title: New anthropometric indices or old ones: Which is the better predictor of body fat?
abstract: BACKGROUND
  The percent and distribution of body fat are important factors in the pathogenesis of numerous diseases. Our aim was to investigate common anthropometric indices in their relationship with body fat content.
  
  
  METHODS
  In a cross-sectional study 1360 healthy individuals (580 men and 780 women) in a cluster sampling, from Ahvaz, Iran, body fat content (using bioelectrical impedance) and anthropometric measurements [weight, waist circumference, a body shape index, abdominal volume index, body adiposity index, conicity, body mass index, hip circumference, waist to hip ratio and waist to height ratio] was obtained. The ROC curve analysis was used to compare each index with body fat percent.
  
  
  RESULTS
  Significant difference was found between men and women in all anthropometric parameters (p < 0.001). Women displayed higher percentages in the overweight and obese categories (33.6% vs. 32.9% and 26.4% vs. 22.1%, respectively). In both men and women, the strongest correlations were seen between body fat percent and BMI, AVI and WHtR (r>7.9 and p<0.001). BMI, WHtR and AVI in men and BAI, BMI and WHtR in women showed the most accuracy for estimating body fat percent, respectively.
  
  
  CONCLUSIONS
  All anthropometric parameters could predict body fat percent with relatively good power, however BMI, WHtR and AVI are more powerful predictors. Based on our findings, we suggest using the AVI and WHtR instead of other indexes, as they are better able to assess the accumulation of fat in the abdominal area and are able to more accurately assess body fat percent, which are indicators of chronic disease.
authors: Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran; Health Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
authors: Elham
authors: E
authors: Ehrampoush
authors: Department of MPH, Shiraz University of Medical Sciences, Shiraz, Iran. Electronic address: peyman.arasteh@yahoo.com.
authors: Peyman
authors: P
authors: Arasteh
authors: Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran; Health Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. Electronic address: r_homayounfar@yahoo.com.
authors: Reza
authors: R
authors: Homayounfar
authors: Nutrition and Metabolic Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
authors: Makan
authors: M
authors: Cheraghpour
authors: Nutrition and Metabolic Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
authors: Meysam
authors: M
authors: Alipour
authors: Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
authors: Mohammad Mehdi
authors: MM
authors: Naghizadeh
authors: Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
authors: Maryam
authors: M
authors: Hadibarhaghtalab
authors: National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
authors: Sayed Hosein
authors: SH
authors: Davoodi
authors: Shiraz University of Medical Sciences, Shiraz, Iran.
authors: Alireza
authors: A
authors: Askari
authors: National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
authors: Jalaledin Mirzay
authors: JM
authors: Razaz
mesh_terms: D000273:Adipose Tissue / Q000033:anatomy & histology / Q000473:pathology; D050154:Adiposity / Q000502:physiology*; D000328:Adult; D015992:Body Mass Index; D001837:Body Weights and Measures / Q000379:methods*; D003430:Cross-Sectional Studies; D017097:Electric Impedance; D005260:Female; D006305:Health Status Indicators; D006801:Humans; D007492:Iran; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000175:diagnosis* / Q000378:metabolism / Q000473:pathology; D011237:Predictive Value of Tests; D011379:Prognosis; D049629:Waist-Hip Ratio; D055815:Young Adult
keywords: Anthropometry; Body fat; Body mass index; Obesity; Weight-height ratio