Obesity

Longitudinal metabolomics of increasing body-mass index and waist-hip ratio reveals two dynamic patterns of obesity pandemic

Int J Obes (Lond)Published Observational longitudinal and cross-sectional metabolomics study

Authors' conclusion

Age-associated weight variation in adults between 24 and 49 manifests as temporal divergence in BMI and uniform progression of WHR across metabolic health strata.

Study context

Population
Finnish population-based datasets: FINRISK (ages 25–74), NFBC1966 birth cohort (age 31 and 46) for subgrouping; Young Finns Study (ages 24–39 at baseline, 10 years follow-up, three visits) for trajectories
Exposure
Four metabolic subgroups
Outcome
BMI, WHR and metabolic trajectories by subgroup
Follow-up
Age 24 to 49
Methodological detailspopulation-based, self-organizing map subgrouping, trajectory modelling by linear regression, self-organizing map (SOM) created from 174 metabolic measures; expert committee defined four subgroups by visual inspection
  • Population-based
  • Self-organizing map subgrouping
  • Trajectory modelling by linear regression
  • SOM created from 174 metabolic measures; expert committee defined four subgroups by visual inspection

Main finding

As reported in the abstract

Fasting insulin difference at age 49, TG-rich vs TG-poor
three-fold

Observational data: associations, not effects.

Original publication

Longitudinal metabolomics of increasing body-mass index and waist-hip ratio reveals two dynamic patterns of obesity pandemic. Int J Obes (Lond). Published 23 February 2023. doi:10.1038/s41366-023-01281-w

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