Back to Search Start Over

Exploring Factors Associated with Changes in Pain and Function Following mHealth-Based Exercise Therapy for Chronic Musculoskeletal Pain: A Systematic Review with Meta-Analysis and Meta-Regression

Authors :
Pablo Rodríguez-Sánchez-Laulhé
Alberto Marcos Heredia-Rizo
Jesús Salas-González
Fernando Piña-Pozo
Lourdes María Fernández-Seguín
Cristina García-Muñoz
Source :
Applied Sciences, Vol 14, Iss 15, p 6632 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Exercise therapy is the first-line intervention recommended for those with chronic musculoskeletal pain (CMP). Smartphone technologies (mHealth) represent a feasible means for exercise prescription and individualization. This systematic review with meta-analysis aimed to identify factors associated with changes in pain and function following mHealth-based exercise therapy in patients with CMP. CINAHL (via EBSCOhost), Embase, PubMed, Scopus, and SPORTdiscus were searched from inception to February 2023. Observational and controlled clinical trials with correlation or regression analysis of factors associated with the effect of mHealth exercise interventions on pain and function were included. The risk of bias, completeness of interventions, spin of information, and certainty in the evidence were evaluated. Eight studies with 51,755 participants were included. Reduced pain intensity after intervention was associated with higher physical function: r (95% CI) = −0.55 (−0.67 to −0.41); I2 = 86%, Tau2 = 0.02; p < 0.01. Meta-regression identified the Body Mass Index (BMI), exercise dose, and completion rate as potential moderators between changes in pain and physical function following mHealth exercise therapy. No association was found between pain and anxiety: r (95% CI) = 0.15 (−0.08 to 0.37); I2 = 87%, Tau2 = 0.02; p = 0.19. Very low certainty in the evidence was observed due to serious concerns regarding the risk of bias, inconsistency, and indirectness. The limited available evidence detracts from the clinical interpretation of the findings.

Details

Language :
English
ISSN :
20763417
Volume :
14
Issue :
15
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.f09cbd3e0294cf1906c0efa1f12ed68
Document Type :
article
Full Text :
https://doi.org/10.3390/app14156632