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数字健康干预措施提高心肺适能的有效性:一项系统评价与荟萃分析。

Effectiveness of digital health interventions to increase cardiorespiratory fitness: A systematic review and meta-analysis.

作者信息

Rowland Sheri, Bach Christina, Simon Krystyna, Westmark Danielle M, Sperling Edie

机构信息

University of Nebraska Medical Center College of Nursing, Lincoln, USA.

Baptist Health, Jacksonville, USA.

出版信息

Digit Health. 2024 Oct 7;10:20552076241282381. doi: 10.1177/20552076241282381. eCollection 2024 Jan-Dec.

Abstract

BACKGROUND

Interventions using commercial digital health tools do favorably affect health outcomes. However, the effect of digital tools on cardiorespiratory fitness, a more novel indicator cardiovascular risk, is unclear.

PURPOSE

Synthesize the digital health intervention literature and answer the following question: What is the effect of interventions using mobile health apps, wearable activity trackers, and/or text messaging on cardiorespiratory fitness?

METHODS

A systematic review and a meta-analysis (PROSPERO CRD42023423925) were conducted to evaluate the immediate digital health intervention effect on adult cardiorespiratory fitness. In March 2023, a search of databases Embase, MEDLINE, CINHAL, and Cochrane Library was completed. Studies were included if the intervention used a mobile health app, text messaging, and/or activity tracker. Studies were excluded if an objective measure of fitness was not used; the sample included children; the setting was hospital-based; and the digital health technology was only used for data collection or described as virtual reality. Using a random-effects model, two separate meta-analyses were completed: one for single-group studies and one for multi-group studies. Standardized mean difference effect sizes (Cohen's ) were calculated. Study quality was evaluated with the Cochrane Risk of Bias tool and ROBINS-I tool.

RESULTS

Fifty-three studies (3657 individuals) with pre-post designs (12 single-group, 41 multi-group) were included. Most studies targeted participants with a specific chronic health condition. Digital health interventions in the single-group studies had a moderate-to-large effect size (= 0.62, 95% confidence interval () [0.41-0.84], < 0.001), and multi-group studies had small-to-moderate effect size (= 0.38, 95% 0.21-0.55, < 0.001). Significant heterogeneity of effects was observed in both the single-group and multi-group studies.

CONCLUSIONS

Interventions using text messaging, a mobile app, or activity tracker alone or in combination are effective in improving cardiorespiratory fitness in adults, particularly for those with a chronic health condition.

摘要

背景

使用商业数字健康工具的干预措施确实会对健康结果产生积极影响。然而,数字工具对心肺适能(一种更新颖的心血管风险指标)的影响尚不清楚。

目的

综合数字健康干预文献,并回答以下问题:使用移动健康应用程序、可穿戴活动追踪器和/或短信进行的干预对心肺适能有何影响?

方法

进行了一项系统评价和荟萃分析(PROSPERO CRD42023423925),以评估数字健康干预对成人心肺适能的即时影响。2023年3月,完成了对Embase、MEDLINE、CINHAL和Cochrane图书馆数据库的检索。如果干预措施使用了移动健康应用程序、短信和/或活动追踪器,则纳入研究。如果未使用客观的体能测量方法;样本包括儿童;研究环境为医院;以及数字健康技术仅用于数据收集或被描述为虚拟现实,则排除研究。使用随机效应模型,完成了两项单独的荟萃分析:一项针对单组研究,一项针对多组研究。计算标准化平均差效应量(科恩d值)。使用Cochrane偏倚风险工具和ROBINS-I工具评估研究质量。

结果

纳入了53项前后设计的研究(3657名个体)(12项单组研究,41项多组研究)。大多数研究针对患有特定慢性健康状况的参与者。单组研究中的数字健康干预具有中等到较大的效应量(d = 0.62,95%置信区间[CI] [0.41 - 0.84],P < 0.001),多组研究具有小到中等的效应量(d = 0.38,95% CI 0.21 - 0.55,P < 0.001)。在单组和多组研究中均观察到显著的效应异质性。

结论

单独或联合使用短信、移动应用程序或活动追踪器进行干预,对改善成人心肺适能有效,尤其是对患有慢性健康状况的人。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5377/11459671/ef7bdef84d14/10.1177_20552076241282381-fig1.jpg

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