Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA.
Center for Nutrition and Health Research (CINyS), National Institute of Public Health (INSP), Cuernavaca, Morelos, Mexico.
Sci Rep. 2024 Mar 14;14(1):6174. doi: 10.1038/s41598-024-56761-4.
We developed a mobile application to promote healthy lifestyles and collect non-communicable disease (NCD) data in Mexico. Its theoretical foundations are supported by a framework-guided literature review. With design sprints, Scrum, Model-View-Controller, and Representational State Transfer architecture, we operationalized evidence-based nutrition/physical activity information into a crowdsourcing- and gamification-based application. The application was piloted for three months to monitor the response of 520 adults. Potential improvements were characterized, considering benchmarking, expert guidance, and standards. Salud Activa (English: Active Health) has two crowdsourcing modules: Nutritional scanner, scanning products' bar codes, providing nutritional data, and allowing new product registry feeding our databases; Surveys, comprising gradually-released NCD questions. Three intervention modules were generated: Drinks diary, a beverage assessment component to receive hydration recommendations; Step counter, monitoring users' steps via Google Fit/Health-iOS; Metabolic Avatar, interconnecting modules and changing as a function of beverage and step records. The 3-month median of Salud Activa use was seven days (IQR = 3-12), up to 35% of participants completed a Survey section, and 157 food products were registered through Nutritional scanner. Better customization might benefit usability and user engagement. Quantitative and qualitative data will enhance Salud Activa's design, user uptake, and efficacy in interventions delivered through this platform.
我们开发了一款移动应用程序,旨在促进健康的生活方式,并在墨西哥收集非传染性疾病(NCD)数据。其理论基础得到了框架指导文献综述的支持。通过设计冲刺、Scrum、模型视图控制器和表示状态传输架构,我们将基于证据的营养/体育活动信息转化为基于众包和游戏化的应用程序。该应用程序进行了为期三个月的试点,以监测 520 名成年人的反应。考虑到基准测试、专家指导和标准,对潜在的改进进行了描述。Salud Activa(英语:积极健康)有两个众包模块:营养扫描仪,扫描产品的条形码,提供营养数据,并允许新产品注册为我们的数据库提供信息;调查,包括逐步发布的 NCD 问题。生成了三个干预模块:饮料日记,评估饮料的组件,提供水合作用建议;计步器,通过 Google Fit/Health-iOS 监测用户的步数;新陈代谢化身,将模块互联并根据饮料和步数记录进行功能改变。Salud Activa 的使用中位数为 7 天(IQR = 3-12),高达 35%的参与者完成了调查部分,通过营养扫描仪注册了 157 种食品。更好的定制可能会提高可用性和用户参与度。定量和定性数据将增强 Salud Activa 的设计、用户参与度以及通过该平台进行干预的效果。