Does personalization improve the effectiveness of app-based mobile health interventions on physical activity? A systematic review and meta-analysis.

IF 2 3区心理学 Q2 PSYCHOLOGY, MULTIDISCIPLINARY

Psychology & Health Pub Date : 2026-05-24 DOI:10.1080/08870446.2026.2677085

Victoria E Hill, Kaileigh A Byrne, Delaini Daughenbaugh, Matthew Caymol

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引用次数: 0

Abstract

Objective: The primary study aim is to evaluate the impact of app-based mobile Health (mHealth) interventions on physical activity in healthy populations and examine whether personalisation moderates their effectiveness. The secondary aim is to explore the potential moderating role of social features.

Methods and measures: A systematic review and meta-analysis examined the effect of mHealth apps on physical activity, measured by step count, moderate-to-vigorous physical activity (MVPA), or total activity. A total of 16,257 articles were identified via five databases in November 2023. After screening, 20 studies (n = 2,159 participants) were included with 23 total comparisons between postintervention and control groups.

Results: Random effects model results for all eligible studies showed a small-to-medium effect of mHealth apps in increasing physical activity compared to controls (g = 0.42, 95% CI [0.1540, 0.6874]; p = 0.002). Personalisation p = 0.22), social features (p = 0.12), and intervention duration p = 0.99) did not predict physical activity. However, a sensitivity analysis for step count only showed a negative effect of social features on step count (β=-0.50, p = 0.02).

Conclusion: While mHealth interventions increase physical activity, personalisation features do not significantly influence their effectiveness. Additional research is needed to elucidate the impact of mHealth social features and potential individual difference factors on intervention effectiveness.

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个性化是否提高了基于应用程序的移动健康干预对身体活动的有效性？系统回顾和荟萃分析。

目的：本研究的主要目的是评估基于应用程序的移动健康（mHealth）干预对健康人群身体活动的影响，并检查个性化是否会调节其有效性。第二个目的是探索社会特征的潜在调节作用。方法和措施：一项系统综述和荟萃分析研究了移动健康应用程序对身体活动的影响，通过步数、中等到剧烈的身体活动（MVPA）或总活动来衡量。截至2023年11月，通过5个数据库共鉴定出16257篇文章。筛选后，纳入20项研究（n = 2159名参与者），干预后与对照组共进行23项比较。结果：所有符合条件的研究的随机效应模型结果显示，与对照组相比，移动健康应用程序在增加身体活动方面的影响较小至中等（g = 0.42, 95% CI [0.1540, 0.6874]; p = 0.002）。个性化（p = 0.22）、社会特征（p = 0.12）和干预持续时间（p = 0.99）不能预测身体活动。然而，对步数的敏感性分析仅显示社会特征对步数的负影响（β=-0.50, p = 0.02）。结论：虽然移动健康干预措施增加了身体活动，但个性化特征并未显著影响其有效性。需要进一步的研究来阐明移动健康的社会特征和潜在的个体差异因素对干预效果的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Psychology & Health Multiple-

CiteScore

7.30

自引率

3.00%

发文量

期刊介绍： Psychology & Health promotes the study and application of psychological approaches to health and illness. The contents include work on psychological aspects of physical illness, treatment processes and recovery; psychosocial factors in the aetiology of physical illnesses; health attitudes and behaviour, including prevention; the individual-health care system interface particularly communication and psychologically-based interventions. The journal publishes original research, and accepts not only papers describing rigorous empirical work, including meta-analyses, but also those outlining new psychological approaches and interventions in health-related fields.