App-based supplemental exercise in rehabilitation, adherence, and effect on outcomes: a randomized controlled trial

Li, Ingrid; Bui, Tram; Phan, Hoang; Lladò, Ana; King, Clayton; Scrivener, Katharine

doi:10.1177/0269215520928119

Cited by 10 publications

(20 citation statements)

References 35 publications

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“…Nowadays, increasing number os exercise apps emerge, which could generally record and monitor our exercise-related information, such as exercise duration and frequency, as well as our real-time heart rate and breath frequency, etc. ( 61 , 62 ). These records serve as encouragement to patients and a reflection of patients' compliance with the clinician.…”

Section: Discussionmentioning

confidence: 99%

Effects of Exercise on Sleep Quality and Insomnia in Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

et al. 2021

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Study Objectives: We conducted a meta-analysis to assess the effects of different regular exercise (lasting at least 2 months on a regular basis) on self-reported and physiological sleep quality in adults. Varied exercise interventions contained traditional physical exercise (e.g., walking, cycling) and mind–body exercise characterized by gentle exercise with coordination of the body (e.g., yoga).Methods: Procedures followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Systematical searches were conducted in three electronic databases (PubMed, Embase, and Web of Science) for relevant research that involved adult participants without pathological diseases receiving exercise intervention. The search strategy was based on the population, intervention, comparison, and outcome study design (PICOS) framework. The self-reported outcomes included varied rating scales of Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and Epworth Sleepiness Scale (ESS). Subgroup meta-analyses of PSQI scores were conducted based on type of exercise, duration of intervention, and participants' age and gender. The physiological outcomes were measured by Actigraph. All meta-analyses were performed in a fixed or random statistic model using Revman software.Results: Twenty-two randomized controlled trials were included in the analysis. The overall analysis on subjective outcomes suggests that exercise interventions significantly improved sleep quality in adults compared with control interventions with lower PSQI (MD −2.19; 95% CI −2.96 to −1.41), ISI (MD −1.52; 95% CI −2.63 to −0.41), and ESS (MD −2.55; 95% CI −3.32 to −1.78) scores. Subgroup analyses of PSQI scores showed both physical and mind–body exercise interventions resulted in improvements of subjective sleep to the same extent. Interestingly, short-term interventions (≤3 months) had a significantly greater reduction in sleep disturbance vs. long-term interventions (>3 months). Regarding physiological sleep, few significant effects were found in various sleep parameters except the increased sleep efficiency in the exercise group vs. control group.Conclusions: Results of this systematic review suggest that regular physical as well as mind–body exercise primarily improved subjective sleep quality rather than physiological sleep quality in adults. Specifically, self-reported sleep quality, insomnia severity, and daytime sleepiness could be improved or ameliorated with treatment of exercise, respectively, evaluated by PSQI, ISI, and ESS sleep rating scales.

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Section: Discussionmentioning

confidence: 99%

Effects of Exercise on Sleep Quality and Insomnia in Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

et al. 2021

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“…Regarding PA activity and behaviors, participants in mHealth group increased their engagement in PA ( p <0.05) while in control group decreased it. Li et al, 2020 [ 40 ] Australia Neurological conditions N = 38 mHealth G: 22 Control G: 16 ND App-based PA program + CGI Physical therapy -Session: not defined -Intervention: depends on the length of patients stay in rehabilitation Session: not defined Intervention: depends on the length of patients stay in rehabilitation -Total supplementary PA dosage (mHealth G) -Gait endurance, gait speed, dynamic balance, and level of disability Frequency of app use and repetitions of exercise performed 6MWT;10MWT; TUG; FIM. Both groups demonstrated significant changes for all functional outcome measures ( p <0.01).…”

Section: Resultsmentioning

confidence: 99%

mHealth Impact on Gait and Dynamic Balance Outcomes in Neurorehabilitation: Systematic Review and Meta-analysis

et al. 2023

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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.

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“…Only one study presented the TUG, HOOS and SF-36 scores [ 14 ]. In the remaining four studies, patients suffered from knee [ 15 ] and hip osteoarthritis [ 16 , 17 , 18 ]. Those studies reported the changes in the functional mobility, timed up to go test, disability and functional independence measure [ 16 ], self-management behavior [ 17 ] and visual analogue scale at rest (R-VAS) [ 18 ].…”

Section: Resultsmentioning

confidence: 99%

A Review of Functional Outcomes after the App-Based Rehabilitation of Patients with TKA and THA

Bäcker

Pförringer

et al. 2022

JPM

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Following the outbreak of SARS-CoV-2, several elective surgeries were cancelled, and rehabilitation units were closed. This has led to difficulties for patients seeking access to rehabilitation in order to achieve the best possible outcome. New applications with or without sensors were developed to address this need, but the outcome has not been examined in detail yet. The aim of this study was to perform a systematic literature review on smart phone applications for patients suffering from hip and knee osteoarthritis after arthroplasty. The MEDLINE/PubMed and Google databases were queried using the search term “[APP] AND [ORTHOPEDIC]” according to PRISMA guidelines. All prospective studies investigating rehabilitation applications reporting the functional outcome in hip and knee osteoarthritis after arthroplasty were included. The initial search yielded 420 entries, but only 9 publications met the inclusion criteria, accounting for 1067 patients. In total, 518 patients were in the intervention group, and 549 patients were in the control group. The average follow-up was 9.5 ± 8.1 months (range: 3 to 23.4 months). Overall, significantly lower A-VAS values were observed for the interventional group in the short term (p = 0.002). There were no other significant differences observed between the two groups. Smart phone applications provide an alternative to in-person sessions that may improve access for patients after total joint arthroplasty. Our study found there are significant improvements in the short term by using this approach. In combination with a blue-tooth-enabled sensor for isometric exercises, patients can even receive real-time feedback after total knee arthroplasty.

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App-based supplemental exercise in rehabilitation, adherence, and effect on outcomes: a randomized controlled trial

Cited by 10 publications

References 35 publications

Effects of Exercise on Sleep Quality and Insomnia in Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Effects of Exercise on Sleep Quality and Insomnia in Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

mHealth Impact on Gait and Dynamic Balance Outcomes in Neurorehabilitation: Systematic Review and Meta-analysis

A Review of Functional Outcomes after the App-Based Rehabilitation of Patients with TKA and THA

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