Insomnia Symptoms and Chronic Pain among Patients Participating in a Pain Rehabilitation Program-A Registry Study

Acupuncture for patients with insomnia and predictors of treatment response: a chart review

BACKGROUND

Acupuncture is a potentially effective non-pharmacological treatment for insomnia.

OBJECTIVE

We observed the responses of patients with insomnia to acupuncture in routine clinical practice. In addition, we explored patient characteristics that might affect the treatment response to acupuncture for insomnia.

METHODS

Medical records of patients with insomnia in a Korean medicine clinic with baseline Insomnia Severity Index (ISI) scores ⩾8 and Pittsburgh Sleep Quality Index (PSQI) scores ⩾5 were reviewed. Acupuncture was applied at ST43, GB41, ST41, SI5, HT3, KI10, HT7 and ST3, for 1-2 months. The ISI and PSQI were measured monthly to assess insomnia severity. The effect of acupuncture over time was analyzed using a multilevel linear model for repeated measures. In addition, logistic regression was used to explore predictors of treatment response.

RESULTS

A total of 91 patients with insomnia aged 59.2 ± 12.5 years (mean ± standard deviation (SD)) (90.1% female) were included in the analysis. After the acupuncture treatment, ISI scores were significantly reduced by -3.75 (95% confidence interval (CI) = -4.99, -2.50) and -4.69 (95% CI = -6.22, -3.16) after the first and second month, respectively. The PSQI global scores also improved, and sleep duration showed a tendency to increase by 0.35 h (95% CI = -0.17, 0.86) after acupuncture treatment. Three cases of mild fatigue were reported. In addition, higher baseline pain/discomfort predicted a greater likelihood of response after acupuncture treatment (odds ratio (OR) = 1.66, 95% CI = 1.10, 2.60).

CONCLUSION

In a real-world setting, the insomnia of outpatients in a clinic was slightly alleviated after acupuncture treatment. These findings require validation by randomized controlled trials.

Catastrophizing and acceptance are mediators between insomnia and pain intensity-an SQRP study of more than 6,400 patients with non-malignant chronic pain conditions

Background

Sleep problems (insomnia) and chronic pain are associated. Chronic pain and insomnia/insufficient sleep quality share similar symptoms and features. Although they have a bidirectional relationship, more research is needed to understand how they interact via mediators and how moderators influence this relationship.

Aims

In this large clinical registry-based cohort study (N = 6,497), we investigate important mediators between insomnia and pain intensity in a cross-sectional sample of chronic pain patients using advanced path analysis. In addition, we investigate whether some background variables were moderators of the identified important paths or not and the correlation patterns between insomnia and pain intensity in relation to the mediators.

Methods

This study includes a cohort of adult patients with chronic non-cancer pain from the Swedish Quality Registry for Pain Rehabilitation (SQRP) with data on patient-reported outcome measures (PROMs) (2008-2016). The PROMs cover the background, pain aspects, psychological distress, pain-related cognitions, activity/participation, and health-related quality of life variables of the patients. Partial least squares structural equation modeling was used to explore the direct and indirect (via mediators) relationships between insomnia and pain intensity at baseline.

Results

In this cohort study, insomnia was prevalent at 62.3%, and both direct and indirect mediating paths were present for the insomnia-pain intensity relationship. All of the mediating effects combined were weaker than the direct effect between insomnia and pain intensity. The mediating effects via catastrophizing and acceptance showed the strongest and equal mediating paths, and mediating effects via fear avoidance were the second strongest. Insomnia showed stronger direct significant correlations with psychological distress, catastrophizing, and acceptance compared with those of pain intensity. Sex, age, education level, spatial extent of pain, or body mass index did not moderate the mediating paths.

Discussion and conclusion

This study confirms the existence of significant direct and mediating paths between reported insomnia and pain intensity. Future studies should focus on illuminating how sleep interventions influence pain intensity and other important key factors that contribute to the distress of chronic pain patients.