Erratum to: Prevalence of sleep disturbance in patients with low back pain

Alsaadi, Saad M.; McAuley, James H.; Hush, Julia M.; Maher, Christopher G.

doi:10.1007/s00586-011-1954-8

Cited by 21 publications

(15 citation statements)

References 34 publications

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“…We, therefore, attempted to evaluate the discriminatory properties of the Roland item and the Epworth scale to detect insomnia in patients with LBP. The Roland item assesses sleep difficulty and is commonly employed by clinicians and researchers in the domain of LBP [30] and the Epworth scale is also a common measure that has been translated into 52 languages to assess individual’s day-time sleepiness [31]. …”

Section: Methodsmentioning

confidence: 99%

Detecting insomnia in patients with low back pain: accuracy of four self-report sleep measures

Alsaadi

McAuley

Hush

et al. 2013

BMC Musculoskelet Disord

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BackgroundAlthough insomnia is common in patients with low back pain (LBP), it is unknown whether commonly used self-report sleep measures are sufficiently accurate to screen for insomnia in the LBP population. This study investigated the discriminatory properties of the Pittsburgh Sleep Quality Index (Pittsburgh questionnaire), Insomnia Severity Index (Insomnia index), Epworth Sleepiness Scale (Epworth scale) and the sleep item of the Roland and Morris Disability Questionnaire (Roland item) to detect insomnia in patients with LBP by comparing their accuracy to detect insomnia to a sleep diary. The study also aimed to determine the clinical optimal cut-off scores of the questionnaires to detect insomnia in the LBP population.MethodsSeventy nine patients with LBP completed the four self-reported questionnaires and a sleep diary for 7 consecutive nights. The accuracy of the questionnaires was evaluated using Receiver Operator Characteristic (ROC) curves with the Area Under the Curve (AUC) used to examine each test’s accuracy to discriminate participants with insomnia from those without insomnia.ResultsThe Pittsburgh questionnaire and Insomnia index had moderate accuracy to detect insomnia (AUC = 0.79, 95% CI = 0.68 to 0.87 and AUC = 0.78, 95% CI = 0.67 to 0.86 respectively), whereas the Epworth scale and the Roland item were not found to be accurate discriminators (AUC = 0.53, 95% CI = 0. 41 to 0.64 and AUC = 0.64, 95% CI = 0.53 to 0.75 respectively). The cut-off score of > 6 for the Pittsburgh questionnaire and the cut-off point of > 14 for the Insomnia index provided optimal sensitivity and specificity for the detection of insomnia.ConclusionsThe Pittsburgh questionnaire and Insomnia index had similar ability to screen for insomnia in patients with low back pain.

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Section: Methodsmentioning

confidence: 99%

Detecting insomnia in patients with low back pain: accuracy of four self-report sleep measures

Alsaadi

McAuley

Hush

et al. 2013

BMC Musculoskelet Disord

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“…The second consists of studies that identify correlates and predictors of disturbed sleep, using sleepspecific constructs derived from the CBT-I model. These studies have found that patients with worse sleep problems report higher pain intensity (8,10,11,(13)(14)(15)(16)(17)(18)(19)22,23,(42)(43)(44) and disability (9,13,17,22,23), as well as greater presleep arousal (11,23,43) and more dysfunctional beliefs about sleep (9).…”

Section: Le Trouble Dépressif Majeur Et Les Troubles Du Sommeil Chez mentioning

confidence: 99%

Major Depressive Disorder and Sleep Disturbance in Patients with Chronic Pain

Emery

Wilson

Kowal

2014

Pain Research and Management

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“…Studies investigating the impact of sleep disturbance on the intensity of low back pain have shown a significant association between the quality of sleep and pain intensity, fatigue, subsequent‐day function, and psychological distress (). It has also been reported that persons with low back pain who have sleep problems and more severe pain () are at higher risk of being hospitalized for care of low back pain than those with good sleep quality (). These findings suggest that poor sleep quality may be associated with exacerbations of low back pain; however, to date, no direct association has been measured over the course of low back pain.…”

mentioning

confidence: 99%

Poor Sleep Quality Is Strongly Associated With Subsequent Pain Intensity in Patients With Acute Low Back Pain

Alsaadi

McAuley

Hush

et al. 2014

Arthritis & Rheumatology

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Objective. Recent research suggests that sleep quality and pain intensity are intimately linked. Although sleep problems are common in patients with low back pain, the effect of sleep quality on the levels of pain intensity is currently unknown. The aim of this study was to investigate the effect of sleep quality on subsequent pain intensity in patients with recent-onset low back pain.Methods. Data on 1,246 patients with acute low back pain were included in the analysis. Sleep quality was assessed using the sleep quality item of the Pittsburgh Sleep Quality Index, scored on a 0-3-point scale, where 0 ‫؍‬ very good sleep quality and 3 ‫؍‬ very bad sleep quality. Pain intensity was assessed on a numerical rating scale (range 0-10). A generalized estimating equation (GEE) analysis modeled with an exchangeable correlation structure was used to examine the relationship between sleep quality and pain intensity. The model further controlled for symptoms of depression and prognostic factors for low back pain.Results. The GEE analysis demonstrated a large effect of poor sleep on subsequent pain intensity, such that for every 1-point decrease in sleep quality (based on a 0-3-point scale), pain intensity (based on a 0-10-point scale) increased by 2.08 points (95% confidence interval 1.99؊2.16). This effect was independent of depression and common prognostic factors for low back pain.Conclusion. Sleep quality is strongly related to subsequent pain intensity in patients with acute low back pain. Future research is needed to determine whether targeting sleep improvement contributes to pain reduction.

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Erratum to: Prevalence of sleep disturbance in patients with low back pain

Cited by 21 publications

References 34 publications

Detecting insomnia in patients with low back pain: accuracy of four self-report sleep measures

Detecting insomnia in patients with low back pain: accuracy of four self-report sleep measures

Major Depressive Disorder and Sleep Disturbance in Patients with Chronic Pain

Poor Sleep Quality Is Strongly Associated With Subsequent Pain Intensity in Patients With Acute Low Back Pain

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