Congratulations to Jon Stavres, Ph.D., on three recent publications that advance understanding of cardiometabolic health, digital assessment, and metabolic intervention science. His work spans smartphone-based anthropometry for earlier metabolic syndrome detection, population‐specific visceral adiposity thresholds, and the metabolic effects of ketone esters.

In The British Journal of Nutrition, Stavres and colleagues developed a metabolic syndrome prediction model using smartphone-derived digital anthropometrics. The study found that automated body measurements from a scanning application can accurately estimate metabolic syndrome prevalence and severity, offering a promising tool for health screening outside clinical settings.

In the American Journal of Human Biology, his team identified distinct sex- and race-specific visceral adiposity thresholds in matched Black and White adults. The findings suggest that population-specific screening tools may improve early detection of cardiometabolic risks.

In Physiological Reports, Stavres collaborated on a study examining the acute effects of a ketone monoester drink on adults with and without metabolic syndrome. Results showed shifts in substrate utilization following ketone ingestion, highlighting potential nonpharmacological strategies to support metabolic function.

(AI tools Grammarly and ChatGPT 4.0 assisted with this article.)