Expecting the Unexpected: Predicting Panic Attacks From Mood, Twitter, and Apple Watch Data

IF 2.7 Q3 ENGINEERING, BIOMEDICAL
Ellen W. McGinnis;Bryn Loftness;Shania Lunna;Isabel Berman;Skylar Bagdon;Genevieve Lewis;Michael Arnold;Christopher M. Danforth;Peter S. Dodds;Matthew Price;William E. Copeland;Ryan S. McGinnis
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引用次数: 0

Abstract

Objective: Panic attacks are an impairing mental health problem that affects 11% of adults every year. Current criteria describe them as occurring without warning, despite evidence suggesting individuals can often identify attack triggers. We aimed to prospectively explore qualitative and quantitative factors associated with the onset of panic attacks. Results: Of 87 participants, 95% retrospectively identified a trigger for their panic attacks. Worse individually reported mood and state-level mood, as indicated by Twitter ratings, were related to greater likelihood of next-day panic attack. In a subsample of participants who uploaded their wearable sensor data (n = 32), louder ambient noise and higher resting heart rate were related to greater likelihood of next-day panic attack. Conclusions: These promising results suggest that individuals who experience panic attacks may be able to anticipate their next attack which could be used to inform future prevention and intervention efforts.
期待意外:从情绪、推特和 Apple Watch 数据预测恐慌症发作
目的:恐慌症发作是一种有损心理健康的问题,每年影响 11% 的成年人。尽管有证据表明患者通常能识别恐慌症发作的诱因,但目前的标准认为恐慌症发作时毫无征兆。我们旨在前瞻性地探讨与恐慌症发作相关的定性和定量因素。结果:在 87 名参与者中,95% 的人回顾性地指出了恐慌症发作的诱因。推特评分所显示的个人报告的较差情绪和状态级情绪与第二天恐慌发作的可能性有关。在上传了可穿戴传感器数据的参与者子样本(n = 32)中,环境噪声越大、静息心率越高,第二天恐慌发作的可能性就越大。结论这些令人鼓舞的结果表明,经历过恐慌症发作的人可能能够预知他们的下一次发作,这可以为未来的预防和干预工作提供依据。
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来源期刊
CiteScore
9.50
自引率
3.40%
发文量
20
审稿时长
10 weeks
期刊介绍: The IEEE Open Journal of Engineering in Medicine and Biology (IEEE OJEMB) is dedicated to serving the community of innovators in medicine, technology, and the sciences, with the core goal of advancing the highest-quality interdisciplinary research between these disciplines. The journal firmly believes that the future of medicine depends on close collaboration between biology and technology, and that fostering interaction between these fields is an important way to advance key discoveries that can improve clinical care.IEEE OJEMB is a gold open access journal in which the authors retain the copyright to their papers and readers have free access to the full text and PDFs on the IEEE Xplore® Digital Library. However, authors are required to pay an article processing fee at the time their paper is accepted for publication, using to cover the cost of publication.
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