Integrating GPS, GIS, and Ecological Momentary Assessment to Determine the Effect of Home and Neighborhood Context on Adolescent Sleep

整合 GPS、GIS 和生态瞬时评估来确定家庭和邻里环境对青少年睡眠的影响

基本信息

  • 批准号:
    10684013
  • 负责人:
  • 金额:
    $ 16.41万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-09-01 至 2026-07-31
  • 项目状态:
    未结题

项目摘要

Project Summary/Abstract Insufficient sleep doubles the risk of obesity among youth and increases the risk of cardiovascular disease (CVD) in adulthood. Over 75% of US high school students do not meet national sleep recommendations. Given these alarming trends, a better understanding of the environmental determinants of sleep in adolescents is needed in order to identify targets for interventions and public health strategies to promote healthy sleep. While research increasingly suggests that home and neighborhood context impact sleep, key methodological issues limit understanding of the environmental determinants of adolescent sleep. Research on the influence of neighborhood-level factors (e.g. crime, disorder) on sleep typically focuses on the area surrounding adolescents' homes. This approach does not account for mobility and the accumulation of exposures across multiple contexts (e.g. home, school, in transit) during daily activities, leading to exposure misclassification. The home sleep environment (e.g. light, noise) may also vary by night, but is typically assessed at a single timepoint. Mobile health methods including smartphone GPS tracking and ecological momentary assessment (EMA) offer an innovative opportunity to overcome the limitations of past studies by developing person- centered measures of environmental exposures that account for variation over space and time. With this career development award, I will develop critical skills in environmental exposure assessment and health behavior science necessary to pursue a novel independent research program that identifies modifiable environmental determinants of sleep and other CVD-related outcomes and their mechanisms of effect using advanced, cutting-edge methods. In the proposed research study, I will enroll a diverse cohort of 160 adolescents aged 15-18 through a large urban pediatric primary care research network. I will use smartphone GPS tracking, EMA, geographic information systems (GIS), and actigraphy to collect high-resolution longitudinal data on adolescents' exposures to the home and neighborhood context and sleep outcomes over a 14-day period. The research aims include 1) quantifying adolescents' exposure during daily activities to neighborhood factors hypothesized to influence sleep, 2) determining the extent to which adolescents' exposure to adverse sleep environments varies across nights and by housing conditions, and 3) determining the extent to which daily measures of home and neighborhood exposures are associated with adolescent sleep outcomes. With guidance from an expert, interdisciplinary mentorship team at the Children's Hospital of Philadelphia and the University of Pennsylvania, I will obtain training in 1) space-time data collection and analysis, 2) ecological momentary assessment, and 3) sleep research. Completion of the K01 research and training plan will prepare me to compete successfully for R01-level research funding and will uniquely position me as an independent investigator who conducts large-scale epidemiologic investigations on spatiotemporal, environmental determinants of child and adolescent health behaviors related to cardiovascular health.
项目摘要/摘要 睡眠不足会使青年肥胖的风险增加一倍,并增加心血管疾病的风险 (CVD)成年。超过75%的美国高中学生不符合国家睡眠建议。给出 这些令人震惊的趋势,对青少年睡眠环境决定因素的更好理解是 为了确定干预措施和公共卫生策略的目标,以促进健康的睡眠。尽管 研究越来越多地表明,家庭和邻里环境会影响睡眠,关键方法论问题 限制对青少年睡眠环境决定因素的了解。研究 睡眠的邻里级别因素(例如犯罪,混乱)通常集中在周围的区域 青少年的家。这种方法不能解释流动性和跨越跨度暴露 在日常活动期间多种情况(例如,家庭,学校,在运输中),导致暴露误差分类。 家庭睡眠环境(例如光线,噪音)也可能因晚上而异,但通常以单个评估 时间点。移动健康方法包括智能手机GPS跟踪和生态瞬时评估 (EMA)提供了创新的机会来克服过去研究的局限性, 环境暴露的集中度量,这些措施解释了空间和时间上的变化。与此 职业发展奖,我将在环境暴露评估和健康方面发展关键技能 追求新颖的独立研究计划所必需的行为科学,以识别可修改 睡眠的环境决定因素和其他与CVD相关的结果及其效应机制使用 高级,尖端的方法。在拟议的研究中,我将招募160个队列 通过大型城市儿科初级保健研究网络,年龄15-18岁的青少年。我将使用智能手机 GPS跟踪,EMA,地理信息系统(GIS)和Actraphy收集高分辨率 有关青少年对家庭和邻里环境的纵向数据 14天。研究目的包括1)量化青少年在日常活动中的暴露 邻居因素假设会影响睡眠,2)确定青少年的程度 暴露于不良睡眠环境会在夜晚和住房条件下各不相同,3)确定 每日家庭和邻里暴露与青少年睡眠有关的程度 结果。在专家的指导下,跨学科指导团队在儿童医院 费城和宾夕法尼亚大学,我将在1)时空数据收集和 分析,2)生态瞬时评估和3)睡眠研究。完成K01研究和 培训计划将使我准备成功争夺R01级研究资金,并将立场独特 我是一名独立研究者,他对时空的大规模流行病学研究, 与心血管健康有关的儿童和青少年健康行为的环境决定因素。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Neighborhood Greenspace and Changes in Pediatric Obesity During COVID-19.
  • DOI:
    10.1016/j.amepre.2022.07.014
  • 发表时间:
    2023-01
  • 期刊:
  • 影响因子:
    5.5
  • 作者:
    Mayne, Stephanie L.;Kelleher, Shannon;Hannan, Chloe;Kelly, Mary Kate;Powell, Maura;Dalembert, George;McPeak, Katie;Jenssen, Brian P.;Fiks, Alexander G.
  • 通讯作者:
    Fiks, Alexander G.
Measures of Neighborhood Opportunity and Adherence to Recommended Pediatric Primary Care.
  • DOI:
    10.1001/jamanetworkopen.2023.30784
  • 发表时间:
    2023-08-01
  • 期刊:
  • 影响因子:
    13.8
  • 作者:
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Stephanie Mayne其他文献

Stephanie Mayne的其他文献

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{{ truncateString('Stephanie Mayne', 18)}}的其他基金

Integrating GPS, GIS, and Ecological Momentary Assessment to Determine the Effect of Home and Neighborhood Context on Adolescent Sleep
整合 GPS、GIS 和生态瞬时评估来确定家庭和邻里环境对青少年睡眠的影响
  • 批准号:
    10300610
  • 财政年份:
    2021
  • 资助金额:
    $ 16.41万
  • 项目类别:
Integrating GPS, GIS, and Ecological Momentary Assessment to Determine the Effect of Home and Neighborhood Context on Adolescent Sleep
整合 GPS、GIS 和生态瞬时评估来确定家庭和邻里环境对青少年睡眠的影响
  • 批准号:
    10478115
  • 财政年份:
    2021
  • 资助金额:
    $ 16.41万
  • 项目类别:

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