Introduction: The Canadian Guidelines recommend physical activity for overall health benefits, including cognitive, emotional, functional, and physical health. However, traditional research methods are inefficient and outdated. This paper aims to guide researchers in enhancing their research methods using software development kits and wearable smart devices. Methods: A generic model application was transformed into a research-based mobile application based on the UCLA researchers who collaborated with Apple. First, the research question and goals were identified. Then, three open-source software development kits (SDKs) were used to modify the generic model into the desired application. ResearchKit was used for informed consent, surveys, and active tasks. CareKit was the protocol manager to create participant protocols and track progress. Finally, HealthKit was used to access and share health-related data. The content expert evaluated the application, and the participant experience was optimized for easy use. The collected health-related data were analyzed to identify any significant findings. Results: Wearable health devices offer a convenient and non-invasive way to monitor and track health-related information. Conclusion: Leveraging the data provided by wearable devices, researchers can gain insights into the effectiveness of interventions and inform the development of evidence-based physical activity guidelines. The use of software development kits and wearable devices can enhance research methods and provide valuable insights into overall health benefits.

翻译：引言：加拿大指南推荐通过体育活动获得整体健康益处，包括认知、情绪、功能及身体健康。然而，传统研究方法效率低下且过时。本文旨在指导研究者利用软件开发工具包和智能可穿戴设备改进研究方法。方法：基于加州大学洛杉矶分校研究人员与苹果公司的合作，将通用模型应用转化为研究型移动应用。首先明确研究问题和目标，随后使用三个开源软件开发工具包（SDKs）对通用模型进行修改。ResearchKit用于知情同意、调查问卷和主动任务；CareKit作为方案管理器创建参与者方案并跟踪进度；HealthKit用于获取和共享健康相关数据。内容专家对应用进行评估，并优化参与者体验以确保易用性。对收集的健康相关数据进行分析以发现显著结果。结果：可穿戴健康设备为监测和跟踪健康信息提供了便捷、非侵入性的方式。结论：利用可穿戴设备提供的数据，研究者可洞察干预措施的有效性，并为制定基于证据的体育活动指南提供依据。使用软件开发工具包和可穿戴设备能够提升研究方法，为整体健康益处提供有价值的见解。