title: Body adiposity index and other indexes of body composition in the SAPHIR study: association with cardiovascular risk factors.
abstract: OBJECTIVE
  The accuracy of anthropometric surrogate markers such as the body adiposity index (BAI) and other common indexes like the body mass index (BMI), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) to predict metabolic sequelae is essential for its use in clinical practice.
  
  
  METHODS
  Thus, we evaluated the strength of BAI and other indexes to relate with anthropometric parameters, adipocytokines, blood lipids, parameters of glucose-homeostasis and blood pressure in 1,770 patients from the Salzburg Atherosclerosis Prevention Program in Subjects at High Individual Risk (SAPHIR) study in a crosssectional design. Measurements were BAI, BMI, WHR, WHtR, abdominal subcutaneous and visceral adipose tissue (aSAT and VAT), total body adipose tissue mass, body weight, waist- and hip circumference (WC and HC), leptin, adiponectin, high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), triglycerides (TG), fasting plasma glucose, fasting plasma insulin, the homeostasis model assessment of insulin resistance (HOMAIR), systolic and diastolic blood pressure.
  
  
  CONCLUSIONS
  BAI was significantly associated with leptin and HC. We conclude that BAI was the best calculator for leptin. BAI was inferior to BMI to predict anthropometric parameters other than HC, adiponectin, blood lipids, parameters of glucose homeostasis, and blood pressure in this cross-sectional study.
authors.affiliation: Department of Internal Medicine I, Innsbruck Medical University, Innsbruck, Austria.
authors.forename: Andreas
authors.initials: A
authors.lastname: Melmer
authors.forename: Claudia
authors.initials: C
authors.lastname: Lamina
authors.forename: Alexander
authors.initials: A
authors.lastname: Tschoner
authors.forename: Claudia
authors.initials: C
authors.lastname: Ress
authors.forename: Susanne
authors.initials: S
authors.lastname: Kaser
authors.forename: Markus
authors.initials: M
authors.lastname: Laimer
authors.forename: Anton
authors.initials: A
authors.lastname: Sandhofer
authors.forename: Bernhard
authors.initials: B
authors.lastname: Paulweber
authors.forename: Christoph F
authors.initials: CF
authors.lastname: Ebenbichler
mesh_terms: D052242:Adiponectin / Q000097:blood; D000273:Adipose Tissue; D050154:Adiposity; D000328:Adult; D000368:Aged; D001317:Austria; D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure; D015992:Body Mass Index; D001835:Body Weight; D002318:Cardiovascular Diseases / Q000209:etiology / Q000503:physiopathology*; D008076:Cholesterol, HDL / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D003430:Cross-Sectional Studies; D005215:Fasting; D005260:Female; D006706:Homeostasis; D006801:Humans; D007328:Insulin / Q000097:blood; D007333:Insulin Resistance; D020738:Leptin / Q000097:blood; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000150:complications / Q000503:physiopathology*; D011446:Prospective Studies; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood; D055105:Waist Circumference; D049629:Waist-Hip Ratio
chemical_list: D052242:Adiponectin; D001786:Blood Glucose; D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D007328:Insulin; D020738:Leptin; D014280:Triglycerides