title: [Relationship between the prevalence of microalbuminuria and components of metabolic syndrome in Shanghai].
abstract: OBJECTIVE
  To study the relationship between the prevalence of microalbuminuria and components of metabolic syndrome in Shanghai.
  
  
  METHODS
  A total of 3532 Shanghai Chinese (men 1622, women 1910) aged over 20 years were included. Body mass index (BMI), blood pressure, fasting plasma glucose, lipid profile and plasma insulin concentrations were measured in all subjects. Oral glucose tolerance test was performed in those subjects without knowing the diabetic history. Urinary albumin-to-creatinine ratio (ACR) was measured in an early morning spot urine sample. Microalbuminuria was diagnosed when ACR was between 30 and 300 mg/g.
  
  
  RESULTS
  (1) The prevalence of microalbuminuria was increasing with aging (P < 0.001). When compared with subjects having normal ACR, the waist-hip ratio, systolic and diastolic pressure, serum triglyceride level, fasting plasma glucose and homeostasis model assessment-insulin resistance (HOMA-IR) were all significantly increased in those subjects with microalbuminuria. (2) Along with the increment of number of items on metabolic disorders, the prevalence of microalbuminuria was significantly increased (P for trend < 0.001). (3) Multiple logistic regression analyses revealed that hypertension and hyperglycemia were independent factors associated with microalbuminuria (OR = 2.15, P < 0.001 and OR = 1.64, P = 0.01 respectively). Those subjects with two or more items on metabolic disorders had higher odd ratio for the development of microalbuminuria (OR = 3.93 and 4.77, both P < 0.001) when compared with the subjects without metabolic disorder.
  
  
  CONCLUSIONS
  The prevalence of microalbuminuria was independently associated with hypertension and hyperglycemia. The subjects with multiple metabolic abnormalities had higher risk for the development of microalbuminuria, especially in metabolic syndrome.
authors.affiliation: Shanghai Diabetes Institute, Department of Endocrinology and Metabolism, Shanghai Jiaotong University Affiliated No.6 People Hospital, Shanghai 200233, China.
authors.forename: Qing
authors.initials: Q
authors.lastname: Li
authors.forename: Wei-ping
authors.initials: WP
authors.lastname: Jia
authors.forename: Jun-qian
authors.initials: JQ
authors.lastname: Lu
authors.forename: Lei
authors.initials: L
authors.lastname: Chen
authors.forename: Yuan-min
authors.initials: YM
authors.lastname: Wu
authors.forename: Su-ying
authors.initials: SY
authors.lastname: Jiang
authors.forename: Kun-san
authors.initials: KS
authors.lastname: Xiang
mesh_terms: D000328:Adult; D000419:Albuminuria / Q000150:complications* / Q000453:epidemiology; D001786:Blood Glucose / Q000378:metabolism; D001794:Blood Pressure; D002681:China / Q000453:epidemiology; D005260:Female; D006801:Humans; D007328:Insulin / Q000097:blood; D007333:Insulin Resistance / Q000502:physiology; D016015:Logistic Models; D008297:Male; D008659:Metabolic Diseases / Q000150:complications*; D015995:Prevalence; D011897:Random Allocation; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood
chemical_list: D001786:Blood Glucose; D007328:Insulin; D014280:Triglycerides