Volume 12, Issue 2 (Spring 2023)
aumj 2023, 12(2): 126-137 |
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Motevalli M S, Sepahmansoor M, Alizadehfard S, Erfani N. The Relationship between Social Cognition and Quality of Life in women with Multiple Sclerosis. aumj 2023; 12 (2) :126-137
URL: http://aums.abzums.ac.ir/article-1-1701-en.html
URL: http://aums.abzums.ac.ir/article-1-1701-en.html
1- PhD Student in Health psychology, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
2- Corresponding Author, Professor, Department of Psychology, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
3- Associate professor, Department of psychology, Payame Noor University, Tehran, Iran.
2- Corresponding Author, Professor, Department of Psychology, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
3- Associate professor, Department of psychology, Payame Noor University, Tehran, Iran.
Abstract: (919 Views)
Introduction and purpose: The Quality of Life decreases in chronic debilitating diseases such as Multiple Sclerosis, and interactions in the desired range of Social Cognition have beneficial effects in increasing the quality of life of patients. The purpose was to investigate the relationship between social cognition and quality of life in affected women.
Methods: A descriptive-analytical study of the correlation type with multiple regression analysis, in which 470 women with MS were selected from patients who were members of the Iranian MS Association in 1401 by the available sampling method, and were asked specific quality of life questionnaires for MS patients. MSIS-29 and Emotion Recognition Task (Social Cognition) responded.
Results: The average age was 38.79 ± 8.91 years old and the most common type of disease was relapsing-remitting MS (49.4%). The quality of life (Average score) was between 58 and 87. To predict the quality of life using social cognition in the last step of multiple regression, the coefficient of determination was 0.407. People who recognized the emotions of fear, anger, disgust, surprise and sadness better had a higher quality of life. There was no significant relationship between happiness and quality of life. The components of surprise, sadness, disgust and fear purely explained 40% of the changes in the quality of life.
Conclusion: Increasing social cognition in recognizing the main facial emotions increases the quality of life of people with MS.
Methods: A descriptive-analytical study of the correlation type with multiple regression analysis, in which 470 women with MS were selected from patients who were members of the Iranian MS Association in 1401 by the available sampling method, and were asked specific quality of life questionnaires for MS patients. MSIS-29 and Emotion Recognition Task (Social Cognition) responded.
Results: The average age was 38.79 ± 8.91 years old and the most common type of disease was relapsing-remitting MS (49.4%). The quality of life (Average score) was between 58 and 87. To predict the quality of life using social cognition in the last step of multiple regression, the coefficient of determination was 0.407. People who recognized the emotions of fear, anger, disgust, surprise and sadness better had a higher quality of life. There was no significant relationship between happiness and quality of life. The components of surprise, sadness, disgust and fear purely explained 40% of the changes in the quality of life.
Conclusion: Increasing social cognition in recognizing the main facial emotions increases the quality of life of people with MS.
Type of Study: Research |
Subject:
Special
Received: 2023/03/01 | Accepted: 2023/06/30 | Published: 2023/05/31
Received: 2023/03/01 | Accepted: 2023/06/30 | Published: 2023/05/31
References
1. Dobson R, Giovannoni G. Multiple sclerosis - a review. Eur J Neurol. 2019;26(1):27-40. doi:10.1111/ene.13819 [DOI:10.1111/ene.13819]
2. Abbastabar H, Bitarafan S, Mohammadpour Z, Mohammadianinejad SE, Harirchian MH. The trend of incidence, prevalence, and DALY of multiple sclerosis in the Middle East and Northern Africa region compared to global, West Europe and, Iran's corresponding values during 1990-2017: Retrieved from global burden of diseases data. Mult Scler Relat Disord. 2021;52:102949. doi:10.1016/j.msard.2021.102949 [DOI:10.1016/j.msard.2021.102949]
3. Gilmour H, Ramage-Morin PL, Wong SL. Multiple sclerosis: Prevalence and impact. Health Rep. 2018;29(1):3-8.
4. Barcaccia B. Quality of Life: Everyone Wants It, But What Is It?. 2016; Forbes/Education. Retrieved, 10.
5. Kes VB, Cengić L, Cesarik M, et al. Quality of life in patients with multiple sclerosis. Acta Clin Croat. 2013;52(1):107-111.
6. Henry A, Lannoy S, Chaunu MP, Tourbah A, Montreuil M. Social cognition and executive functioning in multiple sclerosis: A cluster-analytic approach. J Neuropsychol. 2022;16(1):97-115. doi:10.1111/jnp.12248 [DOI:10.1111/jnp.12248]
7. Xiao Guang L, Xueling Zh, QinQin L, PanWen Zh, Guo Zh J, PingLei P, Gen W, Zhong Q. Social Cognition in Multiple Sclerosis and its sub types: A meta Analysis. J MSARD. 2021;52. 102973. [DOI:10.1016/j.msard.2021.102973]
8. Phillips LH, Henry JD, Scott C, Summers F, Whyte M, Cook M. Specific impairments of emotion perception in multiple sclerosis. Neuropsychology. 2011;25(1):131-136. doi:10.1037/a0020752 [DOI:10.1037/a0020752]
9. Kurtz MM, Richardson CL. Social cognitive training for schizophrenia: a meta-analytic investigation of controlled research. Schizophr Bull. 2012;38(5):1092-1104. doi:10.1093/schbul/sbr036 [DOI:10.1093/schbul/sbr036]
10. Saxe R, Wexler A. Making sense of another mind: the role of the right temporo-parietal junction. Neuropsyc -hologia. 2005;43(10):1391-1399. doi: 10.1016 /j.neuropsychologia.2005.02.013 [DOI:10.1016/j.neuropsychologia.2005.02.013]
11. Cotter J, Firth J, Enzinger C, et al. Social cognition in multiple sclerosis: A systematic review and meta-analysis. Neurology. 2016;87(16):1727-1736. doi:10. 1212/WNL.0000000000003236 [DOI:10.1212/WNL.0000000000003236]
12. Hobart J, Lamping D, Fitzpatrick R, Riazi A, Thompson A. The Multiple Sclerosis Impact Scale (MSIS-29): a new patient-based outcome measure. Brain. 2001;124(Pt 5):962-973. doi:10.1093/brain/124.5.962 [DOI:10.1093/brain/124.5.962]
13. McGuigan C, Hutchinson M. The multiple sclerosis impact scale (MSIS-29) is a reliable and sensitive measure. J Neurol Neurosurg Psychiatry. 2004;75(2): 266-269.
14. Riazi A, Hobart JC, Lamping DL, Fitzpatrick R, Thompson AJ. Evidence-based measurement in multiple sclerosis: the psychometric properties of the physical and psychological dimensions of three quality of life rating scales. Mult Scler. 2003;9(4):411-419. doi:10.1191/1352458503ms929oa [DOI:10.1191/1352458503ms929oa]
15. Riazi A, Hobart JC, Lamping DL, Fitzpatrick R, Thompson AJ. Multiple Sclerosis Impact Scale (MSIS-29): reliability and validity in hospital based samples. J Neurol Neurosurg Psychiatry. 2002;73(6):701-704. doi:10.1136/jnnp.73.6.701 [DOI:10.1136/jnnp.73.6.701]
16. Rosti-Otajärvi E, Hämäläinen P, Wiksten A, Hakkarainen T, Ruutiainen J. Validity and reliability of the Finnish version of the Multiple Sclerosis Impact Scale-29. Brain Behav. 2017;7(7):e00725. Published 2017 May 17. doi:10.1002/brb3.725 [DOI:10.1002/brb3.725]
17. Ayatollahi P, Nafisi Sh, MSIS-29 Questionnaire in Iranian MS patients, Validity and Reliability. J TMU. 2007; 64(1): 62-8.
18. Aliakbari Dehkordi M, Bitaneh M. The Effectiveness of Psychological Capital Elements Training on Psychological Flexibility and Psychological Distress on the Women with Breast Cancer. J Health Psych. 2021; 10(2).
19. Bitaneh M, Zare H, Alizadeh Fard S, Erfani N. The Effect of Social Cognition and Interaction Training on Facial Emotion Recognition in the Elderly with Mild Cognitive Impairment. J Salmand. 2022; 302(1). [In persian]
20. Eizaguirre MB, Ciufia N, Roman MS, et al. Perceived fatigue in multiple sclerosis: The importance of highlighting its impact on quality of life, social network and cognition. Clin Neurol Neurosurg. 2020;199:106265. doi:10.1016/j.clineuro.2020.106265 [DOI:10.1016/j.clineuro.2020.106265]
21. Rosiak K, Zagożdżon P. Quality of life and social support in patients with multiple sclerosis. Jakość życia oraz wsparcie społeczne u pacjentów ze stwardnieniem rozsianym. Psychiatr Pol. 2017;51(5):923-935. doi:10.12740/PP/64709 [DOI:10.12740/PP/64709]
22. Makovski TT, Schmitz S, Zeegers MP, Stranges S, van den Akker M. Multimorbidity and quality of life: Systematic literature review and meta-analysis. Ageing Res Rev. 2019;53:100903. doi:10.1016/j.arr.2019.04.005 [DOI:10.1016/j.arr.2019.04.005]
23. Lex H, Weisenbach S, Sloane J, Syed S, Rasky E, Freidl W. Social-emotional aspects of quality of life in multiple sclerosis. Psychol Health Med. 2018;23(4):411-423. doi:10.1080/13548506.2017.1385818 [DOI:10.1080/13548506.2017.1385818]
24. Doskas T, Vavougios GD, Karampetsou P, et al. Neurocognitive impairment and social cognition in multiple sclerosis. Int J Neurosci. 2022;132(12):1229-1244. doi:10.1080/00207454.2021.1879066 [DOI:10.1080/00207454.2021.1879066]
25. Radlak B, Cooper C, Summers F, Phillips LH. Multiple sclerosis, emotion perception and social functioning. J Neuropsychol. 2021;15(3):500-515. doi:10.1111/jnp .12237 [DOI:10.1111/jnp.12237]
26. Henry A, Tourbah A, Chaunu MP, Bakchine S, Montreuil M. Social Cognition Abilities in Patients With Different Multiple Sclerosis Subtypes. J Int Neuropsychol Soc. 2017;23(8):653-664. doi:10.1017/S1355617717000510 [DOI:10.1017/S1355617717000510]
27. Henry A, Lannoy S, Chaunu MP, Tourbah A, Montreuil M. Social cognition and executive functioning in multiple sclerosis: A cluster-analytic approach. J Neuropsychol. 2022;16(1):97-115. doi:10.1111/jnp.12248 [DOI:10.1111/jnp.12248]
28. Delgado-Álvarez A, Pytel V, Delgado-Alonso C, et al. Development, Spanish Normative Data, and Validation of a Social Cognition Battery in Prodromal Alzheimer's Disease and Multiple Sclerosis. Arch Clin Neuropsychol. 2021;36(5):711-722. doi:10.1093/arclin/acaa114 [DOI:10.1093/arclin/acaa114]
29. Isernia S, Cabinio M, Pirastru A, et al. Theory of mind network in multiple Sclerosis: A double disconnection mechanism. Soc Neurosci. 2020;15(5):544-557. doi:10. 1080/17470919.2020.1766562 [DOI:10.1080/17470919.2020.1766562]
30. Labbe TP, Zurita M, Montalba C, et al. Social cognition in Multiple Sclerosis is associated to changes in brain connectivity: A resting-state fMRI study. Mult Scler Relat Disord. 2020;45:102333. doi:10.1016/j.msard. 2020.102333 [DOI:10.1016/j.msard.2020.102333]
31. Pöttgen J, Dziobek I, Reh S, Heesen C, Gold SM. Impaired social cognition in multiple sclerosis. J Neurol Neurosurg Psychiatry. 2013;84(5):523-528. doi:10.1136/ jnnp-2012-304157 [DOI:10.1136/jnnp-2012-304157]
32. Prochnow D, Donell J, Schäfer R, et al. Alexithymia and impaired facial affect recognition in multiple sclerosis. J Neurol. 2011;258(9):1683-1688. doi:10.1007/s00415-011-6002-4 [DOI:10.1007/s00415-011-6002-4]
33. Ziccardi S, Pitteri M, Genova HM, Calabrese M. Social Cognition in Multiple Sclerosis: A 3-Year Follow-Up MRI and Behavioral Study. Diagnostics (Basel). 2021; 11(3):484. Published 2021 Mar 9. doi:10.3390/ diagnostics11030484 [DOI:10.3390/diagnostics11030484]
34. Banati M, Sandor J, Mike A, et al. Social cognition and Theory of Mind in patients with relapsing-remitting multiple sclerosis. Eur J Neurol. 2010;17(3):426-433. doi:10.1111/j.1468-1331.2009.02836.x [DOI:10.1111/j.1468-1331.2009.02836.x]
35. Bora E, Özakbaş S, Velakoulis D, Walterfang M. Social Cognition in Multiple Sclerosis: a Meta-Analysis. Neuropsychol Rev. 2016;26(2):160-172. doi:10. 1007/s11065-016-9320-6 [DOI:10.1007/s11065-016-9320-6]
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