The structural model of pain, cognitive strategies, and negative emotions in functional gastrointestinal disorders
Mina Mazaheri1, Hamid Reza Roohafza2, Mohammad Mohammadi3, Hamid Afshar4
1 Psychosomatic Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
2 Cardiac Rehabilitation Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
3 Department of Statistic, Isfahan University of Medical Sciences, Isfahan, Iran
4 Department of Psychiatry, Psychosomatic Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
|Date of Submission||29-Nov-2015|
|Date of Decision||10-Feb-2016|
|Date of Acceptance||18-Jul-2016|
|Date of Web Publication||02-Nov-2016|
Psychosomatic Research Center, Isfahan University of Medical Sciences, Isfahan
Source of Support: None, Conflict of Interest: None
Background: Patients with functional gastrointestinal disorders (FGIDs) may use specific coping strategies. We intend to provide a mediating role of the relationship between pain (intensity and acceptance), cognitive emotion regulation strategies, and negative emotions in patients with FGIDs. Materials and Methods: Participants were 176 inpatients, all experiencing significant FGIDs symptomatology as confirmed by gastroenterologists. Patients completed data on cognitive emotion regulation questionnaire, short form of depression, anxiety, stress scale, chronic pain acceptance questionnaire-revised, and pain intensity scale. Data were analyzed using structural equation modeling method. Results: The pain intensity had significantly direct effect on cognitive emotion regulation strategies and indirect effect on negative emotions. Besides, the mediating role of negative emotions in the relationship between the strategies and pain acceptance were supported, whereas indirect relationships between pain intensity and acceptance through cognitive strategies were not confirmed. Conclusion: The results of the study emphasize the role of pain intensity in the development of negative emotions through cognitive strategies and the role of the strategies in pain acceptance through negative emotions. In fact, cognitive strategies to be related to pain and emotions.
Keywords: Functional gastrointestinal disorders, negative emotion, pain, strategies
|How to cite this article:|
Mazaheri M, Roohafza HR, Mohammadi M, Afshar H. The structural model of pain, cognitive strategies, and negative emotions in functional gastrointestinal disorders. J Res Med Sci 2016;21:107
|How to cite this URL:|
Mazaheri M, Roohafza HR, Mohammadi M, Afshar H. The structural model of pain, cognitive strategies, and negative emotions in functional gastrointestinal disorders. J Res Med Sci [serial online] 2016 [cited 2019 Nov 15];21:107. Available from: http://www.jmsjournal.net/text.asp?2016/21/1/107/193179
| Introduction|| |
Pain or discomfort is a key feature of many functional gastrointestinal disorders (FGIDs) and is typically either the primary outcome variable or an important secondary outcome variable in clinical trials. FGID patients show a lower threshold to painful somatic stimulus. They may have hyperalgesia and low pain tolerance that are not limited to the viscera, but that is part of a systemic general condition.
Pain has two dimensions of unpleasant sensory and emotional experience. Sensory dimension refers to pain intensity, and affective dimension refers to the unhappiness that a person is experiencing. Due to developing considerable stress, pain calls negative emotions and causes lower quality of life. The typical emotional reaction to pain includes anxiety, fear, anger, guilt, frustration, and depression. When people with chronic pain respond this way, their overall level of distress may increase, they may avoid their emotional experiences, and their daily functioning may decrease.
It has been showed that there are the relations between pain unpleasantness and negative emotions in patients with chronic pain. Pain-related emotions are triggered by the immediate unpleasantness of pain. Hence, pain acceptance demonstrates a negative correlation with pain-related anxiety, and it is the strong predictor of pain-related avoidance. A survey was accomplished on the relationship between chronic pain acceptance and affective well-being from a coping perspective. Its findings showed that pain willingness (the attitudinal component of pain acceptance including the recognition of the uncontrollability of pain) primarily reduces negative affect, whereas activity engagement (the behavioral component of pain acceptance including the pursuit of life activities despite pain) additionally produces positive affect.
The idea that pain can lead to feelings such as frustration, worry, anxiety, and depression seems obvious, particularly if it has a chronic nature. However, there is also evidence for the reverse causal relationship in which negative mood and emotion can lead to pain or exacerbate it. For example, it is showed that doubt in emotion expression, dysfunctional anger management, fear, and depression  correlate with pain intensity. The diminution of negative emotion following a period of high negative emotion predict reduced pain, whereas greater variability of negative emotion predicts higher pain and increased activity limitation. Studies indicating affective disordered persons demonstrate a hyperalgesic response to pain sensation. Negative emotions come into view to correlate in a positive direction with pain sensitivity.
From the above-mentioned findings, two types of studies examine the interface between pain and emotions: (a) pain provokes negative emotions, and (b) negative emotions cause or exacerbate pain. However, it has documented that pain does not always correlate with increased negative affect. The capacity to self-regulate emotion may be the key difference between those who endure a great deal of pain-related suffering and those who can separate the experience of pain from emotional responses to pain.
Hence, emotion regulation is assumed to be an important factor in determining well-being. The term emotion regulation covers strategies to reduce, maintain, or increase an emotion. Cognitive emotion regulation refers to the conscious and cognitive way of handling emotionally arousing information. Investigations have shown that the regulation of emotions by cognitions or thoughts is inextricably associated with human life and helps people to keep control over their emotions during or after the experience of threatening or stressful events , such as pain experience. Thus, if pain is the bad news, the good news is that there are numerous strategies for regulating pain and the negative emotions associated with the anticipation and experience of pain.
Emotion regulation strategies may have different profiles of benefits. Some studies have investigated the strategies employed in regulating unpleasant emotions ,, and pain sensation., Furthermore, research has identified specific strategies associated with better and worse mental health outcomes applying classifications as adaptive and maladaptive, respectively. Adaptive strategies (i.e., perspective, reappraisal, behavioral activation, positive refocusing, social support, planning, and benefit finding) are associated with higher mood ratings than the use of maladaptive strategies (i.e. rumination, self-blame, other-blame, substance use, expressive suppression, emotional suppression, denial, and nonsuicidal self-injury).
According to the existing research resources, the cognitive emotion regulation strategies are associated with emotions and pain sensation. Hence, it is proposed that these strategies can mediate the interfaces between pain and emotions. However, research about the role buffering of emotion regulation strategies in somatic illness is relatively low, and a study in FGID patients and/or in the Iranian community has not been conducted to date. Hence, we intended to provide a mediating role of the relationship between pain (intensity and acceptance), cognitive emotion regulation strategies, and negative emotions in FGID patients. For this purpose and based on the existent research and theoretical background, a conceptual model was selected and was evaluated using structural equation modeling (SEM) method [Figure 1].
| Materials and Methods|| |
In this cross-sectional study, participants were 176 inpatients (33 males and 143 females). All of them were experiencing significant FGIDs symptomatology as confirmed by gastroenterologists on the basis of ROME III criteria. Patients were referred to a digestive psychosomatic clinic in Isfahan, Iran. They were selected by census sampling method (in almost 10 months). For ethics, the researcher assures to patients that their information will remain confidential, then, they received a set of questionnaires to fulfill. The study was conducted within the part of a proposal that was approved by the Ethics Committee of IUMS (287139) and was clarified for all the participants, and a written informed consent was obtained from all participants
Short form of depression, anxiety, and stress scale
The initial version of the depression, anxiety, and stress scale (DASS) contains 42 phrases about negative emotional states. The scale measures the intensity of depression, anxiety, and stress symptoms and it can be used to assess treatment progression. Participants' intensity rates (frequency) of symptom presented in each phrase which he/she has experienced over the past week on a four-point Likert scale, ranging from 0 (did not apply to me at all) to 3 (applied to me very much). The internal consistency reliability of short form of the 21-DASS (each of its subscales consists 7 items) was computed in an Iranian sample and Cronbach's α for depression, anxiety, and stress were, respectively, 0.81, 0.74, and 0.78.
Cognitive emotion regulation questionnaire
The multidimensional cognitive emotion regulation questionnaire (CERQ) was constructed to define what someone thinks after the experience of threatening or stressful events. The CERQ comprises nine conceptually distinct subscales: acceptance, putting into perspective, positive refocusing, planning refocusing, positive reappraisal, catastrophizing, rumination, self-blame, and other-blame. The original scale of the CERQ has 36 items that must be measured on a 5-point Likert scale ranging from 1 (almost never) to 5 (almost always). Score of each subscale can be obtained by summing the scores of items belonging to the particular subscale. The higher the subscale score, the more the specific cognitive strategy is used. Short 18-item version of the CERQ has the two-item subscales. In assessing validity and reliability, the Persian version of CERQ-18 has had good psychometric features. Cronbach's alpha coefficients have been estimated for the subscales ranging from 0.68 (acceptance) to 0.82 (planning refocusing).
Chronic pain acceptance questionnaire-revised
The 20-item chronic pain acceptance questionnaire-revised (CPAQ-R) has been designed to measure the acceptance of pain. There have been two factors identified in the CPAQ-R: (1) activity engagement (pursuit of life activities regardless of pain), (2) pain willingness (recognition that avoidance and control are often unworkable methods of adapting to chronic pain). The items on the CPAQ are rated on a 7-point scale from 0 (never true) to 6 (always true). The CPAQ-R has demonstrated very good to excellent internal consistency, with alphas of 0.82 (activity engagement) and 0.78 (Pain willingness). In the Iranian sample, internal consistency of the scale was α = 0.80.
Pain intensity scale
In this study, pain intensity using the subscale of the pain intensity in the multidimensional pain inventory was measured. This subscale consists of three items and its reliability and validity in Iranian patients with chronic pain have been approved. Pain intensity scale must be measured on a 7-point Likert scale ranging from 0 to 6. Higher scores indicate more severe pain.
Descriptive analysis was indicated as the mean and standard deviation (SD). To examine the structural model between variables, the proposed conceptual model using SEM method was fitted in analysis of moment structures (AMOS) (Byrn, Translated by Hosainzadeh et al, 2011) software. The parameters of the model have been estimated maximum likelihood method.
| Results|| |
A total of 176 respondents with mean ± SD age of 34.22 ± 10.86 years; 142 (80.6%) female; and 130 (73.8%) married were included in the study. The description of main variables in the current study for participants was presented in [Table 1]. As can be seen in the table, maladaptive strategies had higher mean; the highest mean was related to rumination, and the lowest was related to planning refocusing. In relation to the negative emotions, stress had the highest mean.
|Table 1: Mean, standard deviation, Cronbach’s alpha coefficients, and range of study variables|
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To examine the relationship between variables, the mentioned conceptual model was fitted in AMOS software. In [Figure 2], the fitted model with standard coefficients related to the direct effects of each factor is shown.
|Figure 2: The fitted model with standard coefficients related to the direct effects of each factor|
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The goodness of fit of the model was investigated by statistics of normed fit index, goodness-of-fit index, root mean square error of approximation, and comparative fit index. The statistics amounts of goodness of fit are illustrated in [Table 2].
The estimation of standard coefficients of the direct and indirect effects in the model is shown in [Table 3]. Statistical test of SEM coefficients done using bootstrap method, a nonparametric statistical method based on resampling of the data to estimate the accuracy of the parameters' estimations. In this method, a new sample will be drawn from the original samples by replacement and an estimation of parameters will obtain by fitting the model to the new data. This procedure will be repeated B times to achieve B different estimation of the parameters (in this study B = 1000). The empirical distribution of the parameters estimation can be used as an estimation of their true distribution.
|Table 3: The estimation of standardized coefficients of the direct and indirect effects|
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According to [Table 3], pain intensity has a direct and significant relationship with maladaptive strategies. In addition, maladaptive strategies have direct and significant relationships with negative emotions, and negative emotions have significant and inverse relationships with pain acceptance, but pain acceptance does not have a significant relationship with pain intensity. Although pain intensity does not have a significant relationship with adaptive strategies; however, the strategies have significant relationships with negative emotions inversely and with pain acceptance.
Furthermore, there are significant and indirect relationships between pain intensity and negative emotions and each of its factors. In fact, emotion regulation strategies to be considered as the mediating variables between negative emotions and pain intensity. As shown in table, the standard coefficient between pain intensity and negative emotions 0.323 has been obtained. This means that with increasing severity of pain, maladaptive strategies will increase and as a result, negative emotions will also increase (relationship between pain intensity and negative emotions through adaptive strategies is not significant because direct relationship between pain intensity and adaptive strategies was not significant). Although there are significant and direct and indirect relationships between pain acceptance and emotion regulation strategies, based on the obtained results, the adequate evidence is not available about a significant indirect relationship between pain intensity and pain acceptance.
| Discussion|| |
In accordance with the main aim of the study, we examined the structural model of pain, cognitive emotion regulation strategies, and negative emotions based on the proposed conceptual model in FGID patients. The model emphasized the mediatory role of emotion regulation strategies in the relationship between pain intensity and negative emotions, and on the other hand, relationship pathway of the strategies toward pain acceptance examined through the mediating of negative emotions.
The results showed that there are significant relationships between most factors such as pain intensity and acceptance with emotion regulation strategies, the strategies with negative emotions, and negative emotions with pain acceptance. The findings are in line with some previous studies that have shown the relationship between pain intensity with emotion regulation strategies,, emotion regulation strategies with negative emotions,,, and negative emotions with pain acceptance.,
The structural model revealed that emotion regulation strategies are as a mediator. Unlike the proposed conceptual model, pain intensity did not have direct relationships with negative emotions. However, there were indirect relationships between them. In fact, emotion regulation strategies to be considered as the mediating variables between pain intensity and emotions (depression, anxiety, and stress). Pain intensity predicts changes in negative emotions only through maladaptive cognitive strategies. This means that the higher severity of pain, the more the maladaptive strategies is used and as a result, negative emotions will increase. These findings are consistent with similar studies emphasizing the mediatory role of emotion regulation strategies in between different psychological and/or somatic factors.,,
Research has revealed that the employment of adaptive emotion regulation strategies causes a reduction of stress-elicited emotions leading to physical disorders. While dysfunctional strategies, in particular, rumination and suppression appear to be influential in the pathogenesis of depression and physiological disease. In reality, emotional regulation mediates the role between depression and further psychological and/or somatic illness. Furthermore, it has shown that emotion regulation strategies have the mediating role on the relationship between attachment styles and alexithymia. In the intermediate role of cognitive emotion regulation strategies in the relationship between emotional intelligence and individual compatibility, it has found that two emotion regulation aspects, acceptance and rumination, play a significant intermediate role for emotional intelligence and individual compatibility. Experimental research has also shown that affect-based treatments and/or interventions based on emotion regulation are effective in reduction severity of somatic symptoms in addition to emotional.,
Moreover, the model showed that when adaptive/maladaptive cognitive strategies are utilized more/less, negative emotions will decrease/increase, and the higher negative emotions, the less pain acceptance becomes. In the context of pain, acceptance has been found to be associated with decreased pain and distress in response to thoughts about or presentation of a pain-inducing stimulus. The acceptance of chronic pain is thought to reduce unsuccessful attempts to avoid or control pain and thus focus on engaging in valued activities and pursuing meaningful goals., In fact, chronic pain patients' well-being is closely tied to the maintenance of life activities which presupposes an accepting attitude toward pain.
The presence of pain as an inner feeling is unpleasant and affects the person adjustment. Hence, it seems reasonable that the more pain intensity, the loss pain acceptance reduces. Regardless of the direct relationship between pain intensity and pain acceptance, it was expected that the study model supports the mediatory role of emotion regulation strategies in the relationships between pain intensity and pain acceptance, but it was not confirmed. In explaining this result, it can be argued that other influential factors (psychological, somatic, and cultural) may affect the relationship between pain intensity and acceptance in FGIDs. In this regard, we can mention that pain in FGIDs is not the main symptom lonely, but it is accompanied with other various and heterogeneous symptoms such as changes in bowel movements, belching, and flatulence. On the other hand, gastrointestinal pains are mostly intermittent and periodic. Alternation of pain accompanied by other symptoms can affect pain acceptance.
The limitations of this study were reliance on self-report data which may recall bias regarding information, and also noncontrolling other factors that may affect the relationships between variables. In addition, investigation of the relationship of each of cognitive strategies with other research variables was not considered due to the complexity of the model. Some indicators of goodness of fit were slightly lower than the range proposed; this situation suggests adjusting of the model, but there was no possibility of doing it due to the limited sample size.
| Conclusions|| |
The main conclusion of the present study is that the cognitive emotion regulation strategies to be related to pain and emotions as predicted. In fact, the findings revealed the important role of cognitive strategies in physical and psychological health. Hence, take into consideration cognitive strategies for controlling chronic diseases such as FGIDs that psychological factors play a significant role in them can be beneficial. With this aim, interventions based on emotion regulation are promising to improve physical symptoms such as pain. Since maladaptive strategies with pain intensity and adaptive strategies with pain acceptance associated mainly, it seems wise, for targets of intervention to focus not only on reduction utilizing maladaptive strategies but also on increase utilizing adaptive strategies. Additional research is needed to clarify the processes underlying relationship between pain intensity and acceptance.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| Authors' Contribution|| |
MM contributed to the conception of the work, conducting the study, drafting and revising the draft, and agreed for all aspects of the work. HRR contributed to the conception of the work, and drafting and revising the draft. MM conducted the statistical analysis. HA contributed to the conception of the work, and drafting and revising the draft. All authors read and approved the final version of the manuscript.
| References|| |
Drossman DA, Corazziari E, Delvaux M, Spiller RC, Talley NJ, Thompson WG, et al
. Rome III: The Functional Gastrointestinal Disorders. 3rd
ed. McLean, VA: Degnon Associates; 2006.
Bouin M, Meunier P, Riberdy-Poitras M, Poitras P. Pain hypersensitivity in patients with functional gastrointestinal disorders: A gastrointestinal-specific defect or a general systemic condition? Dig Dis Sci 2001;46:2542-8.
Gatchel R, Turk D. Psychological approaches to pain management: A Practitioner's Handbook. The Guilford Press; 1996.
Woo KY. Chronic wound-associated pain, psychological stress, and wound healing. Surg Technol Int 2012;22:57-65.
Linton SL, Shaw WS. Impact of psychological factors in the experience of pain. Phys Ther2011;91:700-11.
McCracken LM, Keogh E. Acceptance, mindfulness, and values-based action may counteract fear and avoidance of emotions in chronic pain: An analysis of anxiety sensitivity. Pain 2009;10:408-15.
Wade JB, Price DD, Hamer RM, Schwartz SM, Hart RP. An emotional component analysis of chronic pain. Pain 1990;40:303-10.
Rainville P, Viet Huynh Bao Q, Chretien P. Pain-related emotions modulate experimental pain perception and autonomic responses. Pain 2005;118:306-18.
McCracken LM, Zhao-O'Brien J. General psychological acceptance and chronic pain: There is more to accept than the pain itself. Eur J Pain 2010;14:170-5.
Kranz D, Bollinger A, Nilges P. Chronic pain acceptance and affective well-being: A coping perspective. Eur J Pain 2010;14:1021-5.
Wiech K, Tracey I. The influence of negative emotions on pain: Behavioral effects and neural mechanisms. Neuroimage 2009;47:987-94.
Carson JW, Keefe FJ, Lowry KP, Porter LS, Goli V, Fras AM. Conflict about expressing emotions and chronic low back pain: Associations with pain and anger. J Pain 2007;8:405-11.
Lombardo ER, Tan G, Jensen MP, Anderson KO. Anger management style and associations with self-efficacy and pain in male veterans. J Pain 2005;6:765-70.
Vangronsveld KL, Peters M, Goossens M, Vlaeyen J. The influence of fear of movement and pain catastrophizing on daily pain and disability in individuals with acute whiplash injury: A daily diary study. Pain 2008;139:449-57.
Bair MJ, Robinson RL, Katon W, Kroenke K. Depression and pain comorbidity: A literature review. Arch Intern Med 2003;163:2433-45.
Connelly M, Bromberg MH, Anthony KK, Gil KM, Franks L, Schanberg LE. Emotion regulation predicts pain and functioning in children with juvenile idiopathic arthritis: An electronic diary study. J Pediatr Psychol 2012;37:43-52.
Robinson ME, Riley JP 3rd
. The role of emotion in pain. In: Gatchel RT, Turk DC, editors. Psychosocial Factors in Pain: Critical perspective. New York: Guilford Press; 1999. p. 74-88.
McCleary JA. Irritable Bowel Syndrome Pain-related Behaviors and Pain Coping Strategies as Predictors of Women' s Daily Activities. PCOM Psychology Dissertations, Paper 99; 2007.
Affleck G, Tennen H, Urrows S, Higgins P, Abeles M, Hall C, et al
, Newton C. Fibromyalgia and women's pursuit of personal goals: a daily process analysis. Health Psychol 1998;17(1):40-7.
Hamilton NA, Karoly P, Kitzman H. Self-regulation and chronic pain: The role of emotion. Cogn Ther Res 2004;28:559-76.
Garnefski N, Kraaij V, Spinhoven P. Negative life events, cognitive emotion regulation and depression. Pers Individ Dif 2001;30:1311-27.
Jermann F, Van der Linden M, d'Acremont M, Zermatten A. Cognitive emotion regulation questionnaire (CERQ): Confirmatory factor analysis and psychometric properties of the French translation. Eur J Psychol Assess 2006;22:126-31.
Garnefski N, Kraaij V. The Cognitive Emotion Regulation Questionnaire: Psychometric Features and Prospective Relationships with Depression and Anxiety in Adults. Eur J Psychol Assess 2007;23(3):141-9.
Braams BR, Blechert J, Boden MT, Gross JJ. The effects of acceptance and suppression on anticipation and receipt of painful stimulation. J Behav Ther Exp Psychiatry 2012;43:1014-8.
Dan-Glauser ES, Gross JJ. The temporal dynamics of two response-focused forms of emotion regulation: experiential, expressive, and autonomic consequences. Psychophysiology, 2011;48(9):1-14.
Aldao A, Nolen-Hoeksema S, Schweizer S. Emotion-regulation strategies across psychopathology: A meta-analytic review. Clin Psychol Rev 2010;30:217-37.
Agar-Wilson M, Jackson T. Are emotion regulation skills related to adjustment among people with chronic pain, independent of pain coping? Eur J Pain 2012;16:105-14.
Paquet C, Kergoat MJ, Dubé L. The role of everyday emotion regulation on pain in hospitalized elderly: Insights from a prospective within-day assessment. Pain 2005;115:355-63.
Masedo AI, Esteve RM. Effects of suppression, acceptance and spontaneous coping on pain tolerance, pain intensity and distress. Behav Res Ther 2007;45:199-209.
Heiy JE. Emotion Regulation Flexibility: An Exploration of the Effect of Flexibility in Emotion Regulation on Mood.[Thesis]. The Graduate School of the Ohio State University; 2010.
Lovibond PF, Lovibond SH. The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behav Res Ther 1995;33:335-43.
Samani S, Jokar B. the evaluation of validity and riability of short form of depression, anxiety, stress scale (DASS). J Soc Humanit Sci Shiraz Univ 2007;26:65-76.
Garnefski N, Teerds J, Kraaij V, Legerstee J, van den Kommer T. Cognitive emotion regulation strategies and depressive symptoms: Differences between males and females. Pers Individ Dif 2004;36:267-76.
Garnefski N, Kraaij V. Cognitive emotion regulation questionnaire – Development of a short 18-item version (CERQ-short). Pers Individ Dif 2006;41:1045-53.
Hassani J. The evaluation of validity and reliability cognitive emotion regulation questionnaire short form. J Behav Sci 2011;9:229-40.
McCracken LM, Vowles KE, Eccleston C. Acceptance of chronic pain: Component analysis and a revised assessment method. Pain 2004;107:159-66.
Mesgarian F. The psychometric properties of the Persian version of the chronic pain acceptance questionnaire in Iranian chronic pain patients [Thesis]. Tehran, Iran: Shahed University; 2010.
Asghari-Moghaddam M, Gleck N. Psychometric characteristics of pain multidimensional checklist in Iranian population with chronic headache. Psychology 2008;18:50-72.
Byrn BM. Structural equation modeling with AMOS: Basic concepts, applications, and programing. Translated by Hosainzadeh H, Erfani H, Shamsi Koshki S, Mehdi Mohammadi S. Shiraz Islamic Azad University Press, 2011.
Garnefski N, Kraaij V. Relationships between cognitive emotion regulation strategies and depressive symptoms: A comparative study of five specific samples. Pers Individ Dif 2006;40:1659-69.
Compare A, Zarbo C, Shonin E, Van Gordon W, Marconi C. Emotional regulation and depression: A potential mediator between heart and mind. Cardiovasc Psychiatry Neurol 2014;2014:324374.
Besharat MA, Salimian Rizi MM. The relationship between attachment styles and alexithymia: Mediating role of self-regulation. Int J Psychol Behav Res 2014;3:89-98.
Aghajamali R, Sohrabi N, Samani S. The mediated role of cognitive emotion regulation in the relationship between emotional intelligence and individual compatibility. Reef Resources Assessment and Management Technical Paper 2014; 40: 787-95.
Allen LB, Tsao JC, Seidman LC, Ehrenreich-May J, Zeltzer LK. A unified, transdiagnostic treatment for adolescents with chronic pain and comorbid anxiety and depression. Cogn Behav Pract 2012;19:56-67.
Bergdahl J, Armelius K, Armelius BA. Affect-based treatment and outcome for a group of psychosomatic patients. Sweden: Department of Applied Psychology; 2000. p. 16-1.
Hayes SC, Strosahl KD, Wilson, KG. Acceptance and Commitment Therapy: An experiential approach to behavior change. New York: Guilford Press 1999.
McCracken LM, Vowles KE, Eccleston C. Acceptance-based treatment for persons with complex, long standing chronic pain: A preliminary analysis of treatment outcome in comparison to a waiting phase. Behav Res Ther 2005;43:1335-46.
Kranz D, Bollinger A, Nilges P. Chronic pain acceptance and affective well-being: A coping perspective. Eur J Pain 2010;14:1021-5.
[Figure 1], [Figure 2]
[Table 1], [Table 2], [Table 3]