{"title":"基于移动健康的运动与传统运动对膝关节骨关节炎患者疼痛、功能残疾和生活质量的影响：随机对照试验的系统回顾和荟萃分析","authors":"Liang Tang, Meng-Ming Wang, He-Xia Wang, Xiao-Ya He, Yue-Shuai Jiang","doi":"10.3389/fphys.2024.1511199","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study aims to compare the efficacy of mHealth-based exercise interventions with traditional exercise in improving pain intensity, functional disability, and quality of life in patients suffering from knee osteoarthritis (OA).</p><p><strong>Method: </strong>Randomized controlled trials (RCTs) published from their inception to 23 August 2024 were searched in Cochrane, Embase, Medline, Web of Science. Reviewer pairs independently extracted data and evaluated bias using the Cochrane Risk of Bias tool.</p><p><strong>Results: </strong>Eleven studies, with a total of 800 participants with a mean age of 55.51 ± 6.88 years, were identified. All RCTs were performed from 2013 to 2024. There was no statistically significant difference between mHealth-supported exercise compared with the traditional exercise without mHealth in terms of pain reduction (standard mean differences [SMD] = -0.35; 95%CI: -0.74 to 0.04, P = 0.08), functional disability (SMD = -0.5; 95%CI: -0.1 to 0.01; P = 0.05), and quality of life (SMD = 0.11; 95%CI: -0.26 to 0.48; P = 0.56). However, a statistically significant difference was found between mHealth-supported exercise compared with unsupervised traditional exercise in terms of pain (SMD = -1.03; 95%CI: -1.49 to -0.57; P < 0.001) and functional disability (SMD = -0.89; 95%CI: -1.71 to -0.06; P = 0.04).</p><p><strong>Conclusion: </strong>mHealth-based exercise was found to be more effective than unsupervised conventional exercise in promoting pain relief and enhancing functional disability in patients with OA. When face-to-face exercise intervention is not feasible, mHealth-based exercise should be considered a viable option in the recovery process for knee OA. Given the significant heterogeneity observed in this study, it is important to exercise caution when extrapolating the results.</p><p><strong>Systematic review registration: </strong>https://www.crd.york.ac.uk/PROSPERO/#recordDetails, identifier CRD42024610393.</p>","PeriodicalId":12477,"journal":{"name":"Frontiers in Physiology","volume":"15 ","pages":"1511199"},"PeriodicalIF":3.2000,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11739084/pdf/","citationCount":"0","resultStr":"{\"title\":\"mHealth-based exercise vs. traditional exercise on pain, functional disability, and quality of life in patients with knee osteoarthritis: a systematic review and meta-analysis of randomized controlled trials.\",\"authors\":\"Liang Tang, Meng-Ming Wang, He-Xia Wang, Xiao-Ya He, Yue-Shuai Jiang\",\"doi\":\"10.3389/fphys.2024.1511199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>This study aims to compare the efficacy of mHealth-based exercise interventions with traditional exercise in improving pain intensity, functional disability, and quality of life in patients suffering from knee osteoarthritis (OA).</p><p><strong>Method: </strong>Randomized controlled trials (RCTs) published from their inception to 23 August 2024 were searched in Cochrane, Embase, Medline, Web of Science. Reviewer pairs independently extracted data and evaluated bias using the Cochrane Risk of Bias tool.</p><p><strong>Results: </strong>Eleven studies, with a total of 800 participants with a mean age of 55.51 ± 6.88 years, were identified. All RCTs were performed from 2013 to 2024. There was no statistically significant difference between mHealth-supported exercise compared with the traditional exercise without mHealth in terms of pain reduction (standard mean differences [SMD] = -0.35; 95%CI: -0.74 to 0.04, P = 0.08), functional disability (SMD = -0.5; 95%CI: -0.1 to 0.01; P = 0.05), and quality of life (SMD = 0.11; 95%CI: -0.26 to 0.48; P = 0.56). However, a statistically significant difference was found between mHealth-supported exercise compared with unsupervised traditional exercise in terms of pain (SMD = -1.03; 95%CI: -1.49 to -0.57; P < 0.001) and functional disability (SMD = -0.89; 95%CI: -1.71 to -0.06; P = 0.04).</p><p><strong>Conclusion: </strong>mHealth-based exercise was found to be more effective than unsupervised conventional exercise in promoting pain relief and enhancing functional disability in patients with OA. When face-to-face exercise intervention is not feasible, mHealth-based exercise should be considered a viable option in the recovery process for knee OA. Given the significant heterogeneity observed in this study, it is important to exercise caution when extrapolating the results.</p><p><strong>Systematic review registration: </strong>https://www.crd.york.ac.uk/PROSPERO/#recordDetails, identifier CRD42024610393.</p>\",\"PeriodicalId\":12477,\"journal\":{\"name\":\"Frontiers in Physiology\",\"volume\":\"15 \",\"pages\":\"1511199\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11739084/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Physiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3389/fphys.2024.1511199\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"PHYSIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Physiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fphys.2024.1511199","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PHYSIOLOGY","Score":null,"Total":0}
mHealth-based exercise vs. traditional exercise on pain, functional disability, and quality of life in patients with knee osteoarthritis: a systematic review and meta-analysis of randomized controlled trials.
Objective: This study aims to compare the efficacy of mHealth-based exercise interventions with traditional exercise in improving pain intensity, functional disability, and quality of life in patients suffering from knee osteoarthritis (OA).
Method: Randomized controlled trials (RCTs) published from their inception to 23 August 2024 were searched in Cochrane, Embase, Medline, Web of Science. Reviewer pairs independently extracted data and evaluated bias using the Cochrane Risk of Bias tool.
Results: Eleven studies, with a total of 800 participants with a mean age of 55.51 ± 6.88 years, were identified. All RCTs were performed from 2013 to 2024. There was no statistically significant difference between mHealth-supported exercise compared with the traditional exercise without mHealth in terms of pain reduction (standard mean differences [SMD] = -0.35; 95%CI: -0.74 to 0.04, P = 0.08), functional disability (SMD = -0.5; 95%CI: -0.1 to 0.01; P = 0.05), and quality of life (SMD = 0.11; 95%CI: -0.26 to 0.48; P = 0.56). However, a statistically significant difference was found between mHealth-supported exercise compared with unsupervised traditional exercise in terms of pain (SMD = -1.03; 95%CI: -1.49 to -0.57; P < 0.001) and functional disability (SMD = -0.89; 95%CI: -1.71 to -0.06; P = 0.04).
Conclusion: mHealth-based exercise was found to be more effective than unsupervised conventional exercise in promoting pain relief and enhancing functional disability in patients with OA. When face-to-face exercise intervention is not feasible, mHealth-based exercise should be considered a viable option in the recovery process for knee OA. Given the significant heterogeneity observed in this study, it is important to exercise caution when extrapolating the results.
期刊介绍：
Frontiers in Physiology is a leading journal in its field, publishing rigorously peer-reviewed research on the physiology of living systems, from the subcellular and molecular domains to the intact organism, and its interaction with the environment. Field Chief Editor George E. Billman at the Ohio State University Columbus is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
