title: Influence of age on the prevalence and components of the metabolic syndrome and the association with cardiovascular disease.
abstract: OBJECTIVE
  The significance of the metabolic syndrome (MS) is debated. We investigated whether MS component (by ATPIII and IDF definitions) clustering and any association between MS and prevalent cardiovascular disease (CVD) varied with age.
  
  
  METHODS
  In all, 1429 adults (≥25 years) from randomly selected households in rural Victoria, Australia, were assessed for components of MS and prevalent CVD. The expected prevalence of MS was calculated following a simple probabilistic model using the prevalence of each MS component.
  
  
  RESULTS
  The observed prevalence of MS was greater than expected: 27.0% vs 21.2% (ATPIII) and 36.0% vs 30.1% (IDF; p<0.0001), based on the prevalence of individual components. There was significant clustering of 4 and 5 MS components in participants <65 years (p<0.0001). CVD was more prevalent in MS participants, 13.5% (IDF), 14.5% (ATPIII) versus 5.3% (no MS) p<0.0001. The OR for CVD in MS participants was greatest in those <45 years OR (95% CI): IDF 17.5 (1.8 to 172); ATPIII 24.3(2.4 to 241), p<0.001 for both, and was not significant in those >65 years. The prevalence of MS (ATPIII) with normal waist circumference (WC) was less than expected (4.8% vs 7.9%, p<0.002). Low levels of high-density lipoprotein and high triglyceride were less common in older MS participants.
  
  
  CONCLUSIONS
  ATPIII MS is rare among those with a normal WC. MS components cluster most markedly among those aged <65 years, who also experience substantially greater rates of CVD. Younger patients with MS may warrant more aggressive CVD preventative treatment than suggested by the summation of their individual risk factors.
authors.affiliation: Department of Diabetes , Monklands Hospital , Airdrie, Lanarkshire , UK.
authors.forename: Marion C
authors.initials: MC
authors.lastname: Devers
authors.affiliation: Department of Medicine , Hairmyres Hospital , East Kilbride, South Lanarkshire , UK.
authors.forename: Stewart
authors.initials: S
authors.lastname: Campbell
authors.affiliation: Department of Rural Health, University of Melbourne, Shepparton, Victoria, Australia; University of Western Sydney School of Medicine, Campbelltown, New South Wales, Australia.
authors.forename: David
authors.initials: D
authors.lastname: Simmons
keywords: Ageing; Cardiovascular Epidemiology; Mathematical Models and Methods; Metabolic Syndrome