title: CVD-predictive performances of "a body shape index" versus simple anthropometric measures: Tehran lipid and glucose study.
abstract: OBJECTIVE
  To examine whether a body shape index (ABSI) calculated by using waist circumference (WC) adjusted for height and weight could improve the predictive performances for cardiovascular disease (CVD) of the Framingham's general CVD algorithm and to compare its predictive performances with other anthropometric measures.
  
  
  METHODS
  We analyzed data on a 10-year population-based follow-up of 8,248 (4,471 women) individuals aged ≥30 years, free of CVD at baseline. CVD risk was estimated for a 1 SD increment in ABSI, body mass index (BMI), waist-to-hip ratio (WHpR) and waist-to-height ratio (WHtR), by incorporating them, one at a time, into multivariate accelerated failure time models.
  
  
  RESULTS
  ABSI was associated with multivariate-adjusted increased risk of incident CVD among both men (1.26, 95% CI 1.09-1.46) and women (1.17, 1.03-1.32). Among men, for a one-SD increment, ABSI conferred a greater increase in the hazard of CVD [1.26 (1.09-1.46)] than did BMI [1.06 (0.94-1.20)], WC [1.15(1.03-1.28)], WHpR [1.02 (1.01-1.03)] and WHtR [1.16 (1.02-1.31)], and the corresponding figures among women were 1.17 (1.03-1.32), 1.02 (0.90-1.16), 1.11 (0.98-1.27), 1.03 (1.01-1.05) and 1.14 (0.99-1.03), respectively. ABSI as well as other anthropometric measures failed to add to the predictive ability of the Framingham general CVD algorithm either.
  
  
  CONCLUSIONS
  Although ABSI could not improve the predictability of the Framingham algorithm, it provides more information than other traditional anthropometric measures in settings where information on traditional CVD risk factors are not available, and it can be used as a practical criterion to predict adiposity-related health risks in clinical assessments.
authors.affiliation: Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences (RIES), Shahid Beheshti University of Medical Sciences, No 24, Parvaneh AVE, Velenjak St, Chamran HWY, P.O. Box 19395-4763, Tehran, Iran.
authors.forename: Mohammadreza
authors.initials: M
authors.lastname: Bozorgmanesh
authors.affiliation: Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences (RIES), Shahid Beheshti University of Medical Sciences, No 24, Parvaneh AVE, Velenjak St, Chamran HWY, P.O. Box 19395-4763, Tehran, Iran.
authors.forename: Mahsa
authors.initials: M
authors.lastname: Sardarinia
authors.affiliation: Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences (RIES), Shahid Beheshti University of Medical Sciences, No 24, Parvaneh AVE, Velenjak St, Chamran HWY, P.O. Box 19395-4763, Tehran, Iran.
authors.forename: Farhad
authors.initials: F
authors.lastname: Hajsheikholeslami
authors.affiliation: Endocrine Research Center, Research Institute for Endocrine Sciences (RIES), Shahid Beheshti University of Medical Sciences, Tehran, Iran.
authors.forename: Fereidoun
authors.initials: F
authors.lastname: Azizi
authors.affiliation: Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences (RIES), Shahid Beheshti University of Medical Sciences, No 24, Parvaneh AVE, Velenjak St, Chamran HWY, P.O. Box 19395-4763, Tehran, Iran. fzhadaegh@endocrine.ac.ir.
authors.forename: Farzad
authors.initials: F
authors.lastname: Hadaegh
mesh_terms: D000328:Adult; D000368:Aged; D001786:Blood Glucose / Q000378:metabolism*; D015992:Body Mass Index; D001835:Body Weight; D002318:Cardiovascular Diseases / Q000097:blood / Q000175:diagnosis*; D008076:Cholesterol, HDL / Q000097:blood*; D008078:Cholesterol, LDL / Q000097:blood*; D003430:Cross-Sectional Studies; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007492:Iran; D008019:Life Style; D008297:Male; D008875:Middle Aged; D009765:Obesity; D016016:Proportional Hazards Models; D011446:Prospective Studies; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood*; D055105:Waist Circumference; D049629:Waist-Hip Ratio
chemical_list: D001786:Blood Glucose; D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D014280:Triglycerides
keywords: ABSI; Anthropometric measures; CVD prediction; Obesity