title: Metabolic syndrome in a sub-Saharan African setting: central obesity may be the key determinant.
abstract: OBJECTIVE
  To determine, in a rural and urban population in Cameroon, the prevalence of the metabolic syndrome (MS) using three definitions and to assess the association between components of the MS, central obesity and HOMA insulin resistance (HOMA-IR) index.
  
  
  METHODS
  A representative sample of 1573 adults (638 rural, 935 urban) were interviewed on their personal medical history. Blood pressure and anthropometric measures used standardised methods. After an overnight fast, blood samples were collected before and 2h after an OGTT and plasma glucose, plasma insulin and blood lipids determined. Modified WHO, NCEP-ATP III, and IDF definitions of the MS were used.
  
  
  RESULTS
  Central obesity was the most prevalent component of the syndrome, but prevalence varied widely according to the definition used. Hypertriglyceridemia was almost non-existent. The highest prevalence of the MS was with the WHO definition and the lowest with the NCEP-ATP III definition. Central obesity was more tightly associated with components of the MS than was HOMA-IR.
  
  
  CONCLUSIONS
  The prevalence of the MS varied greatly by rural/urban residence with the various definitions used. Central obesity appears to be the key determinant of the prevalence of the MS in sub Saharan Africa. Many MS definitions may not be appropriate for African populations.
authors.affiliation: INSERM U780-IFR69, Epidemiological and Biostatistical Research, 16 Avenue Paul Vaillant Couturier, 94807 Villejuif, France. fezeu@vjf.inserm.fr
authors.forename: Leopold
authors.initials: L
authors.lastname: Fezeu
authors.forename: Beverley
authors.initials: B
authors.lastname: Balkau
authors.forename: André-Pascal
authors.initials: AP
authors.lastname: Kengne
authors.forename: Eugène
authors.initials: E
authors.lastname: Sobngwi
authors.forename: Jean-Claude
authors.initials: JC
authors.lastname: Mbanya
mesh_terms: D050154:Adiposity; D000328:Adult; D000367:Age Factors; D000368:Aged; D002163:Cameroon / Q000453:epidemiology; D016000:Cluster Analysis; D005260:Female; D006801:Humans; D007333:Insulin Resistance; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology / Q000209:etiology* / Q000378:metabolism / Q000473:pathology; D008875:Middle Aged; D009765:Obesity / Q000150:complications* / Q000473:pathology; D012307:Risk Factors; D012737:Sex Factors