Identifying and Addressing Social Determinants of Health to Reduce the National Burden of and Inequities in Dementia
Identifying and Addressing Social Determinants of Health to Reduce the National Burden of and Inequities in Dementia
批准号:
10597433
负责人:
Daniel Kim
金额:
$238.05万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-01-01 至 2025-12-31
关键词:
AddressAdjusted Life YearsAdultAffectAgeAll of Us Research ProgramAlzheimer&aposs disease related dementiaAlzheimer&aposs disease riskAmericanAreaBiological MarkersCause of DeathCessation of lifeCognitiveCommunitiesCost SavingsDNA MethylationDataDatabasesDementiaDiagnosisDisparityEconomicsEducationElderlyElectronic Health RecordEpidemiologyEthnic OriginFutureGenderGoalsHealthHealth and Retirement StudyHospitalsHypertensionImpaired cognitionIncidenceInequityKnowledgeLeftLengthLife ExpectancyLinkLongitudinal StudiesMachine LearningMeasuresMediationMedicare claimMemoryMemory LossMental DepressionMental disordersModelingOutpatientsParticipantPathway interactionsPoliciesPolicy MakerPopulationPrevention ResearchProductivityPublic PolicyQuality-Adjusted Life YearsQuasi-experimentRaceRiskRisk FactorsShapesSocial MobilitySocial SecuritySocioeconomic StatusTaxesTestingTranslatingUnited StatesUnited States National Institutes of HealthVulnerable PopulationsWagesWomancomparativecostdevelopment policyeconomic impactethnic minority populationevidence basehealth datahealth disparity populationsimprovedinnovationlongitudinal datasetmiddle agemodels and simulationmortalitymortality disparitymulti-ethnicnovelphysical conditioningpopulation healthpredictive modelingprotective factorspublic health relevanceracial minority populationresponserisk mitigationsocialsocial determinantssocial health determinantstelomeretooltranslational impact
中文摘要
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英文摘要
PROJECT SUMMARY/ABSTRACT
Alzheimer’s disease and related dementias (ADRD) are an escalating national crisis that shapes overall levels
of population health including average life expectancy. Critically, in order to effectively address this crisis, it is
imperative that we identify its root causes, which may include social determinants of health (SDoH) such as
education spending and social mobility, and that we modify these root causes through corresponding policies.
While a handful of SDoH have been shown to predict cognitive decline and ADRD, important questions remain
about which SDoH are root social drivers i.e., have the greatest impacts. Despite increasing calls for
comparative assessments to unpack and address the root causes—the social determinants—of ADRD, we lack
knowledge on the relative ADRD burden and economic impacts associated with modifying SDoH, including
policies such as the social security benefits tax. Furthermore, we have yet to establish which subpopulations
are most affected by SDoH. Given this information, there are critical needs to accurately estimate SDoH impacts,
including by subpopulation; and to translate these estimates into priority-setting tools including impacts on ADRD
burden and costs. Left unaddressed, these critical needs will hinder the development of policies to more
effectively reduce ADRD burden and inequities. Our overall objective is to use large multilevel, longitudinal
datasets and quasi-experimental approaches to construct the first comparative assessment evidence
base on the social drivers of ADRD burden and inequities. We will accomplish our overall objective by pursuing
the following specific aims using data in adults age 50+ from: the nationally-representative Mortality Disparities
in American Communities Study, linked to national mortality databases; the nationally-representative Health and
Retirement Study, linked to Medicare claims data; and the NIH’s All of Us Program, a multiethnic study linked to
electronic health records (EHR) data on diagnoses/treatments of health conditions: Aim 1) To assess the
impacts of area-level SDoH including state policies as protective factors against ADRD mortality, that
may vary across health disparity populations; Aim 2) To evaluate the impacts of area-level SDoH on
memory decline in middle-aged adults and incidence of cognitive impairment and dementia in older
adults; Aim 3) To explore the mechanisms through which area-level SDoH may protect against ADRD
incidence and cognitive impairment/decline, including physical/mental health disorders and biomarkers;
and Aim 4) To ascertain which area-level SDoH, if modified, are expected to yield the greatest reductions
in levels of and inequities in ADRD burden and costs. Regarding impact, we will identify the most promising
SDoH on which to intervene to yield improvements in ADRD burden and inequities. We will further establish the
pathways to differential vulnerabilities by subpopulation. By translating estimates into population health metrics,
we anticipate our project will have high translational impact through guiding policymakers' evidence-based
decisions about policies to more effectively reduce the burden of and inequities in ADRD among Americans.
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