Dynamic Treatment Regimens of Physical Activity for Persons with Osteoarthritis
Dynamic Treatment Regimens of Physical Activity for Persons with Osteoarthritis
批准号:
9981661
负责人:
S. Reza Jafarzadeh
金额:
$21.63万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-01 至 2022-07-31
关键词:
AccelerometerAffectAmericanCaringCartilageCharacteristicsClinicalCohort StudiesConflict (Psychology)DataDecelerationDecision MakingDegenerative polyarthritisDevelopmentDiagnostic radiologic examinationDiseaseDisease ProgressionElderlyExerciseExploratory/Developmental GrantGoalsImageIndividualInterventionJointsKneeKnee OsteoarthritisKnowledgeLongitudinal StudiesMalignant NeoplasmsMeasuresMechanical StimulationMechanicsMedicineMethodsOutcomePainPatientsPerformancePersonsPharmaceutical PreparationsPhysical FunctionPhysical activityPopulationPreventionRecommendationRecording of previous eventsRegimenReportingResearchRiskStressStructureTestingTimeTreatment ProtocolsUncertaintyUnited States National Institutes of HealthWalkingWeight GainWorkbasefunctional improvementhigh rewardhigh riskimprovedinsightknee painnovelosteoarthritis painpain reductionpain reliefperformance based measurementpersonalized approachphysical inactivityresponsesedentary
中文摘要
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英文摘要
PROJECT SUMMARY/ABSTRACT
Limited understanding of factors affecting the course of Osteoarthritis (OA) has hampered development and
optimization of strategies that would lessen pain and slow disease progression. While OA is a mechanically-
driven disease, important knowledge gaps remain regarding the effects of physical activity, the most common
reason for mechanical stimulation of joint structures. OA pain is mainly activity-induced (e.g., stair climbing,
walking), but paradoxically, walking regimens can reduce pain. Further, certain degrees of oscillating
compressive stress cause trophic changes in cartilage, whereas static or high velocity stress causes catabolic
responses. Given the contrasting effects of different types of activities on the joint, it is not surprising that studies
of the effects of the amount of physical activity on OA have had conflicting results. Further, it is uncertain what
types of activity could be beneficial for pain relief or function improvement without causing harm and accelerating
disease progression. The long-term goal of this project is to facilitate decision making for clinicians and patients
of a more optimal physical activity regimen for pain relief, maintaining functional performance, and decelerating
structural damage in osteoarthritis. The central hypothesis of this proposal is that physical activity's influence on
osteoarthritis outcomes differs depending on individual characteristics such as the stage of disease and that
different types of activity have different effects on OA outcomes. Further, we hypothesize that the optimal activity
regimen may evolve as the patient characteristics change. Therefore, a person-specific physical activity
regimen that is adjustable and consistent with the patient's current characteristics is needed. We propose to
take advantage of the Osteoarthritis Initiative (OAI) and Multicenter Osteoarthritis Study (MOST) cohorts,
two large-scale longitudinal studies on OA with data on physical activity, measured objectively by
accelerometer, in addition to extensive clinical, imaging, and medication history data. Our aims are: 1) to
characterize the time-varying association of physical activity types with knee OA structural progression, 2) to
examine a person-specific and dynamic physical activity regimen for pain reduction in persons with knee OA,
and 3) to examine a person-specific and dynamic physical activity regimen for performance-based physical
function in persons with knee OA. The contribution of this work is significant because a better understanding of
how physical activity types and intensity may improve or worsen the outcomes of OA is urgently needed. Our
novel analytic approach is a departure from the traditional approaches of physical activity recommendation based
on average effect in the population. Unlike population-oriented approaches that were indifferent to an individual's
unique characteristics, our person-specific approach will allow us to adjust the physical activity regimen as the
disease evolves. Our work will provide new evidence about diverse types of physical activity and could inform
better OA management.
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会议论文
Bayesian approaches to identify persons with osteoarthritis in electronic health records and administrative health data in the absence of a perfect reference standard
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批准号:10665905
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项目类别:
-
资助金额:$25.41万
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财政年份:2023
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负责人:S. Reza Jafarzadeh
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依托单位:
Effects of NSAIDs and non-NSAID Analgesics on Osteoarthritis Outcomes
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批准号:9765134
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项目类别:
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资助金额:$8.25万
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财政年份:2018
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负责人:S. Reza Jafarzadeh
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依托单位:
Effects of NSAIDs and non-NSAID Analgesics on Osteoarthritis Outcomes
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批准号:9584172
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项目类别:
-
资助金额:$8.25万
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财政年份:2018
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负责人:S. Reza Jafarzadeh
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依托单位:
海外基金