title: Prevalence of the metabolic syndrome in Peruvian Andean hispanics: the PREVENCION study.
abstract: Data regarding the prevalence of metabolic syndrome (MTS) in Andean populations are limited. We evaluated the prevalence of MTS according to American Heart Association/National Heart, Lung and Blood Institute criteria among 1878 subjects in the PREVENCION study in Peru. In women, the most common component was low HDL cholesterol (60.9%) followed by abdominal obesity (36.9%). In men, the most common component was elevated triglycerides (52.0%) followed by low HDL cholesterol (32.5%), whereas the prevalence of abdominal obesity was 14%. Abnormal fasting glucose was the least common component in men (5.4%) and women (5.0%). The prevalence of MTS was significantly higher in women compared to men (23.2% versus 14.3%) and increased steeply with age, particularly in women (p<0.0001). Using body mass index (BMI>or=30kg/m2) instead of waist circumference as a component of the MTS lead to equivalent prevalence estimates of MTS in men but significantly underestimated the prevalence in women. The MTS is highly prevalent among Peruvian Andeans, particularly in older women. The pattern of MTS components in this Andean population is characterized by a high prevalence of dyslipidemia and a relatively low prevalence of elevated fasting glucose. Further studies are required to characterize genetic and environmental determinants of these patterns.
authors.affiliation: Santa Maria Catholic University School of Medicine and Santa Maria Research Institute, Arequipa, Peru.
authors.forename: Josefina
authors.initials: J
authors.lastname: Medina-Lezama
authors.forename: Humberto
authors.initials: H
authors.lastname: Zea-Diaz
authors.forename: Oscar L
authors.initials: OL
authors.lastname: Morey-Vargas
authors.forename: Juan F
authors.initials: JF
authors.lastname: Bolaños-Salazar
authors.forename: Edgar
authors.initials: E
authors.lastname: Muñoz-Atahualpa
authors.forename: Mauricio
authors.initials: M
authors.lastname: Postigo-MacDowall
authors.forename: Fernando
authors.initials: F
authors.lastname: Corrales-Medina
authors.forename: Zoila
authors.initials: Z
authors.lastname: Valdivia-Ascuña
authors.forename: Carolina
authors.initials: C
authors.lastname: Cuba-Bustinza
authors.forename: Sheyla
authors.initials: S
authors.lastname: Paredes-Díaz
authors.forename: Paola
authors.initials: P
authors.lastname: Villalobos-Tapia
authors.forename: Julio
authors.initials: J
authors.lastname: Chirinos-Pacheco
authors.forename: Ronald B
authors.initials: RB
authors.lastname: Goldberg
authors.forename: Julio A
authors.initials: JA
authors.lastname: Chirinos
mesh_terms: D000328:Adult; D000368:Aged; D015992:Body Mass Index; D008076:Cholesterol, HDL / Q000097:blood; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D007199:Indians, South American / Q000706:statistics & numerical data; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology*; D008875:Middle Aged; D010568:Peru / Q000453:epidemiology; D015995:Prevalence; D044465:White People / Q000706:statistics & numerical data
chemical_list: D008076:Cholesterol, HDL