanded disability status of the MS disease. The interaction between the indicators of personality traits and reinforcement sensitivity factors significantly increased the variance determined in the criterion variable (F chanch = 54.218; 10.214, p < 0.01).Conclusions: The results indicated that the interaction between personality traits and reinforcement sensitivity factors increases the risk of the growth of the MS disease.

Keywords

References

  1. References
  2. Herndon RM: Multiple Sclerosis: Immunology, Pathology, and Pathophysiology. Demos Medical Publishing, New York, 2003.
  3. Paparrigopoulos T, Ferentinos P, Kouzoupis A, Koutsis G, Papadimitriou GN. The neuropsychiatry of multiple sclerosis: focus on disorders of mood, affect and behaviour. Int Rev Psychiatry. 2010;22(1):14-21.
  4. Harbige LS, Sharief MK. Polyunsaturated fatty acids in the pathogenesis and treatment of multiple sclerosis. Br J Nutr. 2007;98 Suppl 1:S46-53.
  5. Harris MK, Maghzi AH, Etemadifar M, Kelley RE, Gonzalez-Toledo E, Minagar A. Acute demyelinating disorders of the central nervous system. Curr Treat Options Neurol. 2009;11(1):55-63.
  6. Mohr DC, Classen C, Barrera M Jr. The relationship between social support, depression and treatment for depression in people with multiple sclerosis. Psychol Med. 2004;34(3):533-41.
  7. Dennison L, Moss-Morris R, Chalder T. A review of psychological correlates of adjustment in patients with multiple sclerosis. Clin Psychol Rev. 2009;29(2):141-53.
  8. TrÓ§ster AI, Arnett PA. Assessment of movement and demyelinating disorders. In Snyder PJ, Nussbaum PD, Robins DL (Eds.), Clinical neuropsychology: A pocket handbook for assessment (2nd ed., pp. 243). Washington, DC: American Psychological Association, 2006.
  9. Ožura A, Sega S. Profile of depression, experienced distress and capacity for coping with stress in multiple sclerosis patients--a different perspective. Clin Neurol Neurosurg. 2013;115 Suppl 1:S12-6.
  10. Alloy LB, Abramson LY, Walshaw PD, Cogswell A, Grandin LD, Hughes ME, et al. Behavioral Approach System and Behavioral Inhibition System sensitivities and bipolar spectrum disorders: prospective prediction of bipolar mood episodes. Bipolar Disord. 2008;10(2):310-22.
  11. Zakowski S, Hall MH, Baum A. Stress, stress management, and the immune system. Appl Prev Psychol. 1992;1:1-13.
  12. Haussleiter IS, Brüne M, Juckel G. Psychopathology in multiple sclerosis: diagnosis, prevalence and treatment. Ther Adv Neurol Disord. 2009;2(1):13-29.
  13. Gray JA. The psychophysiological basis of introversion-extraversion. Behav Res Ther. 1970;8(3):249-66.
  14. Jackson CJ. Jackson-5 scales of revised reinforcement sensitivity theory (r-RST) and their application to dysfunctional real world outcomes. J Res Pers. 2009;43(4),556-69.
  15. Corr PJ. Testing problems in J.A. Gray's personality theory: a commentary on Matthews and Gilliland (1999). Pers Individ Dif. 2001;30(2):333-52.
  16. Johnson SL, Turner RJ, Iwata N. BIS/BAS levels and psychiatric disorder: an epidemiological study. J Psychopathol Behav Asses. 2003;25(1),25-36.
  17. Thomas PW, Thomas S, Hillier C, Galvin K, Baker R. Psychological interventions for multiple sclerosis. Cochrane Database Syst Rev. 2006;1(CD004431).
  18. Ozura A, Erdberg P, Sega S. Personality characteristics of multiple sclerosis patients: a Rorschach investigation. Clin Neurol Neurosurg. 2010;112(7):629-32.
  19. Matthews G, Deary IJ, Whiteman MC. Personality traits (3rd ed.). Cambridge, UK: Cambridge University Press; 2009.
  20. McCrae RR, Costa PT. A contemplated revision of the NEO five-factor inventory. Pers Individ Dif. 2004;36(3):587-96.
  21. Bruce JM, Lynch SG. Personality traits in multiple sclerosis: association with mood and anxiety disorders. J Psychosom Res. 2011;70(5):479-85.
  22. Delavar A. Research in Educational and Psychological. 4th edition. Tehran, Virayesh publication; 2005, p. 99.
  23. Garousi Farshi MT, Mehryar AH, Ghazi Tabatabaei Mahmoud. Application of the NEOP I-R test and analytic evaluation of it's characteristics and factorial structure among Iranian university students. J Humanities. 2001;11(39):173-98.
  24. Garousi Farshi MT. A new approach in personality evaluation (using factor analysis in the studies of personality). (1st ed.). Tabriz: Daniel Publishing and Research Community;2001.
  25. Hasani J, Salehi S, Rasoli Azad M. Psychometric properties of Jackson’s five factor questionnaire: Scales of revised reinforcement sensitivity theory (r-RST). RPH 2012;6(3):60-73.
  26. Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology. 1983;33(11):1444-52.
  27. Rasoulifard P, Mohammadkhani G, Farahani S, Sahraiyan M, Jalaie S, Shomeil Shushtary S. The effect of duration of multiple sclerosis and expanded disability status scale on P300. Audiology 2013;22(2):55-62.
  28. Levita L, Bois C, Healey A, Smyllie E, Papakonstantinou E, Hartley T, et al. The Behavioural Inhibition System, anxiety and hippocampal volume in a non-clinical population. Biol Mood Anxiety Disord. 2014;4(1):4.
  29. Hatamloo M, Babapour-Kheirodin J. Comparing the behavioral activation/inhibition systems and personality traits among the diabetic and non-diabetic women. Department of Clinical Psychology, Faculty of Psychology and Educational Sciences, University of Tabriz; 2014.
  30. McCrae RR, Allik IU. The five-factor model of personality across cultures. Springer Science & Business Media;2002.
  31. Fathi Ashtiani A, Dastani M. Psychological tests: personality and mental health. (9th ed.). Tehran, Besat Publications;2012.
  32. Hewig J, Hagemann D, Seifert J, Naumann E, Bartussek D. The relation of cortical activity and BIS/BAS on the trait level. Biol Psychol. 2006;71(1):42-53.
  33. Sutton SK, Davidson RJ. Prefrontal brain asymmetry: A biological substrate of the behavioral approach and inhibition systems. Psychol Sci. 1997;8(3):204-10.
  34. Davidson RJ. Affective style and affective disorders: Perspectives from affective neuroscience. Cogn Emot. 1998;12(3):307-330.
  35. Benedict RH, Priore RL, Miller C, Munschauer F, Jacobs L. Personality disorder in multiple sclerosis correlates with cognitive impairment. J Neuropsychiatry Clin Neurosci. 2001;13(1):70-6.
  36. Haas BW, Constable RT, Canli T. Stop the sadness: Neuroticism is associated with sustained medial prefrontal cortex response to emotional facial expressions. Neuroimage. 2008;42(1):385-92.
  37. DeYoung CG, Hirsh JB, Shane MS, Papademetris X, Rajeevan N, Gray JR. Testing predictions from personality neuroscience brain structure and the big five. Psychol Sci. 2010 Jun;21(6):820-8.
  38. Gray JA, McNaughton N. The Neuropsychology of Anxiety. Oxford University Press. New York. 2000, p. 72-82.
  39. Netter P. Personality and hormones. On the psychobiology of personality: Essays in honor of Marvin Zuckerman. 2004:353-77.
  40. DeYoung CG. Personality neuroscience and the biology of traits. Soc Personal Psychol Compass 2010;4(12),1165-80.
  41. Bakker AB, Van der Zee KI, Lewig KA, Dollard MF. The relationship between the Big Five personality factors and burnout: a study among volunteer counselors. J Soc Psychol. 2006;146(1):31-50.
  42. Nocentini U, Caltagirone C, Tedeschi G. Neuropsychiatric dysfunction in multiple sclerosis. Springer Science & Business Media;2012.
International Journal of Behavioral Sciences
Volume 11, Issue 2 - Serial Number 2
64
August 2017
Pages 49-54

Files

Share

How to cite

Statistics