Weight Trajectory Impacts Risk for 10 Distinct Cardiometabolic Diseases
Authors' conclusion
The relationship between weight cycling and cardiometabolic disease risk was independent of having high baseline BMI, which was similar among weight trajectory groups. The present findings support promoting either weight stability at high BMI or weight loss if able to be maintained to prevent the incidence of a variety of cardiometabolic diseases.
Study context
- Population
- Adults with similar high baseline body mass index (BMI) treated at Vanderbilt University Medical Center, 1997–2020
- Exposure
- Weight trajectory vs weight stable
- Outcome
- Risk for 10 highly prevalent cardiometabolic diseases
Methodological detailselectronic health record data, landmark approach, multivariate Cox proportional hazards regression
- Electronic health record data
- Landmark approach
- Multivariate Cox proportional hazards regression
Main finding
As reported in the abstract
Risk of cardiometabolic diseases
Hazard ratio (95% CI)
Weight cyclingvs Weight stabilityobstructive sleep apnea
1.28(1.15–1.42)
Weight cyclingvs Weight stabilitymetabolic dysfunction-associated steatotic liver disease
1.28(1.08–1.51)
Weight cyclingvs Weight stabilityT2D
1.23(1.10–1.38)
Weight cyclingvs Weight stabilityHF
1.54(1.31–1.82)
Weight gainvs Weight stabilityHF
1.29(1.08–1.55)
Weight lossvs Weight stabilityHF
1.32(1.10–1.58)
Observational data: associations, not effects.
Original publication
Weight Trajectory Impacts Risk for 10 Distinct Cardiometabolic Diseases. J Clin Endocrinol Metab. Published 11 June 2025. doi:10.
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