权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Microtemporal Processes Underlying Health Behavior Adoption and Maintenance

健康行为采用和维持的微时间过程

基本信息

批准号：
10559464
负责人：
Genevieve Fridlund Dunton
金额：
$ 10万
依托单位：
UNIVERSITY OF SOUTHERN CALIFORNIA
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-08-15 至 2024-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10559464
关键词：
Address Administrative Supplement Adoption Affect Affective Age Behavior Disorders Behavioral COVID-19 pandemic effects California Cellular Phone Clinical Data Clinical Trials Computers Data Data Analyses Data Collection Data Pooling Data Set Devices Ecological momentary assessment Enrollment Exercise Foundations Frequencies Funding Future Geographic Locations Grant Health behavior Human Resources Individual Intervention Knowledge Lead Location Maintenance Measures Metadata Methodology Modeling Movement Parents Participant Patient Self-Report Persons Population Heterogeneity Process Property Psychometrics Recording of previous events Research Research Design Research Personnel Sample Size Sampling Scientist Site Sleep Source Specialist Standardization Techniques Time U-Series Cooperative Agreements United States National Institutes of Health Universities Work base behavior measurement behavioral study computer human interaction data de-identification data handling data harmonization data modeling data sharing data streams diverse data emotional experience health data improved member multiscale data pandemic disease parent grant parent project prevent secondary analysis sensor smart watch study population substance use theories tool young adult

项目摘要

PROJECT SUMMARY This application responds to PA-20-272 Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp Clinical Trial Optional). It will make significant contributions to Intensive Longitudinal Health Behavior Network (ILHBN) cross-study projects by (1) sharing relevant data collected through the TIME study to support four cross-network projects as well as future work with shared datasets, and (2) leading the effort on a cross-network project to investigate reliability and variance in affect data collected across ILHBN studies. To date, the ILHBN has collectively generated rich intensive longitudinal data (ILD) and explored state-of-the-art methodologies for analysis of such health data. However, data sharing across and outside of individual projects remains limited due to budgetary and personnel constraints that prevent some sites from preparing their data to share within the ILHBN, as well as the additional challenges brought on by the pandemic that have required each team to focus more effort than anticipated on their own data collection. The richness of the ILD collected means that there are many possibilities for secondary analyses and modeling efforts that are beyond the scopes of the parent projects if data harmonization and sharing can be achieved across the projects. The projected sample size across all studies is 2210 participants and 854,220 person days across all sites. This is an unprecedented dataset that could support a large body of future work on the use of ILD for behavioral measurement, including important methodological results about how this new field might move forward. Gaps in knowledge about optimal ways to measure to better understand affect dynamics can be filled by pooled analysis from our network. Improving methodologies to capture dynamic emotional experiences in naturalistic settings can help researchers elucidate the affective processes underlying various behaviors and disorders. This proposed administrative supplement offers a unique opportunity to contribute to cross network projects examining a variety of impactful questions about longitudinal changes in health behavior and makes contributions to improved understanding of the psychometric properties of affect items measured through EMA across many occasions.

项目摘要本申请响应PA-20-272现有NIH赠款和合作的行政补充协议（家长管理支持临床试验可选）。它将为密集型做出重大贡献纵向健康行为网络（ILHBN）交叉研究项目，通过（1）分享收集的相关数据通过TIME研究支持四个跨网络项目以及未来共享数据集的工作， (2)领导跨网络项目的工作，以调查收集的影响数据的可靠性和差异在ILHBN研究中。迄今为止，ILHBN已经共同产生了丰富的密集纵向数据（ILD），探讨了分析此类健康数据的最新方法。然而，数据共享和由于预算和人员的限制，从准备他们的数据在ILHBN内共享，以及所带来的额外挑战，这就要求每个团队在自己的数据收集上投入比预期更多的精力。的所收集的ILD的丰富性意味着有许多可能进行二次分析和建模工作如果可以在整个项目范围内实现数据协调和共享，项目所有研究的预计样本量为2210名参与者和854，220人/天网站.这是一个前所未有的数据集，可以支持未来大量关于使用ILD进行治疗的工作。行为测量，包括关于这一新领域可能如何发展的重要方法学结果，性新可以填补关于测量以更好地理解情感动态的最佳方法的知识空白通过我们网络的汇总分析。改进方法以捕捉动态情感体验，自然主义的设置可以帮助研究人员阐明各种行为背后的情感过程，紊乱这一拟议的行政补充提供了一个独特的机会，有助于跨网络项目研究了各种关于健康行为纵向变化的有影响力的问题，有助于提高对通过EMA测量的情感项目的心理测量特性的理解在许多场合。

项目成果

期刊论文数量（11）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Long-term effects of the COVID-19 pandemic on children's physical activity and sedentary behavior.

DOI：
10.1002/osp4.710
发表时间：
2024-02
期刊：
OBESITY SCIENCE & PRACTICE
影响因子：
2.2
作者：
Moore, Kristen N.;Do, Bridgette;Wang, Shirlene D.;Mcalister, Kelsey;Chapman, Tiffany M.;Belcher, Britni R.;Dunton, Genevieve F.
通讯作者：
Dunton, Genevieve F.

Investigating Microtemporal Processes Underlying Health Behavior Adoption and Maintenance: Protocol for an Intensive Longitudinal Observational Study.

调查采用和维护的基础较小量的过程：一项密集的纵向观察性研究方案。

DOI：
10.2196/36666
发表时间：
2022-07-14
期刊：
JMIR RESEARCH PROTOCOLS
影响因子：
1.7
作者：
Wang, Shirlene;Intille, Stephen;Ponnada, Aditya;Do, Bridgette;Rothman, Alexander;Dunton, Genevieve
通讯作者：
Dunton, Genevieve

Intensive Longitudinal Data Collection Using Microinteraction Ecological Momentary Assessment: Pilot and Preliminary Results.