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Silva S, Hayden JA, Mendes G, Verhagen AP, Pinto RZ, Silva A. Sleep as a prognostic factor in low back pain: a systematic review of prospective cohort studies and secondary analyses of randomized controlled trials. Sleep 2024; 47:zsae023. [PMID: 38300526 DOI: 10.1093/sleep/zsae023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 12/12/2023] [Indexed: 02/02/2024] Open
Abstract
Sleep problems are common in individuals with low back pain (LBP) and sleep restriction seems to be associated with impaired pain processing. Our objective was to investigate whether sleep is associated with future LBP outcomes (i.e. pain intensity, disability, and recovery) in adults. We conducted a systematic review of prospective cohort studies and secondary analyses of randomized controlled trials (registration-PROSPERO CRD42022370781). In December 2022, we searched the MEDLINE, Embase, CINAHL, and PsycINFO databases. Fourteen studies, totaling 19 170 participants were included. Thirteen studies were rated as having high risk of bias (QUIPS tool). We used vote-counting and meta-analysis approaches to synthesize the data. We found associations between baseline sleep with future pain intensity, recovery, and between changes in sleep with changes in pain intensity, changes in disability, and recovery. We further synthesized outcomes as "overall LBP improvement" outcomes. Baseline poor sleep was moderately associated with non-improvement in LBP in the long-very long term (OR 1.55, 95% CI: 1.39 to 1.73; three studies providing unadjusted effect sizes), and non-improvement in sleep was largely associated with non-improvement in LBP in the short-moderate term (OR 3.45, 95% CI: 2.54 to 4.69; four studies providing unadjusted effect sizes). We found no association between baseline sleep with future disability and overall LBP improvement in the short-moderate term. Therefore, sleep may be a prognostic factor for pain intensity and recovery from LBP. All findings were supported by low to very low-quality evidence. Better-conducted studies are needed to strengthen our certainty about the evidence.
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Affiliation(s)
- Samuel Silva
- School of Physical Education, Physical Therapy, and Occupational Therapy, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada
| | - Jill A Hayden
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada
| | - Gabriel Mendes
- School of Physical Education, Physical Therapy, and Occupational Therapy, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Arianne P Verhagen
- Graduate School of Health, University of Technology Sydney, Sydney, NSW, Australia
| | - Rafael Z Pinto
- School of Physical Education, Physical Therapy, and Occupational Therapy, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
- School of Health Sciences, University of New South Wales, Sydney, NSW, Australia
- Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, NSW, Australia
| | - Andressa Silva
- School of Physical Education, Physical Therapy, and Occupational Therapy, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
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Chang JR, Cheung YK, Sharma S, Li SX, Tao RR, Lee JLC, Sun ER, Pinto SM, Zhou Z, Fong H, Chan WW, Zheng K, Samartzis D, Fu SN, Wong AY. Comparative effectiveness of non-pharmacological interventions on sleep in individuals with chronic musculoskeletal pain: A systematic review with network meta-analysis. Sleep Med Rev 2024; 73:101867. [PMID: 37897843 DOI: 10.1016/j.smrv.2023.101867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 09/22/2023] [Accepted: 09/26/2023] [Indexed: 10/30/2023]
Abstract
This network meta-analysis aimed to estimate the comparative effectiveness of non-pharmacological interventions on sleep in individuals with chronic musculoskeletal pain. Seven databases were systematically searched up to February 2023. A random-effects network meta-analysis in a frequentist framework was performed to synthesize continuous data as standardized mean differences (SMD) along with a 95% confidence interval (95% CI). A total of 15,641 records were identified, and 107 randomized controlled trials involving 8,121 participants were included. Of 14 identified interventions, eight were significantly more effective than passive control in improving sleep quality at immediate post-intervention (SMDs = 0.67-0.74), with cognitive behavioral therapy (CBT) being the most effective treatment (SMD = 0.74, 95% CI: 0.45-1.03). Only CBT demonstrated sustained effects at short-term (SMD = 1.56; 95% CI: 0.62-2.49) and mid-term (SMD = 1.23; 95% CI: 0.44-2.03) follow-ups. Furthermore, CBT significantly improved subjective (SMD = 0.64; 95% CI: 0.25-1.03) and objective (SMD = 0.30; 95% CI: 0.01-0.59) sleep efficiency compared with passive control at immediate post-intervention. Our findings support CBT as the first-line treatment for improving sleep in individuals with chronic musculoskeletal pain, given its superior effectiveness across multiple sleep outcomes and its sustainable effects until mid-term follow-up. However, the certainty of evidence for these interventions in improving sleep quality was very low to low.
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Affiliation(s)
- Jeremy R Chang
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Yuen Kwan Cheung
- Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Saurab Sharma
- School of Health Sciences, Faculty of Medicine and Health, University of New South Wales, Australia; Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, Australia
| | - Shirley X Li
- Sleep Research Clinic and Laboratory, Department of Psychology, The University of Hong Kong, Hong Kong SAR, China; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, China
| | - Rae Ry Tao
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Janet Lok Chun Lee
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Eliza R Sun
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Sabina M Pinto
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Zhixing Zhou
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Howard Fong
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Winnie Wy Chan
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Kangyong Zheng
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Dino Samartzis
- Department of Orthopedic Surgery, Rush University Medical Centre, Chicago, United States
| | - Siu-Ngor Fu
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Arnold Yl Wong
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.
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Shah S, Kondapalli K, Rasheed N, Chu XP. Commentary: P2X7 receptor modulation is a viable therapeutic target for neurogenic pain with concurrent sleep disorders. Front Neurosci 2023; 17:1293174. [PMID: 38099200 PMCID: PMC10720246 DOI: 10.3389/fnins.2023.1293174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 11/15/2023] [Indexed: 12/17/2023] Open
Affiliation(s)
| | | | | | - Xiang-Ping Chu
- Department of Biomedical Sciences, University of Missouri–Kansas City School of Medicine, Kansas, MO, United States
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Matheve T, Hodges P, Danneels L. The Role of Back Muscle Dysfunctions in Chronic Low Back Pain: State-of-the-Art and Clinical Implications. J Clin Med 2023; 12:5510. [PMID: 37685576 PMCID: PMC10487902 DOI: 10.3390/jcm12175510] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/21/2023] [Accepted: 08/23/2023] [Indexed: 09/10/2023] Open
Abstract
Changes in back muscle function and structure are highly prevalent in patients with chronic low back pain (CLBP). Since large heterogeneity in clinical presentation and back muscle dysfunctions exists within this population, the potential role of back muscle dysfunctions in the persistence of low back pain differs between individuals. Consequently, interventions should be tailored to the individual patient and be based on a thorough clinical examination taking into account the multidimensional nature of CLBP. Considering the complexity of this process, we will provide a state-of-the-art update on back muscle dysfunctions in patients with CLBP and their implications for treatment. To this end, we will first give an overview of (1) dysfunctions in back muscle structure and function, (2) the potential of exercise therapy to address these dysfunctions, and (3) the relationship between changes in back muscle dysfunctions and clinical parameters. In a second part, we will describe a framework for an individualised approach for back muscle training in patients with CLBP.
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Affiliation(s)
- Thomas Matheve
- Spine, Head and Pain Research Unit Ghent, Department of Rehabilitation Sciences, Ghent University, 9000 Gent, Belgium;
- REVAL—Rehabilitation Research Center, Faculty of Rehabilitation Sciences, UHasselt, 3500 Diepenbeek, Belgium
| | - Paul Hodges
- NHMRC—Centre of Clinical Research Excellence in Spinal Pain, Injury & Health, School of Health & Rehabilitation Sciences, The University of Queensland, Brisbane 4072, Australia;
| | - Lieven Danneels
- Spine, Head and Pain Research Unit Ghent, Department of Rehabilitation Sciences, Ghent University, 9000 Gent, Belgium;
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