Suppr超能文献

一项旨在增加老年女性身体活动的社交媒体游戏:评估 CHALLENGE 的随机对照试验方案。

A social media game to increase physical activity among older adult women: protocol of a randomized controlled trial to evaluate CHALLENGE.

机构信息

Department of Nutrition Sciences and Health Behavior, The University of Texas Medical Branch, 301 University Blvd, Galveston, TX, 77555-0177, USA.

Department of Family and Preventive Medicine, TSET Health Promotion Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.

出版信息

BMC Public Health. 2024 Aug 12;24(1):2172. doi: 10.1186/s12889-024-19662-9.

Abstract

BACKGROUND

Older adult women often do not engage in sufficient physical activity (PA) and can encounter biological changes that exacerbate the negative effects of inadequate activity. Wearable activity monitors can facilitate PA initiation, but evidence of sustained behavior change is lacking. Supplementing wearable technologies with intervention content that evokes enjoyment, interest, meaning, and personal values associated with PA may support long term adherence. In this paper, we present the protocol of an NIA-funded study designed to evaluate the efficacy of CHALLENGE for increasing step count and motivation for PA in insufficiently active older women (Challenges for Healthy Aging: Leveraging Limits for Engaging Networked Game-based Exercise). CHALLENGE uses social media to supplement wearable activity monitors with the autonomy-supportive frame of a game. We hypothesize that CHALLENGE will engender playful experiences that will improve motivation for exercise and lead to sustained increases in step count.

METHODS

We will recruit 300 healthy, community dwelling older adult women on a rolling basis and randomize them to receive either the CHALLENGE intervention (experimental arm) or an activity monitor-only intervention (comparison arm). Participants in both groups will receive a wearable activity monitor and personalized weekly feedback emails. In the experimental group, participants will also be added to a private Facebook group, where study staff will post weekly challenges that are designed to elicit playful experiences while walking. Assessments at baseline and 6, 12, and 18 months will measure PA and motivation-related constructs. We will fit linear mixed-effects models to evaluate differences in step count and motivational constructs, and longitudinal mediation models to evaluate if interventional effects are mediated by changes in motivation. We will also conduct thematic content analysis of text and photos posted to Facebook and transcripts from individual interviews.

DISCUSSION

By taking part in a year-long intervention centered on imbuing walking behaviors with playful and celebratory experiences, participating older adult women may internalize changes to their identity and relationship with PA that facilitate sustained behavior change. Study results will have implications for how we can harness powerful and increasingly ubiquitous technologies for health promotion to the vast and growing population of older adults in the U.S. and abroad.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier NCT04095923. Registered September 17th, 2019.

摘要

背景

老年女性通常没有进行足够的身体活动(PA),并且可能会遇到加剧活动不足负面影响的生理变化。可穿戴活动监测器可以促进 PA 的开始,但缺乏持续行为改变的证据。通过补充与 PA 相关的乐趣、兴趣、意义和个人价值观相关的干预内容,可穿戴技术可以支持长期坚持。在本文中,我们介绍了一项由 NIA 资助的研究的方案,该研究旨在评估 CHALLENGE(通过利用限制来激发基于网络的锻炼的参与)提高活动不足的老年女性的步数和 PA 动机的功效。CHALLENGE 使用社交媒体为可穿戴活动监测器提供游戏的自主支持框架。我们假设 CHALLENGE 将产生有趣的体验,从而提高锻炼的动力,并导致步数的持续增加。

方法

我们将按滚动方式招募 300 名健康的社区居住的老年女性,并将她们随机分配到接受 CHALLENGE 干预(实验组)或仅活动监测器干预(对照组)。两组参与者都将收到一个可穿戴活动监测器和个性化的每周反馈电子邮件。在实验组中,参与者还将被添加到一个私人 Facebook 群组中,研究人员将在该群组中每周发布挑战,旨在在行走时引起有趣的体验。基线和 6、12 和 18 个月的评估将测量 PA 和与动机相关的结构。我们将拟合线性混合效应模型来评估步数和动机结构的差异,并进行纵向中介模型来评估干预效果是否通过动机的变化来介导。我们还将对 Facebook 上发布的文本和照片以及个人访谈的文字记录进行主题内容分析。

讨论

通过参与以赋予步行行为以趣味性和庆祝性体验为中心的为期一年的干预,参与的老年女性可能会内化其身份和与 PA 的关系的变化,从而促进持续的行为改变。研究结果将对我们如何利用强大且日益普及的技术来促进美国和国外庞大且不断增长的老年人群体的健康产生影响。

试验注册

ClinicalTrials.gov 标识符 NCT04095923。注册于 2019 年 9 月 17 日。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d0d/11318238/306414781844/12889_2024_19662_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验