Lifestyle Slows Brain Aging Measured by MRI
The University of Florida tracked 128 midlife and older adults, most with chronic musculoskeletal pain, over two years using MRI scans and machine learning to estimate brain age. The study, published in Brain Communications, found optimism, high-quality sleep, healthy weight, stress management and strong social ties associated with brains up to eight years younger and slower age progression. Findings suggest lifestyle factors may meaningfully slow brain aging.
Key Points
- 1Used MRI and machine learning to estimate brain age gap in 128 adults over two years
- 2Found protective factors like sleep, optimism, and social support correlate with younger appearing brains
- 3Suggests modifiable lifestyle interventions may slow brain aging, even among those with chronic pain
Scoring Rationale
Solid peer-reviewed MRI+ML evidence with actionable lifestyle links; limited sample size and specific chronic-pain cohort.
Sources
Public references used for this report.
Practice interview problems based on real data
1,625 SQL & Python problems across 15 industry datasets — the exact type of data you work with.
Try 250 free problems