在基于网络的计算机定制的体育活动干预中,干预参与是否调解了体育活动的变化?-随机对照试验的二次结果
Corneel Vandelanotte1, Camille E Short2, Ronald C Plotnikoff3
1Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, QLD, Australia.
Frontiers in digital health
|June 5, 2024
概括
综合参与评分显示,在基于网络的干预中,对体育活动变化的积极影响很小. 其他因素,如行为改变技术,对于持续的行为改变可能更为关键.
科学领域:
- 健康行为研究研究健康行为研究
- 数字健康干预措施 数字健康干预措施
- 促进体育活动促进体育活动
背景情况:
- 干预参与度指标对于理解行为变化至关重要.
- 综合参与度提供了比单个指标更深入的见解.
- 很少有研究在基于网络的干预中使用多维参与度指标.
研究的目的:
- 分析复合参与度评分如何调解基于网络,计算机定制的体育活动干预措施的有效性.
- 探索多维参与和身体活动变化之间的关系.
- 在3个月和9个月的随访中评估调解效应.
主要方法:
- 从501名不活动的澳大利亚成年人随机对照试验 (RCT) 数据的二次分析.
- 干预组在12周内接受了个性化的体育活动建议.
- 通过网站跟踪评估的复合参与 (频率,强度,持续时间,类型);用加速度计测量的体力活动.
主要成果:
- 干预组3个月后的综合参与得分更高 (a-path exp(b) =6.462).
- 3个月后,增加的参与与中度至强度的体力活动相关 (ab系数exp (b) =1.008),尽管影响很小.
- 在9个月的时间点上没有观察到显著的调解效应.
结论:
- 复合参与度得分对体育活动有很小的积极影响.
- 其他因素,如行为改变技术,可能是持续行为改变的更重要的驱动因素.
- 该研究强调了参与的复杂性及其在数字健康干预中的作用.
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