Understanding loneliness through computer modeling
Using computational modeling to formalize an integrated psychosocial theory of loneliness
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 ID | NIH-11068681 on NIH RePORTER |
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.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals experiencing chronic loneliness or related mental health challenges, particularly those under 21 years old.
Not a fit: Patients who do not experience loneliness or have no related mental health concerns may not benefit from this research.
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 performed: 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
Charlottesville, United States
- University of Virginia — Charlottesville, United States (Active)
Researchers
- Principal investigator: Toner, Emma Rose — University of Virginia
- Study coordinator: Toner, Emma Rose
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 below.