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.
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.
Authors: Matthew J Erlendson; Nicole D'Arcy; Ellen M Encisco; Jeffrey J Yu; Lorena Rincon-Cruz; Gary Peltz; J David Clark; Larry F Chu Journal: Am J Drug Alcohol Abuse Date: 2016-08-11 Impact factor: 3.829
Authors: Leticia Amaral Corrêa; Stephanie Mathieson; Ney Armando de Mello Meziat-Filho; Felipe José Reis; Arthur de Sá Ferreira; Leandro Alberto Calazans Nogueira Journal: Braz J Phys Ther Date: 2022-04-12 Impact factor: 4.762
Authors: Adrian C Traeger; Nicholas Henschke; Markus Hübscher; Christopher M Williams; Steven J Kamper; Christopher G Maher; G Lorimer Moseley; James H McAuley Journal: PLoS Med Date: 2016-05-17 Impact factor: 11.069