Phenotypic Heterogeneity of Obesity and Short‐Term Cardiometabolic Risk Factors Transitions: A Population‐Based Cohort Study
Authors' conclusion
Phenotypic manifold mapping of childhood obesity identifies body composition subtypes with divergent short-term cardiometabolic risk trajectories.
Study context
- Population
- Children with obesity; training cohort with nine body composition metrics (whole-body and regional fat/muscle mass index, visceral fat area)training cohort
- Participants
- 2,262 children
- Exposure
- Associations of DDRTree-derived phenotypic dimensions with 2-year cardiometabolic risk factor transitions
- Outcome
- Cardiometabolic risk factor transitions (progression and recovery)
- Follow-up
- 2-year
Methodological detailsexternal validation cohort, Discriminative Dimensionality Reduction Tree (DDRTree) phenotyping
- External validation cohort
- Discriminative Dimensionality Reduction Tree (DDRTree) phenotyping
Main finding
As reported in the abstract
Associations of phenotypic dimensions with 2-year cardiometabolic risk factor transitions
- Dimension 1: progression to hypertension, RR
- 1.18 (1.09-1.28) (95% CI)
- Dimension 1: progression to high LDL-C, RR
- 1.29 (1.13-1.49) (95% CI)
- Dimension 1: progression to hyperuricemia, RR
- 1.22 (1.13-1.30) (95% CI)
- Dimension 1: hypertension recovery, RR
- 0.84 (0.76-0.92) (95% CI)
- Dimension 2: hypertension progression, RR
- 1.27 (1.03-1.58) (95% CI)
- Dimension 2: high LDL-C recovery, RR
- 0.48 (0.23-0.96) (95% CI)
Observational data: associations, not effects.
Further findings
Predictive performance of DDRTree dimensions vs BMI or body composition metrics
- No clear predictive advantage over BMI or body composition metrics in most analyses
Original publication
Phenotypic Heterogeneity of Obesity and Short‐Term Cardiometabolic Risk Factors Transitions: A Population‐Based Cohort Study. Diabetes Obes Metab. Published 14 June 2026. doi:10.
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