Understanding loneliness through computer modeling
Official title: Using computational modeling to formalize an integrated psychosocial theory of loneliness
Funded at University of Virginia · NIH-11068681 · Data updated 2026-11-12
This study is looking at how loneliness affects our health by combining ideas from psychology and sociology, and it hopes to help people understand and tackle loneliness better, which could lead to new ways to support those who feel lonely and may be struggling with anxiety or depression.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Virginia NIH-funded |
| Lab location | 1 site (Charlottesville, United States) |
| Project start | January 1, 2025 |
| Project end | December 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $40,237 |
| NIH project number | 1F31MH136730-01A1 |
| Project ID | NIH-11068681 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals experiencing chronic loneliness or related mental health challenges, particularly those under 21 years old.
✕Less likely to help
Patients who do not experience loneliness or have no related mental health concerns may not benefit from this research.
What this research studies
This research investigates the complex nature of loneliness and its health impacts by using computational modeling. It aims to integrate insights from various fields such as psychology and sociology to create a comprehensive model that captures the interactions between social networks and individual beliefs. By formalizing these interactions mathematically, the research seeks to better understand how chronic loneliness develops and its associated risks, such as anxiety and depression. Patients may benefit from insights that could lead to improved interventions for loneliness.
Why it matters
Potential benefit: If successful, this research could lead to more effective strategies for addressing chronic loneliness and its related health issues.
How similar studies have gone: While computational modeling in this context is a novel approach, previous research has shown success in using interdisciplinary methods to address complex psychological issues.
Where this research is happening
-
University of Virginia
Charlottesville, United States Active
Researchers
- Principal investigator: Toner, Emma Rose — University of Virginia
- Study coordinator: Toner, Emma Rose
Related research
Other NIH-funded projects on the same topics.
-
Social virtual reality to tackle loneliness in older men with HIV
A new virtual reality program designed for older men living with HIV to connect with others and reduce loneliness, with the goal of improving health and daily well‑being.
-
ADRD spousal caregivers: real-time loneliness and immune links
A real-world study will follow 300 spouses caring for someone with Alzheimer’s disease or related dementias to understand how loneliness, social isolation, and daily stress relate to immune and cellular aging.
-
Understanding loneliness in stroke survivors to improve care
A study will identify different loneliness risk profiles in adults who had a stroke or TIA to help tailor support and interventions.
-
New daily loneliness indicators and aging outcomes
Researchers are studying how day-to-day loneliness affects aging and health in adults, to uncover how loneliness might speed up biological aging and functional decline.
-
Understanding how the brain and thinking shape loneliness in adults
This grant studies how brain processes and thoughts create loneliness in adults and could help develop ways to reduce loneliness and its health risks.
-
How loneliness and culture shape risky drinking patterns
This grant explores why loneliness and cultural context influence risky drinking, with goals to help people in diverse communities understand and reduce problematic alcohol use.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.