ObMetrics: A Shiny app to assist in metabolic syndrome assessment in paediatric obesity
Authors' conclusion
ObMetrics proved to be a powerful tool for paediatric research, generating detailed reports on the prevalence of MetS and its components based on various definitions and reference standards. Our case study further provides valuable insights into the challenges of characterising metabolic health in paediatric populations. Future efforts should focus on developing unified consensus guidelines for paediatric MetS. Meanwhile, ObMetrics enables earlier identification and targeted intervention for high-risk children and adolescents.
Study context
- Population
- Two ethnically diverse paediatric populations; Metabolic Syndrome (MetS) prevalence reported in children with obesity2 cohorts
- Participants
- 1,759 vs 2,411
- Comparison
- MetS prevalence across definitions and cohorts
- Hispanic-Americann = 1,759
- Hispanic-Europeann = 2,411
- Outcome
- MetS prevalence in children with obesity, by definition (Cook, Zimmet, Ahrens)
Methodological detailssoftware tool with case study, two cohorts
- Software tool with case study
- Two cohorts
Main finding
As reported in the abstract
Cook
Zimmet
Ahrens
Further findings
Component-specific z-scores
- Ethnic-specific differences in lipid metabolism and blood pressure
Software performance
- ObMetrics considerably reduced analysis time and minimised potential for errors
Original publication
ObMetrics: A Shiny app to assist in metabolic syndrome assessment in paediatric obesity. Pediatr Obes. Published 5 May 2025. doi:10.
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