Trajectories of entering the metabolic syndrome: the framingham heart study

Oscar H Franco1, Joseph M Massaro, Jacky Civil

  • 1Unilever Corporate Research, Sharnbrook, UK. O.H.Franco@warwick.ac.uk

Circulation
|November 4, 2009
PubMed

Insights

Individuals developing metabolic syndrome (MetS) with specific risk factor combinations face higher cardiovascular disease and mortality risks. Early identification and treatment of these high-risk groups are crucial for better outcomes.

Area of Science:

  • Cardiology
  • Endocrinology
  • Public Health

Background:

  • Metabolic syndrome (MetS) is a growing public health concern.
  • Understanding MetS progression and its components is vital for predicting adverse health outcomes.

Purpose of the Study:

  • To evaluate the progression of MetS and its components.
  • To identify individual trajectories into MetS.
  • To determine how these trajectories predict cardiovascular disease and mortality.

Main Methods:

  • Analysis of 3078 participants from the Framingham Offspring Study (1987-1995).
  • MetS defined by Adult Treatment Panel III criteria.
  • Logistic regression used to assess component predictive ability for MetS development.
  • Hazard ratios calculated for cardiovascular events and mortality based on MetS component combinations.

Main Results:

  • MetS prevalence doubled over 10 years; hyperglycemia and central obesity increased most.
  • High blood pressure was most common (77.3%) at MetS diagnosis.
  • Central obesity posed the highest risk for developing MetS (OR, 4.75).
  • A combination of central obesity, high blood pressure, and hyperglycemia significantly increased cardiovascular event risk (HR, 2.36) and mortality risk (HR, 3.09).

Conclusions:

  • Specific MetS trajectories and factor combinations significantly elevate cardiovascular disease and mortality risks.
  • Targeted identification and early intervention for individuals with these high-risk profiles are essential.
  • Intensified efforts are needed to manage MetS progression and mitigate associated risks.
Abstract