title: Association of waist circumference with ApoB to ApoAI ratio in black and white Americans.
abstract: BACKGROUND
  Although numerous studies have demonstrated obesity as an aspect of the insulin resistance syndrome in cardiovascular disease (CVD), the mechanism is not clear. Central adiposity, acting through many CVD risk factors, including, plasma glucose, insulin, total cholesterol, low density lipoprotein-cholesterol (LDL-C) and lipoprotein moities-apolipoprotein B (ApoB), apolipoprotein A-I (ApoAI), by atherogenic and thrombotic mechanisms has been proposed as a possible mechanism. In this study, we examined the relationship between central fat distribution (defined by waist circumference) and the ratio of these lipoproteins (ApoB/ApoAI).
  
  
  METHODS
  Association between ApoB/ApoAI ratio and waist circumference was compared in Blacks (n = 854) and Whites (n = 2552) using the NHANES III population-based samples. Correlation analyses and multiple regression analyses were used to determine the association between ApoB/ApoAI and waist circumference, controlling for age, body mass index (BMI), race, gender, plasma glucose, insulin, serum triglyceride and total cholesterol.
  
  
  RESULTS
  Adjusting for age, ApoB/ApoAI was significantly correlated with waist circumference (Black men: r = 0.38, White men: r = 0.26, Black women: r = 0.20, White women: r = 0.36) (all P < 0.01). Adjusting for age and triglyceride or insulin, waist circumference was also positively correlated with CVD risk factors including, ApoB, LDL-C, plasma glucose and fasting insulin, and inversely correlated with ApoAI and HDL-C in Blacks and Whites (P < 0.05). Overall, triglyceride and total cholesterol were the strongest predictors of ApoB/ApoAI in Blacks and Whites adjusting for age, BMI and insulin, than waist girth (P < 0.01).
  
  
  CONCLUSIONS
  The result of this study suggests the need to investigate ApoB/ApoAI as another possible facet in the insulin resistant syndrome.
authors.affiliation: Department of Preventive Medicine and Epidemiology, Loyola University Chicago Medical Center, Stritch School of Medicine, Maywood, IL 60153, USA. iokosun@wpo.it.luc.edu
authors.forename: I S
authors.initials: IS
authors.lastname: Okosun
authors.forename: T E
authors.initials: TE
authors.lastname: Prewitt
authors.forename: Y
authors.initials: Y
authors.lastname: Liao
authors.forename: R S
authors.initials: RS
authors.lastname: Cooper
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D016632:Apolipoprotein A-I / Q000097:blood*; D001055:Apolipoproteins B / Q000097:blood*; D044383:Black People; D001786:Blood Glucose / Q000032:analysis; D001823:Body Composition; D015992:Body Mass Index; D002784:Cholesterol / Q000097:blood; D005260:Female; D006801:Humans; D007328:Insulin / Q000097:blood; D007333:Insulin Resistance; D008297:Male; D008875:Middle Aged; D009749:Nutrition Surveys; D009765:Obesity / Q000097:blood / Q000208:ethnology; D012044:Regression Analysis; D017678:Sex Distribution; D014280:Triglycerides / Q000097:blood; D014481:United States / Q000453:epidemiology; D044465:White People; D001741:Black or African American
chemical_list: D016632:Apolipoprotein A-I; D001055:Apolipoproteins B; D001786:Blood Glucose; D007328:Insulin; D014280:Triglycerides; D002784:Cholesterol