Background Chronic pain (CP) is 1 of the leading causes of disability worldwide and represents a significant burden on individual, social, and economic aspects. Potential tools, such as mobile health (mHealth) systems, are emerging for the self-management of patients with CP. Objective A systematic review was conducted to analyze the effects of mHealth interventions on CP management, based on pain intensity, quality of life (QoL), and functional disability assessment, compared to conventional treatment or nonintervention. Methods PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines were followed to conduct a systematic review of randomized controlled trials (RCTs) published in PubMed, Web of Science, Scopus, and Physiotherapy Evidence Database (PEDro) databases from February to March 2022. No filters were used. The eligibility criteria were RCTs of adults (≥18 years old) with CP, intervened with mHealth systems based on mobile apps for monitoring pain and health-related outcomes, for pain and behavioral self-management, and for performing therapeutic approaches, compared to conventional treatments (physical, occupational, and psychological therapies; usual medical care; and education) or nonintervention, reporting pain intensity, QoL, and functional disability. The methodological quality and risk of bias (RoB) were assessed using the Checklist for Measuring Quality, the Oxford Centre for Evidence-Based Medicine Levels of Evidence, and the Cochrane RoB 2.0 tool. Results In total, 22 RCTs, involving 2641 patients with different CP conditions listed in the International Classification of Diseases 11th Revision (ICD-11), including chronic low back pain (CLBP), chronic musculoskeletal pain (CMSP), chronic neck pain (CNP), unspecified CP, chronic pelvic pain (CPP), fibromyalgia (FM), interstitial cystitis/bladder pain syndrome (IC/BPS), irritable bowel syndrome (IBS), and osteoarthritis (OA). A total of 23 mHealth systems were used to conduct a variety of CP self-management strategies, among which monitoring pain and symptoms and home-based exercise programs were the most used. Beneficial effects of the use of mHealth systems in reducing pain intensity (CNP, FM, IC/BPS, and OA), QoL (CLBP, CNP, IBS, and OA), and functional disability (CLBP, CMSP, CNP, and OA) were found. Most of the included studies (18/22, 82%) reported medium methodological quality and were considered as highly recommendable; in addition, 7/22 (32%) studies had a low RoB, 10/22 (45%) had some concerns, and 5/22 (23%) had a high RoB. Conclusions The use of mHealth systems indicated positive effects for pain intensity in CNP, FM, IC/BPS, and OA; for QoL in CLBP, CNP, IBS, and OA; and for functional disability in CLBP, CMSP, CNP, and OA. Thus, mHealth seems to be an alternative to improving pain-related outcomes and QoL and could be part of multimodal strategies for CP self-management. High-quality studies are needed to merge the evidence and recommendations of the use of mHealth systems for CP management. Trial Registration PROSPERO International Prospective Register of Systematic Reviews CRD42022315808; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=315808

Objective: To identify and compare physical activity levels in the Spanish population with chronic low back pain and their associated factors.Design: Cross-sectional national study.Subjects: A total of 3,220 adults with chronic low back pain from the 2017 Spanish National Health Survey.Methods: Three groups were defined according to physical activity level (low, moderate, and high) assessed with the International Physical Activity Questionnaire. Descriptive analysis and an ordinal regression model were performed.Results: Thirty percent of the subjects were classed as doing a low level of physical activity, 53% moderate, and 17% high. Females predominated in the low and moderate groups, and the subjects in the high group were younger. Subjects in the low group reported more use of pain-relief, more severe-extreme pain, more functional limitations, and worse quality of life and mental health. Factors more likely to be associated with higher levels of physical activity were: being male, normal body mass index or overweight, better health status, less pain, less physical and cognitive limitations, and more social support.Conclusion: Different aspects of the biopsychosocial framework were associated with the different levels of physical activity in subjects with chronic low back pain. These findings should be taken into consideration in order to establish suitable public health strategies. LAY ABSTRACTPhysical activity benefits subjects with chronic pain, although its performance depends on various factors. This study analysed 3,220 adults with chronic low back pain from the 2017 Spanish National Health Survey, in order to identify and compare levels of physical activity (International Physical Activity Questionnaire) and their associated factors. Thirty percent of subjects were classed as doing low levels of physical activity, 53% moderate, and 17% high. Females predominated in the low and moderate level groups, and subjects with a high level of physical activity were younger. Subjects in the low level of physical activity group reported more consumption of pain-relief, more severe-extreme pain, more functional limitations, and worse quality of life and mental health. Factors associated with more physical activity were being male, normal body mass index (BMI) or overweight, better health status, less pain, less physical and cognitive limitations, and more social support. In conclusion, different biopsychosocial aspects were associated with the different levels of physical activity in subjects with chronic low back pain, and this information should be taken into consideration in order to establish suitable public health strategies.

Gait and dynamic balance are two main goals in neurorehabilitation that mHealth systems could address. To analyze the impact of using mHealth systems on gait and dynamic balance outcomes in subjects with neurological disorders. Randomized controlled trials (RCT) published in PubMed, Web of Science, Scopus, and PEDro databases were searched up to April 2023. Studies including adults with neurological disorders, analyzing the effectiveness of mHealth systems on gait and dynamic balance compared with conventional therapy and/or not intervention, were included. The PEDro scale and the Cochrane Collaboration’s 2.0 tool were used for the methodological quality and risk of bias assessment. The Review Manager 5.4 software was used to obtain meta-analyses. 13 RCT were included in the systematic review and 11 in the meta-analyses, involving 528 subjects. A total of 21 mobile applications were identified for gait and balance training, and to enhance physical activity behaviors. There were significant differences in gait parameters, speed by 0.10 s/m (95% confidence interval (CI)=0.07,0.13;p<0.001), cadence by 8.01 steps/min (95%CI=3.30,12.72;p<0.001), affected step length by 8.89 cm (95%CI=4.88,12.90;p<0.001), non-affected step length by 8.08 cm (5%CI=2.64,13.51;p=0.004), and in dynamic balance, Timed Up and Go by -7.15 s (95%CI=-9.30,-4.99;p<0.001), and mobility subscale of Posture Assessment Scale for Stroke by 1.71 points (95%CI=1.38,2.04;p<0.001). Our findings suggested the use of mHealth systems for improving gait in subjects with neurological disorders, but controversial results on dynamics balance recovery were obtained. However, the quality of evidence is insufficient to strongly recommend them, so further research is needed.