Volume 12 - Articles-1401                   MEJDS (2022) 12: 157 | Back to browse issues page

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Tavakoli M, Khademi A, Farshbaf Manisefat F, Shaker Dioulagh A. The Structural Equation Modeling of Personality Organization and Object Relations with Interpretation Bias with Role Mediator of Meta-emotion and Sensory Processing Sensitivity in Depressed Students. MEJDS 2022; 12 :157-157
URL: http://jdisabilstud.org/article-1-2702-en.html
1- Department of Psychology, Urmia Branch, Islamic Azad University
Abstract:   (1039 Views)

Background & Objectives: Depression is one of the most common chronic diseases among people with high levels of comorbidity with other mental disorders. The interpretation of bias in depression has been well studied, so that depressed people tend to decipher or recall negative information more easily than positive or neutral information. Researchers have suggested that information processing and interpretive bias are associated with the development and persistence of emotional disorders. Because the stimuli and events around us are rarely overtly positive or negative, the interpretive process is critical to how information is stored in memory, and negative interpretive biases are an underlying mechanism for depressive disorders. This interpretive bias is influenced by various variables, one of the most important of which can be personality organization, a concept that Kronberg proposed based on the framework of object relations theory. The purpose of this study was to structural equation modeling of personality organization and object relations with interpretation bias with role mediator meta–emotion and sensory processing sensitivity in depressed students.
Methods: The research method was analytical correlational by structural equation modeling. The statistical population of the present study was the students of Islamic Azad University Urmia branch, Urmia City, Iran, in the academic year 2019–2020. In this study, according to convenience sampling method, 200 depressed students were selected as samples and they were asked to answer the Revised Beck Depression Inventory–II (Beck et al., 1988), Inventory of Personality Organization (Lenzenweger et al., 2001), Bell Object Relations Inventory (BORI) (Bell et al., 1986), Ambiguous Scenarios Test–Depression (AST–D) (Berna et al., 2011), Meta–Emotion Scale (MES) (Mitmansgruber et al. (2009), and Highly Sensitive Person Scale (Aron and Aron, 1997). Among those who answered the questionnaires, 200 students who scored Score higher than 10 on Beck Depression Inventory–II were selected. The Explore command in SPSS program was used to investigate the outliers in the present study; the results of the study of outages in the variables of the present study showed no outages in any of the research variables. Data were analyzed at descriptive and inferential levels. At the descriptive level, mean and standard deviation were used to measure the research variables. At the inferential level, the Pearson correlation coefficient and structural equation modeling were used to investigate the relationships between variables. Data analysis software was SPSS version 24 and AMOS version 24, at a significance level of 0.05.
Results: The present study results indicated that the path coefficient between personality organization (β=–0.457, p=0.012), object relations (β=–0.098, p=0.008), meta–emotion (β=–0.336, p<0.001) and sensory processing sensitivity (β=–0.205, p<0.001) with interpretation bias was negative and significant. Also, indirect paths of personality organization and object relations with interpretation bias through mediating role of meta–emotion and sensory processing sensitivity were significant. The goodness of fit indices supported the optimal fit of the research model with the collected data (X2/df=2.488, NFI=0.911, GFI=0.907, IFI=0.913, AGFI=0.901, CFI=0.908, and RMSEA=0.063).
Conclusion: Based on the findings of this study, meta–cognition and sensory processing sensitivity play a mediating role in the relationship between personality organization and object relationships with the interpretation bias of depressed people. Also, the structural model of the research and satisfactory with research data and is an important step in identifying the factors that are effective in interpretation bias in depressed students.

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Type of Study: Original Research Article | Subject: Psychology

References
1. Wańkowicz P, Szylińska A, Rotter I. Insomnia, anxiety, and depression symptoms during the COVID-19 pandemic may depend on the pre–existent health status rather than the profession. Brain Sci. 2021;11(8):1001. [DOI]
2. American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM–5. 5th ed. Washington, D.C.: American Psychiatric Association; 2013.
3. Cuamba Osorio N, Zazueta Sanchez NA. Depression, coping and academic performance in psychology students. Dilemas. 2021;8(Special 1):12–21. [DOI]
4. Gotlib IH, Joormann J. Cognition and depression: Current status and future directions. Annu Rev Clin Psychol. 2010;6:285–312. [DOI]
5. Gotlib IH, Krasnoperova E, Yue DN, Joormann J. Attentional biases for negative interpersonal stimuli in clinical depression. J Abnorm Psychol. 2004;113(1):121–35. [DOI]
6. Smith HL, Summers BJ, Dillon KH, Macatee RJ, Cougle JR. Hostile interpretation bias in depression. J Affect Disord. 2016;203:9–13. [DOI]
7. Bianchi R, Laurent E, Schonfeld IS, Verkuilen J, Berna C. Interpretation bias toward ambiguous information in burnout and depression. Pers Individ Dif. 2018;135:216–21. [DOI]
8. Nikbakht A, Neshatdoost HT, Mehrabi HA. Psychometric properties of an interpretation bias scale for depressed mood in Iranian Society: The Ambiguous Scenarios Test. Quarterly of Educational Measurement. 2017;7(28):155–79. [Persian] [DOI]
9. Kernberg O. Borderline personality organization. Journal of the American Psychoanalytic Association, 1967;15(3):641-5. [DOI]
10. Lenzenweger MF, Clarkin JF, Kernberg OF, Foelsch PA. The Inventory of Personality Organization: Psychometric properties, factorial composition, and criterion relations with affect, aggressive dyscontrol, psychosis proneness, and self-domains in a nonclinical sample. Psychol Assess. 2001;13(4):577–91. [DOI]
11. Farjad M, Mohamadi N, Rahimi C, Hadianfard H. Personality organization in peoples with obsessive–compulsive, depressive symptoms, obsessive–compulsive and depressive symptoms and normal group. Research in Clinical Psychology and Counseling. 2014;3(2):37–50. [Persian] [DOI]
12. Monajem A, Monirpour N, Mirzahosseini H. Structural relationships of the personality organization, object relations and defense mechanisms with pathological eating disorder. Journal of Clinical Psychology. 2018;10(2):1–14. [Persian] [DOI]
13. Miranda B, Louzã MR. The physician’s quality of life: relationship with ego defense mechanisms and object relations. Compr Psychiatry. 2015;63:22–9. [DOI]
14. Negri A, Ongis M. Stimulus features of the object relations technique affecting the linguistic qualities of individuals’ narratives. J Psycholinguist Res. 2021;50(1):65–83. [DOI]
15. Deckert M, Schmoeger M, Auff E, Willinger U. Subjective emotional arousal: an explorative study on the role of gender, age, intensity, emotion regulation difficulties, depression and anxiety symptoms, and meta-emotion. Psychol Res. 2020;84(7):1857–76. [DOI]
16. Saqqezi A, Yazdani Esfidvajani H, Golmohamadian M. The mediating role of positive metacognition and meta-emotion in the relationship between perceived social support with Corona anxiety. Counseling Culture and Psycotherapy. 2020;11(43):33–62. [Persian] [DOI]
17. Izadpanah Kakhak M, Samari A, Tozandehjani H. The role of loneliness and positive meta-emotion in predicting life expectancy of elderly men. Iranian Journal of Psychiatric Nursing. 2019;7(4):25–31. [Persian] [Article]
18. Engel-Yeger B, Muzio C, Rinosi G, Solano P, Geoffroy PA, Pompili M, et al. Extreme sensory processing patterns and their relation with clinical conditions among individuals with major affective disorders. Psychiatry Res. 2016;236:112–8. [DOI]
19. Engel-Yeger B, Dunn W. Exploring the relationship between affect and sensory processing patterns in adults. British Journal of Occupational Therapy. 2011;74(10):456–64. [DOI]
20. Atadokht A, Majdi H. The role of sensory processing sensitivity and cognitive functions in predicting student’s psychopathological profile. Journal of School Psychology. 2020;9(1):134–52. [Persian] [Article]
21. Mulligan S, Douglas S, Armstrong C. Characteristics of idiopathic sensory processing disorder in young children. Front Integr Neurosci. 2021;15:647928. [DOI]
22. Liss M, Mailloux J, Erchull MJ. The relationships between sensory processing sensitivity, alexithymia, autism, depression, and anxiety. Pers Individ Dif. 2008;45(3):255–9. [DOI]
23. Beck AT, Steer RA, Carbin MG. Psychometric properties of the Beck Depression Inventory: twenty-five years of evaluation. Clin Psychol Rev. 1988;8(1):77–100. [DOI]
24. Kline RB. Principles and practice of structural equation modeling. 4th ed. New York: The Guilford Press; 2016.
25. Stefan-Dabson K, Mohammadkhani P, Massah-Choulabi O. Psychometric Characteristics of Beck Depression Inventory-II in patients with magor depressive disorder. Archives of Rehabilitation. 2007;8 (Special):80–6. [Article]
26. Al Behbahani M, Mohammadi N. Barrasi vizhegihaye ravansanji siahe sazman shakhsiat Kernberg [Investigating the psychometric properties of the Kernberg personality organization list]. Journal of Psychology. 2007;11(2):185–97. [Persian]
27. Kovács LN, Schmelowszky Á, Galambos A, Kökönyei G. Rumination mediates the relationship between personality organization and symptoms of borderline personality disorder and depression. Pers Individ Dif. 2021;168:110339.
28. Bell M, Billington R, Becker B. A scale for the assessment of object relations: reliability, validity, and factorial invariance. J Clin Psychol. 1986;42(5):733–41. [DOI]
29. Mesgarian F, Azadfallah P, Farahani H, Ghorbani N. Psychometric properties of Bell Object Relations Inventory (BORI). Clinical Psychology and Personality. 2020;15(2):193–204. [Persian] [DOI]
30. Berna C, Lang TJ, Goodwin GM, Holmes EA. Developing a measure of interpretation bias for depressed mood: an ambiguous scenarios test. Pers Individ Dif. 2011;51(3):349–54. [DOI]
31. Mitmansgruber H, Beck TN, Höfer S, Schüßler G. When you don’t like what you feel: experiential avoidance, mindfulness and meta-emotion in emotion regulation. Pers Individ Dif. 2009;46(4):448–53. [DOI]
32. Rezaei NM, Parsaee I, Nejati E, Nikamal M, Hashemizarini S. Vizhegihaye ravansanji meghyas farahayajan daneshjouyan [Psychometric properties of Students' Overexcitement Scale]. Journal of Psychological Research. 2014;6(23): 111–24. [Persian] [Article]
33. Aron EN, Aron A. Sensory-processing sensitivity and its relation to introversion and emotionality. J Pers Soc Psychol. 1997;73(2):345–68. [DOI]
34. Smolewska KA, McCabe SB, Woody EZ. A psychometric evaluation of the Highly Sensitive Person Scale: the components of sensory-processing sensitivity and their relation to the BIS/BAS and “Big Five.” Pers Individ Dif. 2006;40(6):1269–79. [DOI]
35. Sadooghi Z, Aguilar-Vafaie ME, Rassoulzadeh Tabatabaei SK. Factor analysis of the Individual with Highly Sensitive Processing Scale: the association of sensory processing sensitivity. Iranian Journal of Psychiatry and Clinical Psychology. 2008;14(1):85–9. [Persian] [Article]
36. Schermelleh-Engel K, Moosbrugger H, Müller H. Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online. 2003;8(2):23-74.
37. Preacher KJ, Hayes AF. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers. 2004;36:717–31. [DOI]
38. Bagheri J, Birashk B, Dehghani M, Asgharnejad AA. The relationship between object relations and the severity of depression symptoms: The mediating role of self-compassion. Iranian Journal of Psychiatry and Clinical Psychology. 2019;25(3):328–43. [Persian] [DOI]

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