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移动健康研究在减肥、身体活动和久坐行为方面的应用:文献计量分析。

mHealth Research for Weight Loss, Physical Activity, and Sedentary Behavior: Bibliometric Analysis.

机构信息

Department of Exercise and Health Promotion, College of Kinesiology and Health, Chinese Culture University, Taipei, Taiwan.

Department of Healthcare Information and Management, School of Health Technology, Ming Chuan University, Taipei, Taiwan.

出版信息

J Med Internet Res. 2022 Jun 8;24(6):e35747. doi: 10.2196/35747.


DOI:10.2196/35747
PMID:35675126
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9218882/
Abstract

BACKGROUND: Research into mobile health (mHealth) technologies on weight loss, physical activity, and sedentary behavior has increased substantially over the last decade; however, no research has been published showing the research trend in this field. OBJECTIVE: The purpose of this study was to provide a dynamic and longitudinal bibliometric analysis of recent trends of mHealth research for weight loss, physical activity, and sedentary behavior. METHODS: A comprehensive search was conducted through Web of Science to retrieve all existing relevant documents published in English between January 1, 2010, and November 1, 2021. We developed appropriate research questions; based on the proven bibliometric approaches, a search strategy was formulated to screen the title for eligibility. Finally, we conducted bibliometric analyses to explore the growth rate of publications; publication patterns; and the most productive authors, institutions, and countries, and visualized the trends in the field using a keyword co-occurrence network. RESULTS: The initial search identified 8739 articles, of which 1035 were included in the analyses. Our findings show an exponential growth trend in the number of annual publications of mHealth technology research in these fields. JMIR mHealth and uHealth (n=214, 20.67%), Journal of Medical Internet Research (n=71, 6.86%), and BMC Public Health (n=36, 3.47%) were the top 3 journals, publishing higher numbers of articles. The United States remained the leading contributor in these areas (n=405, 39.13%), followed by Australia (n=154, 14.87%) and England (n=125, 12.07%). Among the universities, the University of Sydney (n=36, 3.47%) contributed the most mHealth technology research in these areas; however, Deakin University (n=25, 2.41%) and the National University of Singapore (n=23, 2.22%) were in the second and third positions, respectively. CONCLUSIONS: Although the number of papers published on mobile technologies for weight loss, physical activity, and sedentary behavior was initially low, there has been an overall increase in these areas in recent years. The findings of the study indicate that mobile apps and technologies have substantial potential to reduce weight, increase physical activity, and change sedentary behavior. Indeed, this study provides a useful overview of the publication trends and valuable guidance on future research directions and perspectives in this rapidly developing field.

摘要

背景:在过去的十年中,移动健康(mHealth)技术在减肥、身体活动和久坐行为方面的研究大幅增加;然而,尚无研究显示该领域的研究趋势。

目的:本研究旨在对减肥、身体活动和久坐行为的 mHealth 研究近期趋势进行动态和纵向的计量分析。

方法:通过 Web of Science 进行全面检索,检索 2010 年 1 月 1 日至 2021 年 11 月 1 日期间发表的所有相关英文文献。我们制定了适当的研究问题;根据经过验证的计量学方法,制定了搜索策略,以筛选标题的资格。最后,我们进行了计量学分析,以探索出版物增长率;出版模式;以及最有成效的作者、机构和国家,并使用关键词共现网络可视化该领域的趋势。

结果:初步搜索确定了 8739 篇文章,其中 1035 篇纳入分析。我们的研究结果表明,这些领域的 mHealth 技术研究的年度出版物数量呈指数增长趋势。JMIR mHealth and uHealth(n=214,20.67%)、Journal of Medical Internet Research(n=71,6.86%)和 BMC Public Health(n=36,3.47%)是发表文章数量最多的前 3 种期刊。美国仍然是这些领域的主要贡献者(n=405,39.13%),其次是澳大利亚(n=154,14.87%)和英国(n=125,12.07%)。在大学中,悉尼大学(n=36,3.47%)在这些领域的 mHealth 技术研究中贡献最多;然而,迪肯大学(n=25,2.41%)和新加坡国立大学(n=23,2.22%)分别位居第二和第三。

结论:尽管关于减肥、身体活动和久坐行为的移动技术的论文发表数量最初较低,但近年来这些领域的论文数量总体上有所增加。研究结果表明,移动应用程序和技术具有很大的潜力,可以减轻体重、增加身体活动和改变久坐行为。事实上,本研究提供了该快速发展领域的出版物趋势的有用概述,并为未来的研究方向和观点提供了有价值的指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6f8/9218882/3543cd1cb75f/jmir_v24i6e35747_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6f8/9218882/224875a2ae7a/jmir_v24i6e35747_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6f8/9218882/534a2dccfba3/jmir_v24i6e35747_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6f8/9218882/19ecb4c196cc/jmir_v24i6e35747_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6f8/9218882/7b94d66b1bb1/jmir_v24i6e35747_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6f8/9218882/3543cd1cb75f/jmir_v24i6e35747_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6f8/9218882/224875a2ae7a/jmir_v24i6e35747_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6f8/9218882/534a2dccfba3/jmir_v24i6e35747_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6f8/9218882/19ecb4c196cc/jmir_v24i6e35747_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6f8/9218882/7b94d66b1bb1/jmir_v24i6e35747_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6f8/9218882/3543cd1cb75f/jmir_v24i6e35747_fig5.jpg

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本文引用的文献

[1]
Promoting Physical Activity and Weight Loss With mHealth Interventions Among Workers: Systematic Review and Meta-analysis of Randomized Controlled Trials.

JMIR Mhealth Uhealth. 2022-1-21

[2]
Exploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis.

JMIR Mhealth Uhealth. 2021-9-8

[3]
The Value of Mobile Health in Improving Breastfeeding Outcomes Among Perinatal or Postpartum Women: Systematic Review and Meta-analysis of Randomized Controlled Trials.

JMIR Mhealth Uhealth. 2021-7-16

[4]
Demographics associated with US healthcare disparities are exacerbated by the telemedicine surge during the COVID-19 pandemic.

J Telemed Telecare. 2024-1

[5]
Efficacy of Mobile Health in Patients With Low Back Pain: Systematic Review and Meta-analysis of Randomized Controlled Trials.

JMIR Mhealth Uhealth. 2021-6-11

[6]
Trends in the prevalence of adult overweight and obesity in Australia, and its association with geographic remoteness.

Sci Rep. 2021-5-31

[7]
Examining the Impact of a Mobile Health App on Functional Movement and Physical Fitness: Pilot Pragmatic Randomized Controlled Trial.

JMIR Mhealth Uhealth. 2021-5-28

[8]
Application of Artificial Intelligence in COVID-19 Pandemic: Bibliometric Analysis.

Healthcare (Basel). 2021-4-9

[9]
Smartphone ownership and use of mental health applications by psychiatric inpatients.

Psychiatry Res. 2021-5

[10]
Effectiveness of Mobile Health-Based Exercise Interventions for Patients with Peripheral Artery Disease: Systematic Review and Meta-Analysis.

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