Metabolic syndrome: An all or none or a continuum load of risk?

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: The aim of this study was to determine if an increasing number of traits of metabolic syndrome was associated with an increased severity of each of the traits. Methods: A cohort of otherwise healthy 387 Latin-American subjects was evaluated for traits of metabolic syndrome according to National Cholesterol Education Program Adult Treatment Panel III (NECP ATP III) guidelines. Waist cricumference and triglyceride, high-density lipoprotein cholesterol (HDL-C), and blood pressure (BP) levels were measured. Glucose and insulin levels were obtained after 75 g of oral glucose. Results: The prevalence of subjects with no traits and 1, 2, 3, and 4-5 traits was 10.1%, 27.1%, 36.7%, 20.9%, and 5.1%, respectively. Low HDL-C accounted for 55.2% and larger waist circumference for 30.5% of all cases with one trait. High BP and high glucose contributed mainly as the 4 th or 5 th trait. Higher values for obesity, abdominal obesity, dyslipidemia, BP, hyperglycemia, and hyperinsulinemia were observed as the number of traits increased from 0 to 4-5 traits. More traits meant more severe traits, even after adjusting by age. Subjects with metabolic syndrome but with 4-5 traits had a much higher risk load than those with 3 traits, due to more traits and more severe traits. Conclusions: We found that with an increasing number of traits of the metabolic syndrome that the severity of each trait increased. A gradual increase in risk load defined by trait clustering and severity was observed when moving from no traits to fully blown metabolic syndrome. Such a continuum of risk was also observed among subjects with metabolic syndrome, implying that subjects diagnosed with the syndrome may be at quite different risk load.

Original languageEnglish
Pages (from-to)14-19
Number of pages6
JournalMetabolic Syndrome and Related Disorders
Volume10
Issue number1
DOIs
StatePublished - Jan 2012

ASJC Scopus Subject Areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism

Disciplines

  • Internal Medicine
  • Endocrinology, Diabetes, and Metabolism

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