Digital lifestyle interventions for cardiovascular risk reduction: A systematic review and network meta-analysis

IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Health Policy and Technology Pub Date : 2024-06-06 DOI:10.1016/j.hlpt.2024.100879
Teketo Kassaw Tegegne , Desalegn Markos Shifti , Jonathan Charles Rawstorn , Paul Jansons , Yuxin Zhang , Reza Daryabeygikhotbehsara , Sheikh Mohammed Shariful Islam , Ralph Maddison
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Abstract

Objectives

To compare the relative effectiveness of different digital lifestyle interventions in improving cardiovascular risk factors.

Methods

A comprehensive systematic review and network meta-analysis (NMA) of randomized controlled trials (RCTs) was conducted. Seven electronic databases were searched from 1990 to April 4, 2024. The certainty of evidence was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach. A Bayesian random-effects network meta-analysis (NMA) was performed. Continuous outcomes are reported as mean differences (MD) with their 95 % credible intervals (CrI).

Results

The combinations of physical activity + diet + smoking cessation (PA+D+Sm), and physical activity + diet (PA+D) components were the most effective interventions, leading to substantial improvements in multiple cardiovascular risk factors compared to usual care or some other digital lifestyle interventions with low to high certainty. Dietary interventions significantly reduced body weight and glycosylated hemoglobin (HbA1c) compared to usual care. Although the effect sizes did not meet established clinical significance thresholds for most cardiovascular risk factors, they still hold clinical relevance, highlighting the potential for significant health improvements.

Conclusions

Multifactorial digital lifestyle interventions, particularly those combining PA+D+Sm and PA+D components, appear the most promising for reducing cardiovascular risk factors.

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降低心血管风险的数字化生活方式干预:系统综述和网络荟萃分析
方法 对随机对照试验(RCT)进行了全面的系统综述和网络荟萃分析(NMA)。检索了 1990 年至 2024 年 4 月 4 日期间的七个电子数据库。采用建议、评估、发展和评价分级法(GRADE)对证据的确定性进行了评估。进行了贝叶斯随机效应网络荟萃分析(NMA)。结果体育锻炼+饮食+戒烟(PA+D+Sm)和体育锻炼+饮食(PA+D)的组合是最有效的干预措施,与常规护理或其他一些低到高确定性的数字生活方式干预措施相比,能显著改善多种心血管风险因素。与常规护理相比,饮食干预能明显降低体重和糖化血红蛋白(HbA1c)。结论多因素数字化生活方式干预,尤其是那些结合了 PA+D+Sm 和 PA+D 成分的干预,似乎最有希望降低心血管风险因素。
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来源期刊
Health Policy and Technology
Health Policy and Technology Medicine-Health Policy
CiteScore
9.20
自引率
3.30%
发文量
78
审稿时长
88 days
期刊介绍: Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments. HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology. Topics covered by HPT will include: - Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems - Cross-national comparisons on health policy using evidence-based approaches - National studies on health policy to determine the outcomes of technology-driven initiatives - Cross-border eHealth including health tourism - The digital divide in mobility, access and affordability of healthcare - Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies - Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies - Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making - Stakeholder engagement with health technologies (clinical and patient/citizen buy-in) - Regulation and health economics
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