使用eHealth和mHealth促进饮食行为的行为改变技术的比较影响:系统审查和组件网络元分析的协议
Takafumi Fukuda1,2, Nozomi Matsuura2, Hisashi Noma3
1Department of Health Data Science, Yokohama City University, Yokohama, Kanagawa, Japan.
BMJ open
|October 16, 2024
概括
本系统性审查确定了数字健康干预措施中的有效行为改变技术 (BCT),以改善健康饮食习惯. 它对BCT进行了排名,以指导未来的公共卫生战略.
科学领域:
- 公共卫生 公共卫生
- 数字健康干预措施 数字健康干预措施
- 改变行为技巧 改变行为技巧
背景情况:
- 饮食习惯显著影响全球成年人死亡率和残疾.
- 尽管已知有好处,但采用健康饮食来预防疾病仍然是许多人的挑战.
- 电子健康和mHealth干预措施显示出促进饮食行为改变的前景.
研究的目的:
- 系统地审查和分析在电子健康和移动健康干预中使用的各种行为改变技术 (BCT) 的有效性.
- 估计个别BCT在促进健康饮食行为的效果大小.
- 根据BCT在促进健康饮食模式方面的有效性来对BCT进行排名.
主要方法:
- 随机对照试验的系统审查和组件网络元分析 (CNMA).
- 包括关于eHealth/mHealth干预措施的研究,促进健康成年人的饮食变化,至少进行3周的随访.
- 使用频率主义随机效应模型进行对联和网络元分析的数据合成.
主要成果:
- 该研究将量化每个BCT对饮食行为的影响大小.
- 它将确定不同BCT的有益和有害影响.
- 将根据直接和间接证据提供BCT的排名.
结论:
- 这项研究将确定哪些特定的行为改变技术在改善饮食的数字健康干预中最有效.
- 调查结果将为设计更有效的公共卫生电子健康和移动健康战略提供信息.
- 该研究提供了基于证据的建议,以优化饮食行为改变干预措施.
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