SciELO - Scientific Electronic Library Online

 
vol.32 issue1Nutritional components and macular degeneration age-relatedConsumption of cheese and milk and chronic diseases associated with obesity: friend or foe? author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Nutrición Hospitalaria

On-line version ISSN 1699-5198Print version ISSN 0212-1611

Abstract

GONZALEZ-RUIZ, Katherine; CORREA-BAUTISTA, Jorge Enrique  and  RAMIREZ-VELEZ, Robinson. Evaluation of the body adiposity index in predicting percentage body fat among colombian adults. Nutr. Hosp. [online]. 2015, vol.32, n.1, pp.55-60. ISSN 1699-5198.  http://dx.doi.org/10.3305/nh.2015.32.1.9087.

Objetive: the body adiposity index (BAI) is a new simplistic method for predicting body fat percentage (BF%) via a simple equation of hip circumference to height. Up to now, few studies have evaluated the performance of BAI in determining excess fat in Colombians. The aim of this study was to evaluate the usefulness of BAI as a predictor of body fat in among Colombian adults. Methods: cross-sectional study carried out in a sample of 204 male belonging to the education sector from Bogotá, Colombia. BAI was calculated based on the equation reported in the Bergman et al. %BF determined by tetrapolar bioimpedance analysis (BIA) was used as the reference measure of adiposity. Bland-Altman analysis was used to assess the agreement between the two methods: BAI and BIA. Associations between anthropometric measures of adiposity were investigated by Pearson correlation analysis. Results: in general pupulation, the BAI overestimates %BF (mean difference: 12.5 % [95%CI = -4.04 % to -21.02 %]), mainly at lower levels of adiposity (mean difference: 10.2 ± 3.3). Significant correlations were found between BAI and all measurements, being the strongest-moderate correlation with %BF (r = 0.777, p < 0.001), waist to height ratio (r = 0.557, p < 0.001) and BMI (r = 0.480, p < 0.001). Conclusion: the results of this investigation indicate that BAI results in large individual errors when predicting BF% among Colombian adults and has a tendency to provide overestimated values as BF% decreases. Therefore, this method can be a useful tool to predict %BF in Colombian adults, although it has some limitations.

Keywords : Obesity; Adiposity; Male; Colombia.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License