Boosting Physical Activity Among Individuals With Low Engagement Through Double-Point Incentives in a Community-Based mHealth Intervention: Retrospective Observational Study.

IF 6.2 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Jungin Joo, Mangyeong Lee, Junghee Yoon, Hyeonjin Cho, Govind Warrier, Johannes Thrul, Juhee Cho
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引用次数: 0

Abstract

Background: The administration of incentives to promote physical activity, such as the amount or timing, can vary depending on target health behaviors, research settings, intervention delivery channels, and participants' preferences. Interventions implemented at scale necessitate the consideration of potential fiscal constraints for public health promotion. Since limited funding is a barrier to implementing community-based interventions, examining both immediate and sustained effects of temporary incentive increases on physical activity is important.

Objective: This study aimed to evaluate the effect of a 1-week double-point event on increasing physical activity among low-engaged individuals in the context of a community-based mobile intervention.

Methods: Using retrospective data from a Seoul Metropolitan Government mobile health (mHealth) intervention, we evaluated the effects of a 1-week double-point incentive on participants' physical activity. During 3 registration phases from November to December 2021, a total of 50,145 individuals enrolled. Our analysis focused on the low-engaged group (n=27,833, 55.5%), who averaged fewer than 3 days per week of meeting the daily step challenge (at least 7000 steps) before the intervention. We performed a segmented regression analysis to assess changes in physical activity before and after the event. Multivariable logistic regression and Cox proportional hazards models were used to identify factors associated with improving and maintaining physical activity after starting the intervention.

Results: Of 27,833 low-engaged participants, only 13.7% (n=3835) improved their physical activity. Daily challenge engagements per week increased by 2.53 times, and average daily steps increased by 1924.97 (standardized mean difference 0.55, 95% CI 0.51-0.58). In multivariable logistic regression, older age was significantly associated with improved physical activity immediately after starting the intervention. However, 50% (1918/3835) of the improved group was likely to return to low engagement 3 weeks after the intervention ended. Older age and use of certain wearable devices were associated with maintaining physical activity after the intervention.

Conclusions: Double-point incentives in the short term may serve as a cue-to-action to motivate low-engagement targets; however, they do not seem to guarantee long-term maintenance in the context of community-based mHealth interventions. Further research is needed to identify additional strategies beyond monetary incentives to sustain long-term healthy behavior.

Abstract Image

Abstract Image

在基于社区的移动医疗干预中,通过双点激励促进低参与度个体的身体活动:回顾性观察研究
背景:促进身体活动的激励管理,如数量或时间,可以根据目标健康行为、研究环境、干预提供渠道和参与者的偏好而变化。大规模实施的干预措施需要考虑公共卫生促进方面潜在的财政限制。由于资金有限是实施以社区为基础的干预措施的一个障碍,因此审查暂时增加激励措施对身体活动的直接和持续影响是很重要的。目的:本研究旨在评估在社区移动干预的背景下,为期1周的双点事件对低参与度个体增加身体活动的影响。方法:使用来自首尔市政府移动健康(mHealth)干预的回顾性数据,我们评估了为期一周的双点激励对参与者身体活动的影响。在2021年11月至12月的三个注册阶段,共有50,145人注册。我们的分析集中在低参与度组(n=27,833, 55.5%),他们在干预前平均每周少于3天完成每日步数挑战(至少7000步)。我们进行了分段回归分析,以评估事件前后身体活动的变化。采用多变量logistic回归和Cox比例风险模型来确定干预开始后改善和维持身体活动的相关因素。结果:在27,833名低参与度参与者中,只有13.7% (n=3835)改善了他们的体育活动。每周的每日挑战增加了2.53倍,平均每日步数增加了1924.97(标准化平均差为0.55,95% CI为0.51-0.58)。在多变量logistic回归中,年龄较大与干预开始后立即改善身体活动显著相关。然而,50%(1918/3835)的改善组在干预结束3周后可能回到低参与度。老年和某些可穿戴设备的使用与干预后保持身体活动有关。结论:短期内双积分激励可以作为激励低参与度目标的行动线索;然而,在以社区为基础的移动医疗干预措施的背景下,它们似乎不能保证长期维持。需要进一步的研究来确定除了金钱激励之外的其他策略来维持长期的健康行为。
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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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