Measurement of body composition in postpartum South African women living with and without HIV infection

BackgroundWhile several methodologies are available to measure adiposity, few have been validated in sub-Saharan African (SSA) and none in postpartum African women living with HIV (WLHIV). We compared bioelectrical impendence analysis (BIA) and air displacement plethysmography (ADP) against dual x-r...

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Main Authors: Hlengiwe P. Madlala, Landon Myer, Hayli Geffen, Demi Meyer, Amy E. Mendham, Julia H. Goedecke, Angela M. Bengtson, Jennifer Jao, Lara R. Dugas
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Nutrition
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2024.1280425/full
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author Hlengiwe P. Madlala
Landon Myer
Hayli Geffen
Demi Meyer
Amy E. Mendham
Amy E. Mendham
Julia H. Goedecke
Julia H. Goedecke
Angela M. Bengtson
Jennifer Jao
Jennifer Jao
Lara R. Dugas
Lara R. Dugas
author_facet Hlengiwe P. Madlala
Landon Myer
Hayli Geffen
Demi Meyer
Amy E. Mendham
Amy E. Mendham
Julia H. Goedecke
Julia H. Goedecke
Angela M. Bengtson
Jennifer Jao
Jennifer Jao
Lara R. Dugas
Lara R. Dugas
author_sort Hlengiwe P. Madlala
collection DOAJ
description BackgroundWhile several methodologies are available to measure adiposity, few have been validated in sub-Saharan African (SSA) and none in postpartum African women living with HIV (WLHIV). We compared bioelectrical impendence analysis (BIA) and air displacement plethysmography (ADP) against dual x-ray absorptiometry (DXA) in South African women and examined differences by HIV and body mass index (BMI) status.MethodsLin’s concordance correlation coefficient (CCC) test was used to examine fat mass (FM), fat free mass (FFM), and total body fat percent (%BF) difference between BIA vs. DXA, and ADP vs. DXA in women living with HIV (n = 57) and without HIV (n = 25). The Bland Altman test was used to assess mean differences and the direction of bias.ResultsThe median age was 31 years (IQR, 26–35) and months postpartum were 11 (IQR, 7–16), 44% of the women had obesity. Lin’s CCC for BIA and ADP vs. DXA were both 0.80 for %BF and 0.97 for FM, and 0.86 and 0.80 for FFM, respectively. Mean differences (DXA-BIA and ADP estimates) were 0.22 ± 4.54% (p = 0.54) and 3.35 ± 3.27% (p < 0.01) for %BF, −0.82 ± 3.56 kg (p = 0.06) and 1.43 ± 2.68 kg (p = 0.01) for FM, −1.38 ± 3.61 kg (p = 0.01) and − 3.34 ± 2.37 kg (p < 0.01) for FFM, respectively. BIA overestimated %BF in WLHIV and underestimated it in women with obesity.ConclusionBody composition measurements using BIA and ADP correlated well with DXA, thereby providing alternative, safe tools for measuring postpartum FM and FFM in SSA women, including WLHIV.
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spelling doaj.art-ce6c5a7bd0da4f16bb111aff8cff77a72024-02-07T04:35:26ZengFrontiers Media S.A.Frontiers in Nutrition2296-861X2024-02-011110.3389/fnut.2024.12804251280425Measurement of body composition in postpartum South African women living with and without HIV infectionHlengiwe P. Madlala0Landon Myer1Hayli Geffen2Demi Meyer3Amy E. Mendham4Amy E. Mendham5Julia H. Goedecke6Julia H. Goedecke7Angela M. Bengtson8Jennifer Jao9Jennifer Jao10Lara R. Dugas11Lara R. Dugas12Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South AfricaDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South AfricaDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South AfricaDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South AfricaRiverland Academy of Clinical Excellence (RACE), Riverland Mallee Coorong Local Health Network, South Australia Health, Berri, SA, AustraliaDivision of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, Health Through Physical Activity, Lifestyle and Sport Research Centre (HPALS), FIMS International Collaborating Centre of Sports Medicine, University of Cape Town, Cape Town, South AfricaDivision of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, Health Through Physical Activity, Lifestyle and Sport Research Centre (HPALS), FIMS International Collaborating Centre of Sports Medicine, University of Cape Town, Cape Town, South AfricaBiomedical Research and Innovation Platform, South African Medical Research Council, Cape Town, South AfricaDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United StatesDivision of Infectious Diseases, Department of Paediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, United StatesDivision of Infectious Diseases, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United StatesDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South AfricaPublic Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL, United StatesBackgroundWhile several methodologies are available to measure adiposity, few have been validated in sub-Saharan African (SSA) and none in postpartum African women living with HIV (WLHIV). We compared bioelectrical impendence analysis (BIA) and air displacement plethysmography (ADP) against dual x-ray absorptiometry (DXA) in South African women and examined differences by HIV and body mass index (BMI) status.MethodsLin’s concordance correlation coefficient (CCC) test was used to examine fat mass (FM), fat free mass (FFM), and total body fat percent (%BF) difference between BIA vs. DXA, and ADP vs. DXA in women living with HIV (n = 57) and without HIV (n = 25). The Bland Altman test was used to assess mean differences and the direction of bias.ResultsThe median age was 31 years (IQR, 26–35) and months postpartum were 11 (IQR, 7–16), 44% of the women had obesity. Lin’s CCC for BIA and ADP vs. DXA were both 0.80 for %BF and 0.97 for FM, and 0.86 and 0.80 for FFM, respectively. Mean differences (DXA-BIA and ADP estimates) were 0.22 ± 4.54% (p = 0.54) and 3.35 ± 3.27% (p < 0.01) for %BF, −0.82 ± 3.56 kg (p = 0.06) and 1.43 ± 2.68 kg (p = 0.01) for FM, −1.38 ± 3.61 kg (p = 0.01) and − 3.34 ± 2.37 kg (p < 0.01) for FFM, respectively. BIA overestimated %BF in WLHIV and underestimated it in women with obesity.ConclusionBody composition measurements using BIA and ADP correlated well with DXA, thereby providing alternative, safe tools for measuring postpartum FM and FFM in SSA women, including WLHIV.https://www.frontiersin.org/articles/10.3389/fnut.2024.1280425/fullbody compositionwomen with HIVpostpartumdual-energy X-ray absorptiometry (DXA)bioelectrical impedance analysis (BIA)air displacement plethysmography (ADP)
spellingShingle Hlengiwe P. Madlala
Landon Myer
Hayli Geffen
Demi Meyer
Amy E. Mendham
Amy E. Mendham
Julia H. Goedecke
Julia H. Goedecke
Angela M. Bengtson
Jennifer Jao
Jennifer Jao
Lara R. Dugas
Lara R. Dugas
Measurement of body composition in postpartum South African women living with and without HIV infection
Frontiers in Nutrition
body composition
women with HIV
postpartum
dual-energy X-ray absorptiometry (DXA)
bioelectrical impedance analysis (BIA)
air displacement plethysmography (ADP)
title Measurement of body composition in postpartum South African women living with and without HIV infection
title_full Measurement of body composition in postpartum South African women living with and without HIV infection
title_fullStr Measurement of body composition in postpartum South African women living with and without HIV infection
title_full_unstemmed Measurement of body composition in postpartum South African women living with and without HIV infection
title_short Measurement of body composition in postpartum South African women living with and without HIV infection
title_sort measurement of body composition in postpartum south african women living with and without hiv infection
topic body composition
women with HIV
postpartum
dual-energy X-ray absorptiometry (DXA)
bioelectrical impedance analysis (BIA)
air displacement plethysmography (ADP)
url https://www.frontiersin.org/articles/10.3389/fnut.2024.1280425/full
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