Next Article in Journal
The Impact of Introducing Successive Biosimilars on Changes in Prices of Adalimumab, Infliximab, and Trastuzumab—Polish Experiences
Next Article in Special Issue
Efficacy of the FIBROWALK Multicomponent Program Moved to a Virtual Setting for Patients with Fibromyalgia during the COVID-19 Pandemic: A Proof-of-Concept RCT Performed Alongside the State of Alarm in Spain
Previous Article in Journal
Seasonal Succession of Bacterial Communities in Three Eutrophic Freshwater Lakes
Previous Article in Special Issue
Assessing the Functional Status of Patients with Chronic Pain—Cross Cultural Adaptation and Psychometric Properties of the Serbian Version of the Pain Disability Questionnaire
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJERPH
Volume 18
Issue 13
10.3390/ijerph18136951
ijerph-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effects of Mindfulness-Based Cognitive Therapy for Chronic Pain: A Multicenter Study

by
Estela María Pardos-Gascón
1,
Lucas Narambuena
2,
César Leal-Costa
3,*,
Antonio Jesús Ramos-Morcillo
3,*,
María Ruzafa-Martínez
3 and
Carlos J. van-der Hofstadt Román
4
1
Sexual and Reproductive Health Unit, Novelda Health Center, 03660 Alicante, Spain
2
Child-Youth Mental Health Unit, Can Misses Hospital, 07800 Ibiza, Spain
3
Faculty of Nursing, University of Murcia, 30100 Murcia, Spain
4
Hospital Psychology Unit, Department of Health Psychology, Institute of Health and Biomedical Research of Alicante (ISABIAL), General University Hospital of Alicante, Miguel Hernández University, 03010 Alicante, Spain
*
Authors to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(13), 6951; https://doi.org/10.3390/ijerph18136951
Submission received: 19 May 2021 / Revised: 24 June 2021 / Accepted: 26 June 2021 / Published: 29 June 2021
(This article belongs to the Special Issue Clinical and Health Psychology in Chronic Pain Management)
Browse Figures
Versions Notes

Abstract

:
The prevalence of chronic pain in Spain is 15%. The objective of this study was to evaluate the efficacy of mindfulness-based cognitive therapy on patients with chronic pain. A quasi-experimental design of repeated measures pre- and post-test (N = 57) was carried out at three hospitals from the province of Alicante. Self-reported assessment measurements of pain intensity, anxiety-depression symptoms, perception of health status, interference of pain on sleep, self-efficacy in pain, acceptance, and mindfulness attitude were included. The T-test indicates significant differences in intensity of present pain, mental quality of life, and depression (medium effect sizes), as well as in self-efficacy: total score, symptom management and pain control (medium effect sizes), sleep disturbances and quantity of sleep (large effect sizes). MBCT is effective in reducing many symptoms in patients with chronic pain, although its maintenance needs to be further investigated.

1. Introduction

Non-oncological chronic pain is defined as pain that lasts longer than three months after an injury, felt for longer after the injury or even without it, and which is not caused by an oncological process [1]. This type of pain is one of the 10 most prevalent medical conditions in the world and causes the longest period of disability [2]. Specifically, there is a prevalence of 19% in Europe [3] and 15% in Spain [4]. Economically, chronic pain implies costs between 2% and 2.8% of the gross domestic product in Spain.
The experience of pain is highly subjective and has a wide-ranging inter-individual variability, as first shown by Melzack and Wall [5] and Melzack [6]. Its response to medical treatment is partial, and it is currently accepted that psychological and emotional processes exert a modulating function in the sensorial signal of pain [7], which justifies research on this subject [8].
Presently, the psychological treatment of choice is cognitive behavioral treatment (CBT) [9,10,11], and the literature points to improvements in pain, disability, and mood with its use and has also generally demonstrated good tolerability, acceptability, and efficacy for chronic pain conditions and migraines in children [12]. Although this treatment has been studied in a limited number of pathologies, its mechanisms are not clear and its effect size tends to be small [1]. Likewise, some authors [13] suggested that these effects are due to broader adaptive changes that occur during the coping process, instead of variables that are specifically cognitive.
In the last few years, a strong interest has appeared for the treatments based on mindfulness for chronic pain. These treatments are based on the acceptance of pain, the decrease in avoidance, the de-identification with mental processes, and the reduction of the hyper-alert state towards the feelings of pain [14]. The meta-analyses generally agree on their effectiveness [15,16,17,18,19,20] and some authors believe these treatments may even last longer than CBT in the medium term [21].
Within these treatments, Day [22] has developed the mindfulness-based cognitive therapy for chronic pain (MBCT-CP). This was a little-studied approach until now, although it is one of the most specific for this type of pathology. The results have been shown to be promising for the reduction of the interference due to pain and the increase in self-efficacy and acceptance of pain, with size effects that are similar to other interventions of choice [22,23].
Therefore, we hypothesize that an intervention based on MBCT-CP will have a positive impact on levels of pain, anxiety, depression, self-efficacy, quality of life, and sleep attributes.
The objective of the present study was to evaluate the efficacy of the MBCT for chronic pain in a sample of adult patients with different medical diagnoses associated with chronic pain in the province of Alicante, Spain. The specific objectives were to evaluate the effectiveness of said program based on levels of pain, anxiety, depression, self-efficacy, quality of life, and sleep attributes.

2. Materials and Methods

2.1. Design

Quasi-experimental design with pre- and post-test repeated measures, with an intragroup comparison of measurement before and after the intervention.

2.2. Participants

Eligible participants included a sample of adult patients with different medical diagnoses associated with chronic pain in the province of Alicante, Spain. To be included in the study, the participants: (1) had to be older than 20 years old; (2) had non-oncological pain lasting longer than 3 months, with a moderate-severe intensity, as diagnosed by the Unit of Pain doctors; (3) had pain that interfered in at least one area of everyday life; (4) had to be self-sufficient for completing the self-applied tests; and (5) had to freely accept to participate in the study by providing their written informed consent. The following subjects were excluded: (1) those who had diminished capacities for providing informed consent; and (2) those who had a severe clinical comorbidity; or (3) an acute phase psychotic disorder. The sample was obtained through a waiting list of clinical psychology from the units of pain, from June 2018 to January 2019.
A sample size of 40 achieves 100% power to detect a mean of paired differences of 5 with an estimated standard deviation of differences of 1.0 and with a significance level (alpha) of 0.05 using a two-sided paired t-test. Thus, for 6 groups of subjects, a total of 48 subjects would be needed. Ultimately, a sample of 57 participants was obtained through a convenient, non-randomized sample at the units of chronic pain from three hospitals located in the province of Alicante: General University Hospital of Alicante (GUHA), Marina Baixa Hospital (MBH) (Villajoyosa), and the Vega Baja Hospital (VBH) (Orihuela).

2.3. Instruments

A data collection booklet was created for data collection, which included the following measurements:
  • Sociodemographic characteristics: age, sex, marital status, and occupation.
  • Self-reported pain intensity: the pain in the last three days was assessed with the visual analogue scale (VAS) [24], with scores ranging from 0 (absence of pain) to 10 (the worst pain imaginable), with slight pain = VAS < 4, moderate between 4–6, and severe with VAS > 6. VAS has reported high test-retest reliability (ICC = 0.71–0.99), convergent validity values ranging from 0.30 to 0.95, and moderate concurrent validity (0.71–0.78) when compared with a numeric pain rating scale [25,26,27,28]. Likewise, a Likert scale with 5 points was utilized to assess the intensity of present pain, with 4 being extremely intense, 3—intense, 2—moderate, 1—mild, and 0—none.
  • Anxiety-depression symptoms: the hospital anxiety and depression scale (HADS) [29] which was validated in a Spanish population with chronic pain [30] was utilized. This is a self-completed form with 14 items, with a Likert-type response scale with 4 points. The overall score oscillates between 0 and 42, with a range between 0–21 for each sub-scale. Its reliability was adequate (anxiety subscale: α = 0.81; depression subscale: α = 0.82) as it is reported in previous studies [31].
  • Perception of status of health: the Spanish version [32] of the short form health survey 12 (SF-12) questionnaire was utilized [33]. It consists of 12 items taken from the SF-36, with a Likert-type response scale ranging from three to six points. The result is a measurement of overall physical and mental well-being, with scores ranging from 0 (worse state of health possible), to 100 (best state of health possible), with an adequate reliability for both scales (physical summary: α = 0.84; mental summary: α = 0.72) in line with previous research [34].
  • Interference of pain on sleep: sleep was measured with the medical outcomes study sleep scale (MOS Sleep Scale) [35]. It is composed by 12 items that explore the impact of external stimuli on the attributes of the architecture of sleep (suitability, optimum sleep, quantity, abrupt awakenings, snoring, altered sleep, and somnolence). Likewise, it is used to evaluate the overall interference with sleep index with 6 or 9 items, with a range of responses from 0 (no interference or impact) to 100 (maximum interference possible). This scale obtained a reliability between 0.62 and 0.83 with Cronbach’s Alpha, as in studies with patients suffering from neuropathic pain [36].
  • Perception of self-efficacy in the management of pain: this was measured with the chronic pain self-efficacy scale [37], which obtained an adequate reliability (subscale of control of symptoms: α = 0.84, subscale of physical functioning: α = 0.95; subscale of pain management: α = 0.70, total self-efficacy score: α = 0.90) as in previous research of the authors of the scale. This questionnaire was composed by 19 items with a Likert-type response scale of 10 points, with a greater score indicating a greater self-efficacy.
  • Acceptance of pain: the chronic pain acceptance questionnaire (CPAQ) [38] was utilized. It includes 20 items, and a total score is obtained which evaluates the degree of acceptance of chronic pain and two subscales: engagement in activities (EA), and pain willingness (PW), both with a good reliability (EA: α = 0.80 and PW: α = 0.72) as it is reported in previous literature [39].
  • Mindfulness state: measured with the mindful attention awareness scale (MAAS) [40]. This was validated with a Spanish population [41], and a good reliability was found (α = 0.88). The final score is obtained from the arithmetic mean of 15 items, and the highest scores indicate a greater state of mindfulness.

2.4. Procedure

The participants from the waiting list at the unit of pain were called to participate in group therapy sessions with 10 to 12 participants per group. In the first session, the questionnaires and the organization of the sessions were explained. The mindfulness-based cognitive therapy for chronic pain [22], was applied, which was composed of 8 weekly group sessions that lasted around an hour and a half (see Table 1). The intervention was performed by 6 3rd-year clinical psychology residents with experience in group therapy, but without specific training on mindfulness. Four groups were set up at the GUHA, (n = 23), 2 groups at the MBH (n = 11), and 2 groups at the VBH (n = 23) between September 2018, and June 2019. The research authors translated the mindfulness-based cognitive therapy for chronic pain manual [22] patient materials, and these were provided to the participants.

2.5. Confidentiality

The collection, treatment, and use of the data required for this study was conducted in agreement with the contents of Organic Law 15/1999 related to personal data, and its regulation for its development, in this case (Royal Decree 1720/2007); as well as Regulation 2016/679 from the European Parliament and Council, dated 27 April 2016, related to the treatment of personal data, as well as any norm and/or legislation that should be applied. Likewise, the research project was approved by the Ethics Committee for Research with drugs (CEIm) from the GUHA (Ref.CEIm: PI2018/109 Ref.ISABIAL:180296).

2.6. Statistical Analysis

The software IBM SPSS Statistics® v.24 (IBM, Armonk, NY, USA) was utilized to analyze the descriptive statistics according to the nature of the variables, as well as the t-test for related samples, after verifying normality (Kolmogorov–Smirnov), and homoscedasticity (Levene’s test). Complementarily, the effect size was analyzed with Cohen’s d, considering a d between 0.2 and 0.49 as “small”, a d from 0.5 to 0.79 as “medium”, and d greater than 0.8 as “large” [42].

3. Results

Of the 84 initial participants, 57 finished the program (response rate of 67.85%) (see Figure 1). The sample was comprised mostly by women (77.2%), aged between 32 and 79-years-old (M = 55.96), duration of illness ranged from 3 to 20 years (M = 10), married (57.9%) and retired (26.3%). Most of them (38.6%) had a diagnosis of low back pain/lumbosciatic pain, followed by neck pain or cervicobrachialgia (12.3%), fibromyalgia (12.3%), and rheumatic arthritis (10.5%), while 26.3% had a heterogeneous group of multiple diagnoses that imply chronic pain: idiopathic pain (N = 3), neuropathic pain (N = 3), failed back syndrome (N = 3), chronic postsurgical pain (N = 2) diabetes (N = 2), multiple sclerosis (N = 1), and phantom limb pain (N = 1). Lastly, 40.4% were GUHA patients, with the same percentage for VBH, while the MBH patients were less numerous (Table 2).
After verifying the homocesdasticity and normality, the results of the t-test (see Table 3 and Figure 2) indicated significant differences (p < 0.05) in the intensity of present pain, mental quality of life and depression, with medium effect sizes. Significant differences (p < 0.001) were found for self-efficacy in symptoms management, self-efficacy in pain control, and in the total self-efficacy score (with medium size effects, 0.2 < d < 0.49), as well as sleep disturbances and quantity (with large effect sized, d > 0.8).

4. Discussion

Previous MBCT studies have highlighted its efficacy for the treatment of depression and anxiety, with its use for chronic pain being more recent. The scarce research fundamentally comes from the same research group, which adapted the program utilized in this project, and which were centered on the study of headaches, a diagnosis that is absent in the present research study. Thus, the comparison of the results with previous research studies should be made with caution, as the sample diagnoses are not equivalent.
The effectiveness of MBCT on the symptoms of depression has been widely studied, and its use is recommended as a co-adjuvant therapy for unipolar depression [43,44,45] and for depression symptoms specifically in chronic pain conditions [46]. The previous evidence is consistent and coherent with that found in the present research study, and it highlights the importance of psychological and emotional factors as modulators of the sensory response to pain, although it remains to be determined to what extent and direction these variables are influenced, which is why more research on the mediational processes of pain is necessary.
As opposed to previous studies [44,47], no significant differences were found for anxiety. Nevertheless, the studies cited evaluated this variable with other instruments and populations with other diagnoses, including clinical anxiety disorders. Lastly, systematic reviews indicated that mindfulness-based stress reduction (MBSR) was more suitable for anxiety symptoms and MBCT for depression symptoms [43,44].
The results with the largest effect sizes were the improvements in sleep disturbances and quantity. These results are in agreement with the previous research studies with insomnia patients [48,49]. Some authors [45] explained that the reduction in insomnia through MBCT was due to the reduction of worries (a specific component of anxiety) produced by the therapy, which were associated with sleep problems in patients with anxiety. Despite the interest elicited by this hypothesis, more research is needed to better discern the relationships between these variables. It would be especially convenient to measure the different components of anxiety such as rumination with specific instruments.
Regarding pain, we found a significant reduction in the intensity of present pain, but not in the pain in the prior two weeks, which is similar to previous studies with MBCT [46,50,51] that pointed reduction in the interference of pain with no reductions in the everyday pain reported. Having in mind that the reduction in pain is not the primary objective of mindfulness-based treatments, the results allow us to think that the improvement in pain variables may not be solely due to the decrease in intensity but due to the improvement of other cognitive processes, like self-efficacy. In fact, in our study we found significant differences in self-efficacy for the total scale, symptom management, and pain control but not in the physical functioning subscale, consistent with previous studies [50,52]. Something similar happens with regard to the quality-of-life scales, since only the mental quality of life subscale improves, but not the physical one, partially coinciding with previous results [53,54]. Taking into account these results in conjunction with the previous evidence of these variables in MBCT, it is plausible to think that participants improved in the sense of control and coping, and consequently pain interference and mental quality of life, despite the fact that their baseline pain experience remained similar throughout treatment.
Concerning acceptance, an improvement in this variable could also be expected, parallel to the decrease in pain interference, as reported in a previous study [50] where they hypothesize the mediating capacity of acceptance in pain interference. However, we did not find this improvement in our study. It is risky to describe solid conclusions with these mixed results, having in mind the scarcity of the studies that have addressed this specific subject. Accordingly, significant differences were not found in the mindfulness skills when the treatment ended, in agreement with other previous studies with headaches [50,55], and in disagreement with other research studies, where differences were found in the short [47] and long term (6 months) [56]. However, there is a possibility that the effects on the mindfulness skills found in the present study may be long-term, for example some authors have found [56] improvements in mindfulness skills 6 months after training, with patients who had coronary disease and depression. In any case, it is curious to verify that the variables to which mindfulness-based interventions are directed are those that have been least affected by the treatment. A review [17] pointed out that the effect of the treatment on these skills is small and heterogeneous throughout the various studies found. Thus, this strengthens the need to continue conducting research on these variables and to study the role of the mindfulness-based interventions on mindfulness skills, acceptance of pain and its relationship with pain interference.

5. Conclusions

The MBCT was efficient for the reduction of sleep disturbances, intensity of present pain, and depression, and for the improvement of self-efficacy, mental quality of life, and the quantity of sleep. These results mostly coincide with the scarce previous studies, with the main limitation being the lack of a control group and long-term follow-up. The review of previous studies indicates that in some of the variables studied, statistical significance was found in the follow-up evaluations, despite not having shown significant changes in the post-test, which allows us to hypothesize that some variables that did not undergo changes in our study (such as mindfulness skills and acceptance of pain) could show significant differences in the long term. At the same time, it would allow us to check if those that underwent changes were maintained over time. Furthermore, it would have been interesting to compare results between participants who finished therapy and those who dropped out. Despite these limitations, the fact that this was a multi-center study performed by six professionals-in-training without any specific experience with MBCT (although they had experience with group therapy) and that a wide variety of pain-related diagnoses have been included (as it is representative of the samples of pain units in public hospitals) provides the results with a greater external validity and demonstrates the usefulness of this approach in transdiagnostic scenarios. Likewise, in the context of scientific literature, this is one of the few MBCT studies related to chronic pain, which was not from the same research group or about oncological pain.

Author Contributions

Data curation, E.M.P.-G., L.N., C.L.-C., M.R.-M. and C.J.v.-d.H.R.; Formal analysis, A.J.R.-M.; Investigation, E.M.P.-G., L.N., C.L.-C., A.J.R.-M. and C.J.v.-d.H.R.; Methodology, E.M.P.-G., C.L.-C., M.R.-M. and C.J.v.-d.H.R.; Supervision, C.L.-C., M.R.-M. and C.J.v.-d.H.R.; Validation, C.J.v.-d.H.R.; Visualization, A.J.R.-M.; Writing–original draft, E.M.P.-G. and L.N.; Writing–review & editing, C.L.-C., A.J.R.-M., M.R.-M. and C.J.v.-d.H.R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Ethics Committee for Research with drugs (CEIm) from the GUHA (Ref.CEIm: PI2018/109 Ref.ISABIAL:180296).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due there are unpublished results.

Acknowledgments

The authors are thankful for the collaboration of the Clinical Psychologists their contribution in the execution of the program and the collection of data.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Moix, J.; Casado, M.I. Terapias Psicológicas para el Tratamiento del Dolor Crónico. Clin. Salud 2011, 22, 41–50. [Google Scholar]
  2. Sá, K.N.; Moreira, L.; Baptista, A.F.; Yeng, L.T.; Teixeira, M.J.; Galhardoni, R.; de Andrade, D.C. Prevalence of chronic pain in developing countries. Pain Rep. 2019, 4, 1–8. [Google Scholar] [CrossRef] [PubMed]
  3. Reid, K.J.; Harker, J.; Bala, M.M.; Truyers, C.; Kellen, E.; Bekkering, G.E.; Kleijnen, J. Epidemiology of chronic non-cancer pain in Europe: Narrative review of prevalence, pain treatments and pain impact. Curr. Med. Res. Opin. 2011, 27, 449–462. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Dueñas, M.; Salazar, A.; Ojeda, B.; Fernández-Palacín, F.; Micó, J.A.; Torres, L.M.; Failde, I.A. Nationwide Study of Chronic Pain Prevalence in the General Spanish Population: Identifying Clinical Subgroups Through Cluster Analysis. Pain Med. 2015, 16, 811–822. [Google Scholar] [CrossRef] [Green Version]
  5. Melzack, R.; Wall, P.D. Pain Mechanism: A new theory. Science 1965, 150, 971–979. [Google Scholar] [CrossRef]
  6. Melzack, R. Labat lecture. Phantom limbs. Reg. Anesth. 1989, 14, 208–2011. [Google Scholar]
  7. Turk, D.C.; Okifuji, A. Psychological Factors in Chronic Pain: Evolution and Revolution. J. Consult. Clin. Psychol. 2002, 70, 678–690. [Google Scholar] [CrossRef]
  8. Martín, Y.P.; Muñoz, M.P. Los factores psicosociales en el dolor crónico: Intervención fisioterapéutica desde un enfoque biopsicosocial. RIECS 2018, 3, 39–53. [Google Scholar] [CrossRef]
  9. Boschen, K.A.; Robinson, E.; Campbell, K.A.; Muir, S.; Oey, E.; Janes, K.; Fashler, S.R.; Katz, J. Results from 10 Years of a CBT Pain Self-Management Outpatient Program for Complex Chronic Conditions. Pain Res. Manag. 2016, 2016, 4678083. [Google Scholar] [CrossRef] [Green Version]
  10. Eccleston, C.; Hearn, L.; Williams, A. Psychological therapies for the management of chronic neuropathic pain in adults (Review). Cochrane Database Syst. Rev. 2015, 10, 1–30. [Google Scholar]
  11. McCracken, L. Contextual cognitive behavioral therapy for chronic pain (including back pain). In From Acute to Chronic Back Pain: Risk Factors, Mechanisms, and Clinical Implications; Hasenbring, M., Rusu, A., Turk, D., Eds.; Oxford University Press (OUP): New York, NY, USA, 2012; pp. 547–563. [Google Scholar]
  12. Ng, Q.X.; Venkatanarayanan, N.; Kumar, L. A Systematic Review and Meta-Analysis of the Efficacy of Cognitive Behavioral Therapy for the Management of Pediatric Migraine. Headache 2017, 57, 349–362. [Google Scholar] [CrossRef]
  13. Burns, J.W.; Nielson, W.R.; Jensen, M.P.; Heapy, A.; Czlapinski, R.; Kerns, R.D. Does Change Occur for the Reasons We Think It Does? A Test of Specific Therapeutic Operations during Cognitive-Behavioral Treatment of Chronic Pain. Clin. J. Pain 2015, 31, 603–611. [Google Scholar] [CrossRef]
  14. Palao-Tarrero, Á.; Torrijos-Zarcero, M.; del Río, M.D.R.M.; Muñoz-Sanjosé, A.; Rodríguez-Vega, B. Intervenciones Basadas en Mindfulness y Compasión en Dolor Crónico. RIECS 2019, 4, 112–122. [Google Scholar]
  15. Goldberg, S.B.; Tucker, R.P.; Greene, P.A.; Davidson, R.J.; Wampold, B.E.; Kearney, D.J.; Simpson, T.L. Mindfulness-based interventions for psychiatric disorders: A systematic review and meta-analysis. Clin. Psychol. Rev. 2018, 59, 52–60. [Google Scholar] [CrossRef]
  16. Khoo, E.L.; Small, R.; Cheng, W.; Hatchard, T.; Glynn, B.; Rice, D.B.; Skidmore, B.; Kenny, S.; Hutton, B.; Poulin, P.A. Comparative evaluation of group-based mindfulness-based stress reduction and cognitive behavioral therapy for the treatment and management of chronic pain: A systematic review and network meta-analysis. Evid. Based Ment. Health 2019, 22, 26–35. [Google Scholar] [CrossRef] [Green Version]
  17. Bawa, F.L.M.; Mercer, S.W.; Atherton, R.J.; Clague, F.; Keen, A.; Scott, N.W.; Bond, C.M. Does mindfulness improve outcomes in patients with chronic pain? Systematic review and meta-analysis. Br. J. Gen. Pract. 2015, 65, 387–400. [Google Scholar] [CrossRef] [Green Version]
  18. McClintock, A.S.; McCarrick, S.M.; Garland, E.L.; Zeidan, F.; Zgierska, A.E. Brief Mindfulness-Based Interventions for Acute and Chronic Pain: A Systematic Review. J. Altern. Complement. Med. 2018, 25, 265–278. [Google Scholar] [CrossRef]
  19. Pardos-Gascón, E.M.; Narambuena, L.; Leal-Costa, C.; van-der Hofstadt-Román, C.J. Differential efficacy between cognitive-behavioral therapy and mindfulness-based therapies for chronic pain: Systematic review. Int. J. Clin. Health Psychol. 2020, 21, 1–17. [Google Scholar]
  20. Perestelo-Perez, L.; Barraca, J.; Rivero-Santana, A.; Alvarez-Perez, Y. Mindfulness-based interventions for the treatment of depressive rumination: Systematic review and meta-analysis. Int. J. Clin. Health Psychol. 2017, 17, 282–295. [Google Scholar] [CrossRef]
  21. Veehof, M.M.; Trompetter, H.R.; Bohlmeijer, E.T.; Schreurs, K.M.G. Acceptance- and mindfulness-based interventions for the treatment of chronic pain: A meta-analytic review. Cogn. Behav. 2016, 45, 5–31. [Google Scholar] [CrossRef]
  22. Day, M. Mindfulness-Based Cognitive Therapy for Chronic Pain; John Wiley & Sons: Chichester, West Sussex, UK, 2017. [Google Scholar]
  23. Williams, A.C.; Eccleston, C.; Morley, S. Psychological therapies for the management of chronic pain (excluding headache) in adults. Cochrane Database Syst. Rev. 2012, 11, 1–83. [Google Scholar] [CrossRef] [PubMed]
  24. Couper, M.P.; Tourangeau, R.; Conrad, F.G.; Singer, E. Evaluating the Effectiveness of Visual Analog Scales: A Web Experiment. Soc. Sci. Comput. Rev. 2006, 24, 227–245. [Google Scholar] [CrossRef]
  25. Finch, E.; Brooks, D.; Stratford, P.W.; Mayo, N. Physical Rehabilitation Outcome Measures—A Guide to Enhanced Clinical Decision Making, 2nd ed.; Lippincott Williams & Wilkins: Baltimore, MD, USA, 2002. [Google Scholar]
  26. Currier, D.P. Elements of Research in Physical Therapy, 2nd ed.; Williams & Wilkins: Baltimore, MD, USA, 1984. [Google Scholar]
  27. Good, M.; Stiller, C.; Zauszniewski, J.A.; Anderson, G.C.; Stanton-Hicks, M.; Grass, J.A. Sensation and distress of pain scales: Reliability, validity, and sensitivity. J. Nurs. Meas. 2001, 9, 219–238. [Google Scholar] [CrossRef] [PubMed]
  28. Enebo, B.A. Outcome measures for low back pain: Pain inventories and functional disability questionnaires. J. Chiropract. Tech. 1998, 10, 27. [Google Scholar]
  29. Zigmond, A.S.; Snaith, R.P. The hospital anxiety and depression scale. Acta Psychiatr. Scand. 1983, 67, 361–370. [Google Scholar] [CrossRef] [Green Version]
  30. Cabrera, V.; Martín-Aragón, M.; Terol, M.D.C.; Núñez, R.; Pastor, M.D.L.Á. La Escala de Ansiedad y Depresión Hospitalaria (HAD) en fibromialgia: Análisis de sensibilidad y especificidad. Ter. Psicol. 2015, 33, 181–193. [Google Scholar] [CrossRef] [Green Version]
  31. Vallejo, M.A.; Rivera, J.; Esteve-Vives, J.; Rodríguez-Muñoz, M.F.; Grupo ICAF. Uso del cuestionario Hospital Anxiety and Depression Scale (HADS) para evaluar la ansiedad y la depresión en pacientes con fibromialgia. Rev. Psiquiatr. Salud Ment. 2012, 5, 107–114. [Google Scholar] [CrossRef]
  32. Alonso, J.; Regidor, E.; Barrio, G.; Prieto, L.; Rodríguez, C.; de la Fuente, L. Valores poblacionales de referencia de la versión española del Cuestionario de Salud SF-36. Rev. Psiquiatr. Salud Ment. 1998, 111, 410–416. [Google Scholar]
  33. Ware, J.E., Jr.; Kosinski, M.; Keller, S.D. A 12-Item Short-Form Health Survey: Construction of scales and preliminary tests of reliability and validity. Med. Care 1996, 34, 220–233. [Google Scholar] [CrossRef] [Green Version]
  34. Vilagut, G.; Valderas, J.M.; Ferrer, M.; Garin, O.; López-García, E.; Alonso, J. Interpretación de los cuestionarios de salud SF-36 y SF-12 en España: Componentes físico y mental. Med. Clin. 2008, 130, 726–735. [Google Scholar] [CrossRef] [Green Version]
  35. Hays, R.D.; Martin, S.A.; Sesti, A.M.; Spritzer, K.L. Psychometric properties of the Medical Outcomes Study Sleep measure. Sleep Med. Rev. 2005, 6, 41–44. [Google Scholar] [CrossRef]
  36. Rejas, J.; Ruiz, M.; Masrramo, X. Psychometric properties of the MOS (Medical Outcomes Study) Sleep Scale in patients with neuropathic pain. Eur. J. Pain 2007, 11, 329–340. [Google Scholar] [CrossRef]
  37. Martín-Aragón, M.; Pastor, M.A.; Rodríguez-Marín, J.; March, M.J.; Lledó, A. Percepción de autoeficacia en Dolor Crónico. Adaptación y validación de la Chronic Pain Self Efficacy Scale. Rev. Psicol. Salud 1999, 11, 53–75. [Google Scholar]
  38. Vowles, K.E.; Loebach Wetherell, J.; San, V.A.; System, D.H.; Sorrell, J.T. Author’s personal copy Targeting Acceptance, Mindfulness, and Values-Based Action in Chronic Pain: Findings of Two Preliminary Trials of an Outpatient Group-Based Intervention. Cogn. Behav. Pract. 2008, 16, 49–58. [Google Scholar] [CrossRef]
  39. Menéndez, G.A.; García, F.P.; Viejo, T.I. Aceptación del dolor crónico en pacientes con fibromialgia: Adaptación del Chronic Pain Acceptance Questionnaire (CPAQ) a una muestra española. Psicothema 2010, 22, 997–1003. [Google Scholar]
  40. Brown, K.W.; Ryan, R.M. The Benefits of Being Present: Mindfulness and Its Role in Psychological Well-Being. J. Pers. Soc. Psychol. 2003, 84, 822–848. [Google Scholar] [CrossRef] [Green Version]
  41. Soler, J.; Tejedor, R.; Feliu-Soler, A.; Pascual, J.C.; Cebolla, A.J.; Soriano, J.; Alvarez, E.; Pérez, V. Propiedades psicométricas de la versión española de la escala Mindful Attention Awareness Scale (MAAS). Actas Esp. Psiquiatr. 2012, 40, 19–26. [Google Scholar]
  42. Cohen, J. Statistical Power Analysis for the Behavioral Sciences, 2nd ed.; Lawrence Erlbaum Associates: Hillsdale, NJ, USA, 1988. [Google Scholar]
  43. Fjorback, L.O.; Arendt, M.; Ørnbøl, E.; Fink, P.; Walach, H. Mindfulness—Based Stress Reduction and Mindfulness--Based Cognitive Therapy—A systematic review of randomized controlled trials. Acta Psychiatr. Scand. 2011, 124, 102–119. [Google Scholar] [CrossRef]
  44. Marchand, W.R. Mindfulness-based stress reduction, mindfulness-based cognitive therapy, and Zen meditation for depression, anxiety, pain, and psychological distress. J. Psychiatr. Pract. 2012, 18, 233–252. [Google Scholar] [CrossRef]
  45. Yook, K.; Lee, S.-H.; Ryu, M.M.; Kim, K.-H.; Choi, T.K.; Suh, S.Y.; Kim, Y.W.; Kim, B.; Kim, M.Y.; Kim, M.J. Usefulness of Mindfulness-Based Cognitive Therapy for Treating Insomnia in Patients with Anxiety Disorders: A Pilot Study. J. Nerv. Ment. Dis. 2008, 196, 501–503. [Google Scholar] [CrossRef]
  46. Day, M.A.; Ward, L.C.; Ehde, D.M.; Thorn, B.E.; Burns, J.; Barnier, A.; Mattingley, J.B.; Jensen, M.P. A Pilot Randomized Controlled Trial Comparing Mindfulness Meditation, Cognitive Therapy, and Mindfulness-Based Cognitive Therapy for Chronic Low Back Pain. Pain Med. 2019, 20, 2134–2148. [Google Scholar] [CrossRef] [Green Version]
  47. Helmes, E.; Ward, B.G. Mindfulness-based cognitive therapy for anxiety symptoms in older adults in residential care. Aging Ment. Health 2015, 21, 272–278. [Google Scholar] [CrossRef]
  48. Britton, W.B.; Haynes, P.L.; Fridel, K.W.; Bootzin, R.R. Mindfulness-Based Cognitive Therapy Improves Polysomnographic and Subjective Sleep Profiles in Antidepressant Users with Sleep Complaints. Psychother. Psychosom. 2012, 81, 296–304. [Google Scholar] [CrossRef] [Green Version]
  49. Wong, S.Y.; Zhang, D.; Li, C.C.; Yip, B.H.; Chan, D.C.; Ling, Y.; Lo, C.S.; Woo, D.M.; Sun, Y.; Ma, H.; et al. Comparing the Effects of Mindfulness-Based Cognitive Therapy and Sleep Psycho-Education with Exercise on Chronic Insomnia: A Randomized Controlled Trial. Psychother. Psychosom. 2017, 86, 241–253. [Google Scholar] [CrossRef]
  50. Day, M.A.; Thorn, B.E.; Ward, L.C.; Rubin, N.; Hickman, S.D.; Scogin, F.; Kilgo, G.R. Mindfulness-based Cognitive Therapy for the Treatment of Headache Pain: A Pilot Study. Clin. J. Pain 2014, 30, 152–161. [Google Scholar] [CrossRef]
  51. Johannsen, M.; O’Connor, M.; O’Toole, M.S.; Jensen, A.B.; Højris, I.; Zachariae, R. Efficacy of Mindfulness-Based Cognitive Therapy on Late Post-Treatment Pain in Women Treated for Primary Breast Cancer: A Randomized Controlled Trial. J. Clin. Oncol. 2016, 34, 3390–3399. [Google Scholar] [CrossRef]
  52. Solati, K.; Mardani, S.; Ahmadi, A.; Danaei, S. Effect of mindfulness-based cognitive therapy on quality of life and self-efficacy in dialysis patients. J. Ren. Inj. Prev. 2019, 8, 28–33. [Google Scholar] [CrossRef]
  53. Godfrin, K.A.; van Heeringen, C. The effects of mindfulness-based cognitive therapy on recurrence of depressive episodes, mental health and quality of life: A randomized controlled study. Behav. Res. 2010, 48, 738–746. [Google Scholar] [CrossRef]
  54. Solati, K.; Mousavi, M.; Soleiman, K.; Hasanpour-Dehkordi, A. The Effectiveness of Mindfulness-based Cognitive Therapy on Psychological Symptoms and Quality of Life in Systemic Lupus Erythematosus Patients: A Randomized Controlled Trial. Oman Med. J. 2017, 32, 378–385. [Google Scholar] [CrossRef]
  55. Day, M.A.; Thorn, B.E. Mindfulness-based cognitive therapy for headache pain: An evaluation of the long-term maintenance of effects. Complement. Med. 2017, 33, 94–98. [Google Scholar] [CrossRef]
  56. O’Doherty, V.; Carr, A.; McGrann, A.; O’Neill, J.O.; Dinan, S.; Graham, I.; Maher, V. A Controlled Evaluation of Mindfulness-Based Cognitive Therapy for Patients with Coronary Heart Disease and Depression. Mindfulness 2014, 6, 405–416. [Google Scholar] [CrossRef] [Green Version]
Ijerph 18 06951 g001 550
Figure 1. Flow diagram of the participants.
Figure 1. Flow diagram of the participants.
Ijerph 18 06951 g001
Ijerph 18 06951 g002 550
Figure 2. Means before and after the treatment for all the variables. QL = quality of life; SE = self-efficacy.
Figure 2. Means before and after the treatment for all the variables. QL = quality of life; SE = self-efficacy.
Ijerph 18 06951 g002
Table
Table 1. Session contents.
Table 1. Session contents.
1. Abandoning the automatic habits of pain
Introduction to the program: welcome, presentation of the participants.
Establishment of rules, objectives, roles, and responsibilities. Theory of the door and introduction to the most common meditation practices.
2. Facing the challenges
Connections between thoughts–emotions–behaviors. Introduction of the ABC model. Stress-pain thermometer. Mindfulness with pleasurable experiences. Meditation centered on breathing.
3. Breathing as the anchor
Meditation based on the senses. Breathing as the anchor and sitting meditation. Working on unpleasant sensations. Awareness of stressing situations. Review of doubts and difficulties.
4. Learning how to be present
Sitting meditation: mindfulness of sounds and thoughts. Diary of stressful experiences and discussion about useless mental habits. Responsive 3-min breathing meditation. Movement-based mindfulness.
5. Active acceptance
Meditation in silence. The process of active acceptance. Automatic thoughts, intermediate beliefs, and main beliefs. Awareness of mental patterns. Sitting meditation.
6. Thoughts as only thoughts
Tendency towards interpretation. Seeing thoughts as only thoughts. Sitting meditation: working on difficulties. Relationship between emotional and physical state and thoughts. Tool for changing the point of view. Thermometer of pain. Mindfulness maintenance plan.
7. Caring for oneself
Sitting meditation: working with difficult thoughts, training on acceptance without judgement. Identification of warning signs and plans to decrease stress. Full attention to daily-life activities. Exchange of ideas about informal practices.
8. Maintenance in the management of chronic pain
Body scanner. Identification of red flags of stress and pain and use of options to face them. Experience of participants in the program. Metaphor of “mindfulness backpack” about the tools learned and how to continue using them. Maintenance plan. Meditation of the shell.
Table
Table 2. Sociodemographic characteristic and medical diagnoses of the participants.
Table 2. Sociodemographic characteristic and medical diagnoses of the participants.
VariablesN (%)
Sex
Male13 (22.8)
Female44 (77.2)
Marital status
Single10 (17.6)
Married33 (57.9)
Divorced8 (14)
Widowed6 (10.5)
Employment status
Active11 (19.3)
On leave9 (15.8)
Disability10 (17.5)
Retired15 (26.3)
Homemaker12 (21.1)
Diagnosis
Low back pain/lumbosciatic pain22 (38.6)
Neck pain/cervicobrachialgia7 (12.3)
Fibromyalgia7 (12.3)
Rheumatic arthritis6 (10.5)
Other medical conditions that imply chronic pain15 (26.3)
Center
General University Hospital of Alicante23 (40.4)
Marina Baixa Hospital11 (19.3)
Vega Baja Hospital23 (40.4)
Table
Table 3. t-test and Cohen’s d results.
Table 3. t-test and Cohen’s d results.
PrePost
M (DT)M(DT)tglpd
Intensity of pain last 3 days7.54 (1.56)8.17 (12)−0.39540.702−0.073
Present pain intensity2.95 (.65)2.62 (0.73)2.96540.0040.477
QL 1 physical28.60 (5.62)28.54 (2.31)0.05470.9580.013
QL 1 mental32.49 (12.44)38.96 (13.26)−2.98470.005−0.503
SE 2 symptoms32 (12.71)40 (17.96)−4.01560.000−0.527
SE 2 physical25.21 (13.91)29 (14.7)−1.93560.059−0.264
SE 2 pain control11.98 (9.64)18.14 (12.04)−4.26560.000−0.564
SE 2 total69.19 (31.54)87.47 (41.11)−3.78560.000−0.498
Anxiety10.94 (4.06)10.08 (4.11)1.78560.0790.21
Depression11.15 (4.80)9.36 (4.79)3.12560.0030.378
Sleep disturbances30.95 (15.61)58.83 (25)−8.12560.000−10.337
Quantity of sleep5.38 (1.44)5.28 (1.36)−8.12560.0000.071
Optimum sleep0.07 (0.26)0.05 (0.23)0.444520.6590.081
Snoring58.14 (41.53)52.22 (36.94)1.19530.2360.150
Awake46.07 (34.09)45.35 (31.33)0.21550.8390.021
Somnolence46.90 (24.78)45.38 (23.10)0.54560.590.063
Suitability30.70 (29.32)30 (25.14)0.19560.8490.021
Interference sleep 6 items59.76 (21.64)57.42 (21.14)0.83560.4060.109
Interference sleep 9 items60.25 (21.28)56.16 (21.05)10.42560.1600.193
Acceptance38.33 (16)40.28 (17.45)−0.84560.400−0.116
Engagement in activities24.64 (12.45)24.47 (13.48)0.1560.9210.013
Pain Willingness13.68 (8.79)15.80 (10.29)−1.29560.199−0.221
Mindfulness attitude3.85 (3.47)3.72 (1.19)0.28550.7810.05
1 QL = quality of life; 2 SE = self-efficacy.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Pardos-Gascón, E.M.; Narambuena, L.; Leal-Costa, C.; Ramos-Morcillo, A.J.; Ruzafa-Martínez, M.; van-der Hofstadt Román, C.J. Effects of Mindfulness-Based Cognitive Therapy for Chronic Pain: A Multicenter Study. Int. J. Environ. Res. Public Health 2021, 18, 6951. https://doi.org/10.3390/ijerph18136951

AMA Style

Pardos-Gascón EM, Narambuena L, Leal-Costa C, Ramos-Morcillo AJ, Ruzafa-Martínez M, van-der Hofstadt Román CJ. Effects of Mindfulness-Based Cognitive Therapy for Chronic Pain: A Multicenter Study. International Journal of Environmental Research and Public Health. 2021; 18(13):6951. https://doi.org/10.3390/ijerph18136951

Chicago/Turabian Style

Pardos-Gascón, Estela María, Lucas Narambuena, César Leal-Costa, Antonio Jesús Ramos-Morcillo, María Ruzafa-Martínez, and Carlos J. van-der Hofstadt Román. 2021. "Effects of Mindfulness-Based Cognitive Therapy for Chronic Pain: A Multicenter Study" International Journal of Environmental Research and Public Health 18, no. 13: 6951. https://doi.org/10.3390/ijerph18136951

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop