在数字饮食干预中减少消耗的框架开发:系统审查和专题综合
Jian Wang1,2, Jinli Mahe1,2, Yujia Huo1,2
1The School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Journal of medical Internet research
|August 27, 2024
概括
数字饮食干预面临着很高的参与者学. 一个新的力量-资源模型解释了消耗是缺乏动力和资源,指导未来的干预设计,以改善参与和健康公平.
科学领域:
- 公共卫生与营养
- 数字健康干预措施 数字健康干预措施
- 行为科学 行为科学
背景情况:
- 饮食行为显著影响人口健康,不健康的饮食每年导致数百万人的死亡和大量的疾病负担.
- 数字饮食干预方案提供了可访问的解决方案,但其消耗率很高 (75%-99%),损害了有效性并加剧了健康差异.
- 了解和解决消耗对于数字健康战略的有效性至关重要.
研究的目的:
- 系统地审查数字饮食干预中消耗的文献.
- 确定消耗的原因并提出解决方案,整合行为理论概念.
- 开发一个理论框架,以指导更有效的干预设计和减少磨损.
主要方法:
- 2013-2023年间发表的研究的系统审查,元分析和专题综合.
- 搜索了7个电子数据库,包括PubMed,MEDLINE和科学网.
- 遵循PRISMA和ENTREQ的指导方针;使用RStudio进行元分析和NVivo进行合成.
主要成果:
- 在442项研究中,有21项研究符合纳入标准;平均消耗率在35% (对照) 到40% (观察) 之间,具有很高的异质性.
- 主题综合确定了与行为理论一致的15个主题,导致了力资源模型的发展.
- 力量-资源模型通过驱动力 (动机) 和支持资源的相互作用来解释消耗.
结论:
- 数字饮食干预措施的高消耗率源于动机不足和/或资源不足.
- 一种平衡的方法,动态整合动机组件与用户资源,对于干预成功至关重要.
- 建议包括用户友好设计,个性化适应,社会支持和动态后续行动,以加强参与和数字健康公平.
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