Effectiveness of Digital Health Interventions in Promoting Physical Activity Among College Students: Systematic Review and Meta-Analysis.

IF 5.8 2区医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Medical Internet Research Pub Date : 2024-11-20 DOI:10.2196/51714

Siyuan Bi, Junfeng Yuan, Yanling Wang, Wenxin Zhang, Luqin Zhang, Yongjuan Zhang, Rui Zhu, Lin Luo

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Abstract

Background: Recent studies offer conflicting conclusions about the effectiveness of digital health interventions in changing physical activity behaviors. In addition, research focusing on digital health interventions for college students remains relatively scarce.

Objective: This study aims to examine the impact of digital health interventions on physical activity behaviors among college students, using objective measures as outcome indicators.

Methods: In accordance with the 2020 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a comprehensive literature search was conducted across several databases, including MEDLINE (PubMed), Web of Science, Cochrane Library, and EBSCO (CINAHL Plus with full text), to identify relevant intervention studies published up to June 6, 2023. The inclusion criteria specified studies that examined the quantitative relationships between digital health interventions and physical activity among adults aged 18 years to 29 years, focusing on light physical activity (LPA), moderate to vigorous physical activity (MVPA), sedentary time (ST), or steps. Non-randomized controlled trials were excluded. The quality of the studies was assessed using the Cochrane Risk of Bias tool. Results were synthesized both narratively and quantitatively, where applicable. When sufficient homogeneity was found among studies, a random-effects model was used for meta-analysis to account for variability.

Results: In total, 8 studies, encompassing 569 participants, were included in the analysis. The primary outcomes measured were LPA, MVPA, ST, and steps. Among these studies, 3 reported on LPA, 5 on MVPA, 5 on ST, and 3 on steps. The meta-analysis revealed a significant increase in steps for the intervention group compared with the control group (standardized mean difference [SMD] 0.64, 95% CI 0.37-0.92; P<.001). However, no significant differences were observed between the intervention and control groups regarding LPA (SMD -0.08, 95% CI -0.32 to 0.16; P=.51), MVPA (SMD 0.02, 95% CI -0.19 to 0.22; P=.88), and ST (SMD 0.03, 95% CI -0.18 to 0.24; P=.78).

Conclusions: Digital health interventions are effective in increasing steps among college students; however, their effects on LPA, MVPA, and sedentary behavior are limited.

Trial registration: PROSPERO CRD42024533180; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=533180.

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数字健康干预对促进大学生体育锻炼的效果：系统回顾与元分析》。

背景：最近的研究对数字健康干预措施在改变体育锻炼行为方面的效果得出了相互矛盾的结论。此外，针对大学生的数字健康干预研究仍然相对较少：本研究旨在以客观指标作为结果指标，考察数字健康干预对大学生体育锻炼行为的影响：根据 2020 年 PRISMA（系统综述和元分析首选报告项目）指南，我们在多个数据库中进行了全面的文献检索，包括 MEDLINE (PubMed)、Web of Science、Cochrane Library 和 EBSCO (CINAHL Plus with full text)，以确定截至 2023 年 6 月 6 日发表的相关干预研究。纳入标准规定了研究数字健康干预措施与 18 岁至 29 岁成年人身体活动之间定量关系的研究，重点关注轻度身体活动 (LPA)、中度至剧烈身体活动 (MVPA)、久坐时间 (ST) 或步数。非随机对照试验被排除在外。研究质量采用 Cochrane 偏倚风险工具进行评估。在适当的情况下，对结果进行叙述性和定量综合。如果发现研究之间存在足够的同质性，则采用随机效应模型进行荟萃分析，以考虑变异性：共有 8 项研究纳入分析，涉及 569 名参与者。测量的主要结果为 LPA、MVPA、ST 和步数。在这些研究中，3 项报告了 LPA，5 项报告了 MVPA，5 项报告了 ST，3 项报告了步数。荟萃分析表明，与对照组相比，干预组的步数显著增加（标准化平均差 [SMD] 0.64，95% CI 0.37-0.92；PC 结论：数字健康干预能有效增加步数：数字健康干预措施能有效增加大学生的步数，但其对LPA、MVPA和久坐行为的影响有限：ProCORD42024533180; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=533180.

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来源期刊

Journal of Medical Internet Research 医学-卫生保健

CiteScore

14.40

自引率

5.40%

发文量

654

审稿时长

1 months

期刊介绍： The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.