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探索孕期糖尿病风险较高的妇女在移动卫生干预中的参与模式
Signe B Bendsen1, Timothy C Skinner2, Sharleen L O'Reilly3
1Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark.
Women's health (London, England)
|June 5, 2025
概括
孕妇与孕期糖尿病的移动健康应用程序有不同的参与. 识别这些模式,如"平均年龄","进球者"和"沉浸者",是个性化数字健康干预的关键.
科学领域:
- 数字健康数字健康
- 个性化医疗是个性化的医疗.
- 行为科学 行为科学
背景情况:
- 孕期糖尿病 (GDM) 是一个全球性的妊娠健康问题.
- 行为改变干预措施有效降低了GDM风险.
- 移动健康 (mHealth) 干预提供个性化的医疗保健解决方案.
研究的目的:
- 探索使用Liva应用程序减少GDM风险的孕妇之间的各种参与模式.
- 在移动健康干预中识别不同的用户配置文件.
- 为孕妇量身定制的数字健康战略提供信息.
主要方法:
- 一个随机对照试验干预臂的回顾性分析.
- 利用了328名参与Liva mHealth生活方式指导计划的应用程序使用数据.
- 应用主要组件分析和高斯混合模型来识别参与集群.
主要成果:
- 确定了三个不同的参与集群:"平均者" (82%),"目标者"和"沉浸者".
- 集群与"教练特征"和"目标特征"的使用相关.
- "平均年轻人"对这两种特征类型的参与度均为中等.
结论:
- 尽管条件均,但个人对数字健康计划的参与度不同.
- 了解这些参与模式对于个性化妊娠支持和干预开发至关重要.
- 需要进一步的研究来验证在不同环境和怀孕阶段的发现.
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