Volume 6, Issue 2 (2021)
IJMPP 2021, 6(2): 480-486 |
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Taherizadeh S, Samari A A, Ahi Q. Chronic Musculoskeletal Pain Adaptation in Relationship with Inhabitation Behavioral System, Activation Behavioral System and Perceived Social Support. IJMPP 2021; 6 (2) :480-486
URL: http://ijmpp.modares.ac.ir/article-32-50583-en.html
URL: http://ijmpp.modares.ac.ir/article-32-50583-en.html
1- Department of Psychology, Torbat-e Jam Branch, Islamic Azad University, Torbat-e Jam, Iran
2- Department of Psychology, Kashmar Branch, Islamic Azad University, Kashmar, Iran ,aasamari87@gmail.com
3- Department of Psychology, Birjand Branch, Islamic Azad University, Birjand, Iran
2- Department of Psychology, Kashmar Branch, Islamic Azad University, Kashmar, Iran ,
3- Department of Psychology, Birjand Branch, Islamic Azad University, Birjand, Iran
Abstract: (1481 Views)
Aim: The aim of this study was to predict the chronic musculoskeletal pain adaptation to according inhabitation behavioral systems, activation behavioral systems and perceived social support.
Method and Materials: In this descriptive correlational study, 270 patients with chronic musculoskeletal pain assessed with Illness Social-Psychosocial Adjustment Scale, Multidimensional Perceived Social Support Scale, and Wilson & Gary Brain Behavioral Systems Questionnaire. Data were analyzed by SPSS 20 statistical software using regression statistical method.
Findings: Findings revealed the behavioral inhibition system predicts pain adaptation scores positively and the behavioral activation system predicts pain adaptation scores negatively. Perception of social support in three dimensions of family, friends, and important individuals could negatively predict 42% of the variance of pain adaptation.
Conclusion: This study showed there is a relationship between behavioral brain systems and perceived social support with pain adaptation. Therefore, it can be concluded that perceived social support and behavioral brain systems predict pain adaptation
Method and Materials: In this descriptive correlational study, 270 patients with chronic musculoskeletal pain assessed with Illness Social-Psychosocial Adjustment Scale, Multidimensional Perceived Social Support Scale, and Wilson & Gary Brain Behavioral Systems Questionnaire. Data were analyzed by SPSS 20 statistical software using regression statistical method.
Findings: Findings revealed the behavioral inhibition system predicts pain adaptation scores positively and the behavioral activation system predicts pain adaptation scores negatively. Perception of social support in three dimensions of family, friends, and important individuals could negatively predict 42% of the variance of pain adaptation.
Conclusion: This study showed there is a relationship between behavioral brain systems and perceived social support with pain adaptation. Therefore, it can be concluded that perceived social support and behavioral brain systems predict pain adaptation
Keywords: Pain Adaptation, Perceived Social Support, Behavioral Activation System, Behavioral Inhibition System
Article Type: Original Research |
Subject:
Physical Therapy and Rehabilitation
Received: 2021/03/1 | Accepted: 2021/04/10 | Published: 2021/04/30
Received: 2021/03/1 | Accepted: 2021/04/10 | Published: 2021/04/30
References
1. Loeser JD, Treede R-D. The Kyoto protocol of IASP basic pain Terminology. Pain. 2008;137(3):473- 7. [DOI:10.1016/j.pain.2008.04.025]
2. Heydari M, Erfanpoor S, Jalilian H, Afshari D, Banafshe E, Emkani M. The Prevalence of Musculoskeletal Disorders and its Relation with Fatigue and Occupational Burnout in the Staff of a Petrochemical Industry. Health Develop J. 2019; 8 (3) :234-245
3. Souza JB, Grossmann E, Perissinotti DM, Oliveira Junior JO, Fonseca PR, Posso ID. Prevalence of chronic pain, treatments, perception, and interference on life activities: Brazilian population-based survey. Pain Res Manag. 2017. [DOI:10.1155/2017/4643830]
4. Baldridge S, Wallace L, Kadakia A. The epidemiology of outpatient pain treatment in pediatrics. J Pain Res. 2018; 11: 921-913. [DOI:10.2147/JPR.S158520]
5. Vitaloni M, Botto-van Bemden A, Contreras RMS, Scotton D, Bibas M, Quintero M, et al. Global management of patients with knee osteoarthritis begins with quality of life assessment: a systematic review. BMC Musculoskelet Disord. 2019;20(1):493. [DOI:10.1186/s12891-019-2895-3]
6. Li Q, Dai W, Zhong Y, Wang L, Dai B, Liu X. The mediating role of coping styles on impulsivity, behavioral inhibition/approach system, and internet addiction in adolescents from a gender perspective. Front Psychol. 2019; 10: 2402 [DOI:10.3389/fpsyg.2019.02402]
7. harpe L, Curran L. Understanding the process of adjustment to illness. Soc .Scie . Med. 2006;62(5):1153-66 [DOI:10.1016/j.socscimed.2005.07.010]
8. Halford J, Brown T. Cognitive-behavioural therapy as an adjunctive treatment in chronic physical illness. Adv Psychiatr Treat. 2009;15(4):306-17. [DOI:10.1192/apt.bp.107.003731]
9. Salaam B, Mounts NS. International note: Maternal warmth, behavioral control, and psychological control: Relations to adjustment of Ghanaian early adolescents. J Adolesc. 2016;49:99- 104. [DOI:10.1016/j.adolescence.2016.03.006]
10. Matthews G, Gilliland K. The personality theories of HJ Eysenck and JA Gray: A comparative review. Pers Individ Dif. 1999;26(4):583-626. [DOI:10.1016/S0191-8869(98)00158-5]
11. Beauchaine T. Vagal tone, development, and Gray's motivational theory: Toward an integrated model of autonomic nervous system functioning in psychopathology. Dev psy. 2001;13(2):183- 214 [DOI:10.1017/S0954579401002012]
12. Heshmati F, Heshmati R. Structural relationship of behavioral activation and inhibition system, dispositional mindfulness and chronic pain. Health Psy. 2018;6(24):120-37[Persian].
13. Sánchez-Rodríguez E, Racine M, Castarlenas E, Tomé-Pires C, Galán S, Jensen MP, Miró J. Behavioral Activation and Inhibition Systems: Further Evaluation of a BIS-BAS Model of Chronic Pain. Pain Med.2020. [DOI:10.26226/morressier.5d402fa48f2158d25ec12411]
14. Bernardes SF, Forgeron P, Fournier K, Reszel J. Beyond solicitousness: a comprehensive review on informal pain-related social support. Pain. 2017 ;158(11):2066-76. [DOI:10.1097/j.pain.0000000000001033]
15. Vaziri, S., Lotfi Azimi, A. Contributing Allocation of Meaning of Life and Perceived Social Support in Coping with the Pain. , Developmental Psychology (Journal Of Iranian Psychologist) . 2017 ; 13 ( 52): 375 - 382.
16. Finlay KA, Peacock S, Elander J. Developing successful social support: An interpretative phenomenological analysis of mechanisms and processes in a chronic pain support group. Psychol Health. 2018 ;33(7):846-71. [DOI:10.1080/08870446.2017.1421188]
17. Pituch KA, Stevens JP. Applied multivariate statistics for the social sciences Routledge. 2015,. pp: 1- 814. [DOI:10.4324/9781315814919]
18. Ditzen B, Heinrichs M. Psychobiology of social support: the social dimension of stress buffering. Restor Neurol Neurosci. 2014;32(1):149-62. [DOI:10.3233/RNN-139008]
19. Derogatis L. Administration, Scoring, and Procedures Manual. Clinical Psychometric Research. Baltimore: Johns Hopkins University School of Medicine; 1997.
20. Feghhi H, Saadatjoo A, Dastjerdi R. Psychosocial adaptation in patients with type 2 diabetes referring to Diabetes Research Center of Birjand in 2013. MODERN CARE JOURNAL. 2014;10(4):249-56(Persian).
21. Edwards LM. Measuring perceived social support in Mexican American youth: Psychometric properties of the multidimensional scale of perceived social support. Hisp. J. Behav. Sci.. 2004;26(2):187-94. [DOI:10.1177/0739986304264374]
22. Nasiri F, Abdolmaleki S. EExplaining the Relationship between Perceived Social Support and Quality of Life, Perceived Stress Mediator Role in Female-Headed Households in Sanandaj. Applied sociology. 2015;27(4):99-116(Persian).
23. Slobodskaya HR, Knyazev GG, Safronova MV, Wilson GD. Development of a short form of the Gray-Wilson personality questionnaire: its use in measuring personality and adjustment among Russian adolescents. Pers. Individ. Differ.2003; 35(5):1049- 1059. [DOI:10.1016/S0191-8869(02)00317-3]
24. Sepahmansoor, M. Relationship between behavioral activation system and behavioral inhibition system with student capabilities and behavioral disorder. JOURNAL OF THOUGHT & BEHAVIOR IN CLINICAL PSYCHOLOGY . 2010 ; 5 (17) : 57 - 64
25. Heshmati F. Structural relationship of behavioral activation and inhibition system, dispositional mindfulness and chronic pain. Health Psy. 2018;6(24):120-37.
26. Day MA, Matthews N, Newman A, Mattingley JB, Jensen MP. An evaluation of the behavioral inhibition and behavioral activation system (BIS-BAS) model of pain. Rehabil Psychol. 2019 Aug;64(3):279-287. [DOI:10.1037/rep0000274]
27. Serrano-Ibáñez ER, Ramírez-Maestre C, LópezMartínez AE, Esteve R, Ruiz-Párraga GT, Jensen MP. Behavioral inhibition and activation systems, and emotional regulation in individuals with chronic musculoskeletal pain. Fron psy. 2018;9:394. [DOI:10.3389/fpsyt.2018.00394]
28. Reddan MC, Young H, Falkner J, López-Solà M, Wager TD. Touch and social support influence interpersonal synchrony and pain. Soc. Cogn. Affect. Neurosci. 2020; 15(10),:1064-1075. [DOI:10.1093/scan/nsaa048]
29. Koelmel E, Hughes AJ, Alschuler KN, Ehde DM. Resilience mediates the longitudinal relationships between social support and mental health outcomes in multiple sclerosis. Arch. Phys. Med. Rehabil. 2017;98(6):1139-48. [DOI:10.1016/j.apmr.2016.09.127]
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