NEURODEGENERATIVE DISEASES AND THE ROLE OF GREEN SPACE: A DEEP LEARNING ASSESSMENT - PROJECT SUMMARY ALZHEI…
Federal financial assistance recorded from USAspending. This is not a procurement contract.
Research this with AI
Research smarter with AI
Analyze opportunities and compare insights across leading AI models.
ASST_NON_R00AG066949_075 · TRUSTEES OF BOSTON UNIVERSITY · Department of Health and Human Services
Compare Multiple AI Models with SmartSoloExplore CaptureIQ IntelligenceAssistance award details
- Assistance award identifier
- ASST_NON_R00AG066949_075
- FAIN
- R00AG066949
- Recipient
- TRUSTEES OF BOSTON UNIVERSITY
- Awarding agency
- Department of Health and Human Services
- Funding agency
- Department of Health and Human Services
- Assistance listing (CFDA)
- 93.866
- Total obligated
- $837,054
- Period
- May 1, 2020 – Feb 28, 2025
- Fiscal year
- 2022
- Place of performance state
- MA
- Source file
- FY2022_All_Assistance_Full_20261006.zip
Description
NEURODEGENERATIVE DISEASES AND THE ROLE OF GREEN SPACE: A DEEP LEARNING ASSESSMENT - PROJECT SUMMARY ALZHEIMERâS DISEASE AND RELATED DEMENTIAS (ADRD) HAVE WELL-ESTABLISHED RISK FACTORS SUCH AS PHYSICAL ACTIVITY (PA), DEPRESSION, AND HYPERTENSION (HTN). THESE RISK FACTORS DISPROPORTIONATELY AFFECT RACIAL MINORITY POPULATIONS, BUT THE MECHANISMS UNDERLYING RACIAL HEALTH DISPARITIES ARE NOT WELL UNDERSTOOD. IN THIS, GEOGRAPHIC FACTORS COULD BE KEY, AS PA, DEPRESSION AND HTN ARE STRONGLY AFFECTED BY GEOGRAPHIC EXPOSURES, INCLUDING GREEN SPACE. HOWEVER, GREEN SPACE IS TYPICALLY MEASURED WITH QUESTIONNAIRES, WHICH HAVE SUBSTANTIAL ERROR, OR SATELLITE-BASED INDEXES THAT ARE NONSPECIFIC AND PROVIDE NO INFORMATION ON THE TYPE OF VEGETATION (E.G., TREE VS. GRASS), NOR WHETHER THE VEGETATION IS WITHIN VIEW AT THE STREET LEVEL. AS A RESULT, NO STUDY HAS QUANTIFIED THE CONTRIBUTION OF GREEN SPACE TO RACIAL DISPARITIES IN ADRD. AND WHILE NOVEL TECHNOLOGIES SUCH AS GOOGLE STREET VIEWS (GSV) IMAGING ARE PROMISING DATA SOURCES FOR CAPTURING UNIQUE MEASURES OF GREEN SPACE, MANAGING, PROCESSING, AND ANALYZING HIGH-DIMENSIONAL DATA PRESENT SIGNIFICANT LOGISTICAL AND ANALYTICAL CHALLENGES, ESPECIALLY WHEN LINKING THESE DATA TO EXISTING DATA FROM LARGE PROSPECTIVE COHORTS. FINALLY, WE NEED TO UNDERSTAND GREEN SPACE IN THE CONTEXT OF OTHER POTENTIALLY CORRELATED GEOGRAPHIC EXPOSURES, OR THE URBAN EXPOSOMEâTHE TOTALITY OF LIFE- COURSE GEOGRAPHIC EXPOSURES (THE SET OF GREEN SPACE, AIR POLLUTANTS, NOISE, BUILT ENVIRONMENT, AND SOCIAL ENVIRONMENT)âTO ESTIMATE WHICH FACTORS DRIVE HEALTH. THIS PROPOSAL WILL ADDRESS THESE CHALLENGES BY USING GSV IMAGING TO ASSESS THE EFFECT OF GREEN SPACE ON PA, DEPRESSION, AND HTN, AS WELL AS SUBSEQUENT ADRD RISK WITHIN THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA)âA 10-YEAR LONGITUDINAL STUDY OF 6,814 MEN AND WOMEN WITHOUT CLINICAL CARDIOVASCULAR DISEASE AT BASELINE FROM 4 RACIAL/ETHNIC GROUPS (NON-HISPANIC WHITE, AFRICAN-AMERICAN, CHINESE, AND HISP