title: Anthropometric and metabolic indices in assessment of type and severity of dyslipidemia.
abstract: BACKGROUND
  It has been shown that obesity is associated with increased rates of dyslipidemia. The present work revisits the association between plasma lipid levels and classical indicators of obesity including body mass index (BMI). The significance of various anthropometric/metabolic variables in clinical assessment of type and severity of dyslipidemia was also determined. Recently described body indices, a body shape index (ABSI) and body roundness index (BRI), were also assessed in this context.
  
  
  METHODS
  For the present cross-sectional analytical study, the participants (n = 275) were recruited from the patients visiting different health camps. Participants were anthropometrically measured and interviewed, and their fasting intravenous blood was collected. Plasma lipid levels were accordingly determined.
  
  
  RESULTS
  The values for different anthropometric parameters are significantly different between dyslipidemic and non-dyslipidemic participants. Receiver operating characteristics curve analyses revealed that all the tested variables gave the highest area under the curve (AUC) values for predicting hypertriglyceridemia in comparison to other plasma lipid abnormalities. BRI gave slightly higher AUC values in predicting different forms of dyslipidemia in comparison to BMI, whereas ABSI gave very low values.
  
  
  CONCLUSIONS
  Several anthropometric/metabolic indices display increased predictive capabilities for detecting hypertriglyceridemia in comparison to any other form of plasma lipid disorders. The capacity of BRI to predict dyslipidemia was comparable but not superior to the classical indicators of obesity, whereas ABSI could not detect dyslipidemia.
authors.affiliation: Microbiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan.
authors.forename: Muhammad
authors.initials: M
authors.lastname: Zaid
authors.affiliation: Microbiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan.
authors.forename: Fatima
authors.initials: F
authors.lastname: Ameer
authors.affiliation: Microbiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan.
authors.forename: Rimsha
authors.initials: R
authors.lastname: Munir
authors.affiliation: Microbiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan.
authors.forename: Rida
authors.initials: R
authors.lastname: Rashid
authors.affiliation: Microbiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan.
authors.forename: Nimrah
authors.initials: N
authors.lastname: Farooq
authors.affiliation: Microbiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan.
authors.forename: Shahida
authors.initials: S
authors.lastname: Hasnain
authors.affiliation: Microbiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan. nzzaidi@yahoo.com.
authors.forename: Nousheen
authors.initials: N
authors.lastname: Zaidi
mesh_terms: D000885:Anthropology, Physical; D000886:Anthropometry; D001823:Body Composition / Q000502:physiology; D001835:Body Weight / Q000502:physiology; D003430:Cross-Sectional Studies; D050171:Dyslipidemias / Q000378:metabolism* / Q000503:physiopathology*; D006801:Humans; D008055:Lipids / Q000097:blood; D012372:ROC Curve
chemical_list: D008055:Lipids
keywords: Body indices; Dyslipidemia; Plasma lipids