Complex Systems Science Approaches to Addressing Oral Health Disparities
解决口腔健康差异的复杂系统科学方法
基本信息
- 批准号:9751645
- 负责人:
- 金额:$ 24.27万
- 依托单位:
- 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:2018-09-01 至 2021-08-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAdultAffectApplied ResearchBehaviorBostonCaregiversCharacteristicsChildChild HealthCommunitiesComplexComputer SimulationComputersConsumptionDataData CollectionDentalDental CareDevelopmentDiffusionDisadvantagedDiseaseDissectionEpidemiologistEpidemiologyEtiologyFeedbackGeographyGoalsHealthHealth StatusHealth behaviorHousingIndividualInterventionInvestmentsLow incomeMeasuresMentorsMethodsMinority GroupsModelingNetwork-basedOral healthOutcomePathway AnalysisPathway interactionsPerformancePharmaceutical PreparationsPhasePopulationPopulation DynamicsPopulation GroupPovertyProbabilityPropertyPublic HousingQuality of lifeResearchResourcesRiskSamplingScienceShapesSocial EnvironmentSocial InteractionSocial NetworkSocial ProcessesStructureSystemTestingTimeTrainingWorkbasebehavior changebehavioral healthburden of illnesscareercomputerized toolsdesigndisadvantaged populationdisorder preventionexperiencehealth disparityimprovedinstrumentmembermodels and simulationmultidisciplinarypopulation healthracial and ethnicsimulationskillssocialsocial movementsocial stigmasugarsweetened beveragetheoriestool
项目摘要
Oral health disparities, particularly among children, continue to be a pressing problem in the US. While the oral
health of children has improved overall, those from disadvantaged population groups continue to suffer from a
greater than average disease burden. Oral health disparities reflect a complex set of pathways and
mechanisms with bidirectional associations (feedback loops) that traverse the macro- and micro-levels of
disease causation. The overall goal of this proposal is to facilitate the candidate’s long term career goal of
becoming an independent social epidemiologist capable of investigating disease causation and prevention
through a complex systems-based perspective. The current proposal aims to provide the candidate with the
opportunity to develop the necessary skills and experience to achieve research independence by extending
their formal training in epidemiology and applied experiences in oral health disparities research. Development
activities proposed during the mentored phase are related to training the candidate in Complex Systems
Science (CSS) approaches, namely social network analysis (SNA) and agent-based modeling (ABM). Training
will occur through coursework, multidisciplinary mentoring and applied research experiences. The primary
vehicle for development is the research plan. The proposed research aims to use CSS approaches to better
understand the factors and mechanisms underlying oral health among a disadvantaged population, and to
improve the strategies aimed at improving oral health, thereby reducing observed disparities. These
approaches facilitate an understanding of the population, social interaction and environmental influence
simultaneously and can explore interactions, feedback loops and reciprocity between independent and
dependent variables. The first phase of the proposed work aims to develop a detailed conceptual model of oral
health disparities that captures the multi-level mechanisms and will be used to inform the development of an
agent-based model. ABM refers to the use of stochastic computer simulations to understand how the
distribution of health and disease on a population level emerge from explicitly programmed health behaviors,
social interactions and movements of simulated individuals over simulated time. An ABM of oral health and
social networks among residents of public housing will be developed and utilized to identify viable intervention
targets. The second phase of the work proposes to conduct a longitudinal SNA of adult caregivers of young
children residing in public housing. SNA is an empirical tool that has been utilized to better understand the
social context within which individuals interact. The planned analysis will serve to provide longitudinal data that
can be used to validate the estimates of intervention targets obtained from the agent-based model.
Additionally, the feasibility and acceptability of a potential network-based intervention will be evaluated within
the sample. Completion of the described aims will represent one of the first applications of complex systems
science methods to oral health disparities and demarcate the independent research career of the candidate.
在美国,口腔健康差距,特别是儿童,仍然是一个紧迫的问题。而口腔
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Brenda Heaton其他文献
Brenda Heaton的其他文献
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{{ truncateString('Brenda Heaton', 18)}}的其他基金
Modeling Complex Mechanisms Underlying Oral Health Disparities in Young Children and Their Caregivers
模拟幼儿及其照顾者口腔健康差异背后的复杂机制
- 批准号:
10893769 - 财政年份:2023
- 资助金额:
$ 24.27万 - 项目类别:
Preconception periodontitis and adverse pregnancy outcomes in a prospective cohort of pregnancy planners
妊娠计划者前瞻性队列中的孕前牙周炎和不良妊娠结局
- 批准号:
10727141 - 财政年份:2023
- 资助金额:
$ 24.27万 - 项目类别:
Modeling Complex Mechanisms Underlying Oral Health Disparities in Young Children and Their Caregivers
模拟幼儿及其照顾者口腔健康差异背后的复杂机制
- 批准号:
10374518 - 财政年份:2021
- 资助金额:
$ 24.27万 - 项目类别:
Modeling Complex Mechanisms Underlying Oral Health Disparities in Young Children and Their Caregivers
模拟幼儿及其照顾者口腔健康差异背后的复杂机制
- 批准号:
10491836 - 财政年份:2021
- 资助金额:
$ 24.27万 - 项目类别:
Photo-enhanced messaging to address dietary sugars as a common risk factor for chronic disease
光增强信息传递解决膳食糖作为慢性病的常见危险因素
- 批准号:
9978023 - 财政年份:2019
- 资助金额:
$ 24.27万 - 项目类别:
Photo-enhanced messaging to address dietary sugars as a common risk factor for chronic disease
光增强信息传递解决膳食糖作为慢性病的常见危险因素
- 批准号:
9808349 - 财政年份:2019
- 资助金额:
$ 24.27万 - 项目类别:
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