Insomnia in Chronic Disabling Musculoskeletal Pain Disorders is Independent of Pain and Depression

Sali Asih, M.S
The Spine Journal
Available online 10 December 2013 In Press

Abstract
Background Context
Insomnia is frequently experienced by patients suffering from chronic musculoskeletal disorders, but is often seen as simply a symptom of pain or depression, and not as an independent disorder. Compared to those who experience only chronic pain, patients with both chronic pain and insomnia report higher pain intensity, more depressive symptoms, and greater distress. However, insomnia has not yet been systematically studied in a chronic musculoskeletal pain with disability population.

Purposes
This study assessed the prevalence and severity of patient-reported insomnia, as well as the relationship among insomnia, pain intensity, and depressive symptoms, in a chronic musculoskeletal pain with disability population.

Study Design/Setting
A retrospective study of prospectively captured data.

Patient Sample
A consecutive cohort of 326 chronic musculoskeletal pain with disability patients (85% with spinal injuries) entered a functional restoration treatment program. All patients signed a consent form to participate in this protocol.

Outcome Measures
Insomnia was assessed with the Insomnia Severity Index (ISI), a validated patient-report measure of insomnia symptoms. Four patient groups were formed: No Clinically Significant Insomnia (score 0-7); Sub-Threshold Insomnia (score 8-14); Moderate Clinical Insomnia (score 15-21); and Severe Clinical Insomnia (score 22-28). Three patterns of sleep disturbance were also evaluated: Early, Middle, and Late Insomnia. Additional validated psychosocial patient-report data were collected, including the Pain Visual Analog Scale (PVAS), the Beck Depression Inventory (BDI), and the Pain Disability Questionnaire (PDQ).

Methods
Patients completed a standard psychosocial assessment battery upon admission to the functional restoration program. The program included a quantitatively-directed exercise process in conjunction with a multimodal disability management approach. The four insomnia groups were compared on demographic and psychosocial variables. The shared variances among insomnia, depression, and pain were determined by partial correlational analyses. The writing of this article was supported in part by Grant 1K05 MH 71892 from NIH, focusing on evidence-based assessment and treatment approaches to musculoskeletal pain and the monitoring of valid outcomes. None of the authors involved in this study had a conflict of interest.

Results
The presence of No Clinically Significant Insomnia, Sub-threshold Insomnia, Moderate Clinical Insomnia and Severe Clinical Insomnia was found in 5.5%, 21.2%, 39.6%, and 33.7% of the cohort, respectively. More than 70% of patients reported moderate to severe insomnia symptoms, which is a considerably higher prevalence than found in most patient cohorts studied previously. A step-wise pattern was found, in which Severe Clinical Insomnia patients reported the highest pain, the most severe depressive symptoms, and the greatest disability. The Severe Clinical Insomnia patients also reported a higher number of sleep disturbance types (Early, Middle, and Late insomnia) than the other 3 groups. In fact, 62.9% of them reported all 3 disturbance types. Although correlations were found between insomnia and depressive symptoms, and between insomnia and pain, the shared variances were small (12.9% and 3.6%, respectively), indicating that depression and pain are separate constructs from insomnia.

Conclusion
This research indicates that insomnia is a significant and pervasive problem in a chronic musculoskeletal pain with disability population. Most importantly, although insomnia has traditionally been assumed to be simply a symptom of pain or depression, the findings of the present study reveal that it is a construct relatively independent from both pain and depression. Specific insomnia assessment and treatment is therefore recommended for this chronic musculoskeletal pain with disability population.

Journal Reference:  http://www.sciencedirect.com/science/article/pii/S1529943013019670

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