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一款促进健康老龄化的数字健康应用程序(SingaporeWALK)的设计与评估:干预前后研究

Design and Evaluation of a Digital Health App (SingaporeWALK) for Active Aging: Pre-Post Intervention Study.

作者信息

Bao Huanyu, Siva Subramanian Sowmiya Meena, Pai Sai Ganesh Sarvotham, Singh Navrag B, Tan Kai Zhe, Pham Tan Phat, Pan Feihong, Theng Yin-Leng, Lee Edmund

机构信息

Department of Media & Communication, City University of Hong Kong, M5010, 5/F Run Run Shaw Creative Media Centre, 18 Tat Hong Avenue, Hong Kong, China (Hong Kong), 852 34428868.

Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore, Singapore.

出版信息

JMIR Form Res. 2025 Aug 22;9:e68937. doi: 10.2196/68937.

Abstract

BACKGROUND

The global trend toward population aging poses significant challenges for maintaining older adults' health and well-being, particularly in multicultural urban environments like Singapore. Despite the potential of digital health interventions, older adults face substantial barriers to technology adoption, including complex interfaces and culturally inappropriate content. Existing mobile health apps often fail to integrate physical, nutritional, and mental health components or accommodate the needs of multicultural older adult populations.

OBJECTIVE

To address gaps in mobile app design for older adults and bridge the digital divide, this research aimed to create and evaluate the SingaporeWALK (SGWALK) app, a culturally inclusive digital health solution promoting active aging through community-based interventions among Singapore's older adults.

METHODS

The SGWALK app was developed using participatory design methodology involving iterative testing with older adults to ensure appropriateness and usability. The app integrates 3 core components: exergames (Fruit Ninja, Piano Step, and Arctic Punch) aligned with Singapore's exercise guidelines for older adults, nutrition tracking based on local dietary recommendations, and mental well-being assessment using the Mental Health Continuum-Short Form. Following development, a 4-week pre-post intervention study was conducted with 48 participants (aged 60-85 y) randomly allocated to 4 conditions: conventional exercise, exergames only, exergames with health coach support, or exergames with peer support. In total, 5 wearable inertial measurement unit sensors captured movement data during weekly 30-minute supervised sessions at community centers. Primary outcomes included changes in physical activity metrics, technology acceptance, and mental well-being measured through pre- and postintervention assessments.

RESULTS

The 4-week intervention demonstrated significant improvements across multiple health domains. Physical activity measures showed a 6.5% increase in maximum acceleration (t47=3.82, P<.001), while nutritional tracking revealed steady improvements in healthy eating patterns throughout the intervention period. Mental health assessments indicated that participants classified as "mentally well" consistently outperformed the "moderate" group across physical activity measures. Technology acceptance showed substantial enhancement, with willingness to use health apps increasing from mean 3.18 (SD .79) to mean 3.95 (SD .82; t29=-3.63, P<.001), and perceived ease of use improving from mean 3.01 (SD .70) to mean 3.76 (SD .68; t29=-4.08, P<.001). Additionally, participants developed more efficient movement patterns over time and formed supportive social relationships during the community-based implementation.

CONCLUSIONS

The SGWALK app shows promise for promoting active aging and reducing technology barriers among Singapore's older adults. The community-based implementation model, bilingual interface, integrated health monitoring approach, and sensor-based movement tracking offer potential advantages over existing solutions. These findings provide useful insights for researchers and practitioners developing digital health interventions for older adult populations in multicultural urban settings.

摘要

背景

全球人口老龄化趋势给维持老年人的健康和福祉带来了重大挑战,尤其是在像新加坡这样的多元文化城市环境中。尽管数字健康干预措施具有潜力,但老年人在采用技术方面面临重大障碍,包括复杂的界面和不符合文化背景的内容。现有的移动健康应用程序往往未能整合身体、营养和心理健康成分,也无法满足多元文化老年人群体的需求。

目的

为了解决针对老年人的移动应用程序设计中的差距并弥合数字鸿沟,本研究旨在创建并评估新加坡步行(SGWALK)应用程序,这是一种具有文化包容性的数字健康解决方案,通过在新加坡老年人中开展基于社区的干预措施来促进积极老龄化。

方法

SGWALK应用程序采用参与式设计方法开发,包括与老年人进行迭代测试以确保适用性和可用性。该应用程序整合了3个核心组件:与新加坡老年人运动指南相符的健身游戏(水果忍者、钢琴步和北极拳)、基于当地饮食建议的营养追踪以及使用心理健康连续体简表进行的心理健康评估。开发完成后,对48名参与者(年龄60 - 85岁)进行了为期4周的干预前后研究,这些参与者被随机分配到4种情况:传统运动、仅健身游戏、有健康教练支持的健身游戏或有同伴支持的健身游戏。总共5个可穿戴惯性测量单元传感器在社区中心每周30分钟的监督课程期间捕获运动数据。主要结果包括通过干预前后评估测量的身体活动指标、技术接受度和心理健康的变化。

结果

为期4周的干预在多个健康领域显示出显著改善。身体活动测量显示最大加速度增加了6.5%(t47 = 3.82,P <.001),而营养追踪显示在整个干预期内健康饮食模式稳步改善。心理健康评估表明,被归类为“心理健康”的参与者在身体活动测量方面始终优于“中等”组。技术接受度有显著提高,使用健康应用程序的意愿从平均3.18(标准差0.79)提高到平均3.95(标准差0.82;t29 = -3.63,P <.001),感知易用性从平均3.01(标准差0.70)提高到平均3.76(标准差0.68;t29 = -4.08,P <.001)。此外,随着时间的推移,参与者形成了更有效的运动模式,并在基于社区的实施过程中建立了支持性的社会关系。

结论

SGWALK应用程序在促进新加坡老年人积极老龄化和减少技术障碍方面显示出前景。基于社区的实施模式、双语界面、综合健康监测方法以及基于传感器的运动追踪比现有解决方案具有潜在优势。这些发现为在多元文化城市环境中为老年人群体开发数字健康干预措施的研究人员和从业者提供了有用的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35c6/12373411/6e51648d4baa/formative-v9-e68937-g001.jpg

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