Smartphone-based Digital Phenotyping to Detect High-risk Affect States in Body Dysmorphic Disorder (BDD)
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 87
- 试验地点
- 1
- 主要终点
- Self-reported anxiety intensity, rated from 1 (very slightly or not at all) to 5 (extremely)
研究概览
简要总结
Body dysmorphic disorder (BDD) is associated with high risk for suicide attempts (22-28%) and substance use disorders (49%), underscoring the importance of accurate, real-time risk detection in BDD. This study aims to use smartphone-based digital phenotyping to develop and validate unobtrusive, time-sensitive, and ecologically valid measures of key risk factors for suicide and substance misuse in BDD: negative affect states. As next steps, this research can be extended to detect risk transdiagnostically, with the goal of enabling just-in-time interventions to target suicide and substance misuse across psychiatric illnesses.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Adults age >=18
- •Current primary diagnosis of BDD
- •BDD severity >= moderate
- •Living in US
- •English proficiency
- •Owns an Android or iOS (Apple) smartphone
- •Has regular Wifi-enabled internet access for data downloads
排除标准
- 未提供
结局指标
主要结局
Self-reported anxiety intensity, rated from 1 (very slightly or not at all) to 5 (extremely)
时间窗: 3 months
Ecological momentary assessment (EMA) of anxiety intensity, where higher scores indicated more severe anxiety.
Self-reported shame intensity, based on Positive and negative affect scale (PANAS) shame item, rated from 1 (very slightly or not at all) to 5 (extremely)
时间窗: 3 months
Ecological momentary assessment (EMA) of shame intensity, where higher scores indicate more severe shame.
Self-reported negative affect intensity, based on Positive and negative affect scale (PANAS) negative affect items (averaged), rated from 1 (very slightly or not at all) to 5 (extremely)
时间窗: 3 months
Ecological momentary assessment (EMA)-rated general negative affect intensity, where higher scores indicate more severe negative affect.
次要结局
未报告次要终点
研究者
Hilary Weingarden
Psychologist
Massachusetts General Hospital