Literature DB >> 23802512

Body composition in urban South Asian women; development of a bioelectrical impedance analysis prediction equation.

Indu Waidyatilaka1, Pulani Lanerolle, Maduka de Lanerolle-Dias, Sunethra Atukorala, Angela de Silva.   

Abstract

BACKGROUND: Assessment of body composition plays a significant role in combating chronic disease among South Asians. Accurate assessment of body composition by bioelectrical impedance analysis (BIA) requires population-specific equations which are currently unavailable for urban South Asian women. AIM: To assess validity of direct BIA assessment and selected equations for prediction of total body water (TBW), against Deuterium ((2)H2O) dilution and develop and validate a population-specific TBW equation for urban South Asian women. SUBJECTS AND
METHOD: Data of 80 urban Sri Lankan women (30-45 years) were used for this analysis. Body composition was assessed by (2)H2O dilution (reference) and BIA. Available BIA equations were assessed for validity. A new TBW equation was generated and validated.
RESULTS: Direct BIA measurements and other equations did not meet validation criteria in predicting TBW. TBW by the new equation (TBW = 3.443 + 0.342 × (height(2)/impedance) + 0.176 × weight) correlated (p < 0.001) with TBW by reference method. TBW using the new equation was not significantly different (25.30 ± 2.4 kg) from the reference (25.32 ± 2.7 kg).
CONCLUSION: Direct use of TBW by instrument and existing equations are less suitable for this population. The new TBW equation is suitable for body composition assessment in urban South Asian women.

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Year:  2013        PMID: 23802512     DOI: 10.3109/03014460.2013.787120

Source DB:  PubMed          Journal:  Ann Hum Biol        ISSN: 0301-4460            Impact factor:   1.533


  1 in total

1.  A field tool for prediction of body fat in Sri Lankan women: skinfold thickness equation.

Authors:  Indu Waidyatilaka; Angela de Silva; Maduka de Lanerolle-Dias; Sunethra Atukorala; Pulani Lanerolle
Journal:  J Health Popul Nutr       Date:  2016-09-30       Impact factor: 2.000

  1 in total

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