title: High prevalence of metabolic syndrome in Iran in comparison with France: what are the components that explain this?
abstract: BACKGROUND
  The aim of this study was to investigate the difference in the prevalence of metabolic syndrome and its components between an Iranian and a French population.
  
  
  METHODS
  The prevalence of metabolic syndrome, defined according to the Adult Treatment Panel III (ATP III), and of related abnormalities, was estimated in 1,386 French and 1,194 Iranian adults.
  
  
  RESULTS
  The prevalence of metabolic syndrome was significantly higher in Iranian women (55.0%), followed by Iranian men (30.1%), than in French men (13.7%) and French women (6.6%). Iranian women were characterized by high rates of abdominal obesity (65.0%), hypertension (52.1%), hypertriglyceridemia (43.1%), and low high-density lipoprotein cholesterol (HDL-C; 92.7%). Iranian men were characterized by high rates of hypertension (48.9%), hypertriglyceridemia (42.8%), and low HDL-C (81.8%). French men had high rates of hypertension (44.7%) and mild rates of hypertriglyceridemia (28.6%) and hyperglycemia (23.9%). There was a relationship between waist circumference and the lipid components of metabolic syndrome in both countries.
  
  
  CONCLUSIONS
  The main finding of this study is the high prevalence of low HDL-C concentrations in the Iranian population, especially in Iranian women, compared with French women. Explanation of this observation could help in establishing prevention strategies.
authors.affiliation: Unité de recherche Génétique Cardiovasculaire EA 4373, Université de Lorraine, Faculté de Pharmacie, Nancy, France.
authors.forename: Mohsen
authors.initials: M
authors.lastname: Azimi-Nezhad
authors.forename: Bernard
authors.initials: B
authors.lastname: Herbeth
authors.forename: Gérard
authors.initials: G
authors.lastname: Siest
authors.forename: Sébastien
authors.initials: S
authors.lastname: Dadé
authors.forename: Ndeye Coumba
authors.initials: NC
authors.lastname: Ndiaye
authors.forename: Habibollah
authors.initials: H
authors.lastname: Esmaily
authors.forename: Seyyed Javad
authors.initials: SJ
authors.lastname: Hosseini
authors.forename: Majid
authors.initials: M
authors.lastname: Ghayour-Mobarhan
authors.forename: Sophie
authors.initials: S
authors.lastname: Visvikis-Siest
mesh_terms: D000328:Adult; D000704:Analysis of Variance; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure; D015992:Body Mass Index; D016009:Chi-Square Distribution; D008076:Cholesterol, HDL / Q000097:blood; D003431:Cross-Cultural Comparison; D005163:Factor Analysis, Statistical; D005260:Female; D005602:France / Q000453:epidemiology; D006801:Humans; D006943:Hyperglycemia / Q000175:diagnosis / Q000453:epidemiology*; D006973:Hypertension / Q000175:diagnosis / Q000453:epidemiology*; D015228:Hypertriglyceridemia / Q000175:diagnosis / Q000453:epidemiology*; D007492:Iran / Q000453:epidemiology; D008297:Male; D024821:Metabolic Syndrome / Q000175:diagnosis / Q000453:epidemiology*; D008875:Middle Aged; D056128:Obesity, Abdominal / Q000175:diagnosis / Q000453:epidemiology*; D015995:Prevalence; D012737:Sex Factors; D055105:Waist Circumference
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D008076:Cholesterol, HDL