Cognitive behavioural therapy in pain and psychological disorders : towards a hybrid future

Cognitive Behavioural Therapy (CBT) is a form of evidence-based talking therapy that emphasises the importance of behaviour and conscious thoughts in shaping our emotional experiences. As pain becomes increasingly accepted as not only a sensory but also an emotional experience, success in using CBT to treat emotional disorders has resulted in the incorporation of cognitive-behavioural principles into the management of chronic pain. Outcomes of CBT-informed interdisciplinary pain management programmes are modest at best, despite rapid methodological improvements in trial design and implementation. Whilst the field searches for new treatment directions, a hybrid CBT approach that seeks to simultaneously tackle pain and its comorbidities shows promise in optimising treatment effectiveness and flexibility. This article provides a brief description of the core characteristics of CBT and the transformation this therapeutic model has brought to our understanding and management of chronic pain. Current evidence on efficacy of CBT for chronic pain is then reviewed, followed by a critical consideration of the advantages and disadvantages of the new hybrid treatment approach that conceptualises and treats chronic pain in connection with its comorbidities. Recent progress made in the area of pain and insomnia is highlighted as an example to project therapeutic innovations in the near future

Mental defeat is associated with suicide intent in patients with chronic pain

Objective: Mental defeat has been implicated in precipitating suicide with effects not explained by depression. It has also been found to be elevated in people who are most distressed and disabled by chronic pain. This study examined the role of mental defeat in predicting suicide intent among chronic pain patients and compared the predictive value of mental defeat with other established pain and psychological constructs. Methods: Sixty-two chronic pain patients attended a semi-structured interview to assess pain characteristics and suicidality (present and worst-ever) and completed self-report measures of anxiety, depression, hopelessness, self-efficacy, pain catastrophising and mental defeat. Results: A total of 22.6% of people reported a history of suicide attempt (1 attempt=12.9%;≥2 attempts=9.7%). The wish to die was reportedly moderate to strong for 63.3% of those who attempted suicide. No significant correlations were found for hopelessness and self-efficacy with suicide intent in this sample. Hierarchical regression analyses suggested that pain intensity was a significant predictor of worst-ever suicidal intent (R=0.11), and mental defeat significantly improved the prediction even when the effect of pain intensity was accounted for (RΔ=0.12). Anxiety, depression and pain catastrophising were significant correlates of suicide intent, but they did not add to the prediction of worst-ever suicide intent after the effect of pain intensity was controlled for. Discussion: Mental defeat may be a key indicator for heightened suicide risk. Therapeutic interventions targeting mental defeat offer a novel avenue for reducing suicide risk in chronic pain patients

What sways people's judgment of sleep quality? A quantitative choice-making study with good and poor sleepers

Study objectives: We conceptualized sleep quality judgment as a decision-making process and examined the relative importance of 17 parameters of sleep quality using a choice-based conjoint analysis. Methods: One hundred participants (50 good sleepers; 50 poor sleepers) were asked to choose between 2 written scenarios to answer 1 of 2 questions: “Which describes a better (or worse) night of sleep?”. Each scenario described a self-reported experience of sleep, stringing together 17 possible determinants of sleep quality that occur at different times of the day (day before, pre-sleep, during sleep, upon waking, day after). Each participant answered 48 questions. Logistic regression models were fit to their choice data. Results: Eleven of the 17 sleep quality parameters had a significant impact on the participants’ choices. The top 3 determinants of sleep quality were: Total sleep time, feeling refreshed (upon waking), and mood (day after). Sleep quality judgments were most influenced by factors that occur during sleep, followed by feelings and activities upon waking and the day after. There was a significant interaction between wake after sleep onset and feeling refreshed (upon waking) and between feeling refreshed (upon waking) and question type (better or worse night of sleep). Type of sleeper (good vs poor sleepers) did not significantly influence the judgments. Conclusions: Sleep quality judgments appear to be determined by not only what happened during sleep, but also what happened after the sleep period. Interventions that improve mood and functioning during the day may inadvertently also improve people’s self-reported evaluation of sleep quality

Do people with chronic pain judge their sleep differently? A qualitative study

People with chronic pain often report sleep of “poor quality”. However, it is unclear what defines sleep quality and whether their sleep quality judgment is influenced by factors other than sleep. We purposively interviewed 17 participants with and without chronic pain and thematically analyzed their interview transcripts. Four salient criteria for judging sleep quality were: (i) Memories of night-time sleep disruptions, (ii) Feelings on waking and cognitive functioning during the day, (iii) Ability to engage in daytime physical and social activity, and (iv) Changes in physical symptoms (and pain intensity among participants with chronic pain). Sleep quality judgment is complex and involves retrospective decision-making influenced by not only memories of the night but also how we feel and what we do during the day

Effects of sleep changes on pain-related health outcomes in the general population : a systematic review of longitudinal studies with exploratory meta-analysis

Emerging longitudinal research has highlighted poor sleep as a risk factor of a range of adverse health outcomes, including disabling pain conditions. In establishing the causal role of sleep in pain, it remains to be clarified whether sleep deterioration over time is a driver of pain and whether sleep improvement can mitigate pain-related outcomes. A systematic literature search was performed using PubMed MEDLINE, Ovid EMBASE, and Proquest PsycINFO, to identify 16 longitudinal studies involving 61,000 participants. The studies evaluated the effect of sleep changes (simulating sleep deterioration, sleep stability, and sleep improvement) on subsequent pain-related outcomes in the general population. A decline in sleep quality and sleep quantity was associated with a two- to three-fold increase in risk of developing a pain condition, small elevations in levels of inflammatory markers, and a decline in self-reported physical health status. An exploratory meta-analysis further revealed that deterioration in sleep was associated with worse self-reported physical functioning (medium effect size), whilst improvement in sleep was associated with better physical functioning (small effect size). The review consolidates evidence that changes in sleep are prospectively associated with pain-related outcomes and highlights the need for further longitudinal investigations on the long-term impact of sleep improvements

Changes in sleep duration, quality, and medication use are prospectively associated with health and well-being : analysis of the UK Household Longitudinal Study

Introduction: Sleep is a plausible target for public health promotion. We examined the association of changes in sleep with subsequent health and well-being in the general population. Aims and Methods: We analyzed data from the UK Household Longitudinal Survey, involving 30594 people (aged > 16) who provided data on sleep and health and well-being at both Wave 1 (2009–2011) and Wave 4 (2012–2014) assessments. Predicting variables were changes in sleep quantity, sleep quality, and sleep medication use over the 4-year period. Outcome variables were the General Health Questionnaire (GHQ-12) and the 12-Item Short-Form Health Survey (SF-12) mental (MCS) and physical (PCS) component scores at Wave 4. Linear regression on each outcome was fully adjusted for potential confounders and baseline values of the relevant predicting and outcome variables. Results: Better outcomes were associated with an increase in sleep duration (GHQ: β = 1.031 [95% confidence interval {CI}: −1.328, −0.734]; MCS: 1.531 [1.006, 2.055]; PCS: −0.071 [−0.419, 0.56]), sleep quality (GHQ: β = −2.031 [95% CI: −2.218, −1.844]; MCS: 3.027 [2.692, 3.361]; PCS: 0.924 [0.604, 1.245]), and a reduction in sleep medication use (GHQ: β = −1.929 [95% CI: −2.400, −1.459]; MCS: 3.106 [2.279, 3.933]; PCS: 2.633 [1.860, 3.406]). Poorer outcomes were on the other hand associated with a reduction in sleep duration, a decrease in sleep quality, and an increase in sleep medication use. Changes in sleep quality yielded the largest effects on the health and well-being outcomes. Conclusions: Changes in sleep were temporally associated with subsequent health and well-being. Initiatives that aim to protect a critical amount of sleep, promote sleep quality, and reduce sleep medication use may have public health values

Sleep problems in childhood and borderline personality disorder symptoms in early adolescence

Sleep disorders, such as insomnia and nightmares, are commonly associated with Borderline Personality Disorder (BPD) in adulthood. Whether nightmares and sleep-onset and maintenance problems predate BPD symptoms earlier in development is unknown. We addressed this gap in the literature using data from the Avon Longitudinal Study of Parents and Children (ALSPAC). Participants included 6,050 adolescents (51.4% female) who completed the UK Childhood Interview for DSM-IV BPD at 11 to 12 years of age. Nightmares and sleep onset and maintenance problems were prospectively assessed via mother report when children were 2.5, 3.5, 4.8 and 6.8 years of age. Psychopathological (i.e., emotional temperament; psychiatric diagnoses; and emotional and behavioural problems) and psychosocial (i.e., abuse, maladaptive parenting, and family adversity) confounders were assessed via mother report. In logistic regressions, persistent nightmares (i.e., regular nightmares at three or more time-points) were significantly associated with BPD symptoms following adjustment for sleep onset and maintenance problems and all confounders (Adjusted Odds Ratio=1.67; 95% Confidence Interval=1.18, 2.38). Persistent sleep onset and maintenance problems were not significantly associated with BPD symptoms. In path analysis controlling for all associations between confounders, persistent nightmares independently predicted BPD symptoms (Probit co-efficient [β] = 0.08, p = 0.013). Emotional and behavioural problems significantly mediated the association between nightmares and BPD (β =0.016, p<0.001), while nightmares significantly mediated associations between emotional temperament (β=0.001, p=0.018), abuse (β=0.015, p=0.018), maladaptive parenting (β=0.002, p=0.021) and subsequent BPD. These findings tentatively support that childhood nightmares may potentially increase the risk of BPD symptoms in early adolescence via a number of aetiological pathways. If replicated, the current findings could have important implications for early intervention, and assist clinicians in the identification of children at risk of developing BPD

The management of chronic pain : re-centring person-centred care

The drive for a more person-centred approach in the broader field of clinical medicine is also gaining traction in chronic pain treatment. Despite current advances, a further departure from ‘business as usual’ is required to ensure that the care offered or received is not only effective but also considers personal values, goals, abilities, and day-to-day realities. Existing work typically focuses on explaining pain symptoms and the development of standardised interventions, at the risk of overlooking the broader consequences of pain in individuals’ lives and individual differences in pain responses. This review underscores the importance of considering additional factors, such as the influence of chronic pain on an individual’s sense of self. It explores innovative approaches to chronic pain management that have the potential to optimise effectiveness and offer person-centred care. Furthermore, it delves into research applying hybrid and individual formulations, along with self-monitoring technologies, to enhance pain assessment and the tailoring of management strategies. In conclusion, this review advocates for chronic pain management approaches that align with an individual’s priorities and realities while fostering their active involvement in self-monitoring and self-management

Development of the pain-related beliefs and attitudes about sleep (PBAS) scale for the assessment and treatment of insomnia comorbid with chronic pain

Study Objectives Dysfunctional beliefs and attitudes about sleep is a cognitive-behavioral factor central to the development and perpetuation of insomnia. Previous works to unravel the complex interrelationship between pain and insomnia have not explored the role of inflexible beliefs about the sleep-pain interaction, possibly due to a lack of a valid instrument for doing so. The current study evaluated the psychometric and functional properties of a 10-item Pain-Related Beliefs and Attitudes about Sleep (PBAS) scale. Methods The PBAS scale was administered to four clinical samples of chronic pain patients with comorbid insomnia: to examine the scale’s psychometric properties (n=137), test-retest reliability (n=26), sensitivity to treatment (n=20), and generalizability (n=62). All participants completed the PBAS together with validated measures of pain interference, insomnia severity, and cognitive-behavioral processes hypothesized to underpin insomnia. Results The PBAS scale was found to be reliable, with adequate internal consistency and temporal stability. Factor analysis suggested a 2-factor solution representing beliefs about “pain as the primary cause of insomnia” and the “inevitable consequences of insomnia on pain and coping”. The PBAS total score was positively correlated with scores from the Insomnia Severity Index (ISI) scale, Dysfunctional Beliefs and Attitudes about Sleep (DBAS) scale, and the Anxiety and Preoccupation about Sleep Questionnaire (APSQ). It was a significant predictor of insomnia severity and pain interference. A significant reduction in PBAS was also observed in patients after receiving a hybrid cognitive-behavioral intervention for both pain and insomnia. Conclusions Pain-related sleep beliefs appear to be an integral part of chronic pain patients’ insomnia experience. The PBAS is a valid and reliable instrument for evaluating the role of these beliefs in chronic pain patients

Cognitive-behavioural pathways from pain to poor sleep quality and emotional distress in the general population : the indirect effect of sleep-related anxiety and sleep hygiene

Objectives Pain can have a negative impact on sleep and emotional well-being. This study investigated whether this may be partly explained by maladaptive sleep-related cognitive and behavioural responses to pain, including heightened anxiety about sleep and suboptimal sleep hygiene. Methods This cross-sectional study used data from an online survey that collected information about pain (Brief Pain Inventory), sleep (Pittsburgh Sleep Quality Index; Sleep Hygiene Index; Anxiety and Preoccupation about Sleep Questionnaire) and emotional distress (PROMIS measures; Perceived Stress Scale). Structural equation modelling examined the tenability of a framework linking these factors. Results Of 468 survey respondents (mean age 39 years, 60% female), 29% reported pain (mean severity 1.12), most commonly in the spine or low back (28%). Pain severity correlated with poor sleep quality, poor sleep hygiene, anxiety about sleep and emotional distress. In the first structural equation model, indirect effects were identified between pain severity and sleep quality through anxiety about sleep (β = .08, p < .001) and sleep hygiene (β = .12, p < .001). In the second model, an indirect effect was identified between pain severity and emotional distress through sleep quality (β = .19, p < .01). Combining these models, indirect effects were identified between pain severity and emotional distress through anxiety about sleep, sleep hygiene and sleep quality. Conclusions This study provides data to support the tenability of a theoretically guided framework linking pain, sleep and emotional distress. If upheld by experimental and/or longitudinal study, this framework holds the potential to inform public health initiatives and more comprehensive pain assessment