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Multidimensional Risk Profiles and Mechanisms for Loneliness in Stroke Survivors: A Socioecological Approach

Award Number: RF1AG097599
ORGANIZATION: NATIONAL INSTITUTE ON AGING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/02/2026
PERIOD OF PERFORMANCE END DATE: 08/31/2030

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Multidimensional Risk Profiles and Mechanisms for Loneliness in Stroke Survivors: A Socioecological Approach - In 2023 the U.S. Office of the Surgeon General declared the widespread loneliness 1 amongst U.S. adults as a public health crisis and a priority for research. This urgent call was echoed in the recent statement from the American Heart Association (AHA), which emphasized the need for research in populations at risk for both loneliness and cardiovascular disease (CVD). Stroke and transient ischemic attack (TIA) significantly increase one’s likelihood of becoming lonely. In turn, loneliness shows robust associations with future CVD events. Loneliness is an embedded phenomenon caused by a complex set of intersecting risk factors across individual, interpersonal, and community levels. Critically, existing research has yet to apply methods for examining the ways in which risk factors cluster to form distinct risk profiles that are necessary to identify before tailored interventions can be developed. Research on loneliness has also largely been conducted in the general population, which necessarily precludes a focus on unique risk factors faced by stroke survivors (e.g., impaired communication due to stroke-related speech production deficits). Informed by the socioecological framework (SEF), the proposed study will be the first to identify distinct profiles of risk for loneliness over the first year after stroke in this priority population. We will leverage our ED-based research infrastructure to recruit a representative sample of stroke/TIA survivors (N = 1,000) to collect data at hospital discharge and at 1, 3, 6, and 12 months post-discharge. We hypothesize to identify 4-5 profiles of multilevel risk factors, assessed at baseline (individual: diagnosis [stroke, TIA], stroke severity, extent of physical disability, cognitive impairment, language impairment, depressive symptoms, social and economic risk status; interpersonal: partner status, caregiver status, household composition; community: neighborhood risk indices). We hypothesize that these profiles will be significantly associated with loneliness and stroke burden over the first year after stroke. Understanding the reasons why certain risk profiles precipitate loneliness informs mechanistic intervention targets. Thus, we will test the prospective association of risk profiles with two candidate mechanisms identified in the literature that may be harnessed in future interventions to reduce the risk for loneliness and its adverse health consequences: (1) social participation and (2) purpose in life. We will also identify demographic predictors of risk profile membership. Findings from this study have potential to guide the development of tailored interventions to prevent loneliness after stroke and improve recovery, as well as to inform theories of loneliness and health across multiple levels of influence.


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 = $3,356,083 )
2026	2026	THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK	630 W 168TH ST FL 4	NEW YORK	NY	10032	NEW YORK	USA	Aging Research	000	1	9/1/2026	NEW	$3,356,083
														Subtotal = $3,356,083

Grand Total All Awards = $3,356,083

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Multidimensional Risk Profiles and Mechanisms for Loneliness in Stroke Survivors: A Socioecological Approach

Award Number: RF1AG097599

ORGANIZATION: NATIONAL INSTITUTE ON AGING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 09/02/2026

PERIOD OF PERFORMANCE END DATE: 08/31/2030

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