Comparison of Personality Characteristics and Coping Strategies in Patients With Multiple Sclerosis and Control Group

authors:

avatar Shahnaz Mohammadi 1 , avatar Maryam Izadi-Mazidi 2 , * , avatar Negin Kazemi 1

Department of Psychology, Kharazmi University, Tehran, IR Iran
Department of Psychology, Department of Psychology, Shahed University, Tehran, IR Iran

how to cite: Mohammadi S, Izadi-Mazidi M, Kazemi N. Comparison of Personality Characteristics and Coping Strategies in Patients With Multiple Sclerosis and Control Group. Jentashapir J Cell Mol Biol. 2015;6(5):e22687. https://doi.org/10.17795/jjhr-22687.

Abstract

Background:

The present study aimed to investigate personality traits and coping strategies in patients with multiple sclerosis (MS) who were admitted to Sina hospital compared with healthy individuals.

Objectives:

The aim of the present study was to compare personality characteristics and coping strategies between patients with MS and healthy controls.

Materials and Methods:

The study sample included 55 patients with MS and 57 matched healthy control individuals. The data were gathered via a demographic form, the ways of coping questionnaire, and the NEO five-factor inventory. The data were analyzed by multivariate analysis of variance (MANOVA), Pearson’s correlation coefficient, and logistic regression.

Results:

No significant differences in personality characteristics were observed between patients and healthy controls (all P > 0.05). Only the coping strategy subscale of Distancing was significant between patients and healthy controls (P < 0.05; all other subscales P > 0.05). Only the Neuroticism personality trait and the Distancing coping strategy were predictive of group membership (i.e., healthy or patient).

Conclusions:

Our study suggests that the personality traits of patients with MS and healthy individuals are not significantly different. Patients with MS are likely to use the same coping strategies as healthy individuals, except in the subscale of Distancing.

1. Background

Multiple sclerosis (MS) is an inflammatory autoimmune disease that debilitates the central nervous system (CNS) (1-3). Women and young and middle-aged adults have an increased risk for this disorder (3-7). Patients with MS experience a range of motor (e.g., muscle weakness and poor balance) and non-motor (e.g., fatigue, pain, and memory impairment) symptoms (8). The variation in symptoms reflects the multifocal pathology of MS, including inflammation, demyelination, and axonal damage (2). In addition to specific illness-related stressors, demands, and limitations of this disease, problems with occupational performance, social functioning, economic status, and other stressful events have adverse effects on its course and nature (4). Therefore, patients develop certain coping strategies directed toward overcoming the challenges associated with these problems (4).

Coping strategies include both behavioral and psychological efforts to manage stressful events (4). Lazarus classified two broad types of coping strategies: problem-centered and emotion-centered. Problem-centered strategies attempt to reduce or eliminate the stressor. Emotion-centered strategies aim to change emotional reactions to the stressful event (9).

In another classification scheme, coping strategies are divided into two types: adaptive strategies that reduce stress levels and maladaptive strategies by which stress levels increase (10). To date, a number of investigations have studied coping strategies in patients with MS. For instance, Mohr et al. (1997) (11) and Lynch et al. (2001) (12) both observed emotional coping skills among patients with MS. In a study by Milanlioglu et al. (2014), non-functional coping strategies were significantly higher among patients with a secondary-progressive type of MS compared with patients with a relapsing-remitting type of MS and a healthy control group (4).

Mikula et al. (2013) reported that coping is a significant mediator of the relationship between fatigue and mental health-related quality of life in all fatigue dimensions, whereas coping appears to be much less important in the association between fatigue and physical health-related quality of life (13). In a study conducted by Jean et al. (1999), higher levels of psychological distress were associated with a higher use of emotion-focused coping strategies (14). Similarly, Arnett et al. (2002) found that cognitive impairment was more likely to be related to depression when patients used low levels of active coping or high levels of avoidance (15). In contrast, Lynch, Kroencke, and Denney (2001) reported that the association between MS and depression was not mediated by the use of various emotion-centered or problem-centered coping strategies (12).

Other studies have pointed to the role of personality characteristics in the course of MS, comorbid psychopathology (16), health-related quality of life of patients (17), and poor adherence to therapy (18). For example, Benedict et al. (2001) reported that patients with MS with cognitive impairment were more neurotic and less empathic, agreeable, and conscientious compared with healthy individuals (19). Bruce and Lynch (2011) showed a relationship between psychopathology and personality dysfunction in MS. Patients with MS and comorbid anxiety and/or depression exhibit more neuroticism and less extraversion, agreeableness, and conscientiousness than mentally healthy patients with MS and healthy individuals (16). Merkelbach, Konig, and Sittinger found that increased levels of neuroticism and excitability and decreased levels of extraversion had a higher impact than physical impairment on feelings of fatigue in patients with MS (20).

In a study conducted by Dubayova et al. (2013), type D personality was associated with both physical and mental dimensions of health-related quality of life in patients with MS. However, the role of anxiety and depression on physical and mental dimensions of health-related quality of life were stronger than personality type (17).

In addition to these controversial findings, the study of personality characteristics and coping strategies in patients with MS has received little attention in Iran. Therefore, the present study aimed to compare the personality characteristics and coping strategies in Iranian patients with MS and healthy individuals.

2. Objectives

The aim of the present study was to compare the personality characteristics and coping strategies in patients with MS and healthy individuals.

3. Materials and Methods

3.1. Subjects

The study was conducted over a period of 12 months from August 2013 to June 2014. A total of 55 patients diagnosed with MS and 57 matched healthy controls participated in the study. The patients had been admitted to Sina hospital in Tehran, Iran. The diagnosis of MS was performed by a neurologist. The control group included hospital staff as well as relatives of the patients, who had no history of MS. The inclusion criteria were as follows: volunteering to participate, literacy, between 18 and 65 years of age, no other neurological diseases or psychiatric disorder, and no abuse of alcohol or other substances.

After describing the procedures and purposes of the study, written informed consent was obtained from patients who met the inclusion criteria. Each subject was asked to complete the Persian version of the NEO Five-Factor Inventory (NEO-FFI) and Lazarus’ ways of coping questionnaire as well as a questionnaire to obtain demographic data about gender, age, level of education, and marital status. Participants with incomplete questionnaires were excluded.

3.2. Questionnaires

3.2.1. Ways of Coping Questionnaire (WCQ)

Lazarus’ ways of coping questionnaire (WCQ) consists of 66 items graded from 0 to 3. Fifty of the items are divided into four subscales, including Seeking social support, accepting responsibility, positive reappraisal, and Planful problem solving, to identify problem-focused strategies, and four subscales, including confrontive coping, distancing, self-controlling, and escape-avoidance, to identify emotion-centered strategies (21, 22). In a study conducted by Dardas (2014), Cronbach’s alphas for the eight subscales were reported to range from moderate to high (21). Santoro et al. (2014) reported that the construct validity of the questionnaire has been supported by consistency with theoretical predictions (22).

3.2.2. Neo Five-Factor Inventory (NEO-FFI)

The NEO Five-Factor Inventory (NEO-FFI) is a 240-item questionnaire. Each item requires a response on a 5-point Likert-type scale from strongly disagree to strongly agree (23). The items are grouped into 5 sub-scales including neuroticism, extraversion, openness, agreeableness, and conscientiousness (24-26). The inventory has considerable internal consistency and convergent and discriminant validity (27). In Haghshenas’ study, Cronbach’s alphas for the Persian form of the inventory were reported from 0.57 - 0.83 for the five subscales. The range of the test-retest reliability coefficient was reported to be from 0.53 - 0.76, with an average of 6.7 months between tests (28).

3.3. Statistical Analysis

Data were analyzed using multivariate analysis of variance (MANOVA), Pearson’s correlation coefficient, and logistic regression. P < 0.05 was considered significant. Statistical analyses were carried out using SPSS v16 software.

4. Results

The demographic features of the participants are listed in Table 1. The personality characteristics of patients and healthy subjects were compared using MANOVA. There were no significant differences observed between patients and healthy individuals on the Neuroticism (F = 3.15, P > 0.05), Extraversion (F = 0.06, P > 0.05), Openness (F = 2.02, P > 0.05), Agreeableness (F = 1.86, P > 0.05), or Conscientiousness (F = 0.11, P > 0.05) characteristics. A comparison of all 5 characteristics is shown in Table 2.

Table 1.

The Demographic Features of the Participants

Demographic VariablesValues a
Group
Patients with MS55 (49.1%)
Healthy individuals57 (50.9%)
Gender
Male20 (17.9%)
Female92 (82.1%)
Marital status
Single51 (45.5%)
Married58 (51.8%)
Divorced/widowed 0
Education
Diploma and lower50 (44.7%)
Associate’s degree 2 (1.8%)
Bachelor’s degree52 (46.4%)
Postgraduate degree8 (7.1%)
Age, y
< 2632 (28.6%)
26 - 4067 (59.8%)
> 4013(11.6%)
Table 2.

Comparison of Personality Characteristics Across Groups Using MANOVA a

Personality CharacteristicPatients With MS bHealthy Individuals bF1.96
Neuroticism21.07 ± 7.4718.25 ± 5.853.15
Extraversion23.42 ± 5.9723.48 ± 5.340.06
Openness27.08 ± 3.9228.30 ± 4.472.02
Agreeableness32.67 ± 4.6134.25 ± 4.261.86
Conscientiousness29.21 ± 5.8328.77 ± 5.730.11

As shown in Table 3, there was a significant difference between patients and healthy individuals on the Distancing (F = 7.62, P < 0.05) coping strategy subscale. No significant differences in Seeking Social Support (F = 0.08, P > 0.05), Accepting Responsibility (F = 0.69, P > 0.05), Positive Reappraisal (F = 0.03, P > 0.05), Planful Problem Solving (F = 1.06, P > 0.05), Confrontive Coping (F = 3.93, P > 0.05), Self-Controlling (F = 0.37, P > 0.05), or Escape-Avoidance (F = 3.72, P > 0.05) were observed.

Table 3.

Comparison of Coping Strategies Across Groups Using MANOVA

Coping StrategyPatients With MS aHealthy Individuals aF1.124P Value
Seeking social support9.35 ± 3.699.67 ± 3.610.08P > 0.05
Accepting responsibility6.77 ± 5.336.39 ± 1.960.69P > 0.05
Positive reappraisal11.94 ± 3.3612.27 ± 3.590.03P > 0.05
Planful problem solving8.98 ± 2.728.56 ± 2.231.06P > 0.05
Confrontive coping7.76 ± 2.766.7 ± 2.423.93P > 0.05
Distancing9.79 ± 3.207.91 ± 2.977.62P < 0.05
Self-controlling10.76 ± 3.2210.44 ± 2.870.37P > 0.05
Escape-avoidance9.62 ± 3.917.95 ± 3.153.72P > 0.05

Correlations between the different dimensions of coping strategies and subscales of personality characteristics in patients with MS and healthy individuals are reported in Tables 4 and 5, respectively. As shown in Tables 4 and 5, there are significant correlations between some of the personality traits and coping strategies in both patients and healthy individuals. Despite some differences between the two groups, positive strategies were generally correlated with less neuroticism and more extraversion, openness to experience, agreeableness, and conscientiousness.

Table 4.

Correlations Between Different Dimensions of Coping Strategies and Subscales of Personality Characteristics in Patients With MS.

Coping Strategies/ NeuroticismExtraversionOpennessAgreeablenessConciseness
Seeking social support
R = -0.29R = 0.51R = 0.11R = 0.29R = 0.25
P = 0.03P < 0.001P = 0.4P = 0.03P = 0.05
Accepting responsibility
R = -0.04R = 0.22R = -0.09R = -0.03R = 0.013
P = 0.7P = 0.1P = 0.5P = 0.8P = 0.9
Positive reappraisal
R = -0.38R = 0.5R = 0.13R = 0.2R = 0.5
P = 0.004P < 0.001P = 0.3P = 0.04P < 0.001
Planful problem solving
R = -0.28R = 0.38R = 0.03R = -0.03R = 0.28
P = 0.03P = 0.005P = 0.8P = 0.7P = 0.03
Confrontive coping
R = 0.08R = -0.07R = -0.08R = -0.48R = -0.09
P = 0.55P = 0.58P = 0.53P < 0.001P = 0.4
Distancing
R = -0.45R = 0.38R = -0.13R = 0.2R = 0.4
P = 0.001P = 0.004P = 0.3P = 0.04P = 0.001
Self-controlling
R = -0.32R = 0.33R = -0.14R = 0.33R = 0.42
P = 0.01P = 0.01P = 0.3P = 0.01P = 0.001
Escape-avoidance
R = 0.39R = -0.20R = -0.36R = -0.4R = -0.41
P = 0.003P = 0.13P = 0.006P = 0.002P = 0.002
Table 5.

Correlations Between Different Dimensions of Coping Strategies and Subscales of Personality Characteristics in Healthy Individuals

Coping Strategies/ NeuroticismExtraversionOpennessAgreeablenessConciseness
Seeking social support
R = -0.29R = 0.51R = 0.11R = 0.29R = 0.25
P = 0.03P < 0.001P = 0.4P = 0.03P = 0.05
Accepting responsibility
R = -0.04R = 0.22R = -0.09R = -0.03R = 0.01
P = 0.7P = 0.1P = 0.5P = 0.8P = 0.9
Positive reappraisal
R = -0.38R = 0.52R = 0.13R = 0.27R = 0.59
P = 0.004P < 0.001P = 0.3P = 0.04P < 0.001
Planful problem solving
R = -0.28R = 0.38R = 0.03R = -0.03R = 0.28
P = 0.03P = 0.005P = 0.8P = 0.7P = 0.03
Confrontive coping
R = 0.08R = -0.07R = -0.08R = -0.48R = -0.09
P = 0.5P = 0.5P = 0.5P < 0.001P = 0.4
Distancing
R = -0.45r=0.38R = -0.13R = 0.28R = 0.44
P = 0.001P = 0.004P = 0.3P = 0.04P = 0.001
Self-controlling
R = -0.32R = 0.33R = -0.14R = 0.33R = 0.42
P = 0.017P = 0.01P = 0.3P = 0.01P = 0.001
Escape-avoidance
R = 0.39R = -0.20R = -0.36R = -0.4R = -0.4
P = 0.003P = 0.13P = 0.006P = 0.002P = 0.002

Predictions of group membership (i.e., patient or healthy) using logistic regression are shown in Table 6. The results show that there is a minimum amount of error in predicting group membership before adding variables of personality traits and coping strategies. In step 1, after adding the personality characteristics and coping strategies to the predictive equation, the prediction percentage increases from 53.1% to 70.4%. In patients with MS, the prediction percentage increases from 0 to 65.8%.

Table 6.

Prediction of Group Membership Before and After Entering Predictive Variables

StepThe Predicted Values
GroupPercent Correct Prediction
Healthy IndividualPatients With MS
Step 0
Group
Healthy individual430100%
Patients with MS3800
Total percentage0.53
Step 1
Group
Healthy individual 321174.4
Patients with MS132565.8
Total percentage70.4
Table 7.

Predictive Coefficients of Variables for Predicting Group Membership (Step 1) a

Variableβ CoefficientWaldPOdd Ratio
Neuroticism0.114.780.021.12
Extraversion0.061.030.31.06
Openness to experience-0.030.320.50.96
Agreeableness-0.020.050.80.98
Consciousness0.040.40.51.04
Confrontive coping0.030.040.81.03
Distancing0.37.950.0051.45
Self-control-0. 23.360.060.80
Seeking social support-0.020.050.80.97
Acceptance responsibility-0.0080.0070.90.99
Escape-avoidance0.091.0070.31.1
Planful problem solving0.232.7090.11.26
Positive reappraisal-0.151.440.20.85
Constant-5.371.460.220.005

The results of the Hosmer-Lemeshow goodness-of-fit showed that there was no significant difference between the observed and predicted results (χ2 = 4.98, P > 0.05). Therefore, this model is appropriate for predicting group membership. The findings also indicate that the predictive equation explains 24 to 32% of the variance in group membership based on personality characteristics and coping strategies.

Of 13 possible interactions [(8 coping strategies + 5 personality dimensions) × 1 multiple sclerosis)], only the interactions of Distancing (β = 0.3, Wald = 7.95, OR = 1.45, P = 0.005) and Neuroticism (β = 0.11, Wald = 4.78, OR = 1.12, P = 0.02) with MS were significant. The β coefficients indicate that higher scores on Neuroticism and Distancing scores increase the risk for MS.

5. Discussion

Our results showed that the majority of participants were women. This finding strengthens the notion that MS is more prevalent in women than men (5-7). However, it should be noted that women were more cooperative with the researcher in our study. Our results also indicate that MS was more prevalent among participants in the 26 - 40 years old age subgroup. Previous studies have reported previous studies have reported that MS is more prevalent among 20 - 40 years patients (3, 4).

We did not find significant differences in personality dimensions between the two groups. This finding is inconsistent with the results of Benedict et al. (2001), which found that patients with MS were more neurotic and less empathic, agreeable, or conscientious than healthy controls (19). In addition, Dubayova et al. (2003) found that type D personality was associated with both physical and mental dimensions of health-related quality of life in patients with MS (17).

This gap may be due to our small sample size or the characteristics of our participants, who were outpatients with little neurologic impairment. The results of Lynch (2011) (12), in which patients with MS and comorbid anxiety and/or depression exhibited more neuroticism and less extraversion, agreeableness, and conscientiousness than mentally healthy patients with MS and healthy individuals, may justify our findings. However, we did not assess the psychological status of patients to determine the presence of comorbid psychiatric conditions.

In terms of coping strategies, there was a significant difference between patients with MS and healthy individuals in the subscale of Distancing only. Differences in the Seeking Social Support, Accepting Responsibility, Positive Reappraisal, Planful Problem Solving, Self-Controlling, and Escape-Avoidance subscales were not significant. Consistent with our findings, Mohr et al. (1997) (11) and Lynch et al. (2001) (12) both observed emotional coping skills among patients with MS.

Patients with MS experience high levels of stress due to the unpredictable nature of their illness and uncertainty about the future. Therefore, some emotion-centered strategies, including Distancing, may be adoptive and help them to get relieved of stress.

In contrast to our results, Milanlioglu et al. (2014) reported higher levels of acceptance in patients with MS compared with healthy controls (4). They also found lower scores in positive reinterpretation and growth, suppression of competing activities, and planning in patients with a secondary-progressive type of MS compared with patients with a relapsing-remitting type of MS and healthy controls (4). Several studies have reported emotion-focused coping strategies in patients with comorbid psychological distress (12, 13) or cognitive impairments (30). We did not compare coping strategies in subtypes of MS or conduct psychological assessments to determine the presence of comorbid psychiatric disorders in the present study.

Our findings revealed significant correlations between some personality traits and coping strategies in both patients with MS and healthy individuals. In general, positive strategies were correlated with less neuroticism and more extraversion, openness to experience, agreeableness, and conscientiousness. Consistent with this finding, Ratsep et al. (2000) indicated that neuroticism was significantly associated with emotion-centered coping in both patients with MS and healthy individuals. By contrast, they reported that agreeableness was correlated with avoidance-oriented coping strategies only in the patients with MS, and extraversion and openness to experience were linked to task-oriented coping strategies only in healthy controls (30).

We also found that personality characteristics and coping strategies have an impact on MS. The personality trait Neuroticism and the coping strategy subscale Distancing was able to predict group membership (i.e., patient or healthy).

Considering the current findings and the results of previous studies, clinicians need to be sensitive to coping strategies in patients with MS. It is important to develop educational programs, including strategies that help patients to more readily adjust to their condition. Moreover, more research is required in the future to increase the power of the current findings.

There were several limitations of the current study. First, the sample size was relatively small. Thus, a larger sample size is suggested for further studies. Second, our study used a cross-sectional design. Thus, we do not know the personality traits and coping strategies of the patients before the onset of disease.

Acknowledgements

References

  • 1.

    Rio J, Comabella M, Montalban X. Multiple sclerosis: current treatment algorithms. Curr Opin Neurol. 2011;24(3):230-7. [PubMed ID: 21499098]. https://doi.org/10.1097/WCO.0b013e328346bf66.

  • 2.

    Boe Lunde HM, Telstad W, Grytten N, Kyte L, Aarseth J, Myhr KM, et al. Employment among patients with multiple sclerosis-a population study. PLoS One. 2014;9(7). eee103317. [PubMed ID: 25054972]. https://doi.org/10.1371/journal.pone.0103317.

  • 3.

    Strober LB, Christodoulou C, Benedict RH, Westervelt HJ, Melville P, Scherl WF, et al. Unemployment in multiple sclerosis: the contribution of personality and disease. Mult Scler. 2012;18(5):647-53. [PubMed ID: 22183935]. https://doi.org/10.1177/1352458511426735.

  • 4.

    Milanlioglu A, Ozdemir PG, Cilingir V, Gulec TC, Aydin MN, Tombul T. Coping strategies and mood profiles in patients with multiple sclerosis. Arq Neuropsiquiatr. 2014;72(7):490-5. [PubMed ID: 25054979].

  • 5.

    Duquette P, Pleines J, Girard M, Charest L, Senecal-Quevillon M, Masse C. The increased susceptibility of women to multiple sclerosis. Can J Neurol Sci. 1992;19(4):466-71.

  • 6.

    Whitacre CC. Sex differences in autoimmune disease. Nat imm. 2001;2(9):777-80.

  • 7.

    Orton SM, Herrera BM, Yee IM, Valdar W, Ramagopalan SV, Sadovnick AD, et al. Sex ratio of multiple sclerosis in Canada: a longitudinal study. Lancet Neurol. 2006;5(11):932-6. [PubMed ID: 17052660]. https://doi.org/10.1016/S1474-4422(06)70581-6.

  • 8.

    Klevan G, Jacobsen CO, Aarseth JH, Myhr KM, Nyland H, Glad S, et al. Health related quality of life in patients recently diagnosed with multiple sclerosis. Acta Neurol Scand. 2014;129(1):21-6. [PubMed ID: 23772958]. https://doi.org/10.1111/ane.12142.

  • 9.

    Tobin DL, Holroyd KA, Reynolds RV, Wigal JK. The hierarchical factor structure of the coping strategies inventory. Cognit Ther Res. 1989;13(4):343-61. https://doi.org/10.1007/bf01173478.

  • 10.

    Brown SP, Westbrook RA, Challagalla G. Good cope, bad cope: adaptive and maladaptive coping strategies following a critical negative work event. J Appl Psychol. 2005;90(4):792-8. [PubMed ID: 16060796]. https://doi.org/10.1037/0021-9010.90.4.792.

  • 11.

    Mohr DC, Goodkin DE, Gatto N, Van Der Wende J. Depression, coping and level of neurological impairment in multiple sclerosis. Mult Scler. 1997;3:254-258.

  • 12.

    Lynch SG, Kroencke DC, Denney DR. The relationship between disability and depression in multiple sclerosis: the role of uncertainty, coping, and hope. Mult Scler. 2001;7(6):411-416.

  • 13.

    Mikula P, Nagyova I, Krokavcova M, Vitkova M, Rosenberger J, Szilasiova J, et al. Coping and its importance for quality of life in patients with multiple sclerosis. Disabil Rehabil. 2014;36(9):732-6. [PubMed ID: 23826881]. https://doi.org/10.3109/09638288.2013.808274.

  • 14.

    Jean VM, Paul RH, Beatty WW. Psychological and neuropsychological predictors of coping patterns by patients with multiple sclerosis. J Clin Psychol. 1999;55(1):21-6. [PubMed ID: 10100828].

  • 15.

    Arnett PA, Higginson CI, Voss WD, Randolph JJ, Grandey AA. Relationship between coping, cognitive dysfunction and depression in multiple sclerosis. Clin Neuropsychol. 2002;16(3):341-55. [PubMed ID: 12607147]. https://doi.org/10.1076/clin.16.3.341.13852.

  • 16.

    Bruce JM, Lynch SG. Personality traits in multiple sclerosis: association with mood and anxiety disorders. J Psychosom Res. 2011;70(5):479-85. [PubMed ID: 21511079]. https://doi.org/10.1016/j.jpsychores.2010.12.010.

  • 17.

    Dubayova T, Krokavcova M, Nagyova I, Rosenberger J, Gdovinova Z, Middel B, et al. Type D, anxiety and depression in association with quality of life in patients with Parkinson's disease and patients with multiple sclerosis. Qual Life Res. 2013;22(6):1353-60. [PubMed ID: 23054489]. https://doi.org/10.1007/s11136-012-0257-9.

  • 18.

    Bruce JM, Hancock LM, Arnett P, Lynch S. Treatment adherence in multiple sclerosis: association with emotional status, personality, and cognition. J Behav Med. 2010;33(3):219-27. [PubMed ID: 20127401]. https://doi.org/10.1007/s10865-010-9247-y.

  • 19.

    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. [PubMed ID: 11207332].

  • 20.

    Merkelbach S, Konig J, Sittinger H. Personality traits in multiple sclerosis (MS) patients with and without fatigue experience. Acta Neurol Scand. 2003;107(3):195-201. [PubMed ID: 12614312].

  • 21.

    Dardas LA. Stress, coping strategies, and quality of life among Jordanian parents of children with Autistic Disorder. Autism. 2014;4(127):2.

  • 22.

    Santoro MS, Van Liew C, Cronan TA, Franks HM, Adams RN, Roesch SC, et al. Physical function and quality of well-being in fibromyalgia: the applicability of the goodness-of-fit hypothesis. Health Psychol Behav Med. 2014;2(1):496-508. [PubMed ID: 25750797]. https://doi.org/10.1080/21642850.2014.905205.

  • 23.

    Furnham A, Guenole N, Levine SZ, Chamorro-Premuzic T. The NEO Personality Inventory-Revised: factor structure and gender invariance from exploratory structural equation modeling analyses in a high-stakes setting. Assessment. 2013;20(1):14-23. [PubMed ID: 22837539]. https://doi.org/10.1177/1073191112448213.

  • 24.

    Davoudi I, Aliakbari DM, Shahrokh R, Mohseni P. The Relationship between Emotional Intelligence and Personality Traits of Nurses with Patient’s Satisfaction of Nursing Services in heacademic hospitals of Ahvaz [in Persian]. Jentashapir J Heal Res. 2011;2(1):10-9.

  • 25.

    Davoudi I, Nargesi F, Mehrabizadeh Honarmand M. The Comparison of dysfunctional beliefs and Personality traits between teachers with and without health anxiety [in Persian]. Jentashapir J Heal Res. 2012;(4):21-34.

  • 26.

    Basaknejad S, Boostani F. An investigation of the relationship between personality traits and coping style among the students of Shahid Chamran University [in Persian]. Jentashapir J Heal Res. 2012;3(3):39-408.

  • 27.

    Pervin LA, John OP. Handbook of personality: Theory and research. Elsevier; 1999.

  • 28.

    Hagh Shenas H. Normalization of NEO personality test, revised form [in Persian]. Andisheh va raftar. 1999;4(4):38-47.

  • 29.

    Montel S, Spitz E, Bungener C. Coping strategies in multiple sclerosis patients with frontal cognitive disorders. Eur Neurol. 2012;68(2):84-8. [PubMed ID: 22759446]. https://doi.org/10.1159/000337905.

  • 30.

    Ratsep T, Kallasmaa T, Pulver A, Gross-Paju K. Personality as a predictor of coping efforts in patients with multiple sclerosis. Mult Scler. 2000;6(6):397-402. [PubMed ID: 11212136].