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相关概念视频

Panic Disorder01:27

Panic Disorder

112
Panic disorder is an anxiety disorder characterized by recurrent and sudden minutes-long episodes of intense fear, known as panic attacks. These attacks may feel like heart attacks and often happen without warning or a specific cause. They can include symptoms such as rapid heart rate, shortness of breath, chest pain, trembling, sweating, dizziness, and a sense of helplessness. During a panic attack, individuals may feel as though they are experiencing a heart attack or are in a...
112

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相关实验视频

Updated: Jul 1, 2025

An Application for Pairing with Wearable Devices to Monitor Personal Health Status
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期待意想不到的事情:根据心情,推特和Apple Watch数据预测恐慌发作

Ellen W McGinnis1, Bryn Loftness2, Shania Lunna2

  • 1M-Sense Research GroupWake Forest School of Medicine Winston-Salem NC 27101 USA.

IEEE open journal of engineering in medicine and biology
|March 6, 2024
PubMed
概括

个人通常可以通过识别触发因素来预测恐慌发作. 情绪,环境噪音和心率等因素可能表明即将发生的恐慌发作,有助于未来的预防策略.

关键词:
恐慌发作是一种恐慌发作.果手表是果手表的一种.心理健康 心理健康推特 推特 推特 推特可穿戴设备可以穿戴.

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相关实验视频

Last Updated: Jul 1, 2025

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科学领域:

  • 精神病学是一个精神病学.
  • 心理健康 心理健康
  • 行为科学 行为科学

背景情况:

  • 恐慌发作是一个重要的心理健康问题,每年影响11%的成年人.
  • 目前的诊断标准表明,恐慌发作发生在没有警告的情况下.
  • 新出现的证据表明,个人往往可以识别恐慌发作之前的触发因素.

研究的目的:

  • 为了前性地调查与恐慌发作发生有关的定性和定量因素.
  • 探索环境和生理数据与恐慌发作发生之间的关系.
  • 为了确定预测恐慌发作的潜在预测因素.

主要方法:

  • 展望性研究涉及87名参与者经历恐慌发作.
  • 追溯触发器识别和日常情绪报告.
  • 在一个子样本 (n=32) 中分析了可穿戴传感器数据 (环境噪音,心率) 和Twitter情绪评级.

主要成果:

  • 95%的参与者回顾性地确定了他们的恐慌发作的触发因素.
  • 个人情绪恶化和基于Twitter的情绪评分较低与第二天恐慌发作的可能性增加有关.
  • 较高的环境噪音和较高的静止心率与第二天经历恐慌发作的可能性更高有关.

结论:

  • 恐慌发作的发作可能是可以预测的,这挑战了攻击在没有警告的情况下发生的概念.
  • 鉴定出来的因素 (情绪,环境,生理) 提供了开发预测模型的潜力.
  • 这些发现支持开发针对恐慌障碍的新型预防和干预策略.