调查基于智能手机应用程序的干预后饮食障碍症状网络结构的变化
Jake Linardon1,2, Christopher J Greenwood1,2,3, Stephanie Aarsman1,2
1School of Psychology, Deakin University, Geelong, Victoria, Australia.
Psychological medicine
|April 8, 2024
概括
饮食障碍研究中的网络理论需要一致的研究设计. 这项研究发现,特定症状的变化,而不是整体网络的变化,在暴饮暴食应用程序试验中表明干预成功.
科学领域:
- 心理病理学 心理病理学
- 网络科学 网络科学
- 数字健康干预措施 数字健康干预措施
背景情况:
- 饮食障碍 (ED) 研究越来越多地使用网络视角,将障碍视为相互作用的症状.
- 以前的干预措施未能显示症状减少与网络关联变化保持一致.
- 网络理论与研究设计/分析之间的错位可能解释了这些失败.
研究的目的:
- 假设特定的症状关联被基于应用程序的干预干扰过度饮食.
- 测试统计指标在检测干预引起的网络中断时的灵敏度.
- 改善网络理论与干预性研究设计之间的协调.
主要方法:
- 来自一项针对经常性暴饮暴食的认知行为智能手机应用的随机对照试验的数据分析.
- 将参与者分为等待名单,干预响应者和非响应者组.
- 统计测试的比较 (双变量相关性,网络强度统计,不变性测试) 用于识别网络结构变化.
主要成果:
- 在响应者中通过双变异相关性观察到特定症状关联的破坏.
- 网络分析统计没有揭示这些变化,当异质性被忽视时,掩盖效应.
- 干预效应在响应者中是明显的,但在整体干预组中是掩盖的.
结论:
- 研究设计和分析极大地影响了测试网络理论预测的能力.
- 未来的网络理论驱动的干预研究需要仔细考虑分析方法.
- 提供了关于优化未来饮食障碍干预研究的建议.
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