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相关概念视频

Longitudinal Studies01:26

Longitudinal Studies

477
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Longitudinal Research02:20

Longitudinal Research

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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相关实验视频

Updated: Jan 15, 2026

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
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使用数字表型鉴定量化母亲健康:长度观察研究的协议.

Amanda Glime1,2, Taysir Mahmoud3, Soni Rusagara2

  • 1Bouvé College of Health Sciences, Northeastern University, Boston, MA, United States.

JMIR research protocols
|October 8, 2025
PubMed
概括

这项研究引入了使用智能手表和智能手机的数字表型化协议,以在怀孕期间和产后持续监测母亲的健康状况. 目标是通过客观,实时的数据收集,提高对母婴幸福感的理解.

关键词:
数字化表型化是指数字化表型化.生态瞬间评估 环境瞬间评估纵向数据 纵向数据 纵向数据怀孕 怀孕 怀孕 怀孕 怀孕智能手机的智能手机智能手机的智能手机.智能手表 智能手表

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相关实验视频

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科学领域:

  • 数字健康数字健康
  • 孕产妇和胎儿的医学
  • 行为科学是一种行为科学.

背景情况:

  • 介绍了一种新的数字表型化协议,用于在怀孕和产后期间持续客观地测量行为,生理和上下文数据.
  • 这种方法利用智能手表和智能手机的被动传感,以及生态瞬间评估 (EMA),以捕捉关键的时间变化和母婴结果.

研究的目的:

  • 开发和优化用于孕妇和产后个体数字表型的纵向数据收集协议.
  • 为了最大限度地减少参与者的负担,增强保留,并评估可穿戴设备与智能手机在数据收集方面的比较价值.

主要方法:

  • 从第三季度到产后6周的30名无产妇参与者的数据收集.
  • 通过智能手机和Garmin智能手表集成调查,每日/每周EMA和被动传感 (活动,生命体征,睡眠,位置).
  • 在与专门的研究实验室合作下,利用Huckleberry应用程序进行新生儿数据的分娩后记录.

主要成果:

  • 该研究于2024年8月获得资金,预计数据收集时间从2025年10月到2026年7月.
  • 计划评估包括保留率,数据完成率,智能手表佩戴时间和Huckleberry应用程序数据量.
  • 数字表型将被用于探索母乳养,分娩结果和母婴福祉的预测.

结论:

  • 该协议将数字表型化整合到怀孕和产后研究中,用于实时的母亲福祉指标.
  • 目的是通过功率分析来确定数据完成率和确定未来研究的样本大小.
  • 通过集成的智能手机和可穿戴传感器数据来改变孕产妇健康临床干预的潜力.