4.5 Article

Longitudinal and age trends of metabolic syndrome and its risk factors: The Family Heart Study

Journal

NUTRITION & METABOLISM
Volume 3, Issue -, Pages -

Publisher

BMC
DOI: 10.1186/1743-7075-3-41

Keywords

-

Funding

  1. NHLBI NIH HHS [U10 HL054472, U01 HL054472, U10 HL054466, U01 HL054471, U01 HL054496, U10 HL054497, U01 HL054485, U10 HL054509, U01 HL054527, U01 HL064777, U01 HL054508, U01 HL054463, U10 HL054464, U01 HL054504, U01 HL054497, U01 HL054509, U10 HL054504, U10 HL054526, U01 HL054464, U01 HL054526, U10 HL054508, U10 HL054457, U10 HL054481, U01 HL054457, U10 HL054463, U01 HL054498, U10 HL054485, U01 HL054466, U01 HL054481, U10 HL054473, U10 HL054495, U10 HL054496, U10 HL054471, U01 HL054512, U01 HL054495, U01 HL054473, U10 HL054512] Funding Source: Medline
  2. NHLBI NIH HHS [U01 HL056567, K01 HL070444] Funding Source: Medline
  3. NIDDK NIH HHS [P30 DK056341-06, P30 DK056341-05S2, P30 DK056341] Funding Source: Medline

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Background: We report longitudinal changes in the metabolic syndrome (MetS) in 2,458 participants from 480 families in the Family Heart Study. Participants were examined between 1994 - 96 (FHS-T1) and 2002 - 03 (FHS-T2), about 7.4 years apart. Additionally, the impact of medication on estimates of MetS prevalence, and associations of MetS with prevalent coronary heart disease (CHD) and type 2 diabetes (T2D) were studied. Methods: Three definitions for MetS prevalence were considered. One represented the original (o) National Cholesterol Education Program (NCEP) MetS criteria. Two others considered the confounding of medications effects, respectively ( m) lipid medications constituted a categorical diagnostic criterion for lipids variables, and ( c) lipids and blood pressure variables were corrected with average clinical trials medications effects. Logistic regression of MetS on CHD and T2D, as well as the trend analysis of MetS by age, were performed. Results: MetS increased from 17.1% in FHS- T1( o) to 28.8% in FHS-T2( o); from 19.7% in FHST1( m) to 42.5% in FHS- T2( m); and from 18.4% in FHS- T1( c) to 33.6% in FHS- T2( c). While we observed adverse changes in all risk factors, the greatest increase was for waist circumference (25%). The percentages of MetS were about 2 to almost 3 times higher in ages 50 years and older than in younger ages. The odds of having prevalent CHD were about 2.5 times higher in the subjects classified with MetS than without. Conclusion: MetS percentages increased noticeably longitudinally and cross-sectionally with older age. These conclusions were reached with and without considering medication use, but correcting risk factors for medications use affects the MetS prevalence estimates. As found in other studies, MetS was associated with increased odds for prevalent CHD.

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