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支持中风后成人身体活动和久坐行为的数字健康行为干预:一项对对照试验进行荟萃分析的系统文献综述

Digital Health Behavioural Interventions to Support Physical Activity and Sedentary Behaviour in Adults after Stroke: A Systematic Literature Review with Meta-Analysis of Controlled Trials.

作者信息

Wang Serena Caitlin Yen, Kassavou Aikaterini

机构信息

Harvard Medical School, Boston, MA 02115, USA.

Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK.

出版信息

Behav Sci (Basel). 2023 Jan 10;13(1):62. doi: 10.3390/bs13010062.

Abstract

Background: As the global prevalence of stroke continues to rise, it becomes increasingly pressing to investigate digital health behaviour change interventions that promote physical activity and reduce sedentary behaviour for stroke patients to support active lifestyles. Purpose: The primary aim of this study is to investigate the effectiveness of digital health interventions in promoting physical activity and reducing sedentary behaviour for stroke patients. The secondary aim is to investigate the intervention components that explain intervention effectiveness to further inform intervention development and policy making. Methods: A systematic search of the literature was conducted in four databases (Scopus, MEDLINE (PubMed), Web of Science, and PsychINFO) to identify the most robust evidence in the form of randomised controlled trials of digital interventions for patients with stroke. A random-effects meta-analysis were utilized to quantify the intervention effects on behaviour change, and subgroup analyses to characterise intervention effective components. Results: In total, 16 RCTs were deemed eligible and included in the systematic review. Meta-analyses suggested significant improvements in physical activity (SMD = 0.39, 95% CI 0.17, 0.61, N = 326, p < 0.001, I2 = 0%), and reductions in time of sedentary behaviour (SMD= −0.45, 95% CI −0.76, -0.14, N = 167, p = 0.00, I2 = 0%) after stroke. The 10 m walk test for physical activity, and the timed up and go test for sedentary behaviour, were the objective outcome measures in the most effective behavioural change interventions. Subgroup analyses found that most effective interventions were underpinned by theories of self-regulation and utilised interactive functions to engage patients with the processes of behaviour change. Conclusions: Digital self-monitoring behavioural interventions are effective in promoting physical activity for stroke patients in adjunct to usual care clinical practice and rehabilitation programmes. Rigorous studies are required to provide evidence to disentangle the most effective intervention components for preventative practices and rehabilitation programs and to inform policymaking for stroke treatment.

摘要

背景

随着全球中风患病率持续上升,研究促进中风患者身体活动并减少久坐行为以支持积极生活方式的数字健康行为改变干预措施变得愈发紧迫。目的:本研究的主要目的是调查数字健康干预对中风患者促进身体活动和减少久坐行为的有效性。次要目的是调查解释干预有效性的干预组成部分,以进一步为干预发展和政策制定提供信息。方法:在四个数据库(Scopus、MEDLINE(PubMed)、Web of Science和PsychINFO)中进行文献系统检索,以识别中风患者数字干预随机对照试验形式的最有力证据。采用随机效应荟萃分析来量化干预对行为改变的影响,并进行亚组分析以表征干预有效组成部分。结果:总共16项随机对照试验被认为符合纳入系统评价的条件。荟萃分析表明,中风后身体活动有显著改善(标准化均数差=0.39,95%可信区间0.17,0.61,N = 326,p < 0.001,I² = 0%),久坐行为时间减少(标准化均数差=-0.45,95%可信区间-0.76,-0.14,N = 167,p = 0.00,I² = 0%)。身体活动的10米步行试验和久坐行为的计时起立行走试验是最有效行为改变干预中的客观结局指标。亚组分析发现,最有效的干预以自我调节理论为基础,并利用互动功能促使患者参与行为改变过程。结论:数字自我监测行为干预在常规护理临床实践和康复计划之外,对促进中风患者身体活动有效。需要进行严谨研究以提供证据,理清预防实践和康复计划中最有效的干预组成部分,并为中风治疗的政策制定提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea49/9855227/fe03345ac0fc/behavsci-13-00062-g001.jpg

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