Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( 🔒 ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Need Help

Social and behavioral determinants of health and Alzheimer’s Disease: Cohort study of the US military veteran population

Award Number: R01AG080670
ORGANIZATION: NATIONAL INSTITUTE ON AGING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 03/01/2023
PERIOD OF PERFORMANCE END DATE: 02/29/2028

Group Awards By:

View Award Description

Social and behavioral determinants of health and Alzheimer’s Disease: Cohort study of the US military veteran population - Social and behavioral determinants of health and Alzheimer’s Disease: Cohort study of the US military veteran population Alzheimer’s Disease (AD) affects an estimated 5.8 million US adults. Veterans are particularly susceptible to AD due to demographic, clinical, and economic factors. Social determinants of health are the conditions in which people are born, live, work, and age. Adverse social determinants of health include job loss and financial and food insecurity. Together with behavioral health factors (e.g., smoking and substance use) and mental health, adverse social and behavioral determinants of health (SBDH) contribute to adverse health outcomes. Associations between SBDH and AD have been noted, but most studies used structured electronic health record (EHR) or survey data. SBDH are not routinely added to structured EHR. Natural language processing (NLP) approaches can be developed to automatically extract SBDH and their attributes. This application responds to PAR-22-093 and NOT-AG-18-047. The specific aims are: Aim 1: Establish NLP-enriched case definitions of adverse SBDH and AD-related information (e.g., signs and symptoms of cognitive decline), and examine their incidences by first chart-reviewing ~10,000 EHR notes (e.g., primary care, neurology, psychiatric, and social work notes) and then developing and evaluating sophisticated NLP systems for automatically capturing SBDH and AD-related information. Aim 2: Using NLP enriched SBDH as independent variables from a nested case-control design, we will analyze the associations between adverse SBDH and incident AD. We will also evaluate how the associations vary by age, sex, race/ethnicity. We will compare results using NLP-enriched SBDH vs. using structured data (only) SBDH. Hypothesis 1: Patients with adverse SBDH have substantially higher AD risk, after adjusting for potential covariables (e.g., patient-specific demographic and clinical factors). Hypothesis 2: The effects of adverse SBDH on AD risk vary by age, sex and race/ethnicity, after adjusting for covariables (e.g., patient- specific clinical factors). Hypothesis 3: The effects of adverse SBDH on incident AD are likely cumulative and duration-dependent, with more and longer adverse SBDH leading to higher AD risk. Aim 3: Early AD diagnosis may prevent or delay AD development through intervention efforts on SBDH.34 Cognitive decline occurs 4-8 years prior to AD diagnosis.35 We will study whether inclusion of NLP-enriched adverse SBDH and AD-related information helps early AD diagnosis. We will use three types of predictive models: statistical regression, traditional machine learning, and innovative deep learning models.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $1,477,571 )
2026	2026	UNIVERSITY OF MASSACHUSETTS LOWELL	220 PAWTUCKET ST STE 400	LOWELL	MA	01854	MIDDLESEX	USA	Aging Research	000	4	3/5/2026	NON-COMPETING CONTINUATION	$1,477,571
														Subtotal = $1,477,571

Issue Date FY: 2025 ( Subtotal = $1,470,571 )
2025	2025	UNIVERSITY OF MASSACHUSETTS LOWELL	220 PAWTUCKET ST STE 400	LOWELL	MA	01854	MIDDLESEX	USA	Aging Research	001	3	6/10/2025	NON-COMPETING CONTINUATION	$62,525
2025	2025	UNIVERSITY OF MASSACHUSETTS LOWELL	220 PAWTUCKET ST STE 400	LOWELL	MA	01854	MIDDLESEX	USA	Aging Research	000	3	3/17/2025	NON-COMPETING CONTINUATION	$703,409
2025	2025	UNIVERSITY OF MASSACHUSETTS LOWELL	220 PAWTUCKET ST STE 400	LOWELL	MA	01854	MIDDLESEX	USA	Aging Research	002	3	9/11/2025	SUPPLEMENT FOR EXPANSION	$704,637
														Subtotal = $1,470,571

Issue Date FY: 2024 ( Subtotal = $782,282 )
2024	2024	UNIVERSITY OF MASSACHUSETTS	600 SUFFOLK ST STE 212	LOWELL	MA	01854	MIDDLESEX	USA	Aging Research	000	2	4/17/2024	NON-COMPETING CONTINUATION	$782,282
														Subtotal = $782,282

Issue Date FY: 2023 ( Subtotal = $796,315 )
2023	2023	UNIVERSITY OF MASSACHUSETTS	600 SUFFOLK ST STE 415	LOWELL	MA	01854	MIDDLESEX	USA	Aging Research	000	1	2/17/2023	NEW	$796,315
														Subtotal = $796,315

Grand Total All Awards = $4,526,739

Top

All Categories

About

Search

Reports

Data Submission

Award Information

Social and behavioral determinants of health and Alzheimer’s Disease: Cohort study of the US military veteran population

Award Number: R01AG080670

ORGANIZATION: NATIONAL INSTITUTE ON AGING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 03/01/2023

PERIOD OF PERFORMANCE END DATE: 02/29/2028

Federal Websites

Department of Health & Human Services

HHS Operating Divisions

HHS Staff Divisions

Download A Document Viewer