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Clusters of longitudinal risk profile trajectories are associated with cardiometabolic diseases: Results from the population-based KORA cohort.

Fiona NiedermayerGunther SchaubergerWolfgang RathmannStefanie J KlugBarbara ThorandAnnette PetersSusanne Rospleszcz
Published in: PloS one (2024)
On a population-based level, distinct longitudinal risk profiles over a 14-year time period are differentially associated with cardiometabolic events. Our results suggest that longitudinal data may provide additional information beyond single time-point measures. Their inclusion in cardiometabolic risk assessment might improve early identification of individuals at risk.
Keyphrases
  • risk assessment
  • cross sectional
  • healthcare
  • big data
  • climate change
  • data analysis