To investigate the association between MRI-derived body fat distribution patterns and brain health outcomes, including gray matter atrophy and cognitive decline, specifically focusing on the implications for clinical assessment.
Key Findings:
Pancreatic-predominant profile showed the highest proton density fat fraction and significant gray matter atrophy, particularly in anterior brain regions.
Skinny-fat profile had the highest adiposity burden despite moderate BMI and was linked to cognitive decline, with specific deficits in visual and prospective memory.
Lower total brain volume and greater white matter hyperintensity volume were observed in profiles 1 through 5 compared to the lean profile, with some sex-specific differences.
Elevated risks for mood disorders and neurologic diseases were associated with multiple fat distribution profiles, highlighting the need for tailored assessments.
Interpretation:
These findings suggest that body fat distribution patterns, rather than BMI alone, are critical in assessing neurologic risks and cognitive health.
Limitations:
The study is observational and cannot establish causation, which limits the ability to infer direct relationships.
Statistical significance was not reached in all pairwise comparisons, indicating variability in the findings.
Conclusion:
The study underscores the importance of considering fat distribution patterns in evaluating brain health and neurologic risks, suggesting a shift in clinical focus from BMI alone.
