Effects of focus training on heart rate variability in post-stroke fatigue patients

Wang, Yao; Xiao, Gonglian; Zeng, Qing; He, Mingjun; Li, Fēi; Lin, Jiaxin; Luo, Xun; Wang, Yulong

doi:10.1186/s12967-022-03239-4

Cited by 3 publications

(12 citation statements)

References 27 publications

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“…In total, 13 completed trials (two from pre-2014 and 11 from post-2014) [12][13][14][15][16][17][18][19][20][21][22][23][24] and 13 on-going trials were eligible for inclusion (Figure 1). [25][26][27][28][29][30][31][32][33][34][35][36][37]…”

Section: Study Selectionmentioning

confidence: 99%

“…[22][23][24] This present section outlines the characteristics of the 10 completed trials with full reports (2 from the 2015 review and 8 from the 2023 sea rch). [12][13][14][15][16][17][18][19][20][21] All were randomized individual trials, recruiting a total of 440 participants from 6 different countries (Australia, China, Iran, New Zealand, Sweden, and the United Kingdom) (Appendix 3).…”

Section: Description Of Completed Trials With Full Reportsmentioning

confidence: 99%

“…40 Two physical therapy interventions used conventional rehabilitation, including limb strengthening and joint motion training as their control. 16,20 Health education was used in three studies, via a structured program 12,21 or information leaflet. 17 The remaining studies either used a waiting list control 13,18 or standard care.…”

Section: Meta-analysismentioning

confidence: 99%

“…19 Outcomes. As their primary outcome measure, six studies used the FSS, 12,14,15,18,20,21 two studies used the mental fatigue scale, 13,19 one used the fatigue impact scale, 16 and one used the fatigue assessment scale. 17 Five studies assessed fatigue using a second measurement scale.…”

Section: Meta-analysismentioning

confidence: 99%

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Non-pharmacological interventions for the treatment of post-stroke fatigue: A systematic review

Komber,

Chu,

Zhao

et al. 2023

International Journal of Stroke

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Background: Post-stroke fatigue (PSF) affects 50% of stroke survivors. Current guidance on management of this condition is limited. Aims: This systematic review and meta-analysis aimed to identify and analyze all randomized clinical trials (RCTs) of non-pharmacological interventions for the treatment of PSF. Summary of review: Six electronic databases were searched from inception to January 2023 for English-language RCTs investigating the efficacy of non-pharmacological interventions versus passive controls in patients with PSF. The primary outcome was fatigue severity at the end of the intervention. The Cochrane risk-of-bias (ROB)2 tool was used to assess evidence quality. A total of 7990 records were retrieved, 333 studies were scrutinized, and 13 completed RCTs (484 participants) were included. Interventions included psychological therapies, physical therapies, and brain stimulation. Nine studies provided sufficient data for meta-analysis, of which seven also had follow-up data. Fatigue severity was lower in the intervention groups at the end of the intervention compared with control (participants = 310, standardized mean difference (SMD) = −0.57, 95% confidence intervals (CIs) (−0.87 to −0.28)) and at follow-up (participants = 112, SMD = −0.36, 95% CIs (−0.83 to 0.10)). Certainty in the effect estimate was downgraded to low for a serious ROB and imprecision. Subgroup analysis revealed significant benefits with physical therapy and brain stimulation but not psychological therapies, though sample sizes were low. Conclusion: Non-pharmacological interventions improved fatigue but the quality of evidence was low. Further RCTs are needed for PSF management.

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Section: Study Selectionmentioning

confidence: 99%

Section: Description Of Completed Trials With Full Reportsmentioning

confidence: 99%

Section: Meta-analysismentioning

confidence: 99%

Section: Meta-analysismentioning

confidence: 99%

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Non-pharmacological interventions for the treatment of post-stroke fatigue: A systematic review

Komber,

Chu,

Zhao

et al. 2023

International Journal of Stroke

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“… 1 The prevalence of stroke is estimated to range from 25% to 85%, and Fatigue is a prevalent and enduring outcome of stroke. 2 Post-stroke fatigue (PSF) has a negative impact on daily functioning and social participation. Prior research on PSF has primarily concentrated on individuals with ischaemic stroke.…”

Section: Introductionmentioning

confidence: 99%

Managing Post-Stroke Fatigue Using a Mobile Health Called iHealth After Intracerebral Hemorrhage

Jin,

Zhu,

Zhou

et al. 2024

JMDH

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Background Post-stroke Fatigue (PSF) after Intracerebral Hemorrhage (ICH) is a long-term symptom in stroke survivors. However, the pathogenesis of PSF remains inadequately understood and sufficient evidence-based treatments are lacking. Mobile health (mHealth) technology offers a promising approach to expanding access to high-quality and culturally tailored evidence-based mental care. Aim This study examined the role of mHealth called iHealth in the management of PSF after ICH. Methods A total of 225 patients diagnosed with intracerebral hemorrhage (ICH) were included in the study and randomly assigned to either the Mobile Health Intervention Group (mHI Group) or the non-Mobile Health Intervention Group (non-mHI). The management involved the utilization of a digital healthcare application named iHealth, which incorporated digital questionnaires, fatigue scale tests, and online videos for the purpose of administering the Patient Fatigue Reporting Measurement Information System (PFRMIS) short form as part of the initial patient assessment following ICH. The study was conducted remotely via video conferencing over a 12-week period in mHI Group, with fatigue assessments being conducted 3 months post-ICH onset in two groups. Results Following the administration of PSF by iHealth, Univariate Logistic analyses indicated a significant association between fatigue and the type of activity, with patients who were sedentary or did nothing experiencing higher levels of fatigue (β=2.332, p<0.001; β=2.517, p<0.001). Multivariate Logistic analyses demonstrated a positive association between the intensity of physical activity and decreased emotional well-being and family support, as well as increased fatigue. (p=0.001, p=0.002, p=0.001). The FSS results demonstrated a significantly reduced incidence of PSF in the MHI group in comparison to non-mHI group following the conclusion of the programme. (13.1% vs 40%, p<0.001). Conclusion This study explored the effectiveness of the iHealth app for PSF following ICH, indicating that iHealth is a clinically valuable tool that warrants further dissemination.

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Impact of spa therapy on physical activity, sleep and heart rate variability among individuals with fibromyalgia: Results of an ancillary study

Colas,

Hodaj,

Pichot

et al. 2024

Complementary Therapies in Clinical Practice

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Effects of focus training on heart rate variability in post-stroke fatigue patients

Cited by 3 publications

References 27 publications

Non-pharmacological interventions for the treatment of post-stroke fatigue: A systematic review

Non-pharmacological interventions for the treatment of post-stroke fatigue: A systematic review

Managing Post-Stroke Fatigue Using a Mobile Health Called iHealth After Intracerebral Hemorrhage

Impact of spa therapy on physical activity, sleep and heart rate variability among individuals with fibromyalgia: Results of an ancillary study

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