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Estimates of body composition during pregnancy using bioelectrical impedance analysis
Author(s) -
Toro-Ramos Tatiana,
Hoffman Daniel J.,
Sichieri Rosely
Publication year - 2012
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.26.1_supplement.813.1
Subject(s) - bioelectrical impedance analysis , pregnancy , composition (language) , fat free mass , medicine , fat mass , body water , gestation , zoology , mathematics , obstetrics , body mass index , body weight , biology , linguistics , philosophy , genetics
Bioelectrical impedance analysis (BIA) is commonly used for body composition assessment, however prediction equations used by BIA equipment are developed in healthy populations from developed countries and the assumptions made regarding the body proportions may not apply to populations with altered body geometry, such as in pregnancy. BIA using body segments may estimate body composition better than whole body measurements in pregnant women. Study subjects included 209 pregnant women aged 15–40 years and between 18 to 22 weeks gestation. Percent fat mass (%FM) and fat‐free mass in kilograms (FFM) were estimated using whole body BIA and compared to the estimated parameters using two different sets of equations from body segment and whole body resistance (R) and impedance (Z). The estimates of %FM by the manufacturer were significantly lower (30% v. 34%) and significantly higher for FFM (47kg v. 43kg) compared to the equations by Baumgartner, (P<0.001) There was poor agreement between the body composition parameters estimated using prediction equations from segmental data and the parameters measured by whole body BIA. Thus, prediction equations based on segmental measurements and developed from non‐pregnant women are a poor estimate of body composition during pregnancy. Using whole body BIA may provide a more accurate estimate of maternal body composition. Grant Funding Source : The American Egg Board