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评估成功支持减肥的数字干预措施的方面:通过组件网络元分析进行系统审查
Michael Nunns1, Samantha Febrey1, Rebecca Abbott1,2
1Isca Evidence, University of Exeter Medical School, Faculty of Health & Life Sciences, University of Exeter, Exeter, United Kingdom.
Journal of medical Internet research
|May 22, 2025
概括
当将患者信息,专家联系和激励相结合时,数字减肥干预最有效. 这些关键成分显示出支持成年人成功控制体重的前景.
科学领域:
- 肥胖研究的研究.
- 数字健康干预措施 数字健康干预措施
- 体重管理策略 体重管理策略
背景情况:
- 肥胖是一种复杂的慢性疾病,具有重大健康风险.
- 数字技术为基于社区的减肥支持提供了潜力.
- 对于减肥的特定数字组件的有效性仍然不清楚.
研究的目的:
- 确定减肥干预措施的有效数字支持组件.
- 进行系统审查和组件网络元分析.
- 为了确定哪些数字功能最能支持患者的减肥目标.
主要方法:
- 随机对照试验 (RCT) 的系统审查和组件网络元分析.
- 在多个数据库 (MEDLINE,Embase,PsycInfo,Cochrane) 进行搜索,截至2023年11月.
- 根据相关性,持续时间和人群优先考虑RCT;从68个试验中分析了151个试验臂.
主要成果:
- 确定了九个数字组件:信息,目标设定,反,同行支持,提醒,挑战,专家联系,自我监控和激励.
- 患者信息,专家联系和激励措施被确定为减肥的"最佳选择".
- 这三种成分的组合与6个月和12个月的体重减轻有显著的关联.
结论:
- 数字减肥干预措施需要在核心组件周围精心设计.
- 没有单一的数字组件是必不可少的,但组合是关键.
- 进一步研究将信息,专家联系和激励结合在一起是有必要的.
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