The SKyRoCKeT Study: Surface-Knit and Reformulate CADENCE-Kids for Translation.
The SKyRoCKeT Study: Surface-Knit and Reformulate CADENCE-Kids for Translation.
批准号:
10616533
负责人:
Laura H Gunn
金额:
$57.45万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-05-01 至 2027-03-31
关键词:
20 year oldAcademic achievementAdolescent and Young AdultAdultAdvisory CommitteesAgeAlgorithmsBehaviorBehavior TherapyBody mass indexCalibrationCaregiversCharacteristicsChildClinicalCognitionCommunicationDataDevelopmentDevicesDimensionsDoseEducational CurriculumElderlyEnergy MetabolismExertionFundingGuidelinesHealthHealth educationHeart RateHeightHeterogeneityHumanIndirect CalorimetryIndividualInterventionLegLengthLinear ModelsManaged CareMaximum Heart RateMeasuresMetabolicModelingModerate ExerciseMonitorObesityOutcomeOxygenOxygen ConsumptionParentsPersonsPhysical EducationPhysical activityPhysiologicalPhysiologyPilot ProjectsPreventive careProtocols documentationPublic HealthPublic Health Applications ResearchRecommendationReportingResearchResearch PersonnelRisk FactorsRunningSamplingSchoolsScienceStrenuous ExerciseSurfaceTimeTrainingTranslatingTranslationsWalkingWeightcardiometabolic riskcardiorespiratory fitnesscostevidence baseflexibilityinnovationinter-individual variationmoderate-to-vigorous physical activitypersonalized careprogramsrecruitresponsesexsuccesstreadmilluptakeuser-friendlywearable device
中文摘要
7.项目总结/摘要
身体活动(PA)与儿童的许多短期和长期健康结果相关,
青少年和年轻人(统称为年轻人)。特别是,反剂量-反应关系
中度至重度PA(MVPA)和心脏代谢危险因素之间存在差异。精确量化
年轻人的日常MVPA对于有效的监测、研究、临床和公共卫生至关重要
应用.然而,在能源消耗方面的强度的技术表达(即,耗氧量
或以代谢当量或MET表示的代谢成本)和/或年龄预测心率的百分比
除了那些受过人体生理学训练的人之外,所有人都无法解释最大值。一个更实际可行的
然而,仍然需要客观的指标来跟踪和影响年轻人的健康水平的PA。
SKyRoCKeT研究(表面编织和重新制定CADENCE儿童翻译)将建立在
R21CADENCE-Kids研究并招募了360名6 - 20岁年轻人,
年龄:1)创新地表面“编织”的年龄维度通过一个连续的,无偏见的年龄,
无人工跳跃的生理相干年龄-节奏-日志(MET)柔性表面方法
年龄范围之间的差异,并提高了节奏强度阈值估计的精度。这个单一的表面
将连贯地在年龄之间过渡,借用年龄间的信息,并以数据为驱动; 2)重新制定
CADENCE-儿童通过提供颗粒状的、年龄特定的节奏强度阈值,
MVPA的精度。将使用与R21资助的试点类似的跑步机方案客观收集数据
学习,以更快的速度。一个完整的运行回合现在也将包括为每个人在可能的情况下。
我们将同时收集节奏与直接观察以及与多个当代可穿戴
技术.收集心肺功能和习惯性PA数据,我们将开发额外的,创新的
通过基于实验室的摄氧量指标(%VO2peak,%VO2R)来预测相对强度的算法,
心率(%HRR,% HRmax)和感知用力评级,以便于计算单独校准的
适用于自由生活或习惯性PA生活条件的阈值。我们还将调查其他
不同性别和体重指数标准差评分的表面和节奏强度阈值差异。
将探索身高和/或腿长特定(超)表面,作为年龄的更精确替代方案
3)通过向户外地面行走的转化,创新性地推动科学发展。我们
假设研磨机设置节奏-强度阈值将可靠地转换并允许引发可预测的
代谢成本在户外地上行走象征自由生活的走动行为。
SKyRoCKeT研究是一个创新的关键步骤,提供连贯的,可解释的,客观的监测
广泛使用的基于步骤的强度指标,为国家保护行动指南、干预措施、评估
分析、以学校为基础的健康教育课程和方案以及针对青年人的公共卫生信息。
英文摘要
7. Project Summary/Abstract
Physical activity (PA) is associated with a number of short- and long-term health outcomes in children,
adolescents, and young adults (collectively, young people). In particular, an inverse dose-response relationship
exists between moderate-to-vigorous PA (MVPA) and cardio-metabolic risk factors. Accurately quantifying
young people’s daily MVPA is essential for effective surveillance, research, clinical, and public health
applications. Yet, technical expressions of intensity in terms of energy expenditure (i.e., oxygen consumption
or metabolic cost expressed in metabolic equivalents or METs) and/or percent of age-predicted heart rate
maximum may be uninterpretable to all but those trained in human physiology. A more practically accessible
yet still objective metric is needed to track and influence young people’s healthful levels of PA.
The SKyRoCKeT Study (Surface-Knit and Reformulate CADENCE-Kids for Translation) will build on
the R21 CADENCE-Kids study and recruit a sex- and age-balanced sample of 360 young people 6-20 years of
age to: 1) Innovatively surface-‘knit’ the age dimension through a continuous, unbiased-by-age, and
physiologically-coherent age-cadence-log(MET) flexible surface approach without artificially-generated jumps
between age ranges and with enhanced precision of cadence-intensity threshold estimates. This single surface
will coherently transition between ages, borrow inter-age information, and be data-driven; 2) Reformulate
CADENCE-Kids by providing granular, age-specific cadence-intensity thresholds, calculated with enhanced
precision for MVPA. Data will be objectively collected using a similar treadmill protocol to the R21-funded pilot
study, with incrementally faster paces. A full running bout will now also be included for everyone when possible.
We will concurrently collect cadence with direct observation as well as with multiple contemporary wearable
technologies. Collecting cardio-respiratory fitness and habitual PA data, we will develop additional, innovative
algorithms to predict relative intensity defined by lab-based indicators of oxygen uptake (%VO2peak, %VO2R),
heart rate (%HRR, %HRmax), and rating of perceived exertion to facilitate computation of individually calibrated
thresholds applicable to the free-living or habitual PA living condition. We will also investigate additional
differences in surfaces and cadence-intensity thresholds by sex and body mass index standard deviation scores.
Height- and/or leg-length-specific (hyper)surfaces will be explored as more precise alternatives to the age
dimension; and 3) Propel science forward innovatively through translation to outdoor over-ground walking. We
hypothesize that treadmill-set cadence-intensity thresholds will reliably translate and allow eliciting predictable
metabolic costs during outdoor over-ground walking emblematic of free-living ambulatory behaviors.
The SKyRoCKeT Study is an innovative critical step to provide coherent, interpretable, objectively monitored
step-based intensity metrics of widespread use to inform national PA guidelines, interventions, assessments,
analyses, school-based health education curricula and programs, and public health messages for young people.
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The SKyRoCKeT Study: Surface-Knit and Reformulate CADENCE-Kids for Translation.
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批准号:10443934
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项目类别:
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资助金额:$55.25万
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财政年份:2022
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负责人:Laura H Gunn
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依托单位:
Identification of Persistent Impairments in Postural Control Following Concussion
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批准号:8180443
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项目类别:
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资助金额:$38.57万
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财政年份:2011
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负责人:Laura H Gunn
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依托单位:
海外基金