Publication Cover
Canadian Journal of Pain
Revue canadienne de la douleur
Volume 7, 2023 - Issue 1
1,672
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Examining the roles of depression, pain catastrophizing, and self-efficacy in quality of life changes following chronic pain treatment

, , ORCID Icon, & ORCID Icon
Article: 2156330 | Received 21 Mar 2022, Accepted 05 Dec 2022, Published online: 17 Feb 2023

ABSTRACT

Background

Adults with chronic pain have a lower quality of life (QOL) compared to the general population. Chronic pain requires specialized treatment to address the multitude of factors that contribute to an individual’s pain experience, and effectively managing pain requires a biopsychosocial approach to improve patients’ QOL.

Aim

This study examined adults with chronic pain after a year of specialized treatment to determine the role of cognitive markers (i.e., pain catastrophizing, depression, pain self-efficacy) in predicting changes in QOL.

Methods

Patients in an interdisciplinary chronic pain clinic (N = 197) completed measures of pain catastrophizing, depression, pain self-efficacy, and QOL at baseline and 1 year later. Correlations and a moderated mediation were completed to understand the relationships between the variables.

Results

Higher baseline pain catastrophizing was significantly associated with increased mental QOL (b = 0.39, 95% confidence interval [CI] 0.141; 0.648) and decreased depression (b = −0.18, 95% CI −0.306; −0.052) over a year. Furthermore, the relationship between baseline pain catastrophizing and the change in depression was moderated by the change in pain self-efficacy (b = −0.10, 95% CI −0.145; −0.043) over a year. Patients with high baseline pain catastrophizing reported decreased depression after a year of treatment, which was associated with greater QOL improvements but only in patients with unchanged or improved pain self-efficacy.

Conclusions

Our findings highlight the roles of cognitive and affective factors and their impact on QOL in adults with chronic pain. Understanding the psychological factors that predict increased mental QOL is clinically useful, because medical teams can optimize these positive changes in QOL through psychosocial interventions aimed at improving patients’ pain self-efficacy.

RÉSUMÉ

Contexte: Les adultes souffrant de douleur chronique ont une qualité de vie inférieure à celle de la population en général. La douleur chronique nécessite un traitement spécialisé pour répondre à la multitude de facteurs qui contribuent à l’expérience de la douleur d’un individu. De plus, la prise en charge efficace de la douleur nécessite une approche biopsychosociale pour améliorer la qualité de vie des patients.

Objectif: Cette étude a examiné des adultes souffrant de douleur chronique après un an de traitement spécialisé pour déterminer le rôle des marqueurs cognitifs (c.-à-d. la catastrophisation de la douleur, la dépression, l’efficacité personnelle face à la douleur) dans la prévision des changements dans la qualité de vie.

Méthodes: Les patients d’une clinique interdisciplinaire de la douleur chronique (N = 197) ont effectué des mesures de la catastrophisation de la douleur, de la dépression, du sentiment d’efficacité personnelle face à la douleur, ainsi que de la qualité de vie au départ et un an plus tard. Des corrélations et une médiation modérée ont été effectuées pour comprendre les relations entre les variables.

Résultats: Une plus grande catastrophisation de la douleur au départ était significativement associée à une augmentation de la qualité de vie mentale (b = 0,39, intervalle de confiance à 95 % [IC] 0,141; 0,648) et à une diminution de la dépression (b = -0,18, IC à 95 % −0,306; −0,052) sur une année. En outre, la relation entre la catastrophisation de la douleur au départ et les changements en matière de dépression a été modérée par le changement dans le sentiment d’efficacité personnelle face à la douleur (b = − 0,10, IC à 95 % − 0,145; − 0,043) sur une année. Les patients démontrant une catastrophisation de la douleur élevée ont signalé une diminution de la dépression après un an de traitement, associée à de plus grandes améliorations dans la qualité de vie mais seulement chez les patients présentant un sentiment d’efficacité personnelle face à la douleur inchangée ou améliorée.

Conclusions: Nos résultats mettent en évidence le rôle des facteurs cognitifs et affectifs et leur effet sur la qualité de vie chez les adultes souffrant de douleur chronique. Il est cliniquement utile de comprendre les facteurs psychologiques qui prédisent une augmentation la qualité de vie mentale, car les équipes médicales peuvent optimiser ces changements positifs dans la qualité de vie par des interventions psychosociales visant à améliorer le sentiment d’efficacité personnelle des patients face à la douleur.

Introduction

One in five adult Canadians are afflicted with chronic pain, a widespread and debilitating condition.Citation1 The chronic pain experience often includes complex interactions between physiological, emotional, cognitive, social, and environmental factors,Citation2 and psychological factors can heavily influence symptom presentation and prognosis.Citation2,Citation3 Therefore, specialized pain treatment, as offered in interdisciplinary chronic pain clinics and programs, addresses biological, psychological, and social factors that contribute to an individual’s pain experience to optimize pain relief and coping. Specialized pain treatment often focuses on improving patients’ function and quality of life (QOL), rather than pain elimination. Patients treated in an interdisciplinary pain clinic have demonstrated significant improvements in QOL after 6 months and a significant decrease in pain severity after 1 year.Citation4

Broadly defined as one’s perceived overall well-being, QOL is an important target in pain management. When pain is not effectively treated and/or managed, it has a significant negative impact on all dimensions of QOL. In fact, adults with chronic pain have significantly lower QOL compared to the general populationCitation5,Citation6 but also lower than adults with cancer, heart disease, or diabetes.Citation7 As such, we wanted to better understand the factors that drive improvements in QOL in adults with chronic pain. It is often thought that patients’ QOL would simply improve by providing pain relief; however, a study examining patients with low back pain failed to find a significant relationship between pain relief and improvements in QOL that exceeded 2 months.Citation8 Additionally, Kovacs et al.Citation9 found that QOL was predicted by disability, not pain severity. Psychological factors such as pain catastrophizing,Citation6,Citation10 depression,Citation11 and self-efficacyCitation12,Citation13 were also found to be better predictors of QOL than pain intensity. Pain catastrophizing (a maladaptive cognitive process of exaggerated, negative reactions to expected or actual painful experiencesCitation14,Citation15) was found to be independently associated with QOLCitation10,Citation13,Citation16 and the strongest predictor of QOL compared to pain intensity and demographic variablesCitation6 in adults with chronic pain. High pain catastrophizing has been associated with poor treatment outcomes,Citation16 and thus we were interested in examining the negative relationship between pain catastrophizing and QOL to determine a mechanism by which it can be reversed. In clinical practice, it is vital to determine how to improve QOL outcomes for patients with high pain catastrophizing at the point of intake for specialized pain care.

Because pain catastrophizing is a strong predictor of reduced QOL, it is important for clinicians to better understand what drives this relationship. Depression may mediate because pain catastrophizing is a strong predictor of depressionCitation17,Citation18 and depression is associated with low perceived QOL.Citation11,Citation19,Citation20 However, to our knowledge, no studies have examined this mediating effect. It is also important to investigate what might drive the relationship between pain catastrophizing and depression. One domain of pain catastrophizing is helplessness, and the degree to which a person catastrophizes is a function of their feelings of control (or lack thereof) over their pain. Patients with higher levels of pain self-efficacy (an individual’s beliefs about their ability to successfully cope with pain and/or related negative emotions, to complete daily tasks, and to implement pain management strategiesCitation21) are less likely to engage in pain catastrophizing.Citation22–24 Adaptive cognitive processes (e.g., pain self-efficacy) contribute to resilient pain coping,Citation25 and patients with higher self-efficacy report less pain,Citation26–30 depression,Citation26,Citation29,Citation31–33 disability,Citation26–28,Citation34,Citation35 affective distress,Citation28,Citation36 and catastrophizing.Citation12,Citation29,Citation37 Because an individual’s sense of control over their pain is a key part of pain catastrophizing, self-efficacy may be a potential moderator by which patients improve their pain catastrophizing and depressive symptoms. In fact, pain self-efficacy has been found to serve as a moderating variable between pain intensity and depression and between pain intensity and pain catastrophizing in adults with chronic pain.Citation37 Further research is required to determine pain self-efficacy’s role in moderating the relationship between pain catastrophizing and depression directly. Clinically, it is also important to assess the role of pain self-efficacy, because it is often a targetable outcome in self-management programs for chronic pain.

Few studies have examined the psychological factors that predict changes in adult patients’ QOL over a year of specialized chronic pain treatment.Citation38,Citation39 Examining these cognitive markers and developing a better understanding of the mechanism by which QOL can be improved could lead to more targeted treatments for chronic pain. Therefore, the goal of this study was to determine the role of pain catastrophizing, depression, and pain self-efficacy in predicting changes in QOL in adults with chronic pain after a year of specialized treatment. First, we investigated how patients’ pain catastrophizing at intake into an interdisciplinary chronic pain clinic related to their change in QOL over a year and determined whether their change in depression was a mediator of this relationship. Second, we examined whether the mediating role of their change in depression varied as a function of their change in pain self-efficacy. We predicted that lower baseline pain catastrophizing would be related to improved QOL over a year and that this relationship was explained by the mediating effect of decreased depression over the year (Hypothesis 1). However, we predicted that this relationship would only occur for patients with pain self-efficacy that increased over the year (Hypothesis 2).

Methods

Study Design and Data Source

This observational study used patient-reported data from the Kingston Health Sciences Centre (KHSC) Chronic Pain Registry collected from November 2017 to May 2021. This chronic pain database included sociodemographic information and biopsychosocial outcomes from patients attending the KHSC Chronic Pain Clinic (KHSC-CPC) in Kingston, Ontario, Canada. The KHSC-CPC is a publicly funded outpatient service providing comprehensive pain management to adults living with chronic pain throughout Southeastern Ontario. Using an interdisciplinary approach, a variety of treatments are offered in form of group-based interventions, one-on-one consultation with specific disciplines, medication management and optimization, and interventional pain management procedures. The clinical team includes four anesthesiologists, one neurosurgeon, four nurse practitioners, three registered nurses, three registered practical nurses, two physiotherapists, two occupational therapists, one psychologist, and two social workers, supported by administrative staff and a clinical research coordinator.

Patients seeking care at the KHSC-CPC completed an initial self-report questionnaire package before their first assessment. Patients were informed that their data would be used for clinical services and for research purposes, should they choose to provide written consent for research involvement. It was clarified to patients that involvement in research was voluntary and would not affect the health care they received at the clinic. Patients who did not provide consent for their information to be used for research were excluded from this study. Patients attending the KHSC-CPC were also asked to complete a self-report questionnaire at every subsequent visit with a physician or nurse practitioner. This study was approved by the Queen’s University Health Sciences and Affiliated Teaching Hospital’s Research Ethics Board (ANA-336-18-6023876).

Measures

Baseline questionnaires (at intake into the clinic) and those completed 1 year later at a follow-up appointment are a component of usual data collection and were used in all analyses for this study. The proposed moderated mediation model is presented in .

Figure 1. The proposed moderated mediation model.

Figure 1. The proposed moderated mediation model.

Pain catastrophizing was measured using the Pain Catastrophizing Scale Short Form (PCS-6).Citation40 PCS-6 is a six-item measure where participants indicate the frequency with which they experienced pain-related thoughts and feelings on a 5-point scale (0 = not at all, 4 = all the time). PCS-6 has good reliability.Citation41,Citation42 For the analyses, baseline total PCS-6 scores were obtained by summing the items. Higher scores indicated increased (worse) pain catastrophizing.

Quality of life was measured using the Short Form-12 Health Survey (SF-12v2).Citation43 SF-12v2 is a 12-item measure examining eight health domains. The SF-12v2 is scored by summing the appropriate items into two separate summary scores, the physical component summary and the mental component summary, indicating physical QOL and mental QOL, respectively. SF-12v2 has good reliability.Citation44 To obtain the change in physical and mental QOL, we subtracted each participant’s component score at baseline from their component score at follow-up. Higher scores indicated improved physical or mental QOL.

Depression was measured using the Patient Health Questionnaire (PHQ-9).Citation45 PHQ-9 is a 9-item measure assessing the degree of depression severity over the past 2 weeks on a 4-point scale (0 = not at all, 3 = nearly every day). PHQ-9 has good reliability.Citation45 Total PHQ-9 scores were obtained by summing the items. To obtain the change in depression, we subtracted each participant’s total score at baseline from their total score at follow-up. Higher scores indicated increased (more severe) depression.

Pain self-efficacy was measured using the Short Form Pain Self-Efficacy Scale (PSEQ-2).Citation46 PSEQ-2 is a two-item measure where participants indicate the degree to which they believe they can complete daily tasks on a 7-point scale (0 = not at all confident, 6 = completely confident). PSEQ-2 has good reliability.Citation46 Total PSEQ-2 scores were obtained by summing the items. To obtain the change in pain self-efficacy, we subtracted each participant’s score at baseline from their score at follow-up. Higher scores indicated improved pain self-efficacy.

Statistical Analyses

Pearson correlations assessed the relationships between the variables in the study. Correlations were considered weak if the correlation coefficient was <0.4, moderate if between 0.4 and 0.7, and strong if ≥0.7.Citation47 To test our hypotheses, we performed a statistical mediation and moderated mediation analyses using the lavaan packageCitation48 in R.Citation49 We used a statistical mediation model because we wanted to understand the factors that relate to the key outcome of patients’ QOL. Acknowledging the inferential limitations of mediation modelsCitation50,Citation51 (specifically that they do not determine causality), we will for simplicity herein refer to statistical mediation as mediation, without implying causality. In both the mediation and moderated mediation analyses, 10,000 bootstrapped estimates were used for the construction of 95th percentile corrected confidence intervals (CIs) for the conditional indirect effects.Citation52,Citation53 In the moderated mediation, these CIs were used to assess the significance of the indirect effects at specific values of the moderator (the change in pain self-efficacy) using the “pick-a-point” approach.Citation54,Citation55 The centered mean and a standard deviation above and below the centered mean of pain self-efficacy were used to represent unchanged, increased, and decreased pain self-efficacy, respectively. In both the mediation and moderated mediation analyses, the reported bs are standardized regression coefficients. The criterion for statistical significance was the absence of zero within the confidence intervals. Although mediation and moderated mediation analyses were performed with either physical or mental QOL change score as the outcome, no significant mediation effects were found with patients’ change in physical QOL scores, and thus only the findings using patients’ change in mental QOL are reported. To ensure that the model was not driven by patients’ change in pain severity, we also ran the model controlling for this. Because similar results were found when running both models, we will hereafter only report the results of the simpler and more naturalistic model, which did not control for the change in pain severity.

Results

Participants

The study sample consisted of 251 eligible participants who had chronic pain, were ≥18 years old, and had an initial and 1-year appointment completed at the KHSC-CPC. Because 54 participants did not fully complete the questionnaires, they were excluded from the analyses. The final sample included in the analyses consisted of 197 participants with an average age of 51.53 years (SD 15.07, range = 18–91). Most participants were women (62.9%, n = 124), nonsmokers (60.9%, n = 92), living in a household with other adult(s) (56.9%, n = 107), and completed college or a high level of education (56.0%, n = 103). The study sample included adults with neuropathic or nonneuropathic pain (69.0%, n = 136) who reported on average 3.61 pain sites (SD 2.15, range = 0–9). The three most reported pain sites were chronic low back pain (74.6%, n = 147), lower limb pain (60.9%, n = 120), and upper limb pain (53.8%, n = 106). Participants had on average 4.11 (SD 0.88, range = 2–5) visits in their first year as a patient at KHSC-CPC. On average, participants had significantly improved physical QOL, decreased pain catastrophizing, and decreased depressive symptoms after 1 year of treatment ().

Table 1. Mean and SD for the study variables (N = 195) at baseline and 1-year follow-up.

Correlation Analyses

The correlation coefficients between the study variables are presented in . We found a significant, albeit weak, correlation between baseline pain catastrophizing and the change in mental QOL (r = 0.20) as well as the change in depression (r = −0.21). The change in depression and change in mental QOL had a significant, moderate correlation (r = −0.60). There was no significant correlation between baseline pain catastrophizing and the change in pain self-efficacy (r = 0.10). The change in pain catastrophizing and change in mental and physical QOL was significant and negatively correlated (r = −0.28, P < 0.001, n = 194 and r = −0.33, P < 0.001, n = 194, respectively). Patients’ age and sex were not correlated with any of the study variables.

Table 2. Pearson correlation coefficients for the study variables (N = 195).

Mediation Analyses

First, we tested whether baseline pain catastrophizing was related to patients’ change in QOL after 1 year. This relationship was only significant for mental QOL, such that higher (or more severe) pain catastrophizing was associated with greater improvements in mental QOL (b = 0.39; z = 3.00; 95% CI 0.141, 0.648). Next, we examined the indirect effect by testing whether the patients’ change in depression mediated the effect of baseline pain catastrophizing on the change in QOL. Results from a joint significance testCitation56 indicated that the indirect effect was only significant for mental QOL, such that more severe baseline pain catastrophizing was associated with decreased depression over the year (b = −0.18; z = −2.75; 95% CI −0.306, −0.052) and decreased depression was associated with increased mental QOL while controlling for pain catastrophizing (b = −1.16; z = −10.61; 95% CI −1.365, −0.931). The effect of pain catastrophizing on the change in mental QOL after controlling for change in depression was not significant (b = 0.19; z = 1.61; 95% CI −0.039, 0.418).

Moderated Mediation Analyses

The moderated mediation model () was assessed using Hayes’ model 7.Citation57 We tested the conditional indirect effect of the change in pain self-efficacy on the relationship between baseline pain catastrophizing and the change in mental QOL that occurs through the change in depression. Specifically, we assessed whether the change in pain self-efficacy moderated the relationship between pain catastrophizing and the change in depression. Each variable was continuous, and centered values were used for pain catastrophizing, change in depression, and change in pain self-efficacy. The moderation effect is presented in .

Figure 2. The moderation effect of the change in pain self-efficacy between baseline pain catastrophizing and change in depression. When pain self-efficacy decreased or was unchanged, there was no relationship between baseline pain catastrophizing and change in depression. However, there was a significant relationship between pain catastrophizing and the change in depression when pain self-efficacy increased. Patients with lower baseline pain catastrophizing had more severe (or worsening) depression after a year. Conversely, those with high baseline pain catastrophizing had decreased (or improved) depression after a year.

Figure 2. The moderation effect of the change in pain self-efficacy between baseline pain catastrophizing and change in depression. When pain self-efficacy decreased or was unchanged, there was no relationship between baseline pain catastrophizing and change in depression. However, there was a significant relationship between pain catastrophizing and the change in depression when pain self-efficacy increased. Patients with lower baseline pain catastrophizing had more severe (or worsening) depression after a year. Conversely, those with high baseline pain catastrophizing had decreased (or improved) depression after a year.

We found that the relationship between baseline pain catastrophizing and the change in depression was moderated by patients’ change in pain self-efficacy (b = −0.10; z = −3.59; 95% CI −0.145, −0.043). Altogether, the mediation was moderated, such that the indirect effect of pain catastrophizing on the change in mental QOL through the change in depression depended on the change in pain self-efficacy (b = 0.11; z = 3.25; 95% CI 0.046, 0.177). Overall, the model accounted for 15% of the variance in the change in depression (RCitation2 = 0.146) and 38% in the change in mental QOL (RCitation2 = 0.378).

The pick-a-point approach was used to examine the significant relationship between pain catastrophizing and change in depression at one standard deviation below and above as well as at mean levels of pain self-efficacy. One hundred thirty-seven (69.5%) participants had unchanged or little change in their pain self-efficacy, 25 (12.7%) participants had decreased, and 35 (17.8%) participants had increased pain self-efficacy after a year. The indirect effect of pain catastrophizing on the change in mental QOL through change in depression was significant among patients with unchanged (b = 0.22; z = 2.56; 95% CI 0.060, 0.389) and increased (b = 0.51; z = 3.47; 95% CI 0.230, 0.799) pain self-efficacy but was not significant among patients with decreased (b = −0.09; z = −0.96; 95% CI −0.286, 0.089) pain self-efficacy. Altogether, a significant relationship between pain catastrophizing and change in depression was found across multiple levels of pain self-efficacy. As pain self-efficacy improved, the beta values of the indirect conditional effects increased. These results suggest that the relationship between pain catastrophizing and change in depression becomes stronger as pain self-efficacy improves.

Discussion

This study demonstrates that the relationship between baseline pain catastrophizing and the change in mental QOL after a year is mediated by the patients’ change in depression. Furthermore, the relationship between baseline pain catastrophizing and the change in depression (the mediation effect) depends on the patients’ change in pain self-efficacy. Specifically, patients with high baseline pain catastrophizing reported decreased depression, and this association was greater as pain self-efficacy increased. The results partly support Hypothesis 1 because higher pain catastrophizing scores at baseline were associated with improved mental QOL scores over a year, and this relationship was mediated by decreased depression over the year. The results also partly support Hypothesis 2 because this mediated relationship was moderated by increased and unchanged pain self-efficacy. Note that because information about specific treatment(s) and intervention(s) received by participants in our sample was not available, clinical implications of our findings are further discussed based on previous literature.

It was surprising that the mediation analyses were only significant for mental QOL rather than both physical and mental QOL, because higher pain catastrophizing has been found to have a direct negative association on depression, which negatively impacts physical and mental QOL.Citation58 In our study, the mediation using mental QOL was found to be significant because pain catastrophizing, depression, and self-efficacy are variables representative of psychological functioning, and significant correlations were found in our sample between these variables and baseline mental QOL (as seen in ). On the other hand, in our sample, physical QOL may have correlated more highly with physical functioning, such as pain severity and pain interference with daily activities, and thus changes in physical QOL may have depended more on changes in the manifestation of pain symptoms.

In this study, we have determined a mechanism by which mental QOL can be improved over a year of specialized chronic pain treatment. Firstly, we found that patients with the greatest improvement in mental QOL over a year were those with high baseline pain catastrophizing. This is supported by previous literature because individuals not receiving specialized pain treatment have high pain catastrophizing, and higher pain catastrophizing is related to strong fear avoidance beliefs, thus negatively impacting physical and mental QOL over time.Citation58,Citation59 Our findings suggest that patients with high pain catastrophizing can improve their QOL by receiving specialized pain treatment. In fact, Gilliam et al.Citation60 examined the effects of a 3-week cognitive behavioral therapy program for adults with chronic pain and found that patients who had improved pain catastrophizing also had significant improvements in mental QOL compared to those with unchanged pain catastrophizing.Citation60

To explore a mechanism by which changes in mental QOL can be related to baseline pain catastrophizing, we examined patients’ change in depression over the year. We found that the change in depression was a significant mediator of this relationship, such that higher baseline pain catastrophizing was significantly associated with decreased depression over the year, which in turn was related to improved mental QOL. It is likely that people with high baseline pain catastrophizing had the most room to improve on their depression and mental QOL scores, as supported with the high correlations of these measures at baseline. This is also supported by the literature, because improvements in pain catastrophizing precede changes in pain-related outcomes in patients receiving multidisciplinary chronic pain treatment.Citation61,Citation62 Additionally, we found that the change in depression had a significant negative association with mental QOL while controlling for pain catastrophizing. This finding aligns with existing evidence that improvements in depression predict better pain outcomes and increased QOL.Citation63,Citation64 This can be applied clinically, because patients with high pain catastrophizing can be streamlined into interventions to improve their depressive symptoms, which will indirectly improve their QOL. For instance, Craner et al.Citation65 found that after undergoing a 3-week multidisciplinary pain rehabilitation program, adults with chronic pain had significantly decreased pain catastrophizing, which significantly mediated the improvement in depressive symptoms. Psychological interventions (e.g., acceptance and mindfulness-based treatments) for chronic pain have also been found to significantly reduce catastrophizing beliefsCitation66 and depression,Citation67 as well as improve pain self-efficacyCitation66 and health-related QOL.Citation67 A meta-analysis of acceptance- and mindfulness-based treatments for chronic pain found moderate effect sizes for depression and QOL 2 to 6 months posttreatment.Citation68

To further elucidate how a greater reduction in depression over the year was related to high baseline pain catastrophizing, we assessed whether the mediation effect was moderated by another variable. We examined self-efficacy because it has been found to serve as a protective factor against depression in those with chronic pain.Citation32,Citation33 We found that pain self-efficacy moderated the association between pain catastrophizing and change in depression in patients with unchanged or increased pain self-efficacy, and the relationship became more positive as pain self-efficacy increased. However, this relationship was not significant for patients with decreased pain self-efficacy. This finding is partially supported by the literature, because Cheng et al.Citation37 found that pain self-efficacy moderated the relationship between pain intensity and depressive symptoms, as well as the relationship between pain intensity and pain catastrophizing. These findings suggest that increasing levels of pain self-efficacy may reduce depressive symptoms by reducing pain catastrophizing.Citation37 Similarly, the findings of the current study support that unchanged or improved pain self-efficacy may be an important mechanism in improving the mental QOL of patients with chronic pain. However, the cross-sectional nature of this study prevents strong conclusions.

This study highlights the importance of identifying baseline psychosocial characteristics in patients that can predict changes in their QOL long term. By evaluating the mechanism by which adult patients’ mental QOL increases over a year of specialized treatment, we better understand the importance of improving pain self-efficacy in those with high pain catastrophizing at intake into an interdisciplinary pain clinic. In fact, improving pain self-efficacy and decreasing pain catastrophizing have been found to prolong the positive effects of specialized pain treatment.Citation29 By identifying these key characteristics at baseline, patients can be streamlined into psychological interventions that target these psychosocial variables, thus resulting in improved QOL in a shorter period of time. These psychosocial variables may also be baseline indicators that can be used to predict the likelihood of patients’ future successes in certain psychological interventions (e.g., targeting pain catastrophizing, improving pain self-efficacy).

Some study limitations should be noted. First, our findings cannot be linked to a specific treatment or type of interventions that patients received over the year, because these data were not available in the KHSC Chronic Pain Registry. Thus, it is unclear which treatments/interventions led to improvements in depressive symptoms, pain self-efficacy, and mental QOL. Note that for this reason, our earlier discussion on clinical implications and which interventions led to changes in pain catastrophizing, depressive symptoms, self-efficacy, and mental QOL was based on previous literature, rather than recommendations based directly from our findings. Our findings suggest that pain treatment focusing on pain self-efficacy would be best for patients with high pain catastrophizing to improve QOL, but this needs to be confirmed with further investigation. Second, this study used a correlational design; thus, we cannot make conclusions about the causal relationships between the study variables. Further, because there are only two time points in this study, reverse causality cannot be ruled out.

Conclusion

The results of this study highlight the roles of cognitive and affective factors and their impact on mental QOL in adults with chronic pain. It was found that patients’ change in depression mediated the relationship between baseline pain catastrophizing and the change in mental QOL after a year. It was further determined that this mediation effect was moderated by patients’ change in pain self-efficacy, as long as their self-efficacy remained unchanged or improved. Understanding the psychological factors that predict increased mental QOL is clinically useful, because medical teams may be able to optimize these positive changes in QOL through psychosocial interventions aimed at improving patients’ pain self-efficacy. Our findings suggest that individuals with high pain catastrophizing at intake into a specialized pain clinic should be targeted for self-management programs/interventions that target improvement in self-efficacy.

Disclosure Statement

EJB’s time on this project was supported in part by grants to SD from the Canadian Institutes of Health Research Strategy for Patient Oriented Research Chronic Pain Network (SCA-145102) and Ontario Ministry of Health. LM’s time on this project was supported in part by the Alison B. Froese Research Fund (granted to EJB and SD) and the Franklin Bracken Fellowship at Queen’s University. TVS and RW have no conflicts of interest to declare.

Additional information

Funding

This work was supported by the Department of Anesthesiology & Perioperative Medicine, Queen’s University (Alison B. Froese Research Fund), and the Canadian Institutes of Health Research Strategy for Patient Oriented Research Chronic Pain Network (SCA-145102).

References

  • Shupler MS, Kramer JK, Cragg JJ, Jutzeler CR, Whitehurst DG. Pan-Canadian estimates of chronic pain prevalence from 2000 to 2014: a repeated cross-sectional survey analysis. J Pain. 2019;20(5):557–10. doi:10.1016/j.jpain.2018.10.010.
  • Turk DC, Wilson HD, Cahana A. Treatment of chronic non-cancer pain. Lancet. 2011;377(9784):2226–35. doi:10.1016/S0140-6736(11)60402-9.
  • Linton SJ, Shaw WS. Impact of psychological factors in the experience of pain. Phys Ther. 2011;91(5):700–11. doi:10.2522/ptj.20100330.
  • Garven A, Brady S, Wood S, Hatfield M, Bestard J, Korngut L, Toth C. The impact of enrollment in a specialized interdisciplinary neuropathic pain clinic. Pain Res Manag. 2011;16(3):127.e1–127.e8. doi:10.1155/2011/518710.
  • Cheak-Zamora NC, Wyrwich KW, McBride TD. Reliability and validity of the SF-12v2 in the medical expenditure panel survey. Qual Life Res. 2009;18(6):727–35. doi:10.1007/s11136-009-9483-1.
  • Lamé IE, Peters ML, Vlaeyen JW, Kleef M, Patijn J. Quality of life in chronic pain is more associated with beliefs about pain, than with pain intensity. Eur J Pain. 2005;9(1):15–24. doi:10.1016/j.ejpain.2004.02.006.
  • Choinière M, Ware MA, Pagé MG, Lacasse A, Lanctot H, Beaudet N, Boulanger A, Bourgault P, Cloutier C, Coupal L, et al. Development and implementation of a registry of patients attending multidisciplinary pain treatment clinics: the Quebec pain registry. Pain Res Manag. 2017;2017:8123812. doi:10.1155/2017/8123812.
  • Horng Y-S, Hwang Y-H, Wu H-C, Liang H-W, Mhe YJ, Twu F-C, Wang J-D. Predicting health-related quality of life in patients with low back pain. Spine. 2005;30(5):551–55. doi:10.1097/01.brs.0000154623.20778.f0.
  • Kovacs FM, Abraira V, Zamora J, Fernández C, Network SBPR. The transition from acute to subacute and chronic low back pain: a study based on determinants of quality of life and prediction of chronic disability. Spine. 2005;30(15):1786–92. doi:10.1097/01.brs.0000172159.47152.dc.
  • McPeak AE, Allaire C, Williams C, Albert A, Lisonkova S, Yong PJ. Pain catastrophizing and pain health-related quality-of-life in endometriosis. Clin J Pain. 2018;34(4):349–56. doi:10.1097/AJP.0000000000000539.
  • Börsbo B, Peolsson M, Gerdle B. The complex interplay between pain intensity, depression, anxiety and catastrophising with respect to quality of life and disability. Disabil Rehabil. 2009;31(19):1605–13. doi:10.1080/09638280903110079.
  • Börsbo B, Gerdle B, Peolsson M. Impact of the interaction between self-efficacy, symptoms and catastrophising on disability, quality of life and health in with chronic pain patients. Disabil Rehabil. 2010;32(17):1387–96. doi:10.3109/09638280903419269.
  • Hashimoto A, Sonohata M, Mawatari M. The use of oral Analgesics and pain self-efficacy are independent predictors of the quality of life of individuals with rheumatoid arthritis. Pain Res Manag. 2020;2020:7409396. doi:10.1155/2020/7409396.
  • Sullivan MJ, Bishop SR, Pivik J. The Pain Catastrophizing Scale: development and validation. Psychol Assess. 1995;7(4):524. doi:10.1037/1040-3590.7.4.524.
  • Sullivan MJ, Thorn B, Haythornthwaite JA, Keefe F, Martin M, Bradley LA, Lefebvre JC. Theoretical perspectives on the relation between catastrophizing and pain. Clin J Pain. 2001;17(1):52–64. doi:10.1097/00002508-200103000-00008.
  • France CR, Ysidron DW, Slepian PM, French DJ, Evans RT. Pain resilience and catastrophizing combine to predict functional restoration program outcomes. Health Psychol. 2020;39(7):573. doi:10.1037/hea0000877.
  • Sullivan MJ, D’Eon JL. Relation between catastrophizing and depression in chronic pain patients. J Abnorm Psychol. 1990;99(3):260. doi:10.1037/0021-843X.99.3.260.
  • Turner JA, Jensen MP, Romano JM. Do beliefs, coping, and catastrophizing independently predict functioning in patients with chronic pain? Pain. 2000;85(1–2):115–25. doi:10.1016/S0304-3959(99)00259-6.
  • Elliott TE, Renier CM, Palcher JA. Chronic pain, depression, and quality of life: correlations and predictive value of the SF-36. Pain Med. 2003;4(4):331–39. doi:10.1111/j.1526-4637.2003.03040.x.
  • Gormsen L, Rosenberg R, Bach FW, Jensen TS. Depression, anxiety, health-related quality of life and pain in patients with chronic fibromyalgia and neuropathic pain. Eur J Pain. 2010;14(2):127.e1–127.e8. doi:10.1016/j.ejpain.2009.03.010.
  • Miles CL, Pincus T, Carnes D, Taylor SJ, Underwood M. Measuring pain self-efficacy. Clin J Pain. 2011;27(5):461–70. doi:10.1097/AJP.0b013e318208c8a2.
  • Lumley MA, Smith JA, Longo DJ. The relationship of alexithymia to pain severity and impairment among patients with chronic myofascial pain: comparisons with self-efficacy, catastrophizing, and depression. J Psychosom Res. 2002;53(3):823–30. doi:10.1016/S0022-3999(02)00337-9.
  • McKnight PE, Afram A, Kashdan TB, Kasle S, Zautra A. Coping self-efficacy as a mediator between catastrophizing and physical functioning: treatment target selection in an osteoarthritis sample. J Behav Med. 2010;33(3):239–49. doi:10.1007/s10865-010-9252-1.
  • Shelby RA, Somers TJ, Keefe FJ, Pells JJ, Dixon KE, Blumenthal JA. Domain specific self-efficacy mediates the impact of pain catastrophizing on pain and disability in overweight and obese osteoarthritis patients. J Pain. 2008;9(10):912–19. doi:10.1016/j.jpain.2008.05.008.
  • Nicholas MK. The pain self-efficacy questionnaire: taking pain into account. Eur J Pain. 2007;11(2):153–63. doi:10.1016/j.ejpain.2005.12.008.
  • Arnstein P, Caudill M, Mandle CL, Norris A, Beasley R. Self efficacy as a mediator of the relationship between pain intensity, disability and depression in chronic pain patients. Pain. 1999;80(3):483–91. doi:10.1016/S0304-3959(98)00220-6.
  • Ferrari S, Chiarotto A, Pellizzer M, Vanti C, Monticone M. Pain self‐efficacy and fear of movement are similarly associated with pain intensity and disability in Italian patients with chronic low back pain. Pain Pract. 2016;16(8):1040–47. doi:10.1111/papr.12397.
  • Jackson T, Wang Y, Wang Y, Fan H. Self-efficacy and chronic pain outcomes: a meta-analytic review. J Pain. 2014;15(8):800–14. doi:10.1016/j.jpain.2014.05.002.
  • Schumann ME, Coombes BJ, Gascho KE, Geske JR, McDermott MC, Morrison EJ, Reynolds AL, Bernau JL, Gilliam WP. Pain catastrophizing and pain self-efficacy mediate interdisciplinary pain rehabilitation program outcomes at posttreatment and follow-up. Pain Med. 2022;23(4):697–706. doi:10.1093/pm/pnab271.
  • Somers TJ, Kurakula PC, Criscione‐Schreiber L, Keefe FJ, Clowse ME. Self‐efficacy and pain catastrophizing in systemic lupus erythematosus: relationship to pain, stiffness, fatigue, and psychological distress. Arthritis Care Res. 2012;64(9):1334–40. doi:10.1002/acr.21686.
  • Rahman A, Reed E, Underwood M, Shipley M, Omar R. Factors affecting self-efficacy and pain intensity in patients with chronic musculoskeletal pain seen in a specialist rheumatology pain clinic. Rheumatology. 2008;47(12):1803–08. doi:10.1093/rheumatology/ken377.
  • Turner JA, Ersek M, Kemp C. Self-efficacy for managing pain is associated with disability, depression, and pain coping among retirement community residents with chronic pain. J Pain. 2005;6(7):471–79. doi:10.1016/j.jpain.2005.02.011.
  • Van Liew C, Brown KC, Cronan TA, Bigatti SM. The effects of self-efficacy on depression and pain in fibromyalgia syndrome: does initial depression matter? J Musculoskelet Pain. 2013;21(2):113–25. doi:10.3109/10582452.2013.797536.
  • Arnstein P. Self efficacy as a mediator of pain-related disability in different samples of chronic pain patients. Disabil Rehabil. 2000;22:794–801.
  • Arnstein P. The mediation of disability by self efficacy in different samples of chronic pain patients. Disabil Rehabil. 2000;22:794–801.
  • Anderson KO, Dowds BN, Pelletz RE, Edwards WT, Peeters-Asdourian C. Development and initial validation of a scale to measure self-efficacy beliefs in patients with chronic pain. Pain. 1995;63(1):77–83. doi:10.1016/0304-3959(95)00021-J.
  • Cheng S-T, Leung CM, Chan KL, Chen PP, Chow YF, Chung JW, Law AC, Lee JS, Leung EM, Tam CW. The relationship of self-efficacy to catastrophizing and depressive symptoms in community-dwelling older adults with chronic pain: a moderated mediation model. PLoS One. 2018;13(9):e0203964. doi:10.1371/journal.pone.0203964.
  • Skúladóttir H, Sveinsdottir H, Holden JE, Gunnarsdóttir TJ, Halldorsdottir S, Björnsdottir A. Pain, sleep, and health-related quality of life after multidisciplinary intervention for chronic pain. Int J Environ Res Public Health. 2021;18(19):10233. doi:10.3390/ijerph181910233.
  • Orenius T, Koskela T, Koho P, Pohjolainen T, Kautiainen H, Haanpää M, Hurri H. Anxiety and depression are independent predictors of quality of life of patients with chronic musculoskeletal pain. J Health Psychol. 2013;18(2):115–25. doi:10.1177/1359105311434605.
  • McWilliams L, Kowal J, Wilson K. Development and evaluation of short forms of the Pain Catastrophizing Scale and the pain self‐efficacy questionnaire. Eur J Pain. 2015;19(9):1342–49. doi:10.1002/ejp.665.
  • Osman A, Barrios FX, Gutierrez PM, Kopper BA, Merrifield T, Grittmann L. The Pain Catastrophizing Scale: further psychometric evaluation with adult samples. J Behav Med. 2000;23(4):351–65. doi:10.1023/A:1005548801037.
  • Osman A, Barrios FX, Kopper BA, Hauptmann W, Jones J, O’Neill E. Factor structure, reliability, and validity of the Pain Catastrophizing Scale. J Behav Med. 1997;20(6):589–605. doi:10.1023/A:1025570508954.
  • Ware JE Jr, Kosinski M, Keller SD. A 12-item short-form health survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34(3):220–33. doi:10.1097/00005650-199603000-00003.
  • Hayes CJ, Bhandari NR, Kathe N, Payakachat N. Reliability and validity of the medical outcomes study short form-12 version 2 (SF-12v2) in adults with non-cancer pain. Healthcare. 2017;5(2):22. doi:10.3390/healthcare5020022.
  • Kroenke K, Spitzer RL, Williams JB. The PHQ‐9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–13. doi:10.1046/j.1525-1497.2001.016009606.x.
  • Nicholas MK, McGuire BE, Asghari A. A 2-item short form of the pain self-efficacy questionnaire: development and psychometric evaluation of PSEQ-2. J Pain. 2015;16(2):153–63. doi:10.1016/j.jpain.2014.11.002.
  • Hinkle DE, Wiersma W, Jurs SG. Applied statistics for the behavioral sciences. Boston (MA): Houghton Mifflin College Division; 2003.
  • Rosseel Y. Lavaan: an R package for structural equation modeling and more. Version 0.5–12 (BETA). J Stat Softw. 2012;48(2):1–36. doi:10.18637/jss.v048.i02.
  • R Core Team. R: a language and environment for statistical computing. Vienna (Austria): R Foundation for Statistical Computing; 2021. https://www.R-project.org/.
  • Preacher KJ. Advances in mediation analysis: a survey and synthesis of new developments. Annu Rev Psychol. 2015;66:825–52. doi:10.1146/annurev-psych-010814-015258.
  • VanderWeele TJ. Mediation analysis: a practitioner’s guide. Annu Rev Publ Health. 2016;37:17–32. doi:10.1146/annurev-publhealth-032315-021402.
  • Preacher KJ, Hayes AF. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav Res Methods Instrum Comput. 2004;36(4):717–31. doi:10.3758/BF03206553.
  • Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods. 2008;40(3):879–91. doi:10.3758/BRM.40.3.879.
  • Hayes AF. An index and test of linear moderated mediation. Multivariate Behav Res. 2015;50(1):1–22. doi:10.1080/00273171.2014.962683.
  • Preacher KJ, Rucker DD, Hayes AF. Addressing moderated mediation hypotheses: theory, methods, and prescriptions. Multivariate Behav Res. 2007;42(1):185–227. doi:10.1080/00273170701341316.
  • Yzerbyt V, Muller D, Batailler C, Judd CM. New recommendations for testing indirect effects in mediational models: the need to report and test component paths. J Pers Soc Psychol. 2018;115(6):929. doi:10.1037/pspa0000132.
  • Hayes AF. Partial, conditional, and moderated moderated mediation: quantification, inference, and interpretation. Commun Monogr. 2018;85(1):4–40. doi:10.1080/03637751.2017.1352100.
  • Semeru GM, Halim MS. Acceptance versus catastrophizing in predicting quality of life in patients with chronic low back pain. Korean J Pain. 2019;32(1):22. doi:10.3344/kjp.2019.32.1.22.
  • Shim E-J, Hahm B-J, Go DJ, Lee K-M, Noh HL, Park S-H, Song YW. Modeling quality of life in patients with rheumatic diseases: the role of pain catastrophizing, fear-avoidance beliefs, physical disability, and depression. Disabil Rehabil. 2018;40(13):1509–16. doi:10.1080/09638288.2017.1300691.
  • Gilliam WP, Schumann ME, Cunningham JL, Evans MM, Luedtke CA, Morrison EJ, Sperry JA, Vowles KE. Pain catastrophizing as a treatment process variable in cognitive behavioural therapy for adults with chronic pain. Eur J Pain. 2021;25(2):339–47. doi:10.1002/ejp.1671.
  • Burns JW, Kubilus A, Bruehl S, Harden RN, Lofland K. Do changes in cognitive factors influence outcome following multidisciplinary treatment for chronic pain? A cross-lagged panel analysis. J Consult Clin Psychol. 2003;71(1):81. doi:10.1037/0022-006X.71.1.81.
  • Quartana PJ, Campbell CM, Edwards RR. Pain catastrophizing: a critical review. Expert Rev Neurother. 2009;9(5):745–58. doi:10.1586/ern.09.34.
  • Hofmann SG, Curtiss J, Carpenter JK, Kind S. Effect of treatments for depression on quality of life: a meta-analysis. Cogn Behav Ther. 2017;46(4):265–86. doi:10.1080/16506073.2017.1304445.
  • Scott EL, Kroenke K, Wu J, Yu Z. Beneficial effects of improvement in depression, pain catastrophizing, and anxiety on pain outcomes: a 12-month longitudinal analysis. J Pain. 2016;17(2):215–22. doi:10.1016/j.jpain.2015.10.011.
  • Craner JR, Sperry JA, Evans MM. The relationship between pain catastrophizing and outcomes of a 3-week comprehensive pain rehabilitation program. Pain Med. 2016;17(11):2026–35. doi:10.1093/pm/pnw070.
  • Niknejad B, Bolier R, Henderson CR, Delgado D, Kozlov E, Löckenhoff CE, Reid MC. Association between psychological interventions and chronic pain outcomes in older adults: a systematic review and meta-analysis. JAMA Intern Med. 2018;178(6):830–39. doi:10.1001/jamainternmed.2018.0756.
  • Hoffman BM, Papas RK, Chatkoff DK, Kerns RD. Meta-analysis of psychological interventions for chronic low back pain. Health Psychol. 2007;26(1):1. doi:10.1037/0278-6133.26.1.1.
  • Veehof MM, Trompetter H, Bohlmeijer ET, Schreurs KMG. Acceptance-and mindfulness-based interventions for the treatment of chronic pain: a meta-analytic review. Cogn Behav Ther. 2016;45(1):5–31. doi:10.1080/16506073.2015.1098724.