Estimation of body fat in Pakistani adult: A comparison of equations based upon skinfold thickness measurements

Hafeeza Naz, Kinza Mushtaq, Bilal Azeem Butt, Khadija Irfan Khawaja

Abstract


Objective: To compare three different body fats estimation equations using skin fold measurements with bioelectrical impedance analysis.

Methods: A total of 130 subjects were included from Department of Endocrinology and Metabolism, Services Hospital, Lahore from 1st April 2016 to 30th Sep. 2016. The triceps, biceps, subscapular, chest, thigh, abdominal, suprailiac skinfold thickness of the subjects was measured with skin-fold calipers (Harpenden) on non-dominant side. The percentage fat mass (%FM) predicted by using each skinfold-thickness equations namely Durnin & Womersley, Jackson & Pollock and Sloan was compared with %FM measured using a bioelectrical impedance analyzer (BIA).

Results: The mean age of subjects was 48.75±10.7 years, mean BMI was 29.08±6.09 kg/m2. The mean %FM calculated by Durnin & Womersley (32.408±0.584), Jackson & Pollock (24.658±0.527), Sloan (20.40±0.545). The %FM by BIA was 38.182±0.529. All three equations showed positive correlation but underestimated %FM as compared to BIA.

Conclusion: All three BF estimation equations underestimate body fat percentage compared to BIA. Among the three, Durnin & Womersley equation shows best positive correlation and hence it can be used for estimation of percentage fat mass as an alternate to BIA.

doi: https://doi.org/10.12669/pjms.333.12806

How to cite this:Naz H, Mushtaq K, Butt BA, Khawaja KI. Estimation of body fat in Pakistani adult: A comparison of equations based upon skinfold thickness measurements. Pak J Med Sci. 2017;33(3):635-639.   doi: https://doi.org/10.12669/pjms.333.12806

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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