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健康动机作为mHealth参与度的预测者 跨BMI:跨部门调查
Shao-Hsuan Chang1,2, Lung-Kun Yeh2,3, Daishi Chen4
1Department of Biomedical Engineering, Chang Gung University, Taoyuan, Taiwan.
JMIR mHealth and uHealth
|December 1, 2025
概括
较高的BMI与使用数字健康工具的频率较低有关,健康动机是参与的关键驱动因素. 应用程序中的个性化医疗记录可以提高动机,并改善高BMI的人的健康行为.
科学领域:
- 数字健康数字健康
- 行为科学 行为科学
- 公共卫生 公共卫生
背景情况:
- 数字健康工具对于自我管理健康行为很普遍,但显示出不一致的用户参与度,特别是在不同的身体质量指数 (BMI) 组中.
- 了解心理因素,行为模式和BMI之间的相互作用对于优化数字健康技术采用至关重要.
研究的目的:
- 调查BMI与数字健康技术的使用之间的关联.
- 确定健康意识,自我效能和健康动机对用户使用数字健康工具的参与的影响.
主要方法:
- 在2024年1月至4月期间,对184名参与者进行了一项横截面在线调查.
- 数据采集使用5点利克特量表问卷,并通过描述性统计,奇平方测试和多重回归分析进行分析.
主要成果:
- 在较高的BMI和使用移动应用程序的频率之间发现了负相关性 (P=.02).
- 健康动机成为数字健康工具参与的重要预测因素 (P<.001),而健康意识,生活方式和自我效能并没有显著的预测能力.
- 体重指数较高的参与者报告数字健康工具使用频率较低.
结论:
- 体重指数较高的人往往不经常使用数字健康工具,这可能与健康动机较低有关.
- 健康动机是影响数字健康技术参与的最重要因素.
- 在数字健康应用程序中个性化医疗记录可能会提高用户的动力,促进更健康的行为,特别是对于BMI较高的人来说.
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