DOSage of Exercise for chronic low back pain disorders (DOSE): protocol for a systematic review with dose-response network meta-analysis.

Back injuries Evidence based review Exercise rehabilitation Meta-analysis Physical activity

Journal

BMJ open sport & exercise medicine
ISSN: 2055-7647
Titre abrégé: BMJ Open Sport Exerc Med
Pays: England
ID NLM: 101681007

Informations de publication

Date de publication:
2024
Historique:
accepted: 05 07 2024
medline: 20 8 2024
pubmed: 20 8 2024
entrez: 20 8 2024
Statut: epublish

Résumé

Chronic low back disorders are the leading cause of direct and indirect healthcare burden globally. Exercise training improves pain intensity, mental health and physical function. However, the optimal prescription variables are unknown. We aim to compare the efficacy of various exercise dosages for chronic low back disorders to identify the optimal prescription variables. Six databases (Medline, SPORTDiscus, CINAHL, PsycINFO, EMBASE and CENTRAL), trial registries (ClinicalTrials.gov and WHO International Clinical Trials Registry Platform) and reference lists of prior systematic reviews will be searched, and we will conduct forward and backward citation tracking. We will include peer-reviewed randomised controlled trials (individual, cluster or cross-over trials) published in English or German language comparing exercise training to other exercise training or non-exercise training interventions (conservative, non-surgical, non-pharmacological, non-invasive treatments, placebo, sham, usual/standard care, no-treatment control, waitlist control) in adults with chronic low back disorders. Outcomes will include pain intensity, disability, mental health, adverse events, adherence rate, dropout rate and work capacity. Version 2 of the Cochrane risk-of-bias tool will be employed. The dose will be categorised as cumulative dose (total and weekly minutes of exercise training) and individual dose prescription variables (intervention duration, session duration, frequency and intensity). Dose-response model-based network meta-analysis will be used to assess the comparative efficacy of different exercise doses to determine a dose-response relationship. The certainty of evidence will be assessed using the Grading of Recommendations Assessment, Development and Evaluation. Information about optimal exercise training dosage will help in enhancing treatment outcomes.

Identifiants

pubmed: 39161554
doi: 10.1136/bmjsem-2024-002108
pii: bmjsem-2024-002108
pmc: PMC11331831
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e002108

Informations de copyright

Copyright © Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

None declared.

Auteurs

Nitin Kumar Arora (NK)

Hochschule für Gesundheit, Department of Applied Health Sciences, Division of Physiotherapy, University of Applied Sciences, Bochum, Germany.
Department of Intervention Research in Exercise Training, German Sport University Cologne, Koln, Germany.

Lars Donath (L)

Department of Intervention Research in Exercise Training, German Sport University Cologne, Koln, Germany.

Patrick J Owen (PJ)

Eastern Health Emergency Medicine Program, Melbourne, Victoria, Australia.
Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia.

Clint T Miller (CT)

Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia.

Svenja Kaczorowski (S)

Hochschule für Gesundheit, Department of Applied Health Sciences, Division of Physiotherapy, University of Applied Sciences, Bochum, Germany.
Department of Intervention Research in Exercise Training, German Sport University Cologne, Koln, Germany.

Tobias Saueressig (T)

Physio Meets Science GmbH, Leimen, Germany.

Hugo Pedder (H)

Population Health Sciences, University of Bristol, Bristol, UK.

Niamh L Mundell (NL)

Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia.

Scott D Tagliaferri (SD)

Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia.
Orygen Ltd, Parkville, Victoria, Australia.

Ashish Diwan (A)

St. George Hospital, Department of Orthopaedic Surgery, Spine Service, University of New South Wales, Sydney, New South Wales, Australia.

Xiaolong Chen (X)

St. George Hospital, Department of Orthopaedic Surgery, Spine Service, University of New South Wales, Sydney, New South Wales, Australia.

Xiaohui Zhao (X)

Xi'an University of Architecture & Technology, Beilin, China.

Eva-Maria Huessler (EM)

Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Essen, Germany.

Katja Ehrenbrusthoff (K)

Hochschule für Gesundheit, Department of Applied Health Sciences, Division of Physiotherapy, University of Applied Sciences, Bochum, Germany.

Jon J Ford (JJ)

Discipline of Physiotherapy, School of Allied Health, Human Services & Sport, La Trobe University, Bundoora, Victoria, Australia.
Advance Healthcare, Victoria, Victoria, Australia.

Andrew J Hahne (AJ)

Discipline of Physiotherapy, School of Allied Health, Human Services & Sport, La Trobe University, Bundoora, Victoria, Australia.

Ludwig Hammel (L)

Deutsche Vereinigung Morbus Bechterew e.V. (DVMB), 97421 Schweinfurt, Germany.

Heike Norda (H)

UVSD SchmerzLOS e.V. (Unabhängige Vereinigung aktiver Schmerzpatienten in Deutschland), 24534 Neumünster, Germany.

Daniel L Belavy (DL)

Hochschule für Gesundheit, Department of Applied Health Sciences, Division of Physiotherapy, University of Applied Sciences, Bochum, Germany.

Classifications MeSH