A Comparison Between the Effectiveness of Acceptance and Commitment Treatment and Behavioral Activation Treatment for Depression on Symptoms Severity and Rumination Among Patients with Treatment-Resistant Depression

authors:

avatar Rahim Bagherzadeh Ledari 1 , avatar Abbas Masjedi ORCID 1 , * , avatar Maryam Bakhtyari 1 , avatar Mehran Zarghami 2 , avatar Robabeh Nouri 3 , avatar Hamzeh Hosseini ORCID 4

Department of Clinical Psychology, Shaid Beheshti Medical University, Tehran, Iran
Psychiatry and Behavioral Sciences Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran
Department of Clinical Psychology, Kharazmi University, Tehran, Iran
Department of Psychiatry, Mazandaran University of Medical Sciences, Sari, Iran

how to cite: Bagherzadeh Ledari R, Masjedi A, Bakhtyari M, Zarghami M, Nouri R, et al. A Comparison Between the Effectiveness of Acceptance and Commitment Treatment and Behavioral Activation Treatment for Depression on Symptoms Severity and Rumination Among Patients with Treatment-Resistant Depression. Iran J Psychiatry Behav Sci. 2018;12(3):e10742. https://doi.org/10.5812/ijpbs.10742.

Abstract

Background:

A group of patients with depression do not show proper treatment response to merely biological interventions.

Objectives:

The aim of this study was to investigate the effectiveness of add on acceptance and commitment treatment (ACT) and brief behavioral activation therapy for depression (BATD) to pharmacotherapy in treatment-resistant depression (TRD).

Methods:

The study was conducted in Sari and Babol (North of Iran), during year 2016. In this study, the method of multiple baseline was used. Twelve patients, including eight females and four males, having level 2 European staging model, were randomly selected and entered the study after an interview by a psychiatrist and conducting SCID-I -SCID-II and checking the inclusion and exclusion criteria. They were randomly entered in 12 sessions of ACT or BATD. The data obtained were analyzed through the method of visual outline, reliable change index (RCI), effect size, and improvement percentage formula.

Results:

The results of this study showed that the ACT and BATD were useful for improving treatment targets. These results were statistically significant according to the RCI index. The earned effect size varied from 1 to 3.33.

Conclusions:

The results of this study provided greater evidence for ACT and BADT. Also, the present study supports the role of trans-diagnostic approaches as an add on to in TRD.

1. Background

Depression is a prevalent disorder. Its lifetime prevalence is between 4.4% to 20% in the general population. Kessler et al. estimated the economic cost of lack of productivity due to depression in America as more than 36 billion dollars (1). A large burden of damages caused by depression is probably related to treatment resistant depression (TRD). Several reasons could be suggested for this claim. First, considering response therapy as a criterion, 20% to 30% of patients do not respond to treatment and considering remission as a criterion, 50% to 60% of patients are not improved. Second, the duration and severity of disorder, which are both high in resistant depression, are important determinants of the burden of the disease. Third, resistant depressed patients are more likely to have simultaneous physical and mental disorders, which lead to obvious and continuing deficiencies in their performance and impose a lot of costs on the health system (2).

Resistance to treatment is the main concern in treatment of depressive disorders. Resistant-treatment depression is a term for describing the failure of therapy in a group of patients with MMD based on DSM-IV-TR or persistent depressive disorders in DSM-V after at least two trials of anti-depressive medications with enough doses and duration. The direct and indirect cost of resistant to treatment depression is higher than MDD patients, up to 40% to 50% (3).

Furthermore, STAR-D studies found that only 30% of MMD patients were improved in a trial attempt with antidepressant medication. The rate of remission for four successive trials was lower than this (4). From the psycho-social aspect, people with TRD have features, which make them prone to persistent depression. These people, compared with MMD, have more negative affect and dysfunctional cognitions (5). Teasdale proposed that perceived criticism strongly predicts depression recurrence and people with interpersonal problems experience severe and longer depressions (6).

However, fortunately, there are evidences, which imply that “Third Wave” therapy could be effective on chronic and recurrent depression and personality disorder. By weakening unhelpful verbal representations resulted from experiences and encouraging the patient to live at the present moment and promoting actions consistent with long term values, Act uses several methods for increasing psychological flexibility (7). The theory of ACT, primarily relates psychopathology to the lack of psychological flexibility, which is the result of experiential avoidance and problematic actions to control the inner experiences and fusion with thoughts and emotions. Psychological flexibility means the ability to contact moments of life and changing or stabilizing behavior. A behavior, which depends on a situation, is consistent with the values of the individual. In other words, ACT helps individuals have a more rewarding life, despite unpleasant thoughts, feelings, and emotions (8).

Another effective treatment for depression is behavioral activation. One of the models of behavioral activation, which was introduced by Lejuez et al. in 2001, is known as brief behavioral activation treatment for depression (BATD). The aim of BATD is to increase patient’s contact with healthy behavior, so that healthy behaviors are increased and depressed behaviors are decreased (9). The effectiveness of behavioral activation on patients with depression has been shown as compared to cognitive therapy and pharmacotherapy (10). Studies also reported the effectiveness of ACT compared to cognitive therapy (7) and other interventions (11).

2. Objectives

The current study investigated the effectiveness of ACT based on the fact that acceptance-based behavior therapies have been effective in patients with severe depression and TRD (7), and ACT among other acceptance-based behavior therapies (mindfulness- based cognitive therapy, dialectical behavior therapy) has received great attention in empirical studies and scientific debates (11) and its effectiveness on mood disorders has been indicated (8). Also, ACT was explored due to comorbidity in TRD patients (2) and that the ACT and behavioral activation due to their trans-diagnostic nature do not require distinguishing primary and secondary disorder, hence the evaluation and treatment of anxiety disorders and depression can be done in a better way. Furthermore, it is important to mention that there is no published source or conducted study either that has either distinctively or comparatively examined the effectiveness of ACT and BATD for TRD. Therefore, according to reviewing the existing research resources in Iran, the present study aimed at answering the following questions to optimize the treatment in patients with TRD using a case study: Is there any difference between the effectiveness of ACT and BATD in reducing symptom severity among patients with TRD? Is there any difference between the effectiveness of ACT and BATD in reducing rumination among these patients?

3. Materials and Methods

In this study, the method of multiple baseline was used (12). The samples, which were selected through accidental sampling consisted of all patients referring to two private psychiatric offices of Sari and a private consultant center of Babol (North of Iran). They were diagnosed with major depressive disorder and TRD based on a diagnostic interview conducted by a psychiatrist and referred to a clinical psychologist for conducting SCID-CV. The inclusion criteria included age of 18 to 60 years old, holding at least high.

School diploma, taking adequate doses of at least two anti- depressant drugs at least for 18 weeks without response to the treatment, scoring higher than 14 on BDI-II, and no change in the drug regiment from the past six weeks. Also, those, who had any of the following conditions were excluded from the present research: patients with psychotic spectrum, postpartum depression, substance abuse or substance dependence disorders, pervasive developmental disorders or intellectual disability, the presence of full criteria of personality disorders of cluster A, antisocial and borderline personality disorders of cluster B diagnosed by a psychiatrist based on diagnostic interview and clinical psychologist’s diagnosis according to the results of SCID-II(CV), co-occurrence of physical illnesses, which make attending the research difficult, receiving any psychological intervention in the past six months and the time of the study, and eventually the presence of self-harm and suicidal ideas.

Due the possibility of participants’ drop-out of the study, 12 patients were randomly selected after obtaining informed written consent, and then they were randomly divided to two groups of ACT and BATD. Two patients from the ACT group and three patients from the BATD group withdrew from the therapy during the baseline phase due to problems, such as far distance of their residence. In accordance with the principles of the single case study with non-concurrent multiple baseline design, selected samples were simultaneously entered in the baseline .They differed only in the number of the baseline phase. This means that patients in group one (patients one, two and five) had three baselines, patients in group two had five baselines (patients three and six), and patients in group three had seven baselines (patients four and seven).

Evaluating the effectiveness of ACT and BATD, the researcher employed the ACT and BATD protocol with 12 one-hour sessions developed by Zttel’s and Lejuez et al., respectively (the protocol content of two treatments is summarized in Table 1) (8, 9). Both therapies were conducted by a person, who was a PhD student in clinical psychology.

Table 1.

The Summary of Treatments Protocol Related to ACT and BATD

SessionsBATDACT
1Introducing behavioral activation -explanation of depression / Introducing the rational of the treatment, daily monitoring and rating of enjoyment and importance.Introduction to ACT-Verification of presenting problem-.Obtaining client’s life story-Identification of therapeutic goals and relationship to values.
2Daily monitoring: Review of assignment and problem solving / Treatment rationale: review / Complete life areas, values.To increase client awareness of emotional control-The introduction of willingness and acceptance as an alternatives to experiential control.
3Daily monitoring and review assignment/ Life checklist in different domains, values and activities and review assignment / Activity selection and ranking.The introduction of defusion method.
4Daily monitoring and review assignment./ Daily monitoring with activity planningEmploying the defusion for self - evaluation and reason giving-The introduction of mindfulness.
5Daily monitoring with activity planning: review assignment / Contracts / Daily monitoring with activity planning for the upcoming week.Employing the defusion for life stories -The use of mindfulness in daily activities and self as context metaphor- clarify the values.
6Daily monitoring with activity planning: review assignment / Contracts: review assessment / Daily monitoring with activity planning for the upcoming week.To complete defusion from the life story-Breathing mindfully- To further promote a transcendent sense- To complete defusion from the life stories.
7Daily monitoring with activity planning: review assignment / Life areas, values, and activities inventory: concept review and edit / Daily monitoring with activity planning for the upcoming.The use of the mindfulness for thought and feeling To identify value-congruent goals / To initially instigate related committed action.
8Daily monitoring with activity planning: review assignment / Activity selection and ranking: concept review and edit / Daily monitoring with activity planning for the upcoming week.To determine the status of further mindfulness training / To clarify the nature of commitment / To further address ways of managing barriers to committed action and its promotion.
9 - 11Daily monitoring with activity planning: review assignment / Contracts: Concept Review and Edit / Daily monitoring with activity planning for the upcoming week.To promote the continuation of value-directed activities- To increase willingness to experience unwanted thoughts and feelings surrounding persistent committed action- To clarify distinction between the process and outcomes of committed action- To further promote mindfulness
12Daily monitoring with activity planning: review assignment / Daily monitoring with activity planning for the upcoming week / Preparing for the end of treatment / Assignment: / Daily monitoring with activity planning: review assignment / Continue adding / editing contract.To process the reaction of you and your client to treatment termination / To review ACT-consistent strategies and techniques / To promote the post-termination maintenance of therapeutic gains

3.1. Measures

3.1.1. Structured Clinical Interview for DSM-IV to Assess the DSM-IV Axis I Disorders (SCID-I)

The SCID-I is a standardized and comprehensive tool, which facilitates the assessment process and also provides a reliable and valid clinical interview. The Kappa value (0.7) has been reported for most diagnoses. The Persian clinician version of the SCID-I has favorable reliability with kappa higher than 0.95 for one week (13).

3.1.2. Structured Clinical Interview for Axis II Disorders (SCID-II)

The SCID-II is a semi-structured diagnostic interview used to assess axis II personality disorders. The Kappa coefficient was found to be 0.53 (14). The content validity of the Persian version was confirmed by psychology professors and its test-retest reliability was reported as 0.87 for a one-week interval (15).

3.1.3. Beck’s Depression Inventory- II (BDI-II)

This inventory includes DSM-IV diagnostic criteria for depression and has shown good psychometric properties. The results have shown a high internal consistency (a = 0.92, 0.93 respectively) and a test-retest reliability (r = 0.93) was also reported. The BDI-II Persian version has demonstrated good internal consistency (a = 0.87) and acceptable reliability (r = 0.74) (16).

3.1.4. Ruminative Response Scale (RRS)

The RRS is a self-report scale with 22 items that assess the rumination and the tendency towards rumination as a response to depressive mood. The reliability coefficient of the scale varied from 0.88 to 0.92, using Cronbach’ alpha and the test-retest reliability was 0.67. Internal consistency of the Persian version was computed for the Iranian population and its Cronbach’s alpha coefficient was 0.88 (17).

4. Results

Characteristic features of the enrolled patients are shown in Table 2. Like most single-case designs, for analyzing the results of this study, several methods were used. One of these methods is standard of visual inspection, through which, changes observed in patients were investigated by assessment tools at different phases of baseline, during therapy, follow-up after six weeks by patterns of visual inspection of changes with BDI-II and RRS. Also, for calculating the reliability of statistical change, the RCI index was used. Results obtained from patients in target variables are shown on Tables 3 and 4, Figures 1 and 2. The Table 3 shows that, in the phase of baseline, the mean score of BDI-II in all patients was above 21. Except for the fourth and sixth patient, whose depression is in a moderate range, other patients’ depression was in the severe range before treatment.

Table 2.

Demographic and Clinical Characteristics of the Enrolled Patients

PatientsAgeGenderEducationJobMarital StatusTime Duration of Depression, YPsychiatric ComorbidityMedical BackgroundsConsuming Drugs at the Moment and Their Duration of Time
136FemaleElectricity, B.ScEmployeeSingle6OCD- Narcissistic personality disorder2 times hospitalized, 2 phases ECT-Three times attempting to suicideCitalopram 40- lamotrigine 200 bupropion 300- maprotiline 225- 7 month
243FemaleDiplomaHomemakerMarried18GAD- social phobia- avoidant personality disorderConsuming of sertraline, buspirone, bupropion, clonazepam and ritalin- 4 times hospitalization- several times ECTSertraline 250- bupropion 300- clonazepam 1- 9 months
340FemaleDiplomaHomemakerMarried16GAD- panic disorder- dependent personality disorderVarious drugs such as sertraline, venlafaxine, buspirone, TCA- prazosin and aripiprazole in the last 2 yearsVenlafaxine 200- buspirone 20- clonazepam 1 mg- 5 months
437MaleDiplomaWorkerMarried8OCPDSSRI- SNRI- bupropionFluoxetine 40- bupropion 300- 4 months
534FemaleDiplomaHomemakerMarried13OCDSSRI- SNRI- TCA- BupropionSertraline 150, topiramate 150-propranolol 20 mg- 1 year
630FemaleB.ScHomemakerMarried4Dependent personality disorderSSRI- SNRI- atypical antipsychoticVenelafaxine 200- fluvoxamine300- 1 year
733FemaleDiplomaHomemakerMarried6GAD- avoidant personality disorderSSRI- TCA- lithium-T3Sertraline 200- oxcarbazepine 50- clordiazpoxide 10 mg- 4 month
Table 3.

The Scores of Patients and the Rate of Improvement in the Target Variable at the Baseline and During the 45 Days of Follow- Up

MeasuresPatients
1234Total %of Improvement567Total %of Improvement
BDI-IIPT = 64, FU = 71PT = 34 FU =32
BL35333021352632
PT520172192320
%of improvement85394490511338
FU318150182520
% of improvement91465010053538
RCI8/966/606/848/807/523/238/70
RRSPT = 41, FU = 45PT = 17, FU = 21
BL67596545536964
PT31463236455951
% of improvement53265928161521
FU33443029425848
% of improvement50266241211726
RCI2/502/112/874/302/682/693/19
Average improvement, %PT = 52.5, FU = 58PT = 25.5, FU = 26.5
Table 4.

Descriptive Statistics and Effect Sizes for Outcome Variables a Post-Treatment 45-Days Follow Upa

GroupMeasuresNo.Pre-TreatmentPost-TreatmentFollow-UpEffect Size Pre-Post, Hedges’gEffect Size Pre-Follow, Hedges’g
ACTBDi-II430.25 ± 6.111 ± 7.69 ± 7.62.422.68
PRS463.5 ± 11.635.75 ± 3.434 ± 5.72.822.63
BATDBDi-II332.66 ± 3.720.66 ± 1.721 ± 2.93.332.80
PRS361.33 ± 8.151.66 ± 7.249.33 ± 6.61.001.29
The scores of patients in BD I-II at baseline, therapy and 45 days of follow-up
The scores of patients in BD I-II at baseline, therapy and 45 days of follow-up
The scores of patients in RRS at baseline, therapy and 45 days of follow-up
The scores of patients in RRS at baseline, therapy and 45 days of follow-up

Observing Figure 1 indicates that the patients’ BDI-ll scores in ACT and BATD group in the absence of the psychological intervention was almost consistent. However, by changing the phase from base line to therapeutic intervention, particularly in the ACT group, a gentle and continuous slope was observed to the end of the treatment. At the end of therapy, patient’s BDI-II decreased to below 20% in the sixth patient. In the stage of follow-up, a greater decrease in BDI-II score in the ACT group was observed.

Also, what can be inferred from Figure 2 is a dramatic improvement of rumination scores in the ACT group compared with the behavioral activation group. The slope of this change started from the third session in the ACT group and except for the first patient, it continued to the end of the treatment and follow-up phase. The slope of change in the BATD group was slower and started from the sixth session onwards. Table 3 shows that after the treatment, patient’s rumination in ACT and BATD group had 41% and 17% improvement, respectively. In the follow-up phase, this improvement increased to 45% and 21%, respectively. According to the obtained RCI, which was above 1.96, in all patients in the follow-up phase, it can be concluded that therapeutic interventions increase the effect of pharmacotherapy in TRD patients (12).

As shown Table 3, the rate of improvement at the end of the treatment in ACT and BATD groups was 52.5 % and 25.5%, respectively. In the follow-up phase, this reached 58% and 26.5% in ACT and BATD groups, respectively. According to the amount of RCI, all patients’ target variables at the follow- up phase were above 1.96 compared to the baseline, which is an indication of statistical significance.

The patients’ RCI showed that these changes are not the result of unreliability of the tests and treatment could increase the patients’ improvement. Also, the success of therapies is different from each other, and ACT was superior to other therapies.

In this study, for calculating the effect size, Hedges was used. The effect size obtained from Hedges is interpreted similar to Cohen’s d (0.20 = small, 0.50 = medium, 0.80 = large). In Table 4, the average, standard deviation, and acceptable effect size of patients in two groups at different stage of study were observed. Here, greater reduction in the average of depression severity and rumination in post-treatment and follow-up phase were observed in the ACT group compared with the BATD group (18).

Independent evaluation at the end of follow-up phase was done by a psychiatrist. The rate of improvement in acceptance and commitment group and behavioral activation group was estimated as 72% and 43%, respectively. On the other hand, the fidelity of therapist to the therapeutic protocol was also approved.

5. Discussion

The first aim of this study was to determine the effectiveness of settle’s ACT protocol for depression (8) and BATD for depression (9) on add on pharmacotherapy in TRD and then make a comparison between these two treatment methods .The important finding of this study was that, as shown in the Table 3 and Figures 1 and 2, the target variables of all patients at the very beginning was above the cut of point. Regardless of the number of patients at baseline before treatment, despite at least seven to ten weeks of pharmacotherapy, the target variables were almost constant. This does not mean pharmacotherapy had no effectiveness, since there is no information about the variable scores of the patients at least in the first 18 weeks before the start of study. Therapeutic changes started with different speeds in both groups. The average rate of improvement in the two variables in the ACT and BATD were 52.5%, 25.5%, 58%, and 26.5% at the end of the treatment and in the follow-up phase, respectively. However, the severity of the depression in the second, third, fifth, and seventh patient in the follow-up phase was mild and in the sixth patient it was moderate.

The remarkable result is that the intensity of depression improved more during the follow-up phase rather than the end of the treatment in the ACT group, which is a common finding of studies related to the effectiveness of ACT (7). It should be noted that at the follow-up phase, one of the first patients reported that in early treatment, they completely stopped taking their medication and the second patient reduced the dosage of Sertraline to 50 mg a day. Also, effect size post-treatment in both groups was large and this power was maintained in the follow-up phase. Improvement in depression and rumination in the BATD group is consistent with other study findings. Although, the published literature regarding application of BATD and ACT in TRD is limited, the findings of the current study are to some extent consistent with Bottonari et al.’s findings. They treated a 62-year-old patient diagnosed with TRD. He had comorbid disorders, and also unsuccessful long background of pharmacotherapy, electric shock, and cognitive therapy (19). Also, Marial et al. reported that behavioral activation therapy leads to rumination reduction in patients under their therapy (20). Moreover, improvement in the BATD group was similar to Dobson et al.’s extended findings, which compared behavioral activation therapy with CBT and antidepressant medication. The findings of this study showed a significant improvement in depression and rumination (10).

Improvement in the BATD group and even the ACT group could have been due to a reduction in avoidance, which is consistent with the conceptualization of depression that has been proposed by these therapies (8-10). It was stated that behavioral activation tries to reverse the cycle between depression and avoidance through providing various sustainable sources of reinforcement (21). Behavioral activation states three basic premises, including activity of rewarding activity increases positive reinforcement, the positive reinforcement leads to a reduction in symptoms of depression, and the positive reinforcement is a mediator between the activity and depressive symptoms (22). The avoidance of the fifth and seventh patient, who showed a better improvement than the sixth patient in all indexes was supported by their environment, as is clear in the rumination index. The findings of this study is compatible with previous studies, which indicated that activation can lead to changes in beliefs and cognitions, which are essential elements in long term emotional and behavioral changes (22, 23). Kanter believed that changes in rumination are the direct result of activity increase (20). The usefulness of behavioral activation can be proposed by another explanation as well. Behavioral activation can create positive emotions, such as pride, honor, sharpness, etc. that can support individuals against negative life events and enhance their resistance to those events (24). Improvement in depression and rumination index in the ACT group is in accordance with Clark et al.’s findings, which investigated the efficacy of CBT and ACT in 45 treatment resistant patients, in which the results showed the priority of ACT in the follow-up phase (7). Also, the current findings is in accordance with Yovel et al.’s findings, which showed that the ACT method leads to a reduction in rumination (25). Even though ACT does not directly aim at reducing depression as a goal, the therapeutic elements, such as diffusion, value directed behaviors and mindfulness, all reduced depression in this study, indirectly. This finding is in accordance with other study findings (26, 27). Further improvement in the severity of depression at follow-up compared to post-treatment (71% versus 64%) is consisted with the results of other studies in the ACT field or other third wave therapies, which use mindfulness (7). In explanation of the results, it can be said that ACT considers depression and emotional problems as a result of experiential avoidance, which appears in case of lack of willingness to stay and having contact with private experiences and trying to get rid of this annoying experience ranging from negative emotions and painful memories. In the theory of ACT, experiential avoidance is the result of a verbal process like “depression is bad”, “I cannot endure these feelings”, and “I must always be happy”.

Experiential avoidance lead to psychological inflexibility and usually greater suffering. However, hexaflex processes, which are used in ACT, lead to reduction of avoidance and an increase of psychological flexibility. Also, it has been stated that depressed patients usually tend to find reasons for their depression and this leads to more rumination. By mindfulness and self as context methods, the kind of patient’s relationship with his or her emotions and thoughts will be changed (8). Twohing et al. proposed that techniques used in ACT, increase the acceptability of treatment among patients (28). Also, greater improvement in the follow-up phase is because of the fact that ACT does not merely seek symptom reduction, yet a meaningful living based on value will be targeted (7). Goldin and grass, assert that practice of mindfulness influences the brain mechanisms related to information processing. They stated that the techniques can lead to an increase of positive self-talk and a decrease of negative self-talk. This method creates greater activity in the brain network related to deployment of attention and reduction of linguistic-conceptual activity (29). The results of this study may be affected by non-specific factors, such as therapeutic alliance, so that, for example some of the patients like patient number four, had been motivated to report that he enjoyed the benefits of treatment. Although a 90-% improvement in symptoms of the disorder was reported for this patient that was done by psychiatrist in independent evaluation at the follow-up phase, it is recommended for future studies to examine the efficacy of trans-diagnostic approaches in comparison with non-active interventions, such as group support.

5.1. Conclusion

The results of this study provide greater evidence for ACT and BATD efficacy. Also, the present study supports the role of trans-diagnostic approaches as an add on to pharmacotherapy in TRD.

These treatments can help change the degree of improvement from treatment response to remission. They can also reduce disadvantage of mere pharmacotherapy and biological therapy, such as drugs’ side effects, which result in a decrease in quality of life and ultimately non-compliance (30). This fact is particularly applicable for BATD, as a cost effective treatment that does not need any long term training and can be conducted in different cultures (21).

5.2. Limitations

Although the findings of this study are preliminary and have some limitations, it has been shown that new approaches in psychotherapy may play an important role in strengthening the TRD treatment

One of the limitations of this study was the inadequate follow-up period. Also, another limitation was the single case design, including limited sample, which makes generalizability difficult.

Acknowledgements

References

  • 1.

    Gotlib IH, Hammen CL. Handbook of depression. Guilford Press; 2009.

  • 2.

    Al-Harbi KS. Treatment-resistant depression: therapeutic trends, challenges, and future directions. Patient Prefer Adherence. 2012;6:369-88. [PubMed ID: 22654508]. [PubMed Central ID: PMC3363299]. https://doi.org/10.2147/PPA.S29716.

  • 3.

    Souza LH, Salum GA, Mosqueiro BP, Caldieraro MA, Guerra TA, Fleck MP. Interpersonal psychotherapy as add-on for treatment-resistant depression: A pragmatic randomized controlled trial. J Affect Disord. 2016;193:373-80. [PubMed ID: 26799332]. https://doi.org/10.1016/j.jad.2016.01.004.

  • 4.

    Eisendrath SJ, Gillung EP, Delucchi KL, Chartier M, Mathalon DH, Sullivan JC, et al. Mindfulness-based cognitive therapy (MBCT) versus the health-enhancement program (HEP) for adults with treatment-resistant depression: a randomized control trial study protocol. BMC Complement Altern Med. 2014;14:95. [PubMed ID: 24612825]. [PubMed Central ID: PMC3995768]. https://doi.org/10.1186/1472-6882-14-95.

  • 5.

    Eisendrath S, Chartier M, McLane M. Adapting Mindfulness-Based Cognitive Therapy for Treatment-Resistant Depression: A Clinical Case Study. Cogn Behav Pract. 2011;18(3):362-70. [PubMed ID: 22211062]. [PubMed Central ID: PMC3247069]. https://doi.org/10.1016/j.cbpra.2010.05.004.

  • 6.

    Pettit JW, Joiner TE. Chronic depression: Interpersonal sources, therapeutic solutions. Washington, DC: American Psychological Association; 2006. p. 7-8. https://doi.org/10.1037/11291-000.

  • 7.

    Clarke S, Kingston J, James K, Bolderston H, Remington B. Acceptance and Commitment Therapy group for treatment-resistant participants: A randomized controlled trial. J Contextual Behav Sci. 2014;3(3):179-88. https://doi.org/10.1016/j.jcbs.2014.04.005.

  • 8.

    Zettle R. ACT for depression: A clinician's guide to using acceptance and commitment therapy in treating depression. New Harbinger Publications; 2007.

  • 9.

    Lejuez CW, Hopko DR, Acierno R, Daughters SB, Pagoto SL. Ten year revision of the brief behavioral activation treatment for depression: revised treatment manual. Behav Modif. 2011;35(2):111-61. [PubMed ID: 21324944]. https://doi.org/10.1177/0145445510390929.

  • 10.

    Dobson KS, Hollon SD, Dimidjian S, Schmaling KB, Kohlenberg RJ, Gallop RJ, et al. Randomized trial of behavioral activation, cognitive therapy, and antidepressant medication in the prevention of relapse and recurrence in major depression. J Consult Clin Psychol. 2008;76(3):468-77. [PubMed ID: 18540740]. [PubMed Central ID: PMC2648513]. https://doi.org/10.1037/0022-006X.76.3.468.

  • 11.

    Hayes SC, Levin ME, Plumb-Vilardaga J, Villatte JL, Pistorello J. Acceptance and commitment therapy and contextual behavioral science: examining the progress of a distinctive model of behavioral and cognitive therapy. Behav Ther. 2013;44(2):180-98. [PubMed ID: 23611068]. [PubMed Central ID: PMC3635495]. https://doi.org/10.1016/j.beth.2009.08.002.

  • 12.

    Barker C, Pistrang N, Elliott R. Research methods in clinical psychology: An introduction for students and practitioners. John Wiley & Sons; 2015. https://doi.org/10.1002/9781119154082.

  • 13.

    Sharifi V, Asadi SM, Mohammadi MR, Amini H, Kaviani H, Semnani Y. [Reliability and feasibility of the Persian version of the structured diagnostic interview for DSM-IV (SCID)]. Adv Cognitive Sci. 2004;6(1-2):10-22. Persian.

  • 14.

    Michael B, Spitzer RL, Gibbon M, Williams JB. Structured Clinical Interview for DSM-IV Personality Disorders (SCID-II)‏. Washington, DC: Am Psychiatr Pub; 1997.

  • 15.

    Bakhtiari M. [The study in psychiatric disorders in patients with body dysmorphic disorder]. Tehran, Iran: Iran University of Medical Science; 2000. Persian.

  • 16.

    Ghassemzadeh H, Mojtabai R, Karamghadiri N, Ebrahimkhani N. Psychometric properties of a Persian-language version of the Beck Depression Inventory--Second edition: BDI-II-PERSIAN. Depress Anxiety. 2005;21(4):185-92. [PubMed ID: 16075452]. https://doi.org/10.1002/da.20070.

  • 17.

    Bagherinejad M, Salehi FJ, Tabatabaei SM. [The relationship between rumination and depression in a sample of Iranian university of students]. J Educ Psychol Stu. 2010;11(1):28-38. Persian.

  • 18.

    Foroughi AA, Arani AM, Bakhtyari M, Mohammadi A, Habibi M. The efficacy of emotion regulation therapy (ERT) in generalized anxiety disorder (GAD): symptom reduction and improving of emotion regulation and mindfulness skills. Int J Appl Behav Sci. 2016;3(2):1-9.

  • 19.

    Bottonari KA, Roberts JE, Thomas SN, Read JP. Stop thinking and start doing: Switching from cognitive therapy to behavioral activation in a case of chronic treatment-resistant depression. Cogn Behav Pract. 2008;15(4):376-86. https://doi.org/10.1016/j.cbpra.2008.02.005.

  • 20.

    Mairal JB. Behavioral activation intervention in a patient with depressive symptomatology. Psychol Span. 2011;15(1):22-32.

  • 21.

    Santos MM, Rae JR, Nagy GA, Manbeck KE, Hurtado GD, West P, et al. A client-level session-by-session evaluation of behavioral activation's mechanism of action. J Behav Ther Exp Psychiatry. 2017;54:93-100. [PubMed ID: 27423222]. [PubMed Central ID: PMC5121053]. https://doi.org/10.1016/j.jbtep.2016.07.003.

  • 22.

    Takagaki K, Okamoto Y, Jinnin R, Mori A, Nishiyama Y, Yamamura T, et al. Mechanisms of behavioral activation for late adolescents: Positive reinforcement mediate the relationship between activation and depressive symptoms from pre-treatment to post-treatment. J Affect Disord. 2016;204:70-3. [PubMed ID: 27341422]. https://doi.org/10.1016/j.jad.2016.06.046.

  • 23.

    Ritschel LA, Ramirez CL, Jones M, Craighead WE. Behavioral Activation for Depressed Teens: A Pilot Study. Cogn Behav Pract. 2011;18(2):281-99. https://doi.org/10.1016/j.cbpra.2010.07.002.

  • 24.

    Soleymani M. [Comparative study of behavioral activation therapy and group cognitive therapy in reducing the symptoms of anxiety and depression sympt]. Tehran, Iran: University of Social Welfare and Rehabilitation Sciencess; 2012. Persian.

  • 25.

    Yovel I, Mor N, Shakarov H. Examination of the core cognitive components of cognitive behavioral therapy and acceptance and commitment therapy: an analogue investigation. Behav Ther. 2014;45(4):482-94. [PubMed ID: 24912461]. https://doi.org/10.1016/j.beth.2014.02.007.

  • 26.

    Walser RD, Karlin BE, Trockel M, Mazina B, Barr Taylor C. Training in and implementation of Acceptance and Commitment Therapy for depression in the Veterans Health Administration: therapist and patient outcomes. Behav Res Ther. 2013;51(9):555-63. [PubMed ID: 23851161]. https://doi.org/10.1016/j.brat.2013.05.009.

  • 27.

    Gaudiano BA, Nowlan K, Brown LA, Epstein-Lubow G, Miller IW. An open trial of a new acceptance-based behavioral treatment for major depression with psychotic features. Behav Modif. 2013;37(3):324-55. [PubMed ID: 23223385]. [PubMed Central ID: PMC4049629]. https://doi.org/10.1177/0145445512465173.

  • 28.

    Twohig MP, Hayes SC, Plumb JC, Pruitt LD, Collins AB, Hazlett-Stevens H, et al. A randomized clinical trial of acceptance and commitment therapy versus progressive relaxation training for obsessive-compulsive disorder. J Consult Clin Psychol. 2010;78(5):705-16. [PubMed ID: 20873905]. [PubMed Central ID: PMC2948415]. https://doi.org/10.1037/a0020508.

  • 29.

    Goldin PR, Gross JJ. Effects of mindfulness-based stress reduction (MBSR) on emotion regulation in social anxiety disorder. Emotion. 2010;10(1):83-91. [PubMed ID: 20141305]. [PubMed Central ID: PMC4203918]. https://doi.org/10.1037/a0018441.

  • 30.

    Moukaddam N, Shah AA. Treatment-resistant depression: An overview. Psychiatr Ann. 2016;46(4):224-9. https://doi.org/10.3928/00485713-20160215-01.