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移动健康和远程医疗干预措施以增加肥胖青少年的身体活动:一种吸引难以接触人群的有前途的方法。

Mobile Health and Telehealth Interventions to Increase Physical Activity in Adolescents with Obesity: a Promising Approach to Engaging a Hard-to-Reach Population.

机构信息

Division of Pediatric Endocrinology, Diabetes, and Metabolism, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, 4401 Penn Ave, Faculty Pavilion, 6th Floor, PA, 15224, Pittsburgh, USA.

Center for Pediatric Research in Obesity and Metabolism, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

出版信息

Curr Obes Rep. 2021 Dec;10(4):444-452. doi: 10.1007/s13679-021-00456-8. Epub 2021 Oct 1.

Abstract

PURPOSE OF REVIEW

Adolescence represents a critical time to set habits for long-term health, yet adequate rates of physical activity are uncommon in this age group. Mobile technology use, however, is ubiquitous. We review advantages and challenges posed by mobile health (mHealth) and telehealth-based physical activity interventions aimed at adolescents.

RECENT FINDINGS

Mobile Health (mHealth) and telehealth interventions to increase physical activity in adolescents include use of wearable activity trackers, text messages or apps, and video visits with exercise specialists. Definitions and goals for physical activity differ across interventions, and methods of activity measurement also vary. User engagement is often poor, if tracked at all. No identified studies included use of behavioral economics-informed engagement strategies. Intervention designers must plan for ways to maximize engagement and to reliably measure the intended outcome. Although mHealth and telehealth interventions have advantages such as scalability and acceptability, potential pitfalls must be addressed before widespread implementation.

摘要

目的综述:青春期是养成长期健康习惯的关键时期,但在这一年龄段,身体活动的充分率并不常见。然而,移动技术的使用却无处不在。我们回顾了以青少年为目标的基于移动健康(mHealth)和远程医疗的身体活动干预措施所带来的优势和挑战。

最新发现:提高青少年身体活动的移动健康(mHealth)和远程医疗干预措施包括使用可穿戴活动追踪器、短信或应用程序,以及与运动专家进行视频访问。不同的干预措施对身体活动的定义和目标不同,活动测量方法也不同。如果进行跟踪的话,用户参与度往往很差。没有确定的研究包括使用行为经济学启发的参与策略。干预设计者必须计划如何最大限度地提高参与度,并可靠地衡量预期结果。尽管 mHealth 和远程医疗干预措施具有可扩展性和可接受性等优势,但在广泛实施之前,必须解决潜在的陷阱。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a76/8485573/1e8fbdb23fd9/13679_2021_456_Fig1_HTML.jpg

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