Suppr超能文献

目前、未来和潜在使用移动和可穿戴技术以及社交媒体数据在 ABCD 研究中,以增加对儿童健康影响因素的理解。

Current, future and potential use of mobile and wearable technologies and social media data in the ABCD study to increase understanding of contributors to child health.

机构信息

University of California, San Diego, 9500 Gilman Dr., La Jolla, CA, 92093, USA.

Penn State University, 507 Oswald Tower, University Park, PA, 16802, USA.

出版信息

Dev Cogn Neurosci. 2018 Aug;32:121-129. doi: 10.1016/j.dcn.2018.03.008. Epub 2018 Mar 28.

Abstract

Mobile and wearable technologies and novel methods of data collection are innovating health-related research. These technologies and methods allow for multi-system level capture of data across environmental, physiological, behavioral, and psychological domains. In the Adolescent Brain Cognitive Development (ABCD) Study, there is great potential for harnessing the acceptability, accessibility, and functionality of mobile and social technologies for in-vivo data capture to precisely measure factors, and interactions between factors, that contribute to childhood and adolescent neurodevelopment and psychosocial and health outcomes. Here we discuss advances in mobile and wearable technologies and methods of analysis of geospatial, ecologic, social network and behavioral data. Incorporating these technologies into the ABCD study will allow for interdisciplinary research on the effects of place, social interactions, environment, and substance use on health and developmental outcomes in children and adolescents.

摘要

移动和可穿戴技术以及新颖的数据收集方法正在革新与健康相关的研究。这些技术和方法允许在环境、生理、行为和心理领域跨多系统水平捕获数据。在青少年大脑认知发展 (ABCD) 研究中,利用移动和社交技术的可接受性、可及性和功能性进行体内数据采集,以精确测量有助于儿童和青少年神经发育以及心理社会和健康结果的因素及其相互作用,具有很大的潜力。在这里,我们讨论了移动和可穿戴技术以及地理空间、生态、社交网络和行为数据分析方法的进展。将这些技术纳入 ABCD 研究将允许进行跨学科研究,探讨地点、社会互动、环境和物质使用对儿童和青少年健康和发育结果的影响。

相似文献

2
Implications of the ABCD study for developmental neuroscience.ABCD 研究对发展神经科学的启示。
Dev Cogn Neurosci. 2018 Aug;32:161-164. doi: 10.1016/j.dcn.2018.05.003.

引用本文的文献

8
Longitudinal analysis of the ABCD® study.ABCD® 研究的纵向分析。
Dev Cogn Neurosci. 2025 Apr;72:101518. doi: 10.1016/j.dcn.2025.101518. Epub 2025 Feb 8.

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验